Abstract: Techniques for data transmission within an industrial automation system include modeling or simulating, in accordance with a model, a plurality of devices performing one or more operations in an industrial automation system, determining, for a first operation of the one or more operations and from a plurality of categories, a category for the first operation, sending a request to the industrial automation system for data associated with the first operation at a time, wherein the data and time are determined based on the category of the first operation, receiving, from the industrial automation system, the requested data, and modifying the model based on the received data.

Abstract: Computerized system and method of manufacturing an articulated surgical device. Surgical device pathway data (often from medical scans), target and entry point location data, and design parameters in computer memory are used to automatically design, and subsequently manufacture the customized device. The device typically comprises a plurality of units, which may have varying lengths and widths, connected to other units by at least one moveable joint. The device is configured to accommodate multiple pull cables, often running from the distal to the proximal end. These cables enable an operator, often using a proximal control device, to precisely control the orientation of the distal end as the device traverses a patient's body pathways. The distal end of the device may have an effector unit configured to perform a medical task. Design and manufacture are facilitated by use of AI computerized design methods and computer controlled (CNC, laser cutting, 3D printing) methods.

Abstract: A computer-implemented method of predicting conditions of machines as well as a corresponding data processing system, computer program and computer-readable medium are disclosed. A technical specification of a machine is received. A data set including at least one current operational parameter of the machine is continuously received. A current load of the machine is continuously derived based on the provided technical specification and the received data set via a knowledge base. A current condition of the machine is continuously predicted by integrating over the derived current load and all previously derived current loads.

Abstract: Presented herein are systems and methods for automatically determining liquid coverage on plant surfaces. More particularly, in certain embodiments, presented herein is a system for receiving an image depicting one or more plant surfaces, automatically identifying the plant surfaces in the image and distinguishing portions covered by liquid, and automatically determining a liquid coverage value. In some embodiments, the system determines changes to liquid spraying parameters to achieve desired liquid coverage values. In some embodiments, the system uses two cameras to cooperatively conduct background removal in images and determination of liquid coverage.

Abstract: A method of generating a building assembly that includes spraying a coating material onto a plurality of pieces of substrate disposed on a first assembly face. The spraying includes spraying the coating material onto the plurality of pieces of substrate via a sprayer configured to apply the coating material to a target surface via a nozzle coupled with a mobile storage container storing the coating material, the coating material impregnating voids of the substrate. The method also includes allowing the coating material impregnating the voids to dry and harden and become rigid to generate the building assembly.

Abstract: The present invention discloses a feedback control system. The feedback control system comprises a plant, configured to produce an output according to a control signal; a first summing block, configured to produce a first difference between an input signal and a measured output signal; a first controller, configured to generate the control signal, such that the first difference decreases to be less than a first threshold or is less than the first threshold; wherein the first controller comprises a memory configured to store a table, and the table contains information of a plurality of transfer functions corresponding to a plurality of operating conditions; wherein the first controller determines an operating condition under which the plant operates, and chooses to utilize a transfer function corresponding to the operating condition to generate the control signal according to the transfer function and the first difference.

Abstract: A task resumption system including processing circuitry that receives a task resumption specification for task resumption by a device when the device, which sequentially performs multiple tasks, stops during processing, acquires a current state of the device, acquires a resume state corresponding to the task resumption of the device, causes the device to transition from the current state to the resume state, and causes the device to resume the task according to the resume state.

Abstract: The present disclosure relates to a thermostat including a control base configured to couple with and support a portable thermostat, wherein the control base is configured to determine a measure of an environmental condition of a local environment of the control base and communication circuitry of the control base configured to communicate the measure to facilitate control of an HVAC system.

Abstract: A method includes receiving a set of feature models, each feature model of the set of feature models corresponding to a respective feature associated with processing of a component, receiving a set of target properties for processing the component, where the set of target properties includes, for each feature, a respective target, determining, based on the set of feature models, one or more sets of predicted processing parameters in view of the set of target properties, generating one or more candidate process recipes each corresponding to a respective one of the one or more sets of predicted processing parameters, where the one or more candidate process recipes each correspond to a set of predicted properties including, for each feature, a respective predicted property value resulting from component processing, and selecting, from the one or more candidate process recipes, a process recipe for processing the component.

Abstract: A negotiation-based method and system for managing manufacturing execution system (MES) orders within a structure of distributed systems that include at least one ordering system and one or several executing systems ES. The method includes the steps of: a) creating an order for a service, the order having at least one negotiable requirement; b) distributing the order to one or several ES; c) evaluating the order by each ES and automatically determining whether the order is acceptable without negotiating or generating an offer for the service to launch a negotiation process wherein said OS and ES exchange offers and counteroffers until an agreement is reached or the offer refused; d) if a least one of the ES accepts the order, the OS sends a refusal to offers received from another ES; if no ES accepts the order, the OS starts a negotiation process for the negotiable requirement with each ES.

