Siemens Building Technologies, Inc.

Wisconsin Alumni Research Foundation

Landis & Gyr Powers, Inc.

John W Mitchell

Osman Ahmed

Sanford A Klein

Warren Paul Porter

The present invention is a system and method for accurately calculating the spatial-temporal effects of a variety of environmental conditions on animal individual, population and community dynamics, given the animal's temperature-dependent behaviors, morphology and physiology, by running integrated microclimate and animal models to calculate the discretionary energy and water available to the animal and its activity time. The methodology requires relatively few, easily measured data to perform the calculations. The microclimate model translates a set of climate and other environmental conditions into a set of microclimate conditions experienced by an animal, given a set of the animal's characteristics. The animal model uses the microclimate conditions data and the set of animal characteristics data to solve for several animal conditions. Further calculations and several display options are available to a user, including spatial-temporal analyses. The method is implemented by use of a client-server system employing a graphical user interface, and a programming structure that allows for use of the methodology with personal computers, despite the large sizes of the databases that must be accessed. The method may also be implemented on individual computers.

Method and system for calculating the spatial-temporal effects of climate and other environmental conditions on animals

A controller for heating, ventilating and air-conditioning distribution systems, which includes feedforward and feedback control strategies. The controller has a feedforward control strategy that generates a control signal based on control set points and identified characteristics of the system, and which adaptively adjusts such set points based on changes that are measured with respect to the identified characteristics. The controller is particularly adapted for controlling the temperature during a heating or cooling operation in a controlled space.

Room temperature control apparatus having feedforward and feedback

A controller for heating, ventilating and air-conditioning distribution systems, which includes a feedforward and feedback control strategies. The controller has a feedforward control strategy that generates a control signal based on control set points and identified characteristics of the system, and which adaptively adjusts such set points based on changes that are measured with respect to the identified characteristics. The controller is particularly adapted for controlling the differential air pressure in a controlled space relative to adjacent spaces.

Room pressure control apparatus having feedforward and feedback control

A controller implemented in a heating, ventilation and air-conditioning (HVAC) distribution system provides improved control by implementing a general regression neural network to generate a control signal based on identified characteristics of components utilized within the HVAC system. The general regression neural network utilizes past characteristics and desired (calculated) characteristics to generate an output control signal. The general regression neural network is implemented in a feedforward process, which is combined with a feedback process to generate an improved control signal to control components within the HVAC distribution system. Implementation of the general regression neural network is simple and accurate, requires no input from an operator supervising the controller, and provides adaptive, real-time control of components within the HVAC distribution system.

Growing community of inventors

Madison, WI, United States of America

John W Mitchell