Intelligent traffic management method and system for mobile IoT devices

Abstract

The present invention relates to the field of wireless communication technology, and provides a method and system for intelligent traffic management of a mobile Internet of Things device. When a user terminal scans a QR code label on the mobile Internet of Things device and initiates a binding request to bind to the mobile Internet of Things device, the public account QR code of the mobile Internet of Things device is displayed to the user terminal. After the user terminal binds the mobile Internet of Things device, the method and system respond to the device management request of the device management control on the touch public account page, and display the control homepage of the mobile Internet of Things device for the user to purchase different types of multiple traffic packages supported by various types of communication networks. The method monitors the traffic usage of multiple types of effective traffic packages supported by each type of communication network, and recommends traffic packages suitable for the user of the user terminal to the user terminal on the public account page according to the numerical distribution of traffic usage, thereby improving the efficiency of traffic usage and management, reducing errors, and improving the user experience of the mobile Internet of Things device.

Description

Technical Field

[0001] The present invention relates to the technical field of mobile telecommunication services in wireless communication networks, and in particular to a method and system for intelligent traffic management of mobile Internet of Things devices. Background Art

[0002] An IoT card is a communication tool designed specifically for IoT devices, allowing them to send and receive data over mobile networks. For example, an IoT card connects to the internet via mobile communication networks (such as 2G, 3G, 4G, and 5G), enabling IoT devices to remotely transmit data, receive commands, or upload data. IoT cards are primarily used for data transmission, rather than traditional phone calls or text messages. Within mobile network coverage, IoT devices can connect, providing not only convenient data transmission services for the Internet of Things (IIoT) but also communication services for IoT devices to access the internet. To implement the communication capabilities of IoT cards, there are currently mobile IoT devices equipped with IoT cards. These cards connect data-using devices wirelessly connected to the mobile IoT device to the internet via mobile communication networks, enabling data transmission. Typically, mobile IoT devices support the communication networks of multiple telecom operators. For example, a mobile IoT device can support mobile networks, China Unicom networks, and China Telecom networks. After binding with a mobile IoT device, a user can access the device's homepage to purchase data packages, manage data usage, and manage the device. Because mobile IoT devices support the networks of multiple telecom operators, each of which offers a variety of different data packages, selecting and managing these packages becomes a complex task. For example, users must determine the type and quantity of data packages to purchase, which types of data packages are suitable for their needs, which purchased and active data packages need renewal, which have been deprecated, and which active data packages offer the fastest network speeds. Currently, solutions to these problems rely on user self-management and regular customer communication, but these approaches are inefficient, prone to errors, and detrimental to improving the user experience of mobile IoT devices.

[0003] In summary, existing traffic usage and management technologies for mobile IoT devices have technical problems such as low efficiency, prone to errors, and not conducive to improving the user experience of mobile IoT devices. Summary of the Invention

[0004] In response to the above-mentioned deficiencies in the prior art, the present invention provides a method and system for intelligent traffic management of mobile IoT devices to improve the efficiency of traffic usage and management, reduce errors, and enhance the user experience of mobile IoT devices.

[0005] In a first aspect, the present invention provides a method for intelligent traffic management of a mobile IoT device, comprising:

[0006] When a user terminal scans the QR code label on the mobile IoT device and initiates a binding request to bind with the mobile IoT device, the public account QR code of the mobile IoT device is displayed to the user terminal to guide the user terminal to follow the public account of the mobile IoT device, and the device management control is set on the public account page of the mobile IoT device;

[0007] After the mobile IoT device is bound to the user terminal, in response to a device management request by touching the device management control, a control homepage of the mobile IoT device is displayed for the user to select and purchase different types of multiple traffic packages supported by multiple types of communication networks of communication operators;

[0008] Monitor the traffic usage of multiple types of valid traffic packages supported by each type of communication network, and recommend traffic packages suitable for user use to the user terminal on the official account page of the mobile IoT device based on the numerical distribution of the traffic usage.

[0009] In a second aspect, the present invention provides a traffic intelligent management system for mobile IoT devices, comprising:

[0010] The server, when running the computer program, implements any of the above-mentioned methods for intelligent traffic management of mobile IoT devices;

[0011] A mobile IoT device is connected to various types of communication networks through a SIM card; the SIM card is soldered to the mainboard of the mobile IoT device and electrically connected to the mainboard of the mobile IoT device, and the mainboard is communicatively connected to the server.