Abstract: A process for integrating an industrial automation system with an Internet of Things (IoT) system may include providing access to a cloud-based platform, the cloud-based platform having a user interface. The user interface provides for easily displaying and changing configuration parameters describing a gateway module, a data acquisition module, and a sensor data channel associated with an industrial automation system wherein the data acquisition module can collect and process data from the sensor data channel and communicate that sensor data and any related processed information to a gateway module. The gateway module may also communicate configuration information to the data acquisition module and sensor data channel. The process may use the cloud-based platform to generate a memory map of the IoT system which can be used by a PLC or similar device of the industrial automation system to configure the IoT system and display data collected from the IoT system.

Abstract: A method is applied in a controller within a driving circuit comprising a driving sub-circuit configured to drive a load. The method comprises steps of: performing a table learning operation on a table at least at a first rate during a learning period; and performing the table learning operation on the table at a second rate lower than the first rate after the learning period; wherein the table is stored in a memory within the controller. The table learning operation comprises steps of: receiving a first feedback signal from the load corresponding to a first cycle; obtaining a control code from the table according to the first feedback signal; generating a control signal according to the control code; receiving a second feedback signal from the load corresponding to the second cycle; and updating the control code and saving the updated control code back to the table in the memory.

Abstract: Systems, methods, and computer-readable media are provided for determining treatments to apply to plants within control volumes having controlled agricultural environments. Each treatment comprises application of a set of setpoints, choosing a reproduction operation for the treatment, and selecting one or more previous sets from setpoints from one or more previously applied treatments, for use with the chosen reproduction operation.

Abstract: A manufacturing process for physical components can be optimized using some techniques described herein. For example, a system can receive, via a graphical user interface, a user selection of a particular type of production location. The system can determine a cumulative consumption of a component at the particular type of production location over a particular time window. The system can analyze a group of candidate types of production equipment to identify a particular type of production equipment that can accommodate the cumulative consumption of the component during the particular time window. And the system can execute one or more computing operations configured to facilitate deployment of the particular type of production equipment at the particular type of production location.

Abstract: A system and process for predicting the failure of a machine begins with the step of loading a slope signature library into the control system, in which the slope signature library correlates time-to-failure based on rates of change of one or more measured conditions. The process includes the steps of activating the machine, determining baseline measurements, and detecting an out-of-spec measurement. Once an out-of-spec measurement is made, the process includes the determination of the rate of change for the out-of-spec measurement. A slope signature is calculated based on the rate of change for the measured condition, which is compared against the slope signature library to determine a predicted time-to-failure based on the calculated slope signature, and outputting the predicted time-to-failure. The process can be used to modify the operation of the machine to extend the predicted time-to-failure.

Abstract: Disclosed are systems and methods for managing secure refrigerated bin systems. A system receives a request to access a respective compartment of a plurality of compartments in a dispensing device. Responsive to receiving the access request-and identifying one or more medications in the respective compartment, a safe temperature range specific to the identified one or more medications is determined, and a temperature of the respective compartment is determined using a respective temperature sensor of the respective compartment. The system determines whether the determined temperature of the respective compartment is within the safe temperature range of the identified one or more medications causes an alert to be displayed when the determined temperature of the respective compartment is outside of the safe temperature range of the identified one or more medications.

Abstract: An I/O server service interacts with multiple containerized controller services each implementing the same control routine to control the same portion of the same plant. The I/O server service may provide the same controller inputs to each of the containerized controller services (e.g., representing measurements obtained by field devices and transmitted by the field devices to the I/O server service). Each containerized controller service executes the same control routine to generate a set of controller outputs. The I/O server service receives each set of controller outputs and forwards an “active” set to the appropriate field devices. The I/O server service and other services, such as an orchestrator service, may continuously evaluate performance and resource utilization in the control system, and may dynamically activate and deactivate controller services as appropriate.

Abstract: Transformer power management controllers and transformer power management methods are described. According to one aspect, a transformer power management controller includes processing circuitry configured to monitor an electrical characteristic of electrical energy which is received from a secondary of a transformer of an electric power system, use the monitored electrical characteristic to determine transformer loading information which is indicative of an amount of power which is being supplied by the secondary of the transformer to a plurality of loads which are coupled with the secondary of the transformer, and use the transformer loading information to adjust an amount of the electrical energy which is supplied by the secondary of the transformer to at least one of the loads which is coupled with the secondary of the transformer.

Abstract: The present disclosure provides an islanding detection method for an inverter and a corresponding apparatus. The islanding detection method includes: step A1: obtaining a parameter of an output voltage of a three-phase AC system and a steady-state value corresponding to the parameter within a period of time; step A2: obtaining a disturbance signal based on the parameter and the steady-state value; step A3: superimposing the disturbance signal on at least one reference value of a droop control; and step A4: detecting the parameter added with the disturbance signal, and determining that island occurs in response to the parameter greater than an upper limit or less than a lower limit.

Abstract: The present disclosure describes a sensor system for measuring a process value of a physical system, including: a plurality of sensors, wherein each sensor is configured to generate a sense signal as a function of the process value at a given time; a system state corrector configured to determine an actual system state of the physical system at a given state update cycle; a system state predictor configured to determine a predicted system state of the physical system at a given prediction cycle from a previous system state at a previous state update cycle; a sense signal predictor configured to determine predicted sense signals at the given prediction cycle from the predicted system state by applying a first operation to the predicted system state using a sense signal model of the physical system for predicting the sense signals.