Power Line Communication Data Retrieval Engine

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Solution Overview

Problem

Data communication over power distribution lines with many endpoint devices is challenging due to noise, varying bandwidth requirements, and different data types with distinct transmission rate and timing delay needs, which existing systems struggle to efficiently manage.

Innovation Solution

A system comprising a data retrieving engine, a packet processing engine, and a packet reading engine that retrieves and processes interval and long-type data sets, forming data packets based on customized packing lists and communication rules to efficiently transmit utility usage data over power distribution lines, allowing dynamic adjustment of data ratios and handling dynamic network conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If data is transmitted from many endpoint devices over power distribution lines, then comprehensive utility usage data collection is improved, but noise interference and transmission reliability deteriorate

Engineering Contradiction:
Improvedata collection coverageVSAvoidtransmission reliability
Core Design Contradiction:
Quantity of substanceVSReliability

Solution Approach 1:

The patent segments the power distribution network into multiple communication zones or groups, where data from endpoint devices is collected and processed in distributed manner before being aggregated at a command center. This segmentation reduces the impact of noise on any single transmission path while maintaining comprehensive data collection across the entire network.

Inventive Principle:
Principle #1Segmentation

2Adaptability or versatility

If different types of data are transmitted with varying bandwidth requirements, then data communication flexibility is improved, but system complexity increases

Engineering Contradiction:
Improvebandwidth adaptabilityVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements dynamic bandwidth allocation mechanisms that adjust transmission parameters based on the type of data being transmitted and current network conditions. The system can dynamically switch between different communication modes and allocate bandwidth resources according to the specific requirements of utility usage data, event data, and other data types, thereby achieving flexibility without requiring completely separate systems for each data type.

Inventive Principle:
Principle #15Dynamics

3Speed

If data transmission rate is increased to meet varying application requirements, then data availability is improved, but noise interference and data loss increase

Engineering Contradiction:
Improvedata transmission rateVSAvoiddata loss
Core Design Contradiction:
SpeedVSLoss of information

Solution Approach 1:

The patent incorporates feedback mechanisms where the command center monitors transmission quality and network conditions, then adjusts transmission rates and retransmits data as needed. The system uses acknowledgment signals and error detection protocols to ensure data integrity, allowing high transmission rates when conditions are favorable while automatically reducing rates or retransmitting when noise interference is detected, thereby maintaining data availability without excessive data loss.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS8842563B1Communication and processing for power line communication systems
Publication Date: 2014.09.23 LANDIS & GYR TECHNOLOGIES LLC
  • US8842563B1 patent drawing
  • US8842563B1 patent drawing
  • US8842563B1 patent drawing

AI summary

Aspects of the present disclosure are directed towards a data retrieving engine that is designed to retrieve interval data from the endpoint devices that is communicated for indicating utility usage readings. The interval data is provided at least once for each interval period (used by each of the endpoint devices). The data retrieving engine is additionally designed for retrieving, from the endpoint devices, other different type of data, which is transmitted over a time period that overlaps multiple interval periods. In certain implementations, the system allows a dynamic adjustment to a ratio of the respective amounts for each type of data.