[0012] Compared with the prior art, the present invention has the following beneficial effects:

[0013] The present invention provides a method and system for intelligent traffic management of a mobile Internet of Things device. When a user terminal scans a QR code label on a mobile Internet of Things device and initiates a binding request to bind with the mobile Internet of Things device, the QR code of the official account of the mobile Internet of Things device is displayed to the user terminal to guide the user terminal to pay attention to the official account of the mobile Internet of Things device. The official account page of the mobile Internet of Things device is provided with a device management control. After the user terminal binds the mobile Internet of Things device, the method and system respond to the device management request of touching the device management control and display the control homepage of the mobile Internet of Things device for the user to purchase different types of multiple traffic packages supported by multiple types of communication networks of communication operators, monitor the traffic usage of multiple types of effective traffic packages supported by each type of communication network, and recommend traffic packages suitable for the user terminal to the user terminal on the official account page of the mobile Internet of Things device according to the numerical distribution of the traffic usage, thereby improving the efficiency of traffic usage and management, reducing errors, and improving the user experience of the mobile Internet of Things device. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 This is a flow chart of a method for intelligent traffic management of a mobile IoT device according to an embodiment of the present invention;

[0015] Figure 2 This is another flow chart of the method for intelligent traffic management of a mobile IoT device according to an embodiment of the present invention;

[0016] Figure 3 This is a schematic diagram of a configuration of multiple dynamic adjustment parameters according to an embodiment of the present invention;

[0017] Figure 4 This is a schematic diagram of the architecture of the intelligent traffic management system for mobile IoT devices according to an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0019] See also Figures 1-4, an embodiment of the present invention provides a method and system for intelligent traffic management of a mobile Internet of Things device, and the method for intelligent traffic management of a mobile Internet of Things device includes step S101, step S102, and step S103. Among them, step S101, step S102, and step S103 can be run on a server to implement the method for intelligent traffic management of the mobile Internet of Things device. The intelligent traffic management system for mobile Internet of Things devices includes: a server and a mobile Internet of Things device, when the server runs a computer program, the method for intelligent traffic management of the mobile Internet of Things device is implemented; the mobile Internet of Things device accesses various types of communication networks through a SIM card; the SIM card is soldered to the mainboard of the mobile Internet of Things device and is electrically connected to the mainboard of the mobile Internet of Things device, and the mainboard is communicatively connected to the server.

[0020] See also Figure 1 , step S101, when the user terminal scans the QR code label on the mobile IoT device and initiates a binding request to bind with the mobile IoT device, the public account QR code of the mobile IoT device is displayed to the user terminal to guide the user of the user terminal to follow the public account of the mobile IoT device, and the public account page of the mobile IoT device sets the device management control. It should be noted that the QR code label can correspond to the identity information of the SIM card in the mobile IoT device, and the SIM card can integrate the traffic services of multiple communication operators. The SIM card is connected to various types of communication networks and is soldered to the motherboard of the mobile IoT device, electrically connected to the motherboard of the mobile IoT device, and the motherboard is communicatively connected to the server. In this embodiment, when the user terminal scans the QR code label on the mobile IoT device and initiates a binding request to bind with the mobile IoT device, the public account QR code of the mobile IoT device is displayed to the user terminal to guide the user on the user terminal to follow the public account of the mobile IoT device. The public account page of the mobile IoT device sets a device management control to facilitate the user to bind with the mobile IoT device and enter the device management homepage for device management and traffic management.

[0021] In step S102, after the user binds the mobile IoT device, in response to a device management request in response to touching the device management control, the user displays a control homepage for the mobile IoT device, allowing the user to select and purchase various types of traffic packages supported by various types of communication networks of the communication operator. It should be noted that in the prior art, to implement traffic management and device management for the mobile IoT device, the user typically needs to install the mobile IoT device app, then log in to the mobile IoT device app to search for the device management page and traffic management page. This operation is cumbersome and inefficient, and is not conducive to user use. In this embodiment, after the user side binds the mobile IoT device, when it is necessary to perform device management and traffic management on the mobile IoT device, the user only needs to enter the official account page of the mobile IoT device, set the device management control on the official account page, and the user can initiate a device management request by touching the device management control set on the official account page. The server responds to the device management request of touching the device management control and displays the control homepage of the mobile IoT device. The user can purchase different types of multiple traffic packages supported by various types of communication networks of the communication operator on the control homepage of the mobile IoT device, and manage the mobile IoT device. It is easy to use and simple to operate, which can greatly improve the efficiency of device management and traffic management.

