34results 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.

A computer-implemented system including a plurality of environmental parameter sensors affixed to, or associated with, a building including a plurality of sensors affixed to components of the building façade and configured to continuously monitor one or more environmental parameters; the plurality of sensors in data communication with a data recordal device configured to capture sensor data generated by the plurality of sensors; and a computing device in communication with the data recordal device including one or more processors that receive and process the sensor data captured by the data recordal device to thereby assess the performance of the building façade.

An adapter device and / or a thermostat device for use during installation and testing of in-floor heating systems. The adapter device allows for temporary electrical interconnection between a mat and an alternating current (AC) power source, and includes at least one switch configured to actuate based on a user-supplied force (e.g., a finger press) to temporarily electrically couple the mat to an AC power source. The at least one switch is further configured to automatically de-actuate in the absence of the user-supplied force to electrically decouple the mat from the AC power source. The thermostat device includes at least one integrated power measurement circuit for testing and diagnostics of an in-floor heating system.

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 computer-implemented system including a plurality of environmental parameter sensors affixed to, or associated with, a building including a plurality of sensors affixed to components of the building façade and configured to continuously monitor one or more environmental parameters; the plurality of sensors in data communication with a data recordal device configured to capture sensor data generated by the plurality of sensors; and a computing device in communication with the data recordal device including one or more processors that receive and process the sensor data captured by the data recordal device to thereby assess the performance of the building façade.

The analog input acquisition system comprises a sensor module, an acquisition circuit unit and an MCU module, the sensor module is connected with the input end of the acquisition circuit unit through a signal input interface, and the output end of the acquisition circuit unit is connected with the input end of the MCU module. The acquisition circuit unit comprises an anti-interference circuit, a sampling circuit and a protection matching circuit which are connected in sequence, and the sampling circuit realizes switching of voltage or current acquisition channels through an MOS tube and a resistance network; the MCU module is internally provided with an ADC module used for analog-to-digital conversion, outputs a low-frequency sine disturbance signal of a high-frequency carrier wave to the sampling circuit through a PWM port, and performs mean filtering and digital low-pass filtering processing on conversion data of the ADC module. According to the invention, the complexity of the circuit structure is reduced, the cost is reduced, and the sampling reliability, the acquisition resolution and the precision are improved.

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.

An automated maintenance, monitoring and diagnostics infrastructure can include small, portable sensor devices, which can be attached to industrial machines and physical equipment. The sensor devices include wireless communication facilities and an accelerometer, capable of measuring vibration signals. Based on received sensor data, the system determines an anomaly associated with a physical equipment and periodically evaluates additional data generated by the sensor device and determines an occurrence in a change of the anomaly.

A method for obtaining information about a quality of combustion of a liquid in a chemical recovery boiler. The method comprises inputting a value of a first input parameter to a computational model configured to determine a value of the quality of combustion of the liquid in the chemical recovery boiler based on the value of the first input parameter, and first running the computational model to obtain a first modeling result. The method comprises measuring a value indicative of a carryover from the chemical recovery boiler to obtain a measurement result, comparing the first modeling result to [a] the measurement result or [b] a result derived from the measurement result to obtain a primary comparison result, and adjusting the value of the first input parameter based on the primary comparison result to obtain an adjusted value of the first input parameter. The method comprises inputting the adjusted value of the first input parameter to the computational model, and second running the computational model to obtain the information about the quality of combustion of the liquid in the chemical recovery boiler.

The invention belongs to the technical field of alloy hot working process intelligent monitoring, and relates to an alloy material processing process data acquisition and feedback system. The state data and the temperature data of the alloy material are synchronously acquired by the data acquisition unit at the reference frequency, and the diagnosis-level frequency is automatically switched when the data change is exceptional; the stage judgment unit recognizes the machining stage according to the state data and the machining time and calculates the temperature difference; the regulation and control generation unit calculates the equipment regulation and control quantity based on the temperature difference, the thermal response parameter and the stage plan time; and the execution feedback unit executes the control instruction, monitors temperature response and triggers early warning during continuous deviation. The problems of inaccurate temperature control and response lag in the alloy hot working process are solved, real-time intelligent monitoring and self-adaptive regulation and control in the machining process are achieved, the accuracy and stability of temperature control are improved, the machining quality of alloy materials is effectively guaranteed, and the intelligent control level of the hot working process is enhanced.

