Terminal intelligent peak shifting system and method, storage medium and computer equipment

Abstract

The invention discloses a terminal intelligent peak shifting system and method, a storage medium and computer equipment, and the method comprises the steps: S1, enabling a terminal to be networked, and collecting and reporting terminal triple identification information; s2, receiving the reported triple identification information by the platform receiving terminal, and performing statistics to obtain historical trend metadata of each time interval; s3, calculating an interval future trend connection number based on historical trend metadata and a set trend parameter value, and intelligently selecting an optimal connection interval; s4, the platform issues the optimal peak shifting time interval data obtained through calculation to the terminal; and S5, the terminal receives the optimal peak shifting time interval data of the terminal issued by the platform, updates and persists the local peak shifting time list at the same time, and connects the core network or the platform by using the latest peak shifting interval list. According to the invention, the networking opportunity of the terminal is optimized, invalid connections and messages are reduced, the dial test performance and accuracy are improved, and the effect of effectively reducing the power consumption of the terminal is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of terminals and wireless communication, and in particular to a system, method, storage medium and computer equipment for intelligent peak shifting of terminals. Background Art

[0002] When IoT terminals process services in wireless communication networks, they often find that they cannot connect to the network to send and receive data because the number of core network or platform connections has reached a peak. At this time, it is necessary to expand the core network or platform or perform peak-shifting management and control on the terminals. Terminal peak shifting is an important means to ensure the normal operation of terminals and networks. The terminal peak shifting in traditional methods is achieved through autonomous peak shifting of terminals or simple random peak shifting by individual equipment manufacturers. This is not only inefficient, but also fails to achieve the goal of truly peak shifting for the core network and platform as a whole. Summary of the invention

[0003] The present invention provides a system, method and computer device for intelligent peak shifting of terminals that effectively improve the accuracy and efficiency of terminal connection to the network, which can solve at least one of the above-mentioned technical problems.

[0004] In order to solve the above technical problems, the present invention adopts the following technical solutions:

[0005] A terminal intelligent peak shifting system, comprising:

[0006] The terminal information collection and reporting module includes terminal networking, collecting and reporting terminal triplet identification information, the triplet identification information includes the terminal identification ID, the cell identification CELLID and the planned networking time interval;

[0007] The platform data receiving, data acquisition and statistical processing module is used to receive the information reported by the terminal information collection and reporting module, and match the corresponding base station or platform information nearby according to the cell identifier CELLID, obtain the highest number of connections Enabled_High on the base station or platform and the number of connections in each time interval, and obtain the peak number of connections High, the lowest number of connections Low and the average number of connections Avg in each time interval by counting the number of connections in each time interval, so as to form the historical trend metadata of each time interval;

[0008] The platform intelligent calculation module is used to receive the historical trend metadata transmitted by the platform data receiving, data acquisition and statistical processing modules, and calculate the number of future trend connections 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 time interval data;

[0009] The platform sending module is used to send the optimal 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 issued by the platform sending module, 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.

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

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

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

[0014] 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);

[0015] Balance trend AH = best balance connection number B + (best balance connection number B - lowest connection number Low);

[0016] Peak trend TH = optimal balanced connection number B + (peak connection number High - minimum connection number Low).

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

[0018] A method for intelligent peak shifting of terminals is implemented by using the system for intelligent peak shifting of terminals, comprising the following steps:

[0019] S1. The terminal is connected to the network, and the terminal triplet identification information is collected and reported. The triplet identification information includes the terminal identification ID, the cell identification CELLID and the planned network connection time interval;

[0020] S2. The platform receiving terminal receives the reported triplet identification information, matches it to the corresponding nearby base station or platform information, and obtains the historical trend metadata of each time interval by statistics;

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

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

[0023] S5. The terminal receives the optimal off-peak time interval data for the terminal issued by the platform, 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.

[0024] Furthermore, the S2 further comprises:

[0025] S21. Match the corresponding base station or platform information nearby according to the cell identifier CELLID, and obtain the highest number of connections Enabled_High on the base station or platform and the number of connections 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 of each time interval by counting the number of connections 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 sequence numbers by hour.