[0022] Step S103 monitors the traffic usage of multiple types of effective traffic packages supported by each type of communication network, and recommends traffic packages suitable for the user end user to the user end on the official account page of the mobile IoT device based on the numerical distribution of the traffic usage. It should be noted that since the mobile IoT device supports the communication networks of multiple communication operators, and the communication network of each communication operator will launch multiple traffic packages of different types, it becomes a complicated matter for users to select and manage the traffic of these traffic packages. For example, how many types and quantities of traffic packages need to be purchased, which types of traffic packages are suitable for users, which purchased effective traffic packages need to be renewed, which ones have been abandoned, and which effective traffic packages have fast network speeds. In this embodiment, by monitoring the traffic usage of multiple types of effective traffic packages supported by each type of communication network, based on the numerical distribution of the traffic usage, for example, based on the monthly traffic numerical distribution of different traffic packages, traffic packages adapted for the use of the user-end user are recommended to the user-end on the official account page of the mobile Internet of Things device, thereby automatically matching a traffic package that meets the user's usage habits, and actively recommending it to the user-end user through the official account page of the mobile Internet of Things device, which can not only help users save traffic selection time, but also actively recommend more cost-effective traffic packages to the user-end users based on objective historical traffic usage data, thereby reducing manual customers and reducing operating costs.

[0023] In some preferred embodiments, when a user-end user inputs a consultation on device management issues through the official account page of the mobile IoT device, the AI ​​customer service analyzes the consultation on device management issues and provides a consultation answer with preset words. When a user-end user inputs a consultation on traffic issues through the official account page of the mobile IoT device, the AI ​​customer service analyzes the consultation on traffic issues and provides a consultation answer with preset words. It should be noted that in the prior art, different communication operators usually set up AI customer service on their own APP or official account when providing communication technology services to users. For example, China Mobile has its own AI customer service, and China Unicom has its own AI customer service. However, when different communication operators rely on the mobile IoT device to provide different types of multiple traffic packages supported by different types of communication networks, the application system of the existing mobile IoT device cannot automatically answer inquiries related to different types of multiple traffic packages supported by different types of communication networks provided by different communication operators. In this embodiment, when a user-end user inputs a device management problem consultation through the official account page of the mobile Internet of Things device, the AI ​​customer service analyzes the device management problem consultation and can automatically provide a consultation answer with a preset wording. When a user-end user inputs a traffic problem consultation through the official account page of the mobile Internet of Things device, the AI ​​customer service analyzes the traffic problem consultation and can automatically provide a consultation answer with a preset wording. This not only responds to user questions in a timely manner and solves user problems, but also reduces manual customer service and reduces operating costs.

[0024] In some preferred embodiments, based on the numerical distribution of traffic usage, a traffic package suitable for the user of the user end is recommended to the user end on the official account page of the mobile IoT device, including: configuring a numerical distribution node for the traffic usage of the traffic package, and configuring a traffic package recommendation scheme for the numerical distribution node for the traffic usage; monitoring the validity period of all effective traffic packages, and recommending a traffic package suitable for the user of the user end on the official account page of the mobile IoT device according to the traffic package recommendation scheme before the effective traffic package expires. It should be noted that in this embodiment, by configuring the numerical distribution node for the traffic usage of the traffic package, and configuring a traffic package recommendation scheme for the numerical distribution node for the traffic usage, monitoring the validity period of all effective traffic packages, and recommending a traffic package suitable for the user of the user end on the official account page of the mobile IoT device according to the traffic package recommendation scheme before the effective traffic package expires, a traffic package suitable for the user of the user end is automatically matched, and the traffic package is actively recommended to the user of the user end through the official account page of the mobile IoT device, which not only helps the user save time in traffic selection, but also actively recommends a more cost-effective traffic package to the user of the user end based on objective historical traffic usage data, thereby reducing manual customers and reducing operating costs.

[0025] In some preferred embodiments, based on the numerical distribution of the traffic usage, a traffic package adapted to the user end is recommended to the user end on the official account page of the mobile IoT device, including: using the numerical values ​​of traffic usage with different numerical distributions and traffic package recommendation cases adapted to different traffic usage values ​​to train an intelligent traffic package recommendation model to obtain a trained intelligent traffic package recommendation model; inputting the numerical value of the traffic usage of the effective traffic package by the user end into the intelligent traffic package recommendation model, and the intelligent traffic package recommendation model intelligently recommends a traffic package adapted to the user end based on the numerical value of the traffic usage of the effective traffic package by the user end. It should be noted that, in this embodiment, the intelligent traffic package recommendation model is trained by utilizing the numerical values ​​of traffic usage with different numerical distributions and traffic package recommendation cases adapted to different traffic usage values, and the numerical value of traffic usage of the user end for the effective traffic package is input into the trained intelligent traffic package recommendation model. The intelligent traffic package recommendation model intelligently recommends traffic packages adapted to the user end user based on the numerical value of traffic usage of the effective traffic package by the user end, thereby automatically calculating the traffic package that meets the user's usage habits, and actively recommending it to the user end user through the official account page of the mobile IoT device. This can not only help users save time on traffic selection, but also actively recommend more cost-effective traffic packages to the user end user based on objective historical traffic usage data, thereby reducing manual customers and lowering operating costs.