A computer-implemented system including a plurality of environmental parameter sensors affixed to, or associated with, a building including a plurality of sensors affixed to components of the building façade and configured to continuously monitor one or more environmental parameters; the plurality of sensors in data communication with a data recordal device configured to capture sensor data generated by the plurality of sensors; and a computing device in communication with the data recordal device including one or more processors that receive and process the sensor data captured by the data recordal device to thereby assess the performance of the building façade.

A utility sensor module includes one or more sensors and an electronic processor. The electronic processor is configured to receive a pause mode command and initiate a pause mode timer at a first predefined timer value in response to receiving the pause mode command. The electronic processor is further configured to change an operating mode of the utility sensor module to a pause mode, wherein operation in the pause mode causes the sensor module to not generate an alarm when a parameter sensed by the sensors exceeds a predetermined threshold. The electronic processor is also configured to transmit a signal to a utility system indicating that the operating mode has been changed to the pause mode and determine whether the pause mode timer has expired. In response to determining that the pause mode timer has expired, the electronic processor changes the operating mode to a normal operation.

The invention provides an analog-to-digital integrated isolation type anti-interference system, which belongs to the field of data acquisition and signal processing, and is characterized in that full-link anti-interference processing is carried out on an analog input signal through an analog-to-digital integrated isolation type anti-interference hardware circuit; a data processing and self-correction module carries out sorting jitter elimination processing on N groups of digital original signals of the same acquisition channel to obtain a sampling effective value, carries out sorting jitter elimination processing on a reference value in a predetermined calibration period to obtain a reference effective value, and then calculates an offset error and a gain error. And finally, the sampling effective value is compensated and calculated based on the error to obtain a corrected value, and the corrected value is output to the outside, so that a closed-loop self-correction function without manual intervention is realized, and zero offset and gain error caused by individual difference and long-term drift of the sensor are effectively compensated. And the precision, stability and reliability of long-term operation of the analog quantity acquisition system are obviously improved.

A method of determining multimodal polyethylene quality comprising the steps of (a) providing a multimodal polyethylene resin sample; (b) determining, in any sequence, the following: that the multimodal polyethylene resin sample has a melt index within 30% of a target melt index; that the multimodal polyethylene resin sample has a density within 2.5% of a target density; that the multimodal polyethylene resin sample has a dynamic viscosity deviation (% MVD) from a target dynamic viscosity of less than about 100%; that the multimodal polyethylene resin sample has a weight average molecular weight (Mw) deviation (% MwD) from a target Mw of less than about 20%; and that the multimodal polyethylene resin sample has a gel permeation chromatography (GPC) curve profile deviation (% GPCD) from a target GPC curve profile of less than about 15%; and (c) responsive to step (b), designating the multimodal polyethylene resin sample as a high quality resin.

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.

A cooking appliance (100) including: a heating element (102) and / or a motor (104) for processing a food item from a first state to a desired state, each state being associated with a physical quantity: a sensor (106) to measure the physical quantity: a microcontroller (110) configured to control the heating element and / or the motor at one or more set points; and a memory (120) connected to the microcontroller (110) for storing information, the memory (120) storing a loss function and a sensor function; wherein the microcontroller (110) receives sensor information from the sensor (106) related to the physical quantity and is configured to: commence processing of the food item by activating the heating element (102) and / or the motor (104): at time tn, determine a first probability associated with the food item being in the first state or the desired state based on the sensor information and the sensor function: determine a loss value for each set point of the heating element (102) and / or the motor (104), the loss value being based on the first probability and the loss function; and operate the heating element (102) and / or the motor (104) at the respective set point with the lowest loss value.

