Abstract: The prediction system of strip chew collects and stores first data and second data as adaptive model construction data. The first data indicates the occurrence or non-occurrence of the strip chew in an object rolling path and the occurrence point of the strip chew. The second data includes information on a preceding rolling path and attribute information on an object strip. The system constructs an adaptive model using the stored adaptive model construction data, and stores the constructed adaptive model as an adapted model. The system collects prediction data similar to the second data. Then, the system inputs the prediction data to the adapted model to predict the occurrence or non-occurrence of the strip chew in the object rolling path and all or some of the occurrence points of the strip chew before the prediction object strip reaches the object rolling path.

Abstract: A system and method of assisting tool exchange includes a computer-assisted device having a manipulator configured to have at least one tool of multiple tools mounted thereon and a control unit coupled to the manipulator. The control unit is configured to detect initiation of a tool exchange, locate a source of a replacement tool to be mounted to the manipulator, determine, based on the located source, a configuration of the manipulator that facilitates mounting of the replacement tool to the manipulator, and command movement of the manipulator into the configuration. In some embodiments, the control unit is configured to determine the configuration further based on a type of the source of the replacement tool. In some embodiments, to locate the source of the replacement tool, the control unit is configured to locate at least a part of an assistant or locate a tool holding device.

Abstract: Method and training server for generating a predictive model for the control of an appliance by an environment controller. The predictive model allows a neural network inference engine to infer output(s) based on inputs. The training server receives room characteristic(s), current environmental characteristic value(s), and set point(s) from the environment controller. The training server determines command(s) for controlling the appliance based on the current environmental characteristic value(s), the set point(s) and the room characteristic(s). Each command is executed by the controlled appliance. The training server receives updated environmental characteristic value(s) and determines a reinforcement signal based on the set point(s), the updated environmental characteristic value(s), and a set of rules.

Abstract: Historical information is accessed that describes a previous state of a field, previous environmental conditions for the field, and previous farming machine actions performed in the field. A tank management model is applied to the historical information to determine expected weed densities within field portions and an amount of treatment fluid required to treat plants within the field. While the farming machine is treating plants in the field, current information describing a current state of the field is accessed. The tank management model is applied to the current information to determine updated weed densities within field portions not yet treated. The farming machine performs a modified plant treatment action based on the updated weed densities and a comparison of a remaining amount of treatment fluid within a tank of the farming machine and an updated amount of treatment fluid for treating plants within field portions not yet treated.

Abstract: A solar power generation system includes a solar component having a power generation capacity of at least C kW for every C kW of a power consumption requirement of a data processing component executing a high computational workload, with the solar component designed for addressing the power consumption requirement of the high computational workload for at least 25% of at least 50% uptime of the data processing component per day. The solar power generation system also includes an energy storage device having a power storage capacity proportionate to the C kW of the power consumption requirement of the data processing component such that the energy storage device is designed to address the power consumption requirement of the high computational workload for a duration within a range of 16% to 75% of the at least 50% uptime of the data processing component per day.

Abstract: The present disclosure provides a method for optimizing transformation of automation equipment in a power distribution network based on reliability, including determining installation states of respective components in the power distribution network and operation criterions for fault isolation, load transfer and fault recovery after a fault occurred in a feeder segment; determining a target function which is a target function for minimizing a total transformation cost of the power distribution network; determining constraint conditions including reliability constraints; establishing an optimization model for evaluating the reliability of the power distribution network based on the reliability constraints in accordance with the target function and the constraints; and solving the established optimization model for evaluating the reliability of the power distribution network based on the reliability constraints to obtain optimal solutions as optimization results of the automation transformation state of the cir

Abstract: The possibility of using a blockchain for industrial applications, in particular in the manufacturing sector, is provided. For example, time requirements are specified by the configurability and the selectability of the validation and/or transmission. The distributed database system only validates those transactions which are executed by a corresponding blockchain-based manufacturing system, by a number of nodes confirming that they execute the transactions. The provided is suitable in particular for blockchain IoT applications in which at least one device is intended to execute some kind of control action, and the execution is subject to certain requirements.

Abstract: Various embodiments described herein relate to providing asset behavior modeling. In this regard, a request to obtain one or more asset insights with respect to an asset is received. In response to the request, a model is executed based on sensor data associated with the asset and asset scenario data associated with different operation scenarios for the asset. The model represents predicted asset behavior of the asset to provide the one or more asset insights. Furthermore, in response to the request, one or more actions are performed based on the one or more asset insights.

Abstract: The present invention relates to a system for coordinating operation control and operation maintenance for an urban rail transit and a method using the same, where the system includes: an intelligent operation maintenance subsystem and an intelligent operation control subsystem, the intelligent operation maintenance subsystem and the intelligent operation control subsystem include coordination linkage engine modules respectively, and the intelligent operation maintenance subsystem synchronizes, by using the coordination linkage engine modules, a fault handling plan to the intelligent operation control subsystem. Compared with the prior art, the present invention has the advantages of scientific and reasonable dispatching decision-making, high efficiency and high intelligence.

Abstract: A stored power production source management device of an embodiment includes an acquisition unit, a power storage management unit, and a discharging management unit. The acquisition unit acquires first information indicating a power supply source when a power storage is charged. The power storage management unit stores information indicating a power supply source for power stored in the power storage in a data storage in association with an amount of stored power on the basis of the first information. The discharging management unit specifies a power supply source for the power to be discharged on the basis of information indicating the power supply source stored in the data storage when the power storage is discharged, and subtracts the amount of power to be discharged from the amount of power corresponding to the specified power supply source in the data storage.