[0026] In some preferred embodiments, after the current user terminal binds the mobile IoT device, when other user terminals scan the QR code label on the mobile IoT device and initiate a binding request to bind with the mobile IoT device, the public account QR code of the mobile IoT device is displayed to the other user terminals to guide the other user terminals to follow the public account of the mobile IoT device. It should be noted that in this embodiment, by supporting multiple user terminals to bind the mobile IoT device, the different needs of teams or family members sharing the mobile IoT device are met, thereby improving the adaptability of traffic management of the mobile IoT device.

[0027] In some preferred embodiments, the control homepage of the mobile IoT device includes a device adding control. When the device adding control is touched, the control homepage of the mobile IoT device is controlled to enter the device adding control page so that multiple devices requiring networking can be added. Furthermore, the control homepage of the mobile IoT device includes a traffic recharge control. When the traffic recharge control is touched, the control homepage of the mobile IoT device is controlled to enter the traffic package purchasing page so that the user can purchase multiple traffic packages of different types supported by multiple types of communication networks of the communication operator. Furthermore, the control homepage of the mobile IoT device includes a purchased package management control. When the purchased package management control is touched, the control homepage of the mobile IoT device is controlled to enter the effective traffic package management page so that the user can manage all effective traffic packages. It should be noted that in this embodiment, the control homepage of the mobile IoT device includes a device adding control. When the device adding control is touched, the control homepage of the mobile IoT device is controlled to enter the device adding control page so that the user can add multiple devices requiring networking to meet communication and data transmission needs. In addition, in this embodiment, the control homepage of the mobile IoT device includes a traffic recharge control. When the traffic recharge control is touched, the control homepage of the mobile IoT device is controlled to enter a traffic package purchase page, so that users can purchase multiple traffic packages of different types supported by multiple types of communication networks of communication operators, providing users with a traffic package purchase interface. In addition, in this embodiment, the control homepage of the mobile IoT device includes a purchased package management control. When the purchased package management control is touched, the control homepage of the mobile IoT device is controlled to enter an effective traffic package management page, so that users can manage all effective traffic packages, thereby facilitating users to query traffic usage, query the validity period of effective traffic packages, query types, etc.

[0028] See also Figure 2 In some other preferred embodiments, the method for intelligent traffic management of mobile IoT devices may also include step S104, step S105 and step S106.

[0029] Step S104 configures multiple dynamic adjustment parameters, including the communication network type, the effective traffic package type, and the signal strength threshold for triggering network switching. Each type of communication network supports multiple types of effective traffic packages, each corresponding to a different data transmission rate based on the remaining traffic volume, with a larger remaining traffic volume corresponding to a faster data transmission rate. The communication network type may refer to different types of communication networks provided by different communication network operators. For example, the Unicom network provided by China Unicom, or the Telecom network provided by China Telecom. It is understood that due to differences in base station configurations and related communication technologies among different communication network operators, the signal strength received by the mobile IoT device in the current usage environment may vary. Furthermore, the communication network type may refer to communication networks of different standards, such as 3G, 4G, and 5G networks. Communication networks of different standards have significant differences in coverage and transmission speed in different environments. Considering the communication network type ensures that the mobile IoT device can select the optimal network connection in a specific environment. Furthermore, different effective traffic packages provide different data transmission rates based on the remaining traffic volume, allowing the data rate to be dynamically adjusted based on the user's current traffic usage, optimizing the user experience. In this embodiment, since each type of active traffic package corresponds to a different data transmission rate based on the remaining traffic, a larger remaining traffic corresponds to a faster data transmission rate. This provides guidance for traffic usage of active traffic packages, encouraging the full use of multiple types of active traffic packages. Furthermore, the signal strength threshold for triggering network switching, as a trigger condition for network switching, can prevent frequent and ineffective device switching and ensure stable data transmission.

