Patents by Inventor Carlo Masciovecchio
Carlo Masciovecchio has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20230259074Abstract: Inference server and environment controller for inferring one or more commands for controlling an appliance. The environment controller receives at least one environmental characteristic value (for example, at least one of a current temperature, current humidity level, current carbon dioxide level, and current room occupancy) and at least one set point (for example, at least one of a target temperature, target humidity level, and target carbon dioxide level); and forwards them to the inference server. The inference server executes a neural network inference engine using a predictive model (generated by a neural network training engine) for inferring the one or more commands based on the received at least one environmental characteristic value and the received at least one set point; and transmits the one or more commands to the environment controller. The environment controller forwards the one or more commands to the controlled appliance.Type: ApplicationFiled: November 30, 2022Publication date: August 17, 2023Inventors: Francois Gervais, Carlo Masciovecchio, Dominique Laplante
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Publication number: 20230251607Abstract: Method and environment controller for inferring via a neural network one or more commands for controlling an appliance. A predictive model generated by a neural network training engine is stored by the environment controller. The environment controller receives at least one environmental characteristic value (for example, at least one of a current temperature, current humidity level, current carbon dioxide level, and current room occupancy). The environment controller receives at least one set point (for example, at least one of a target temperature, target humidity level, and target carbon dioxide level). The environment controller executes a neural network inference engine, which uses the predictive model for inferring the one or more commands for controlling the appliance based on the at least one environmental characteristic value and the at least one set point. The environment controller transmits the one or more commands to the controlled appliance.Type: ApplicationFiled: November 16, 2022Publication date: August 10, 2023Inventors: Francois Gervais, Carlo Masciovecchio, Dominique Laplante
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Publication number: 20230003411Abstract: A method and computing device for inferring an airflow of a controlled appliance operating in an area of a building. The computing device stores a predictive model. The computing device determines a measured airflow of the controlled appliance and a plurality of consecutive temperature measurements in the area. The computing device executes a neural network inference engine using the predictive model for inferring an inferred airflow based on inputs. The inputs comprise the measured airflow and the plurality of consecutive temperature measurements. The inputs may further include at least one of a plurality of consecutive humidity level measurements in the area and a plurality of consecutive carbon dioxide (CO2) level measurements in the area. For instance, the controlled appliance is a Variable Air Volume (VAV) appliance and a K factor of the VAV appliance is calculated based on the inferred airflow.Type: ApplicationFiled: July 19, 2022Publication date: January 5, 2023Inventors: Francois Gervais, Dominique Laplante, Carlo Masciovecchio, Jean-Simon Boucher
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Patent number: 11543786Abstract: Inference server and environment controller for inferring one or more commands for controlling an appliance. The environment controller receives at least one environmental characteristic value (for example, at least one of a current temperature, current humidity level, current carbon dioxide level, and current room occupancy) and at least one set point (for example, at least one of a target temperature, target humidity level, and target carbon dioxide level); and forwards them to the inference server. The inference server executes a neural network inference engine using a predictive model (generated by a neural network training engine) for inferring the one or more commands based on the received at least one environmental characteristic value and the received at least one set point; and transmits the one or more commands to the environment controller. The environment controller forwards the one or more commands to the controlled appliance.Type: GrantFiled: October 9, 2020Date of Patent: January 3, 2023Assignee: DISTECH CONTROLS INC.Inventors: Francois Gervais, Carlo Masciovecchio, Dominique Laplante
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Patent number: 11526138Abstract: Method and environment controller for inferring via a neural network one or more commands for controlling an appliance. A predictive model generated by a neural network training engine is stored by the environment controller. The environment controller receives at least one environmental characteristic value (for example, at least one of a current temperature, current humidity level, current carbon dioxide level, and current room occupancy). The environment controller receives at least one set point (for example, at least one of a target temperature, target humidity level, and target carbon dioxide level). The environment controller executes a neural network inference engine, which uses the predictive model for inferring the one or more commands for controlling the appliance based on the at least one environmental characteristic value and the at least one set point. The environment controller transmits the one or more commands to the controlled appliance.Type: GrantFiled: October 13, 2020Date of Patent: December 13, 2022Assignee: Distech Controls Inc.Inventors: Francois Gervais, Carlo Masciovecchio, Dominique Laplante
