Data Acquisition System with Trigger Data File for Sensor Monitoring

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing data acquisition management systems in commercial, industrial, and healthcare settings face challenges in efficiently monitoring and responding to changes in physical components, particularly due to the complexity of managing multiple sensors, thresholds, and alerts.

Innovation Solution

A data acquisition management system comprising sensors, beacons, a database with a trigger data file, and a processing engine that analyzes sensor data to detect threshold crossings and transmit trigger alerts to designated end terminals, allowing for flexible monitoring and intervention.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If multiple sensors and thresholds are monitored in complex environments, then detection capability and reliability are improved, but device complexity and difficulty of management increase

Engineering Contradiction:
Improvedetection capabilityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system segments the complex monitoring task into distinct functional modules: sensors acquire data, beacons transmit data, the processing engine analyzes data against thresholds, and the alert transmitter notifies stakeholders. This segmentation allows each component to specialize in one function, improving overall reliability while making the system more manageable despite the complexity of monitoring multiple parameters.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The processing engine acts as an intermediary between the raw sensor data and the alert transmission system. It receives data from multiple sensors, compares values against stored thresholds in the database, and determines when alerts should be triggered. This intermediary layer simplifies management by centralizing the complex logic of multi-sensor coordination and threshold evaluation in a single component.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Productivity

If manual monitoring of sensor data is performed, then system complexity is reduced, but response time and productivity decrease

Engineering Contradiction:
Improveresponse timeVSAvoidautomation level
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system performs self-service through automated data acquisition, processing, and alert generation. Sensors continuously collect data, the processing engine automatically compares readings against thresholds, and the alert transmitter independently notifies designated recipients when anomalies are detected. This eliminates the need for manual monitoring while maintaining rapid response times, though it does increase the automation level of the system.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system implements continuous feedback loops where sensor data is constantly monitored, compared against thresholds, and triggers alerts when deviations occur. This automated feedback mechanism enables rapid response to anomalies without manual intervention, improving productivity while requiring a certain level of system complexity to maintain the continuous monitoring and automated decision-making processes.

Inventive Principle:
Principle #23Feedback

3Adaptability or versatility

If fixed alert thresholds are used, then system simplicity is maintained, but adaptability to changing conditions decreases

Engineering Contradiction:
Improvethreshold flexibilityVSAvoiddata structure complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system transitions from static, fixed thresholds to dynamic thresholds that can be modified based on changing conditions. The database structure allows threshold values to be updated, and the processing engine can re-evaluate sensor data against new thresholds. This enables the system to adapt to varying operational conditions, environmental factors, or updated safety requirements, though it requires a more complex data structure to store and manage the configurable threshold parameters.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS12235860B2Data acquisition management system and method thereof
Publication Date: 2025.02.25 THINAER INC
  • US12235860B2 patent drawing
  • US12235860B2 patent drawing
  • US12235860B2 patent drawing

AI summary

A data acquisition management system comprises a plurality of sensors, each for acquiring sensor data based on respective physical or logical conditions; a plurality of beacons for acquiring the sensor data transmitted from the sensors; a processing engine comprising a trigger data file for storing conditions under which each of a plurality of trigger alerts occurs, wherein each of the trigger alerts includes a unique identifier, respectively, respective one or more thresholds which when crossed initiates the trigger alerts, and pointers that directly or indirectly reference the unique identifiers of the sensors that provide the sensor data that is used to determine if any of the trigger alerts occurs; and a trigger alert transmitter for transmitting each trigger alert to a designated one of a plurality of end terminals.