CAN Bus Scale Controller for MRI-Safe Inventory Monitoring
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Solution Overview
Problem
Current medical supply inventory management systems are often weight transmitters with limited local controller functionality, prone to interference from MRI machines, and lack effective network integration, leading to single-point use and inadequate data analysis capabilities.
Innovation Solution
A CAN bus scale controller system that communicates with multiple scales, utilizing IoT capabilities and multi-master architecture to analyze inventory data, avoiding interference and enabling real-time monitoring and networked intelligence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If weight transmitters with limited local controller functionality are used, then device simplicity is maintained, but data analysis capability and network integration are insufficient
Solution Approach 1:
The patent introduces a separate controller unit as an intermediary between the weight transmitter and the network/system. This controller receives weight data from the transmitter, performs local processing and analysis, then transmits processed information to the network. This mediator approach enables enhanced data analysis capability without requiring the weight transmitter itself to become complex.
Solution Approach 2:
The system is divided into distinct functional modules: a weight transmitter for measurement, a controller for data processing and analysis, and network communication interfaces. This segmentation allows each component to specialize in its function, with the controller handling the complex data analysis tasks while the transmitter remains simple and reliable.
2Reliability
If traditional weight transmitters are used in medical environments, then basic weight measurement is achieved, but susceptibility to MRI interference occurs
Solution Approach 1:
The patent replaces traditional mechanical strain gauge load cells with electromagnetic force restoration (EFR) technology. The EFR system uses electromagnetic forces to counterbalance the force applied to the measurement platform, eliminating the mechanical components that are susceptible to MRI interference. This substitution maintains measurement reliability while providing immunity to magnetic field disruptions.
3Adaptability or versatility
If single-point use systems are deployed, then device simplicity is maintained, but network integration and scalability are limited
Solution Approach 1:
The controller is designed with universal communication capabilities supporting multiple network protocols (WiFi, Bluetooth, Ethernet). This allows the same device to function in various network configurations and be integrated into different system architectures, enabling both standalone and networked operations without requiring different hardware designs.
Solution Approach 2:
The system architecture is designed to be dynamic and adaptable, allowing the controller to operate in different modes (standalone or networked) and for the system to scale from single-point to multi-point deployments. The network communication capabilities can be activated or deactivated based on operational requirements, providing flexibility in system configuration.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides robust, networked inventory management with real-time data analysis, reducing interference and enhancing scalability and data accuracy across multiple locations.
Implementation Method 1
a first scale comprising a first load cell and configured to receive a first tray holder... wherein the first load cell is configured to detect a first weight of the first tray holder
Data Source
AI summary
Methods and systems are described for scale-based inventory management and monitoring at a location, such as hospitals. Scales may be configured to receive a tray/holder for a given type of supply item, e.g., bandages or syringes. A weight determined by the scale may be associated with a given quantity of the respective item. Data around weight or quantity may be transmitted to a scale controller, which collects such data from a plurality of scales in e.g., a storeroom or cabinet. This data can be analyzed locally and/or transmitted to cloud-based or local servers for inventory management and analysis.