G05B13/00

Control system
11609999 · 2023-03-21 · ·

The present invention is capable of realizing normal control of a control device and safe operation of a control target. In the present invention, an automatic control unit 10 generates a control output that is output to a control target in response to an input 1. A safety verification control unit 20 is configured to verify safety of the control output at a plurality of verification levels, and controls the control output on the basis of the verification result. A verification level selection unit manages the state related to the normality of the automatic control unit 10, and selects the verification level of the safety of the control output in the safety verification control unit 20 in accordance with the state.

Control elements for tracking and movement of furniture and interior architectural elements

Improved systems and methods for operating moveable architectural elements (e.g., furniture) are described. The system can include improved features implemented throughout various elements, including hardware elements, controller elements, and/or software elements. As one example, the system can feature the ability to map a characteristic load profile across a particular length of actuation and, if during operation a measured load exceeds the profile, adjust (e.g., stop) the system's motion. The system can also advantageously map its current draw to increase energy efficiency. In addition, the system can include a positioning system that enables it to automatically determine its position upon start up and during operation. In some implementations, the system includes multiple moveable elements (e.g., furniture items). In some cases, power is distributed to the moveable element(s) using a moveable power distribution module. Many other improvements and features are contemplated and described.

Control elements for tracking and movement of furniture and interior architectural elements

Improved systems and methods for operating moveable architectural elements (e.g., furniture) are described. The system can include improved features implemented throughout various elements, including hardware elements, controller elements, and/or software elements. As one example, the system can feature the ability to map a characteristic load profile across a particular length of actuation and, if during operation a measured load exceeds the profile, adjust (e.g., stop) the system's motion. The system can also advantageously map its current draw to increase energy efficiency. In addition, the system can include a positioning system that enables it to automatically determine its position upon start up and during operation. In some implementations, the system includes multiple moveable elements (e.g., furniture items). In some cases, power is distributed to the moveable element(s) using a moveable power distribution module. Many other improvements and features are contemplated and described.

Predictive pump station and pipeline advanced control system

A method and controller for operating a pumping station. The method includes receiving (1102), by at least one controller (910, 952), sensor data (712) of a first pumping station (900) corresponding to a liquid being transported from the first pumping station (900). The method includes predicting (1104) arrival of the liquid, by the at least one controller (910, 952), at a second pumping station (900). The method includes executing (1106) one or more pump models (720), by the at least one controller (910, 952), according to the sensor data (712) to determine an optimal pumping configuration. The method includes operating (1108) one more pumps of the second pumping station (900), by the at least one controller (910, 952), according to the optimal pumping configuration.

Predictive pump station and pipeline advanced control system

A method and controller for operating a pumping station. The method includes receiving (1102), by at least one controller (910, 952), sensor data (712) of a first pumping station (900) corresponding to a liquid being transported from the first pumping station (900). The method includes predicting (1104) arrival of the liquid, by the at least one controller (910, 952), at a second pumping station (900). The method includes executing (1106) one or more pump models (720), by the at least one controller (910, 952), according to the sensor data (712) to determine an optimal pumping configuration. The method includes operating (1108) one more pumps of the second pumping station (900), by the at least one controller (910, 952), according to the optimal pumping configuration.

VENTILATION CONTROL SYSTEM
20220315182 · 2022-10-06 ·

An aeration control system and method for a marine vessel. The system includes a valve configured to be coupled to an aeration conduit of a marine vessel. The valve is configured to be responsive to a valve control signal having a first value so as to be open and to provide air to the aeration conduit, and the valve configured to be responsive to the valve control signal having a second value so as to be closed and not provide air to the aeration conduit. The aeration control system also includes a control device, electrically coupled to the valve, that provides the valve control signal to the valve

VENTILATION CONTROL SYSTEM
20220315182 · 2022-10-06 ·

An aeration control system and method for a marine vessel. The system includes a valve configured to be coupled to an aeration conduit of a marine vessel. The valve is configured to be responsive to a valve control signal having a first value so as to be open and to provide air to the aeration conduit, and the valve configured to be responsive to the valve control signal having a second value so as to be closed and not provide air to the aeration conduit. The aeration control system also includes a control device, electrically coupled to the valve, that provides the valve control signal to the valve

CUSTOMIZABLE ARTIFICIAL INTELLIGENCE SYSTEM FOR DOMAIN EXPERTS

Methods and systems are disclosed for determining a plan to optimize key performance indicators (KPIs) of an industrial process. Such a plan is determined based on generating a query for information associated with the KPIs and based on receiving user-provided object information corresponding to the KPIs. The method includes receiving, at a user interface, one or more KPIs associated with an industrial process. The method includes generating, based on the one or more KPIs, at least one query for information associated with the KPI. The method includes receiving, at the user interface, a response to the at least one query. The method includes determining, by an artificial intelligence agent, a plan for optimizing the KPI.

CUSTOMIZABLE ARTIFICIAL INTELLIGENCE SYSTEM FOR DOMAIN EXPERTS

Methods and systems are disclosed for determining a plan to optimize key performance indicators (KPIs) of an industrial process. Such a plan is determined based on generating a query for information associated with the KPIs and based on receiving user-provided object information corresponding to the KPIs. The method includes receiving, at a user interface, one or more KPIs associated with an industrial process. The method includes generating, based on the one or more KPIs, at least one query for information associated with the KPI. The method includes receiving, at the user interface, a response to the at least one query. The method includes determining, by an artificial intelligence agent, a plan for optimizing the KPI.

Control system, control method and computer storage medium

In some embodiments, a control system, a control method and a storage medium are provided. In the method, first motion information of a machine acquired by a first sensor is received; the first motion information is inputted into a deep learning model to obtain a model output, the deep learning model comprising a convolutional neural network (CNN) and a long short-term memory (LSTM); the deep learning model is trained using the first motion information and second motion information acquired by a second sensor; the first sensor and the second sensor having different ways of detecting information and processing the detected information. The model output is used to control the machine.