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Patent number: 11428432Abstract: A method and computing device for inferring an airflow of a controlled appliance operating in an area of a building. The computing device stores a predictive model. The computing device determines a measured airflow of the controlled appliance and a plurality of consecutive temperature measurements in the area. The computing device executes a neural network inference engine using the predictive model for inferring an inferred airflow based on inputs. The inputs comprise the measured airflow and the plurality of consecutive temperature measurements. The inputs may further include at least one of a plurality of consecutive humidity level measurements in the area and a plurality of consecutive carbon dioxide (CO2) level measurements in the area. For instance, the controlled appliance is a Variable Air Volume (VAV) appliance and a K factor of the VAV appliance is calculated based on the inferred airflow.Type: GrantFiled: November 20, 2018Date of Patent: August 30, 2022Assignee: Distech Controls Inc.Inventors: Francois Gervais, Dominique Laplante, Carlo Masciovecchio, Jean-Simon Boucher
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Publication number: 20210026313Abstract: Method and environment controller for inferring via a neural network one or more commands for controlling an appliance. A predictive model generated by a neural network training engine is stored by the environment controller. The environment controller receives at least one environmental characteristic value (for example, at least one of a current temperature, current humidity level, current carbon dioxide level, and current room occupancy). The environment controller receives at least one set point (for example, at least one of a target temperature, target humidity level, and target carbon dioxide level). The environment controller executes a neural network inference engine, which uses the predictive model for inferring the one or more commands for controlling the appliance based on the at least one environmental characteristic value and the at least one set point. The environment controller transmits the one or more commands to the controlled appliance.Type: ApplicationFiled: October 13, 2020Publication date: January 28, 2021Inventors: Francois GERVAIS, Carlo MASCIOVECCHIO, Dominique LAPLANTE
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Publication number: 20210026312Abstract: Inference server and environment controller for inferring one or more commands for controlling an appliance. The environment controller receives at least one environmental characteristic value (for example, at least one of a current temperature, current humidity level, current carbon dioxide level, and current room occupancy) and at least one set point (for example, at least one of a target temperature, target humidity level, and target carbon dioxide level); and forwards them to the inference server. The inference server executes a neural network inference engine using a predictive model (generated by a neural network training engine) for inferring the one or more commands based on the received at least one environmental characteristic value and the received at least one set point; and transmits the one or more commands to the environment controller. The environment controller forwards the one or more commands to the controlled appliance.Type: ApplicationFiled: October 9, 2020Publication date: January 28, 2021Inventors: Francois GERVAIS, Carlo MASCIOVECCHIO, Dominique LAPLANTE
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Patent number: 10845768Abstract: Method and environment controller for inferring via a neural network one or more commands for controlling an appliance. A predictive model generated by a neural network training engine is stored by the environment controller. The environment controller receives at least one environmental characteristic value (for example, at least one of a current temperature, current humidity level, current carbon dioxide level, and current room occupancy). The environment controller receives at least one set point (for example, at least one of a target temperature, target humidity level, and target carbon dioxide level). The environment controller executes a neural network inference engine, which uses the predictive model for inferring the one or more commands for controlling the appliance based on the at least one environmental characteristic value and the at least one set point. The environment controller transmits the one or more commands to the controlled appliance.Type: GrantFiled: December 12, 2017Date of Patent: November 24, 2020Assignee: DISTECH CONTROLS INC.Inventors: Francois Gervais, Carlo Masciovecchio, Dominique Laplante
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Patent number: 10838375Abstract: Inference server and environment controller for inferring one or more commands for controlling an appliance. The environment controller receives at least one environmental characteristic value (for example, at least one of a current temperature, current humidity level, current carbon dioxide level, and current room occupancy) and at least one set point (for example, at least one of a target temperature, target humidity level, and target carbon dioxide level); and forwards them to the inference server. The inference server executes a neural network inference engine using a predictive model (generated by a neural network training engine) for inferring the one or more commands based on the received at least one environmental characteristic value and the received at least one set point; and transmits the one or more commands to the environment controller. The environment controller forwards the one or more commands to the controlled appliance.Type: GrantFiled: December 12, 2017Date of Patent: November 17, 2020Assignee: DISTECH CONTROLS INC.Inventors: Francois Gervais, Carlo Masciovecchio, Dominique Laplante
