1110 results about "Process variable" patented technology

The present invention provides an adaptive process control and profit depiction system which is responsive to both process measurement input signals, economic inputs, and physical environment inputs. The process control system features an interactive optimization modeling system for determining manipulated process variables (also known as setpoints). These manipulated process variables are used to position mechanisms which control attributes of a manufacturing system, such as a valve controlling the temperature of a coolant or a valve controlling the flow rate in a steam line.

This invention teaches a quality assurance system for additive manufacturing. This invention teaches a multi-sensor, real-time quality system including sensors, affiliated hardware, and data processing algorithms that are Lagrangian-Eulerian with respect to the reference frames of its associated input measurements. The quality system for Additive Manufacturing is capable of measuring true in-process state variables associated with an additive manufacturing process, i.e. those in-process variables that define a feasible process space within which the process is deemed nominal. The in-process state variables can also be correlated to the part structure or microstructure and can then be useful in identifying particular locations within the part likely to include defects.

A number of techniques are disclosed to facilitate process data collection and monitoring. The techniques may involve and support the selection of process parameters to be monitored, including scanning techniques for automated identification of such parameters. The techniques may also involve the management of data storage and archiving operations to facilitate continued process data collection arising from an on-line process. In these and other ways, the disclosed techniques are well-suited for process data collection and monitoring in connection with diagnostic elements of a process control system and other contexts involving process status indicators and the underlying process variables.

Systems and methods are provided that allow a user to monitor, diagnose, and configure a process. A user interface may be presented that displays data received from process monitors, sensors, and multivariate models. The user interface may be interactive, allowing a user to select which composite and multivariate models are displayed. The user interface and multivariate model may be constructed and updated in real time. The user interface may present various data and interfaces, such as a representation of a composite variable in a multivariate model, a representation of the contribution of process variables to the composite variable, and a representation of a subset of the process variables. The user may select a point of the composite variable for analysis, and the interface may indicate the contribution and values of process variables at the selected point. The interface may be transmitted to a remote user.

A high fidelity distributed plant simulation technique includes a plurality of separate simulation modules that may be stored and executed separately in different drops or computing devices. The simulation modules communicate directly with one another to perform accurate simulation of a plant, without requiring a centralized coordinator to coordinate the operation of the simulation system. In particular, numerous simulation modules are created, with each simulation module including a model of an associated plant element and these simulation modules are stored in different drops of a computer network to perform distributed simulation of a plant or a portion of a plant. At least some of the simulation modules, when executing, perform mass flow balances taking into account process variables associated with adjacent simulation modules to thereby assure pressure, temperature and flow balancing (i.e., conservation of mass flow) through the entire simulation system. In a dynamic situation, a transient mass storage relay technique is used to account for transient changes in mass flow through any non-storage devices being simulated by the simulation modules. Moreover, adjacent simulation modules located in different drops communicate directly with one another using a background processing task, which simplifies communications between adjacent simulation modules without the need for a central coordinator.

A process variable transmitter, implemented in a dual PLL structure, includes a first PLL having a first bandwidth producing a first output signal, and a second PLL having a second bandwidth narrower than the first bandwidth of the first PLL. The first and second PLLs are operable to lock into a frequency of an input signal and produce first and second output signals, respectively. The second PLL is operable to lock into the frequency of the input signal with greater accuracy and greater immunity to noise than the first PLL. A switch is operable to switch an output signal of the process variable transmitter between the first output signal and the second output signal.

Methods and systems to detect steady-state operations in a process of a process plant include collecting process data. The collected process data is generated from a plurality of process variables of the process. A multivariate statistical model of the operation of the process is generated using the process data. The multivariate statistical model may be generated from a principal component analysis. The model is executed to generate outputs corresponding to the most significant variations in the process. Statistical measures of the outputs are generated and used to determine whether a steady-state or unsteady-state is related to the process.

The present invention generally relates to the monitoring and controlling of a semiconductor manufacturing environment and, more particularly, to methods and systems for virtual meteorology (VM) applications based on data from multiple tools having heterogeneous relatedness. The methods and systems leverage the natural relationship of the multiple tools and take advantage of the relationship embedded in process variables to improve the prediction performance of the VM predictive wafer quality modeling. The prediction results of the methods and systems can be used as a substitute for or in conjunction with actual metrology samples in order to monitor and control a semiconductor manufacturing environment, and thus reduce delays and costs associated with obtaining actual physical measurements.

An adapter for coupling to a process control transmitter of the type used to monitor a process variable in an industrial process includes a first connection configured to couple to a first side of a two wire process control loop, a second connection configured to couple to a second side of the two wire process control loop and in series with a first connection to a process control transmitter, and a third connection configured to couple to a second connection of the process control transmitter. Wireless communication circuitry is coupled to at least the third connection and is configured to provide wireless communication for the process control transmitter. Intrinsic safety circuitry coupled to at least one of the first, second and third connections is configured to limit transfer of electrical energy to a value which is less than an intrinsic safety value.

