Interactive training method and system based on a metro mobile network constructed by H5 technology

Abstract

The application discloses an interactive training method and system based on a metropolitan mobile network constructed by H5 technology, relates to the technical field of 5G interactive learning, and comprises the following steps: providing an operation interface matched with a user name for a user who passes identity authentication; determining a target training item selected by the user from a training interface and a target training subtask belonging to the target training item; performing an interactive learning operation with the user according to the target training subtask, and generating a training result corresponding to the interactive learning operation for the user; and the training result comprises a training score corresponding to the target training subtask; the application realizes immersive training of the user, overcomes the technical problem that conventional H5 education platforms are mostly used for one-way knowledge transmission, and significantly improves teaching pertinence and teaching efficiency; and the pain points of high teaching cost and large operation risk of real equipment are solved in the mode of simulating equipment operation logic by animation, so that a 'learning-test-evaluation' closed loop integration is formed.

Description

Technical Field

[0001] This application relates to the field of 5G interactive learning technology, and in particular to an interactive training method and system for building a metropolitan area mobile network based on H5 technology. Background Technology

[0002] Fifth-generation mobile communication technology (5G), as a new generation of communication technology, has significant advantages such as high speed, low latency, and large capacity. It has great potential for application in fields such as intelligent manufacturing, smart cities, telemedicine, and autonomous driving. It is an important part of the country's new infrastructure and one of the key technologies for developing new quality productivity.

[0003] The rapid development of 5G technology has created a huge demand for professionals with practical skills in building and maintaining metropolitan area mobile networks. The core objective of telecommunications education in universities and internal training for telecom operators is to cultivate learners' practical skills in configuring, debugging, and troubleshooting key equipment such as 5G base stations. However, current teaching practices are heavily reliant on practical experience, and high-quality practical teaching is difficult to implement on a large scale due to cost issues.

[0004] Specifically, the existing teaching model centered on real equipment and its fundamental shortcomings include: Learning models that allow learners to operate on real devices have revealed inherent drawbacks in actual teaching scenarios, such as excessively high overall costs that are difficult to overcome. For example, the procurement and upgrading costs of learning equipment are extremely high; the purchase cost of a complete 5G base station and core network equipment can easily reach hundreds of thousands or even millions of RMB. If equipment from mainstream manufacturers such as Huawei and Datang is to be used to ensure the comprehensiveness of teaching content, the cost will increase exponentially. In addition, 5G technology standards are still evolving, and related equipment is being updated and replaced rapidly, resulting in continuous hardware investment pressure on educational institutions, and many schools' equipment quickly becoming outdated compared to existing network applications. Summary of the Invention

[0005] The purpose of this application is to provide an interactive training method and system for building metropolitan area mobile networks based on H5 technology, which can significantly improve the relevance and efficiency of teaching, and solve the pain points of high cost and high operational risk of teaching with real equipment.

[0006] To achieve the above objectives, this application provides the following solution: Firstly, this application provides an interactive training method for constructing a metropolitan area mobile network based on H5 technology, the interactive training method for constructing a metropolitan area mobile network based on H5 technology includes: Provide an operation interface that matches the authenticated user; wherein the operation interface includes a training interface for displaying at least one training project, and each training project includes at least one training subtask; Determine the target training item selected by the user from the training interface and the target training sub-tasks belonging to the target training item; The system performs interactive learning operations with the user based on the target training sub-task, and generates training results corresponding to the interactive learning operations for the user; the training results include training scores corresponding to the target training sub-task. The step of performing interactive learning operations with the user based on the target training sub-task includes: The user is provided with an H5 animation that simulates the process of building a metropolitan area mobile network. The H5 animation contains embedded visual primitives representing different device components or connection relationships. The system receives operation instructions issued by the user when performing the target training sub-task. The operation instructions include dragging and dropping device elements represented by icons and dragging and dropping the relationship between at least two device elements represented by connecting lines. The device elements and the connection relationship are used as visual primitives to build the system block diagram, hardware deployment structure and network topology structure of the target training sub-task. In response to the operation command, determine the current position information of the visualized graphic element; The current position information of the visualized graphic element is matched and judged with the pre-stored correct position information; Based on the matching result, training results are generated for the user and displayed.

