27 results about "Performance factor" patented technology

A method and system for operating a device includes generating a first set of raw data, reducing the first set of data using a plurality of reductions to obtain reduced sets of data and a performance factor for each reduced data set to determine an inflection point relative to the performance factor, determining a second data set reduced from the set of raw data based on a reduction from the plurality of compressions at or below the inflection point, and controlling the device based on the second data set.

The invention discloses an aircraft performance monitoring method, device, terminal and system and a storage medium, and the method comprises the steps: obtaining a preprocessed flight data stream from an airborne flight data preprocessing device in the flight process of a target leg, analyzing and processing the flight data meeting the effective leg screening condition in the preprocessed flight data stream to obtain the flight data of the effective leg; based on the flight data of the effective leg, calling an embedded performance factor analysis logic to carry out performance factor analysis so as to obtain a performance factor of the effective leg; and in response to a flight end instruction of the target leg, displaying a performance monitoring result on a display based on the performance factor of each effective leg. According to the invention, while the timeliness of airplane performance monitoring is improved, the interference on airborne system data is avoided, the safety is ensured, and an airplane crew can master the performance condition of an airplane in time.

Embodiments of the present application disclose a resource scheduling method, a terminal device and a storage medium. The resource scheduling method comprises: obtaining current application scenario information; selecting a corresponding user perception model according to the current application scenario information; the user perception model represents a corresponding relationship between a user perception score and a time delay; determining a pre-configured reference point corresponding to the user perception model; and performing model conversion on the user perception model based on the pre-configured reference point to obtain a performance factor and time delay corresponding relationship; determining a real-time performance factor corresponding to a real-time time delay based on the performance factor and time delay corresponding relationship, so as to adjust the performance capability of a frequency adjustment scheduling mechanism by using the real-time performance factor when the real-time time delay arrives.

The present technology relates to an apparatus and method for predicting quality of a product and a computer program and is directed to providing a solution capable of increasing a manufacturing yield of finished products and reducing a discard rate by verifying a tolerance range of a process factor applied to a product manufacturing process and optimizing a tolerance range of an unverified process factor. The present technology may provide a configuration in which a second target value of a performance factor of the finished product and an uncertainty range of the second target value are predicted from a first target value of a target process factor applied to a target manufacturing process and a tolerance range of the first target value using the performance prediction model, and the predicted uncertainty range is compared with a predefined reference range to verify the tolerance range of the first target value.

The present application relates to the technical field of industrial process control and intelligent manufacturing, in particular to a wood shaving mixture quality control and efficiency optimization management system, comprising a performance factor deconstruction unit for collecting real-time agent attribute data to generate an agent attribute vector; converting the agent attribute vector into a standardized performance factor vector; a total factor exposure evaluation unit for calculating a real-time total factor vector; solving the factor deviation degree of the real-time total factor vector and an ideal factor vector; and discriminating the factor deviation degree to generate a qualified signal, a first-level deviation signal or a second-level deviation signal; a formula dynamic optimization unit for constructing a cost-benefit optimization function, solving a new mixing ratio and issuing an execution; a model closed-loop correction unit for constructing a performance prediction model; and updating a factor mapping matrix; the present application solves the technical problem of difficult unified management and evaluation caused by high heterogeneity of raw materials, effectively ensuring the stability of the final product quality.

The application discloses a signal processing combination performance verification system based on DSP communication test, relates to the real-time test technical field of a digital signal processor, and specifically comprises: a homomorphism copying module, a slot injection module and a performance judgment module; the dynamic configuration parameters of a current DSP operation core are captured in real time through hardware sniffing of a bus, and the dynamic configuration parameters are mirrored to shadow registers; a peek unit is used to identify the bubble period of a pipeline through prediction logic; at the moment when the main computing unit is in a waiting period, the operation of the shadow register group is enabled by hardware, a preset characteristic test vector is input into a computing engine, and a shadow operation is completed; the real-time data flow of a main path and the reference data flow of a shadow path are compared in time domain and frequency domain by a hardware comparison array, the second derivative of a response time delay is calculated, a comprehensive performance factor is output, online verification of the combination performance of a DSP signal processing is realized, fault types can be accurately distinguished, and the reliability and maintainability of the system are improved.

