Tablet computer control method and device

Abstract

The invention provides a tablet computer control method and device, which are suitable for the technical field of data processing, and the method comprises the following steps: obtaining tablet computer communication time period demand information according to tablet computer communication time information, tablet computer communication time interval and tablet computer communication demand information; according to the tablet computer communication time period demand feature extraction vector and tablet computer communication time period demand information, obtaining tablet computer communication time period demand feature information; generating target tablet computer access network slice information according to the tablet computer communication period demand feature information, the access network resource information, the access network communication quality information and the tablet computer access network slice number information; and according to the target tablet computer access network slice information, performing transmission processing on the tablet computer control instruction information so as to control the tablet computer through the tablet computer control instruction information. The communication requirements of the tablet personal computer in different time periods are accurately met, and the high efficiency and stability of control instruction transmission are ensured.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of data processing, and particularly relates to a tablet computer control method and device. BACKGROUND

[0002] With the maturity of 5G network technology and the popularity of mobile terminals such as tablet computers, diversified communication demands such as enhanced mobile broadband, ultra-high reliability and ultra-low latency communication are increasing, and the traditional "one-size-fits-all" network architecture has been difficult to meet the differentiated service requirements. As a key technology of 5G, network slicing divides the physical network into multiple logically independent virtual subnets, realizes the flexible deployment of "one physical network, multiple virtual networks", and becomes a key solution to adapt to different terminal communication demands.

[0003] In the prior art, slice resources are usually allocated according to application categories or data network names, and access network slices realize resource isolation through frequency domain isolation, time domain isolation and other technologies.

[0004] However, the prior art is difficult to dynamically adjust the number of access network slices and resource quotas, so that the access network resource allocation cannot match the actual communication demands of tablet computers or other terminals, and there are problems of low resource utilization or interference between slices. SUMMARY

[0005] Therefore, the embodiments of the present application provide a tablet computer control method and device, aiming to solve the problems of insufficient adaptation of slice generation to the communication demands of tablet computers, lack of pertinence of access network resource configuration, and insufficient matching degree of resource utilization and communication quality in the prior art.

[0006] A first aspect of the embodiments of the present application provides a tablet computer control method, comprising:

[0007] obtaining a plurality of tablet computer communication demand information, a plurality of tablet computer communication time information, a plurality of tablet computer control instruction information, access network resource information and access network communication quality information; the tablet computer communication demand information and the tablet computer communication time information correspond one-to-one;

[0008] According to the plurality of tablet computer communication time information and a preset tablet computer communication time interval, the plurality of tablet computer communication demand information is cut to obtain a plurality of tablet computer communication period demand information;

[0009] Based on a plurality of preset tablet computer communication period demand feature extraction vectors, the plurality of tablet computer communication period demand information is subjected to feature extraction processing to obtain a plurality of tablet computer communication period demand feature information;

[0010] Based on a preset tablet PC access network slice generation model, multiple target tablet PC access network slice information is generated according to the communication time period demand characteristics of the multiple tablet PCs, access network resource information, access network communication quality information, and preset tablet PC access network slice quantity information.

[0011] Based on the network slice information of the multiple target tablet computers, the control command information of the multiple tablet computers is transmitted and processed to control the tablet computers through the multiple tablet computer control command information.

[0012] A second aspect of this application provides a tablet computer control device, including:

[0013] The information acquisition module is used to acquire communication requirement information of multiple tablet computers, communication time information of multiple tablet computers, control command information of multiple tablet computers, access network resource information, and access network communication quality information; the tablet computer communication requirement information and the tablet computer communication time information correspond one-to-one.

[0014] The tablet computer communication time period demand information generation module is used to segment the multiple tablet computer communication demand information according to the multiple tablet computer communication time information and the preset tablet computer communication time interval to obtain multiple tablet computer communication time period demand information.

[0015] The tablet computer communication time period demand feature information generation module is used to perform feature extraction processing on the multiple tablet computer communication time period demand information based on multiple preset tablet computer communication time period demand feature extraction vectors to obtain multiple tablet computer communication time period demand feature information.

[0016] The target tablet access network slice information generation module is used to generate multiple target tablet access network slice information based on a preset tablet access network slice generation model, according to the multiple tablet communication time period demand characteristic information, access network resource information, access network communication quality information, and preset tablet access network slice quantity information.

[0017] The tablet computer control command information transmission module is used to process and transmit multiple tablet computer control command information according to the multiple target tablet computer access network slice information, so as to control the tablet computer through the multiple tablet computer control command information.

[0018] A third aspect of this application provides a terminal device, the terminal device including a memory and a processor, the memory storing a computer program executable on the processor, the processor executing the computer program to implement the steps of the tablet computer control method described in the first aspect above.

[0019] A fourth aspect of this application provides a computer-readable storage medium, comprising: storing a computer program, which, when executed by a processor, implements the steps of the tablet computer control method described in the first aspect above.

[0020] Compared with the prior art, the beneficial effects of this application are as follows: This application accurately adapts to the communication needs of multiple tablet computers at different times. By reasonably dividing the access network slice, it ensures the efficiency and stability of control command transmission, thereby improving the utilization rate of access network resources, ensuring the timeliness and accuracy of control command transmission, improving the communication quality and operating performance of multiple tablet computers, and enabling tablet computers to obtain appropriate network support in diverse communication scenarios to achieve precise control, thereby optimizing the user experience. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This is a schematic diagram illustrating the implementation flow of the tablet computer control method provided in Embodiment 1 of this application;

[0023] Figure 2 This is a schematic diagram illustrating the implementation flow of the tablet computer control method provided in Embodiment 2 of this application;

[0024] Figure 3 This is a schematic diagram illustrating the implementation flow of the tablet computer control method provided in Embodiment 3 of this application;

[0025] Figure 4 This is a schematic diagram illustrating the implementation flow of the tablet computer control method provided in Embodiment 4 of this application;

[0026] Figure 5 This is a schematic diagram illustrating the implementation flow of the tablet computer control method provided in Embodiment 5 of this application;

[0027] Figure 6 This is a schematic diagram illustrating the implementation flow of the tablet computer control method provided in Embodiment Six of this application;

[0028] Figure 7 This is a schematic diagram of the structure of the tablet computer control device provided in the embodiments of this application;

[0029] Figure 8 This is a schematic diagram of the terminal device provided in the embodiments of this application. Detailed Implementation

[0030] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0031] To illustrate the technical solution described in this application, specific embodiments are provided below.

[0032] Figure 1 A flowchart illustrating the implementation of the tablet computer control method provided in Embodiment 1 of this application is shown, and is described in detail below:

[0033] Step S101: Obtain communication requirement information, communication time information, control command information, access network resource information, and access network communication quality information of multiple tablet computers; the communication requirement information of the tablet computers corresponds one-to-one with the communication time information of the tablet computers.

