Abstract: The actual performance information classify part derives a classification result of an actual performance information on electric power demand, by a classification setting information, from an environment information and a date attribute information which is correlated with each of the electric power demands which is included in an actual performance information on electric power demand. The prediction information calculate part derives a classification result of a prediction target day, using the date attribute information of the prediction target day, which is a day to conduct a prediction, and the environment information which is measured before a start of the prediction of a prediction target day, and in addition, predicts an electric power demand of a prediction target day, based on the electric power demand of the actual performance information on electric power demand, which corresponds to the classification result of the prediction target day.

Abstract: A production system, comprising: a first industrial machine configured to control a second industrial machine based on each of a plurality of variables; and circuitry configured to input, to the first industrial machine, a control command relating to an operation of at least one of the first industrial machine or the second industrial machine, wherein the first industrial machine rewrites, based on the control command, at least one variable defined as a rewritable variable among the plurality of variables.

Abstract: Representative implementations of devices and techniques provide local and/or remote control for one or more connected loads or remote appliances. A load control device includes controls for switching and varying the power to associated loads and also includes communication components for remote operations. A user interface device includes a configurable and user customizable interface to communicate control instructions to the load control device. The load control device and the user interface device may be installed as a single unit, mechanically and electrically coupled together, or they may be installed remote from each other. Accordingly, the load control device and the user interface device include wired and wireless communication capabilities.

Abstract: A comfort-analyzing device includes a display unit, a first control unit, an input unit, and a cognitive-structure constructing unit. The display unit is configured to present a questionnaire for extracting both a comfort level of a user in an environment and at least one environmental factor to determine the comfort level. The first control unit is configured to cause the display unit to present the questionnaire twice or more during a survey period. The input unit is configured to accept, from the user, input of each reply to the questionnaire presented twice or more. The cognitive-structure constructing unit is configured to construct a cognitive-structure model representing a cognitive structure of the user regarding comfort by extracting both the comfort level and the at least one environmental factor in chronological order based on each reply to the questionnaire presented twice or more.

Abstract: Personnel working at elevated positions use safety lines to prevent falls. Equipment being used in proximity to the personnel may interfere with the safety lines presenting a potential hazard. A fall protection monitor provides an automated and wireless sensor system for avoiding interactions between equipment and safety lines. The fall-protection monitor includes a first sensor for monitoring whether a safety line is in operation. A second sensor monitors a location of a moveable device being used in the vicinity of the safety line. A controller determines the location of the moveable device and whether the safety line is in operation. The controller prevents movement of the moveable device within a predetermined distance from an operational safety line.

Abstract: The present invention are a system and a method for controlling solar photovoltaic power generation on the basis of machine learning, the system comprising: solar photovoltaic modules; node control units for switching off a connected solar photovoltaic module when measured current, voltage and power data do not satisfy control data; a gateway unit for storing measured data; a real-time control module for classifying, comparing and analyzing data and storing same, and transmitting a control command to the gateway unit; and machine learning for monitoring a device and data, learning on the basis of machine learning, and extracting functional data required for controlling solar photovoltaic power generation so as to provide control service data according to the result of performed modeling.

Abstract: Systems and methods for safety-enabled control. Input values provided to a control system can be validated. Command gating can be performed for control values provided by the control system. Validation of input values and command gating for control values can be performed in accordance with respective validation windows. Validation windows can be dynamically adjusted based on data received via a sensor or interface.

Abstract: The disclosure provides a distributed dispatch method for ubiquitous power Internet of Things based on a transition matrix. The ubiquitous power Internet of Things includes generators. The method includes: S1, setting a marginal cost function of each of the generators, and extracting key cost parameters in the marginal cost function; S2, establishing an optimization model based on the key cost parameters of each of the generators and a communication topology of the ubiquitous power Internet of Things, and solving the optimization model to obtain an optimized transition matrix; and S3, generating a plan of a power output of each of the generators based on the optimized transition matrix and a distributed dispatch protocol to perform a distributed dispatch.

Abstract: A method for editing a machining program includes obtaining tool information specifying a tool mountable on a machine tool. A program editing window and at least one assistance window are displayed. The program editing window shows a program code of the machining program to control the machine tool. Each of the assistance window selectively shows the tool information and a control method. The tool is to be controlled according to the control method. In the program code, an insertion position at which a new code is to be inserted into the program code is specified. Selected information is selected from the tool information when the tool information is shown in the at least one assistance window. A command corresponding to the selected information is inserted into the program code at the insertion position.

Abstract: A conveying unit includes a housing; a collision prevention mechanism disposed on a sidewall of the housing; a gripping member configured to hold a carrier for carrying a semiconductor structure; a sensor disposed on the gripping member and configured to measure and collect data associated with vibration of the gripping member; and an unit controller disposed on the gripping member and configured to analyze the data from the sensor and control a movement of the conveying unit.

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: An exemplary heating ventilation and cooling (HVAC) system includes a multi-phase power input, an AC-DC rectifier connected to a DC-AC inverter via a DC power bus, a multi-phase power output connecting the DC-AC inverter to a fan blower motor, and at least one redundancy power system. The redundancy power system is configured to bypass at least one of the AC-DC rectifier and the DC-AC inverter.

Abstract: An air conditioning and ventilating system including: an air conditioning device including a heat exchanger configured to generate conditioned air by heat exchange with a refrigerant; a ventilation device communicatively connected to the air conditioning device and including a supply air fan and/or an exhaust fan; an airflow volume detection unit configured to detect an airflow volume equivalent value of the ventilation device; and a control unit. On determination that the airflow volume equivalent value acquired from the airflow volume detection unit is equal to or less than a first predetermined value, the control unit sets an operation of the air conditioning device to a stop state.

Abstract: In an embodiment, a method of preventing evaporator coil freeze in a heating, ventilation and air conditioning (HVAC) system includes determining a reference saturated suction temperate (SST) via a sensor disposed in relation to an evaporator coil in the HVAC system, where the HVAC system is operating in reheat dehumidification mode. The method also includes determining whether the reference SST is below a minimum SST threshold. The method also includes, responsive to a determination that the reference SST is below the minimum SST threshold, determining a decreased compressor speed. The method also includes modulating a variable-speed compressor in the HVAC system in correspondence to the decreased compressor speed.

Abstract: A sensor system senses a plurality of environmental phenomena and send a data message with sensed parameters. The computer system determines an indication that the sensed parameter indicated low-quality sleep and sends an instruction to adjust the environment. A control system adjusts the environment without particular input from a user.

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: Described is an apparatus which comprises: a plurality of transistors coupled to an input power supply and to a load; a first comparator with a first node coupled to the load, and a second node coupled to a first reference; a second comparator with a first node coupled to the load, and a second node coupled to a second reference, the second reference being different from the first reference; and a logic unit to receive output of the first comparator and output of the second comparator, the logic unit to turn on or off transistors of the plurality of transistors according to outputs of the first and second comparators.

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 tracking system for tracking an expanded state of an object is provided. The tracking system comprises at least one processor and a memory having instructions stored thereon that, when executed by the at least one processor, cause the tracking system to execute a probabilistic filter that iteratively tracks a belief on the expanded state of the object, wherein the belief is predicted using a motion model of the object and is further updated using a compound measurement model of the object. The compound measurement model includes multiple probabilistic distributions constrained to lie on a contour of the object with a predetermined relative geometrical mapping to the center of the object. Further, the tracking system tracks the expanded state of the object based on the updated belief on the expanded state.