[0027] Furthermore, in S3, the best connection interval is selected according to the number of future trend connections, 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 number of connections Enabled_High, then this time interval is directly selected;

[0029] S32. If the condition of S31 is not met, 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 trend TH+1 in other time intervals that is lower than or equal to the maximum connectable number Enabled_High, and select the time interval corresponding to the maximum difference value;

[0030] S33, if the conditions of S31 and S32 are not met, then determine whether the balance trend AH+1 in the planned networking time interval is lower than or equal to the maximum number of connections Enabled_High, if so, select this time interval;

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

[0032] S35. If the conditions of S31, S32, S33 and S34 are not met, the trend of the number of connections 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 number of connections Enabled_High before receiving the terminal connection;

[0033] Among them, the interval future trend connection number includes the balance connection number B, the peak trend TH and the balance 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] Balance trend AH = best balance connection number B + (best balance connection number B - lowest connection number Low);

[0036] 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, and when the computer program is executed by a processor, the processor executes the steps of the above-mentioned terminal intelligent peak shifting method.

[0038] A computer device includes a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the above-mentioned terminal intelligent peak shifting method.

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

[0040] 1. Propose a clear implementation process and calculation method, and improve the original terminal autonomous networking and random peak-shifting practices to a platform-based approach that matches statistical trend metadata based on the terminal triplet identification information, intelligently calculates the trend connection data of each time interval and intelligently selects the best connection time interval, which optimizes the terminal networking timing, reduces invalid connections and messages, greatly improves the dialing performance and accuracy, and can effectively reduce the power consumption of the terminal.

[0041] 2. The platform intelligently calculates trend data and selects the best time interval algorithm. The method process of using the intelligent trend calculation algorithm to predict and select the best off-peak time interval greatly improves the terminal connection accuracy and message sending and receiving efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The drawings described herein are used to provide further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute improper limitations on the present application.

[0043] Figure 1 It is a system structure block diagram of terminal intelligent peak shifting according to an embodiment of the present invention.

[0044] Figure 2 It is a flow chart of a method for intelligent peak shifting of terminals according to an embodiment of the present invention.

[0045] Figure 3 It is a structural block diagram of a computer device according to an embodiment of the present invention.

[0046] The components in the attached figure are marked as: 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 persistence processing module. DETAILED DESCRIPTION

[0047] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. In the absence of conflict, the embodiments in this application and the features in the embodiments can be combined with each other. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0048] It should be noted that the meaning of "and / or" appearing in the full text includes three parallel solutions. Taking "A and / or B" as an example, it includes solution A, solution B, or solutions that satisfy both A and B. In addition, "multiple" means more than two. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in this field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0049] See also Figure 1 The embodiment of the present invention provides a system for intelligent peak shifting of terminals, including:

[0050] Terminal information collection and reporting module 1, including terminal networking, collecting and reporting terminal triplet identification information, the triplet identification information includes terminal identification ID, cell identification CELLID and 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, and match the corresponding base station or platform information nearby according to the cell identifier CELLID, obtain the maximum number of connections Enabled_High on the base station or platform and the number of connections in each time interval, and obtain the peak number of connections High, the minimum number of connections Low and the average number of connections Avg in each time interval by counting the number of connections in each time interval, so as to form the historical trend metadata of each time interval;

[0052] The platform intelligent calculation module 3 is used to receive the historical trend metadata transmitted by the platform data receiving, data acquisition and statistical processing module 2, and calculate the number of future trend connections 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 staggered time interval data;

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

[0054] The terminal data receiving and persistence processing module 5 is used to receive the optimal off-peak time interval data issued 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, IoT terminals can optimize terminal connection strategies based on this patent, improve the overall terminal connection success rate and reduce terminal power consumption costs. The network core network or platform can intelligently calculate the terminal connection time interval allocation, improve the core network or platform performance and work efficiency, and reduce operation and maintenance costs.

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

[0057] In this embodiment, the historical trend metadata includes a time interval sequence number, a peak number of connections, a minimum number of connections, and an average number of connections. The time interval sequence number refers to dividing each day into 1-24 sequence numbers by hour.

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

[0059] 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);

[0060] Balance trend AH = best balance connection number B + (best balance connection number B - lowest connection number Low);

[0061] Peak trend TH = optimal balanced connection number B + (peak connection number High - minimum connection number Low).

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

[0063] See also Figure 2 The embodiment of the present invention further provides a method for intelligent peak shifting of terminals, which is implemented by the system for intelligent peak shifting of terminals, and includes the following steps:

[0064] S1. The terminal is connected to the network, and the terminal triplet identification information is collected and reported. The triplet identification information includes the terminal identification ID, the cell identification CELLID and the planned network connection time interval;

[0065] S2. The platform receiving terminal receives the reported triplet identification information, matches it to the corresponding nearby base station or platform information, and obtains the historical trend metadata of each time interval by statistics;

[0066] S3. Calculate the number of future trend connections in the interval based on historical trend metadata and set trend parameter values, and intelligently select the best connection interval to obtain the best peak-shifting time interval data;

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

[0068] S5. The terminal receives the optimal off-peak time interval data for the terminal issued by the platform, 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] At present, the commonly used terminal peak-shifting methods are autonomous terminal networking, non-peak or random peak-shifting networking. Autonomous networking is nothing more than estimating the load pressure of the core network or platform side, resulting in frequent network failures or reduced success rate and performance of sending messages during peak hours. Random peak-shifting networking only randomly reduces the probability of peak-shifting, but cannot flexibly and accurately shift the peak according to the scheduled load of the core network and server. It is not accurate and difficult to predict the load trend.

