Sensors` signal sequence evaluation method, for data analysis system, involves position-dependently assigning parameter and movement scenarios determined for transportation objects to one of classes

Simple SummaryContent extracted from patent full text and abstract with AI.

This invention is a method for evaluating and assigning sensor signal sequences within a data analysis system, primarily applied to conveyor or transportation systems. It involves defining and classifying typical signal patterns detected by sensors on different conveyors or transitions, and then assigning transportation objects position-dependently to these movement classes in real time as they move through the system.

Use CasesContent extracted from patent full text and abstract with AI.

• Monitoring packages or goods in automated warehouse conveyor systems to track movements and identify bottlenecks.
• Quality control in manufacturing lines by detecting unusual movement patterns or deviations in object transit.
• Logistics and distribution centers for sorting and redirecting objects based on movement classification.
• Predictive maintenance by analyzing sensor signals for early detection of mechanical issues in conveyor equipment.
• Automated baggage handling systems in airports for tracking luggage through various conveyor segments.

BenefitsContent extracted from patent full text and abstract with AI.

• Enhances real-time monitoring and classification of objects in conveyor and transport systems.
• Improves accuracy in identifying and sorting transportation objects based on their movement through sensor data.
• Increases operational efficiency by automating the assignment of objects to movement scenarios and classes.
• Reduces manual intervention and potential for human error in logistics or manufacturing environments.
• Provides valuable data for preventive maintenance and optimization of conveyor systems.

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Patent Abstract

The method involves defining signal sequences of sensors as classes and assigning typical classes to conveyors, e.g. curve conveyors (K1-K5), of a conveyor system or transitions between the conveyors. Sequences are continuously verified to find whether they are assigned to one class. Parameter and movement scenarios determined for transportation objects are position-dependently assigned to the class in the case of a possible assignment.