Intelligent communication switching method based on artificial intelligence

Abstract

The invention provides an intelligent communication switching method based on artificial intelligence, and relates to the technical field of communication, and the method comprises the steps: in a current management period, obtaining a transmission performance parameter of a channel in real time through a network management tool; acquiring user data information of a mobile user; determining a channel communication quality score according to the transmission performance parameter and the user data information; acquiring weather forecast information of the date of the current management period; determining whether to switch the communication channel according to the channel communication quality score, the weather forecast information, the mobile user real-time position information and the user movement information; and under the condition that the communication channel needs to be switched, determining a to-be-switched channel according to the mobile user communication equipment information. According to the method and the device, the channel communication quality can be evaluated according to the transmission performance parameters and the user data information, the channel communication quality score is obtained, and whether the communication channel is switched or not is determined according to the channel communication quality score.

Description

Technical Field

[0001] The present invention relates to the field of communication technology, and in particular to an intelligent communication switching method based on artificial intelligence. Background Art

[0002] In the related art, CN104811971B discloses a communication mode switching method and communication device. The communication device includes: a sending module for sending a training signal to the communication device; an elimination acquisition module for performing self-interference elimination according to the training signal and acquiring a decision parameter when the communication device communicates with the second communication device; wherein the communication device supports full-duplex communication mode and non-full-duplex communication mode, and the full-duplex communication mode supports simultaneous and co-frequency communication; the decision parameter is a parameter used by the communication device to determine whether to switch the current working mode of the communication device; a judgment module for judging whether the decision parameter obtained by the elimination acquisition module is greater than the judgment threshold and obtaining a judgment result; a determination switching module for determining whether to switch the current working mode of the communication device according to the judgment result obtained by the judgment module, so that the communication quality between the communication device and the second communication device is guaranteed, and the stability of the system communication is improved.

[0003] CN113630788B discloses a method and system for multi-mode switching between communication networks, which is characterized in that after calculating and clustering the distances between multiple terminal nodes, different network communication modes are switched according to the number of nodes in each category. Compared with the prior art, this scheme dynamically adjusts the initial network mode according to the initial position information, and finds the optimal communication path through clustering normalization algorithm deduction without human intervention. It is convenient and fast, and the communication link is stable and reliable, ensuring reliable communication while saving power consumption; it overcomes the scene restrictions and objective factors of the equipment itself, such as limited transmission distance, etc. Through reasonable optimization rules, it can meet the actual customer needs and take into account the limitations of the equipment itself. There is no need to set the network communication mode in advance, and the equipment can be deployed at any position in a scene, which can significantly increase the construction flexibility.

[0004] Based on the above related technologies, the stability of system communication can be improved. However, the related technologies do not take into account the impact of communication quality factors, weather factors and user location factors on communication channel switching, that is, it is impossible to determine whether to switch the communication channel based on channel communication quality, weather forecast information and user location information.

[0005] The information disclosed in the background technology section of this application is only intended to deepen the understanding of the general background technology of this application, and should not be regarded as an admission or any form of suggestion that the information constitutes the prior art already known to those skilled in the art. Summary of the invention

[0006] The present invention provides an intelligent communication switching method based on artificial intelligence, which can solve the technical problem that the related technology cannot judge whether to switch the communication channel according to the channel communication quality, weather forecast information and user location information.

[0007] According to a first aspect of the present invention, there is provided an artificial intelligence-based intelligent communication switching method, comprising:

[0008] In the current management cycle, the transmission performance parameters of the channel are obtained in real time through the network management tool, wherein the transmission performance parameters include: round-trip delay, channel utilization and signal-to-noise ratio;

[0009] In the current management cycle, user data information of the mobile user is obtained, wherein the user data information includes: mobile user communication device information, mobile user real-time location information and user movement information;

[0010] Determining a channel communication quality score according to the transmission performance parameter and the user data information;

[0011] Get the weather forecast information for the current management period;

[0012] Determining whether to switch the communication channel according to the channel communication quality score, the weather forecast information, the real-time location information of the mobile user and the user movement information;

[0013] In the case where the communication channel needs to be switched, the channel to be switched is determined according to the mobile user communication device information.

