18624611. DETERMINING CAUSAL MODELS FOR CONTROLLING ENVIRONMENTS simplified abstract (3M INNOVATIVE PROPERTIES COMPANY)

DETERMINING CAUSAL MODELS FOR CONTROLLING ENVIRONMENTS

Organization Name

3M INNOVATIVE PROPERTIES COMPANY

Inventor(s)

Gilles J. Benoit of Minneapolis MN (US)

Brian E. Brooks of St. Paul MN (US)

Peter O. Olson of Andover MN (US)

Tyler W. Olson of Woodbury MN (US)

Himanshu Nayar of St. Paul MN (US)

Frederick J. Arsenault of Stillwater MN (US)

Nicholas A. Johnson of Woodbury MN (US)

DETERMINING CAUSAL MODELS FOR CONTROLLING ENVIRONMENTS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18624611 titled 'DETERMINING CAUSAL MODELS FOR CONTROLLING ENVIRONMENTS

The patent application describes methods, systems, and apparatus for determining causal models for controlling environments using internal parameters of a control system.

• Control settings for the environment are selected based on internal parameters of the control system, including a first set of internal parameters defining previously received performance metric values.
• Performance metric values are obtained for each selected control setting.
• The system determines that generating a causal model for a particular controllable element would result in higher system performance.
• The first set of internal parameters is adjusted based on the determination.

Potential Applications: - Environmental control systems in smart buildings - Industrial automation processes - Energy management systems

Problems Solved: - Optimizing control settings for improved system performance - Enhancing efficiency in controlling complex environments

Benefits: - Increased system performance and efficiency - Cost savings through optimized control settings - Enhanced user experience in controlled environments

Commercial Applications: Title: "Advanced Environmental Control Systems for Smart Buildings" This technology can be utilized in commercial buildings, factories, and other industrial settings to improve energy efficiency, reduce operational costs, and enhance overall system performance.

Questions about the technology: 1. How does this technology impact energy consumption in controlled environments? - The technology optimizes control settings to reduce energy consumption and improve efficiency. 2. What are the potential cost savings associated with implementing this technology? - By optimizing control settings, businesses can save on operational costs and improve overall performance.

Original Abstract Submitted

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining causal models for controlling environments. One of the methods includes repeatedly selecting, by a control system for the environment, control settings for the environment based on internal parameters of the control system, wherein: at least some of the control settings for the environment are selected based on a causal model, and the internal parameters include a first set of internal parameters that define a number of previously received performance metric values that are used to generate the causal model for a particular controllable element; obtaining, for each selected control setting, a performance metric value; determining that generating the causal model for the at particular controllable element would result in higher system performance; and adjusting, based on the determining, the first set of internal parameters.