Data-and-Power Cable Thermal Modeling for Overheating Detection
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Solution Overview
Problem
Communications cables that transmit both power and data experience self-heating due to current flow, which can degrade signal reliability, cause cable damage, and lead to higher power costs, often undetected by conventional systems.
Innovation Solution
Implement real-time thermal modeling using a thermal modeling module that collects data from Power Sourcing Equipment (PSE) to calculate thermal characteristics, identify thermal rises, and provide alerts or limit power output to prevent heat damage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time thermal modeling is implemented to monitor cable temperature, then cable damage is prevented, but device complexity increases
Solution Approach 1:
A thermal modeling module is introduced as an intermediary component that calculates cable temperature by processing electrical data from Power Sourcing Equipment. This module acts as a mediator between the power delivery system and cable health monitoring, using thermal models to predict temperature without requiring direct physical temperature sensors in the cable, thus preventing cable damage while adding controlled complexity.
Solution Approach 2:
The patent replaces physical temperature sensing (mechanical/physical approach) with computational thermal modeling (electrical/data-driven approach). Instead of installing temperature sensors in cables, the system uses electrical data from existing PSE devices and applies thermal models to calculate temperature, substituting a complex physical measurement system with a computational one.
2Reliability
If thermal monitoring is continuously performed, then overheating is detected early, but energy consumption increases
Solution Approach 1:
The thermal modeling process continuously calculates cable temperature by processing electrical data that is already being collected by Power Sourcing Equipment for power delivery management. The thermal modeling reuses existing electrical measurements (voltage, current, resistance) and applies thermal models continuously without requiring separate continuous sensing operations, maintaining early overheating detection while minimizing additional energy consumption.
Solution Approach 2:
The Power Sourcing Equipment devices that already exist in the system perform dual functions: delivering power to devices and simultaneously providing electrical data for thermal modeling calculations. The system uses its own existing operational data (electrical parameters during power delivery) to self-monitor cable temperature, eliminating the need for separate dedicated monitoring hardware and reducing overall energy consumption.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate, real-time assessment of cable health, preventing unwanted cable behavior and damage by identifying potential overheating conditions and optimizing power delivery.
Implementation Method 1
Heat generation in cable bundles is an issue that can greatly affect performance and cause damage to a cable plant
Data Source
AI summary
In one embodiment, a method includes receiving at a thermal modeling module, data from a Power Sourcing Equipment device (PSE) for cables extending from the PSE to Powered Devices (PDs), the cables configured to transmit power and data from the PSE to the PDs, calculating at the thermal modeling module, thermal characteristics for the cables based on the data, and identifying a thermal rise above a specified threshold at one of the cables. The data comprises real-time electrical data for the cables. An apparatus and logic are also disclosed herein.