A Visual Monitoring System and Method for Broadband Networks

Abstract

The present application relates to the technical field of broadband network, particularly relates to a kind of visual monitoring system and method for broadband network.The present application provides the visual monitoring system for broadband network with the collaborative design of core function module and visual output module, and the core function module is built based on FLASK framework, including: data acquisition module, data storage module, data processing module, compared with traditional data display mode, the system and method can integrate all-link network index data, draw chart according to demand, can let operation and maintenance personnel more quickly, clearly master broadband network overall operation state, reduce the understanding threshold of network index.

Description

Technical Field

[0001] This invention relates to the field of broadband network technology, and in particular to a visual monitoring system and method for broadband networks. Background Technology

[0002] With the deepening development of the digital economy, broadband networks have become a core infrastructure supporting social production, daily life, and digital government operations. Their operational stability, bandwidth utilization, and service carrying capacity are increasingly valued by the industry. Current mainstream broadband network monitoring solutions generally adopt a distributed system architecture. This architecture is based on the design concept of layered network management (such as physical layer, data link layer, and network layer) and functional module decomposition (such as bandwidth monitoring, equipment status monitoring, and fault alarms), distributing different monitoring indicators across independent subsystems or functional modules. For example, bandwidth utilization data is typically collected and displayed separately through network traffic analysis tools; hardware status information such as device offline and port failures relies on equipment management platforms for monitoring; and service layer issues such as user service interruptions and service response delays need to be investigated separately through the service operation and maintenance system. This distributed monitoring model could meet basic monitoring needs and achieve independent tracking of specific indicators in early environments with simple network structures and single service scenarios.

[0003] However, with the continuous expansion of broadband network scale (such as a surge in the number of access users and network nodes spreading throughout urban and rural areas), the increasing complexity of network topology (such as the popularization of SDN software-defined networking and hybrid cloud networking), and the diversification of service types (such as high-definition video, cloud office, and IoT device access), the limitations of existing distributed monitoring solutions have gradually become apparent. They are no longer able to meet the current needs for efficient and refined network operation and maintenance. Specifically, the following are the problems: the indicator data of different monitoring subsystems lack a unified data model and integration mechanism, forming "data silos." Operation and maintenance personnel need to switch between multiple system interfaces to obtain complete information. At the same time, the solutions mostly display historical or near real-time data in tables and static charts, lacking real-time visualization capabilities. They cannot intuitively present the dynamic changes in the network (such as bandwidth peak fluctuations) and topological correlations (such as the impact range of regional node failures), which reduces the speed of anomaly detection and is not conducive to non-technical personnel grasping the overall status. In addition, the systems mostly focus on network technical indicators (such as packet loss rate and device load), which are separated from business operation data (such as the number of online users and complaint rate). They cannot analyze related problems in real time, resulting in a lack of business perspective support for operation and maintenance decisions.

[0004] The aforementioned problems collectively result in existing monitoring systems being unable to comprehensively and intuitively reflect the overall operation status and business operation data of broadband networks in real time. This leads to significant delays in fault location and maintenance work, failing to meet the needs of daily network maintenance. Therefore, there is an urgent need for a monitoring system that integrates various indicators in broadband networks and can present them in real time. Summary of the Invention

[0005] Based on this, it is necessary to address the above-mentioned shortcomings by providing a visual monitoring system for broadband networks, including: a core functional module based on the FLASK framework, comprising: a data acquisition module, a data storage module, and a data processing module. The data acquisition module is communicatively connected to the data storage module, and the data storage module is communicatively connected to the data processing module. The data acquisition module is used to collect network indicator data from the broadband network's egress network, core network, and access network. The data storage module is used to store the network indicator data in a database and establish an index. The data processing module is used to optimize and label the network indicator data.

[0006] The visualization output module is communicatively connected to the data processing module and includes an integration module for integrating network indicator data and outputting visualization charts, an adaptive module for implementing adaptive layout, an API interface module for returning JSON format data, and an update module for obtaining and dynamically updating charts.

[0007] Preferably, the data acquisition module includes several RESTful API interfaces for receiving network device performance data and network indicator data from distributed dial-up terminals collected by the BOSS business management system and SNMP gateway. The interfaces of the data acquisition module include three authentication mechanisms: Token, OAuth 2.0, and IP whitelist.

[0008] Preferably, the database of the data storage module is a MySQL database, and the data retention period is 400 days.

[0009] Preferably, the data processing module uses Python's Pandas data processing library to perform data cleaning logic such as deduplication, noise reduction, and missing value filling; with the help of Python's dictionary structure, source system, collection time, and network level labels are added to the data before it is stored.

