Remote Maintenance State Data Extraction for Network Bandwidth Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Real-time monitoring systems for user units producing permanent data streams can overload communication networks, leading to decreased network performance and bandwidth, especially when handling audio/video content data.
Innovation Solution
A system for remote maintenance of user units that includes a management server and user units connected via a communication network, where each user unit stores state data related to hardware and software parameters, detects operational failures, and transmits relevant data to the server for analysis, using a state data monitoring and collecting module to create log files and determine statistical correlation coefficients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time monitoring systems produce permanent data streams from user units, then failure diagnosis capability is improved, but network bandwidth and performance deteriorate due to overload
Solution Approach 1:
The patent extracts only the necessary state data (hardware parameters, software parameters, operational states) from user units and stores it locally in memory, rather than transmitting continuous permanent data streams. This extraction approach maintains failure diagnosis capability while significantly reducing network bandwidth consumption.
Solution Approach 2:
Instead of continuous real-time monitoring, the system implements periodic data collection triggered by specific events (operational failures, state changes). The state data collecting module activates only when failures are detected, transforming continuous monitoring into event-driven periodic transmission.
2Measurement precision
If continuous real-time data transmission is implemented, then monitoring precision is improved, but network performance and throughput deteriorate
Solution Approach 1:
The patent implements local data processing and filtering at the user unit level, where the state data monitoring module identifies and extracts only relevant state information locally before transmission. This local quality control ensures monitoring precision is maintained for critical parameters while reducing overall data volume.
Solution Approach 2:
The system performs preliminary data processing, filtering, and relevance assessment at the user unit before transmission. The monitoring module pre-identifies critical state data and prepares it for transmission, eliminating the need for continuous high-bandwidth transmission of all data.
3Loss of information
If state data is stored locally in user units, then data availability for failure analysis is improved, but device complexity increases
Solution Approach 1:
The patent creates a simplified copy of the data management system at the user unit level, implementing a local state data monitoring and collecting module that mirrors essential functions of the central server. This copying approach enables local data availability while keeping the added complexity minimal and focused.
4Quantity of substance
If event-triggered transmission is implemented, then network bandwidth consumption is reduced, but response time for failure reporting may increase
Solution Approach 1:
The system performs preliminary data collection, buffering, and preparation of state data in memory before transmission is triggered. When a failure event occurs, the pre-prepared data is immediately available for rapid transmission, minimizing the actual reporting time while maintaining event-driven bandwidth efficiency.
Data Source
Figure 1
AI summary
An aim of the system and the method for remote maintenance of user units according to the invention is to allow an efficient diagnosis of failures in a reduced time. Each user unit, connected to a management server, via a communication network, transmits to the management server state data related to hardware and software parameters associated to an operating mode of the user unit. The method includes steps of: storing state data in a memory of the user unit, monitoring state data stored in the memory, and detecting at least one datum of a state indicating an operational failure of the user unit. When a failure is detected, state data corresponding to current states of the user unit at the moment of the failure and state data corresponding to the states stored during a predetermined period before the failure are extracted from the memory and transmitted to the management server which determines a statistic correlation coefficient between the values of each state of a user unit and the values of states of other user units.