A device operating in a normal mode receives a request to switch to a functional safety mode, the request including a selection of a safety actuator and one or more of a plurality of secondary actuators. Responsive to receiving the request, the device transmits a copy of a safety message from the safety actuator to a first microcontroller to a second microcontroller. The device validates the safety message at the first microcontroller and the second microcontroller, the validation resulting in first validation values from the first microcontroller and second validation values from the second microcontroller. The device validates the first validation values against the second validation values, and, responsive to successfully validating the safety message at the first microcontroller and the second microcontroller, and successfully validating the first validation values against the second validation values, commands the device to transition from the normal mode to the functional safety mode.

The present application relates to a data processing method for a numerical control system, a computer device and a storage medium. The method comprises: receiving a data request, the data request carrying a target data identifier; parsing the data request to obtain an interactive type corresponding to the target data identifier; when the interactive type corresponding to the target data identifier is a type corresponding to real-time data, searching for data corresponding to the target data identifier in a shared memory of the numerical control system; transferring the data corresponding to the target data identifier from the shared memory to a data cache of the numerical control system and outputting the data.

A method of monitoring and controlling an industrial process includes capturing images of a non-sensible process condition of the industrial process with an image capture device, receiving the images of the non-sensible process condition with a computer system, and converting each image into a corresponding numeric value with a machine learning model stored in and operable by the computer system. The corresponding numeric value is then received and compared to a predetermined numeric value for the non-sensible process condition with a closed-loop controller, and an actuator operates with the closed-loop controller to adjust operation of the industrial process when the corresponding numeric value fails to match the predetermined numeric value or is outside of a defined threshold near the predetermined numeric value.

A method of monitoring and controlling an industrial process includes capturing images of a non-sensible process condition of the industrial process with an image capture device, receiving the images of the non-sensible process condition with a computer system, and converting each image into a corresponding numeric value with a machine learning model stored in and operable by the computer system. The corresponding numeric value is then received and compared to a predetermined numeric value for the non-sensible process condition with a closed-loop controller, and an actuator operates with the closed-loop controller to adjust operation of the industrial process when the corresponding numeric value fails to match the predetermined numeric value or is outside of a defined threshold near the predetermined numeric value.

Systems and methods are provided for improving skincare product formulations to address predicted skin trends. A biomarker analysis system is used to determine concentrations of various protein biomarkers of a user. A skin diagnosis computing device uses the protein biomarker concentrations to determine one or more skin trends, and determines one or more skincare product ingredients to address the skin trends. A skincare product is compounded that includes the one or more skincare product ingredients.

Systems and methods are provided for improving skincare product formulations to address predicted skin trends. A biomarker analysis system is used to determine concentrations of various protein biomarkers of a user. A skin diagnosis computing device uses the protein biomarker concentrations to determine one or more skin trends, and determines one or more skincare product ingredients to address the skin trends. A skincare product is compounded that includes the one or more skincare product ingredients.

The machine tool includes modules and a control portion. Each of the modules includes a main spindle for holding a workpiece and a tool post for holding a tool. The tool is used to machine the workpiece held by the main spindle. The control portion is configured to control to restrict a parallel execution of predetermined machining for the workpiece and machining affected by the predetermined machining and to permit an execution of machining other than the restricted machining.

A data acquisition system for dielectric analysis measurements, including a sensor interface configured to connect to one or more sensors located within an active machining zone of an industrial manufacturing machine, a module processor coupled to the sensor interface and configured to receive measurement values from one or more sensors connected to the sensor interface, a cloud interface coupled to the module processor, and a machine interface coupled to the module processor. The measurement values indicate physical properties of workpieces processed in the active machining zone of an industrial manufacturing machine. The cloud interface is configured to connect to cloud-based resources, and the machine interface is configured to connect to a controller of the industrial manufacturing machine. The module processor is configured to transmit the received measurement values from the one or more dielectric sensors to cloud-based resources via the cloud interface and to transmit manufacturing control signals to the controller of the industrial manufacturing machine via the machine interface, the manufacturing control signals being based on parameters received from cloud-based resources via the cloud interface.

The present application relates to a bus communication signal conversion method and device, a medium, and a numerical control machine tool control equipment. The bus communication signal conversion method comprises: acquiring an interface type of a bus interface of a first equipment end; receiving an output signal sent by a communication interface of a second equipment end; extracting a working parameter value of the second equipment end from the output signal; and sending the working parameter value of the second equipment end to the bus interface of the first equipment end according to a communication protocol corresponding to the interface type. The use of the present method can achieve signal conversion between different types of interfaces, thereby ensuring effectiveness of communication.

The present application relates to a bus communication signal conversion method and device, a medium, and a numerical control machine tool control equipment. The bus communication signal conversion method comprises: acquiring an interface type of a bus interface of a first equipment end; receiving an output signal sent by a communication interface of a second equipment end; extracting a working parameter value of the second equipment end from the output signal; and sending the working parameter value of the second equipment end to the bus interface of the first equipment end according to a communication protocol corresponding to the interface type. The use of the present method can achieve signal conversion between different types of interfaces, thereby ensuring effectiveness of communication.