[0034] In this embodiment, the tablet computer's communication requirement information refers to a set of specific parameters related to the communication service, such as bandwidth requirements, latency requirements, reliability indicators, and service type identifiers generated by each tablet computer during communication. This can be obtained in real time by collecting the transmission data of the currently running service through the tablet computer's built-in communication module. The tablet computer's communication time information refers to the specific timestamps and time spans for each tablet computer to initiate, continue, and end communication. This can be recorded in real time by synchronizing network time through the tablet computer's system clock module. The tablet computer's control command information refers to a set of command data used to regulate the tablet computer's functions. This can include command codes corresponding to operations such as device start / stop, parameter configuration, and service switching. This can be obtained by receiving user operation commands through the tablet computer's input device or by having the associated control terminal transmit them to the tablet computer via the network. The access network resource information refers to quantitative data of various resources in the access network that can support tablet computer communication. This can include total available spectrum bandwidth, base station computing power, link transmission capacity, and allocated resource occupancy status. This can be obtained in real time through the interaction interface between the access network controller and the base station and core network equipment. Access network communication quality information refers to quantitative indicators that reflect the communication status of the access network, including signal strength, signal-to-noise ratio, packet loss rate, and transmission error rate. It can be obtained by monitoring the link transmission status in real time through monitoring nodes in the access network and by summarizing the communication quality perception data fed back by the tablet computer.

[0035] In this embodiment, the tablet computer communication requirement information may include tablet computer communication bandwidth requirement information, tablet computer communication latency requirement information, tablet computer communication bit error rate requirement information, and tablet computer communication interruption probability requirement information; wherein, the tablet computer communication bandwidth requirement information, tablet computer communication latency requirement information, tablet computer communication bit error rate requirement information, and tablet computer communication interruption probability requirement information correspond one-to-one with the tablet computer communication time information. Among these, the tablet's communication bandwidth requirement information refers to the minimum data transmission rate required by the tablet to ensure normal operation of services during communication. This can be obtained by real-time statistics of the data stream size and transmission rate requirements of the currently running services through the tablet's built-in service monitoring module. The tablet's communication latency requirement information refers to the maximum allowable latency time during data transmission. This can be determined by recording historical service transmission latency data through the tablet's communication protocol stack and based on the real-time requirements of the current service. The tablet's communication bit error rate requirement information refers to the maximum ratio of the number of erroneous bits allowed to the total number of bits when the tablet receives data. This can be determined based on the fault tolerance capability of the services running on the tablet, combined with the bit error rate specifications corresponding to different services in industry standards. The tablet's communication interruption probability requirement information refers to the maximum probability that the communication connection of the tablet will be unexpectedly disconnected within a specified time. This can be determined by statistically analyzing the frequency and duration of historical communication interruptions through the tablet's connection management module and based on the service's requirements for connection stability.

[0036] In this embodiment, the access network resource information may include tablet computer access spectrum information, tablet computer access base station computing power information, and tablet computer access transmission capacity information; the access network communication quality information may include tablet computer access signal strength information, tablet computer access latency information, tablet computer access bit error rate information, tablet computer access duration information, and tablet computer concurrent access quantity information. Among these, the tablet's access spectrum information refers to the spectrum bands that the tablet can access and use. This can be checked through the tablet's built-in detection function in the device's network settings or system information to see the supported frequency bands. The tablet's access base station computing power information refers to the computing resource information that the tablet can obtain from the connected base station when accessing the network. This reflects how much computing power the base station can provide to the tablet. For example, when performing tasks requiring large amounts of data processing, such as playing high-definition videos online or running large games, the strength of the base station's computing power support will affect the smoothness of the performance. This information can be obtained through the interaction between the computing power service authentication node and the node to be accessed. The tablet can act as the node to be accessed, sending an access request to the computing power service authentication node. The authentication node verifies the tablet's identity and capabilities. During the verification process, it detects the actual computing power that the base station can provide to the tablet and returns the relevant computing power service credentials to the tablet, thus achieving the acquisition. The tablet's access transmission capacity information refers to the information that the tablet can obtain when connecting to the network. When connecting to the network, information about the network's data transmission capabilities, such as the number of megabytes per second that can be transmitted, can be obtained from the theoretical transmission capacity of the network device parameters. Network devices have nominal transmission capacity parameters when deployed. Alternatively, this information can be obtained by using network testing tools to conduct actual tests after the tablet connects to the network. The tablet's signal strength information refers to the strength of the network signal received when the tablet connects to the network. Signal strength determines the stability and speed of data transmission; higher strength means more stable transmission and potentially faster speed, while lower strength may lead to network instability, slow speed, or even network outages. The signal strength can be accurately obtained using a network signal detection app. The tablet's connection latency information refers to the delay time during network connection and data transmission. This can be measured using the ping command. By entering the ping command followed by the target server's address in the tablet's command line or terminal, the round-trip time of data packets can be obtained, thus measuring the connection latency.Tablet computer access error rate information refers to the probability of errors occurring during data transmission on a tablet computer. A high error rate can lead to data loss, file corruption, and video / audio playback stuttering. This can be calculated by running network testing software to count the number of error symbols, or by utilizing the monitoring functions of network devices such as routers and base stations, which record error rates during communication with tablet computers. The error rate information can be obtained by viewing the management interface or log files of these devices. Tablet computer access duration information refers to the length of time a tablet computer maintains a network connection after successfully connecting. This can be found in the tablet computer's system logs, which record various connection events, including the time of network access and disconnection. The duration can be calculated by the difference between these two times. Alternatively, it can be obtained through a network management platform. The number of concurrent tablet computer connections refers to the number of tablet computers that can simultaneously connect to the same network within the same time period. This information can be obtained from the management interfaces of network devices such as routers and switches.

[0037] Step S102: Based on the communication time information of the multiple tablet computers and the preset communication time interval of the tablet computers, the communication demand information of the multiple tablet computers is segmented to obtain the communication time period demand information of the multiple tablet computers.

[0038] In this embodiment, the preset tablet computer communication time interval can be manually set. Using the preset tablet computer communication time interval as a dividing standard, the complete communication time period corresponding to multiple tablet computer communication time information can be evenly divided into several continuous and non-overlapping sub-time periods. Then, according to the time range corresponding to each sub-time period, tablet computer communication demand information that completely matches the time range is filtered from multiple tablet computer communication demand information. The filtered tablet computer communication demand information is then categorized and organized to ensure that each sub-time period corresponds to a unique set of tablet computer communication demand information. Finally, each sub-time period is associated and bound with its corresponding tablet computer communication demand information to obtain multiple tablet computer communication time period demand information.

[0039] In this embodiment, the tablet computer's communication time period requirement information may include the tablet computer's communication time period bandwidth requirement information, tablet computer's communication time period latency requirement information, tablet computer's communication time period bit error rate requirement information, and tablet computer's communication time period interruption probability requirement information. Specifically, the tablet computer's communication time period bandwidth requirement information refers to the amount of data that the tablet computer needs to transmit per unit time to ensure the normal operation of various applications and functions within a specific communication time period; the tablet computer's communication time period latency requirement information refers to the time delay experienced by data transmission from the tablet computer's sending end to the receiving end within a specific communication time period; the tablet computer's communication time period bit error rate requirement information refers to the proportion of incorrectly transmitted bits to the total number of transmitted bits during data transmission within a specific communication time period; and the tablet computer's communication time period interruption probability requirement information refers to the probability that the tablet computer's communication link will fail to transmit data normally and the communication connection will be interrupted within a specific communication time period due to various factors such as signal interference, channel fading, and hardware failure.

[0040] Step S103: Based on multiple preset tablet computer communication time period demand feature extraction vectors, perform feature extraction processing on the multiple tablet computer communication time period demand information to obtain multiple tablet computer communication time period demand feature information.