Abstract: System recognition is performed on devices connected to an identical system without recognizing a device of a different system as a device of the identical system in high-frequency communication. In a device network system, an outdoor unit selected from among all outdoor units of a first network performs a recognition process on the outdoor units and indoor units of the first network. In the first network, communication between individual devices including the outdoor units and the indoor units is performed by using a high frequency, and the recognition process performed by the selected outdoor unit uses a recognition signal having a low frequency.

Abstract: A technique for providing assistance in setting the time to increase the clamping force is provided. A control device of an injection molding machine includes a clamping control part and a monitoring part. The clamping control part is configured to change, in a filling step of filling the inside of a mold device with a molding material during clamping, a set value of clamping force from a first set value to a second set value that is larger than the first set value, at a predetermined pressurizing timing in the middle of the filling step. The monitoring part is configured to monitor changes in the actual value of the clamping force due to changes in the set value of the clamping force.

Abstract: An injection molding system configured to operate in a plurality of cycles includes, amongst other things, a controller that is configured for performing a comparison of a variable pressure setpoint with a target pressure value. The controller is configured to, when the target pressure value is less than the variable pressure setpoint by at least a predetermined lower bound, (i) decrease the variable pressure setpoint to a reduced variable pressure setpoint and (ii) not further decrease the variable pressure setpoint from the reduced variable pressure setpoint until the pump assembly operates for a plurality of stabilizing cycles at the reduced variable pressure setpoint.

Abstract: Methods and apparatus for two-dimensional and three-dimensional scanning path visualization are disclosed. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to identify at least one melt pool dimension using a beam parameter setting, the at least one melt pool dimension identified from a plurality of melt pool dimensions obtained by varying the beam parameter setting, identify a response surface model based on the plurality of melt pool dimensions to determine an effect of variation in the beam parameter setting on the at least one melt pool dimension, output a three-dimensional model of a scanning path for an additive manufacturing process using the response surface model, and adjust the beam parameter setting based on the three-dimensional model to identify a second beam parameter setting.

Abstract: The disclosure provides a solution for monitoring stick-slip vibrations without using any surface torque measurements. Instead, the disclosure provides a method to monitor stick-slip vibrations based on rotational speed. A stick-slip monitor, a top drive controller and a method of operating a drill string are provided herein that use rotational speed for monitoring stick-slip vibrations. In one example, the method of operating a drill string includes: (1) performing a frequency domain analysis of an RPM signal associated with a top drive that is used to rotate a drill string, and (2) determining a presence of torsional oscillations of the drill string based on the frequency domain analysis of the RPM signal.

Abstract: Various analytics systems are disclosed. An analytics system is configured to communicably couple to a plurality of surgical hubs that are controlled by control programs. The analytics system comprises a processor and a memory coupled to the processor. The memory stores instructions that, when executed by the processor, cause the analytics system to: receive perioperative data indicative of an operational behavior of the surgical hubs; analyze the perioperative data to determine whether an update condition is satisfied; generate a control program update according to whether the update condition is satisfied; and transmit the control program update to the surgical hubs. The perioperative data comprises data detected by the surgical hubs during a surgical procedure. The control program update is configured to alter the manner in which the control programs operate the surgical hubs during a surgical procedure based on the operational behavior.

Abstract: An air-conditioning-apparatus system includes an air-conditioning apparatus and a remote-operation centralized control apparatus connected with the air-conditioning apparatus via a network. The air-conditioning apparatus includes an infrared sensor and a drive control unit. The infrared sensor includes a drive actuator and is capable of acquiring temperature information on a location of one part of a room. The drive control unit controls the drive actuator to acquire temperature information on a plurality of locations in the room. The air-conditioning apparatus or the remote-operation centralized control apparatus includes: a storage unit that stores the temperature information on the locations in the room that is acquired by the infrared sensor under a control by the drive control unit; and a thermal image forming unit that forms a thermal image of the room based on the temperature information on the locations in the room that is stored in the storage unit.

Abstract: A variable air volume (VAV) box includes a fan operable to induce airflow from a building space through the VAV box and discharge the airflow back to the building space, an air cleaning device positioned to clean the airflow through the VAV box before discharging the airflow back to the building space and configured to affect an air quality of the airflow, and a controller configured to operate the fan to modulate the airflow through the VAV box to achieve a target air quality for at least one of the airflow discharged from the VAV box or air within the building space.

Abstract: The support device acquires locus information in which a position of a machine tool corresponding to an instruction value generated by execution of an NC program is associated with time information indicating a control time using the instruction value, and variable history information in which a value of a variable updated by execution of the sequence program is associated with time information indicating an update time The support device selects a target period in an execution period of a program, displays a portion corresponding to the target period in transition indicated by the locus information on a display device, and displays the value of the variable in the target period on the display device based on the variable history information.

Abstract: An air-conditioning control device includes: an air-conditioning data acquisition unit to acquire air-conditioning data; a determination unit to determine whether or not the air-conditioning data is present in a sparse region; an estimation unit to, in a case where the determination unit determines that the air-conditioning data is present in the sparse region, apply extrapolation using a non-learning model for associating the air-conditioning data with a startup time of an air conditioner to a machine learning model, and estimate the startup time of the air conditioner from the air-conditioning data by using the non-learning model; and a control unit to perform control to start up the air conditioner at the startup time estimated by the estimation unit.