A method includes determining motion imitation information for causing a system to imitate a physical task using a first machine learning model that is trained using motion information that represents a performance of the physical task, determining a predicted correction based on the motion information and a current state from the system using a second machine learning model that is trained using the motion information, determining an action to be performed by the system based on the motion imitation information and the predicted correction; and controlling motion of the system in accordance with the action.

Disclosed is a method of controlling a robot, comprising: switching to a surrounding environment concentration mode according to a sound of surrounding environment in a display off mode; searching a user in the surrounding environment concentration mode and switching to a user concentration mode when the user is searched; switching to a user conversation mode from the user concentration mode according to a sound received from the user; and entering the display off mode again after passing through a play alone mode, when the user is not searched in the surrounding environment concentration mode. Accordingly, the robot can operate in an optimal mode according to the change of the surrounding environment by setting various modes of the robot.

A method for diagnosing and predicting operation conditions of large-scale equipment based on feature fusion and conversion, including: collecting a vibration signal of each operating condition of the equipment, and establishing an original vibration acceleration data set of the vibration signal; performing noise reduction on the original vibration acceleration data set, and calculating a time domain parameter; performing EMD on a de-noised vibration acceleration and calculating a frequency domain parameter; constructing a training sample data set through the time domain parameter and the frequency domain parameter; establishing a GBDT model, and inputting the training sample data set into the GBDT model; extracting a leaf node number set from a trained GBDT model; performing one-hot encoding on the leaf node number set to obtain a sparse matrix; and inputting the sparse matrix into a factorization machine to obtain a prediction result.

Disclosed is a plug-in radio module for automation engineering for wireless data transmission, having at least a wired interface for connecting to a corresponding wired field device interface of a field device and radio module electronics having a radio antenna, wherein the radio module electronics are configured to use the wired interfaces to query at least one current value of the field device and to use the current value to adapt a paging interval and/or a radio data width for the wireless data transmission as appropriate, so that the radio module electronics perform an adapted-power mode of operation in which the wireless data transmission is matched to the power currently made available to the field device.

A method includes receiving, by a control system of a robotic device, data about an object in an environment from a remote computing device, where the data comprises at least location data and identifier data. The method further includes, based on the location data, causing at least one appendage of the robotic device to move through a predetermined learning motion path. The method additionally includes, while the at least one appendage moves through the predetermined learning motion path, causing one or more visual sensors to capture a plurality of images for potential association with the identifier data. The method further includes sending, to the remote computing device, the plurality of captured images to be displayed on a display interface of the remote computing device.

Methods for implementing power delivery transactions between a buyer and a seller of electrical energy supplied to an electrical grid by an integrated renewable energy source (RES) and energy storage system (ESS) of a RES-ESS facility are provided. Estimated total potential output of the RES is compared to a point of grid interconnect (POGI) limit to identify potential RES overgeneration, and the buyer is charged if potential RES overgeneration is less than potential overgeneration during one or more retrospective time windows. The method provides a basis for the RES-ESS facility owner to be paid for an estimated amount of energy that did not get stored as a result of a grid operator not fully discharging an ESS prior to the start of a new day.

It is disclosed a PLC Program analysis method where a program is translated into a program model in a logical framework, from which properties are determined. Said properties coupled with interlocking properties are verified by an automated solver. If contraposition of a property is satisfiable, counter-examples representative of model's inputs and internal memory values is provided. Counter-examples are translated into error initial configurations of said model. Execution of the model is simulated with said model error initial configurations, and error intermediary configurations of said model simulation are recorded up to said property violation. Error initial and intermediary configurations of said original program are derived from error initial configurations of said model and error intermediary configurations of said model simulation and displayed. An apparatus for executing said method is provided.

A process for use in managing a hydrocarbon production system includes: selecting, from among a plurality of changes proposed to operating parameters of the hydrocarbon production system, the proposed change with the greatest estimated positive change in production; assessing whether the selected change violates an operating constraint; based on said assessment, producing a valid change based on at least the selected change or identifying the selected change as an unusable change, iterating the above steps, the iteration excluding the valid change from the plurality of proposed changes; and implementing at least one valid change, the number of implemented valid changes being less than the number of proposed changes.

A process for use in managing a hydrocarbon production system includes: selecting, from among a plurality of changes proposed to operating parameters of the hydrocarbon production system, the proposed change with the greatest estimated positive change in production; assessing whether the selected change violates an operating constraint; based on said assessment, producing a valid change based on at least the selected change or identifying the selected change as an unusable change, iterating the above steps, the iteration excluding the valid change from the plurality of proposed changes; and implementing at least one valid change, the number of implemented valid changes being less than the number of proposed changes.

A method, system and apparatus for identifying a type of device connected to I/O (Input/Output) channels of an I/O module, can involve applying a current for a predefined time duration to one or more I/O channels of an I/O module, initiating a current readback at a regular interval of time within the predefined time duration, determining values of the current readback for each of a time interval during the predefined time duration, storing the values of the current readback in a memory associated with the I/O module, determining a pattern as a function of the values of the current readback and a sample of time interval for a device connected to the one or more I/O channels, and identifying a type of the device connected to the one or more I/O channels based on a determined pattern of a current sink of the device connected to the one or more I/O channels.