A drill system including a drill and a secondary computing device. The drill includes a housing, a controller, a wireless transceiver, a motor, and a chuck. The motor, the controller and the wireless transceiver are housed in the housing. The chuck is selectively driven by the motor. The secondary computing device includes a wireless transceiver which allows wireless communication between the drill and the secondary computing device. The secondary computing device further includes a user interface configured to allow an operator to change operating parameters of the drill. The operating parameters are configured to be automatically reset.

Systems and methods for facilitating interactions between a robotic arm and a movable platform using radio frequency (RF) co-localization are provided. The systems include target devices; an interrogator system comprising RF antennas, each of the RF antennas configured to transmit RF signals to the target devices and/or receive RF signals from the target devices; and a controller. The controller is configured to control at least one of the RF antennas to transmit one or more first RF signals to a target device coupled to a movable platform; control at least some of the RF antennas to receive second RF signals from at least the target device; determine a position of the movable platform using the received second RF signals; and determine, using the position of the movable platform, a target position to which to move an end effector of a robotic arm in order to perform a task.

Disclosed is a field device adapter for wireless data transfer for connection to a field-device-internal interface provided for a display, comprising: an interface for connection to the field-device-internal interface; a radio module configured to wirelessly transmit a data packet on a low-power wide-area network, wherein the radio module is further configured to only transmit the data packet and not to receive any data packets; adapter electronics configured to limit an energy provided via the field-device-internal interface to a predefined value and to charge a stored energy source with the limited energy. The adapter electronics are further configured to monitor a state of charge of the stored energy source and, based on the state of charge, to provide the radio module with an energy originating from the stored energy source for transmitting the data packet.

A drill system including a drill and a secondary computing device. The drill includes a housing, a controller, a wireless transceiver, a motor, and a chuck. The motor, the controller and the wireless transceiver are housed in the housing. The chuck is selectively driven by the motor. The secondary computing device includes a wireless transceiver which allows wireless communication between the drill and the secondary computing device. The secondary computing device further includes a user interface configured to allow an operator to change operating parameters of the drill. The operating parameters are configured to be automatically reset.

Disclosed is a field device comprising: a connection terminal; field device electronics; an internal interface for connecting an electronic module; the electronic module having at least one electronic component for realizing an additional functionality; a capacitor, which is designed to provide an additional first auxiliary energy amount to the component if the component of the electronic module has an energy demand exceeding the main power; a battery, which is designed to provide a second auxiliary energy amount to the at least one component if the at least one component of the electronic module has an energy demand exceeding the main power and the first auxiliary energy amount, wherein the battery provides the second auxiliary energy amount to the component only if the main power and the first auxiliary energy amount are not sufficient for the energy supply of the component.

A big data artificial intelligence computer system is used for medical care connecting to sensor-equipped smartphones of users of footwear. The footwear has smartphone-connected soles with sensors and configurable structures. The smartphone is also connected to sensors located on the users' body, including proximate to its center of gravity and/or on the head. The web and/or cloud-based computer system is configured to use the big data techniques of machine learning in a database compiled from millions of smartphones to perform operations on billions of data sets from the smartphones of the footwear users. The correlations found from the big data operations provide solutions to medical problems of the footwear users involving their body structure and/or function. The solutions are implemented by configuring the users' footwear soles, including active configuration, including during running and/or walking to optimize corrections to the structure and/or function of their bodies.

An actuator in a HVAC system includes a mechanical transducer, a processing circuit, a wireless transceiver, and a power circuit. The processing circuit includes a processor and memory and is configured to operate the mechanical transducer according to a control program stored in the memory. The wireless transceiver is configured to facilitate bidirectional wireless data communications between the processing circuit and an external device. The power circuit is configured to draw power from a wireless signal received via the wireless transceiver and power the processing circuit and the wireless transceiver using the drawn power. The processing circuit is configured to use the power drawn from the wireless signal to wirelessly transmit data stored in the memory of the actuator to the external device via the wireless transceiver, wirelessly receive data from the external device via the wireless transceiver, and store the data received from the external device in the memory.

An automation system (1) for controlling a production process in a production plant (2) in the metal production industry, the non-ferrous industry or the steel industry for producing semi-finished products or finished products comprising a plurality of plant parts (3) for carrying out separate production steps comprises, for each plant part (3), a separate control unit (4) for controlling actuators (5) and/or sensors (6) of the respective plant part (3) for the purpose of automating the production step in the respective plant part (3). The separate control units (4) of the automation system (1) comprise wireless communication means (7) for wirelessly communicating with one another.

An object is to provide a machine tool operation system that enables inputs to an NC device of a machine tool by use of a tablet terminal from any location and an operation method using the system. The machine tool operation system includes an NC device, a computer connected to the NC device, and a tablet terminal that is in wirelessly communication with the computer and enables inputs and outputs of signals for the NC device via the computer. The tablet terminal includes a display unit that make to display a menu screen on a display screen, an input unit that receives an input from a user, and an input processing unit that outputs an input signal transmitted to the computer based on the input. The computer includes a signal processing unit that outputs a command signal for a machine tool operation based on the input signal. A wireless communication unit to wirelessly send and receive signals between the tablet terminal and computer, and a transmission unit to transmit signals between the computer and NC device are provided.

“Cloud” based manufacturing execution systems (“MES”) and methods thereof used to control, execute, and monitor pharmaceutical or biopharmaceutical production processes and systems are disclosed herein. Consequently, the methods and systems provide a means to quality manufacturing on an integrated level whereby drug or biologic manufacturers can achieve data and product integrity and ultimately minimize cost.