[0030] See also Figure 3 Exemplarily, the multiple dynamic adjustment parameters include multiple types of communication networks, such as a Type 1 communication network, a Type 2 communication network, ..., a Type X communication network. Each type of communication network supports multiple types of effective traffic packages. For example, a Type 1 communication network supports N types of effective traffic packages, a Type 2 communication network supports M types of effective traffic packages, ..., a Type X communication network supports H types of effective traffic packages. Wherein, X, N, M, and H are all positive integers.

[0031] In some preferred embodiments, each type of communication network is connected to the mobile IoT device via a corresponding SIM card. The SIM card is soldered to the mobile IoT device's mainboard and electrically connected to the mainboard. Furthermore, the SIM card reports remaining data on the multiple types of valid data packages supported by the communication network connected to the mobile IoT device to the mobile IoT device's server via the mainboard. The mobile IoT device's server stores and manages the reported remaining data. For example, the stored remaining data can be queried and reported. It is important to note that mobile IoT devices are not simply wireless network connection devices that users can carry around. As important IoT devices, their essential function is to provide data transmission services to nearby communication entities requiring wireless communication. For example, they can provide data transmission services to nearby outdoor display screens. Therefore, mobile IoT devices have a wide range of applications and complex environments, which also poses a risk of SIM card theft. In this embodiment, by directly soldering the SIM card to the mainboard of the mobile IoT device, the possibility of poor contact is reduced, thereby improving the stability and reliability of the device. In particular, soldered SIM cards are difficult to remove, thus preventing SIM card theft and increasing SIM card security. It should be noted that in this embodiment, the mainboard reports the communication network information and remaining data of the SIM card to the server in real time, allowing the server to promptly understand the usage status of each SIM card and facilitate dynamic adjustment of data transmission rates and network types. The remaining data stored and managed by the server can provide user query services and facilitate the server to analyze user data usage habits and further optimize network services.

[0032] Step S105, monitor the signal strength of different types of communication networks in the current use environment of the mobile IoT device, and query the traffic remaining of multiple types of effective traffic packages supported by each type of communication network. The current use environment of the mobile IoT device can be a set area range of the location of the mobile IoT device. When the mobile IoT device does not exceed the set area range, the monitoring is stopped after a single monitoring of the signal strength of different types of communication networks in the current use environment of the mobile IoT device; when the mobile IoT device exceeds the set area range, the monitoring of the signal strength of different types of communication networks in the current use environment of the mobile IoT device is restarted. In addition, when querying the traffic remaining of multiple types of effective traffic packages supported by each type of communication network, it can include: presetting a query period for querying the traffic remaining of multiple types of effective traffic packages supported by each type of communication network; and within the query period, a single query is performed on the traffic remaining of multiple types of effective traffic packages supported by each type of communication network.

[0033] It should be noted that by monitoring signal strength and querying traffic reserves, we can accurately understand the network status of mobile IoT devices in the current environment and the user's data usage, thereby ensuring that mobile IoT devices can adjust network connections and data transmission strategies in a timely manner and optimize performance according to the latest environmental conditions and user needs.

[0034] It's also important to note that when a mobile IoT device is used with its user, the signal strength of the communication network typically doesn't change much unless the device has moved beyond a pre-defined range. Therefore, stopping monitoring after a single pass can reduce the device's energy consumption and radio spectrum usage, while also alleviating the server's data processing burden. Once the device moves beyond the pre-defined range, it may face significant changes in signal strength, communication network type, and other factors. Resuming signal strength monitoring allows for rapid adaptation to the new environment, ensuring stable and efficient data transmission.

[0035] It should also be noted that when querying the traffic remaining of multiple types of valid traffic packages supported by each type of communication network, by reasonably setting the query cycle, server resource consumption can be reduced and server operating efficiency can be improved. This is particularly important for maintaining the device's persistent online status and ensuring the consistency of the user experience. In addition, selecting an appropriate query cycle can ensure that the acquired data sufficiently reflects the current network usage status while avoiding data redundancy or delays caused by overly frequent queries, thus achieving a good balance between data accuracy and timeliness. In addition, reducing unnecessary data query requests helps reduce network load, especially in areas with poor network conditions or dense users, which has positive significance for the rational allocation and utilization of overall network resources. Users can enjoy smoother and more reliable network services, and have a better experience whether downloading large data or playing high-definition videos.