[0010] Preferably, the integration module uses Echarts, an open-source visualization chart library based on JavaScript, the adaptive module uses the Bootstrap 5 grid system, and the update module uses jQuery's AJAX and getJSON, with the chart updating frequency being 300 seconds.

[0011] The present invention also provides a visual monitoring method for broadband networks, using any of the above-described visual monitoring systems for broadband networks, comprising the following steps:

[0012] Step S100: The data acquisition module collects raw network indicator data in real time from the egress network, core network, and access network;

[0013] Step S200: The data acquisition module transmits the raw network indicator data to the data storage module, and the storage module performs database sharding and table partitioning and establishes indexes on the raw network indicator data.

[0014] Step S300: The data processing module retrieves the network indicator data stored in the data storage module in real time. The data processing module performs noise reduction and labeling on the network indicator data, then integrates the processed network indicator data, and then transmits it to the visualization output module.

[0015] Step S400: The visualization output module displays the operating status of the entire broadband network in the form of charts.

[0016] Preferably, the raw network indicator data collected in step S100 includes: interface traffic, online rate, broadband utilization, number of users, number of terminals, number of successful registrations, latency, packet loss rate, total traffic, number of online terminals, ONU online rate, traffic for different services, and link traffic between topology node devices and the central computer room.

[0017] The aforementioned visualization monitoring system and method for broadband networks features a collaborative design of core functional modules and visualization output modules. The core functional modules, built on the FLASK framework, include a data acquisition module, a data storage module, and a data processing module, all interconnected to achieve a seamless flow of network indicator data from acquisition to storage and processing, avoiding data fragmentation. The data acquisition module covers the broadband network's egress network, core network, and access network, comprehensively acquiring network operation indicators. The data storage module stores and indexes the network indicator data. The data processing module optimizes and tags the data. The visualization output module uses Echarts, an open-source visualization chart library based on JavaScript, to output the integrated network indicator data in intuitive chart form. Compared to traditional data display methods, this allows maintenance personnel to quickly and clearly grasp the overall operating status of the broadband network, lowering the barrier to understanding network indicators. It solves the technical problems of lacking integrated capabilities of "full-link + multi-dimensional visualization + real-time alarm linkage" and the inability to achieve "dynamic highlighting of topology anomalies + user indicator correlation and location," providing intuitive data support for network operation and maintenance decisions. By leveraging the integrated visual fault location capabilities, troubleshooting time can be significantly reduced from 2 hours to 25 minutes, and routine manual inspections from 5 hours to 1 hour. The visual monitoring system supports interactive data display, allowing non-technical personnel to understand link status by clicking on nodes. In addition, the panoramic topology presentation of network load is visually appealing and intuitive, facilitating operation and maintenance demonstrations and government / enterprise reporting. Attached Figure Description

[0018] Figure 1This is a schematic diagram of the structure of a visual monitoring system for broadband networks in one embodiment of the present invention;

[0019] Figure 2 This is a flowchart of a visualization monitoring method for broadband networks in one embodiment of the present invention. Detailed Implementation

[0020] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Many specific details are set forth in the following description to provide a thorough understanding of the present invention. However, the present invention can be practiced in many other ways different from those described herein, and those skilled in the art can make similar modifications without departing from the spirit of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0021] This invention discloses a visual monitoring system and method for broadband networks, such as... Figure 1 , Figure 2 As shown, the visualization monitoring system for broadband networks includes a backend core functional module based on the Flask framework and a frontend visualization module, with the core functional module and visualization module establishing a communication connection. The core functional module includes a data acquisition module, a data storage module, and a data processing module, all of which are interconnected. The data processing module also establishes a communication connection with the visualization module.

[0022] The data acquisition module adopts a RESTful API interface design, supporting HTTP / HTTPS dual-protocol access. The RESTful API, through standardized interfaces, stateless characteristics, and lightweight transmission, improves system compatibility, scalability, and real-time performance, facilitating multi-device access and function iteration. Dual protocols flexibly adapt to different network environments; internally, HTTP ensures efficiency, while externally, HTTPS ensures security, balancing performance and data security. The data acquisition module collects raw network indicator information from devices such as egress routers and gateways in the egress network, core routers and backbone switches in the core network, and optical modems, access switches, and routers in the access network. Examples include: user experience indicators from the BOSS service management system and distributed dial-up testing terminals in the access network, and network device performance data from the SNMP gateway in the core network. The collected network indicator data specifically includes: 1. Device status: online rate, ONU online rate, topology node device and central computer room link traffic, etc.; 2. Traffic indicators: interface traffic, total traffic, traffic for different services, bandwidth utilization, etc.; 3. User terminal indicators: number of users, number of terminals, number of online terminals, number of successfully registered users, etc.; 4. Performance quality indicators: latency, packet loss rate, etc. The data acquisition module's interface includes three authentication mechanisms: Token, OAuth 2.0, and IP whitelist. Token authentication is lightweight, efficient, and highly controllable, suitable for internal service calls in high-concurrency and distributed scenarios. OAuth 2.0 is designed specifically for third-party authorization, securely isolating permissions and precisely controlling access scope, facilitating integration with external systems. The IP whitelist provides minimalist yet highly secure protection through IP filtering, suitable for access in fixed, trusted environments. The combination of these three mechanisms covers different scenarios such as internal calls, third-party access, and core network segment access, forming a defense-in-depth system that balances system flexibility, scalability, and data security.

