System, method, storage medium and computer device for intelligent peak shifting of terminals

Abstract

The present invention discloses a system, method, storage medium and computer device for intelligent peak shifting of terminals. The method includes: S1, the terminal connects to the network, collects and reports the triple identification information of the terminal; S2, the platform receives the triple identification information reported by the terminal, and statistically obtains the historical trend metadata of each time interval; S3, calculates the future trend connection number of the interval based on the historical trend metadata and the set trend parameter value, and intelligently selects the best connection interval; S4, the platform sends the calculated best peak shifting time interval data to the terminal; S5, the terminal receives the best peak shifting time interval data of the terminal sent by the platform, updates and persists the local peak shifting time list at the same time, and uses the latest peak shifting interval list to connect to the core network or the platform. The present invention optimizes the terminal network connection timing, reduces invalid connections and messages, improves the dial test performance and accuracy, and achieves the effect of effectively reducing the terminal power consumption.

Description

Technical Field

[0001] The present invention relates to the technical fields of terminals and wireless communications, and more particularly to a system, method, storage medium, and computer device for intelligent peak shifting of terminals. Background Art

[0002] When an Internet of Things terminal processes services in a wireless communication network, it is often found that it cannot connect to the network normally to send and receive data because the number of connections to the core network or platform reaches the peak. At this time, it is necessary to expand the core network or platform or perform peak shifting control on the terminal. Terminal peak shifting is an important means to ensure the normal operation of terminals and networks. Terminal peak shifting in traditional methods is achieved through terminal self-peak shifting or simple random peak shifting by individual device manufacturers, which not only has low efficiency but also fails to achieve the goal of true peak shifting of the entire core network and platform. Summary of the Invention

[0003] A system, method, and computer device for intelligent peak shifting of terminals provided by the present invention can effectively improve the accuracy and efficiency of terminal network connection, and can at least solve one of the above technical problems.

[0004] To solve the above technical problems, the present invention adopts the following technical solutions:

[0005] An intelligent terminal peak shifting system includes:

[0006] A terminal information collection and reporting module, which includes terminal networking, collecting and reporting terminal triple identification information. The triple identification information includes a terminal identification ID, a cell identification CELLID, and a planned networking time interval;

[0007] A platform data receiving, data obtaining, and statistical processing module, which is used to receive the information reported by the terminal information collection and reporting module, match the corresponding nearby base station or platform information according to the cell identification CELLID, obtain the maximum connectable number Enabled_High on the base station or platform and the connection number data in each time interval, and obtain the peak connection number High, the minimum connection number Low, and the average connection number Avg in each time interval by statistically processing the connection number data in each time interval, and form historical trend metadata for each time interval;

[0008] A platform intelligent calculation module, which is used to receive the historical trend metadata transmitted by the platform data receiving, data obtaining, and statistical processing module, calculate the future trend connection number in the interval according to the historical trend metadata and the set trend parameter value, and intelligently select the best connection interval to obtain the best peak shifting time interval data;

[0009] A platform sending module, which is used to send the best peak shifting time interval data calculated by the platform intelligent calculation module to the terminal;

[0010] The terminal data receiving and persistence processing module is used to receive the best off-peak time interval data sent by the platform sending module, update and persist the local off-peak time list, and connect to the core network or the platform using the latest off-peak interval list.

[0011] Furthermore, the terminal identification ID includes terminal product model / manufacturer identification information.

[0012] Furthermore, the historical trend metadata includes a time interval serial number, a peak connection number, a minimum connection number, and an average connection number. The time interval serial number refers to dividing each day into 1 - 24 serial numbers by the hour.

[0013] Furthermore, the future trend connection number for the interval includes a balanced connection number B, a peak trend TH, and a balanced trend AH;

[0014] The best balanced connection number B = (Peak connection number High * Trend parameter 1 + Average connection number Avg * Trend parameter 2 + Minimum connection number Low * Trend parameter 3 + Average connection number Avg * Trend parameter 4) / (Trend parameter 1 + Trend parameter 2 + Trend parameter 3 + Trend parameter 4);

[0015] The balanced trend AH = Best balanced connection number B + (Best balanced connection number B - Minimum connection number Low);

[0016] The peak trend TH = Best balanced connection number B + (Peak connection number High - Minimum connection number Low).

