11results about "Sampled-variable control systems" patented technology

This data collection device acquires a plurality of pieces of variable data each of which is measured or calculated for each sampling period in a control system. The data collection device comprises: a user input unit that allows a user to select any of the plurality of pieces of variable data; and an explanatory image display unit that displays an explanatory image indicating the corresponding position, in the control system, of the piece of variable data selected by the user via the user input unit.

Operator interface device for a process control system comprising: a display; an operator display module for presenting an operator application on the display; an alarm presentation interface to be presented on the display via the operator application, wherein the alarm presentation interface includes a timeline to graphically indicate a temporary relationship of a plurality of active alarms of the process control system by displaying an icon associated with each of the active alarms along the timeline, characterized in that a manual control action is presented on the timeline to indicate a temporary relationship of the manual control action to the active alarms, or a process state change is presented on the timeline to indicate a temporary relationship of the process state change to the active alarms.

An apparatus for controlling fluid flow and in particular fluid flow through a microfluidic multi-port control valve assembly of a High Pressure Liquid Chromatography (HPLC) unit. The flow control apparatus has a localized data repository for storing local valve position data and cumulative wear indications of components of the apparatus. The stored information travels with the apparatus allowing for more reliable predictive failure of components of the apparatus and translation of local valve position data for compatibility with host valve information. The translated valve position data enables determination of whether valve motion is acceptable and complete.

a motor control device is used to control a drive circuit to drive a motor to operate, and the motor control device includes a control module, an angle sensing device, and a current sensing device. The control module is use to count a plurality of first specific cycles and a plurality of second specific cycles, and provide a count value that increases with time during each first specific cycle. The angle sensing device is use to sample an angle parameter of the motor at a first time of each first specific cycle according to a resolver ISR, and the current sensing device is use to sample a current parameter provided by the drive circuit at a second time of each second specific cycle according to a current ISR. The control module compensates the angle parameter according to each ISR and the timestamp.

An adaptive sampling system uses dynamic adjustment of sampling rates to efficiently capture aperiodic, time-variant numerical measurements. This system evaluates real-time data variability to modulate sampling frequency, ensuring that only significant data variations are recorded. This approach minimizes unnecessary data storage and processing, enhancing the efficiency of data transfer and analysis in systems requiring precise monitoring and control. The system for data acquisition prioritizes accuracy and resource optimization in fluctuating conditions.

The present application belongs to the technical field of intelligent monitoring of alloy hot working process, and relates to a data acquisition and feedback system for alloy material working process. The present application synchronously acquires state data and temperature data of the alloy material at a reference frequency through a data acquisition unit, and automatically switches to a diagnostic frequency when the data changes abnormally. A stage judgment unit identifies the working stage according to the state data and working time, and calculates the temperature difference. A regulation and control generation unit calculates the equipment regulation and control amount based on the temperature difference, thermal response parameters and stage planning time. An execution feedback unit executes the control instruction and monitors the temperature response, and triggers a warning when the temperature response continuously deviates. The present application solves the problems of inaccurate temperature control and response lag in the alloy hot working process, realizes real-time intelligent monitoring and self-adaptive regulation and control of the working process, improves the accuracy and stability of temperature control, effectively guarantees the working quality of the alloy material, and enhances the intelligent control level of the hot working process.

The disclosed method for manufacturing a concrete product includes performing, in a curing chamber, a carbonation curing process on a formed intermediate of the concrete product, monitoring one or more product properties of the formed intermediate during the carbonation curing process, and terminating the carbonation curing when a detected change in the one or more product properties of the formed intermediate, or in a rate of change of the one or more product properties of the formed intermediate, reaches or exceeds a predetermined threshold value.

A method of sensor placement and design with control-related objective relates to implementation of steps that consist in evaluating the correct design and placement of specific sensors for data collection with the highest degree of prioritization, their subsequent verification and validation, and then adjusting the design and placement to achieve the desired data output. The method comprises defining an optimal control problem followed by specifying the properties of sensors that could be deployed and deciding on the deployment of sensors and deciding adjustable properties of the deployed sensors so as to optimize the control performance, in terms of the objective function of the optimal control problem. Advantageously, the method employs defining a model-predictive controller for the optimal control problem, wherein the model-predictive controller first estimates the state of the system utilizing sensor data, and subsequently chooses the control signal so as to optimize the objective function of the optimal control problem over a certain finite time horizon, and in the final step, the control performance of the model-predictive controller is expressed in terms of the objective function of the optimal control problem over a certain time horizon.

The invention relates to a method for monitoring and regulating a technical plant process, in particular an industrial manufacturing process for producing a product, in which - a profile representing the variation over time of at least one process parameter (P) such as pressure, temperature, geometric and / or optical features and energy consumption is recorded, - a momentary state of the process (Zi) is continuously determined on the basis of the at least one process parameter (P) such that a profile of states of the process (Zi) is obtained, wherein a respective state of the process (Zi) is a an indicator of the quality of the plant process or of a product produced by the plant process, - a trained model (M), which includes a probability matrix (W) which indicates probabilities (Wij) for a change of state (Zij) between different states of the process (Z), is used for the plant process, - a transition probability (Wij) for the change of state of the momentary state of the process ( Zi) into another state of the process (Zj) is determined on the basis of the model (M) and - a measure for achieving a predefined target variable (X) when the plant process is being carried out is initiated on the basis of the momentary state of the process (Zi) and the determined transition probability (Wij).

The application discloses a kind of contact displacement sensor and motion controller data synchronization method and system, belong to part geometric processing and detection technical field, the core parameter of extracting measuring seat, sensor and the like component, construct open parameter library and light weight three-dimensional model, complete sensor subsystem model interactive assembly by adaptation principle;With the center of measuring seat rotation as zero point reference, realize sensor three-dimensional model and virtual-real alignment of physical hardware after calibration, establish the vector calculation system of measuring tip position and zero point, realize the quick update of measuring tip position after pose change and motion controller reference point synchronization, support automatic measurement.The model of the application is open and extensible, calculation is simple and efficient, reduces development difficulty, improves measurement synchronization accuracy and efficiency.