[0007] Secondly, this application provides an interactive training system for the construction of a metropolitan area mobile network based on H5 technology. The interactive training system for the construction of a metropolitan area mobile network based on H5 technology includes: The login module is used to provide an operation interface that matches the user who has been authenticated; wherein, the operation interface includes a training interface for displaying at least one training project, and each training project includes at least one training subtask. The operation module is used to determine the target training project selected by the user from the training interface and the target training sub-tasks belonging to the target training project; The system performs interactive learning operations with the user based on the target training sub-task, and generates training results corresponding to the interactive learning operations for the user; the training results include training scores corresponding to the target training sub-task. The step of performing interactive learning operations with the user based on the target training sub-task includes: The user is provided with an H5 animation that simulates the process of building a metropolitan area mobile network. The H5 animation contains embedded visual primitives representing different device components or connection relationships. The system receives operation instructions issued by the user when performing the target training sub-task. The operation instructions include dragging and dropping device elements represented by icons and dragging and dropping the relationship between at least two device elements represented by connecting lines. The device elements and the connection relationship are used as visual primitives to build the system block diagram, hardware deployment structure and network topology structure of the target training sub-task. In response to the operation command, determine the current position information of the visualized graphic element; The current position information of the visualized graphic element is matched and judged with the pre-stored correct position information; Based on the matching result, training results are generated for the user and displayed.

[0008] Thirdly, this application provides a computer device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the interactive training method for constructing a metropolitan area mobile network based on H5 technology as described above.

[0009] Fourthly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the interactive training method for constructing a metropolitan mobile network based on H5 technology as described above.

[0010] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the interactive training method for constructing a metropolitan mobile network based on H5 technology as described above.

[0011] According to the specific embodiments provided in this application, the following technical effects are disclosed: This application provides an interactive training method and system for building metropolitan area mobile networks based on H5 technology. First, it provides users with an interface displaying training projects and sub-tasks. Then, when the user selects a training sub-task, H5 animation content is provided for learning. After the user completes the learning, an interactive learning operation is executed. By determining the current position information of the visualized elements in the H5 animation content through user operation commands, the current position information is matched with the correct position information to generate the user's training results, which are then displayed to the user. This achieves immersive training for the user, overcoming the technical problem that conventional H5 education platforms are mostly one-way knowledge transfer platforms, significantly improving the relevance and efficiency of teaching. Furthermore, by simulating the operation logic of equipment with animation, it solves the pain points of high cost and high operational risk in teaching with real equipment, forming a closed-loop integration of "learning-testing-evaluation". Attached Figure Description

[0012] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0013] Fig. 1 This is a flowchart illustrating an interactive training method for building a metropolitan mobile network based on H5 technology, according to one embodiment of this application. Fig. 2 This is a schematic diagram of the process of performing interactive learning operations with the user according to the target training subtask in one embodiment of this application. Detailed Implementation

[0014] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0015] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0016] like Figs. 1-2 As shown, this application provides an interactive training method for constructing a metropolitan area mobile network based on H5 technology. This method is executed by a computer device, specifically by a terminal or server alone, or by both. In this embodiment, the interactive training method for constructing a metropolitan area mobile network based on H5 technology includes the following steps S101 to S103. Wherein: Step S101: Provide an operation interface matching the user who has been authenticated; wherein the operation interface includes a training interface for displaying at least one training project, and each training project includes at least one training subtask.

[0017] In step S101 of this application embodiment, providing an operation interface matching the authenticated user includes the following steps S201 to S203. Wherein: Step S201: Receive a login request sent by a user and provide a login interface for the user. The login interface includes a username input window and a password login window. Step S202: Receive the username entered by the user through the username input window and the login password entered through the password login window; Step S203: Determine whether the user meets the identity verification criteria based on the username entered by the user, the login password corresponding to the username, and the preset verification information. If the determination result is yes, provide the user with an operation interface that matches the user.

[0018] In step S203 of this embodiment, providing the user with an operation interface matching the user includes: determining whether the user has entered a developer key; if the determination result is yes, the user is identified as an administrator user and a configuration interface is provided to the administrator user; otherwise, the user is identified as a learner user and a training interface is provided to the learner user; wherein, the configuration interface is used to formulate training tasks for the learner user, and the training tasks include any combination of the training items and the training sub-tasks. It can be understood that logged-in users can be divided into administrator users and learner users. Learner users only have task learning permissions, while administrator users have additional task formulation permissions compared to learner users. Administrator users can formulate personalized learning tasks for learner users based on their learning foundation and learning situation. In this embodiment, the administrator users include teachers and developers. In addition, teachers and developers can manage software version and other related information through developer keys.

