Business Analysis Server Optimizing Mobile Device Scenarios
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Solution Overview
Problem
Existing robot control systems struggle to optimize actions in complex environments and improve business efficiency, particularly in scenarios involving complicated tasks like customer service, as they become overly complicated and fail to enhance human-like interaction and productivity.
Innovation Solution
A business analysis server that analyzes business index values and generates correction scenarios for mobile devices by correlating scenario execution information with business index values, optimizing actions to improve efficiency and human-like interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If comprehensive determination of robot status based on multiple recognition results is implemented, then action control capability is improved, but system complexity increases excessively
Solution Approach 1:
The patent segments the complex control system into two independent parts: a scenario management unit that handles high-level task planning and a status determination unit that handles low-level sensor processing. This segmentation allows each unit to specialize in specific functions, reducing overall system complexity while maintaining comprehensive control capability.
Solution Approach 2:
The patent introduces a scenario as an intermediary element between sensor recognition and robot actions. The scenario acts as a mediator that translates complex recognition results into manageable action plans, simplifying the control process while maintaining comprehensive determination capability.
2Productivity
If scenario-based control with multiple parameters is used, then action efficiency is improved, but applicability to complicated tasks decreases
Solution Approach 1:
The patent makes the scenario structure dynamic and adaptable. Scenarios can be flexibly configured with varying parameters depending on the task requirements, allowing the system to efficiently handle both simple and complicated tasks. The scenario parameters can be adjusted in real-time based on task complexity and environmental conditions.
Solution Approach 2:
The patent utilizes parameter changes to adapt scenarios to different task types. By modifying scenario parameters such as priority levels, execution conditions, and action sequences, the system maintains high efficiency across diverse task complexities without being constrained by fixed scenario structures.
3Extent of automation
If existing robot control systems are applied to complex business environments, then basic automation is achieved, but business efficiency improvement is insufficient
Solution Approach 1:
The patent implements feedback mechanisms where scenario execution results and business performance metrics are continuously monitored and used to optimize future scenario configurations. This feedback loop enables the system to learn from past performance and automatically improve business efficiency while maintaining automation.
Solution Approach 2:
The patent enables the robot system to autonomously optimize its own scenario configurations based on observed business performance. The system performs self-service by automatically adjusting scenario parameters and selecting optimal actions without external intervention, thereby improving business efficiency while maintaining high automation levels.
Data Source
AI summary
An objective of the present invention is to promote efficiency improvement of a business by a mobile device. A business analysis server that analyzes a business in a mobile device system conducting the business by controlling a mobile device on the basis of a scenario includes a control unit, and a storage unit including a business index value database that manages a business index value indicating an effect of the business and a business index value history database that manages a change in the business index value as time-series data. The control unit receives scenario execution information when a business index value is designated, analyzes a correlation between the business index value and the scenario by referring to the business index value history database and the scenario execution information, extracts a target scenario whose correlation value with the business index value satisfies predetermined conditions, and generates a correction scenario.