[0041] In this embodiment, the multiple preset tablet computer communication time period demand feature extraction vectors can all be manually set. First, the communication time period demand information for each tablet computer can be standardized and converted according to a preset data format to ensure that the data format matches the dimensions of the multiple preset tablet computer communication time period demand feature extraction vectors. Then, each standardized tablet computer communication time period demand information is multiplied element-wise with the multiple preset tablet computer communication time period demand feature extraction vectors to obtain the initial feature values ​​of the corresponding time period demand information in each feature dimension. Subsequently, all initial feature values ​​are normalized to map the values ​​to a unified interval. Finally, the normalization results of each tablet computer communication time period demand information in all feature dimensions are summarized to obtain multiple tablet computer communication time period demand feature information.

[0042] Step S104: Based on the preset tablet PC access network slice generation model, generate multiple target tablet PC access network slice information according to the multiple tablet PC communication time period demand characteristic information, access network resource information, access network communication quality information, and preset tablet PC access network slice quantity information.

[0043] In this embodiment, the preset tablet PC access network slice generation model can be manually set or a trained greedy Gaussian model. The preset number of tablet PC access network slices can also be manually set. First, multiple tablet PC communication time-period demand characteristics, access network resource information, and access network communication quality information can be fused to ensure that all information formats are consistent and adaptable to the input requirements of the greedy Gaussian model. Then, the preset tablet PC access network slice generation model is used to perform cluster analysis on the fused information, dividing it into resource groups that match the tablet PC communication time-period demands. Next, combined with the preset number of tablet PC access network slices, the clustered resource groups are allocated to each slice to be generated. Then, the resource allocation ratio of each slice is adjusted according to the access network communication quality information to ensure that the communication quality of each slice meets the standards. Finally, the resource configuration parameters, coverage area, and corresponding tablet PC identification information of each slice are summarized to generate multiple target tablet PC access network slice information.

[0044] Step S105: Based on the network slice information of the multiple target tablet computers, transmit the control command information of the multiple tablet computers to control the tablet computers.

[0045] In this embodiment, multiple tablet computer control command information can first be associated and bound with the corresponding tablet computer identification information to clarify the target tablet computer corresponding to each control command information. Then, based on the service tablet computer range corresponding to each slice in the access network slice information of multiple target tablet computers, the bound multiple tablet computer control command information is allocated to the corresponding target tablet computer access network slice. Next, the multiple tablet computer control command information allocated to each slice is prioritized, and control command information that is critical to the operation of the tablet computer is transmitted first. Then, combined with the transmission bandwidth and access network communication quality information of the target tablet computer access network slice, the transmission rate of control command information in each slice is adjusted to avoid transmission congestion or delay. Finally, the corresponding tablet computer control command information is accurately transmitted to the target tablet computer through each target tablet computer access network slice. The tablet computer receives and executes the control command information to realize the control of the tablet computer.

[0046] The tablet computer control method provided in this application accurately adapts to the communication needs of multiple tablet computers at different times. By reasonably dividing the access network slices, it ensures the efficiency and stability of control command transmission, thereby improving the utilization rate of access network resources, ensuring the timeliness and accuracy of control command transmission, and improving the communication quality and operating performance of multiple tablet computers. This enables tablet computers to obtain appropriate network support in diverse communication scenarios to achieve precise control and optimize the user experience.

[0047] Figure 2 The flowchart illustrating the implementation of the tablet computer control method provided in Embodiment 2 of this application is shown. The difference between this method and Embodiment 1 described above is that:

[0048] Multiple preset tablet computer communication time period demand feature extraction vectors include preset tablet computer communication time period bandwidth demand feature extraction vectors, preset tablet computer communication time period latency demand feature extraction vectors, preset tablet computer communication time period access quality demand feature extraction vectors, and preset tablet computer communication time period demand feature association weight vectors.

[0049] Step S103 specifically includes:

[0050] Step S201: Generate multiple tablet computer communication time period bandwidth requirement feature information based on the multiple tablet computer communication time period bandwidth requirement information and the preset tablet computer communication time period bandwidth requirement feature extraction vector.

[0051] In this embodiment, the preset bandwidth demand feature extraction vector for tablet computer communication periods can be manually set. It can be achieved by first standardizing multiple tablet computer communication period bandwidth demand information according to a preset data format, ensuring that the data format matches the dimensions of the preset tablet computer communication period bandwidth demand feature extraction vector. Then, each standardized tablet computer communication period bandwidth demand information is multiplied element-wise with the preset tablet computer communication period bandwidth demand feature extraction vector to obtain the initial bandwidth feature value of the corresponding bandwidth demand information in each feature dimension. Next, all initial bandwidth feature values ​​are normalized to map the values ​​to a unified range. Finally, the normalization results of each tablet computer communication period bandwidth demand information in all feature dimensions are summarized to generate multiple tablet computer communication period bandwidth demand feature information.

[0052] Step S202: Generate multiple tablet computer communication time period delay requirement feature information based on the multiple tablet computer communication time period delay requirement information and the preset tablet computer communication time period delay requirement feature extraction vector.

[0053] In this embodiment, the preset tablet computer communication time-segment latency requirement feature extraction vector can be manually set. First, multiple tablet computer communication time-segment latency requirement information can be standardized and converted according to a preset data format to ensure that the data format matches the dimensions of the preset tablet computer communication time-segment latency requirement feature extraction vector. Then, each standardized tablet computer communication time-segment latency requirement information is multiplied element-wise with the preset tablet computer communication time-segment latency requirement feature extraction vector to obtain the initial latency feature value of the corresponding latency requirement information in each feature dimension. Next, all initial latency feature values ​​are normalized to map the values ​​to a unified interval. Finally, the normalization results of each tablet computer communication time-segment latency requirement information in all feature dimensions are summarized to generate multiple tablet computer communication time-segment latency requirement feature information.

[0054] Step S203: Generate access quality requirement information for multiple tablet computer communication periods based on the bit error rate requirement information for multiple tablet computer communication periods, the interruption probability requirement information for multiple tablet computer communication periods, and the preset access quality requirement feature extraction vector for tablet computer communication periods.

[0055] In this embodiment, the preset feature extraction vector for access quality requirements during tablet communication periods can be manually set. First, the bit error rate requirement information and the interruption probability requirement information for multiple tablet communication periods can be standardized and converted according to a preset data format to ensure that the two types of information have a unified format and match the dimensions of the preset feature extraction vector for access quality requirements during tablet communication periods. Then, the standardized two types of information are multiplied element-wise with the preset feature extraction vector for access quality requirements during tablet communication periods to obtain the initial quality feature values ​​of the corresponding access quality-related requirement information on each feature dimension. Next, all initial quality feature values ​​are normalized to map the values ​​to a unified interval. Finally, the normalized results of the bit error rate requirement information and the interruption probability requirement information for each tablet communication period on all feature dimensions are summarized to generate multiple access quality requirement feature information for tablet communication periods.

[0056] Step S204: Based on the preset weighted vector of tablet computer communication time period demand characteristics, the bandwidth demand characteristics, latency demand characteristics, and access quality demand characteristics of the multiple tablet computer communication time periods are weighted and summed to obtain the multiple tablet computer communication time period demand characteristics.