[0014] According to a second aspect of the present invention, there is provided an intelligent communication switching system based on artificial intelligence, comprising:

[0015] A transmission performance parameter acquisition module is used to acquire the transmission performance parameters of the channel in real time through a network management tool during the current management cycle, wherein the transmission performance parameters include: round-trip delay, channel utilization and signal-to-noise ratio;

[0016] A module for acquiring user data information is used to acquire user data information of mobile users in the current management cycle, wherein the user data information includes: mobile user communication device information, mobile user real-time location information and user movement information;

[0017] A channel communication quality scoring module, used to determine a channel communication quality score according to the transmission performance parameter and the user data information;

[0018] The weather forecast information acquisition module is used to acquire the weather forecast information for the date of the current management cycle;

[0019] A communication channel switching judgment module is used to determine whether to switch the communication channel according to the channel communication quality score, the weather forecast information, the real-time location information of the mobile user and the user movement information;

[0020] The communication channel switching module is used to determine the channel to be switched according to the mobile user communication device information when the communication channel needs to be switched.

[0021] Technical effect: According to the present invention, the transmission performance parameters and user data information of the channel can be accurately obtained, and the channel communication quality can be comprehensively evaluated based on the transmission performance parameters to determine the channel communication quality score. Furthermore, based on the channel communication quality score and the impact of weather information and user location information on the channel communication quality, it is determined whether to switch the communication channel, and the channel to be switched is determined based on the user device information, thereby improving the efficiency and accuracy of communication channel switching and ensuring the stability of channel communication quality. When determining the actual round-trip delay, the actual round-trip delay can be determined based on the round-trip delay, the network protocol overhead time and the processing capacity of the mobile communication device. During the calculation process, the impact of the network protocol overhead time and the processing capacity of the mobile device on the actual round-trip delay is fully considered, thereby improving the accuracy of the actual round-trip delay. When determining the channel communication quality score, the channel communication quality score can be determined based on the standard deviation of the round-trip delay, the actual round-trip delay and the transmission performance parameters. During the calculation process, the stability of the channel communication transmission is evaluated based on the standard deviation of the round-trip delay. Further, the communication speed, the communication channel network congestion condition and the signal quality condition are evaluated based on the actual round-trip delay, the channel utilization rate and the signal-to-noise ratio. The channel communication quality condition is comprehensively evaluated based on the four aspects of communication transmission stability, communication speed, communication channel network congestion condition and signal quality condition to determine the channel communication quality score, thereby improving the accuracy and comprehensiveness of the channel communication quality score. When determining whether to switch the communication channel, it can be determined based on the channel communication quality score, current weather information, predicted weather information, transmission distance and predicted transmission distance. During the calculation process, the influence of wind data, humidity data, temperature data and transmission distance on the channel communication quality can be accurately analyzed, and based on the influence of the above data on the channel communication quality, the predicted channel communication quality status of the next cycle is determined. Furthermore, based on the channel communication quality score of the current management cycle and the predicted communication quality score of the next management cycle, it is determined whether to switch the communication channel, thereby improving the efficiency and accuracy of communication channel switching.

[0022] It should be understood that the above general description and the following detailed description are exemplary and explanatory only and do not limit the present invention. Other features and aspects of the present invention will become more apparent from the following detailed description of exemplary embodiments with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other embodiments can be obtained based on these drawings without creative work.

[0024] Figure 1 A schematic diagram exemplarily shows a flow chart of an intelligent communication switching method based on artificial intelligence according to an embodiment of the present invention;

[0025] Figure 2 A block diagram of an artificial intelligence-based intelligent communication switching system according to an embodiment of the present invention is exemplarily shown. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0027] The technical solution of the present invention is described in detail with specific embodiments below. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0028] Figure 1 A flow chart of an artificial intelligence-based intelligent communication switching method according to an embodiment of the present invention is exemplarily shown, and the method includes:

[0029] Step S101, in the current management cycle, the transmission performance parameters of the channel are obtained in real time through the network management tool, wherein the transmission performance parameters include: round-trip delay, channel utilization and signal-to-noise ratio;

[0030] Step S102, in the current management cycle, obtaining user data information of the mobile user, wherein the user data information includes: mobile user communication device information, mobile user real-time location information and user movement information;

[0031] Step S103, determining a channel communication quality score according to the transmission performance parameter and the user data information;

[0032] Step S104, obtaining weather forecast information for the date of the current management period;

[0033] Step S105, determining whether to switch the communication channel according to the channel communication quality score, the weather forecast information, the real-time location information of the mobile user and the user movement information;

[0034] Step S106: When the communication channel needs to be switched, the channel to be switched is determined according to the mobile user communication device information.

