Control Schedule Adaptation From Repeated Manual Load Operations
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Solution Overview
Problem
Existing apparatus control systems for facilities like office buildings and commercial spaces face inefficiencies in reducing resource consumption, as they rely on manual schedule adjustments by engineers, leading to increased strain and inadequate energy savings due to repeated wasteful operations.
Innovation Solution
An apparatus control device that automatically adjusts control schedules based on user manual-operation data, identifying frequent operations and adjusting times or adding new commands to minimize resource usage without requiring extensive engineer input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If control schedules are manually set and adjusted by engineers for each facility, then the control schedule can be customized to suit individual facility needs, but the engineer's workload and strain increase significantly
Solution Approach 1:
The system automatically creates and adjusts control schedules based on collected operation history data without requiring manual engineer intervention. The automated schedule creation function analyzes user operation patterns and generates optimized schedules autonomously, eliminating the need for engineers to manually customize schedules for each facility while still achieving facility-specific optimization
Solution Approach 2:
The system collects operation history data from users and uses this feedback to automatically adjust and optimize control schedules. By continuously monitoring and analyzing actual usage patterns, the system adapts schedules to match real-world behavior, reducing the need for manual engineering adjustments while maintaining high adaptability
2Device complexity
If control schedules are automatically created based on user operation history, then engineer workload is reduced, but the system cannot reduce resource consumption when users repeatedly perform wasteful manual operations
Solution Approach 1:
The system performs partial automation by automatically creating schedules based on operation history while still requiring user confirmation and intervention for schedule changes. This hybrid approach reduces engineer workload compared to fully manual scheduling, while simultaneously preventing wasteful energy consumption by having users review and approve automated schedules before implementation
Solution Approach 2:
The system implements a feedback mechanism where users are notified of automatically created schedules and can provide input or corrections. This feedback loop ensures that automated schedules align with actual needs and prevents wasteful operations by allowing users to correct inappropriate schedule decisions before they are executed
3Extent of automation
If the system repeats manual operation contents including wasteful operations, then user behavior is reflected in the control schedule, but resource consumption increases due to repeated wasteful operations
Solution Approach 1:
The system uses feedback from operation history to create schedules but incorporates additional feedback mechanisms where users can review, approve, or correct automated schedule decisions. This dual feedback approach allows the system to learn from user behavior while preventing the propagation of wasteful operations through user-verified schedule adjustments
Solution Approach 2:
The system changes the parameter of schedule optimization by not simply mirroring historical operations but by analyzing them to identify and eliminate wasteful patterns. The automated schedule creation process transforms raw operation data into optimized schedules that reduce resource consumption while maintaining necessary operations
Data Source
AI summary
The obtainment unit obtains information indicative of a content of manual-operation performed by a user regarding control of an intended apparatus from a group of loads, and stores it as manual-operation information including an obtaining time. The identification unit identifies a type of control of the manual-operation information. The determination unit counts the number of times of obtaining the manual-operation information within a counting period equal to two days or more, for each type and for each time period, and determines whether the number of times of obtaining the same type of manual-operation information within the same time period is equal to a predetermined threshold or more. When the number of times of obtaining the same type of manual-operation information within the same time period is determined to be equal to the predetermined threshold or more, the schedule change unit changes a control schedule based on this manual-operation information.