[0057] In this embodiment, the preset tablet computer communication time period demand feature association weight vector can be manually set. First, the weight allocation values ​​for the corresponding tablet computer communication time period bandwidth demand feature information, tablet computer communication time period latency demand feature information, and tablet computer communication time period access quality demand feature information in the preset tablet computer communication time period demand feature association weight vector can be determined. Then, the bandwidth demand feature information of each tablet computer communication time period is multiplied by its corresponding weight value to obtain a bandwidth feature weighted value. Next, the latency demand feature information of each tablet computer communication time period is multiplied by its corresponding weight value to obtain a latency feature weighted value. Then, the access quality demand feature information of each tablet computer communication time period is multiplied by its corresponding weight value to obtain an access quality feature weighted value. Finally, the bandwidth feature weighted value, latency feature weighted value, and access quality feature weighted value corresponding to the same tablet computer are summed to obtain multiple tablet computer communication time period demand feature information.

[0058] The tablet computer control method provided in this application improves the accuracy of the communication time period demand characteristic information of the tablet computer, making the access network slice generation more suitable for the diverse communication needs of the tablet computer in different time periods, effectively optimizing the access network resource allocation efficiency, ensuring the stability and timeliness of control command transmission, thereby improving the communication quality and operating performance of multiple tablet computers, ensuring that the tablet computer obtains more accurate network support in diverse communication scenarios to achieve efficient control, and optimizing the user experience.

[0059] Figure 3 The flowchart illustrating the implementation of the tablet computer control method provided in Embodiment 3 of this application is shown. Its difference from Embodiment 1 described above lies in:

[0060] Multiple preset tablet computer communication time period demand feature extraction vectors include preset tablet computer communication time period demand feature mapping vectors, preset tablet computer communication time period demand feature extraction weight vectors, and preset tablet computer communication time period demand feature extraction bias vectors.

[0061] Step S103 specifically includes:

[0062] Step S301: Based on the bandwidth demand information of the multiple tablet computers during communication periods, calculate the peak bandwidth demand information and the average bandwidth demand information of the multiple tablet computers during communication periods.

[0063] In this embodiment, all bandwidth demand values ​​in the bandwidth demand information of each tablet computer during a communication period can be extracted first. Then, the maximum value of the bandwidth demand values ​​in each communication period can be selected and determined as the peak bandwidth demand information of the corresponding tablet computer during the communication period. Then, all bandwidth demand values ​​in each communication period can be summed and divided by the total number of bandwidth demand values ​​in that period to calculate the average bandwidth demand information of multiple tablet computers during the communication period.

[0064] Step S302: Based on the latency requirement information of the multiple tablet computers during communication periods, calculate the minimum latency requirement information and the average latency requirement information of the multiple tablet computers during communication periods.

[0065] In this embodiment, all latency requirement values ​​in the latency requirement information of each tablet computer's communication period can be extracted first. Then, the minimum value among the latency requirement values ​​in each communication period can be selected and determined as the minimum latency requirement information for the corresponding tablet computer's communication period. Then, all latency requirement values ​​in each communication period can be summed and divided by the total number of latency requirement values ​​in that period to calculate the average latency requirement information for multiple tablet computer communication periods.

[0066] Step S303: Based on the bit error rate requirement information and the interruption probability requirement information of the multiple tablet computer communication periods, calculate the average bit error rate requirement information and the average interruption probability requirement information of the multiple tablet computer communication periods.

[0067] In this embodiment, all bit error rate (BER) requirement values ​​in the BER requirement information for each tablet computer's communication period can be extracted first. The BER requirement values ​​within each communication period are summed and then divided by the total number of BER requirement values ​​within that period to calculate the average BER requirement information for multiple tablet computer communication periods. Then, all interruption probability requirement values ​​in the interruption probability requirement information for each tablet computer's communication period can be extracted. The interruption probability requirement values ​​within each communication period are summed and then divided by the total number of interruption probability requirement values ​​within that period to obtain the average interruption probability requirement information for multiple tablet computer communication periods.

[0068] Step S304: Based on the peak bandwidth demand information, average bandwidth demand information, minimum latency demand information, average latency demand information, average bit error rate demand information, average interruption probability demand information, and preset tablet computer communication period demand feature mapping vector, obtain the following information: bandwidth demand feature mapping information, latency demand feature mapping information, latency demand feature mapping information, bit error rate demand feature mapping information, and interruption demand feature mapping information for multiple tablet computer communication periods.

[0069] In this embodiment, the preset tablet computer communication time period demand feature mapping vector can be manually preset. First, the peak bandwidth demand information, average bandwidth demand information, minimum latency demand information, average latency demand information, average bit error rate demand information, and interruption probability demand information for multiple tablet computer communication time periods can be standardized and converted according to a preset data format. This ensures that the various data formats match the dimensions of the preset tablet computer communication time period demand feature mapping vector. Then, the standardized peak and average bandwidth demand information for tablet computer communication time periods are matched with the corresponding bandwidth dimension vector portion of the preset tablet computer communication time period demand feature mapping vector to obtain the bandwidth demand feature mapping information for multiple tablet computer communication time periods. Finally, the standardized... The minimum and average latency requirements for tablet computer communication periods are matched with the corresponding latency dimension vector in the preset tablet computer communication period requirement feature mapping vector to obtain multiple tablet computer communication period latency requirement feature mapping information. Then, the average bit error rate requirement for tablet computer communication periods is matched with the corresponding bit error rate dimension vector in the preset tablet computer communication period requirement feature mapping vector to obtain multiple tablet computer communication period bit error rate requirement feature mapping information. Finally, the average interruption probability requirement for tablet computer communication periods is matched with the corresponding interruption probability dimension vector in the preset tablet computer communication period requirement feature mapping vector to obtain multiple tablet computer communication period interruption requirement feature mapping information.

[0070] Step S305: Extract weight vectors based on the preset tablet computer communication time period demand features, and perform weighted calculations on the multiple tablet computer communication time period bandwidth demand feature mapping information, multiple tablet computer communication time period latency demand feature mapping information, multiple tablet computer communication time period bit error rate demand feature mapping information, and multiple tablet computer communication time period interruption demand feature mapping information to obtain multiple tablet computer communication time period demand mapping feature information.

[0071] In this embodiment, the preset weight vector for extracting the communication time period requirements of a tablet computer can be manually preset. First, the weight allocation values ​​corresponding to the bandwidth requirement feature mapping information, latency requirement feature mapping information, bit error rate requirement feature mapping information, and interruption requirement feature mapping information of the tablet computer communication time period can be confirmed. Then, each tablet computer communication time period bandwidth requirement feature mapping information is multiplied by its corresponding weight value to obtain a bandwidth mapping feature weighted value. Next, each tablet computer communication time period latency requirement feature mapping information is multiplied by its corresponding weight value to obtain a latency mapping feature weighted value. Then, each tablet computer communication time period bit error rate requirement feature mapping information is multiplied by its corresponding weight value to obtain a bit error rate mapping feature weighted value. Finally, each tablet computer communication time period interruption requirement feature mapping information is multiplied by its corresponding weight value to obtain an interruption mapping feature weighted value. Finally, the bandwidth mapping feature weighted value, latency mapping feature weighted value, bit error rate mapping feature weighted value, and interruption mapping feature weighted value corresponding to the same tablet computer are summarized to obtain multiple tablet computer communication time period requirement mapping feature information.

[0072] Step S306: Add the multiple tablet computer communication time period demand mapping feature information and the preset tablet computer communication time period demand feature extraction bias vector to obtain multiple tablet computer communication time period demand feature information.

[0073] In this embodiment, the preset bias vector for extracting the communication time period demand features of tablet computers can be manually preset. First, ensure that the data format of the multiple tablet computer communication time period demand mapping feature information matches the dimension of the preset bias vector. Then, add the corresponding elements in each tablet computer communication time period demand mapping feature information to the corresponding elements in the preset bias vector one by one. After completing the addition of all elements, summarize to obtain the complete feature data corresponding to each tablet computer communication time period, and then generate multiple tablet computer communication time period demand feature information.

