715 results about "Critical parameter" patented technology

Apparatus for a modular battery management system with interchangeable slave modules connected to each cell and including a master module controlling and managing the battery system. All the modules receive power through a transfer switch that selectively switches between an external source, an auxiliary source, and the battery. The modules are configured to connect to a cell of the battery for charging and monitoring the cell individually. Each module is electrically isolated from the other modules. The modules are autonomous and shut down the battery and disconnect the module when a critical parameter of the cell is reached. When the battery is in service and a cell parameter approaches the critical level, the master controller instructs the corresponding slave module to charge the cell using battery power. The master module initializes the slave modules to uniquely identify the modules.

A system for remotely monitoring operations of an HVAC system such as a chiller system having a control center, or a rooftop unit. The system utilizes a remote monitoring unit (RMU) located on-site. The RMU is in one-way communication with the component of the air conditioning system and receives data indicative of the operation of the component and determines whether the component is operating outside the normal operating parameters. When the RMU determines, from the data, that there is a problem that is within a critical parameter range, then a critical alarm is generated and the RMU opens a line of communication with a remote monitoring diagnostics device (RMD) located at the facility of the HVAC or refrigeration manufacturer and downloads the information to the RMD which determines whether remedial action is required and initiates remedial action if required.

A system for remotely monitoring operations of an HVAC system such as a chiller system having a control center, or a rooftop unit. The system utilizes a remote monitoring unit (RMU) located on-site. The RMU is in one-way communication with the component of the air conditioning system and receives data indicative of the operation of the component and determines whether the component is operating outside the normal operating parameters. When the RMU determines, from the data, that there is a problem that is within a critical parameter range, then a critical alarm is generated and the RMU opens a line of communication with a remote monitoring diagnostics device (RMD) located at the facility of the HVAC or refrigeration manufacturer and downloads the information to the RMD which determines whether remedial action is required and initiates remedial action if required.

A train integrity network system comprises bogie units which monitor critical parameters relating to the condition of bogie components and the rail track they are travelling on, an onboard server which controls the bogie units and a wireless network which enables communication between the server and the bogie units. Each bogie unit is powered by an electrical generator which utilises the rotation of the bogie wheels and has a processor which compares the critical parameters against defined standards in order to issue alerts to the train driver. The wireless network utilises master / slave base band role switching, has store-and-forward nodes which convey quasi real time data to the server and utilises frequency hopping modes.

Apparatus for a modular battery management system with interchangeable slave modules connected to each cell and including a master module controlling and managing the battery system. All the modules receive power through a transfer switch that selectively switches between an external source, an auxiliary source, and the battery. The modules are configured to connect to a cell of the battery for charging and monitoring the cell individually. Each module is electrically isolated from the other modules. The modules are autonomous and shut down the battery and disconnect the module when a critical parameter of the cell is reached. When the battery is in service and a cell parameter approaches the critical level, the master controller instructs the corresponding slave module to charge the cell using battery power. The master module initializes the slave modules to uniquely identify the modules.

Fractal computers are neural network architectures that exploit the characteristics of fractal attractors to perform general computation. This disclosure explains neural network implementations for each of the critical components of computation: composition, minimalization, and recursion. It then describes the creation of fractal attractors within these implementations by means of selective amplification or inhibition of input signals, and it describes how to estimate critical parameters for each implementation by using results from studies of fractal percolation. These implementation provide standardizable implicit alternatives to traditional neural network designs. Consequently, fractal computers permit the exploitation of alternative technologies for computation based on dynamic systems with underlying fractal attractors.

This invention relates to activities pertaining to life-cycle-stages of enterprise-processes, whether implemented within the boundary of a single organization or spanning several organizational boundaries. In particular it relates to (1) establishing a community of participant-systems and a schema to create collaborative capabilities (2) establishing a combination of one or more methods and one or more technologies to impart seamlessness to the end-to-end flow of information and content related to the life-cycle stages of the process, (3) establishing end-to-end visibility to key parameters and (4) establishing ways to control the course and speed of activities associated with one or more life-cycle stages.

A system and method for estimation and analysis of operational parameters in workflow processes in order to establish effect of parameters on one or more critical parameters is provided. The method includes creating a Bayesian network including one or more operational nodes representing one or more operational parameters and one or more critical nodes representing one or more critical parameters. The method further includes generating an evidence set based on market events and deducing inferences based on the generated evidence set and Bayesian engine. Inferences are deduced by determining possible discrete states of operational parameters associated with one or more target nodes and their probability distribution values. Deduced inferences are then validated to confirm strength of probability distribution values. Forecasting for a selected operational parameter is performed by obtaining probability distribution of independent parameters and then performing forecasting for the selected parameter using Bayesian locally weighted regression model.