[0017] Furthermore, the best off-peak time interval data includes the terminal identification ID, the cell identification CELLID, and the connection time serial number.

[0018] A method for terminal intelligent off-peak, implemented by using the system for terminal intelligent off-peak, includes the following steps:

[0019] S1. The terminal connects to the network, collects and reports the terminal triple identification information, and the triple identification information includes the terminal identification ID, the cell identification CELLID, and the planned network connection time interval;

[0020] S2. The platform receives the triple identification information reported by the terminal, matches the corresponding base station or platform information nearby, and statistically obtains the historical trend metadata for each time interval;

[0021] S3. Calculate the future trend connection number for the interval based on the historical trend metadata and the set trend parameter values, and intelligently select the best connection interval to obtain the best off-peak time interval data;

[0022] S4. The platform sends the calculated optimal off-peak time interval data to the terminal. The optimal off-peak time interval data includes the terminal identification ID, the cell identification CELLID, and the connection time sequence number.

[0023] S5. The terminal receives the optimal off-peak time interval data of the terminal sent by the platform, updates and persists the local off-peak time list at the same time, and uses the latest off-peak interval list to connect to the core network or the platform.

[0024] Further, the S2 further includes:

[0025] S21. Match the corresponding nearby base station or platform information according to the cell identification CELLID, and obtain the maximum connectable number Enabled_High on the base station or platform and the connection number data in each time interval.

[0026] S22. The platform obtains the peak connection number High, the minimum connection number Low, and the average connection number Avg in each time interval by counting the connection number data in each time interval, and forms the historical trend metadata of each time interval. The historical trend metadata includes the time interval sequence number, the peak connection number, the minimum connection number, and the average connection number. The time interval sequence number refers to dividing each day into 1-24 serial numbers by hour.

[0027] Further, in the S3, the optimal connection interval is selected according to the future trend connection number, and the selection process includes the following steps:

[0028] S31. If the peak trend TH+1 in the planned networking time interval is lower than or equal to the maximum connectable number Enabled_High, directly select this time interval.

[0029] S32. If the condition of S31 is not satisfied, that is, the peak trend TH+1 in the planned networking time interval is higher than the maximum connectable number Enabled_High, then check the difference between the peak trends TH+1 in other time intervals that are lower than or equal to the maximum connectable number Enabled_High, and select the time interval corresponding to the largest difference value.

[0030] S33. If the conditions of S31 and S32 are not satisfied, then judge whether the balance trend AH+1 in the planned networking time interval is lower than or equal to the maximum connectable number Enabled_High. If it is satisfied, select this time interval.

[0031] S34. If the condition of S33 is not satisfied, that is, the balance trend AH+1 in the planned networking time interval is higher than the maximum connectable number Enabled_High, then check the difference between the balance trends AH+1 in other time intervals that are lower than or equal to the maximum connectable number Enabled_High, and select the time interval corresponding to the largest difference value.

[0032] S35. If the conditions of S31, S32, S33, and S34 are not met, and at this time the connection number trend has exceeded the maximum value of the core network or platform load, it is recommended to increase the number of base stations or platform servers, and reset the maximum connectable number Enabled_High before receiving terminal networking again;

[0033] Among them, the future trend connection number of the interval includes the balanced connection number B, the peak trend TH, and the balanced trend AH;

[0034] The optimal balanced connection number B = (Peak connection number High * Trend parameter 1 + Average connection number Avg * Trend parameter 2 + Minimum connection number Low * Trend parameter 3 + Average connection number Avg * Trend parameter 4) / (Trend parameter 1 + Trend parameter 2 + Trend parameter 3 + Trend parameter 4);

[0035] The balanced trend AH = Optimal balanced connection number B + (Optimal balanced connection number B - Minimum connection number Low);

[0036] The peak trend TH = Optimal balanced connection number B + (Peak connection number High - Minimum connection number Low).

[0037] A computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the processor is caused to execute the steps of the above method for intelligent peak shaving of terminals.