[0036] Step S106, based on the monitored signal strengths of different types of communication networks, the signal strength threshold for triggering network switching, and the query results of the traffic margins of the multiple types of effective traffic packages, calculate the communication network and data transmission rate that are adapted to the current use environment of the mobile IoT device to support the current data transmission. The calculation of the communication network and data transmission rate that are adapted to the current use environment of the mobile IoT device to support the current data transmission may include: comparing the monitored signal strengths of different types of communication networks with the signal strength threshold for triggering network switching to obtain the adapted signal strength of the communication network closest to the signal strength threshold for triggering network switching, and automatically selecting the communication network corresponding to the adapted signal strength to support the current data transmission; numerically comparing the query results of the traffic margins of multiple types of effective traffic packages supported by the communication network providing the current data transmission service to obtain the largest traffic margin among the multiple types of effective traffic packages, and matching the data transmission rate corresponding to the largest traffic margin to support the current data transmission. Furthermore, when there are at least two signal strengths that are closest to the signal strength threshold for triggering network switching, any one of the at least two signal strengths is randomly and automatically selected to support the current data transmission. Furthermore, when at least two of the multiple types of valid traffic packages have the largest traffic margins, any data transmission rate corresponding to the at least two largest traffic margins is randomly matched to support the current data transmission. Furthermore, before the data transmission rate corresponding to the largest traffic margin is matched to support the current data transmission, a communication network corresponding to the adapted signal strength is automatically selected to support the current data transmission at a default data transmission rate.

[0037] It should be noted that by comprehensively considering the query results of signal strength, network switching threshold, and data headroom, it is possible to ensure that the selected communication network and data transmission rate are most suitable for the current usage environment and user needs, improve the speed and stability of data transmission, and enhance the user's network experience. In addition, by comparing the signal strength of each monitored communication network with the signal strength threshold that triggers network switching, the network that best matches the current environment can be accurately selected, ensuring the stability and efficiency of data transmission. By comparing the data headroom of different traffic packages, the data transmission rate corresponding to the maximum data headroom is selected, and the optimal data transmission rate is allocated, so that all valid traffic packages can be fully utilized. The network that best matches the current environment and the optimal data transmission rate can ensure the stability and efficiency of data transmission, allowing users to enjoy smoother and more reliable network services, whether browsing the web, watching videos, or downloading files, all of which can provide a more satisfactory experience. It is understandable that the communication network closest to the signal strength threshold that triggers network switching can refer to a communication network whose signal strength difference with the signal strength threshold that triggers network switching is within a smaller preset value range. In real-world applications, mobile IoT devices may simultaneously detect several communication networks with similar signal strengths. When the signal strengths of several communication networks are very close, using complex algorithms to determine the optimal network does not significantly improve network quality or user experience. Random selection, on the other hand, simplifies the decision-making process, enables faster response, reduces decision-making time, and improves overall data transmission efficiency. Furthermore, random selection of communication networks prevents all devices from favoring the same network, helping to balance network load, reduce congestion, and improve network service stability and quality. Furthermore, automated random network selection reduces manual network selection and provides a more seamless and convenient network experience. It should also be noted that in real-world applications, multiple active data packages may have the same maximum data allowance. In such cases, using complex algorithms to determine the optimal one is time-consuming and inefficient. Random selection simplifies this decision-making process and quickly matches data transmission rates. Furthermore, if the system favors specific data packages, it may lead to overuse or neglect of specific network resources. Random selection helps balance the utilization of different traffic packages, avoiding excessive load on a single resource. This improves the fairness of network services and prevents bias in resource utilization. Understandably, because each communication network supports multiple different types of valid traffic packages, traffic usage can vary from one package to another. Therefore, the maximum traffic allowance is a dynamically changing value. Furthermore, in complex network environments, immediately using the default data rate allows for a quick response to user data transmission needs, ensuring that data services are not interrupted or delayed due to delays in the selection process.The use of default data transmission rates ensures that users can still obtain a relatively stable and reliable data service experience before the optimal rate is determined.