The invention allows the interpolation factor, a critical parameter in sample rate conversion systems, to be computed in a real-time system where there is a complex relationship between a DSP clock and the data clocks. Typically, two or three of the clocks in such a system will have simple relationships (such as CLOCK1=2*CLOCK2). This relationship leads to degenerate cases where, in fact, there are only one or two clocks to consider rather than three. Furthermore, the invention allows for input data rates that are higher than the DSP clock rate. The invention also provides for an arbitrary time delay to be applied to the output signal.

The present invention relates to a timing system including an integrated circuit having an oscillator that provides both high and low frequency clock signals from a single high frequency crystal without the necessity of a tuning fork crystal. The low frequency signal is available for time-keeping applications, with low power consumption during “idle” periods. The high performance high frequency signal is available on demand for clock and frequency reference use. The oscillator of the present invention provides improved time-keeping accuracy, whilst size, cost and component count is reduced. Furthermore, phase noise and other critical parameters of the high frequency oscillator are not compromised. Shock vulnerability, a known problem for tuning fork crystals, is reduced.

The invention provides a large coal-fired unit online monitoring and optimal control system and an implementation method thereof. The method includes the steps of analyzing combustion characteristics of a boiler of a large coal-fired unit, and performing boiler combustion optimization and adjustment test to acquire boiler operation key parameters; determining a relation of the boiler operation key parameters to boiler efficiency and NOx emission, and establishing an optimal control model according to the relation; training the optimal control model to obtain specific optimal values of boiler operation parameters under highest boiler efficiency. The large coal-fired unit online monitoring and optimal control system and the implementation method thereof have the advantages that boiler efficiency is improved on the premise of guaranteeing low NOx emission and operational economy of power plants is effectively improved.

The invention discloses a lane line detection method under a complex road condition scene. The method is used for a smart car to obtain road image information and instantly conduct lane line identification. The method includes scanning the edge image after the edge information of a road condition image is obtained, and calculating the connecting direction of edge pixel points to filter the abnormal noise edge of the connecting direction. The characteristic information of the disappearing point of a lane line can be used, and the position information of the disappearing point can be obtained through a ballot mechanism. The disappearing point serves as the constraint conditions for filtering interference line segment, and also as the key parameters for fitting a lane line. The method eliminates the influence of interference factors of tree shadows, characters and driving vehicles on the pavement, the lane line detection under various complex environments can be realized, and high accuracy and good robustness are ensured.

The use of computer technology and the internet to quickly locate, view, compare by user-selected values from drop-down lists for key parameters, and select marketable products or other data. The growth of the internet has exceeded the capacity of existing technologies and business methods to allow business and consumer users to sort through a vast sea of data. Drop-down lists displayed within fields of key parameters enables the manipulation of data according to user-selected criteria, in which all conceivable products, whatever their use or country of manufacture, can be located, reviewed, compared, and selected for purchase. The invention uses a hierarchy-based software system that will allow the computer user to search and find required data directly. The user will no longer waste time sifting through search results that are outside the needs of his current search.

A system and method are disclosed for creating a network of persons, efficiently connected to a computer through a location-aware mobile phone network, to enable them to perform the duties of sensing agents to collect and deliver to a computer server human-observable data of commercial or public value across a large area. The data collection process tightly integrates the agents, using the phones as the primary interface to the server, to program the actions and objective results of the agent-observers, effectively making them extensions of software programs resident on a computer server. Requests, via Internet browser-based interfaces from clients of such data, are translated by software into specific instructions to appropriate agents in the network specifying such parameters as observations sought, sample densities, locations, frequencies of observations and other such critical parameters. Reporting and delivery of analyzed results to the client is automatic, modulated as necessary by other database information.

The invention is applied in the field of nuclear power control, and provides a method for controlling the starting and stopping of a turbo generator set of a nuclear power plant, a device for controlling the starting and stopping of the turbo generator set of the nuclear power plant, and a digital control system (DCS). The method comprises the following steps of: detecting the running state and running parameters of the turbo generator set, the running state and running parameters of an auxiliary system of the turbo generator set, and fault information in the running of the turbo generator set; displaying the detected information on the same function tracking interface in a centralized way; and directly controlling the starting and stopping of the turbo generator set according to the information displayed on the function tracking interface. The method provided by the embodiment of the invention can make an operator directly and rapidly discover the anomaly of the turbo generator set, rapidly and accurately obtain key parameters and judge reasons, so that the operator can directly, rapidly and accurately control and intervene the starting and stopping of the turbo generator set of the nuclear power plant to ensure the security of the turbo generator set of the nuclear power plant.

