Elliptec Resonant Actuator Ag

Vigilent Corporation

Siemens Technology-to-business Center, LLC

Other

Peter Christian Varadi

Bjoern B Magnussen

Clifford Conrad Federspiel

Benjamin Hagemann

Erick Mathew Davidson

Dieter A Schuler

Irving S Scher

Steven Michael Schofield

Daniel N Miller

Kennard White

Jerry Chin

Steven David Horowitz

Willem Maas

Cedric J Clotilde

Dirk J Van Vinckenroye

James Patrick Rynne

Kai Wolf

Benjamin Casey

Robert W Thronson

Björn B Magnussen

Erick Davidson

Björn Magnussen

Steven Schofield

Embodiments provide a machine learning model to identify changes in setpoints of one or more environmental control modules that, while having a high critical error, provide greater reductions in a cost function associated with the one or more environmental modules provided in an environmentally controlled space. The high critical error associated with the identified changes may still be within an acceptable threshold range associated with the environmentally controlled space. Thus, contrary to rule-based methods, the artificial intelligence (AI) based model described herein may recommended optimal changes to the system that yield to greater savings in the cost function and may not focus on minimizing the critical control error. Rather, the AI-based technique may simply aim at keeping the critical control error within an acceptable threshold range.

Optimal control with deep learning

Embodiments determine the effect of an environmental maintenance device on other environmental maintenance devices in environmentally controlled space. The determined effects may be modeled and graphically represented using, for example, an effectiveness map. In the case of a data center, an exemplary effectiveness map may illustrate the effect that one or more computer room air conditioners (CRACs) have on themselves and on other CRACs in the data center. In the case of an office building, an exemplary effectiveness map may illustrate the effect that one or more selected variable air volume (VAV) terminal units have on their own thermostat readings and the thermostat readings of other VAV terminal units in the office building.

Effectiveness maps

A computer implemented method and system for an automated customer service platform with human augmented conversational interleaving is disclosed. The method comprises estimating a latent load of the air in a zone being disinfected; selecting a set of one or more control from a plurality of control that is expected to improve the optimization metric; optimizing a metric for the set of allowable control and changing the setpoints of the set of control when the optimized metric has converged.

System and method for controlling the heating, ventilation, and air conditioning (HVAC) in a building to defend against pathogens

Methods are provided for calculating a reserve value or a risk value for various locations in an environmentally-controlled space such as a data center, and using the reserve value or risk value to allocate environmental maintenance modules and/or load. For example, an influence model can predict a change in a sensor value at a location for a corresponding change in an operation level of an actuator of one of the environmental maintenance modules. Based on the influence model and an operation level of the actuator, a reserve value can be determined for the location. A risk value for the location can be determined using a risk metric that may use the reserve value, a current sensor value at the location, and a threshold sensor value at the location.

Point-based risk score for managing environmental systems

A method and apparatus for providing environmental management in a monitored facility. In one embodiment, the method comprises obtaining at least one mathematical expression representing the behavior of at least one piece of equipment in a monitored equipment housing facility; and generating, for the at least one piece of equipment and using the at least one mathematical expression, a predicted impact of an operational state of the at least one piece of equipment.

Method and apparatus for providing environmental management using smart alarms

Systems and methods are described for updating an influence model used to manage physical conditions of an environmentally controlled space. A method comprises operating an environmental maintenance system in a first production mode with the influence model until an event causes the system to enter a second production mode. In the second production mode a first actuator's operation level is varied and operation levels of other actuators are optimized. The influence model is adjusted based on the operation levels.

Influence learning for managing physical conditions of an environmentally controlled space by utilizing a calibration override which constrains an actuator to a trajectory

The present invention is directed to methods and apparatuses for environmental management using a smart alarm comprising, receiving one or more readings from one or more sensors, wherein the sensors are of at least one or more distinct logical types, generating one or more derived points representing the one or more readings from the sensors and alerting one or more alarm units when the derived points satisfy an alarm condition.

Methods, systems, and apparatuses are provided for controlling an environmental maintenance system that includes a plurality of sensors and a plurality of actuators. The operation levels of the actuators can be determined by optimizing a cost function subject to a constraint, e.g., having no more than a certain number of sensors that are out of range. A predictor model can predict whether certain operation levels of the actuators violate the constraint. The search for acceptable operation levels (i.e., ones that do not violate constraints) can be performed by analyzing points on lines in an N-dimensional space, where N is the number of actuators. The subset of acceptable operation levels along with a cost function (e.g., that incorporates energy consumption information) can be used to change operation levels of the modules to keep the temperatures within a desired range while using minimal energy.

Multi-dimensional optimization for controlling environmental maintenance modules

A piezoelectric motor comprising a vibratory element is configured to move a first driven element by vibrations generated by the vibratory element. A second driven element is brought into frictional contact with the first driven element to form a multistage piezoelectric drive system. Alternatively, a selected contacting portion on a support for the first driven element is provided for drivingly engaging the second driven element. The system is configured to also move the second driven element by vibrations generated by the vibratory element, these vibrations being transmitted from the vibratory element into the first driven element and possibly also into the support for the first driven element. The system is preferably configured to move the first and second driven elements independently from each other using only electric signals that are applied to the same one vibratory element.

Multistage piezoelectric drive

A T-shaped blade, or one or more hollow tubes, are vibrationally excited by one or more piezoelectric elements to generate an airflow from a free end of the blade or tube(s). The airflow may be directed to, or drawn away from, an electronic component to cool the electronic component.

Small piezoelectric air pumps with unobstructed airflow

The invention relates to a piezoelectric motor comprising a piezoelectric component that is connected to a resonator and a two-dimensional resonator that interacts with a movable. element, the resonator having principal surfaces that are parallel to each other and that are also identical in shape and size. The invention further relates to methods for producing such piezoelectric motors, wherein the resonators are manufactured by cutting a profiled, extruded bar into lengths or by cutting, preferably by punching, from sheet metal having constant thickness. Finally, this invention relates to a method for exciting such a piezoelectric motor, wherein the excitation frequency or frequencies is/are generated by the control electronics as a function of time in response to the respective peak current and/or in response to the respective phase minimum between current and voltage and/or in response to the change in phase.

Piezoelectric motors and methods for the production and operation thereof

The present invention relates to a drive system comprising at least one motor with at least one vibration generator each as well as at least one resonator each and a device driven by said motor, wherein the resonator comprises a contact area that cooperates with the surface of the device in order to drive said device.

Piezomotor with a guide

A piezoelectric apparatus comprising a piezoelectric element that is held in static compression is manufactured using moldable materials and a molding process, e.g., injection molding or die casting. The static compression is caused by an intrinsic urge of the moldable material to expand, contract, or deform otherwise, which develops in the material during the hardening phase of the molding process. To enhance the usefulness of the device, a variety of inserts can be connected to the device and various features can be formed by the moldable material at the same time as the molding process takes place. Static preloads may also be caused by mechanically preloaded elements that are introduced during the molding process or by elements that concurrently introduced but that are permanently deformed thereafter.

Growing community of inventors

El Cerrito, CA, United States of America

Peter Christian Varadi