Delivery Assist Apparatus Power Data Scheduling
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Solution Overview
Problem
Existing delivery systems lack an efficient method to determine the presence of users at facilities and optimize delivery schedules based on real-time power consumption data, leading to suboptimal delivery route planning and scheduling.
Innovation Solution
A delivery assist apparatus and system that utilize power data from facilities to determine target areas and schedules by receiving and processing power data from smart meters and energy management systems, executing procedures at specific timings to identify user presence and update delivery schedules accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If delivery scheduling is performed without real-time power data, then delivery routes can be planned in advance, but delivery efficiency deteriorates due to inability to respond to user presence changes
Solution Approach 1:
The system performs preliminary determination of target areas at first timing based on power data satisfying a first condition, which allows delivery routes to be pre-planned for specific areas while maintaining flexibility for later adjustments based on real-time user presence detection
Solution Approach 2:
The system dynamically adjusts delivery schedules by executing a second procedure at second timing to determine delivery schedules for target facilities based on updated power data satisfying a second condition, enabling real-time response to changes in user presence while maintaining overall delivery plan efficiency
2Reliability
If delivery schedules are determined without considering user presence, then scheduling is simpler, but delivery reliability deteriorates due to failed deliveries when users are absent
Solution Approach 1:
The system uses power data as feedback to determine user presence at facilities, where the controller receives power data from facilities and executes different procedures based on whether power consumption patterns indicate user presence, thereby improving delivery reliability through informed scheduling decisions
Solution Approach 2:
The delivery determination process is segmented into two distinct procedures: a first procedure for determining target areas at first timing, and a second procedure for determining delivery schedules at second timing. This segmentation allows the system to manage complexity by breaking down the overall scheduling task into manageable stages with different levels of detail
3Measurement precision
If power data is continuously monitored at high frequency, then user presence detection accuracy improves, but energy consumption increases
Solution Approach 1:
The system employs periodic action by collecting power data at multiple distinct timings (first timing and second timing) rather than continuous monitoring. The controller executes the first procedure at first timing and the second procedure at second timing, achieving accurate user presence detection through strategic periodic sampling while minimizing energy consumption
Data Source
AI summary
A delivery assist apparatus includes: a receiver configured to receive power data of at least one facility included in two or more predetermined facilities located in a predetermined area; and a controller configured to determine a procedure of delivering goods to the two or more predetermined facilities, based on the power data. At first timing, the controller executes a first procedure of determining a target area out of two or more delivery areas included in the predetermined area, based on the power data satisfying a first condition based on the first timing. At second timing after the first timing, the controller executes a second procedure of determining a delivery schedule of the goods for two or more target facilities located in the target area, based on the power data satisfying a second condition based on the second timing.