[0035] According to the artificial intelligence-based intelligent communication switching method of the embodiment of the present invention, the transmission performance parameters and user data information of the channel can be accurately obtained, and the channel communication quality can be comprehensively evaluated according to the transmission performance parameters to determine the channel communication quality score. Furthermore, according to the channel communication quality score and the influence of weather information and user location information on the channel communication quality, it is determined whether to switch the communication channel, and the channel to be switched is determined according to the user equipment information, thereby improving the efficiency and accuracy of communication channel switching and ensuring the stability of channel communication quality.

[0036] According to an embodiment of the present invention, in step S101, in the current management cycle, the transmission performance parameters of the channel are obtained in real time through a network management tool, wherein the transmission performance parameters include: round-trip delay, channel utilization and signal-to-noise ratio.

[0037] For example, professional network management tools can be used to obtain the channel's round-trip delay (the total time from when the sender sends data to when the sender receives confirmation from the receiver), channel utilization (the efficiency of channel resources being effectively utilized) and signal-to-noise ratio in real time.

[0038] According to an embodiment of the present invention, in step S102, user data information of a mobile user is obtained in the current management cycle, wherein the user data information includes: mobile user communication device information, mobile user real-time location information and user movement information.

[0039] For example, the mobile user's communication device information (for example, the processor and mobile network type of the user's communication device) is obtained through professional network tools, and the mobile user's real-time location information and user movement information are determined through the positioning system.

[0040] According to an embodiment of the present invention, in step S103, a channel communication quality score is determined according to the transmission performance parameter and the user data information.

[0041] According to one embodiment of the present invention, step S103 includes:

[0042] Get the communication protocol of the current channel;

[0043] Determining a network protocol overhead time according to a communication protocol of the current channel;

[0044] Determining the processing capability of the mobile communication device according to the mobile user communication device information;

[0045] Determine the standard deviation of the round-trip delay based on the round-trip delays at multiple times in the current management cycle;

[0046] determining an actual round trip delay based on the round trip delay, the network protocol overhead time, and the processing capability of the mobile communication device;

[0047] A channel communication quality score is determined according to the standard deviation of the round-trip delay, the actual round-trip delay and the transmission performance parameter.

[0048] For example, the communication protocol of the current channel is obtained through professional network management equipment; different communication protocols require different times to establish a connection during data transmission. For example, the SCTP protocol is a communication protocol similar to TCP, which is more complicated in establishing connections, transmitting data, and handling errors, which may increase the round-trip delay. The network protocol overhead time is determined according to the type of communication protocol; different communication devices have different mobile communication device processing capabilities (such as central processing unit speed, memory size, and storage device read and write speed). If the device processing capability is weak, the time required to process data packets will increase, resulting in an increase in the round-trip delay; based on the round-trip delays measured at multiple times during the management cycle, the average value of the round-trip delays at multiple times is determined, and the standard deviation of the round-trip delay is determined based on the average value of the round-trip delays at multiple times; based on the round-trip delay, the network protocol overhead time and the mobile communication device processing capability, the actual round-trip delay is determined; based on the standard deviation of the round-trip delay, the actual round-trip delay and the transmission performance parameters, the communication quality of the channel is evaluated to determine the channel communication quality score.

[0049] According to an embodiment of the present invention, determining the actual round-trip delay according to the round-trip delay, the network protocol overhead time and the processing capability of the mobile communication device includes: determining the actual round-trip delay RTT of the mobile user's communication in the current management period according to formula (1): r ,

[0050]

[0051] Among them, RTT i is the round trip delay at the i-th moment of the current management cycle, Npot is the network protocol overhead time, Mdpc is the processing power of the mobile device, and Mdpc T is the preset threshold of the processing capability of the mobile device, n is the number of moments in the management cycle, i≤n, and both i and n are positive integers.

[0052] According to one embodiment of the present invention, in formula (1), Indicates the average round-trip delay in the current management cycle; is the difference between the average round-trip delay and the network protocol overhead time, indicating the actual round-trip delay when the influence of the network protocol overhead time is taken into account; It is the ratio of the preset mobile device processing capability threshold to the mobile device processing capability. The closer the ratio is to 1, the smaller the impact of the mobile device processing capability on the actual round-trip delay is. The mobile device processing capability and the round-trip delay are negatively correlated. For example, when the mobile device processing capability is stronger, the time required to process the data packet will be reduced, resulting in a reduction in the round-trip delay. It indicates the actual round-trip delay taking into account the influence of network protocol overhead time and the processing capability of mobile devices. The actual round-trip delay indicates the communication speed of mobile users in the current management cycle. The shorter the actual round-trip delay, the faster the communication speed.