[0038] A computer device includes a memory and a processor. The memory stores a computer program. When the computer program is executed by the processor, the processor is caused to execute the steps of the above method for intelligent peak shaving of terminals.

[0039] The beneficial effects of the present invention are reflected in:

[0040] 1. Clearly proposed implementation processes and calculation methods, improving the original practice of terminal autonomous networking and random peak shaving to intelligent calculation of trend connection data for each time interval and intelligent selection of the best connection time interval based on the platform's matching and statistical trend metadata according to the terminal triple identification information, which well optimizes the terminal networking timing, reduces invalid connections and messages, can greatly improve the dial test performance and accuracy, and can also effectively reduce the terminal power consumption.

[0041] 2. The algorithm for the platform to intelligently calculate trend data and select the best time interval uses the method flow of the intelligent trend calculation algorithm to predict and select the best peak shaving time interval, greatly improving the terminal networking accuracy and message sending and receiving efficiency. Description of the Drawings

[0042] The accompanying drawings described herein are used to provide a further understanding of the present application and form a part of the present application. The schematic embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation of the present application.

[0043] Figure 1 is a system structure block diagram of terminal intelligent peak clipping in an embodiment of the present invention.

[0044] Figure 2 is a method flow chart of terminal intelligent peak clipping in an embodiment of the present invention.

[0045] Figure 3 is a structure block diagram of a computer device in an embodiment of the present invention.

[0046] The labels of the components in the accompanying drawings are: 1. Terminal information collection and reporting module; 2. Platform data reception, data acquisition, and statistical processing module; 3. Platform intelligent calculation module; 4. Platform distribution module; 5. Terminal data reception and persistent processing module. Detailed implementation manners

[0047] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Without conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0048] It should be noted that the meaning of "and / or" appearing throughout the text includes three parallel solutions. Taking "A and / or B" as an example, it includes solution A, solution B, or a solution that satisfies both A and B at the same time. In addition, "a plurality of" means two or more. In addition, the technical solutions between the embodiments can be combined with each other, but it must be based on the fact that those of ordinary skill in the art can implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the protection scope required by the present invention.

[0049] See Figure 1 , an embodiment of the present invention provides a system for terminal intelligent peak clipping, including:

[0050] The terminal information collection and reporting module 1, which includes terminal networking, collecting and reporting the terminal triple identification information. The triple identification information includes the terminal identification ID, the cell identification CELLID, and the planned networking time interval;

[0051] The platform data receiving, data acquisition, and statistical processing module 2 is used to receive the information reported by the terminal information collection and reporting module 1, match the nearby corresponding base station or platform information according to the cell identifier CELLID, obtain the maximum connectable number Enabled_High on the base station or platform and the connection number data within each time interval, and obtain the peak connection number High, the lowest connection number Low, and the average connection number Avg for each time interval by statistically processing the connection number data within each time interval, thereby forming the historical trend metadata for each time interval;

[0052] The platform intelligent computing module 3 is used to receive the historical trend metadata transmitted by the platform data receiving, data acquisition, and statistical processing module 2, calculate the future trend connection number for the interval based on the historical trend metadata and the set trend parameter values, and intelligently select the optimal connection interval to obtain the optimal off-peak time interval data;

[0053] The platform sending module 4 is used to send the optimal off-peak time interval data calculated by the platform intelligent computing module 3 to the terminal;

[0054] The terminal data receiving and persistent processing module 5 is used to receive the optimal off-peak time interval data sent by the platform sending module 4, update and persist the local off-peak time list, and use the latest off-peak interval list to connect to the core network or platform.

[0055] Based on this system, the IoT terminal can optimize the terminal networking strategy based on this patent, overall improving the terminal networking success rate and reducing the terminal power consumption cost. The network core network or platform can intelligently calculate the terminal networking time interval allocation, improving the core network or platform performance and working efficiency, and reducing the operation and maintenance cost.

[0056] In this embodiment, the terminal identifier ID includes the terminal product model / manufacturer identifier information.

[0057] In this embodiment, the historical trend metadata includes the time interval serial number, the peak connection number, the lowest connection number, and the average connection number. The time interval serial number refers to dividing each day into 1 - 24 serial numbers by hour.