[0019] It should be noted that in step S101 of this application embodiment, the training projects include 5G network application scenario analysis project, 5G wireless network coverage planning project, Huawei equipment 5G mobile network construction and maintenance project, Datang equipment 5G mobile network construction and maintenance project, and 5G+ digital industry application project.

[0020] Specifically, in the embodiments of this application, the training subtasks in various training projects are allocated as follows: Training Project 1: 5G Network Application Scenario Analysis Project: This project includes training sub-tasks on the development history of mobile communication, performance indicators of 5G, analysis of 5G application scenarios, evolution of international standards for mobile communication, differences between frequency division duplex and time division duplex, and antennas and frequency bands of 5G mobile phones. Training Project 2: 5G Wireless Network Coverage Planning Project: This project includes training sub-tasks for 5G mobile communication frequency band allocation, 5G wireless equipment application scenarios, base station coverage area calculation, beamforming technology, 5G downlink path loss model, and 5G uplink path loss model. Training Project 3: Huawei Equipment 5G Mobile Network Construction and Maintenance Project: including 5G system architecture training sub-tasks, 5G network evolution roadmap training sub-tasks, Huawei 5G base station system hardware deployment diagram training sub-tasks, 5G base station data configuration process training sub-tasks, 5G base station cell signal coverage training sub-tasks, and DU cell fault troubleshooting process training sub-tasks. Training Project 4: Datang Equipment 5G Mobile Network Construction and Maintenance Project: including 5G high-speed rail coverage design training sub-task, 5G NMG interface protocol layering training sub-task, 4G and 5G wireless network architecture comparison training sub-task, identification training sub-task in 5G network, general fault handling process training sub-task, and transmission fault handling process training sub-task. Training Project 5: 5G+ Digital Industry Application Project: This includes training sub-tasks for three modes of 5G industry applications, interface training sub-tasks for 5G mobile communication systems, training sub-tasks for 5G+ industry applications - wide area private networks, training sub-tasks for 5G+ industry applications - local area private networks, training sub-tasks for 5G+AI automatic steel transfer systems, and training sub-tasks for 5G+AI intelligent scrap steel grading systems.

[0021] It is understood that the learning tasks in this application consist of 30 training sub-tasks, which are divided into 5 major training projects. Each training sub-task and training project can be freely combined to create a personalized learning task. The aforementioned training projects cover various aspects of mobile network planning and design, network configuration, troubleshooting (the troubleshooting function is mainly set in training projects 3 and 4. Training project 3 sets up a troubleshooting training task for cell faults of Huawei equipment; project 4 sets up a transmission fault troubleshooting training task for transmission faults of Datang equipment, and also sets up a general fault troubleshooting training project), and industry applications. The platform is based on Huawei 5G base station equipment and Datang 5G base station equipment, covering mainstream equipment in the current network, and can train learners in relevant practical skills.

[0022] Step S102: Determine the target training project selected by the user from the training interface and the target training sub-tasks belonging to the target training project.

[0023] Step S103: Perform an interactive learning operation with the user according to the target training sub-task, and generate training results corresponding to the interactive learning operation for the user; the training results include training scores corresponding to the target training sub-task.

[0024] In step S103 of this application embodiment, the interactive learning operation with the user based on the target training sub-task includes the following steps S301 to S305. Wherein: Step S301: Provide the user with H5 animation content simulating the construction process of a metropolitan area mobile network. The H5 animation content embeds visual primitives representing different device components or connection relationships. Here, H5 stands for HTML5, which is a technical standard for building web pages and interactive applications. It supports animation, video, and dynamic content. In this application, it is used to create an immersive training interface. The H5 content can be run through a standard web browser without installing specific software or plugins.

[0025] Step S302: Receive the operation instructions issued by the user when executing the target training sub-task. The operation instructions include dragging and dropping device elements represented by icons and dragging and dropping the relationship between at least two device elements represented by connecting lines. The device elements and the connection relationship are used as visual primitives to build the system block diagram, hardware deployment structure and network topology structure of the target training sub-task. Step S303: In response to the operation command, determine the current position information of the visualized graphic element; Step S304: Match the current position information of the visualized graphic element with the pre-stored correct position information; Step S305: Based on the matching judgment result, generate training results for the user and display them.

