System and method for commercial and residential systems monitoring and notification
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Solution Overview
Problem
Conventional HVAC monitoring systems lack comprehensive air filter condition monitoring, leading to reduced system efficiency and increased energy consumption, as they rely on user-initiated filter replacements without real-time feedback on filter condition or system health.
Innovation Solution
A comprehensive monitoring system utilizing a range of sensors and mobile device integration, including pressure and sound sensors, to detect air filter clogging and overall system health, providing real-time alerts and maintenance recommendations through cloud-based services and mobile applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional monitoring systems are used, then device complexity is reduced, but measurement precision of air filter condition is insufficient
Solution Approach 1:
The patent combines multiple sensor types (pressure sensors, temperature sensors, humidity sensors, airflow sensors) into a single integrated monitoring system that collectively measures air filter condition. This merging approach enables comprehensive measurement precision while managing device complexity through unified system architecture and centralized data processing.
Solution Approach 2:
The monitoring system is designed to perform multiple functions simultaneously: measuring pressure differential across the filter, monitoring temperature, detecting humidity levels, and measuring airflow. This multi-functionality allows the system to comprehensively assess air filter condition using a single integrated device rather than separate specialized sensors for each parameter.
2Productivity
If real-time monitoring is implemented, then productivity of maintenance operations is improved, but use of energy increases
Solution Approach 1:
The system implements periodic monitoring cycles rather than continuous operation, where sensors take measurements at predetermined time intervals. The controller activates sensors and data transmission periodically, allowing the system to maintain productivity by detecting filter condition changes while reducing energy consumption by keeping sensors and communication modules dormant between measurement cycles.
Solution Approach 2:
The system dynamically adjusts monitoring parameters such as measurement frequency and data transmission intervals based on filter condition. When the filter is clean, monitoring occurs at lower frequency to conserve energy. As the filter deteriorates and requires closer attention, the system increases monitoring frequency, thereby optimizing the balance between maintenance productivity and energy consumption.
3Reliability
If comprehensive sensor monitoring is deployed, then reliability of system performance is improved, but device complexity increases
Solution Approach 1:
The controller serves as an intermediary that receives data from multiple sensors (pressure, temperature, humidity, airflow), processes this information, and generates unified alerts or notifications. This intermediary component consolidates complex multi-sensor data into actionable insights, improving system reliability through comprehensive monitoring while managing complexity by centralizing data processing and decision-making logic in a single controller unit.
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
Enhances HVAC system efficiency by optimizing filter replacement timing, reducing energy consumption, and predicting potential failures through continuous monitoring and data analysis, thereby extending equipment lifespan and minimizing downtime.
Implementation Method 1
simultaneously measure a pressure differential between a room side of the air filter and a duct side of the air filter
Implementation Method 2
measure frequency characteristics of a sound produced by the furnace during operation
Data Source
AI summary
A monitoring system for apparatus and systems in commercial and residential properties is provided. The monitoring system consists of a head unit and a tail unit, each of which has one or more sensors that measure performance parameters that are important to understanding the performance of the apparatus and system being monitored. As an example, an HVAC system may be monitored to determine when an air filter needs to be changed, or to predict when failure of the HVAC system may be imminent. The sensor array in the head unit and tail unit measure performance and report alerts and historical system performance to users through a mobile app, social media accounts, or any other system for communicating over a wired or wireless network connection.