Intelligent Presence Detection Control for Adaptive Operating Modes

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Solution Overview

Problem

Conventional control systems lack the flexibility and intelligence to adaptively select operational modes and adjust control outputs based on the presence or absence of entities within a controlled environment, leading to inefficiencies and incorrect inferences.

Innovation Solution

Intelligent controllers that utilize sensor output and electronically stored information, such as rules and parameters, to determine the presence or absence of entities, adjust control schedules, and continuously refine their parameters to minimize errors and maximize efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional control systems are used, then system structure is simple, but the system lacks flexibility and intelligence to adaptively select operational modes based on entity presence

Engineering Contradiction:

Improveflexibility to adaptively select operational modesVSAvoidsystem structure complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The control system incorporates feedback mechanisms where sensor outputs are continuously monitored and fed back to the controller. The controller uses this feedback information along with electronically stored rules and parameters to dynamically determine entity presence and adjust operational modes accordingly, enabling adaptive behavior while maintaining manageable system complexity through structured feedback loops

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The control system employs electronically stored rules and parameters that enable the system to automatically determine entity presence and select operational modes without external intervention. The system serves itself by using its own sensor outputs and stored knowledge to make autonomous control decisions, reducing the need for complex external control architecture

Inventive Principle:

Principle #25Self-service

2Measurement precision

If conventional control systems are used, then device complexity is low, but measurement precision of entity presence is insufficient leading to incorrect inferences

Engineering Contradiction:

Improveaccuracy of entity presence determinationVSAvoidcontroller complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system introduces electronically stored rules and parameters as intermediary elements between sensor outputs and control decisions. These intermediaries process and interpret sensor data according to predefined logic, improving the precision of entity presence determination while keeping the controller complexity manageable through structured rule-based processing rather than complex algorithms

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system replaces traditional mechanical or simple electronic presence detection with an intelligent control approach that uses sensor outputs combined with electronically stored rules and parameters. This substitution enables more precise presence determination by processing sensor information through logical rules rather than simple threshold-based mechanical switches

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If conventional control systems are used, then system operation is straightforward, but productivity and efficiency are reduced due to inability to optimize based on presence

Engineering Contradiction:

Improvesystem efficiencyVSAvoidoperational complexity

Core Design Contradiction:

ProductivityVSEase of operation

Solution Approach 1:

The system performs preliminary actions by pre-storing rules and parameters that guide control decisions. When entity presence is detected, the controller immediately applies the appropriate pre-defined rules to select optimal operational modes, enabling efficient system optimization without requiring complex real-time decision-making processes that would complicate operation

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system optimizes productivity by dynamically changing control parameters and operational modes based on detected entity presence. The controller adjusts system parameters such as operational mode selection, control setpoints, and actuator commands according to presence information, enabling efficiency optimization while maintaining ease of operation through automated parameter adjustment rather than manual intervention

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS10030880B2Automated presence detection and presence-related control within an intelligent controller

Publication Date: 2018.07.24 GOOGLE LLC

AI summary

The current application is directed to intelligent controllers that use sensor output and electronically stored information, including one or more of electronically stored rules, parameters, and instructions, to determine whether or not one or more types of entities are present within an area, volume, or environment monitored by the intelligent controllers. The intelligent controllers select operational modes and modify control schedules with respect to the presence and absence of the one or more entities. The intelligent controllers employ feedback information to continuously adjust the electronically stored parameters and rules in order to minimize the number of incorrect inferences with respect to the presence or absence of the one or more entities and in order to maximize the efficiency by which various types of systems controlled by the intelligent controllers carry out selected operational modes.