[0038] In some other preferred methods, when calculating the communication network and data transmission rate that are adapted to the current use environment of the mobile Internet of Things device to support current data transmission, it can include: comparing the signal strengths of different types of monitored communication networks with the signal strength threshold that triggers network switching to obtain the adapted signal strength of the communication network that is closest to the signal strength threshold that triggers network switching, and automatically selecting the communication network corresponding to the adapted signal strength to support current data transmission; when there are at least two signal strengths that are closest to the signal strength threshold that triggers network switching, based on the query results of the traffic margins of multiple types of effective traffic packages supported by each type of communication network, judge the maximum traffic margin of multiple types of effective traffic packages supported by the communication network corresponding to the at least two signal strengths that are closest to the signal strength threshold that triggers network switching, automatically select the communication network corresponding to the effective traffic package with the maximum traffic margin to support current data transmission, and automatically select the data transmission rate corresponding to the maximum traffic margin to support current data transmission. For example, the signal strengths of type 1 communication network and type 2 communication network are both closest to the signal strength threshold that triggers network switching. Type 1 communication network supports N types of effective traffic packages, and type 2 communication network supports M types of effective traffic packages. At this time, based on the query results of the traffic margins of the N types of effective traffic packages and each of the M types of effective traffic packages, the maximum traffic margins of the N types of effective traffic packages and the M types of effective traffic packages are judged. Assuming that the effective traffic package with the maximum traffic margin corresponds to type 1 communication network, type 1 communication network can be automatically selected to support current data transmission. At the same time, since the maximum traffic margin corresponds to the fastest data transmission rate, the data transmission rate corresponding to the maximum traffic margin can be automatically selected to support current data transmission. Further, the maximum flow margins of the multiple types of effective flow packets supported by the communication network corresponding to the at least two signal strengths closest to the signal strength threshold that triggers network switching are determined, and the communication network corresponding to the effective flow packet with the maximum flow margin is automatically selected to support the current data transmission, and the data transmission rate corresponding to the maximum flow margin is automatically selected to support the current data transmission, including: if there are multiple types of effective flow packets with the same maximum flow margins supported by a certain communication network, then the effective flow packet of any maximum flow margin is randomly selected as the marked flow packet; the maximum flow margins in all the marked flow packets are compared to obtain the determined maximum flow margin; the communication network corresponding to the effective flow packet with the determined maximum flow margin is automatically selected to support the current data transmission, and the data transmission rate corresponding to the determined maximum flow margin is automatically selected to support the current data transmission.For example, among the N types of effective traffic packets supported by the type 1 communication network, the traffic margins of the effective traffic packets of types 1, 2, 3, and 4 are all the same and the largest, and among the M types of effective traffic packets supported by the type 2 communication network, the traffic margins of the effective traffic packets of types 5, 6, 7, and 8 are all the same and the largest. Then, an effective traffic packet with the largest traffic margin among the N types of effective traffic packets is randomly selected as the marked traffic packet, such as selecting the type 1 effective traffic packet as the marked traffic packet, and an effective traffic packet with the largest traffic margin among the M types of effective traffic packets is randomly selected as the marked traffic packet, such as selecting the type 5 effective traffic packet as the marked traffic packet. The maximum traffic margins in all the marked traffic packets are compared to obtain a determined maximum traffic margin. Furthermore, if the determined maximum traffic margins are the same, the communication network corresponding to the effective traffic packet with the determined maximum traffic margin as the final maximum traffic margin supports the current data transmission, and the data transmission rate corresponding to the final maximum traffic margin is automatically selected to support the current data transmission.

[0039] It should be noted that, when the signal strengths of multiple networks are similar, for example, the signal strengths of type 1 communication network and type 2 communication network are both closest to the signal strength threshold that triggers network switching, and the network signal strengths are similar, using signal strength alone as a selection criterion is not conducive to the full use of multiple effective traffic packages, and is not conducive to refined optimization management of traffic. In this embodiment, by selecting the communication network corresponding to the effective traffic package with the largest traffic margin among multiple communication networks with similar signal strengths, it is possible to more accurately match the most suitable communication network and data transmission rate for the current usage environment, and optimize the network selection process. Selecting the data transmission rate corresponding to the maximum traffic margin can not only meet the current data transmission needs, but also ensure the efficiency of data transmission, reduce waiting time, and provide a smoother network experience. In addition, the refined communication network and data transmission rate selection mechanism helps to reasonably allocate and utilize network resources, avoid resource waste, and improve the overall quality of network services.