[0070] In the staggered peak method of the present invention, it is proposed that the platform matches the statistical trend metadata according to the terminal triplet identification information, intelligently calculates the trend connection data of each time interval, and then intelligently selects the best connection time interval, generates the best staggered peak time interval data and sends it to the terminal, so that the terminal can optimize the terminal connection time, reduce invalid connections and messages, greatly improve the dialing performance and accuracy, and effectively reduce the terminal power consumption.

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

[0072] S21. Match the corresponding base station or platform information nearby according to the cell identifier CELLID, and obtain the highest number of connections Enabled_High on the base station or platform and the number of connections in each time interval;

[0073] S22. The platform obtains the peak connection number High, the minimum connection number Low and the average connection number Avg of each time interval by counting the number of connections 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 sequence numbers by hour.

[0074] In this embodiment, in S3, the best connection interval is selected according to the number of future trend connections, and the selection process includes the following steps:

[0075] S31. If the peak trend TH+1 in the planned networking time interval is lower than or equal to the maximum number of connections Enabled_High, then this time interval is directly selected;

[0076] S32. If the condition of S31 is not met, 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 trend TH+1 in other time intervals that is lower than or equal to the maximum connectable number Enabled_High, and select the time interval corresponding to the maximum difference value;

[0077] S33, if the conditions of S31 and S32 are not met, then determine whether the balance trend AH+1 in the planned networking time interval is lower than or equal to the maximum number of connections Enabled_High, if so, select this time interval;

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

[0079] S35. If the conditions of S31, S32, S33 and S34 are not met, the trend of the number of connections 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 number of connections Enabled_High before receiving the terminal connection;

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

[0081] 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);

[0082] Balance trend AH = best balance connection number B + (best balance connection number B - lowest connection number Low);

[0083] Peak trend TH = optimal balanced connection number B + (peak connection number High - minimum connection number Low).

[0084] The following are some examples:

[0085] Each day is divided into 24 time intervals by hour, represented by 1-24. If the highest number of connections in the first time interval is 300, the lowest is 100, and the average is 280, and the trend parameters are all set to 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] Balance trend AH = 220 + (220-100) = 340;

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

[0089] An embodiment of the present invention further provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the processor executes the steps of the above-mentioned terminal intelligent peak shifting method.

[0090] See also Figure 3 An embodiment of the present invention further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the above-mentioned terminal intelligent peak shifting method.

[0091] An embodiment of the present invention also provides a computer program product comprising instructions, which, when executed on a computer, enables the computer to execute the steps of the above-mentioned terminal intelligent peak shifting method.

[0092] It is understandable that the system, device and storage medium provided in the embodiments of the present invention correspond to the method provided in the embodiments of the present invention, and the explanation, examples and beneficial effects of the relevant contents can refer to the corresponding parts of the above-mentioned terminal intelligent peak shifting method.

[0093] It should be noted that those skilled 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 by 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, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. 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 site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a DVD), or a semiconductor medium (eg, a solid state disk (SSD)).

[0094] In summary, the present invention reports the terminal triplet identification information to the cloud platform through the terminal, then matches the statistical historical trend metadata on the platform, and calculates the future trend connection data of each time interval, and then intelligently selects the best connection time interval, and then generates the best off-peak time interval data and sends it to the terminal. The terminal receives the intelligent off-peak time data sent by the platform and updates and uses it after persistence, thereby achieving flexible and intelligent off-peak networking, optimizing the terminal networking timing, reducing invalid connections and messages, effectively reducing terminal power consumption, and improving terminal equipment performance and core network or platform operation and maintenance efficiency and accuracy.