[0074] The tablet computer control method provided in this application improves the comprehensiveness and accuracy of the communication time period demand characteristic information of the tablet computer, making the access network slice generation more closely match the actual time-segment communication needs of the tablet computer, effectively improving the adaptability and allocation efficiency of access network resources, ensuring the efficiency and stability of control command transmission, thereby improving the communication quality and operating performance of multiple tablet computers, ensuring that the tablet computer obtains more suitable network support for its own needs in diverse communication scenarios to achieve precise control, and optimizing the user experience.

[0075] Figure 4 The flowchart illustrating the implementation of the tablet computer control method provided in Embodiment 4 of this application is shown. The difference between this method and Embodiment 1 is that step S104 specifically includes:

[0076] Step S401: Generate multiple tablet computer communication demand feature time alignment information based on the multiple tablet computer communication time period demand feature information and the multiple tablet computer communication time information corresponding to the multiple tablet computer communication time period demand feature information.

[0077] In this embodiment, the timestamp data in the communication time information of each tablet computer corresponding to the communication time period requirement feature information can be extracted first. Then, the multiple tablet computer communication time period requirement feature information can be sorted according to the order of the corresponding timestamps. Then, the sorted tablet computer communication time period requirement feature information is bound one-to-one with the corresponding tablet computer communication time information to ensure that each feature information accurately matches its communication time interval. Finally, all the matched and bound information is summarized to generate multiple tablet computer communication requirement feature time alignment information.

[0078] Step S402: Based on the preset tablet PC access network slice generation model, multiple initial tablet PC access network slice information is generated according to the time alignment information of the multiple tablet PC communication demand characteristics, access network resource information, access network communication quality information, and the preset tablet PC access network slice quantity information.

[0079] In this embodiment, the preset tablet PC access network slice generation model can be manually preset, such as a trained greedy Gaussian model; the preset number of tablet PC access network slices can also be manually preset. First, multiple tablet PC communication demand characteristics, time alignment information, access network resource information, and access network communication quality information can be fused to ensure that all information formats are consistent and adaptable to the input requirements of the preset tablet PC access network slice generation model. Then, the preset tablet PC access network slice generation model is used to perform cluster analysis on the fused information, dividing it into resource groups that match the time alignment requirements of tablet PC communication periods. Next, combined with the preset number of tablet PC access network slices, the clustered resource groups are allocated to each initial slice to be generated. Then, the resource allocation ratio of each initial slice is adjusted according to the access network communication quality information to ensure that the communication quality of each initial slice meets the standards. Finally, the resource configuration parameters, coverage area, and corresponding tablet PC identification information of each initial slice are summarized to generate multiple initial tablet PC access network slice information.

[0080] Step S403: Based on the multiple initial tablet computer access network slice information, calculate the distance normalization information of the multiple initial tablet computer access network slices.

[0081] In this embodiment, the difference dimensions of resource configuration parameters in each initial tablet access network slice information can be determined first. Then, the resource configuration difference between any two initial tablet access network slices in each difference dimension can be calculated. Subsequently, all resource configuration differences are summarized and calculated to obtain the original distance information between each initial tablet access network slice and other slices. Then, the maximum and minimum values ​​of all original distance information are extracted, and each original distance information is mapped to a fixed value range according to a unified normalization rule, thereby calculating the distance normalization information of multiple initial tablet access network slices.

[0082] Step S404: Based on the distance normalization information of the multiple initial tablet PC access network slices, the information of the multiple initial tablet PC access network slices, the communication time period requirement information of the multiple tablet PCs, and the preset initial tablet PC access network slice communication performance calculation weights, the communication performance characterization value information of the multiple initial tablet PC access network slices is obtained.

[0083] In this embodiment, the preset initial tablet PC access network slice communication performance calculation weights can be manually preset. First, the distance normalization information of multiple initial tablet PC access network slices, multiple initial tablet PC access network slice information, and multiple tablet PC communication time period demand information can be integrated to ensure that all information dimensions are consistent and can be jointly analyzed. Then, the weight allocation values ​​corresponding to each information category in the preset initial tablet PC access network slice communication performance calculation weights are confirmed. Next, the integrated information categories are multiplied by their corresponding weight values ​​to obtain the weighted results for each type of information. Finally, all weighted results corresponding to the same initial tablet PC access network slice are summed to obtain the communication performance characterization values ​​for multiple initial tablet PC access network slices.

[0084] Step S405: Determine whether the minimum value of the multiple initial tablet PC access network slice communication performance characterization values ​​is greater than the preset initial tablet PC access network slice communication performance threshold; if yes, proceed to step S406; if no, proceed to step S407.

[0085] In this embodiment, the preset initial tablet PC access network slice communication performance threshold can be manually preset. The smallest performance value can be selected from multiple initial tablet PC access network slice communication performance characteristic values, and then this smallest value can be compared with the preset initial tablet PC access network slice communication performance threshold.

[0086] Step S406: Use the multiple initial tablet computer access network slice information as multiple target tablet computer access network slice information.

[0087] In this embodiment, when it is determined that the minimum value of the communication performance characterization information of multiple initial tablet PC access network slices is greater than the preset initial tablet PC access network slice communication performance threshold, it indicates that the communication performance of all initial tablet PC access network slices has met the preset requirements. Therefore, the multiple initial tablet PC access network slice information can be used as multiple target tablet PC access network slice information for subsequent tablet PC control command information transmission and processing operations.

[0088] Step S407: Generate multiple intermediate tablet computer access network slice information based on the time alignment information of the multiple tablet computer communication demand characteristics, access network resource information, access network communication quality information, preset tablet computer access network slice quantity information, and preset tablet computer access network slice quantity adjustment information.

[0089] In this embodiment, the preset number of tablet PC access network slices can be preset manually, and the preset adjustment information for the number of tablet PC access network slices can also be preset manually. First, the difference between the minimum value of multiple initial tablet PC access network slice communication performance characterization values ​​and the preset initial tablet PC access network slice communication performance threshold can be used to determine the resource allocation direction that needs adjustment. Then, based on the preset adjustment information for the number of tablet PC access network slices, the preset number of tablet PC access network slices is adaptively adjusted. Next, the adjusted slice number information, the time alignment information of multiple tablet PC communication demand characteristics, the access network resource information, and the access network communication quality information are re-fused. Finally, the fused information is re-clustered and resource-allocated using a preset tablet PC access network slice generation model, thereby generating multiple intermediate tablet PC access network slice information.

[0090] Step S408: Use the network slice information of the multiple intermediate tablet computers as the network slice information of the multiple initial tablet computers, and return to step S403.

[0091] In this embodiment, the generated intermediate tablet computer access network slice information can replace the original initial tablet computer access network slice information as new initial tablet computer access network slice information. This new initial tablet computer access network slice information is used to recalculate the distance normalization information of the new initial tablet computer access network slice information. The subsequent steps are then repeated until the target tablet computer access network slice information that meets the communication performance requirements is obtained.