[0058] In this embodiment, the future trend connection number for the interval includes the balanced connection number B, the peak trend TH, and the balanced trend AH;

[0059] The optimal balanced connection number B = (peak connection number High * trend parameter 1 + average connection number Avg * trend parameter 2 + lowest connection number Low * trend parameter 3 + average connection number Avg * trend parameter 4) / (trend parameter 1 + trend parameter 2 + trend parameter 3 + trend parameter 4);

[0060] Balancing trend AH = Optimal balanced connection number B + (Optimal balanced connection number B - Lowest connection number Low);

[0061] Peak trend TH = Optimal balanced connection number B + (Peak connection number High - Lowest connection number Low).

[0062] In this embodiment, the optimal off-peak time interval data includes the terminal identifier ID, the cell identifier CELLID, and the connection time sequence number.

[0063] See Figure 2 , this embodiment of the present invention also provides a method for intelligent off-peak of terminals, implemented by using the system for intelligent off-peak of terminals, including the following steps:

[0064] S1. The terminal connects to the network, collects and reports the terminal triple identifier information, and the triple identifier information includes the terminal identifier ID, the cell identifier CELLID, and the planned network connection time interval;

[0065] S2. The platform receives the triple identifier information reported by the terminal, matches the corresponding nearby base station or platform information, and statistically obtains the historical trend metadata for each time interval;

[0066] S3. Calculate the future trend connection number for the interval based on the historical trend metadata and the set trend parameter values, and intelligently select the optimal connection interval to obtain the optimal off-peak time interval data;

[0067] S4. The platform sends the calculated optimal off-peak time interval data to the terminal, and the optimal off-peak time interval data includes the terminal identifier ID, the cell identifier CELLID, and the connection time sequence number;

[0068] S5. The terminal receives the optimal off-peak time interval data of the terminal sent by the platform, simultaneously updates and persists the local off-peak time list, and uses the latest off-peak interval list to connect to the core network or platform.

[0069] The currently common terminal off-peak method is that the terminal connects to the network independently, either without off-peak or with random off-peak connection. Independent connection to the network only estimates the load pressure on the core network or platform side, resulting in frequent connection failures or a decrease in both the success rate of sending messages and performance at the peak time; random off-peak connection only randomly reduces the off-peak probability occasionally, but it cannot perform off-peak connection to the network flexibly and accurately according to the predetermined load of the core network and the server, with low accuracy and poor prediction of the load trend;

[0070] In the peak-shifting method of the present invention, the platform matches and statistically analyzes trend metadata based on the terminal triple identification information, intelligently calculates the trend connection data for each time interval, and then intelligently selects the optimal connection time interval, generating the optimal peak-shifting time interval data to be sent to the terminal. This enables the terminal to optimize the timing of network connection, reduce invalid connections and messages, greatly improve the performance and accuracy of dial testing, and effectively reduce the power consumption of the terminal.

[0071] In this embodiment, step S2 further includes:

[0072] S21. Match the corresponding nearby base station or platform information according to the cell identifier CELLID, and obtain the maximum connectable number Enabled_High on the base station or platform and the connection number data for each time interval;

[0073] S22. The platform obtains the peak connection number High, the lowest connection number Low, and the average connection number Avg for each time interval by statistically analyzing the connection number data for each time interval, forming historical trend metadata for each time interval. The historical trend metadata includes the time interval serial number, the peak connection number, the lowest connection number, and the average connection number. The time interval serial number refers to dividing each day into 1 - 24 serial numbers by hour.

