Hood Filter Diagnostic Machine for Airflow and Grease Testing

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Solution Overview

Problem

Commercial kitchen exhaust systems face challenges in efficiently evaluating and optimizing hood filter performance due to grease accumulation and airflow resistance, leading to inefficiencies, energy consumption, and fire hazards.

Innovation Solution

A compact diagnostic machine with a sealed filter chamber, airflow and pressure sensors, and a precision load cell to measure airflow (CFM), static pressure drop, and grease buildup, integrated with a microcontroller for real-time data display and wireless transmission, ensuring accurate and efficient maintenance scheduling.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional manual evaluation methods are used for hood filter performance, then device complexity is reduced, but measurement precision and reliability of filter performance evaluation deteriorate

Engineering Contradiction:
Improvefilter performance evaluation accuracyVSAvoiddiagnostic machine complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The diagnostic machine is divided into distinct functional modules: a sealed chamber for filter placement, airflow generation system with blower, measurement systems for CFM and static pressure, and a load cell for grease weight measurement. Each module independently performs a specific function, enabling precise measurements while simplifying the overall system architecture and maintenance.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The diagnostic machine integrates multiple measurement capabilities (CFM measurement, static pressure drop measurement, and grease buildup weight measurement) into a single unified device. This multi-functional approach improves measurement precision across all parameters while avoiding the need for multiple separate evaluation tools, thereby managing device complexity effectively.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Reliability

If comprehensive sensor integration is implemented for real-time monitoring, then reliability of diagnostic data improves, but device complexity and manufacturing cost increase

Engineering Contradiction:
Improvediagnostic data accuracyVSAvoidsensor integration complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent combines multiple sensor types (CFM sensor, differential pressure sensors, and load cell) within a single integrated diagnostic machine housing. The microcontroller unit centrally processes data from all sensors, merging their functions into one coordinated system. This approach ensures reliable comprehensive diagnostic data while managing complexity through unified control and a single chassis.

Inventive Principle:
Principle #5Merging (Combining)

3Measurement precision

If a sealed chamber design is used for accurate measurement, then measurement precision improves, but ease of operation for filter installation and removal deteriorates

Engineering Contradiction:
Improveairflow measurement accuracyVSAvoidfilter installation ease
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The sealed chamber is pre-configured with a filter holder and gasket seal system before the filter is installed. The blower and airflow paths are pre-positioned to automatically align with the filter when placed in the holder. This preliminary preparation ensures that when the user installs the filter, the sealed environment is immediately established, maintaining measurement precision while simplifying the user's task to a straightforward filter placement and door closure.

Inventive Principle:
Principle #10Preliminary action

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 operational efficiency, reduces energy consumption, and mitigates fire risks by providing data-driven maintenance schedules and optimizing filter performance in commercial kitchens.

Implementation Method 1

Equipped with a precision load cell, differential pressure sensors, and a digital interface, the system provides real-time diagnostic data

Methodology Applied
Scientific EffectGravitation: Gravitation

Implementation Method 2

The machine incorporates a sealed filter chamber, airflow inlet and outlet ducts, and a suite of sensors to measure critical parameters, including airflow (CFM), static pressure drop

Methodology Applied
Scientific EffectPressure drop: Pressure Drop

Data Source

PatentUS12449344B1Hood filter diagnostic machine
Publication Date: 2025.10.21 HASSELIUS DUSTIN
  • US12449344B1 patent drawing
  • US12449344B1 patent drawing

AI summary

The present invention is a diagnostic machine designed to evaluate the performance of kitchen exhaust hood filters in commercial settings. The machine measures critical parameters, including airflow (CFM), static pressure drop, and grease buildup weight, to optimize filter maintenance schedules. It features a sealed filter chamber accommodating standard hood filters, a centrifugal blower for controlled airflow generation, and a honeycomb flow straightener to ensure laminar airflow. Integrated sensors provide precise measurements: a CFM sensor for airflow volume, differential static pressure sensors for pressure drop, and a load cell scale for grease weight. The device includes a digital interface with a 7-inch touchscreen for real-time data display, logging, and wireless transmission via Wi-Fi or Bluetooth. Constructed with durable, corrosion-resistant materials, the machine is designed for stationary use in commercial kitchens, offering a compact, reliable, and user-friendly solution to improve energy efficiency, reduce fire risks, and extend the lifespan of exhaust systems.