KONINKLIJKE PHILIPS N.V. (20240333549). RULE MODIFICATION AT AN AUTOMATION SYSTEM simplified abstract
Contents
- 1 RULE MODIFICATION AT AN AUTOMATION SYSTEM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 RULE MODIFICATION AT AN AUTOMATION SYSTEM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Dynamic Rule Modification Technology
- 1.13 Original Abstract Submitted
RULE MODIFICATION AT AN AUTOMATION SYSTEM
Organization Name
Inventor(s)
RAMACHANDRA Rao Ganesh of GRONINGEN (NL)
ANDRII Semenov of DRACHTEN (NL)
RULE MODIFICATION AT AN AUTOMATION SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240333549 titled 'RULE MODIFICATION AT AN AUTOMATION SYSTEM
Simplified Explanation
The patent application describes a method for modifying a rule at a control hub connected to devices that deliver audio and/or visual information. The method involves acquiring a base routine rule layer, sensor data, and device data, determining interfering events, generating an additional routine rule layer, executing it, and storing it in a rule database.
- Acquiring a base routine rule layer based on historical data of a user's routine.
- Acquiring sensor data and device data from connected devices.
- Determining interfering events that conflict with the base routine rule layer.
- Generating an additional routine rule layer based on the sensor and device data.
- Executing the additional routine rule layer.
- Storing the additional routine rule layer in a rule database at the control hub.
Key Features and Innovation
- Utilizes historical data to create a base routine rule layer.
- Adapts to interfering events by generating an additional routine rule layer.
- Enhances control hub functionality by modifying rules based on real-time data.
- Improves user experience by dynamically adjusting device control rules.
Potential Applications
This technology can be applied in smart home systems, security systems, and automated control systems in various industries.
Problems Solved
Addresses the challenge of adapting control rules to real-time events. Enhances the efficiency and effectiveness of device control in dynamic environments.
Benefits
Improves user experience by ensuring devices respond appropriately to changing conditions. Increases the flexibility and adaptability of control hubs in managing connected devices.
Commercial Applications
Title: Dynamic Rule Modification Technology for Smart Devices This technology can be commercialized in smart home automation systems, security companies, and industrial automation sectors. It offers a competitive edge by providing real-time rule modifications for enhanced device control.
Prior Art
Readers can explore prior patents related to dynamic rule modification in control hubs and smart devices to gain a deeper understanding of the technological landscape.
Frequently Updated Research
Stay updated on advancements in real-time data processing, machine learning algorithms for rule modification, and IoT device integration for control hubs.
Questions about Dynamic Rule Modification Technology
How does this technology improve user experience in smart home systems?
This technology enhances user experience by dynamically adjusting device control rules based on real-time data, ensuring devices respond effectively to changing conditions.
What industries can benefit from the application of this technology?
Various industries such as smart home automation, security systems, and industrial automation can benefit from the flexibility and adaptability offered by this technology.
Original Abstract Submitted
according to an aspect, there is provided a computer-implemented method for modifying a rule at a control hub, wherein the control hub is connected to one or more devices and is configured to deliver at least one of audio and/or visual information. the method comprises: acquiring () a base routine rule layer for controlling the devices in a usage scenario, wherein the base routine rule layer is based on historical data associated with a routine of a user; acquiring () sensor data and/or device data from at least one of the one or more devices; determining () whether there is an interfering event based on evaluation of the sensor data and/or device data, wherein the interfering event conflicts with the base routine rule layer; generating (), upon determining that there is an interfering event, an additional routine rule layer based on the sensor data and/or device data; executing the additional routine rule layer; and storing the additional routine rule layer in a rule database at the control hub.
