Medical Robot Monitoring via Centralized Abnormality Analysis
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Solution Overview
Problem
Current technologies do not provide a method for effectively collecting and analyzing information from multiple medical robots operating in different operating rooms, limiting the ability to provide comprehensive support for these robots.
Innovation Solution
A medical robot system that includes a data analysis apparatus capable of communicating with multiple medical robots, generating references for normal operation based on transmitted data, and monitoring for abnormalities or failures, with the ability to update references and notify warning information to terminals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is collected from multiple medical robots operating in different operating rooms, then the comprehensiveness of support information is improved, but the complexity of data collection and analysis increases
Solution Approach 1:
The patent merges data collection from multiple medical robots into a centralized data analysis apparatus. The controller receives operation data from multiple medical robots placed at different locations, consolidates it, and performs unified analysis to generate comprehensive support information, thereby improving reliability while managing complexity through centralization.
Solution Approach 2:
The data analysis apparatus acts as an intermediary between multiple medical robots and the support system. It receives data from various robots, processes it through standardized analysis, and outputs unified support information, serving as a mediator that simplifies the complexity of direct multi-robot data collection.
2Measurement precision
If operation data from multiple medical robots is transmitted to a centralized system, then the ability to detect abnormalities is improved, but the communication infrastructure complexity increases
Solution Approach 1:
The patent combines communication channels from multiple medical robots into a single centralized data analysis apparatus. By merging the communication infrastructure into one system, the patent reduces overall complexity while maintaining the ability to receive and analyze operation data from multiple robots for improved abnormality detection.
Solution Approach 2:
The data analysis apparatus serves multiple functions: it receives data from multiple medical robots, performs statistical analysis, generates references for normal operation, detects abnormalities, and provides support information. This multi-functionality consolidates what would otherwise require separate systems, reducing communication infrastructure complexity while enhancing detection capability.
3Measurement precision
If statistical analysis is performed on data from multiple medical robots, then the accuracy of normal operation reference is improved, but the data processing time increases
Solution Approach 1:
The controller performs statistical analysis on operation data from multiple medical robots to pre-generate a reference indicating normal operation states. This reference is created in advance through preliminary statistical processing, allowing for faster real-time abnormality detection without repeated complex calculations, thus balancing accuracy with time efficiency.
4Speed
If real-time monitoring is implemented across multiple medical robots, then the timeliness of abnormality detection is improved, but the system complexity increases
Solution Approach 1:
The patent merges real-time monitoring functions from multiple medical robots into a single centralized data analysis apparatus. This consolidation maintains timely abnormality detection across all robots while reducing system complexity by eliminating the need for distributed monitoring infrastructure at each robot location.
Data Source
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AI summary
Disclosed is a medical robot system including medical robots placed at different locations and a data analysis apparatus. Each of the medical robots includes a controller that transmits data on a state of operation of the medical robot to the data analysis apparatus. The data analysis apparatus includes a data analysis unit that generates a reference for determining whether or not the medical robots are normal, based on the data transmitted from the medical robots. The data analysis unit monitors the data transmitted from each of the medical robots in operation based on the reference.