[0095] It should be understood that the examples and implementation modes described herein are for illustrative purposes only and are not intended to limit the present invention. Those skilled in the art may make various modifications or changes based on the examples and implementation modes. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A terminal intelligent peak shifting system, characterized in that: include: The terminal information collection and reporting module (1) includes connecting the terminal to the network, collecting and reporting the terminal triplet identification information, the triplet identification information includes the terminal identification ID, the cell identification CELLID and the planned network connection time interval; 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), and match the corresponding base station or platform information nearby according to the cell identifier CELLID, obtain the maximum number of connections Enabled_High on the base station or platform and the number of connections in each time interval, and obtain the peak number of connections High, the minimum number of connections Low and the average number of connections Avg in each time interval by counting the number of connections in each time interval, so as to form the historical trend metadata of each time interval; The platform intelligent calculation 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 number of future trend connections 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 time interval data; A platform sending module (4) is used to send the optimal peak-shifting time interval data calculated by the platform intelligent calculation module (3) to the terminal; The terminal data receiving and persistence 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.

2. The terminal intelligent peak shifting system according to claim 1, characterized in that: The terminal identification ID includes the terminal product model / manufacturer identification information.

3. The terminal intelligent peak shifting system according to claim 1, characterized in that: The historical trend metadata includes the time interval sequence number, peak number of connections, minimum number of connections, and average number of connections. The time interval sequence number refers to the sequence number of 1 to 24 divided by hours per day.

4. The terminal intelligent peak shifting system according to claim 1, characterized in that: The interval future trend connection number includes the balance connection number B, peak trend TH and 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); Balance trend AH = best balance connection number B + (best balance connection number B - lowest connection number Low); Peak trend TH = optimal balanced connection number B + (peak connection number High - minimum connection number Low).

5. The terminal intelligent peak shifting system according to claim 1, characterized in that: The optimal off-peak time interval data includes the terminal identification ID, the cell identification CELLID and the connection time sequence number.

6. A method for intelligent peak shifting of terminals, implemented by the system for intelligent peak shifting of terminals as claimed in any one of claims 1 to 5, characterized in that: The following steps are involved: S1. Connect the terminal to the network, collect and report the terminal triplet identification information, where the triplet identification information includes the terminal identification ID, the cell identification CELLID and the planned network connection time interval; S2. The platform receiving terminal receives the reported triplet identification information, matches it to the corresponding base station or platform information nearby, and obtains the historical trend metadata of each time interval by statistics; S3. Calculate the number of future trend connections in the interval based on historical trend metadata and set trend parameter values, and intelligently select the best connection interval to obtain the best peak-shifting time interval data; S4. The platform sends the calculated optimal off-peak time interval data to the terminal, where the optimal off-peak time interval data includes the terminal ID, the cell ID CELLID and the connection time sequence number; S5. The terminal receives the optimal off-peak time interval data of the terminal issued by the platform, 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.

7. The method for intelligent peak shifting of terminals according to claim 6, characterized in that: The S2 further comprises: S21. Match the corresponding base station or platform information nearby according to the cell identifier CELLID, and obtain the highest number of connections Enabled_High on the base station or platform and the number of connections in each time interval; S22. The platform obtains the peak connection number High, the minimum connection number Low and the average connection number Avg of each time interval by counting the number of connections 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 sequence numbers by hour.

8. The method for intelligent peak shifting of terminals according to claim 6, characterized in that: In S3, the best connection interval is selected according to the number of future trend connections, and the selection process includes the following steps: 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, then this time interval is directly selected; S32. If the condition of S31 is not met, 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 trend TH+1 in other time intervals that is lower than or equal to the maximum connectable number Enabled_High, and select the time interval corresponding to the maximum difference value; S33, if the conditions of S31 and S32 are not met, then determine whether the balance trend AH+1 in the planned networking time interval is lower than or equal to the maximum number of connections Enabled_High, if so, select this time interval; S34. If the condition of S33 is not met, that is, the balance trend AH+1 in the planned networking time interval is higher than the maximum connectable number Enabled_High, check the difference between the balance trend AH+1 in other time intervals that is lower than or equal to the maximum connectable number Enabled_High, and select the time interval corresponding to the maximum difference value; S35. If the conditions of S31, S32, S33 and S34 are not met, the trend of the number of connections 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 number of connections Enabled_High before receiving the terminal connection; Among them, the interval future trend connection number includes the balance 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); Balance trend AH = best balance connection number B + (best balance connection number B - lowest connection number Low); Peak trend TH = optimal balanced connection number B + (peak connection number High - minimum connection number Low).

9. A computer-readable storage medium, characterized in that: A computer program is stored, and when the computer program is executed by a processor, the processor executes the steps of the terminal intelligent peak shifting method as described in any one of claims 6 to 8.

10. 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 executes the steps of the terminal intelligent peak shifting method as described in any one of claims 6 to 8.

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