An operation information collection system for a fluid control device configured as an operation information collection module includes a detected value acquisition unit acquiring a detected value of a state change or a device operation able to detect opening/closing operations from the fluid control device, a calculation processing unit calculating a rate of change of detected values separated by a predetermined time based on the detected value, and an operation information registration unit registering the rate of change of the detected values separated by the predetermined time to an operation information storage unit as an operation information of the fluid control device.

An operation information collection system for a fluid control device configured as an operation information collection module includes a detected value acquisition unit acquiring a detected value of a state change or a device operation able to detect opening/closing operations from the fluid control device, a calculation processing unit calculating a rate of change of detected values separated by a predetermined time based on the detected value, and an operation information registration unit registering the rate of change of the detected values separated by the predetermined time to an operation information storage unit as an operation information of the fluid control device.

A differentiable simulator for simulating the cutting of soft materials by a cutting instrument is provided. In accordance with one aspect of the disclosure, a method for simulating a cutting operation includes: receiving a mesh for an object, modifying the mesh to add virtual nodes associated with a predefined cutting plane, optimizing a set of parameters associated with a simulator based on ground-truth data, and running a simulation via the simulator to generate outputs that include trajectories associated with a cutting instrument. Optimizing the set of parameters can include performing inference based on a set of ground-truth trajectories captured using sensors to measure real-world cutting operations. The inference techniques can employ stochastic gradient descent, stochastic gradient Langevin dynamics, or a Bayesian approach. In an embodiment, the simulator can be utilized to generate control signals for a robot based on the simulated trajectories.

An object is to read the information of a feature shape included in a machining program so as to calculate a control command suitable for machining processing on the feature shape. A numerical controller (300) includes: a feature detection unit (302) which detects the feature of a machined shape from a machining program that commands the movement of a tool or a workpiece; an inward-turning amount calculation unit (303) which calculates, based on a servo parameter of a servo controller (400) that drives the tool or the workpiece, the feature of the machined shape detected from the machining program and a machining requirement that specifies a machining condition, a relation formula that determines the inward-turning amount of a machining path with respect to a program path; and a feedrate determination unit (304) which determines a feedrate that is optimized with the relation formula.

A method for capturing a tool path, applicable to a machine tool having a controller and furnished with a tooling, includes the steps of: obtaining a data update frequency of the controller; calculating a feed rate of the controller, determining whether or not the feed rate is obtained, going to next step if positive, and going to the previous step if negative; reading G-codes of the controller to confirm the feed rate; and, based on the confirmed feed rate, recording machine coordinates transmitted from the controller for synthesizing a tool path file. The tool path file is used for simulation and analysis of machining of the machine tool. In addition, a device for capturing the tool path is also provided.

The present invention relates to a computer implemented system configured for controlling and monitoring of a pump, the system comprising a pump system, at least one sensor providing an operating state data signal representative of a mechanical, fluidicly, electrical operating state and/or other system data of the pump and/or pump system and a control module controlling the mechanical, fluidicly and/or operating state of the pump in response to a received control signal. The invention also comprises a digital twin module being configured for retrieving said operating state data signal and store the data in the IoT database.

The present invention relates to a computer implemented system configured for controlling and monitoring of a pump, the system comprising a pump system, at least one sensor providing an operating state data signal representative of a mechanical, fluidicly, electrical operating state and/or other system data of the pump and/or pump system and a control module controlling the mechanical, fluidicly and/or operating state of the pump in response to a received control signal. The invention also comprises a digital twin module being configured for retrieving said operating state data signal and store the data in the IoT database.

Disclosed is a system and method for a smart hydroponic system. The system includes a central controller and one or more smart hydroponic system modules. The smart hydroponic system modules automate a number of tasks required to maintain hydroponic agriculture. Further, these tasks are localized to provide greater precision to the agriculture, as even indoor environments can vary. The central controller sends commands which affect every smart hydroponic system module. This provides an efficient mix of central and local control.

A numerically controlled machine tool has at least one movement axis and is connected to a numerical controller which includes a parts program. Movements of each movement axis are limited by maximum permissible axis dynamics. The parts program has a sequence of instructions for machining a workpiece which specify different maximum desired speeds for the machining of the workpiece which change abruptly over time. The numerical controller approximates the different maximum desired speeds which change abruptly over time with a desired speed profile that is continuous over time and has a profile of the maximum desired speeds which is also continuous over time. The numerical controller uses the continuous desired speed profile to calculate the desired values of an actual movement profile of the movements for each movement axis.

Computing device expansion modules and control of their operation based on temperature are disclosed. According to an aspect, an expansion module includes an interface configured to operably connect to a computing device including a service manager. Further, the expansion module includes a controller configured to determine whether communication with the service manager of the computing device is enabled or not enabled. The controller is also configured to set a first temperature level at which operation of the expansion module is reduced in response to determining that communication with the service manager is enabled. Further, the controller is configured to set a second temperature level at which operation of the expansion module is reduced in response to determining that communication with the service manager is not enabled. The second temperature level is lower than the first temperature level.