[0053] In this way, the actual round-trip delay can be determined based on the round-trip delay, the network protocol overhead time and the processing capability of the mobile communication device. During the calculation process, the influence of the network protocol overhead time and the processing capability of the mobile device on the actual round-trip delay is fully considered, thereby improving the accuracy of the actual round-trip delay.

[0054] According to an embodiment of the present invention, determining a channel communication quality score according to the standard deviation of the round-trip delay, the actual round-trip delay and the transmission performance parameter includes: determining the channel communication quality score CCQ of the current management period according to formula (2): p ,

[0055]

[0056] Among them, if is the conditional function, β1, β2, β3, β4 and α are preset weights, D(RTT i ) is the standard deviation of the round-trip delay, RTT i is the round-trip time delay at the i-th moment of the current management cycle, RTT r is the actual round-trip time, RTT T The preset round-trip delay threshold, CUR T is the preset channel utilization threshold, CUR i is the channel utilization rate at the i-th moment of the current management cycle, STNR i is the signal-to-noise ratio at the i-th moment of the current management cycle, STNR T is a preset signal-to-noise ratio threshold, n is the number of moments in the management cycle, i≤n, and both i and n are positive integers.

[0057] According to one embodiment of the present invention, in formula (2), the conditional function The value of includes the following two cases, when it satisfies When the condition is met, it means that the round-trip delay at the i-th moment of the current management cycle is within an interval with the average round-trip delay in the management cycle as the center and the standard deviation of twice the preset multiple as the interval length, the value of the condition function is 1. When the condition is met, the value of the conditional function is 0. If the round-trip delay at the i-th moment of the current management cycle meets the above conditions, it means that the deviation between the round-trip delay at the i-th moment of the current management cycle and the mean is small, and the round-trip delay at the i-th moment of the current management cycle is relatively stable. Otherwise, it can be considered that the deviation between the round-trip delay at the i-th moment of the current management cycle and the mean is large, and the round-trip delay at this moment may be abnormal. It is the ratio of the number of moments when the round-trip delay at the i-th moment of the current management cycle is relatively stable to the number of moments in the management cycle. The larger the ratio is, the more stable the round-trip delay of the channel communication within the management cycle is, and the more stable the communication quality within the management cycle is.

[0058] According to one embodiment of the present invention, It is the relative difference between the preset round-trip delay threshold and the actual round-trip delay, indicating the communication speed of the management cycle. The larger the ratio, the shorter the actual round-trip delay of the channel communication and the faster the communication speed. It is the relative difference between the average value of channel utilization in the management period and the preset channel utilization threshold, indicating the network congestion of the communication channel in the management period. The larger the ratio, the higher the channel utilization in the management period is relative to the preset channel utilization. When the channel utilization is too high, network congestion or increased risk of network failure may occur. It is the relative difference between the average value of the signal-to-noise ratio in the management period and the preset signal-to-noise ratio threshold, indicating the signal quality status of the management period. The larger the ratio, the greater the difference between the average signal-to-noise ratio in the management period and the preset signal-to-noise ratio threshold, indicating that the average signal-to-noise ratio in the management period is higher. The higher the average signal-to-noise ratio, the better the signal quality status of the management period and the higher the communication quality.

[0059] In this way, the channel communication quality score can be determined based on the standard deviation of the round-trip delay, the actual round-trip delay and the transmission performance parameters. During the calculation process, the stability of the channel communication transmission is evaluated based on the standard deviation of the round-trip delay. Further, the communication speed, communication channel network congestion and signal quality are evaluated based on the actual round-trip delay, channel utilization and signal-to-noise ratio. The channel communication quality is comprehensively evaluated based on the four aspects of communication transmission stability, communication speed, communication channel network congestion and signal quality to determine the channel communication quality score, thereby improving the accuracy and comprehensiveness of the channel communication quality score.

[0060] According to an embodiment of the present invention, in step S104, weather forecast information for the date of the current management period is obtained.