[0074] In this embodiment, in step S3, the optimal connection interval is selected based on the future trend connection number, and the selection process includes the following steps:

[0075] S31. If the peak trend TH+1 within the planned network connection time interval is lower than or equal to the maximum connectable number Enabled_High, directly select this time interval;

[0076] S32. If the condition of S31 is not met, that is, the peak trend TH+1 within the planned network connection time interval is higher than the maximum connectable number Enabled_High, then check the difference between the peak trends TH+1 of other time intervals that are lower than or equal to the maximum connectable number Enabled_High, and select the time interval corresponding to the largest difference value;

[0077] S33. If the conditions of both S31 and S32 are not met, then determine whether the balance trend AH+1 within the planned network connection time interval is lower than or equal to the maximum connectable number Enabled_High. If it is satisfied, select this time interval;

[0078] S34. If the condition of S33 is not met, that is, the balance trend AH+1 within the planned network connection time interval is higher than the maximum connectable number Enabled_High, then check the difference between the balance trends AH+1 of other time intervals that are lower than or equal to the maximum connectable number Enabled_High, and select the time interval corresponding to the largest difference value;

[0079] S35. If the conditions of S31, S32, S33, and S34 are not met, and at this time the connection number trend has exceeded the highest value of the core network or platform load, it is recommended to increase the number of base stations or platform servers, and reset the highest connectable number Enabled_High before receiving terminal networking again;

[0080] Among them, the future trend connection number of the interval includes the balanced connection number B, the peak trend TH, and the balanced trend AH;

[0081] The optimal balanced connection number B = (Peak connection number High * Trend parameter 1 + Average connection number Avg * Trend parameter 2 + Lowest connection number Low * Trend parameter 3 + Average connection number Avg * Trend parameter 4) / (Trend parameter 1 + Trend parameter 2 + Trend parameter 3 + Trend parameter 4);

[0082] The balanced trend AH = Optimal balanced connection number B + (Optimal balanced connection number B - Lowest connection number Low);

[0083] The peak trend TH = Optimal balanced connection number B + (Peak connection number High - Lowest connection number Low).

[0084] The following is an example for illustration:

[0085] The day is divided into 24 time intervals by hour, and 1 - 24 are used respectively. If the highest connection number in the first time interval is 300, the lowest is 100, and the average is 280, and the set trend parameters are all 1 (representing the same trend weight), then:

[0086] The optimal balanced connection number B = (300 * 1 + 240 * 1 + 100 * 1 + 240 * 1) / 4 = 220;

[0087] The balanced trend AH = 220 + (220 - 100) = 340;

[0088] The peak trend TH = 220 + (300 - 100) = 420.

[0089] The embodiment of the present invention also provides a computer - readable storage medium storing a computer program, and when the computer program is executed by a processor, the processor is made to execute the steps of the method for terminal intelligent peak - shifting as described above.

[0090] See Figure 3 , the embodiment of the present invention also provides a computer device including a memory and a processor, the memory stores a computer program, and when the computer program is executed by the processor, the processor is made to execute the steps of the method for terminal intelligent peak - shifting as described above.

[0091] An embodiment of the present invention also provides a computer program product containing instructions. When it runs on a computer, it causes the computer to execute the steps of the method for terminal intelligent peak shifting as described above.

[0092] It can be understood that the system, device, and storage medium provided by the embodiments of the present invention correspond to the method provided by the embodiments of the present invention. The explanations, examples, and beneficial effects of the relevant content can refer to the corresponding parts in the method for terminal intelligent peak shifting described above.

[0093] It should be noted that those of ordinary skill in the art can understand that all or part of the steps implemented in the embodiments of the present invention can be implemented in whole or in part through software, hardware, firmware, or any combination thereof. When implemented using hardware, it can be implemented in whole or in part in the form of purchasing standard parts or modified parts. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website, computer, server, or data center to another website, computer, server, or data center in a wired manner (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wirelessly (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that the computer can access or a data storage device such as a server or data center that includes one or more integrated available media. The available medium can be a magnetic medium (such as a floppy disk, hard disk, magnetic tape), an optical medium (such as a DVD), or a semiconductor medium (such as a solid-state drive (SSD)).

[0094] In summary, the present invention reports the terminal triple identification information from the terminal to the cloud platform, then matches and statistically analyzes the historical trend metadata on the platform, calculates the future trend connection data for each time interval, and then intelligently selects the best connection time interval, and then generates the best peak-shifting time interval data and sends it to the terminal. The terminal receives the intelligent peak-shifting time data sent by the platform, persists it, and then updates and uses it, so as to achieve flexible and intelligent peak-shifting networking, optimize the terminal networking timing, reduce invalid connections and messages, effectively reduce the terminal power consumption, and improve the performance of the terminal device and the operation and maintenance efficiency and accuracy of the core network or platform.