This invention discloses a method and apparatus for causal structure discovery based on expert knowledge correction, comprising: determining a performance factor dataset of a target protocol; obtaining an adjacency matrix of the target protocol obtained based on expert knowledge; training a preset autoencoder based on the performance factor dataset and the adjacency matrix, and determining a target causal graph based on the model parameters during training. This invention trains a preset autoencoder based on the adjacency matrix of the target protocol obtained based on expert knowledge and the performance factor dataset, and determines the target causal graph based on the model parameters during training, thereby obtaining the causal structure of the target protocol on performance influencing factors. This fully utilizes expert knowledge and improves the accuracy of generating the causal graph.

The application discloses a harmonic distributed treatment method based on a self-learning algorithm, and belongs to the field of harmonic treatment of distribution networks. The method adopts a voltage detection active power filter (VDAPF) to treat harmonics, and the key to distributed treatment of a "double-high" distribution network is proposed. The application proposes a method for quantifying the global treatment effect and the degree of participation of VDAPF in collaborative treatment, respectively, to obtain a preliminary performance factor. The preliminary performance factor is converted into a final performance factor based on a self-learning algorithm, and the local control G-U lifting adjustment characteristics of the VDAPF are combined to realize self-organizing distributed optimization of treatment equipment in a distributed treatment system. The harmonic distributed treatment method based on the self-learning algorithm can solve the problem that scattered treatment is not applicable due to the intensification and decentralization of harmonic sources, and can change passive harmonic treatment into active harmonic treatment.

The invention relates to the technical field of bid invitation projects, and discloses an unmarked bid invitation purchase project node chain type synthesis method, which comprises the following steps of: obtaining a project correlation judgment basis field set corresponding to each project node according to a preset importance coefficient; constructing a project basis field model for the project correlation judgment basis fields, and outputting a plurality of field historical performance factors corresponding to a project correlation judgment basis field set; calculating a project node correlation degree magnitude of the project correlation judgment basis field set based on the field historical performance factor; judging whether the plurality of project nodes belong to the same project or not according to the relationship between the project node association degree magnitude and a preset project node association degree magnitude, synthesizing the project nodes belonging to the same project, and quantitatively analyzing the association of the field information of each project node, according to the invention, high-accuracy automatic chain-type synthesis of bid-invitation purchasing project nodes is realized, so that the problem of'information isolated island 'is solved, and a complete and accurate bid-invitation project is formed.

The invention relates to the technical field of industrial process control and intelligent manufacturing, in particular to a wood shaving mixing quality control and efficiency optimization management system which comprises a performance factor deconstruction unit used for collecting real-time agent attribute data to generate agent attribute vectors; converting the proxy attribute vector into a standardized performance factor vector; the total factor exposure evaluation unit is used for calculating a real-time total factor vector; calculating the factor deviation degree of the real-time total factor vector and the ideal factor vector; the factor deviation degree is judged, and a qualified signal, a first-level deviation signal or a second-level deviation signal is generated; the formula dynamic optimization unit is used for constructing a cost-benefit optimization function, solving a new mixing proportion and issuing and executing the new mixing proportion; the model closed-loop correction unit is used for constructing a performance prediction model; updating the factor mapping matrix; the technical problem that unified management and evaluation are difficult due to high heterogeneity of raw materials is solved, and the quality stability of final products is effectively guaranteed.

The present disclosure provides a feature disturbance-based pavement performance key factor identification method and system, relating to the technical field of performance factor identification, comprising obtaining the characteristic performance and geometric parameters of the road pavement, and constructing a scaled model of the road pavement; obtaining a plurality of performance influencing factors that affect the road pavement, inputting the performance influencing factors into a neural network model for extreme feature disturbance, adjusting the values within the range of [0, 1] by setting the maximum and minimum values, observing the changes in the output results of the neural network model, and preliminarily determining the key factors that have a great influence on the output results of the neural network model; repeatedly inputting the obtained key factors into the neural network model and verifying the accuracy of the selected key factors in a probabilistic manner. The present disclosure can accurately obtain the performance key factors generated by the change of the pavement.

A turbomachine includes an annular casing and a fan disposed inside the annular casing and mounted for rotation about an axial centerline. The fan includes fan blades that extend radially outwardly toward the annular casing. The fan has an average chord fan width according to a first performance factor. The fan has a quantity of fan blades according to a second performance factor.