[0040] It should be pointed out that the above embodiments are only preferred specific implementation methods of the present invention, and the protection scope of the present invention is not limited thereto. Any changes or replacements that can be easily thought of by any technician familiar with this technical field within the technical scope disclosed by the present invention should be covered within the protection scope of the present invention. The protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for intelligent traffic management of a mobile IoT device, characterized in that: include: When a user terminal scans the QR code label on the mobile IoT device and initiates a binding request to bind with the mobile IoT device, the public account QR code of the mobile IoT device is displayed to the user terminal to guide the user terminal to follow the public account of the mobile IoT device, and the device management control is set on the public account page of the mobile IoT device; After the mobile IoT device is bound to the user terminal, in response to a device management request by touching the device management control, a control homepage of the mobile IoT device is displayed for the user to select and purchase various types of traffic packages supported by various types of communication networks of the communication operator; Monitoring traffic usage of multiple types of valid traffic packages supported by each type of communication network, and recommending traffic packages suitable for use by the user of the user terminal to the user terminal on the official account page of the mobile IoT device based on the numerical distribution of the traffic usage; The method further includes: configuring a plurality of dynamic adjustment parameters, wherein the plurality of dynamic adjustment parameters include a communication network type, an effective traffic packet type, and a signal strength threshold for triggering network switching; Monitor the signal strength of different types of communication networks in the current use environment of the mobile Internet of Things device, and query the traffic balance of multiple types of effective traffic packages supported by each type of communication network; based on the monitored signal strength of different types of communication networks, the signal strength threshold for triggering network switching and the query results of the traffic balance of the multiple types of effective traffic packages, calculate the communication network and data transmission rate that are adapted to the current use environment of the mobile Internet of Things device to support current data transmission.

2. The method for intelligent traffic management of a mobile IoT device according to claim 1, wherein: When a user inputs a device management problem inquiry through the official account page of the mobile IoT device, the AI ​​customer service analyzes the device management problem inquiry and provides an inquiry answer using preset scripts.

3. The method for intelligent traffic management of a mobile IoT device according to claim 1, wherein: When a user inputs a traffic problem inquiry through the official account page of the mobile IoT device, the AI ​​customer service analyzes the traffic problem inquiry and provides an inquiry answer using preset scripts.

4. The method for intelligent traffic management of a mobile IoT device according to claim 1, wherein: Based on the numerical distribution of traffic usage, a traffic package suitable for the user of the user terminal is recommended to the user terminal on the official account page of the mobile IoT device, including: Configure the traffic usage value distribution node of the traffic package, and configure the traffic package recommendation plan that is adapted to the traffic usage value distribution node; Monitor the validity period of all effective traffic packages, and recommend traffic packages suitable for the user of the user terminal to the user terminal on the official account page of the mobile IoT device according to the traffic package recommendation scheme before the effective traffic package expires.

5. The method for intelligent traffic management of a mobile IoT device according to claim 1, wherein: Based on the numerical distribution of traffic usage, a traffic package suitable for the user of the user terminal is recommended to the user terminal on the official account page of the mobile IoT device, including: The intelligent traffic package recommendation model is trained using traffic usage values ​​with different numerical distributions and traffic package recommendation cases adapted to different traffic usage values ​​to obtain a trained intelligent traffic package recommendation model; The numerical value of the traffic usage of the effective traffic package by the user end is input into the intelligent traffic package recommendation model, and the intelligent traffic package recommendation model intelligently recommends a traffic package suitable for the user end user based on the numerical value of the traffic usage of the effective traffic package by the user end.

6. The method for intelligent traffic management of a mobile IoT device according to claim 1, wherein: After the current user terminal binds the mobile IoT device, when other user terminals scan the QR code label on the mobile IoT device and initiate a binding request to bind with the mobile IoT device, the public account QR code of the mobile IoT device is displayed to the other user terminals to guide the other user terminal users to follow the public account of the mobile IoT device.

7. The method for intelligent traffic management of a mobile IoT device according to any one of claims 1 to 6, wherein: The control homepage of the mobile IoT device includes a device adding control. When the device adding control is touched, the control homepage of the mobile IoT device is controlled to enter a device adding control page to add multiple networking-requiring devices.

8. The method for intelligent traffic management of a mobile IoT device according to any one of claims 1 to 6, wherein: The control homepage of the mobile Internet of Things device includes a traffic recharge control. When the traffic recharge control is touched, the control homepage of the mobile Internet of Things device is controlled to enter a traffic package purchase page, so that users can purchase multiple traffic packages of different types supported by various types of communication networks of communication operators.

9. The method for intelligent traffic management of a mobile IoT device according to any one of claims 1 to 6, wherein: The control homepage of the mobile Internet of Things device includes a purchased package management control. When the purchased package management control is touched, the control homepage of the mobile Internet of Things device is controlled to enter the effective traffic package management page for the user to manage all effective traffic packages.

10. A traffic intelligent management system for mobile IoT devices, characterized in that: include: The server, when running the computer program, implements the method for intelligent traffic management of a mobile IoT device according to any one of claims 1 to 9; Mobile IoT devices can access various types of communication networks through SIM cards; The SIM card is welded to the mainboard of the mobile IoT device and is electrically connected to the mainboard of the mobile IoT device. The mainboard is communicatively connected to the server.

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