Abstract: The present disclosure relates to methods and systems for managing and controlling resources. A system for managing and controlling resources may comprise a storage device configured to store a set of instructions, one or more processors configured to communicate with the storage device. When executing the set of instructions, the one or more processors may be configured to cause the system to collect resource usage data through one or more meters, process the resource usage data based on a preset algorithm to determine resource usage state, and control at least the one or more meters and/or one or more smart devices to perform specified operations based on the resource usage state. The present disclosure provides methods and systems for managing and controlling resources based on meters or smart devices controlled by the network.

Abstract: A control program is automatically created using an action chart that is easy to create for an automated manufacturing machine with a complex operation. A subchart is pre-created for a set of consecutive subperiods of multiple subperiods included in an action chart. The action chart includes a subchart representation in a subperiod for identifying the subchart to represent the set of consecutive subperiods corresponding to the subchart. The action chart and the subchart are read together. Program elements for element actions in the subperiods on the action chart are combined together. For the subperiod with the subchart representation on the action chart, program elements for element actions assigned to the consecutive subperiods on the subchart are combined together in an order of the consecutive subperiods on the subchart. The control program is thus generated.

Abstract: Disclosed herein are AI-based platforms for enabling intelligent orchestration and management of power and energy. In various embodiments, a machine learning system is trained on a set of energy intelligence data and deployed on an edge device, wherein the machine learning system is configured to receive additional training by the edge device to improve energy management. In some embodiments, the energy management includes management of generation of energy by a set of distributed energy generation resources, management of storage of energy by a set of distributed energy storage resources management of delivery of energy by a set of distributed energy delivery resources, management of delivery of energy by a set of distributed energy delivery resources, and/or management of consumption of energy by a set of distributed energy consumption resources.

Abstract: An access control system includes an identification unit having an infrared (IR) transmitter, an IR detector that receives reflected IR radiation from one or more body parts of the user, one or more signal processing components to determine a temperature of the user, a hand sanitization unit that sanitizes hands of the user when the hands are placed in a palm placement area, and an identification device to receive identification information of the user. The access control system also includes a processor that receives the reading of the user, instructs a door lock controller to unlock a door when the temperature is below the threshold temperature or the temperature is within the temperature range. The processor sends an alert when the temperature is above the threshold temperature or the temperature is outside the temperature range, and sends identification information of the user to one or more network devices.

Abstract: A power management device includes a control unit that controls a converter capable of bidirectionally converting between an external bus voltage and an internal bus voltage in a first power feeding system. When an amount of stored electric power of the first power feeding system is less than a first storage threshold value, the control unit sets a target value of the external bus voltage to a first power reception target value corresponding to a first transmission power value in a first power transmission request transmitted to an upper power management device. When the amount of stored electric power exceeds a second storage threshold value, the control unit sets the target value of the external bus voltage to a first power transmission target value corresponding to a second transmission power value in a second power transmission request received from a second power feeding system.

Abstract: The method includes: obtaining at least one of gas data and pipeline data based on a gas device object platform; assessing a health state of the appurtenances based on at least one of the gas data and the pipeline data; the health state including at least one of a drainer state and a compensator state; determining at least one maintenance parameter of the appurtenances based on the health state; dynamically adjusting at least one transportation parameter of gas based on the health state and the at least one maintenance parameter; sending at least one adjusted transportation parameter to a gas operation user platform; and determining a maintenance program based on the at least one maintenance parameter, and the at least one adjusted transportation parameter, and uploading the maintenance program to a government safety supervision and management platform.

Abstract: An AI-based platform for enabling intelligent orchestration and management of power and energy is provided herein. The AI-based platform includes a digital twin system including a plurality of digital twins of energy operating assets, the plurality of digital twins of energy operating assets including at least one energy generation digital twin, energy storage digital twin, energy delivery digital twin, and/or energy consumption digital twin, and a set of energy simulation systems configured to generate a simulation of energy-related behavior of at least one of the plurality of digital twins of energy operating assets, and a machine-learning system configured to generate a predicted state of at least one of the energy operating assets. The simulation of energy-related behavior is based on historical patterns, current states, and the predicted state of at least one of the energy operating assets.

Abstract: Ossicular prostheses, and methods for producing such, are disclosed for treatment of middle ear damage caused by a malady of the middle ear such as cholesteatoma. The ossicular prostheses comprises a strut component attached to a disc via a rigid or flexible connecting joint. The strut is attachable to a head or footplate of a subject's stapes. The disc is attachable to the subject's existing tympanic membrane, or, alternatively, to an artificial tympanic membrane graft. In some embodiments, a scaffold is used to support the ossicular prosthesis and the tympanic membrane graft.

Abstract: A method for connecting a smart electricity meter connected to a data concentrator, referred to as the current data concentrator, in a powerline or radio-frequency communication network for the automated management of metering in the context of an electrical distribution service is described. The smart electricity meter disconnects from the current data concentrator in the case where the latter is posing a problem. It next attaches itself to a neighbouring data concentrator different from the current data concentrator. It then listens to the frames containing an identifier of said current data concentrator. Finally, it disconnects from the neighbouring data concentrator and attaches itself to a data concentrator using the same identifier as the current data concentrator when at least N frames containing the identifier of the current data concentrator are received, with N an integer greater than or equal to 1.

