Service Management Device Simulation for Autonomous Robot Regulation
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Solution Overview
Problem
Current technologies lack effective management solutions for services delivered in predetermined areas, such as logistics and mobility services, especially when utilizing autonomous robots, as they fail to provide comprehensive simulation and analysis tools for optimizing service operations and addressing regulatory constraints.
Innovation Solution
A service management device equipped with an operator interface and processors that perform simulations of service delivery in predetermined areas, allowing operators to set simulation conditions, including regulations for autonomous robots, and display results for analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If simulation tools are introduced to analyze service delivery, then service optimization capability is improved, but device complexity increases
Solution Approach 1:
A simulation server acts as an intermediary between the service management device and the service delivery system. The simulation server receives service delivery data from multiple sources, performs simulations under various conditions, and returns analysis results. This mediator handles the computational complexity internally while presenting a simple interface to operators, thus improving service optimization capability without increasing perceived system complexity.
Solution Approach 2:
The system creates virtual copies of the service delivery environment through simulation. Instead of modifying the actual service delivery system to add analysis capabilities, the system generates simulated versions of service delivery data and scenarios. These virtual copies allow comprehensive analysis and optimization testing without affecting the real system, thereby improving adaptability while maintaining device simplicity.
2Measurement precision
If comprehensive simulation conditions including regulations are implemented, then service management accuracy is improved, but processing time increases
Solution Approach 1:
The system pre-loads and stores regulation data, service area information, and service delivery patterns before simulations are needed. By preparing these data elements in advance and organizing them in accessible formats, the system can quickly retrieve and apply comprehensive simulation conditions during actual simulations, thereby improving management accuracy without proportionally increasing processing time.
Solution Approach 2:
The simulation system allows dynamic adjustment of simulation parameters and conditions. Operators can selectively enable or disable specific simulation conditions based on their needs, and the system optimizes processing by only calculating the necessary parameters. This selective parameter approach maintains high management accuracy for critical parameters while reducing overall processing time by excluding less important calculations.
Data Source
AI summary
A service management device manages a service delivered in a predetermined area. The service management device has an operator interface including a display that displays information for an operator and receiving an input from the operator. The service management device performs a simulation of the service delivered in the predetermined area and displays a result of the simulation on the display. More specifically, the service management device displays, on the display, a simulation setting screen used by the operator to specify a simulation condition. The service management device receives the simulation condition specified by the operator through the operator interface and performs the simulation in accordance with the specified simulation condition. The simulation condition at least includes ON/OFF of a regulation that is imposed on an autonomous robot used for delivering the service in the predetermined area.