[0061] For example, the wind force level, climate temperature and humidity information of the weather within the management period are obtained through network devices.

[0062] According to an embodiment of the present invention, in step S105, it is determined whether to switch the communication channel according to the channel communication quality score, the weather forecast information, the real-time location information of the mobile user and the user movement information.

[0063] According to one embodiment of the present invention, step S105 includes:

[0064] Determine the current weather information of the current management period according to the weather forecast information, wherein the current weather information includes: current wind force data, current humidity data and current temperature data;

[0065] Determine the predicted weather information for the next management period according to the weather forecast information, wherein the predicted weather information includes: predicted wind data, predicted humidity data and predicted temperature data;

[0066] Determine the user movement speed and the user movement direction according to the user movement information;

[0067] Obtaining base station location information of a communication base station;

[0068] Determine the predicted transmission distance and the transmission distance according to the base station location information, the real-time location information of the mobile user, the user moving speed and the user moving direction;

[0069] Whether to switch the communication channel is determined according to the channel communication quality score, the current weather information, the predicted weather information, the transmission distance and the predicted transmission distance.

[0070] For example, based on weather forecast information, the weather information of the current management period is determined. Weather factors will have different effects on the channel communication quality. For example, the stronger the wind, the more likely it is to affect the stability of the antenna, causing the pointing angle of the microwave antenna installed on the high tower to deviate from the optimal direction, thereby affecting the reception and transmission of signals. The increase in humidity will change the dielectric constant of the air, and the propagation path of the wireless signal may bend due to the influence of humidity, causing the angle and intensity of the signal arriving at the receiving end to change. The change in temperature will cause the physical properties of the transmission medium to change, affecting the transmission quality of the signal; based on the positioning system, the user's moving speed and user's moving direction are determined; through a special base station query tool, query nearby base stations to determine the location information of the communication base station; determine the transmission distance based on the base station location information and the user's real-time location information in the current management period, and predict the predicted transmission distance between the user and the base station in the next management period based on the base station location information, the real-time location information of the mobile user, the user's moving speed and the user's moving direction; determine whether to switch the communication channel based on the channel communication quality score, the current weather information, the predicted weather information, the transmission distance and the predicted transmission distance.

[0071] According to an embodiment of the present invention, determining whether to switch the communication channel according to the channel communication quality score, the current weather information, the predicted weather information, the transmission distance and the predicted transmission distance includes: obtaining a first switching condition A and a second switching condition B according to formula (3),

[0072]

[0073] Among them, CCQ p Score of the channel communication quality in the current management cycle, CCQ T is the channel communication quality score threshold, F f The predicted wind data for the next management period, H f is the predicted humidity data for the next management cycle, T f The predicted temperature data for the next management cycle, F p is the current wind data of the current management period, H p is the current humidity data of the current management cycle, T p is the current temperature data of the current management cycle, D i is the transmission distance at the i-th moment of the current management cycle, D f,i is the predicted transmission distance at the i-th moment of the next management cycle, n is the number of moments in the management cycle, i≤n, i and n are both positive integers;

[0074] When at least one of the first switching condition A and the second switching condition B is satisfied, it is determined that the communication channel needs to be switched.

[0075] According to one embodiment of the present invention, in the communication channel switching condition A, CCQ p <CCQ T The channel communication quality score of the current management period is less than the channel communication quality score threshold, indicating that the channel communication quality of the current management period is poor and needs to be switched.