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Publication number: 20200158369Abstract: A method and computing device for inferring an airflow of a controlled appliance operating in an area of a building. The computing device stores a predictive model. The computing device determines a measured airflow of the controlled appliance and a plurality of consecutive temperature measurements in the area. The computing device executes a neural network inference engine using the predictive model for inferring an inferred airflow based on inputs. The inputs comprise the measured airflow and the plurality of consecutive temperature measurements. The inputs may further include at least one of a plurality of consecutive humidity level measurements in the area and a plurality of consecutive carbon dioxide (CO2) level measurements in the area. For instance, the controlled appliance is a Variable Air Volume (VAV) appliance and a K factor of the VAV appliance is calculated based on the inferred airflow.Type: ApplicationFiled: November 20, 2018Publication date: May 21, 2020Inventors: Francois GERVAIS, Dominique LAPLANTE, Carlo MASCIOVECCHIO, Jean-Simon BOUCHER
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Publication number: 20190179268Abstract: Inference server and environment controller for inferring one or more commands for controlling an appliance. The environment controller receives at least one environmental characteristic value (for example, at least one of a current temperature, current humidity level, current carbon dioxide level, and current room occupancy) and at least one set point (for example, at least one of a target temperature, target humidity level, and target carbon dioxide level); and forwards them to the inference server. The inference server executes a neural network inference engine using a predictive model (generated by a neural network training engine) for inferring the one or more commands based on the received at least one environmental characteristic value and the received at least one set point; and transmits the one or more commands to the environment controller. The environment controller forwards the one or more commands to the controlled appliance.Type: ApplicationFiled: December 12, 2017Publication date: June 13, 2019Applicant: DISTECH CONTROLS INC.Inventors: Francois GERVAIS, Carlo MASCIOVECCHIO, Dominique LAPLANTE
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Publication number: 20190179269Abstract: Method and environment controller for inferring via a neural network one or more commands for controlling an appliance. A predictive model generated by a neural network training engine is stored by the environment controller. The environment controller receives at least one environmental characteristic value (for example, at least one of a current temperature, current humidity level, current carbon dioxide level, and current room occupancy). The environment controller receives at least one set point (for example, at least one of a target temperature, target humidity level, and target carbon dioxide level). The environment controller executes a neural network inference engine, which uses the predictive model for inferring the one or more commands for controlling the appliance based on the at least one environmental characteristic value and the at least one set point. The environment controller transmits the one or more commands to the controlled appliance.Type: ApplicationFiled: December 12, 2017Publication date: June 13, 2019Applicant: DISTECH CONTROLS INC.Inventors: Francois GERVAIS, Carlo MASCIOVECCHIO, Dominique LAPLANTE
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Patent number: 10032946Abstract: A system or device for concentrating the light radiation of the type to be used for converting the solar radiation into electric current and/or thermal energy is disclosed. The device mainly having a primary optics apt to be exposed to the solar radiation and to allow the passage thereof therethrough, the primary optics being positioned on a hollow spacer member, which is perfectly aligned and at the same time locked, by means of a joint member.Type: GrantFiled: November 15, 2011Date of Patent: July 24, 2018Assignee: SOLERGY INC.Inventors: Giovanni Lanzara, Gino D'Ovidio, Francesco Crisi, Carlo Masciovecchio, Massimiliano Viola, Carlo Tulli, Fabrizio Berton, Giuseppe Berducci
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Publication number: 20150034143Abstract: A system or device for concentrating the light radiation of the type to be used for converting the solar radiation into electric current and/or thermal energy is disclosed. The device mainly having a primary optics apt to be exposed to the solar radiation and to allow the passage thereof therethrough, the primary optics being positioned on a hollow spacer member, which is perfectly aligned and at the same time locked, by means of a joint member.Type: ApplicationFiled: November 15, 2011Publication date: February 5, 2015Applicant: SOLERGY INC.Inventors: Giovanni Lanzara, Gino D'Ovidio, Francesco Crisi, Carlo Masciovecchio, Massimiliano Viola, Carlo Tulli, Fabrizio Berton, Giuseppe Berducci