The application relates to the technical field of vehicle component fault diagnosis, in particular to a fault diagnosis method and device for a multi-catalytic system, wherein the method comprises the following steps: acquiring rear oxygen voltage signals of at least two catalytic converters in a vehicle exhaust system; calculating relative performance factors between the at least two catalytic converters according to the rear oxygen voltage signals of the at least two catalytic converters; and identifying a fault diagnosis result of the multi-catalytic system according to the relative performance factors and a comparison threshold. Therefore, the problem that, in the related art, different catalytic converters on the same vehicle can cause manufacturing tolerances, installation positions and uneven heat load distribution, leading to inconsistent performance decay rates and further affecting the fault diagnosis precision of the catalytic converters is solved.

An apparatus and method for maintaining substantially uniform aging of equivalent processing circuitry in a pipeline stage of a processor are disclosed. The processor includes one or more processing units, each including one or more pipelines. Each pipeline includes a series of pipeline stages, each performing a specific function. In this regard, the processor also includes an aging management circuit (AMC) configured to store performance factors indicative of aging of the equivalent processing circuitry in the pipeline stages. In response to a work input in a given pipeline stage, the AMC is further configured to route the work input to one of the equivalent processing circuitry in the pipeline stage based on the stored performance factors. Thus, the AMC controls the frequency of use of the equivalent processing circuitry in its pipeline stage to substantially maintain uniform aging of the equivalent processing circuitry.

A turbomachine includes an annular casing and a fan disposed inside the annular casing and mounted for rotation about an axial centerline. The fan includes fan blades that extend radially outwardly toward the annular casing. The fan has an average chord fan width according to a first performance factor. The fan has a quantity of fan blades according to a second performance factor.

The invention relates to the field of intelligent process adjustment of injection molds, and discloses an automatic adjustment system and method for process parameters of an injection molding part mold, and the method comprises the following steps: collecting multi-cycle injection molding data, accumulated use times and maintenance records, and generating a corresponding weak point list; taking the collected and sorted operation historical data and the weak point list as input, establishing an attenuation model, and outputting corresponding model parameters and weak point sensitivity correction coefficients; matching with current use times, recent maintenance records and field environment parameters to generate a controllable capability range parameter set; pressure and temperature are collected in real time and compared with a controllable range parameter set, and when the pressure and the temperature reach a threshold value, an optimal process combination is generated through digital twinning rapid simulation, and the injection speed, the melt glue temperature, the pressure maintaining time and the cooling time are automatically adjusted; and carrying out dynamic reestimation on the capability threshold by combining the latest operation deviation data with the residual performance factor and the sensitivity correction coefficient. The method has the advantage of improving the stability of the injection molding process.

A turbomachine includes an annular casing and a fan disposed inside the annular casing and mounted for rotation about an axial centerline. The fan includes fan blades that extend radially outwardly toward the annular casing. The fan has an average chord fan width according to a first performance factor. The fan has a quantity of fan blades according to a second performance factor.

A turbomachine includes an annular casing and a fan disposed inside the annular casing and mounted for rotation about an axial centerline. The fan includes fan blades that extend radially outwardly toward the annular casing. The fan blades include a first fan blade having a fan blade airfoil body and a metal edge. The fan blade airfoil body has a leading edge. The metal edge is located at the leading edge and has a plurality of fail-fuse elements. The fan has an average chord fan width according to a first performance factor. The fan has a quantity of fan blades according to a second performance factor.

The present invention relates to a method (300) and system (100) for providing an application for wellbore schematic designing and managing wellbore completions. The method (300) is configured to display a user interface (UI) with a canvas and a well schematic library, allowing a user to position well components for wellbore design. Further, the method (300) generates the wellbore design based on user inputs and displays it on the UI. Further, simulation parameters are then received from the user, and the processor computes various well performance factors, such as tubing movement, particle size distribution, torque and drag, PVT analysis, and well barrier protection. Based on these computations, the system (100) determines necessary alterations to the wellbore design and applies these changes to optimize well completion. This method enables dynamic and efficient wellbore management, integrating design adjustments and simulations to ensure optimal performance and safety in well completion processes.

