Control device and control system

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Solution Overview

Problem

Existing ventilation systems lack efficient methods to manage the differential lifespans of filters and fans across multiple ventilation devices, leading to uneven wear and increased maintenance costs and potential ventilation impairment.

Innovation Solution

A control device that acquires information on the operating time and environmental conditions affecting the life of filters and fans in ventilation devices, allowing coordinated operation to synchronize maintenance schedules and reduce costs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If multiple ventilation devices operate independently without coordinated control, then each device can function autonomously, but the filters and fans experience uneven wear leading to increased maintenance costs and potential ventilation impairment

Engineering Contradiction:
Improveventilation system reliabilityVSAvoidmaintenance time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent merges the control of multiple ventilation devices into a single coordinated control system that manages filters and fans across all devices. By combining individual device operations under unified control, the system synchronizes maintenance timing, ensures balanced workload distribution, and prevents uneven wear, thereby improving overall reliability while optimizing maintenance scheduling.

Inventive Principle:
Principle #5Merging (Combining)

2Ease of manufacture

If maintenance is performed on each ventilation device independently, then maintenance can be done whenever needed, but it leads to increased maintenance costs and potential ventilation impairment due to unsynchronized operations

Engineering Contradiction:
Improvemaintenance costVSAvoidventilation performance
Core Design Contradiction:
Ease of manufactureVSReliability

Solution Approach 1:

The control device performs preliminary actions by predicting the lifespan of filters and fans using machine learning models before actual failure occurs. It proactively schedules maintenance at optimal times when multiple components reach their maintenance thresholds simultaneously, preventing unexpected failures and ensuring continuous ventilation performance while reducing overall maintenance costs through planned interventions.

Inventive Principle:
Principle #10Preliminary action

3Loss of time

If the control system synchronizes maintenance of all filters and fans, then maintenance costs are reduced and ventilation impairment is minimized, but the system complexity increases

Engineering Contradiction:
Improvemaintenance frequencyVSAvoidcontrol system complexity
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

The control system implements feedback mechanisms by continuously monitoring the operational status, environmental conditions, and predicted lifespan of filters and fans across multiple ventilation devices. This feedback loop enables the system to dynamically adjust maintenance scheduling, synchronize replacement timing, and optimize resource allocation, achieving cost reduction and performance maintenance while managing complexity through intelligent automation.

Inventive Principle:
Principle #23Feedback

4Measurement precision

If environmental conditions are not considered in maintenance scheduling, then maintenance can be performed on a fixed schedule, but it leads to inaccurate lifespan predictions and suboptimal maintenance timing

Engineering Contradiction:
Improvelifespan prediction accuracyVSAvoiddata processing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system applies parameter changes by incorporating environmental conditions (temperature, humidity, air quality) as dynamic variables in the machine learning models that predict filter and fan lifespan. These parameter changes enable more accurate predictions of component degradation rates, allowing the control device to adjust maintenance timing based on actual operating conditions rather than fixed schedules, thereby improving prediction accuracy while managing data processing complexity through efficient algorithms.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS12544922B2Control device and control system
Publication Date: 2026.02.10 DAIKIN INDUSTRIES LTD
  • US12544922B2 patent drawing
  • US12544922B2 patent drawing
  • US12544922B2 patent drawing

AI summary

A control device includes an acquisition unit and a control unit. The acquisition unit acquires first information indicating information on an operating time of a first device and an environmental condition that influences a life of a first instrument provided for the first device, and information on an operating time of a second device and an environmental condition that influences a life of a second instrument provided for the second device. The control unit operates the first device and the second device in conjunction with each other based on the first information acquired by the acquisition unit.