A real-time system and method for online monitoring a transient operation in a continuous casting process. The transient operation refers to, but is not limited to, submerged entry nozzle changes, flying tundish changes, product grade changes, etc. This invention treats the aforementioned transient operations as batch processes and utilizes multiway principal component analysis to develop a multivariate statistical model to characterize normal process transitions based on carefully selected historical process data. Such a model is used by an online monitoring system to determine if a continuous caster transient operation is normal. This monitoring system can further be used to predict an impending breakout, one type of catastrophic process failures which may occur in a continuous casting process, during the transient operation. Process variables that are most likely related to the predicted breakout are identified by the system such that appropriate control actions can be taken to prevent an actual breakout occurrence.

The invention discloses a multi-operating process monitor method based on principal component analysis and support vectors data. The method establishes a uniform PCA model to various operating mixed data firstly, puts score vectors of principal component space and residual space to high dimension characteristic space. Two new statistics are established in the characteristic space for monitoring the principal component space and residual space. When the process goes wrong, a fault reconstruction method based on SVDD identifies fault. The method establishes two SVDD statistics monitor model to various operating based that the principal analysis method is used for reducing process variable dimension, reduces statistics limit of processing monitor, increases sensitivity of processing monitoring. In addition, the invention provides a fault reconstruction and identifying method aiming at detected process fault which can locate source of fault commendably, is benefit to removing fault as soon as possible, returns process to normal operation.

A system is provided that includes sensors(s) configured to provide sensed input including measurements of motion and/or orientation of a user during performance of a task to work a complex-system component. The system includes a front-end system configured to process the sensed input including the measurements to identify a known pattern that indicates a significance of the sensed input from which to identify operations of an electronic resource. The front-end system is configured to form and communicate an input to cause the electronic resource to perform the operations and produce an output. The operations include determination of an action of the user during performance of the task, or calculation of a process variable related to performance of the task, from the measurements. And the front-end system is configured to receive the output from the electronic resource, and communicate the output to a display device, audio output device or haptic sensor.

A method and system of monitoring multivariate process data in a process plant, where the multivariate process data comprises a plurality of process variables each having a plurality of observations, includes defining each process variable as a process variable vector comprising a set of observation components, where the set of observation components comprises time dependent process data corresponding to the observations of the process variable, calculation, a multivariable transformation as a function of a plurality of process variable vector transformation each corresponding to one of the process variables, where each process variable vector transformation is a function of a univariate variable unifying the process variables, and representing the operation of the process based on the multivariable transformation, where the representation of the operation of the process designates a multivariate projection of the process data by the univariate variable for each of the process variables.

An integrated material transfer and dispensing system for storing, transferring and dispensing materials, such as fluids, and liquids, for example, liquid applied sound deadener (LASD). The system includes at least one vessel having a force transfer device. Each vessel may be removably enclosed in cabinet to form an automated station. Each vessel may be configured with a data logger, cleanout port, a sample valve at least one sight window and an access port for introducing a compound such as a biocide. Each vessel may be configured with instruments including sensors for measuring process variables, such as material volume, level, temperature, pressure and flow. The system may further include a metering device system and a robotic material dispenser system without a pump interface. The robotic system may further include a computer control system connected to flow and pressure sensors. The system may directly feed an applicator without an intervening pump.

The present invention is directed to computer-based methods and system to perform root-cause analysis on an industrial process. The methods and system load process data for an industrial process from a historian database and build a hybrid first-principles and inferential model. The methods and system then executes the hybrid model to generate KPIs for the industrial process using the loaded process variables. The methods and system then selects a subset of the KPIs to represent an event occurring in the industrial process, and divides the data for the subset into multiple subset of time series. The system and methods select time intervals from the time series based on the data variability in the selected time intervals and perform a cross-correlation between the loaded process variables and the selected time interval, resulting in a cross-correlation score for each loaded process variable. The methods and system then select precursor candidates from the loaded process variables based on the cross-correlation scores and execute a parametric model for performing quantitative analysis of the selected precursor candidates, resulting in a strength of correlation score for each precursor candidate. The methods and system select root-cause variables from the selected precursor candidates based on the strength of correlation scores for analyzing the root-cause of the event.

Natural fiber welding is a process by which individual fibers are swollen by an appropriate ionic liquid-based solvent system to form a congealed network. Manipulated fibrous materials may be either composed of natural polymers such as cellulose, hemicellulose, silk, et cetera, or synthetic polymers, or mixed materials. The process is principally controlled by the composition of the solvent system which includes an ionic liquid solvent plus additives such as water, methanol, et cetera. Other conditions such as the amount and placement of solvent, as well as time, temperature, and pressure control the extent to which neighboring fibers are fused. Only the material at the outer surface of fibers need be sufficiently mobile to merge with that of neighboring fibers. Material in the fiber core may be left in the native state by controlling process variables. Fibers form a congealed network upon removal of the ionic liquid-based solvent.