[0023] The data storage module implements structured indicator storage based on a MySQL database, adopts a database sharding and table partitioning design, and establishes composite indexes for commonly used query types according to network indicator data type, business type, data source, time, region, and device ID. The query latency is less than 1 second, and the data retention period is set to 400 days.

[0024] The data processing module relies on Python's Pandas data processing library to perform data cleaning logic such as deduplication, noise reduction, and missing value imputation to ensure the stability and accuracy of the data input to the visualization platform. With the help of Python's dictionary structure, source system, collection time, and network level labels are added to the data before it is stored.

[0025] The visualization module uses HTML5 to define the semantic structure of the front-end page, providing a standardized content organization framework for data visualization components and other elements through specific tags; it uses CSS3 to implement the visual style design and responsive layout of the page, adapts to different device screens with media queries, and optimizes the interface presentation through animation, shadows, and other features, improving the aesthetics and adaptability of the data visualization interface; it uses the Bootstrap 5 grid system to achieve adaptive layout, with chart containers adjusting responsively to fit different screens on different devices; it uses PHP interfaces or Flask framework API interfaces to return JSON format data; it uses jQuery's AJAX and getJSON to retrieve and update dynamic charts, with a default setting of automatic refresh every 300 seconds; it uses the open-source JavaScript-based visualization chart library Echarts to draw charts, and uses jQuery's AJAX method to send POST requests to the target PHP backend interface, while the PHP interface implements persistent recording of front-end exception information.

[0026] The specific steps for using the above-mentioned visual monitoring system for monitoring include:

[0027] Step S100: The data acquisition module collects raw network indicator data in real time from the egress network, core network, and access network;

[0028] Step S200: The data acquisition module transmits the raw network indicator data to the data storage module, and the storage module performs database partitioning and table creation for the raw network indicator data.

[0029] Step S300: The data processing module retrieves the network indicator data stored in the data storage module in real time. The data processing module performs noise reduction and labeling on the network indicator data, then integrates the processed network indicator data, and then transmits it to the visualization output module.

[0030] Step S400: The visualization output module displays the operating status of the entire broadband network in the form of charts.

[0031] The visual monitoring system and method for broadband networks provided by this invention realize real-time visual monitoring of the entire link from broadband egress → metropolitan area network → access network → terminal. It supports multi-condition linkage based on time, region, link, and user layer, achieving accurate alarms and intelligent filtering. Through the linkage of visual fault location capabilities, fault diagnosis time can be significantly shortened from 2 hours to 25 minutes, and daily manual inspection time can be shortened from 5 hours to 1 hour. The visual monitoring system supports interactive data display, allowing non-technical personnel to understand the link status by clicking on nodes. In addition, the panoramic topology presentation of network load is visually appealing and intuitive, facilitating operation and maintenance demonstrations and government and enterprise reporting.

[0032] In one embodiment, the hardware used in the visualization output module includes: a high-performance monitoring host (AMD R95900X CPU, 64GB DDR4 3600 memory, RX6750XT 12GB graphics card, 1TB SSD storage), a 55-inch LCD display array (3*3, 9 units in total), and an LED strip monochrome screen. The LCD display resolution is 5720*3240, and the spacing between adjacent displays is 1.8mm. Different displays can be used to display the overall topology, detailed indicators, etc., according to actual needs. It supports 3 DP video inputs and 9 HDMI video outputs, with H.264 / H.265 decoding format. The multi-screen signal distribution and switching are achieved automatically according to preset rules through a point-to-point network decoding matrix. The LED strip monochrome screen communicates with the monitoring host via RS485 protocol to display alarm information or custom content.

[0033] In current broadband network monitoring systems, maintenance personnel only intervene to troubleshoot after service anomalies or user reports of faults. This passive fault response suffers from significant delays and requires manual verification through independent monitoring systems at each level, resulting in a cumbersome and inefficient process. To improve fault location efficiency, in one embodiment, the visual monitoring system for broadband networks provided by this invention collects network indicators across the entire link from the egress network and core network to the access network in real time. The data is then centrally processed and displayed. Once an anomaly occurs, an alarm is automatically triggered, and the fault location is visually presented in the topology diagram. This visual monitoring system, through its "full-link indicator collection + centralized processing + topology visualization" linked alarm mechanism, significantly improves fault response speed and handling efficiency, meeting the high real-time and stability maintenance requirements of broadcast broadband services.

