Remote Server Alarm Evaluation for Portable Sensor Reliability
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Solution Overview
Problem
Existing personal emergency response systems (PERS) face limitations in data processing capacity, connectivity, and reliability, leading to issues such as restricted data transmission, lack of automated modifications based on external data, and potential system crashes, which can hinder effective emergency response, especially in situations requiring immediate and accurate communication of vital health metrics and location.
Innovation Solution
A method where various devices and sensors transmit data independently to a remote server for evaluation, allowing for external processing and triggering of alarms based on predetermined threshold values, enabling continuous functionality even if individual devices fail, and facilitating seamless transitions between devices without manual data re-entry.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all calculations and data processing are performed in the portable device, then the device can autonomously trigger alarms, but the device's calculation scope and data processing capacity are restricted
Solution Approach 1:
The patent extracts the data processing and alarm evaluation functions from the portable device and relocates them to a remote server. The portable device only performs simple sensor data collection and transmission, while the server handles complex calculations, threshold comparisons, and alarm triggering. This resolves the contradiction by removing the processing burden from the device while maintaining reliable alarm functionality.
Solution Approach 2:
The patent introduces a remote server as an intermediary between the portable device and the alarm triggering mechanism. The server acts as a mediator that receives sensor data, performs comprehensive evaluations, and decides whether to trigger alarms. This intermediary approach allows the device to remain simple while achieving reliable autonomous alarm triggering through remote processing.
2Adaptability or versatility
If multiple sensors and devices are connected to the main device, then more measurement capabilities are available, but the system becomes more complex and prone to crashes
Solution Approach 1:
The patent segments the system into independent components: the portable device contains only essential sensors for basic monitoring, while additional specialized sensors and devices communicate with the remote server independently. Each component operates autonomously without requiring connection to the main device, reducing system complexity and crash risks while maintaining versatile measurement capabilities.
Solution Approach 2:
The remote server serves as an intermediary that coordinates multiple sensors and devices without requiring them to be connected to each other or to a central main device. The server receives data from various independent sources, processes information, and triggers alarms as needed. This intermediary architecture maintains system stability by eliminating direct connections between multiple devices that could cause crashes.
3Speed
If the device processes and stores all alarm data locally, then data processing is faster, but the quantity and scope of data that can be processed is limited
Solution Approach 1:
The patent extracts the data processing function from the portable device and relocates it to a remote server with substantially greater computational resources. The device performs only rapid local sensor reading and data transmission, while the server handles comprehensive data processing, storage, and analysis. This extraction allows unlimited data processing capacity while maintaining fast response speeds through optimized transmission protocols.
Data Source
AI summary
An alarm system comprises at least one sensor device and a remote server; wherein the sensor device comprises at least one sensor which provides sensor data; and a sensor module which is adapted to transmit the data independently and directly to the remote server, wherein the data are only evaluated in the server, without or without storage of the data and the server triggers an alarm, if the sensor data exceed a predetermined threshold value.