[0076] According to one embodiment of the present invention, in the communication channel switching condition B, It is the ratio of the predicted wind data of the next management cycle to the current wind data of the current management cycle. The closer the ratio is to 1, the smaller the impact of wind data changes on the communication quality of the predicted channel. Wind data is negatively correlated with communication quality. For example, the larger the wind data, the more likely it is to affect the stability of the antenna. The pointing angle of the microwave antenna installed on the high tower deviates from the optimal direction, which affects the reception and transmission of signals and causes a decrease in communication quality. It is the ratio of the predicted humidity data of the next management cycle to the current humidity data of the current management cycle. The closer the ratio is to 1, the smaller the impact of humidity data changes on the predicted channel communication quality. Humidity data is negatively correlated with communication quality. For example, the larger the humidity data, the greater the probability that the dielectric constant of the air changes. The propagation path of the wireless signal may bend due to the influence of humidity, resulting in changes in the angle and strength of the signal reaching the receiving end, causing a decrease in communication quality. It is the relative difference between the predicted temperature data of the next management cycle and the current temperature data of the current management cycle. The larger the ratio is, the greater the difference between the predicted temperature data and the current temperature data is. The difference between the predicted temperature data and the current temperature data is negatively correlated with the communication quality. When the predicted temperature is too high, the atmospheric waveguide phenomenon will increase in high temperature weather. The atmospheric waveguide is an abnormal atmospheric structure that will affect the propagation path and range of electromagnetic waves in the atmosphere, causing a decrease in communication quality. When the predicted temperature is too low, it will affect the performance of communication equipment, causing a decrease in communication quality. It is the ratio of the average value of the predicted transmission distance in the next management cycle to the average value of the transmission distance in the current management cycle. The larger the ratio is, the longer the predicted transmission distance is. The predicted transmission distance is negatively correlated with the communication quality. It indicates the predicted channel communication quality score of the next management period according to the weather conditions and transmission distance of the next management period. It indicates that the predicted channel communication quality score of the next management period is less than the channel communication quality score threshold, indicating that the predicted channel communication quality of the next management period is poor and the communication channel needs to be switched in advance.

[0077] According to an embodiment of the present invention, when at least one of the first switching condition A and the second switching condition B is satisfied, it is determined that the communication channel needs to be switched.

[0078] In this way, it is possible to determine whether to switch the communication channel based on the channel communication quality score, current weather information, predicted weather information, transmission distance and predicted transmission distance. During the calculation process, the impact of wind data, humidity data, temperature data and transmission distance on the channel communication quality can be accurately analyzed, and based on the impact of the above data on the channel communication quality, the predicted channel communication quality status for the next cycle can be determined. Furthermore, based on the channel communication quality score of the current management cycle and the predicted communication quality score of the next management cycle, it is determined whether to switch the communication channel, thereby improving the efficiency and accuracy of communication channel switching.

[0079] According to an embodiment of the present invention, in step S106, when the communication channel needs to be switched, the channel to be switched is determined according to the mobile user communication device information.

[0080] According to one embodiment of the present invention, step S106 includes:

[0081] Determining, based on the mobile user communication device information, a mobile communication standard supported by the device and a mobile communication frequency band supported by the device;

[0082] Determining a selectable channel according to a mobile communication standard supported by the device and a mobile communication frequency band supported by the device;

[0083] Obtain channel utilization and signal-to-noise ratio of selectable channels;

[0084] A channel to be switched is determined according to channel utilization rates and signal-to-noise ratios of a plurality of selectable channels.

[0085] For example, the mobile communication standards and mobile communication frequency bands supported by the device, 4G frequency bands (such as 2100MHz, 2600MHz) and 5G frequency bands (such as n41, n78) can be determined through the device's own system or network operator; the communication standards and communication frequency bands supported by each channel are also different, and the selectable channels are determined based on the mobile communication standards and mobile communication frequency bands supported by the device; the channel utilization and signal-to-noise ratio of the selectable channels are obtained through the network device management tool and the management page of the wireless router; the selectable channels with channel utilization within the preset range and relatively high signal-to-noise ratio are determined as the channels to be switched.

[0086] According to the intelligent communication switching method based on artificial intelligence of the embodiment of the present invention, the transmission performance parameters and user data information of the channel can be accurately obtained, and the channel communication quality can be comprehensively evaluated according to the transmission performance parameters to determine the channel communication quality score. Further, according to the channel communication quality score and the influence of weather information and user location information on the channel communication quality, it is determined whether to switch the communication channel, and the channel to be switched is determined according to the user equipment information, thereby improving the efficiency and accuracy of the communication channel switching and ensuring the stability of the channel communication quality. When determining the actual round-trip delay, the actual round-trip delay can be determined according to the round-trip delay, the network protocol overhead time and the processing capacity of the mobile communication device. In the calculation process, the influence of the network protocol overhead time and the processing capacity of the mobile device on the actual round-trip delay is fully considered, thereby improving the accuracy of the actual round-trip delay. When determining the channel communication quality score, the channel communication quality score can be determined based on the standard deviation of the round-trip delay, the actual round-trip delay and the transmission performance parameters. During the calculation process, the stability of the channel communication transmission is evaluated based on the standard deviation of the round-trip delay. Further, the communication speed, the communication channel network congestion condition and the signal quality condition are evaluated based on the actual round-trip delay, the channel utilization rate and the signal-to-noise ratio. The channel communication quality condition is comprehensively evaluated based on the four aspects of communication transmission stability, communication speed, communication channel network congestion condition and signal quality condition to determine the channel communication quality score, thereby improving the accuracy and comprehensiveness of the channel communication quality score. When determining whether to switch the communication channel, it can be determined based on the channel communication quality score, current weather information, predicted weather information, transmission distance and predicted transmission distance. During the calculation process, the influence of wind data, humidity data, temperature data and transmission distance on the channel communication quality can be accurately analyzed, and based on the influence of the above data on the channel communication quality, the predicted channel communication quality status of the next cycle is determined. Furthermore, based on the channel communication quality score of the current management cycle and the predicted communication quality score of the next management cycle, it is determined whether to switch the communication channel, thereby improving the efficiency and accuracy of communication channel switching.