[0095] It should be understood that the examples and embodiments described herein are for illustrative purposes only and are not intended to limit the present invention. Those skilled in the art can make various modifications or changes based on it. Any modification, equivalent replacement, improvement, etc., made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for intelligent peak shifting of a terminal, characterized in that, It includes the following steps: S1. The terminal connects to the network, collects and reports the terminal triple identification information, where the triple identification information includes the terminal identification ID, the cell identification CELLID, and the planned network connection time interval; S2. The platform receives the triple identification information reported by the terminal, matches the corresponding nearby base station or platform information, and statistically obtains the historical trend metadata for each time interval; S3. Calculate the future trend connection number for the interval based on the historical trend metadata and the set trend parameter values, and intelligently select the best connection interval to obtain the best off-peak time interval data; S4. The platform sends the calculated best off-peak time interval data to the terminal, and the best off-peak time interval data includes the terminal identification ID, the cell identification CELLID, and the connection time serial number; S5. The terminal receives the best off-peak time interval data of the terminal sent by the platform, updates and persists the local off-peak time list at the same time, and uses the latest off-peak interval list to connect to the core network or the platform; In S3, the best connection interval is selected according to the future trend connection number, and the selection process includes the following steps: S31. If the peak trend TH+1 within the planned network connection time interval is lower than or equal to the maximum connectable number Enabled_High, directly select this time interval; S32. If the condition in S31 is not satisfied, that is, the peak trend TH+1 within the planned network connection time interval is higher than the maximum connectable number Enabled_High, then check the difference between the peak trends TH+1 in other time intervals that are lower than or equal to the maximum connectable number Enabled_High, and select the time interval corresponding to the largest difference value; S33. If the conditions in S31 and S32 are not satisfied, then judge whether the balance trend AH+1 within the planned network connection time interval is lower than or equal to the maximum connectable number Enabled_High. If it is satisfied, select this time interval; S34. If the condition in S33 is not satisfied, that is, the balance trend AH+1 within the planned network connection time interval is higher than the maximum connectable number Enabled_High, then check the difference between the balance trends AH+1 in other time intervals that are lower than or equal to the maximum connectable number Enabled_High, and select the time interval corresponding to the largest difference value; S35. If the conditions in S31, S32, S33, and S34 are not satisfied, at this time the connection number trend has exceeded the maximum load value of the core network or the platform, it is recommended to increase the number of base stations or platform servers, and reset the maximum connectable number Enabled_High before receiving the terminal network connection again; Among them, the future trend connection number for the interval includes the balance connection number B, the peak trend TH, and the balance trend AH; The best balance connection number B = (Peak connection number High * Trend parameter 1 + Average connection number Avg * Trend parameter 2 + Minimum connection number Low * Trend parameter 3 + Average connection number Avg * Trend parameter 4) / (Trend parameter 1 + Trend parameter 2 + Trend parameter 3 + Trend parameter 4); The balance trend AH = Best balance connection number B + (Best balance connection number B - Minimum connection number Low); Peak trend TH = Optimal balance connection number B + (Peak connection number High - Lowest connection number Low).

2. The method for terminal intelligent peak shifting as claimed in claim 1, wherein The S2 further includes: S21. Match the corresponding nearby base station or platform information according to the cell identifier CELLID, and obtain the maximum connectable number Enabled_High on the base station or platform and the connection number data within each time interval; S22. The platform obtains the peak connection number High, the lowest connection number Low, and the average connection number Avg of each time interval by statistically processing the connection number data within each time interval, and forms the historical trend metadata of each time interval. The historical trend metadata includes the time interval serial number, the peak connection number, the lowest connection number, and the average connection number. The time interval serial number refers to dividing each day into 1 - 24 serial numbers by hour.

