64results about "Sampled-variable control systems" patented technology

The invention relates to the technical field of data acquisition, in particular to an equipment target control data acquisition system and method, and the system comprises a state potential energy module, a speed projection module, a trajectory fusion module, a collaborative preloading module and an acquisition trigger module. According to the method, a potential function sequence is constructed by obtaining an angular velocity change rate and angular momentum, a characteristic stable section is determined by comparing an identification change point with a fall-back point, attitude stability description is improved, characteristic capture under interference is carried out, an included angle rate is calculated by using inertial navigation velocity projection filtering, and a motion mode analysis section and a data quality focusing key interval are determined by comparing. A multi-node early warning section is determined by fusing radar coordinate trajectory recognition composite section and analysis section time overlapping, early warning accuracy is enhanced by combining internal and external information, a unified scheduling instruction is generated to cooperate with preloading to improve timeliness, a sensor is activated according to the instruction to record and store, accurate and loss-free cooperative acquisition in a key period is guaranteed, and data integrity is improved.

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 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 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.

The present invention relates to a high-speed storage apparatus for hydraulic shock data on water level and flow rate, which detects fluctuations in the water level and flow rate of a pipeline through a sensor so as to store per-second sampled data in data blocks of an internal storage device in real time, and, in particular, separately stores raw data in a separate data block of the internal storage device for a predetermined period of time before and after an event occurs because of a hydraulic shock, thereby ensuring big data about changes in sensor detection signals, and thus a stable pipeline can be designed in consideration of hydraulic shock.

The present disclosure discloses a system and a method for mitigating data drift in an industrial plant. The method includes monitoring, by a processor (202), one or more process parameters associated with an industrial plant (102). The method includes detecting, by processor (202), a drift in one or more process parameters based on a deviation from one or more predefined process parameters. The method includes determining, by processor (202), one or more drift context and process context based on drift and one or more process parameters. The method includes determining, by processor (202), sampling strategy from plurality of sampling strategies based on one or more drift and process context for sampling one or more process parameters using first Artificial Intelligence (AI) model (216). The method includes training, by processor (202), second Al model (302) based on sampling strategy for mitigating data drift.

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 present invention relates to an evaluation method for an oilfield produced water treatment system in the field of oilfield produced water treatment technology. By regularly extracting water samples from each unit of the produced water treatment system on-site and detecting the light transmittance and potential value, an evaluation model and an evaluation method are designed to realize the evaluation of the treatment efficiency and stability of each treatment unit and the overall treatment system of the produced water treatment system, and solve the problem that it is difficult to quickly quantify the on-site evaluation of chemical agents such as destabilization treatment during the produced water treatment process.

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 management component for a sensor system including a plurality of sensors, wherein the management component is configured to: receive data from a first sensor of the sensor system, wherein the data relates to at least one of a plurality of predetermined observations performed by the first sensor; based on the received data, select at least one second sensor of the sensor system; transmit at least one instruction based on the received data to the selected at least one second sensor.

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.

A management component for a sensor system including a plurality of sensors, wherein the management component is configured to: receive data from a first sensor of the sensor system, wherein the data relates to at least one of a plurality of predetermined observations performed by the first sensor; based on the received data, select at least one second sensor of the sensor system; transmit at least one instruction based on the received data to the selected at least one second sensor.

Embodiments of the present disclosure relate to a system and method for mitigating data drift in an industrial plant. The method includes monitoring, by a processor (202), one or more process parameters associated with an industrial plant (102). The method includes detecting, by the processor (202), a drift in the one or more process parameters based on a deviation from the one or more predefined process parameters. The method includes determining, by the processor (202), one or more drift contexts and process contexts based on the drift and the one or more process parameters. The method includes determining, by the processor (202), a sampling policy from a plurality of sampling policies based on the one or more drifts and the process context, the sampling policy for sampling the one or more process parameters using a first artificial intelligence (AI) model (216). The method includes training, by the processor (202), a second AI model (302) for mitigating data drift based on the sampling policy.

The present invention provides a performance evaluation device comprising: an acquisition unit that acquires sampled values ​​of gas turbine output and steam turbine output measured at various times during operation of a combined cycle power generation plant that uses a gas turbine and a steam turbine to generate electricity; and an output calculation unit that calculates a total output, i.e., a plant output, of the sampled value of the gas turbine output measured at a first time and the sampled value of the steam turbine output measured at a second time corresponding to the gas turbine output at the first time and after a predetermined delay time has elapsed from the first time.

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.

A separator assembly for separating fat, oil, and grease from effluent includes a container for receiving and holding effluent water containing oil, grease and solid waste to be removed from the effluent water and a communications module having a processor, memory and transmitter at the facility site to communicate over cellular or WiFi signals with a remote station. The separator may include a skimmer to skim F.O.G. from the effluent water held in the container or be of a grease trap mode collecting F.O.G. for subsequent removal.

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.

To realize a configuration capable of performing accurate time management while suppressing an increase in cost related to time management even if the number of sensing devices used for data collection increases.SOLUTION: An information collecting system includes a first device having a counter, a second device collecting data from one or more sensing devices in response to a command from the first device, and a third device having a timer for time management. The first device adds a first count value output by the counter at the time the second device collects the data to the data collected by the second device to generate a first data set. The third device adds to the first data set a correspondence between the time output by the timer and a second count value output by the counter of the first device.SELECTED DRAWING: Figure 1

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 present invention relates to the field of data acquisition technology, specifically to an equipment target control data acquisition system and an acquisition method thereof. The system includes: a state potential energy module, a velocity projection module, a trajectory fusion module, a collaborative preloading module, and an acquisition trigger module. In the present invention, a potential function sequence is constructed by acquiring the angular velocity change rate and angular momentum, identifying the change and comparing the fallback point to determine the characteristic stable segment, improving the attitude stability characterization and feature capture under interference, using inertial navigation velocity projection filtering to calculate the angular rate, comparing and determining the motion mode analysis segment, focusing data quality on key intervals, integrating radar coordinate trajectory identification composite segments, and determining multi-node early warning segments with analysis segment time overlap, combining internal and external information to enhance early warning accuracy, generating unified scheduling instructions for collaborative preloading to improve timeliness, activating sensor recording and storage according to instructions, ensuring accurate and lossless collaborative acquisition during critical periods, and improving data integrity.

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.

The present invention relates to the technical field of intelligent control of devices, and discloses an intelligent control device signal acquisition method, device, equipment and storage medium. The present invention performs digital simulation on each intelligent control device to obtain a scenario collaborative intelligent control model, analyzes and forms a scenario live simulation framework and a perception interference analysis framework based on this model, collects real-time intelligent control features and substitutes them into the framework to obtain a scenario live information matrix and a perception interference information matrix, and obtains the perception collaborative countermeasures of each device according to the matrix analysis, and drives the device to work and perform scenario perception according to the collaborative countermeasures, so as to realize signal acquisition and interference removal. This method can eliminate the perception interference between intelligent control devices through accurate modeling and real-time feedback, realize the collaborative work between devices, provide more accurate control and perception capabilities for the devices, and solve the problem that the work between multiple intelligent control devices in the prior art affects the perception capabilities of the devices.