[0087] Figure 2 A block diagram of an intelligent communication switching system based on artificial intelligence according to an embodiment of the present invention is exemplarily shown, and the system includes:

[0088] A transmission performance parameter acquisition module is used to acquire the transmission performance parameters of the channel in real time through a network management tool during the current management cycle, wherein the transmission performance parameters include: round-trip delay, channel utilization and signal-to-noise ratio;

[0089] A module for acquiring user data information is used to acquire user data information of mobile users in the current management cycle, wherein the user data information includes: mobile user communication device information, mobile user real-time location information and user movement information;

[0090] A channel communication quality scoring module, used to determine a channel communication quality score according to the transmission performance parameter and the user data information;

[0091] The weather forecast information acquisition module is used to acquire the weather forecast information for the date of the current management cycle;

[0092] A communication channel switching judgment module is used to determine whether to switch the communication channel according to the channel communication quality score, the weather forecast information, the real-time location information of the mobile user and the user movement information;

[0093] The communication channel switching module is used to determine the channel to be switched according to the mobile user communication device information when the communication channel needs to be switched.

[0094] The present invention may be a method, an apparatus, a system and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for executing various aspects of the present invention.

[0095] It should be understood by those skilled in the art that the embodiments of the present invention described above and shown in the accompanying drawings are only examples and do not limit the present invention. The purpose of the present invention has been fully and effectively achieved. The functional and structural principles of the present invention have been demonstrated and explained in the embodiments, and the embodiments of the present invention may be deformed or modified in any way without departing from the principles.

Claims

1. An intelligent communication switching method based on artificial intelligence, characterized in that: include: In the current management cycle, the transmission performance parameters of the channel are obtained in real time through the network management tool, wherein the transmission performance parameters include: round-trip delay, channel utilization and signal-to-noise ratio; In the current management cycle, user data information of the mobile user is obtained, wherein the user data information includes: mobile user communication device information, mobile user real-time location information and user movement information; Determining a channel communication quality score according to the transmission performance parameter and the user data information; Get the weather forecast information for the current management period; Determining whether to switch the communication channel according to the channel communication quality score, the weather forecast information, the real-time location information of the mobile user and the user movement information; In the case where the communication channel needs to be switched, the channel to be switched is determined according to the mobile user communication device information.

2. The intelligent communication switching method based on artificial intelligence according to claim 1 is characterized in that: Determining a channel communication quality score according to the transmission performance parameter and the user data information includes: Get the communication protocol of the current channel; Determining a network protocol overhead time according to a communication protocol of the current channel; Determining the processing capability of the mobile communication device according to the mobile user communication device information; Determine the standard deviation of the round-trip delay based on the round-trip delays at multiple times in the current management cycle; determining an actual round trip delay based on the round trip delay, the network protocol overhead time, and the processing capability of the mobile communication device; A channel communication quality score is determined according to the standard deviation of the round-trip delay, the actual round-trip delay and the transmission performance parameter.

3. The intelligent communication switching method based on artificial intelligence according to claim 2 is characterized in that: Determining an actual round trip delay according to the round trip delay, the network protocol overhead time, and the processing capability of the mobile communication device includes: According to the formula Determine the actual round-trip time (RTT) of the mobile user's communication in the current management period r , where RTT i is the round trip delay at the i-th moment of the current management cycle, Npot is the network protocol overhead time, Mdpc is the processing power of the mobile device, and Mdpc T is the preset threshold of the processing capability of the mobile device, n is the number of moments in the management cycle, i≤n, and both i and n are positive integers.