[0034] In current network operation and maintenance (O&M) models, a passive response approach is typically relied upon. O&M personnel only investigate and address issues after a user reports a fault or a serious service anomaly occurs. This approach has significant shortcomings: firstly, it often fails to provide real-time updates on the overall network status; secondly, problem detection is delayed; and thirdly, the scope of the fault's impact is difficult to determine promptly, leading to business continuity risks. To fundamentally change this passive O&M model, in one embodiment, the present invention provides a visual monitoring system for broadband networks. This system achieves comprehensive monitoring of network quality through a visualization module and a display matrix. The system centrally presents backbone link metrics (such as latency and packet loss) and real-time Ping test results for key websites, videos, and games. All basic network metrics and statistical data can be viewed on the screen matrix as needed, such as color-coded topology diagrams and charts of various network metrics. Normal links are marked in blue, and any abnormality automatically turns red and triggers an alarm. The O&M team can directly and quickly identify and locate abnormal links and affected service areas through the screen matrix interface, proactively intervening and promptly dispatching resources without waiting for user feedback. Compared with existing passive operation and maintenance, the visual monitoring system for broadband networks provided by this invention realizes the transformation from "post-event response" to "real-time proactive monitoring and alarm", which significantly improves the timeliness of anomaly detection and processing efficiency, and effectively ensures the stability of network services and user experience.

[0035] In one embodiment, the data acquisition module collects network indicator data such as traffic, number of users, number of terminals, registration success rate, latency, and packet loss rate, and plots and displays time-series data as line graphs to show the trend of each business indicator, supporting smooth curves and interactive prompts.

[0036] In one embodiment, the data acquisition module collects network indicator data such as total traffic, number of online terminals, and ONU online rate to draw and display bar charts showing the comparative relationship between categorized data, which can be used for comparison between different companies and / or different businesses; in another embodiment, it supports expansion to stacked bar charts to present the distribution ratio of some business indicators of companies in each region, such as the distribution of online users at each level of the PON port and the peak traffic distribution at each level of the PON port downlink.

[0037] In one embodiment, a pie chart is drawn to show the proportional distribution, and highlights and animation effects are added to enhance the user experience; the total traffic distribution of various outbound services is presented, such as the total inbound and outbound traffic of the entire network, peer-to-peer interconnection, intranet CDN, etc.

[0038] In one embodiment, a network topology diagram is drawn to present the topology structure of the core backbone nodes of the broadband network in real time, and the link traffic data between nodes and the uplink link traffic information of the aggregation layer equipment in the branch center are monitored simultaneously. This embodiment uses the jQuery notification plugin bootstrap-notify integrated into the Bootstrap framework as the alarm component. Dynamic threshold judgment is implemented through JavaScript, and CSS is used to make the DOM container of the alarm notification eye-catching and aesthetically pleasing. When the link utilization exceeds the preset threshold, an eye-catching pop-up notification and sound alarm are triggered.

[0039] 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.

[0040] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these all fall within the protection scope of the present invention. Therefore, the protection scope of this invention patent should be determined by the appended claims.

Claims

1. A visual monitoring system for a broadband network, characterized in that The application relates to a visual monitoring system for a broadband network. The application relates to a visual monitoring system for a broadband network. The application relates to a visual monitoring system for a broadband network. The application relates to a visual monitoring system for a broadband network. The application relates to a visual monitoring system for a broadband network. The application relates to a visual monitoring system for a broadband network. The application relates to a visual monitoring system for a broadband network.

2. A method for visual monitoring of a broadband network, characterized in that, The application relates to a visual monitoring system for a broadband network. The application relates to a visual monitoring system for a broadband network. The application relates to a visual monitoring system for a broadband network. The application relates to a visual monitoring system for a broadband network. The application relates to a visual monitoring system for a broadband network.

3. The method for visual monitoring of a broadband network according to claim 2, characterized in that, The application relates to a visual monitoring system for a broadband network. The application relates to a visual monitoring system for a broadband network. The application relates to a visual monitoring system for a broadband network. The application relates to a visual monitoring system for a broadband network. The application relates to a visual monitoring system for a broadband network. The application relates to a visual monitoring system for a broadband network. The application relates to a visual monitoring system for a broadband network. The application relates to a visual monitoring system for a broadband network. The application relates to a visual monitoring system for a broadband network. The application relates to a visual monitoring system for a broadband network. The application relates to a visual monitoring system for a broadband network. 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