Multi-Application Transceiver with Cloud-Based Signal Processing
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Solution Overview
Problem
Existing radar sensors are limited to specific applications and are inflexible for multi-application use, leading to increased energy consumption due to powerful on-board computing resources required for complex data processing.
Innovation Solution
A multi-application-transceiver device that integrates various sensors such as radar, sonar, and infrared sensors, utilizing a digital signal processor with an alterable rule engine and middleware for remote configuration, allowing for multiple monitoring applications while reducing hardware and energy requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If application-specific radar sensors with powerful on-board computing resources are used for complex data processing, then measurement precision and reliability are improved, but device complexity and energy consumption increase
Solution Approach 1:
The patent extracts the complex data processing functionality from the sensor device itself and relocates it to a remote cloud-based system. The sensor device only performs simple signal collection and transmission, while the cloud system handles the complex analysis, filtering, and interpretation. This extraction significantly reduces the computational hardware requirements and energy consumption of the sensor device while maintaining high measurement precision through powerful remote processing capabilities.
Solution Approach 2:
The patent introduces a cloud-based intermediary system that mediates between the simple sensor device and the complex data processing requirements. This intermediary cloud system receives raw signals from the sensor, performs sophisticated analysis using remote computing resources, and returns processed information to the sensor device or end user. The cloud intermediary absorbs the complexity and hardware requirements, allowing the sensor device to remain simple and energy-efficient.
2Measurement precision
If application-specific radar sensors with powerful on-board computing resources are used for complex data processing, then measurement precision and reliability are improved, but energy consumption increases
Solution Approach 1:
The patent extracts the energy-intensive complex data processing tasks from the sensor device and relocates them to a remote cloud system. The sensor device only consumes energy for simple signal collection and transmission, while the cloud system handles the computationally demanding analysis, filtering, and interpretation using its own processing resources. This extraction dramatically reduces the energy consumption of the sensor device while maintaining high data processing quality through the cloud's powerful computing capabilities.
Solution Approach 2:
The patent introduces a cloud-based intermediary that mediates between the low-power sensor device and the high-energy processing requirements. The cloud intermediary receives minimal data from the sensor, performs sophisticated energy-intensive analysis using remote computing resources, and returns processed information back to the sensor device. This intermediary approach allows the sensor to operate with minimal energy consumption while the cloud system absorbs the energy costs of complex processing.
3Measurement precision
If sensors are designed for specific applications, then measurement precision for that application is improved, but adaptability to other applications decreases
Solution Approach 1:
The patent implements a universal sensor device that can serve multiple applications through software configuration rather than hardware design. The sensor hardware is designed with generic capabilities to detect various types of signals, and the specific application functionality is provided through software algorithms and processing rules that can be loaded and switched on the cloud system. This allows the same physical sensor to be used for different monitoring applications (e.g., heartbeat detection, respiration monitoring, movement detection) by simply changing the software processing configuration, thereby achieving both application-specific precision and multi-application adaptability.
Solution Approach 2:
The patent makes the sensor system dynamic by allowing the processing algorithms and detection parameters to be changed and reconfigured based on the required application. Instead of being fixed for a single application, the system can dynamically switch between different processing modes and algorithms through software updates and configuration changes. This dynamic reconfigurability enables the sensor to adapt to different applications while maintaining the precision needed for each specific task, as the processing logic can be optimized for the current application context.
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
Enables flexible, energy-efficient remote monitoring across various applications by processing data in a cloud-based system, enhancing data accuracy and reliability through multi-sensor integration and distributed processing.
Implementation Method 1
a radar transceiver configured to send a radar signal towards the at least one target object and to receive a reflected radar signal in response to the radar signal
Implementation Method 2
the reflected signal is reflected from at least one target object
Implementation Method 3
at least one imaging sensor selected from the group consisting of a radar sensor, a sonar sensor, a LIDAR sensor and an infrared sensor
Implementation Method 4
at least one imaging sensor selected from the group consisting of a radar sensor, a sonar sensor, a LIDAR sensor and an infrared sensor
Implementation Method 5
at least one imaging sensor selected from the group consisting of a radar sensor, a sonar sensor, a LIDAR sensor and an infrared sensor
Data Source
AI summary
A server computer includes a non-transitory data storage storing a plurality of control rule sets including a first control rule set and a second control rule set, an interface transmitting, over a network, the first control rule set in response to a signal from the multi-application-transceiver device such that loading of application specific settings of the first control rule set causes a first health monitoring application to be enabled on the multi-application-transceiver device, and a health data analyzer receiving, over the network, a processed signal from the multi-application-transceiver device, where the processed signal includes information relating to monitoring a heartbeat or breathing of the person, detection of sudden Infant Death Syndrome (SIDS) of the person, or detection of a concentration of macromolecules on the person. The health data analyzer performs an analysis on the processed signal, and communicates, over the network, results of the analysis to the multi-application-transceiver device.