[0092] The tablet computer control method provided in this application improves the adaptation accuracy of access network slices and tablet computer time-sharing communication needs by performing time alignment processing on the communication demand characteristics of tablet computers and combining a closed-loop optimization mechanism of dynamic evaluation and quantity adjustment of slice performance. This effectively ensures that the communication performance of each slice meets the standards, significantly optimizes the rationality and efficiency of access network resource allocation, and ensures the stability and timeliness of control command transmission. As a result, it effectively improves the communication quality and operating performance of multiple tablet computers, ensuring that tablet computers obtain more reliable network support in diverse communication scenarios to achieve precise control and optimize the user experience.

[0093] Figure 5 The flowchart illustrating the implementation of the tablet computer control method provided in Embodiment 5 of this application is shown. The difference between this method and Embodiment 4 above is that step S403 specifically includes:

[0094] Step S501: Calculate the Euclidean distance between the multiple initial tablet PC access network slice information to obtain the multiple initial tablet PC access network slice distance information.

[0095] In this embodiment, the core resource configuration parameters of each initial tablet computer access network slice information can be extracted first. These core resource configuration parameters may include tablet computer access spectrum information, tablet computer access base station computing power information, and tablet computer access transmission capacity information. Then, the core resource configuration parameters of each initial tablet computer access network slice are organized into corresponding numerical vector forms to ensure that the numerical vector dimension of all initial tablet computer access network slices remains consistent. Then, for any two initial tablet computer access network slices, the corresponding element difference calculation and square summation operation can be performed according to the Euclidean distance calculation logic, and the square root of the summation result is performed to obtain the distance information of multiple initial tablet computer access network slices.

[0096] Step S502: Calculate the average value of the multiple initial tablet computer access network slice distance information to obtain the average value information of the initial tablet computer access network slice distance.

[0097] In this embodiment, the total number of distance values ​​contained in the distance information of multiple initial tablet PC access network slices can be counted first. Then, the distance values ​​corresponding to all the distance information of the initial tablet PC access network slices can be summed to obtain the total distance value information. Then, the total distance value information can be divided by the total number of distance values ​​to obtain the average distance information of the initial tablet PC access network slices.

[0098] Step S503: Based on the average distance information of the initial tablet computer access network slice, normalize the distance information of the multiple initial tablet computer access network slices to obtain normalized distance information of the multiple initial tablet computer access network slices.

[0099] In this embodiment, the maximum and minimum distance values ​​can be extracted from the distance information of multiple initial tablet PC access network slices. Then, using the average distance information of the initial tablet PC access network slices as a reference, the difference between the distance information of each initial tablet PC access network slice and the minimum distance information is calculated to obtain the relative difference of each distance information. Then, each relative difference is compared with the difference between the maximum and minimum distance information, and the calculation result is mapped to a fixed numerical range to obtain the normalized distance information of multiple initial tablet PC access network slices.

[0100] The tablet computer control method provided in this application improves the calculation accuracy and reliability of the initial tablet computer access network slice distance normalization information, effectively ensures the adaptability and reliability of the target tablet computer access network slice information, ensures the efficient and stable transmission of control commands, thereby improving the communication quality and operating performance of multiple tablet computers, ensuring that tablet computers obtain more accurate network support in diverse communication scenarios to achieve precise control, and optimizing the user experience.

[0101] Figure 6 The flowchart illustrating the implementation of the tablet computer control method provided in Embodiment Six of this application is shown. The difference between this method and Embodiment Five is that step S504 specifically includes:

[0102] Step S601: Calculate the communication resource utilization information of the multiple initial tablet PC access network slices based on the multiple initial tablet PC access network slice information and the multiple tablet PC communication time period demand information.

[0103] In this embodiment, the total resource configuration data in the access network slice information of each initial tablet computer can be extracted first. This total resource configuration data includes the total frequency band of the tablet computer access spectrum, the total computing power of the tablet computer access base station, and the total transmission capacity of the tablet computer access. Then, the total resource demand data in the communication time period demand information of all tablet computers within the service range of each initial tablet computer access network slice can be extracted. Then, the ratio of the total resource demand data corresponding to each initial tablet computer access network slice to the total resource configuration data is calculated to obtain the communication resource utilization ratio of each initial tablet computer access network slice, thereby calculating the communication resource utilization rate information of multiple initial tablet computer access network slices.

[0104] Step S602: Normalize the utilization rate information of the multiple initial tablet PC access network slice communication resources to obtain normalized information of the utilization rate of the multiple initial tablet PC access network slice communication resources.

[0105] In this embodiment, the maximum and minimum utilization values ​​of multiple initial tablet PC access network slice communication resource utilization information can be screened first to determine the target numerical range for normalization processing. Then, the minimum utilization value is subtracted from each initial tablet PC access network slice communication resource utilization information to obtain the relative difference between each utilization value. Finally, each relative difference is divided by the difference between the maximum and minimum utilization values, and the result is mapped to the target numerical range to obtain the normalized information of multiple initial tablet PC access network slice communication resource utilization.

[0106] Step S603: Based on the preset initial tablet PC access network slice communication performance calculation weights, the distance normalization information of the multiple initial tablet PC access network slices and the communication resource utilization normalization information of the multiple initial tablet PC access network slices are weighted and summed to obtain the communication performance characterization value information of the multiple initial tablet PC access network slices.

[0107] In this embodiment, the preset initial tablet PC access network slice communication performance calculation weights can be manually preset. These weights include a first weight value corresponding to the distance normalization information of the initial tablet PC access network slice and a second weight value corresponding to the communication resource utilization normalization information of the initial tablet PC access network slice. First, the first and second weight values ​​in the preset initial tablet PC access network slice communication performance calculation weights can be confirmed. Then, the distance normalization information of each initial tablet PC access network slice is multiplied by the first weight value to obtain a distance normalized weighted value. Next, the communication resource utilization normalization information of each initial tablet PC access network slice is multiplied by the second weight value to obtain a resource utilization normalized weighted value. Finally, the distance normalized weighted value and the resource utilization normalized weighted value corresponding to the same initial tablet PC access network slice are summed to obtain multiple initial tablet PC access network slice communication performance characterization values.

[0108] The tablet computer control method provided in this application improves the comprehensiveness and accuracy of communication performance characterization information, provides reliable data support for closed-loop optimization of access network slicing, ensures that the generated target tablet computer access network slice information is more in line with the actual communication needs and resource configuration of the tablet computer, effectively improves the access network resource utilization efficiency and control command transmission stability, thereby improving the communication quality and operating performance of multiple tablet computers, ensuring that the tablet computer obtains more suitable network support in diverse communication scenarios to achieve precise control, and optimizes the user experience.

[0109] Corresponding to the method in the above embodiments, Figure 7 A structural block diagram of a tablet computer control device provided in an embodiment of this application is shown. For ease of explanation, only the parts related to the embodiment of this application are shown. Figure 7 The example tablet computer control device can be the execution subject of the tablet computer control method provided in the aforementioned embodiment 1.

[0110] Reference Figure 7 The tablet computer control device includes:

[0111] The information acquisition module 710 is used to acquire communication requirement information of multiple tablet computers, communication time information of multiple tablet computers, control command information of multiple tablet computers, access network resource information, and access network communication quality information; the tablet computer communication requirement information and the tablet computer communication time information correspond one-to-one.

[0112] The tablet computer communication time period demand information generation module 720 is used to segment the multiple tablet computer communication demand information according to the multiple tablet computer communication time information and the preset tablet computer communication time interval to obtain multiple tablet computer communication time period demand information.