[0026] In this embodiment of the application, the interactive training method for constructing a metropolitan area mobile network based on H5 technology further includes statistical analysis of the training results of learner users. The statistical analysis of the training results of learner users includes the following steps S401 to S402. Wherein: Step S401: Receive a performance statistics instruction from the administrator user through the configuration interface; the performance statistics instruction is used to select at least one learner user who performs interactive learning operations using the training interface and the training results corresponding to the learner user. Step S402: Generate a class performance dashboard based on the selected learner users and their training results. This dashboard displays the ranking of all selected learner users' training results and the distribution range of those results. It should be noted that the statistical analysis of learner users' training results can also statistically analyze the learning abilities of multiple learners. For example, based on preset performance ranges, all learner users can be categorized into excellent learners, good learners, average learners, and learners needing improvement, and the number of people in each range can be statistically determined.

[0027] In this embodiment of the application, the interactive training method for constructing a metropolitan mobile network based on H5 technology further includes automatically generating a training path for learner users. The automatic generation of the training path for learner users includes steps S501 to S503. Wherein: Step S501: Collect learning data generated by the user when completing at least one training sub-task, the learning data including task completion rate, error type and training time; Step S502: Based on the learning data, identify the user's knowledge weaknesses using a preset data analysis model; Step S503: Based on the identification results of the knowledge gaps, dynamically generate a subsequent training path for the user. The training path is used to specify the next training subtask to be trained or a combination of multiple training subtasks.

[0028] In summary, this application first provides users with an interface showcasing training projects and sub-tasks; then, when users select a training sub-task, it provides H5 animation content for them to learn from; after users complete the learning, it executes interactive learning operations. By determining the current position information of the visual elements in the H5 animation content through user operation commands, it matches and judges the current position information with the correct position information, thereby generating the user's training results and displaying them to the user, achieving immersive training for users. This overcomes the technical problem that conventional H5 education platforms are mostly one-way knowledge transfer platforms, significantly improving the relevance and efficiency of teaching; and by using animation to simulate the operation logic of equipment, it solves the pain points of high cost and high operational risk of teaching with real equipment, forming a closed-loop integration of "learning-testing-evaluation".

[0029] Based on the same inventive concept, this application also provides an interactive training system for the construction of a metropolitan area mobile network based on H5 technology, including a login module and an operation module. Wherein: The login module is used to provide an operation interface that matches the user who has been authenticated; wherein, the operation interface includes a training interface for displaying at least one training project, and each training project includes at least one training subtask. The operation module is used to determine the target training project selected by the user from the training interface and the target training sub-tasks belonging to the target training project; The system performs interactive learning operations with the user based on the target training sub-task, and generates training results corresponding to the interactive learning operations for the user; the training results include training scores corresponding to the target training sub-task. The step of performing interactive learning operations with the user based on the target training sub-task includes: The user is provided with an H5 animation that simulates the process of building a metropolitan area mobile network. The H5 animation contains embedded visual primitives representing different device components or connection relationships. The system receives operation instructions issued by the user when performing the target training sub-task. The operation instructions include dragging and dropping device elements represented by icons and dragging and dropping the relationship between at least two device elements represented by connecting lines. The device elements and the connection relationship are used as visual primitives to build the system block diagram, hardware deployment structure and network topology structure of the target training sub-task. In response to the operation command, determine the current position information of the visualized graphic element; The current position information of the visualized graphic element is matched and judged with the pre-stored correct position information; Based on the matching result, training results are generated for the user and displayed.

[0030] In one exemplary embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.

[0031] In one exemplary embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0032] In one exemplary embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0033] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0034] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0035] The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0036] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0037] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. An interactive training method for constructing a metropolitan area mobile network based on H5 technology, characterized in that, The interactive training method for constructing a metropolitan area mobile network based on H5 technology includes: Provide an operation interface that matches the authenticated user; wherein the operation interface includes a training interface for displaying at least one training project, and each training project includes at least one training subtask; Determine the target training item selected by the user from the training interface and the target training sub-tasks belonging to the target training item; The system performs interactive learning operations with the user based on the target training sub-task, and generates training results corresponding to the interactive learning operations for the user; the training results include training scores corresponding to the target training sub-task. The step of performing interactive learning operations with the user based on the target training sub-task includes: The user is provided with an H5 animation that simulates the process of building a metropolitan area mobile network. The H5 animation contains embedded visual primitives representing different device components or connection relationships. The system receives operation instructions issued by the user when performing the target training sub-task. The operation instructions include dragging and dropping device elements represented by icons and dragging and dropping the relationship between at least two device elements represented by connecting lines. The device elements and the connection relationship are used as visual primitives to build the system block diagram, hardware deployment structure and network topology structure of the target training sub-task. In response to the operation command, determine the current position information of the visualized graphic element; The current position information of the visualized graphic element is matched and judged with the pre-stored correct position information; Based on the matching result, training results are generated for the user and displayed.