Apparatus, methods, and computer program products for determining a preferred data subscription for data service are provided. An example method may include establishing a connection with a network based on a first subscriber identity and a second subscriber identity. The example method may further include communicating with the network based on the first subscriber identity based on the first subscriber identity being a preferred data subscription. The example method may further include determining to recommend to switch the preferred data subscription to the second subscriber identity based on a utility function based on one or more performance factors and one or more non-performance factors. The example method may further include using the second subscriber identity as the preferred data subscription for data service associated with the UE.

A unit for evaporative cooling includes a first frame with a cover and an open second frame opposite the first frame. A post is located between and coupled to the first and second frames. A porous hollow fiber membrane extends around the post between the first frame and the second frame and is coupled to the first frame and the second frame to form an internal volume. The first frame and the second frame are configured for flowing water between the first frame and the second frame via the membrane. The membrane is configured to deliver water between the first frame and the second frame and to allow airflow from the interior volume through the membrane for evaporative cooling. The cooling unit may generate cooling water. Cooling unit performance factors can be controlled through water flow, air flow, water temperature and pressure. The unit can control air humidification.

This invention relates to the field of heat exchanger heat transfer enhancement and simulation technology, specifically to a groove channel optimization method and related equipment based on Bayesian algorithm. The method involves setting constraints on the geometric parameters of the groove channel and the value range of the parameters to be optimized, and constructing a simulation model. By running the model, the Nusselt number and friction factor are extracted, and the comprehensive heat transfer performance factor is calculated as the objective function. An initial surrogate model of the objective function and the parameters to be optimized is established using the Bayesian algorithm. The surrogate model is iteratively updated until the termination condition is met. Finally, the maximum value of the comprehensive heat transfer performance factor during the iteration process is selected, and the corresponding parameter combination is output as the optimal solution, achieving synergistic optimization of heat transfer and flow resistance in the groove channel.

The present application relates to the technical field of copper pipe optimization, and particularly relates to a thin-wall threaded pipe parameter optimization method and system, which comprises the following steps: determining an initial pipe type parameter group of the thin-wall threaded pipe according to the use demand parameters, establishing a corresponding threaded pipe three-dimensional model, and carrying out a simulation test; determining a geometric improvement factor and a comprehensive performance factor according to the simulation test result, adjusting the initial pipe type parameter group of the thin-wall threaded pipe according to the values and fluctuation trends of the geometric improvement factor and the comprehensive performance factor, and obtaining a test pipe type parameter group; carrying out a simulation test under the condition of full permutation combination of multiple thin-wall threaded pipe parameters according to the test pipe type parameter group, and obtaining a series of pipe type parameter groups under the condition of full permutation combination; screening and integrating the series of pipe type parameter groups, and establishing a pipe type parameter performance database; and determining an optimal solution meeting the use demand, and realizing the standardized storage and multidimensional analysis of the parameters and performance data.

An annular combustor includes a combustion liner defining a combustion chamber, the combustion liner having an outer liner and an inner liner; and a plurality of recesses in the combustion liner. The combustion liner is characterized by a performance factor greater than or equal to one and less than or equal to seven. An engine includes the annular combustor.

The invention discloses a frame structure damage effect calculation method based on a substructure efficiency factor set. The method comprises two links of substructure efficiency factor set establishment and substructure efficiency factor set-based damage effect calculation. Explosion damage effect calculation is carried out on a plurality of local substructures of the frame structure through high-precision numerical simulation, substructure damage data are counted to establish a substructure efficiency factor set, and the frame structure damage effect calculation method is established in combination with all components of the frame structure and overall damage criteria. The technical method can overcome the defects that a traditional numerical simulation calculation and empirical formula method is low in calculation efficiency, poor in applicability and the like, has the advantages of being high in prediction precision, wide in application range, high in calculation efficiency and the like, rapidly calculates damage levels and component deformation of frame structures with different structure parameters, and has good application prospects. The requirement for rapid damage evaluation is met in wartime, and support is provided for firepower deployment optimization and strike strategy appointing.

The disclosed computer-implemented method may include receiving telemetry data from a devices corresponding to a computing item and predicting performance factors for the computing item using the received telemetry data. The method may also include generate a weighting scheme and applying the weighting scheme to the performance factors to determine a performance metric for the computing item. Various other methods, systems, and computer-readable media are also disclosed.