[0113] The tablet computer communication time period demand feature information generation module 730 is used to perform feature extraction processing on the multiple tablet computer communication time period demand information based on multiple preset tablet computer communication time period demand feature extraction vectors to obtain multiple tablet computer communication time period demand feature information.

[0114] The target tablet computer access network slice information generation module 740 is used to generate multiple target tablet computer access network slice information based on a preset tablet computer access network slice generation model, according to the multiple tablet computer communication time period demand characteristic information, access network resource information, access network communication quality information and preset tablet computer access network slice quantity information.

[0115] The tablet computer control command information transmission module 750 is used to process and transmit multiple tablet computer control command information according to the multiple target tablet computer access network slice information, so as to control the tablet computer through the multiple tablet computer control command information.

[0116] For details on how each module in the tablet computer control device provided in this application implements its respective function, please refer to the foregoing. Figure 1 The description of Embodiment 1 shown will not be repeated here.

[0117] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0118] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0119] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0120] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0121] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only for distinguishing descriptions and should not be construed as indicating or implying relative importance. It should also be understood that although the terms "first," "second," etc., are used in the text to describe various elements in some embodiments of this application, these elements should not be limited by these terms. These terms are merely used to distinguish one element from another. For example, a first table may be named a second table, and similarly, a second table may be named a first table, without departing from the scope of the various described embodiments. Both the first table and the second table are tables, but they are not the same table.

[0122] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0123] The tablet computer control method provided in this application can be applied to terminal devices such as mobile phones, tablet computers, wearable devices, and vehicle-mounted devices. This application does not impose any restrictions on the specific type of terminal device.

[0124] For example, the terminal device may be a station in a WLAN, a cellular phone, a handheld device with wireless communication capabilities, a computing device or other processing device connected to a wireless modem, an in-vehicle device, a vehicle networking terminal, a computer, a laptop computer, a handheld communication device, a handheld computing device, a satellite wireless device, a wireless modem card and / or other devices for communication over a wireless system, as well as next-generation communication systems, such as mobile terminals in 5G networks or mobile terminals in future evolved public terrestrial mobile networks.

[0125] Figure 8 This is a schematic diagram of the structure of a terminal device provided in an embodiment of this application. For example... Figure 8 As shown, the terminal device 8 of this embodiment includes: at least one processor 80 ( Figure 8 Only one is shown in the diagram), and a memory 81 is stored in which a computer program 82 that can run on the processor 80 is stored. When the processor 80 executes the computer program 82, it implements the steps in the various embodiments of the tablet computer control method described above, for example...Figure 1 Steps S101 to S105 are shown. Alternatively, when the processor 80 executes the computer program 82, it implements the functions of each module / unit in the above-described device embodiments, for example... Figure 7 The functions of modules 710 to 750 are shown.

[0126] The terminal device 8 can be a desktop computer, laptop, handheld computer, or cloud server, etc. The terminal device may include, but is not limited to, a processor 80 and a memory 81. Those skilled in the art will understand that... Figure 8 This is merely an example of terminal device 8 and does not constitute a limitation on terminal device 8. It may include more or fewer components than shown, or combine certain components, or different components. For example, the terminal device may also include input transmission devices, network access devices, buses, etc.

[0127] The processor 80 may be a central processing unit, or it may be other general-purpose processors, digital signal processors, or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0128] In some embodiments, the memory 81 may be an internal storage unit of the terminal device 8, such as a hard disk or memory of the terminal device 8. The memory 81 may also be an external storage device of the terminal device 8, such as a plug-in hard disk or smart memory card equipped on the terminal device 8. Furthermore, the memory 81 may include both internal and external storage units of the terminal device 8. The memory 81 is used to store operating systems, applications, data, and other programs, such as the program code of the computer program. The memory 81 can also be used to temporarily store data that has been sent or will be sent.

[0129] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0130] This application also provides a terminal device, which includes at least one memory, at least one processor, and a computer program stored in the at least one memory and executable on the at least one processor. When the processor executes the computer program, it causes the terminal device to implement the steps in any of the above method embodiments.

[0131] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps described in the various method embodiments above.

[0132] This application provides a computer program product that, when run on a terminal device, enables the terminal device to implement the steps described in the various method embodiments above.

[0133] If the integrated module / unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0134] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0135] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0136] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0137] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A tablet control method, characterized by, The method comprises the following steps: obtaining a plurality of tablet computer communication demand information, a plurality of tablet computer communication time information, a plurality of tablet computer control instruction information, access network resource information and access network communication quality information; the tablet computer communication demand information and the tablet computer communication time information correspond one by one; according to the plurality of tablet computer communication time information and the preset tablet computer communication time interval, the plurality of tablet computer communication demand information is cut to obtain a plurality of tablet computer communication period demand information; based on a plurality of preset tablet computer communication period demand feature extraction vectors, the plurality of tablet computer communication period demand information is subjected to feature extraction processing to obtain a plurality of tablet computer communication period demand feature information; based on a preset tablet computer access network slice generation model, according to the plurality of tablet computer communication period demand feature information, the access network resource information, the access network communication quality information and the preset tablet computer access network slice quantity information, a plurality of target tablet computer access network slice information is generated; according to the plurality of target tablet computer access network slice information, the plurality of tablet computer control instruction information is subjected to transmission processing to control the tablet computer through the plurality of tablet computer control instruction information.

2. The tablet computer control method of claim 1, wherein the tablet computer communication demand information includes tablet computer communication bandwidth demand information, tablet computer communication delay demand information, tablet computer communication error rate demand information and tablet computer communication interruption probability demand information; wherein the tablet computer communication bandwidth demand information, the tablet computer communication delay demand information, the tablet computer communication error rate demand information and the tablet computer communication interruption probability demand information correspond one by one with the tablet computer communication time information; the tablet computer communication period demand information includes tablet computer communication period bandwidth demand information, tablet computer communication period delay demand information, tablet computer communication period error rate demand information and tablet computer communication period interruption probability demand information; the access network resource information includes tablet computer access spectrum information, tablet computer access base station computing power information and tablet computer access transmission capacity information; the access network communication quality information includes tablet computer access signal strength information, tablet computer access delay information, tablet computer access error rate information, tablet computer access duration information and tablet computer concurrent access quantity information.

3. The tablet computer control method of claim 2, wherein a plurality of preset tablet computer communication period demand feature extraction vectors include a preset tablet computer communication period bandwidth demand feature extraction vector, a preset tablet computer communication period delay demand feature extraction vector, a preset tablet computer communication period access quality demand feature extraction vector and a preset tablet computer communication period demand feature correlation weight vector; the step of extracting features from the plurality of tablet computer communication period demand information based on a plurality of preset tablet computer communication period demand feature extraction vectors to obtain a plurality of tablet computer communication period demand feature information specifically comprises: According to the plurality of tablet computer communication period bandwidth demand information and the preset tablet computer communication period bandwidth demand feature extraction vector, a plurality of tablet computer communication period bandwidth demand feature information is generated; According to the plurality of tablet computer communication period time delay demand information and the preset tablet computer communication period time delay demand feature extraction vector, a plurality of tablet computer communication period time delay demand feature information is generated; According to the plurality of tablet computer communication period error rate demand information, the plurality of tablet computer communication period interruption probability demand information and the preset tablet computer communication period access quality demand feature extraction vector, a plurality of tablet computer communication period access quality demand feature information is generated; Based on the preset tablet computer communication period demand feature correlation weight vector, the plurality of tablet computer communication period bandwidth demand feature information, the plurality of tablet computer communication period time delay demand feature information and the plurality of tablet computer communication period access quality demand feature information are weighted and summed to obtain a plurality of tablet computer communication period demand feature information.