A technique is described for performing critical parameter analysis (CPA) of a semiconductor device (DUT) by combining the capabilities of conventional automated test equipment (ATE) with a focused optical beam scanning device such as a laser scanning microscope (LSM). The DUT is provided with a fixture such that it can be simultaneously scanned by the LSM or a similar device and exercised by the ATE. The ATE is used to determine pass / fail boundaries of operation of the DUT. Repeatable pass / fail limits (for timing, levels, etc.) are determined utilizing standard test patterns and methodologies. The ATE vector pattern(s) can then be programmed to “loop” the test under a known passing or failing state. When light energy from the LSM scanning beam sufficiently disturbs the DUT to produce a transition (i.e., to push the device outside of its critical parameter limits), this transition is indicated on the displayed image of the DUT, indicating to the user which elements of the DUT were implicated in the transition.

A vehicle positioning apparatus is shown and described. The positioning apparatus is adaptable for the guidance of a vehicle into a limited space, such as in the case of a boat approaching a dock, slip, or trailer. The vehicle includes two emitters, producing two images reflected to the operator of the vehicle. The emitters are spaced from each other in such a manner that the operator may determine direction, orientation, and other critical parameters of the vehicle during approach to the limited space by viewing of the reflected images. Targets may be employed to enhance the image seen by the operator.

The invention discloses an AC-DC hybrid micro grid bidirectional power converter virtual synchronization motor control method, and relates to the AC-DC hybrid micro grid virtual synchronization motorcontrol field; the bidirectional power converter is a three-phase voltage source type PWM converter formed by IGBT switch tubes; the AC side is connected to a AC bus via a LC filter and a line impedance Z ac; the DC side is connected to a DC bus via a DC capacitor Cdc and an line impedance Zdc; the energy bidirectional transmission can be realized respectively via a frequency control unit, a virtual excitation control unit and a bidirectional power transmission control unit; the AC frequency and DC voltage can be directly controlled so as to keep AC-DC subnet load balancing; throughput characteristics of various types of power supplies and loads of the AC-DC subnet can be fully utilized so as to provide inertia for the AC frequency and DC voltage, thus enabling the bidirectional power converter to present sagging characteristics under a stable state, and building a bidirectional power converter closed loop system small signal model so as to provide a key parameter design method.

A method for searching, analyzing, and optimizing process parameters and a computer product thereof are provided. At first, sets of process data that are generated when a process tool processes workpieces are obtained respectively, each set of process data including process parameters. Then, sets of metrology data measured by a metrology tool are obtained, wherein the sets of metrology data are corresponding to the sets of the process data in a one-to-one manner, each workpiece having at least one measurement point, each set of metrology data including at least one actual measurement value of at least one measurement item at the at least one measurement point. Thereafter, critical parameters are selected from the process parameters. Then, values of the critical parameters are adjusted to enable predicted measurement values of the measurement points of one workpiece to meet a quality target value.

The invention provides a prediction method for complete machine performance decline trend of an aeroengine, and the prediction method comprises the steps of: firstly determining typical parameters required to be monitored of the aeroengine under different working conditions, carrying out preprocessing and similarity transformation, then amending the discharge temperature of the aeroengine, and finally calculating the discharge temperature margin, wherein the engine is needed to be returned to the factory for overhaul when the discharge temperature margin is 0. By adopting the method, key parameter data of the engine can be collected by utilizing data collecting hardware conditions equipped on an existing plane, and the engine performance change trend is predicted on the basis of the data, so that the available resources are sufficiently utilized, and the support is provided for the safety of the aeroengine.

The invention provides a dynamic process based debris flow dynamic risk analysis system and method. The method comprises the steps of: establishing a drainage basis model; obtaining spatial and temporal distribution of rainfalls; calculating debris flow characteristic parameters of the drainage basis space; and establishing a risk assessment model for analyzing dynamic risk of the debris flow and outputting a debris flow dynamic risk chart. The dynamic process based debris flow dynamic risk analysis system and method have the beneficial effects that: for considering the current situations and for solving the problems in the current debris flow risk researches, a new method for debris flow dynamic risk analysis based on debris flow dynamic process by considering dynamic boundary conditions is provided; a general framework model is established; a 3D dynamic risk chart can be output by inputting any space debris flow dynamic process and the characteristic parameters (flowing speed, flowing depth, flow process and the like) in various kinds of rainfall processes (at different design frequencies, and under monitoring); and therefore, the dynamic process based debris flow dynamic risk analysis system and method can be widely applied to debris flow monitoring and early warning, design of key parameters of prevention and treatment projects, disaster management and the like.

