Abstract: An abnormality detector includes a signal output unit for detecting a sign of an abnormality based on a physical quantity acquired from a manufacturing machine and outputting a signal; and a machine learning device including state observation unit for observing, as a state variable representing a present state of the environment, physical quantity data indicating the physical quantity related to an operation of the manufacturing machine from the manufacturing machine; a label data acquisition unit for acquiring, as label data, operation state data indicating an operation state of the manufacturing machine; a learning unit for learning the operation state of the manufacturing machine with respect to the physical quantity, using the state variable and the label data; and an estimation result output unit for estimating the operation state of the manufacturing machine using a learning result by the learning unit and outputting an estimation result.

Abstract: In one embodiment, a remote monitoring system for a fluid applicator system is disclosed. The fluid applicator system is disposed to heat and pump spray fluid, and to transmit reports including sensed temperatures, pressures, and other operational parameters of the fluid applicator system via a wireless network. The remote monitoring system comprises a data storage server, and an end user interface. The data storage server is configured to receive and archive the reports. The end user interface is configured to provide a graphical user interface based on the reports. The graphical user interface illustrates a status of the fluid handling system, sensed and commanded temperatures of the fluid handling system, sensed and commanded pressures of the fluid handling system, and usage statistics of the fluid handling system.

Abstract: Described are platforms, systems, and methods to discover relationships among equipment in automated industrial or commercial environments by looking for synchrony in state changes among the equipment. The platforms, systems, and methods identify a plurality of data sources associated with an automation environment; detect one or more events or one or more state changes in the data sources; store the detected events or state changes; detect synchrony in the detected events or state changes by performing operations comprising: identifying combinatorial pairs of data sources having an event or state change within a predetermined time window; and conducting pairwise testing for each identified combinatorial pair of data sources by applying an algorithm to the stored detected events or state changes; and determine one or more relationships for at least one identified combinatorial pair of data sources.

Abstract: An automated system for identifying a watering zone malfunction includes a sensor and a controller. The watering zone includes a valve that couples an input conduit to an output conduit. The output conduit terminates at one or more water distributors. The sensor is for capturing mechanical perturbations of the watering zone. The controller is configured to: store a profile defining at least one profile parameter based upon a transient operation of the zone in an intact state, receive the signal from the sensor during a watering operation when the zone is in an unknown state, compute a operation parameter based upon the signal for at least one time window of receiving the signal, determining a malfunction exists, and determine whether to take further action based upon the comparison.

Abstract: An air handling unit control system is applied to an air handling unit having a plurality of hardware devices. The air handling unit control system includes at least one expansion module and a main controller. The at least one expansion module is configured to be electrically connected to at least one expanded hardware device. The main controller is electrically connected to the expansion module to control the expanded hardware device. The main controller provides a setting interface according to the hardware devices and the expanded hardware device. The setting interface includes a plurality of setting items. When at least one of the setting items is triggered, the main controller executes a corresponding setting procedure according to the triggered setting item to set up the hardware devices and the expanded hardware device.

Abstract: Provided is a window shading system including a means for shading one or more windows; a means for manually controlling at least one window shading setting; one or more sensors; a processor; and a tangible, non-transitory, machine readable medium storing instructions that when executed by the processor effectuates operations including capturing, with the one or more sensors, environmental data of surroundings; predicting, with the processor, the at least one window shading setting using a learned function of an artificial neural network that relates the environmental data to the at least one window shading setting; and, applying, with the processor, the at least one window shading setting predicted to the window shading system.

Abstract: Described are platforms, systems, and methods for mapping data found in connected equipment from a manufacturer's selected schema, format, and protocol to a normalized data model. The platforms, systems, and methods identify a plurality of data sources associated with an automation environment; retrieve data from at least one of the identified data sources; generate a plurality of data source mapping profiles, each data source mapping profile specific to a particular data source configuration; maintain a data store comprising the plurality of data source mapping profiles; select a data source mapping profile specific to the at least one identified data source configuration; and apply an algorithm to map the retrieved data to a predetermined ontology based on the selected data source mapping profile for the at least one identified data source.

Abstract: Logical boundaries enclosing a physical area are defined. A segment of the logical boundaries is defined as a directional gate, wherein traversing the gate into the physical area is defined as an ingress and traversing the gate out of the physical area is defined as an egress. The directional gate is monitored, and ingresses and egresses are detected. An occupancy count of the physical area is maintained, based on monitoring the gate and detecting ingresses and egresses. One or more conditions are tracked in addition to the occupancy count. Artificial intelligence (AI) processing is applied to the maintained occupancy count and the additional tracked condition(s), in real-time as the monitoring, maintaining and tracking are occurring. One or more responsive actions are automatically taken as a result of applying the AI processing to the maintained occupancy count and the additional tracked condition(s).

Abstract: A power prediction system includes a battery removably mounted on an electric power device using electric power, a charging device configured to charge the battery, and a power prediction device configured to predict an amount of electric power capable of being supplied by the charging device to outside of the charging device through machine learning on the basis of usage information indicating at least one of the usage state and the usage environment of the charging device.