2. The interactive training method for constructing a metropolitan mobile network based on H5 technology according to claim 1, characterized in that, The provision of a user interface matching the authenticated user includes: Receive a login request sent by a user and provide a login interface for the user, the login interface including a username input window and a password login window; Receive the username entered by the user through the username input window and the login password entered through the password login window; Based on the username entered by the user, the login password corresponding to the username, and the preset verification information, it is determined whether the user meets the identity verification requirements. When the determination result is yes, an operation interface matching the user is provided.

3. The interactive training method for constructing a metropolitan mobile network based on H5 technology according to claim 2, characterized in that, The provision of a user interface that matches the user includes: The system determines whether the user has entered a developer key. If the result is yes, the user is identified as an administrator user and a configuration interface is provided to the administrator user. Otherwise, the user is identified as a learner user and a training interface is provided to the learner user. The configuration interface is used to create training tasks for the learner user. The training tasks include any combination of the training projects and the training sub-tasks.

4. The interactive training method for constructing a metropolitan mobile network based on H5 technology according to claim 3, characterized in that, The interactive training method for constructing a metropolitan area mobile network based on H5 technology also includes: The system receives a performance statistics instruction from the administrator user through the configuration interface; the performance statistics instruction is used to select at least one learner user who performs interactive learning operations using the training interface and the training results corresponding to the learner user. A class performance dashboard is generated based on the selected learner users and their training results. The class performance dashboard is used to display the ranking of the training results of all selected learner users and the range of the training results.

5. The interactive training method for constructing a metropolitan mobile network based on H5 technology according to claim 1, characterized in that, The interactive training method for constructing a metropolitan area mobile network based on H5 technology also includes: Collect learning data generated by users when completing at least one training sub-task, including task completion rate, error type, and training time; Based on the learning data, the user's knowledge gaps are identified through a preset data analysis model; Based on the identification results of the knowledge gaps, a subsequent training path is dynamically generated for the user. The training path is used to specify the next training subtask to be trained or a combination of multiple training subtasks.

6. The interactive training method for constructing a metropolitan mobile network based on H5 technology according to claim 1, characterized in that, The training projects include 5G network application scenario analysis, 5G wireless network coverage planning, Huawei equipment 5G mobile network construction and maintenance, Datang equipment 5G mobile network construction and maintenance, and 5G+ digital industry application projects.

7. An interactive training system for building a metropolitan area mobile network based on H5 technology, characterized in that, The interactive training system for the metropolitan area mobile network based on H5 technology includes: The login module is used to provide an operation interface that matches the user who has been authenticated; wherein, the operation interface includes a training interface for displaying at least one training project, and each training project includes at least one training subtask. The operation module is used to determine the target training project selected by the user from the training interface and the target training sub-tasks belonging to the target training project; The system performs interactive learning operations with the user based on the target training sub-task, and generates training results corresponding to the interactive learning operations for the user; the training results include training scores corresponding to the target training sub-task. The step of performing interactive learning operations with the user based on the target training sub-task includes: The user is provided with an H5 animation that simulates the process of building a metropolitan area mobile network. The H5 animation contains embedded visual primitives representing different device components or connection relationships. The system receives operation instructions issued by the user when performing the target training sub-task. The operation instructions include dragging and dropping device elements represented by icons and dragging and dropping the relationship between at least two device elements represented by connecting lines. The device elements and the connection relationship are used as visual primitives to build the system block diagram, hardware deployment structure and network topology structure of the target training sub-task. In response to the operation command, determine the current position information of the visualized graphic element; The current position information of the visualized graphic element is matched and judged with the pre-stored correct position information; Based on the matching result, training results are generated for the user and displayed.

8. A computer device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the interactive training method for constructing a metropolitan mobile network based on H5 technology as described in any one of claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the interactive training method for constructing a metropolitan mobile network based on H5 technology as described in any one of claims 1-6.

10. A computer program product, comprising a computer program, characterized in that, When executed by a processor, the computer program implements the interactive training method for constructing a metropolitan mobile network based on H5 technology as described in any one of claims 1-6.

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