4. The method for intelligent communication switching based on artificial intelligence according to claim 2, characterized in that: Determining a channel communication quality score according to the standard deviation of the round-trip delay, the actual round-trip delay, and the transmission performance parameter includes: According to the formula Determine the channel communication quality score CCQ of the current management period p , where if is a conditional function, β1, β2, β3, β4 and α are preset weights, and D(RTT i ) is the standard deviation of the round-trip delay, RTT i is the round-trip delay at the i-th moment of the current management cycle, ETT r is the actual round-trip time, RTT T The preset round-trip delay threshold, CUR T is the preset channel utilization threshold, CUR i is the channel utilization rate at the i-th moment of the current management cycle, STNR i is the signal-to-noise ratio at the i-th moment of the current management cycle, STNR T is a preset signal-to-noise ratio threshold, n is the number of moments in the management cycle, i≤n, and both i and n are positive integers.

5. The intelligent communication switching method based on artificial intelligence according to claim 1 is characterized in that: Determining whether to switch the communication channel according to the channel communication quality score, the weather forecast information, the real-time location information of the mobile user and the user movement information includes: Determine the current weather information of the current management period according to the weather forecast information, wherein the current weather information includes: current wind force data, current humidity data and current temperature data; Determine the predicted weather information for the next management period according to the weather forecast information, wherein the predicted weather information includes: predicted wind data, predicted humidity data and predicted temperature data; Determine the user movement speed and the user movement direction according to the user movement information; Obtaining base station location information of a communication base station; Determine the predicted transmission distance and the transmission distance according to the base station location information, the real-time location information of the mobile user, the user moving speed and the user moving direction; Whether to switch the communication channel is determined according to the channel communication quality score, the current weather information, the predicted weather information, the transmission distance and the predicted transmission distance.

6. The method for intelligent communication switching based on artificial intelligence according to claim 5, characterized in that: Determining whether to switch the communication channel according to the channel communication quality score, the current weather information, the predicted weather information, the transmission distance, and the predicted transmission distance includes: According to the formula Obtain a first switching condition A and a second switching condition B, wherein CCQ p Score the channel communication quality of the current management cycle, CCQ T is the channel communication quality score threshold, F f The predicted wind data for the next management period, H f is the predicted humidity data for the next management cycle, T f The predicted temperature data for the next management cycle, F p is the current wind data of the current management period, H p is the current humidity data of the current management cycle, T p is the current temperature data of the current management cycle, D i is the transmission distance at the i-th moment of the current management cycle, D f,i is the predicted transmission distance at the i-th moment of the next management cycle, n is the number of moments in the management cycle, i≤n, i and n are both positive integers; When at least one of the first switching condition A and the second switching condition B is satisfied, it is determined that the communication channel needs to be switched.

7. The method for intelligent communication switching based on artificial intelligence according to claim 1, characterized in that: In the case where the communication channel needs to be switched, determining the channel to be switched according to the mobile user communication device information includes: Determining, based on the mobile user communication device information, a mobile communication standard supported by the device and a mobile communication frequency band supported by the device; Determining a selectable channel according to a mobile communication standard supported by the device and a mobile communication frequency band supported by the device; Obtain channel utilization and signal-to-noise ratio of selectable channels; A channel to be switched is determined according to channel utilization rates and signal-to-noise ratios of a plurality of selectable channels.

8. An intelligent communication switching system based on artificial intelligence, characterized in that: include: A transmission performance parameter acquisition module is used to acquire the transmission performance parameters of the channel in real time through a network management tool during the current management cycle, wherein the transmission performance parameters include: round-trip delay, channel utilization and signal-to-noise ratio; A module for acquiring user data information is used to acquire user data information of mobile users in the current management cycle, wherein the user data information includes: mobile user communication device information, mobile user real-time location information and user movement information; A channel communication quality scoring module, used to determine a channel communication quality score according to the transmission performance parameter and the user data information; The weather forecast information acquisition module is used to acquire the weather forecast information for the date of the current management cycle; A communication channel switching judgment module is used to determine whether to switch the communication channel according to the channel communication quality score, the weather forecast information, the real-time location information of the mobile user and the user movement information; The communication channel switching module is used to determine the channel to be switched according to the mobile user communication device information when the communication channel needs to be switched.

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