Abstract: A method includes sensing a level of ultraviolet radiation in an environment in which an electronic device is present, detecting an environmental condition of the electronic device based upon the sensed level of ultraviolet radiation, and controlling the operation of the electronic device based upon the detected environmental condition. The detected environmental condition may include an indoor condition, outdoor condition, near-window condition, near-door condition, and in-vehicle condition of the electronic device. Controlling the operation of the electronic device based upon the detected environmental condition may include selectively activating and deactivating components of the device based on the detected environmental condition to reduce power consumption of the device.

Abstract: Dental retainer devices are provided. The dental retainer devices can be customized based on patient specific dental anatomy and dental treatment plans. Methods of making the dental retainer devices are also provided. The methods can included additive manufacturing. Methods are also provided for customization of a dental retainer device based on the patient specific anatomy. The methods for customization can include providing a dentist with different options for anterior teeth coverage, posterior teeth coverage, and palatal configurations for the dental retainer devices.

Abstract: A position sensing tool for enabling topographical measurements of a working surface is provided. The tool includes sensors for mapping the tool environment and for positioning of the tool within the environment. The tool enables tracking of tool activity within the environment. The tool enables design and fabrication collaboration with other computer systems. The tool enables user and tool environment safety using tool positional, user position and tool environment awareness. Certain embodiments of the tool permit automated guidance of tasks in the tool environment.

Abstract: An environmental control system for a building space including heating, ventilation, or air conditioning (HVAC) equipment that operates to control a temperature of the building space. The system includes lighting equipment that operates to control a luminosity and affect a heat load disturbance for the building space. The system includes an environmental controller including a processing circuit configured to predict the heat load disturbance based on potential operating states of the lighting equipment over a time period. The heat load disturbance affects the temperature of the building space. The processing circuit is configured to generate control decisions for the HVAC and lighting equipment based on the predicted heat load disturbance and subject to constraints on the temperature and luminosity of the building space. The processing circuit is configured to operate the HVAC and lighting equipment based on the control decisions.

Abstract: A control apparatus comprises: a first acquisition unit configured to acquire information indicating charging and discharging performance of an electric power device and environmental information on the electric power device; a second acquisition unit configured to acquire information indicating a characteristic of operation of charging and discharging the electric power device; a correction unit configured to correct the information indicating the charging and discharging performance of the electric power device on the basis of the environmental information; and a control unit configured to control the operation of charging and discharging the electric power device according to a management plan, the management plan being based on the information indicating the charging and discharging performance corrected by the correction unit and the information indicating the characteristic of the operation of charging and discharging the electric power device.

Abstract: Techniques regarding autonomously controlling one or more chemical reactors using generative machine learning models are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a model component that can build a generative machine learning model based on training data regarding a past chemical reactor operation. The generative machine learning model can generate a recommended chemical reactor control setting for experimental discovery of a polymer.

Abstract: A furniture drive includes a control device, an electromotive adjustment drive, and a manual control with a manual operator control unit which is connected to the control device via a cable for activating the adjustment drive via a first transmission path for operator control commands. The furniture drive further includes an adapter which is coupled to the control device to establish a second transmission path for operator control commands.

Abstract: The disclosure relates to a vehicle and a method of controlling the vehicle. It is possible to determine whether the charger is normal or abnormal for each charger of the charging station, to guide the path to the charging station based on determination information, and to share the determination information with other users for the convenience of the users. The method of controlling the vehicle includes obtaining, by a receiver, information of a charger, information of a charging vehicle, and information of charging history of the charger and the charging vehicle; calculating, by a calculator, an expected output and an actual output of the charger based on the obtained information; and classifying, by a controller, the charger as an abnormal charger when the actual output of the charger is smaller than the expected output of the charger.

Abstract: A control system of a tape feeder that includes a reel on which is wound component supply tape, and a tape feeding device configured to draw out the component supply tape from the reel to a component pickup position, the control system including a sensor configured to detect information relating to a remaining amount of the tape on the reel; and a motor control section configured to change an operation parameter of a motor that is a drive source of the tape feeding device based on the tape remaining amount information detected by the sensor. Specifically, the motor control section changes the operation parameter of the motor so as to reduce the motor torque as the tape remaining amount on the reel decreases, based on the tape remaining amount information detected by the sensor.

Abstract: A control device includes: an input information storage unit that stores track record input information that is information regarding an input signal having a track record; an artificial intelligence control unit that controls a control target using artificial intelligence based on the input signal; and an input signal evaluation unit that judges whether a value of the input signal is within a range having a track record based on the track record input information and, if the value of the input signal is within the range having the track record, permits transmission of the input signal to the artificial intelligence control unit. The safety of the control device using artificial intelligence is enhanced.

Abstract: A method for forming a part layer by layer using an additive manufacturing apparatus. The additive manufacturing apparatus includes a resin support, a stage, a measuring system, and an actuator configured to change the relative position of the stage and the resin support. The method includes the steps of: performing an additive manufacturing cycle including the following steps: depositing an uncured layer of resin; moving the stage to a target location; curing the uncured layer of resin; and moving the stage away from the target location; repeating the additive manufacturing cycle; performing a measuring process wherein the measuring process includes the following steps: using the measuring system to take a measurement indicative of an actual position of a structure; comparing the actual position of the structure to an expected position of the structure to determine an error; and using the error to modify the target location.