Systems, methods, and apparatuses for controlling electrically-powered trash receptacles and monitoring fullness levels. The system can include a storage enclosure and a bin contained inside the storage enclosure, the bin configured to receive and store items deposited in the storage enclosure, wherein an inside portion of the bin is at least partially covered by a bag placed inside the bin to hold the items deposited in the storage enclosure. The system can also include a sensor configured to sense a content fullness state of the bin and a processor configured to control operations performed by the sensor. In addition, the system can include a sleeve configured to be installed over an inside portion of the bin and the bag, the sleeve at least partially restricting a movement of the bag.

A foot presence sensor system for an active article of footwear can include a sensor housing configured to be disposed at or in an insole of the article, and a controller circuit, disposed within the sensor housing, configured to trigger one or more automated functions of the footwear based on a foot presence indication. In an example, the sensor system includes a capacitive sensor, and the sensor is configured to sense changes in a foot proximity to the sensor in footwear. A baseline or reference condition for the capacitive sensor can be updated to accommodate different use conditions.

Systems and methods include monitoring a health of at least one asset. A remaining useful life (RUL) of the at least one asset is estimated based on the monitoring. The RUL of the asset is categorized into categories comprising shorter than a time to complete a current mission and longer than the time to complete the current mission. One or more remedial actions are automatically performed during the current mission if the RUL is categorized as being less than the time to complete the current mission. The remedial actions comprise one or more of initiating a fail-safe mode, adapting a controller of the one or more assets, reconfiguration of the system, and adjusting the current mission of the one or more assets. Maintenance is scheduled for after the current mission of the at least one asset if the RUL is categorized as being greater than or equal to the time to complete the current mission.

A tool load displaying method for a machine tool includes inputting a machining program that specifies a plurality of tools used during machining work and that specifies machining processes which constitute the machining work and each of which is performed by using each of the plurality of tools. At least one piece of load information corresponding to each of the plurality of tools during each of the at least one machining process is calculated. Selected load information is selected from the at least one piece of load information. The plurality of tools are displayed.

A beverage operations control system of an establishment such as a bar communicates with numerous wireless beverage control devices that monitor and control the pouring of beverages. The system provides monitoring and predictive analysis based on the monitoring, including real-time modifications to the operations of the beverage control devices.

The system generally includes a crosspoint switch in the local data collection system having multiple inputs and multiple outputs including a first input connected to the first sensor and a second input connected to the second sensor. The multiple outputs include a first output and a second output configured to be switchable between a condition in which the first output is configured to switch between delivery of the first sensor signal and the second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal from the first output and the second sensor signal from the second output. Each of multiple inputs is configured to be individually assigned to any of the multiple outputs. Unassigned outputs are configured to be switched off producing a high-impedance state. The local data collection system includes multiple data acquisition units each having an onboard card set configured to store calibration information and maintenance history of a data acquisition unit in which the onboard card set is located. The local data collection system is configured to manage data collection bands.

A cloud-based analytics engine that analyzes data relating to an industrial automation system(s) to facilitate enhancing operation of the industrial automation system(s) is presented. The analytics engine can interface with the industrial automation system(s) via a cloud gateway(s) and can analyze industrial-related data obtained from the industrial automation system(s). The analytics engine can determine correlations between respective portions or aspects of the system(s), between a portion(s) or aspect(s) of the system(s) and extrinsic events or conditions, or between an employee(s) and the system(s). The analytics engine can determine and provide recommendations or instructions in connection with the industrial automation system(s) to enhance system performance based on the determined correlations. The analytics engine also can determine when there is a deviation or potential of deviation from desired system performance by an industrial asset or employee, and provide a notification, a recommendation, or an instruction to rectify or avoid the deviation.

Provided is a process, including: receiving, via the network interface, from a remote user device, a command to change a state of the fluid-handling device to a target state; translating the received command into a translated command operative to cause a local controller of the fluid-handling device to drive the fluid-handling equipment to the target state, the local controller being responsive to the command and feedback from the fluid-handling device indicative of whether the fluid-handling device is in the target state; and sending the translated command to the local controller.

A retrieval system includes a first storage unit (211), a second storage unit (212), a selection unit (216), an extraction unit (217), and a calculation unit (218). The second storage unit (212) stores a plurality of signal tables. The selection unit (216) selects a first use table from the plurality of signal tables. The extraction unit (217) extracts a value of each signal registered in the first use table from the first signal group and the second signal group. The calculation unit (218) calculates a similarity level between the first signal group and the second signal group.

A motor control apparatus (2) according to the present disclosure is configured to control motors (#1-#3), automatically acquire identification information of a plurality of encoders (#1-#5), the encoders (#1-#5) being configured to be connected in series under a control of the motor control apparatus (2) and to detect position information of the motors (#1-#3) or position information of a mechanical apparatus configured to be driven by the motors (#1-#3), and store the identification information and the motor control unit in a non-volatile memory (11) in association with each other.