A heart lung machine (HLM) includes: a pump actuator; an actuator control unit (ACU) operably connected to the pump actuator; a processing unit configured to receive a set of parameter data from the actuator; a display device configured to present a subset of the set of parameter data; and an input control device operably connected to the pump actuator. The input control device includes a rotatable knob. The ACU may be configured to: determine that the pump actuator has been stopped in response to a pump-stop trigger event; determine that the rotatable knob has been rotated to a first position; and in response to determining that the rotatable knob has been rotated to the first position, starting the pump actuator.

The invention relates to the technical field of industrial data acquisition, and discloses a core component performance optimization method and system for a chip acquisition device, and the method comprises the steps: collecting key electrical and time sequence parameters of a main control chip, a front-end signal conditioning module and an analog-to-digital converter, and constructing a core component performance parameter set under a dynamic working condition; based on the set, analyzing a performance coupling relationship between core components, adopting a multivariable coupling analysis method to quantify a parameter matching degree, a collaboration degree and a correlation degree, identifying a performance bottleneck, generating an adaptive parameter optimization strategy, calling a main control chip firmware optimization algorithm library, and dynamically calculating collaborative optimization parameters; synchronously issuing the parameters to corresponding parts, verifying the signal integrity and the effective data rate through a standard signal acquisition test, and performing iterative optimization if the signal integrity and the effective data rate do not reach the standard; and the monitoring optimization process is periodically repeated, and performance optimization is completed in combination with an environment temperature and load trend predictive fine tuning strategy. The technical problem that fixed parameter configuration or off-line calibration is difficult to adapt to dynamic working conditions is solved.

A method and a process plant directed to implementing a production process of a pulp and paper product.

A process control system including an automation device, a process control function, a cycle time determining function and hardware implementing the process control function and cycle time determining function, where the process control function controls the automation device in a process control loop via a first wireless communication network and the cycle time determining function obtains a first mapping of cycle time of the process control loop to quality of service of the first wireless communication network and control performance of the process control loop, analyses the first mapping and determines a cycle time to be used in the first wireless communication network based on the analysis.

The subject matter of the present specification may be embodied, among other things, a method for controlling a turbine engine that includes measuring, by a speed sensor, a waveform indicative of a speed of a rotating machine. A waveform is received from a velocity sensor and data representative of the waveform is provided to a first signal path and a second signal path, where the second signal path is isolated from the first signal path such that data communication over the second signal path does not interfere with communication over the first signal path. One or more operations of the rotating machine are controlled in response to the data received along the first signal path. Data received along the second signal path, individual samples of the data, are stored in association with respective timestamps indicating the time at which the data was received.

Methods and systems for tracking use of sensor probes in a biomanufacturing environment. A typical sensor probe includes an elongated cylindrical body that may include a hollow inner cavity exposed at the bottom end of the elongated cylindrical body along with a probe ID. A method may include affixing this trackable ID to one or more sensor probes such that the trackable ID may be associated with a dedicated probe sensor data set stored in a cloud data store. Further, initial meta data may be assigned to the probe's the respective could data set that includes additional initial details about the associated sensor probe, such as make and manufacture of the probe, operating parameters of the probe, unique ID number, and / or expected lifespan statistics (number of uses expected, number of calibrations expected, number or autoclaves expected, and the like).

A diagnostics system comprising a controller for controlling operations of a mass flow controller. The controller is communicable coupled to at least one sensor and to a valve and tuned to control the valve based on a predetermined set point value and communication from the at least one sensor. The controller determines at least one predetermined value associated with a reverse flow of a fluid and either cause the controller to enter a hard fault or a safe state. The predetermined value of the flow is either a percentage of total flow or a percentage of total flow over a time period. The controller can log the date, time, and a device identifier in response to determining the at least one predetermined value. In addition, the diagnostics system can include a centralized controller configured to receive diagnostics data from a plurality of controllers and control operation of the controllers.