4. The tablet computer control method of claim 2, wherein The plurality of preset tablet computer communication period demand feature extraction vectors include a preset tablet computer communication period demand feature mapping vector, a preset tablet computer communication period demand feature extraction weight vector and a preset tablet computer communication period demand feature extraction bias vector; The step of performing feature extraction processing on the plurality of tablet computer communication period demand information based on the plurality of preset tablet computer communication period demand feature extraction vectors to obtain a plurality of tablet computer communication period demand feature information specifically includes: According to the plurality of tablet computer communication period bandwidth demand information, a plurality of tablet computer communication period bandwidth demand peak value information and a plurality of tablet computer communication period bandwidth demand average value information are calculated; According to the plurality of tablet computer communication period time delay demand information, a plurality of tablet computer communication period time delay demand minimum value information and a plurality of tablet computer communication period time delay demand average value information are calculated; According to the plurality of tablet computer communication period error rate demand information and the plurality of tablet computer communication period interruption probability demand information, a plurality of tablet computer communication period error rate demand average value information and a plurality of tablet computer communication period interruption probability demand average value information are calculated; According to the plurality of tablet computer communication period bandwidth demand peak value information, the plurality of tablet computer communication period bandwidth demand average value information, the plurality of tablet computer communication period time delay demand minimum value information, the plurality of tablet computer communication period time delay demand average value information, the plurality of tablet computer communication period error rate demand average value information, the plurality of tablet computer communication period interruption probability demand average value information and the preset tablet computer communication period demand feature mapping vector, a plurality of tablet computer communication period bandwidth demand feature mapping information, a plurality of tablet computer communication period time delay demand feature mapping information, a plurality of tablet computer communication period time delay demand feature mapping information, a plurality of tablet computer communication period error rate demand feature mapping information and a plurality of tablet computer communication period interruption demand feature mapping information are obtained; According to the preset tablet computer communication period demand feature extraction weight vector, the multiple tablet computer communication period bandwidth demand feature mapping information, multiple tablet computer communication period delay demand feature mapping information, multiple tablet computer communication period delay demand feature mapping information, multiple tablet computer communication period error rate demand feature mapping information and multiple tablet computer communication period interruption demand feature mapping information are weighted and calculated to obtain multiple tablet computer communication period demand mapping feature information; According to the multiple tablet computer communication period demand mapping feature information and the preset tablet computer communication period demand feature extraction bias vector, the multiple tablet computer communication period demand feature information is obtained by addition. 5.The tablet control method of claim 2, wherein, The step of generating multiple target tablet computer access network slice information according to the multiple tablet computer communication period demand feature information, access network resource information, access network communication quality information and preset tablet computer access network slice quantity information based on the preset tablet computer access network slice generation model, specifically includes: According to the multiple tablet computer communication period demand feature information and the multiple tablet computer communication time information corresponding to the multiple tablet computer communication period demand feature information, multiple tablet computer communication demand feature time alignment information is generated; According to the multiple tablet computer communication demand feature time alignment information, access network resource information, access network communication quality information and preset tablet computer access network slice quantity information based on the preset tablet computer access network slice generation model, multiple initial tablet computer access network slice information is generated; According to the multiple initial tablet computer access network slice distance normalization information, multiple initial tablet computer access network slice information, multiple tablet computer communication period demand information and preset initial tablet computer access network slice communication performance calculation weight, multiple initial tablet computer access network slice communication performance characteristic value information is obtained; Determine whether the minimum value of the multiple initial tablet computer access network slice communication performance characteristic value information is greater than the preset initial tablet computer access network slice communication performance threshold value; If yes, the multiple initial tablet computer access network slice information is taken as the multiple target tablet computer access network slice information; If not, according to the multiple tablet computer communication demand feature time alignment information, access network resource information, access network communication quality information, preset tablet computer access network slice quantity information and preset tablet computer access network slice quantity adjustment information, multiple intermediate tablet computer access network slice information is generated; The multiple intermediate tablet computer access network slice information is taken as the multiple initial tablet computer access network slice information, and returns to the step of calculating the multiple initial tablet computer access network slice distance normalization information according to the multiple initial tablet computer access network slice information. The step of calculating the multiple initial tablet computer access network slice distance normalization information according to the multiple initial tablet computer access network slice information, specifically includes: 6.The tablet control method of claim 5, wherein, ​ Calculate the Euclidean distance of the plurality of initial tablet computer access network slice information to obtain a plurality of initial tablet computer access network slice distance information; Calculate the mean of the plurality of initial tablet computer access network slice distance information to obtain initial tablet computer access network slice distance mean information; According to the initial tablet computer access network slice distance mean information, the plurality of initial tablet computer access network slice distance information is normalized to obtain a plurality of initial tablet computer access network slice distance normalized information. 7.The tablet control method of claim 5, wherein, The step of obtaining a plurality of initial tablet computer access network slice communication performance characteristic value information according to the plurality of initial tablet computer access network slice distance normalized information, the plurality of initial tablet computer access network slice information, the plurality of tablet computer communication period demand information and the preset initial tablet computer access network slice communication performance calculation weight, specifically includes: According to the plurality of initial tablet computer access network slice information and the plurality of tablet computer communication period demand information, a plurality of initial tablet computer access network slice communication resource utilization rate information is calculated; The plurality of initial tablet computer access network slice communication resource utilization rate information is normalized to obtain a plurality of initial tablet computer access network slice communication resource utilization rate normalized information; According to the preset initial tablet computer access network slice communication performance calculation weight, the plurality of initial tablet computer access network slice distance normalized information and the plurality of initial tablet computer access network slice communication resource utilization rate normalized information are weighted and summed to obtain a plurality of initial tablet computer access network slice communication performance characteristic value information.

8. A tablet control device, characterized by, It includes: The information acquisition module is used for acquiring a plurality of tablet computer communication demand information, a plurality of tablet computer communication time information, a plurality of tablet computer control instruction information, access network resource information and access network communication quality information; the tablet computer communication demand information and the tablet computer communication time information are one-to-one corresponding; The tablet computer communication period demand information generation module is used for cutting the plurality of tablet computer communication demand information according to the plurality of tablet computer communication time information and the preset tablet computer communication time interval to obtain a plurality of tablet computer communication period demand information; The tablet computer communication period demand feature information generation module is used for performing feature extraction processing on the plurality of tablet computer communication period demand information based on a plurality of preset tablet computer communication period demand feature extraction vectors to obtain a plurality of tablet computer communication period demand feature information; The target tablet computer access network slice information generation module is used for generating a plurality of target tablet computer access network slice information based on a preset tablet computer access network slice generation model according to the plurality of tablet computer communication period demand feature information, the access network resource information, the access network communication quality information and the preset tablet computer access network slice quantity information; The tablet computer control instruction information transmission module is used for transmitting the plurality of tablet computer control instruction information according to the plurality of target tablet computer access network slice information to control the tablet computer through the plurality of tablet computer control instruction information.

9. A terminal device, comprising: The terminal device comprises a memory, a processor, the memory has a computer program stored thereon, the computer program is executable on the processor, and the processor implements the steps of the method according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium storing a computer program, the computer-readable storage medium comprising: The computer program is executable on the processor, and the processor implements the steps of the method according to any one of claims 1 to 7 when executing the computer program.

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