Device Network Mapping for Real-Time Topology Analysis
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Solution Overview
Problem
Current methods for managing device networks, particularly in big data analysis, are inefficient and prone to errors due to manual data processing and lack of real-time response to network changes, making them unsuitable for modern big data management needs.
Innovation Solution
A modeling analysis method that automatically constructs a network model by acquiring position and type information of nodes, establishing line and topological connections based on predetermined rules, allowing for real-time network diagram and analysis results, thereby improving data management and analysis efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual data processing and positioning methods are used, then data acquisition can be performed, but the efficiency is low and errors are prone to occur
Solution Approach 1:
The patent replaces manual mechanical data collection and processing with automated electronic systems. GPS devices automatically acquire position data, and computers with specialized software automatically process and analyze the data, eliminating manual intervention and its associated errors while significantly improving processing efficiency.
Solution Approach 2:
The system enables self-service data collection where the GPS devices and computing system automatically perform data acquisition, processing, and analysis without requiring manual operation. The system serves itself by automatically managing the entire workflow from data collection to network model construction.
2Loss of time
If traditional manual data entry and processing methods are used, then data can be entered into the system, but the workload is heavy and time-consuming
Solution Approach 1:
The patent replaces manual data entry operations with automated electronic data capture and processing systems. The GPS devices automatically capture position data, and the computing system automatically processes this data through specialized software, eliminating the time-consuming manual entry process entirely.
Solution Approach 2:
The system performs preliminary automated processing of position data as it is collected, preparing and organizing the data for network model construction before actual analysis begins. This preliminary automated preparation reduces the time required for subsequent processing steps.
3Device complexity
If manual classification and connection establishment are performed, then data can be organized, but the process is complex and error-prone
Solution Approach 1:
The patent replaces manual classification and connection establishment with automated computational processes. The specialized software automatically classifies position data according to predefined criteria and establishes connection relationships based on algorithmic rules, eliminating manual complexity and improving accuracy.
Solution Approach 2:
The system creates digital copies and representations of physical connections and relationships through automated data processing. The software constructs virtual network models that accurately replicate real-world connections based on processed position data, allowing for error-free replication of connection relationships.
Data Source
AI summary
The present application provides a modeling analysis method for a device management network and an electronic device. The modeling analysis method includes: acquiring position information and type information of a first node acquired by a user terminal; and displaying the first node on an electronic map according to the position information and type information of the first node, and establishing, in accordance with a first predetermined rule and on the electronic map, a line connection between the first node and at least one second node displayed on the electronic map. By the technical solution of the present application, a network model can be automatically constructed for rapid analysis, so that users can check the network diagram and network analysis results in real time, quickly, and automatically, so as to improve the real network of the physical world based on the rapid analysis of the network model.