3. A system for intelligent peak shifting of a terminal, applicable to the method for intelligent peak shifting of a terminal described in any one of claims 1-2, characterized in that, It includes: Terminal information collection and reporting module (1), which includes terminal networking, collecting and reporting terminal triple identification information. The triple identification information includes terminal identifier ID, cell identifier CELLID, and planned networking time interval; Platform data receiving, data obtaining, and statistical processing module (2), which is used to receive the information reported by the terminal information collection and reporting module (1), match the corresponding nearby base station or platform information according to the cell identifier CELLID, obtain the maximum connectable number Enabled_High on the base station or platform and the connection number data within each time interval, and obtain the peak connection number High, the lowest connection number Low, and the average connection number Avg of each time interval by statistically processing the connection number data within each time interval, and form the historical trend metadata of each time interval; Platform intelligent calculation module (3), which is used to receive the historical trend metadata transmitted by the platform data receiving, data obtaining, and statistical processing module (2), calculate the future trend connection number of the interval according to the historical trend metadata and the set trend parameter value, and intelligently select the optimal connection interval to obtain the optimal off-peak time interval data; Platform distribution module (4), which is used to distribute the optimal off-peak time interval data calculated by the platform intelligent calculation module (3) to the terminal; Terminal data receiving and persistent processing module (5), which is used to receive the optimal off-peak time interval data distributed by the platform distribution module (4), update and persist the local off-peak time list at the same time, and connect to the core network or platform using the latest off-peak interval list; The optimal connection interval is selected according to the future trend connection number. The selection process includes the following steps: S31. If the peak trend TH + 1 within the planned networking time interval is lower than or equal to the maximum connectable number Enabled_High, directly select this time interval; S32. If the condition of S31 is not met, that is, the peak trend TH + 1 within the planned networking time interval is higher than the maximum connectable number Enabled_High, then check the difference between the peak trends TH + 1 of other time intervals that are lower than or equal to the maximum connectable number Enabled_High, and select the time interval corresponding to the largest difference value; S33. If the conditions of both S31 and S32 are not satisfied, then determine whether the balance trend AH+1 within the planned network connection time interval is lower than or equal to the maximum connectable number Enabled_High. If it is satisfied, select this time interval; S34. If the condition of S33 is not satisfied, that is, the balance trend AH+1 within the planned network connection time interval is higher than the maximum connectable number Enabled_High, then check the difference value where the balance trend AH+1 in other time intervals is lower than or equal to the maximum connectable number Enabled_High, and select the time interval corresponding to the largest difference value; S35. If the conditions of S31, S32, S33, and S34 are all not satisfied, at this time the connection number trend has exceeded the maximum value of the core network or platform load. It is recommended to increase the number of base stations or platform servers, and reset the maximum connectable number Enabled_High before receiving terminal network connections again; Among them, the future trend connection number of the interval includes the balanced connection number B, the peak trend TH, and the balance trend AH; The optimal balanced connection number B = (Peak connection number High * Trend parameter 1 + Average connection number Avg * Trend parameter 2 + Minimum connection number Low * Trend parameter 3 + Average connection number Avg * Trend parameter 4) / (Trend parameter 1 + Trend parameter 2 + Trend parameter 3 + Trend parameter 4); The balance trend AH = Optimal balanced connection number B + (Optimal balanced connection number B - Minimum connection number Low); The peak trend TH = Optimal balanced connection number B + (Peak connection number High - Minimum connection number Low).

4. The system for intelligent peak shifting of a terminal according to claim 3, wherein, The terminal identification ID includes terminal product model / manufacturer identification information.

5. The system for intelligent peak shifting of the terminal according to claim 3, characterized in that, The historical trend metadata includes the time interval serial number, peak connection number, minimum connection number, and average connection number. The time interval serial number refers to dividing each day into 1-24 serial numbers by hour.

6. The system for intelligent peak shifting of a terminal according to claim 3, wherein, The optimal off-peak time interval data includes the terminal identification ID, cell identification CELLID, and connection time serial number.

7. A computer-readable storage medium, characterized in that, It stores a computer program, and when the computer program is executed by a processor, the processor is caused to execute the steps of the method for terminal intelligent off-peak as described in any one of claims 1-2.

8. A computer device, characterized in that, It includes a memory and a processor. The memory stores a computer program, and when the computer program is executed by the processor, the processor is caused to execute the steps of the method for terminal intelligent off-peak as described in any one of claims 1-2.

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