Scent Delivery Scheduling With Anti-Event Conflict Priority
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Solution Overview
Problem
Existing scent delivery systems lack the ability to efficiently manage conflicting scent activation and deactivation schedules, leading to potential interference and difficulty in scheduling scent exclusion periods without altering existing events.
Innovation Solution
A central controller manages scent delivery units through a network, allowing for scheduled events and anti-events (scent exclusion periods) with priority rules to resolve conflicts, ensuring precise scent control and enabling manual overrides where necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If scent delivery units are scheduled to activate during overlapping time periods, then scent coverage is improved, but conflicting schedules cause interference and control errors
Solution Approach 1:
The system performs preliminary detection of scheduling conflicts between events and anti-events before execution. The controller identifies overlapping time periods in advance and preemptively adjusts the schedule by extending non-conflicting periods, preventing control errors before they occur.
Solution Approach 2:
The scheduling system dynamically adjusts event and anti-event time periods based on detected conflicts. When conflicts are identified, the system automatically extends non-conflicting periods to resolve overlaps, making the schedule adaptive rather than static.
2Reliability
If anti-events are given priority to prevent conflicts, then control reliability is improved, but flexibility in scheduling is reduced
Solution Approach 1:
The system performs preliminary detection of scheduling conflicts between events and anti-events before execution. The controller identifies overlapping time periods in advance and preemptively adjusts the schedule by extending non-conflicting periods, preventing control errors before they occur.
Solution Approach 2:
The system replaces rigid priority-based conflict resolution with an intelligent detection and extension mechanism. Instead of simply giving priority to anti-events, the system uses algorithms to detect conflicts and automatically extend non-conflicting periods, providing more nuanced and flexible conflict management.
3Ease of operation
If the system detects and resolves scheduling conflicts automatically, then ease of operation is improved, but computational complexity increases
Solution Approach 1:
The scheduling system performs self-service by automatically detecting conflicts between events and anti-events and resolving them without user intervention. The controller autonomously identifies overlapping periods and extends non-conflicting periods to eliminate conflicts.
Solution Approach 2:
The system replaces manual conflict resolution with automated detection and extension algorithms. The controller uses computational methods to identify scheduling conflicts and automatically adjust time periods, substituting human operation with intelligent automation.
Data Source
AI summary
A method for controlling one or more scent delivery units includes maintaining one or more scheduled events, maintaining one or more scheduled anti-events, and generating, based on the one or more scheduled events and the one or more scheduled anti-events, command data to be communicated to the one or more scent delivery units to control their activation and deactivation. Generating the command data includes identifying a conflicting period of time during which control specified by the one or more scheduled events differs from control specified by the one or more scheduled anti-events and also includes generating command data that gives priority to control specified by the one or more scheduled anti-events. Control for the one or more scent delivery units during the conflicting period of time is in accordance with control logic of the one or more scheduled anti-events and not the one or more scheduled events.