A method for evaluating reliance level of a virtual metrology system is disclosed. In this method, a reliance index (RI) and a RI threshold value are calculated by analyzing the process data of production equipment, thereby determining if the virtual metrology result is reliable. Besides, in this method, a global similarity index (GSI) and individual similarity indexes (ISI) are also provided for defining the degree of similarity between the current set of process data and all of the sets of historical process data used for establishing the conjecture model, thereby assisting the RI in gauging the degree of reliance and locating the key parameter(s) that cause major deviation.

Methods and systems for developing and bio-refining or processing biomass feedstocks into a spectrum of bio-based products which can be used as a substitute for fossil oil derivatives in various types of product manufacturing processes and / or the production of bio-energy are disclosed. In addition, methods and systems for identifying, measuring and controlling key parameters in relation to specific biomass developing processes and bio-refining processes so as to maximize the efficiency and efficacy of such processes while standardizing the underlying parameters to facilitate and enhance large-scale production of bio-based products and / or bio-energy are disclosed.

The invention relates to a battery multi-model fusion modeling method based on a self-adaptive weight method and a battery management system. The self-adaptive weight method is used for calculating different models so as to switch model working modes based on different weights, it is ensured that output fusion models or selected models can work in an optimal mode under any usage condition, finally accurate and reliable prediction and tracking of key parameters and properties are achieved, and the overall quality of the control performance is improved. By deeply analyzing the precision, stability, calculated quantity, storage space and other property characteristics of different battery models under working conditions, multiple environments and multiple stages, online constantly updated multi-model fusion modeling is achieved, and the problem that accurate prediction of existing model properties is difficult to achieve for a battery system under internal and external factors such as full life cycle, uncertain and dynamic working condition and environments and single functions cannot meet all usage requirements is solved.

A control system architecture that allows a semiconductor laser to be stabilized with respect to critical parameters, such as output power and / or emission wavelength, with a reduced cost with respect to the components required to implement control, while simultaneously maintaining or increasing precision of the control function. This is achieved using sophisticated integrated circuitry contained within the laser package to measure data related to multiple laser operation parameters and to transmit these parameters to a control circuit. In particular, precision thermal measurements may be used to eliminate the need for optical detectors in the laser package. The invention described herein has significant utility for different types of semiconductor lasers, including both edge emitting and VCSEL-type semiconductor lasers.

A geophysical sensor apparatus, system, and method for use in, for example, oil well operations, and in particular using a network of sensors emplaced along and outside oil well casings to monitor critical parameters in an oil reservoir and provide geophysical data remote from the wells. Centralizers are affixed to the well casings and the sensors are located in the protective spheres afforded by the centralizers to keep from being damaged during casing emplacement. In this manner, geophysical data may be detected of a sub-surface volume, e.g. an oil reservoir, and transmitted for analysis. Preferably, data from multiple sensor types, such as ERT and seismic data are combined to provide real time knowledge of the reservoir and processes such as primary and secondary oil recovery.

The invention discloses a method for evaluating hydrocarbon potential key parameters of high-quality hydrocarbon-source rock, and belongs to the technical field of oil and gas resource evaluation. The method includes the key steps of firstly, determining an immature and low-mature oil hydrocarbon expelling threshold, a normal hydrocarbon threshold and a normal hydrocarbon expelling threshold of high-quality hydrocarbon-source rock according to geochemistry data of hydrocarbon-source rock; secondly, establishing the hydrocarbon-source rock hydrocarbon amount and a hydrocarbon rate evaluating model; thirdly, establishing the hydrocarbon-source rock hydrocarbon expelling amount and a hydrocarbon expelling evaluating model, and evaluating the target level hydrocarbon-source rock hydrocarbon expelling amount and hydrocarbon expelling rate key parameters; fourthly, establishing a high-quality hydrocarbon-source rock organic carbon recovery coefficient evaluating model, and evaluating a target level hydrocarbon-source rock organic carbon recovery coefficient; fifthly, evaluating a research area target level high-quality hydrocarbon-source rock hydrocarbon potential plane graph, and analyzing the relation between the plane graph and tight oil hydrocarbon contribution. Immature and low-mature stage hydrocarbon potential key parameters of high-quality hydrocarbon-source rock are subjectively and accurately evaluated, and the blank, weakened by people in the past, of immature and low-mature stage hydrocarbon of high-quality hydrocarbon-source rock is filled in.