Conveyor Package Tracking via Photoelectric Pattern Estimation
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Solution Overview
Problem
Existing methods for tracking packages on conveyor sections are prone to inaccuracies due to irregularities such as slipping, jamming, and temporary interactions between packages, leading to significant uncertainty in position determination and errors in tracking.
Innovation Solution
A method utilizing a Viterbi algorithm to estimate the most probable event sequence causing photoelectric barrier patterns, taking into account conveyor speed and system parameters, to accurately assign package positions and improve tracking accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If position is determined by detecting passage through individual photodetector and calculating based on conveyor belt movement, then position determination is achieved, but measurement inaccuracies and slipping cause significant uncertainty in position
Solution Approach 1:
The system continuously monitors photoelectric barrier patterns and uses algorithmic processing to detect deviations from expected patterns. When irregularities such as slipping or jamming are detected, the system adjusts its interpretation of package positions by comparing actual patterns against predicted patterns based on conveyor speed and package spacing, thereby maintaining tracking reliability despite measurement uncertainties
Solution Approach 2:
The patent introduces an algorithmic intermediary that processes raw photoelectric barrier signals and translates them into reliable package position information. This intermediary layer analyzes patterns of multiple photoelectric barrier triggerings and uses probability-based event sequence estimation to resolve ambiguities caused by slipping or temporary package interactions, thereby improving both measurement precision and tracking reliability
2Productivity
If tracking uses calculation based on conveyor belt movement since detection, then position can be determined, but irregularities such as packages being pushed together, slipping, jumping, and temporary jamming cause significant uncertainty
Solution Approach 1:
The system pre-establishes expected photoelectric barrier patterns based on known conveyor speed and package spacing before actual package passage occurs. By having predicted patterns ready, the system can quickly compare actual signals against expectations and immediately identify deviations caused by slipping or jamming, maintaining high tracking productivity while improving position accuracy through pattern matching
Solution Approach 2:
The patent replaces direct mechanical position measurement (relying solely on conveyor belt movement calculation) with an algorithmic system that processes photoelectric barrier patterns. This substitution allows the system to detect and correct for irregularities such as slipping or package interactions by analyzing the temporal and spatial patterns of barrier triggerings, thereby maintaining high tracking speed while improving position accuracy
3Reliability
If photoelectric barriers detect packages at discrete positions, then tracking is enabled, but incorrect triggering or lack of triggering leads to errors in continuous tracking
Solution Approach 1:
The system combines information from multiple photoelectric barrier triggerings into a unified event sequence analysis. By merging the signals from sequential barriers and processing them together through algorithmic pattern recognition, the system can distinguish between genuine package passage events and false triggerings, thereby improving both tracking continuity and event detection accuracy
Solution Approach 2:
The algorithm continuously compares actual photoelectric barrier patterns against expected patterns and uses feedback to correct for incorrect or missed triggerings. When a deviation is detected, the system adjusts its interpretation by referencing the broader pattern context, allowing it to maintain reliable continuous tracking even when individual barrier triggerings are erroneous
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
This approach enhances tracking precision and reduces error rates by accurately determining package positions and events along the conveyor section, even in the presence of irregularities, achieving a higher tracking rate with minimal errors.
Implementation Method 1
the conveyor section comprising at least one photoelectric barrier for detecting the packages
Data Source
AI summary
In a method for tracking packages on a conveyor section, the tracking rate of packages is intended to be maximized. This is achieved by providing a method for tracking packages on a conveyor section, the method comprising the following steps: a) providing a conveyor section having a conveyor surface for conveying a sequence of packages, the conveyor section comprising at least one photoelectric barrier for detecting the packages, b) detecting a photoelectric barrier pattern by means of the photoelectric barrier, the photoelectric barrier pattern being caused by the sequence of packages, c) detecting a conveyor speed of at least one subsection of the conveyor section, d) estimating an event sequence which has with the highest probability caused the photoelectric barrier pattern, while taking into account the conveyor speed of the conveyor section, by means of an algorithm, the algorithm comprising the following further steps: e) compiling a list of possible event sequences, f) sorting the event sequences with the aid of their occurrence probability, g) extending the most probable event sequence by all possible consecutive events, the probability of the event sequence being determined for each extension, h) incorporating the extensions as a new event sequence into the list of event sequences, i) repeating steps g) to h) until the most probable event sequence fully reflects the detected photoelectric barrier pattern.