Abstract: Systems and methods for dynamic management of energy usage in local grids are provided. An example method is performed by a load distribution controller coupled to a power source and an energy storage device configured to accumulate power. The method includes acquiring reference levels of using energy of the power source at time slots within a time period and cost values corresponding to the reference levels, dynamically determining, based on the reference levels and the cost values, a schedule indicating charge levels of the energy storage device at the time slots within the time period, and configuring the energy storage device to charge or discharge the power the power according to the schedule. The reference levels are obtained using the Viterbi algorithm based on costs of the energy of power source at past times slots of a past time period and rates of charging and discharging the energy storage device.

Abstract: A method and system for controlling a vehicle shorten waiting time for a user to receive a result of a command when implementing a Car-to-Home service that communicates through servers. The method includes: inquiring, through a first server, a current state of an Internet of Things (IoT) device linked to enable remote control from a vehicle and storing the inquired IoT device current state; upon generation of the request from the vehicle, fetching information about the current state of the IoT stored in the first server and displaying the information through a display; re-inquiring the current state to update the information about the current state of the IoT stored in the first server; and if the information about the current state of the displayed IoT does not match the information about the updated current state in the first server, displaying the updated information about the IoT current state through the display.

Abstract: The present invention provides a planning apparatus for creating an operation plan for a hydrogen production system including a hydrogen generation apparatus, comprising: an acquisition portion for acquiring a demand response from a power operator; and an operation planning portion for creating the operation plan based on the demand response before a target period of the operation plan and at least one of a electricity price, a demand amount of hydrogen and an amount of stored hydrogen before the target period.

Abstract: A power distribution system includes an electrical utility and at least one virtual power plant. The virtual power plant can be utilized and controlled in order to support the operations of the electrical utility. Upon determining an electrical need, the utility instructs the virtual power plant to make an energy adjustment by a scheduled time. The virtual power plant allocates the energy adjustment among the distributed energy resources of its fleet in order to achieve the energy adjustment by the scheduled time.

Abstract: A digital design engine of a computer-based control system for apparel manufacturing is structured to receive an order specification from a customer computing device and an apparel specification instruction from a designer computing device. At least one order item from the order specification and at least one apparel specification instruction are linked, by the digital design engine, to an extended apparel specification (e.g., a master pattern definition) such that at least one parameter in the extended apparel specification is set based on the order item and/or based on the apparel specification. The digital design engine is structured to add the extended apparel specification to a plurality of apparel specifications collectively defining a custom article of apparel.

Abstract: A method for the visualization of one or more dimensions of data. The data originate from controlling and/or monitoring an industrial production process, which is controlled by a manufacturing execution system. The visualization creates a virtual reality landscape by mapping the data onto symbols. The symbols are contained in a symbol library and they are selected in dependency of the value for the data.

Abstract: Provided is a method of determination of pretreatment conditions of a heat treatment furnace, wherein the pretreatment is heating a furnace interior of the heat treatment furnace while supplying a gas thereinto, the method including setting a plurality of candidates of a combination of a type of a supply gas and a heating temperature; assigning to each candidate of the combination a score determined according to a type of a target metal identified as an object to be removed in the pretreatment; and determining, from the plurality of candidates, the combination of the type of the supply gas and the heating temperature to be adopted as the pretreatment conditions, with the assigned score serving as an indicator.

Abstract: Aspects of the present disclosure provide systems, methods, and computer-readable storage media that leverage artificial intelligence and machine learning (ML) to forecast energy demand and to generate an energy plan for one or more facilities of an organization. For example, a system may forecast an occupancy of the facilities for use with historical demand data in forecasting the energy demand. The forecasting may be performed by one or more trained ML models. Additional ML models may be trained to select energy resources that satisfy the forecasted energy demand and that prioritize constraint(s). The system may generate an energy plan that indicates information related to the selected energy resources, such as cost, energy type, environmental impact, etc., for use in increasing an amount of renewable energy resources used at the facilities. In some implementations, the system may recommend actions to reduce a negative environmental impact associated with the selected energy resources.

Abstract: If a user enters a bed, a sensor in the pump of the bed can detect the user's presence in the bed.

Abstract: The present system generally relates to a fluid flow system where a controller and motor pump assemblies are used to optimize the control of fluid flow through the system. The controller samples the back electromotive force of the motor and pump assemblies and is able to utilize the sampled back electromotive force in conjunction with predefined target back electromotive force values, preferably empirically determined and tuned to an induvial motor and for a select fluid, to tune the voltage applied to the system, control the back electromotive force of the system and, by extension, control the flow of fluid.

Abstract: Disclosed herein are AI-based platforms for enabling intelligent orchestration and management of power and energy. In various embodiments, a set of edge devices includes a set of artificial intelligence systems that are configured to process data handled by the edge devices and determine, based on the data, a mix of energy generation, storage, delivery and/or consumption characteristics for a set of systems that are in local communication with the edge devices and to output a data set that represents the constituent proportions of the mix. In some embodiments, the output data set indicates a fraction of energy generated by an energy grid and a fraction of energy generated by a set of distributed energy resources that operate independently of the energy grid. In some embodiments, the output data set indicates a fraction of energy generated by renewable energy resources and a fraction of energy generated by nonrenewable resources.