108 results about "System element" patented technology

The present invention relates to a digital twin processing method and system, and a cloud platform. The method comprises: acquiring production system elements, carrying out abstraction definition and parameterization description on the production system elements by means of digital-to-analog knowledge fusion of a mathematical model and a mechanistic model, so as to construct a digital twin ontology model; analyzing and reconstructing model data to obtain a mapping model of which object variables can be directly accessed and operated by a collective motion control method, so that the model is visualized at the cloud; and using an external data source to drive parameter update and operation matching of the model by means of a motion control method, so as to complete cooperative deployment and synchronous evolution of an actual physical device and the model in the production process on a cloud server. According to the present invention, a model is constructed by means of digital-to-analog knowledge fusion of a mathematical model and a mechanistic model, the model is mapped to achieve motion visualization, model parameter update and operation matching on the cloud are achieved, and then cooperative deployment and synchronous evolution of a physical device and the model are completed.

Systems and methods are disclosed that relate to applications and platforms for performing in-system testing for autonomous or semi-autonomous systems and applications. In some embodiments, resources of a computing system may be grouped into one or more subsets of system elements (e.g., “a chiplet”) and may be configured to be controlled via an associated local controller, which may enable and / or disable the chiplet as targeted. In embodiments, the local controllers may receive instructions from a central controller and, via the enabling and / or disabling of the chiplets, may maintain a number of resources consumed during system testing within a threshold. As a result, the system may be configured to perform system testing without additional resources and / or without redirecting resources that may be intended for other operations.

The invention discloses a reliability evaluation method for a micro-grid power distribution system based on a Bayesian network and a sequential Monte Carlo method, and the method comprises the steps: building a micro power supply multi-state combination output model according to the operation state of a power distribution element; carrying out load partitioning on the load in the microgrid through a multi-target particle swarm optimization algorithm; calculating a load output time sequence problem, and enabling the micro-grid distributed power supply to be equivalent to a piecewise function; carrying out analogue simulation on the wind speed and the illumination intensity by adopting an improved ARIMA (Autoregressive Integrated Moving Average), and establishing a time sequence composite model; calculating the ratio of the weekly load to the annual maximum load, the ratio of the daily load to the weekly maximum load, and the ratio of the load per hour to the daily maximum load; establishing a logic relation graph of each node through a Bayesian network, and establishing a time sequence source-load change model; in combination with the time sequence composite model and a time sequence source-load change model, sampling each node of a system element, and judging an operation state; and performing simulation analysis on the reliability index of the power distribution system to obtain a final result. The method can be used for improving the power supply performance by improving the reliability of the fixed-point weak link.

The invention discloses an electric power system safety assessment method and system considering multiple meteorological sensitive factors, and relates to the technical field of electric power system safety assessment, and the method comprises the steps: building a fault model under the influence of multiple meteorological factors based on the coupling effect of different meteorological factors on electric power system elements; and calculating the fault probability of each element of the power system under the extreme weather condition by using a multi-modal data fusion and neural network technology. And evaluating the safety of the power system through a Monte Carlo method in combination with the fault probability of the system element, and outputting a reliability index. According to the method, the dependence of traditional safety assessment on single-factor hypothesis, a static model and low-efficiency calculation is broken through, and a full-link innovation path of multi-factor dynamic perception-deep learning fusion modeling-global state probability assessment is realized; finally, the technical effects of improving the evaluation accuracy, adapting to extreme weather evolution and enhancing the emergency response capability of the power system are achieved, and the method has remarkable social value and engineering application prospects.

Methods and systems for scaling energy consumption in wireless network infrastructure, while retaining the ability to quickly scale when load changes. This end is accomplished by using containerized (or virtualized) applications to implement 5G core Network Functions, and utilizing network redundancy / geo-redundancy or a multihoming transport protocol for communication between these containerized (or virtualized) applications and other 5G system elements such as the network functions of the Radio Access Nodes (RANs) or the network functions of 5G Core. In particular, one or more core Network Functions (NFs) are instantiated as containerized applications executing on one or more virtualized hosts in a cloud-native orchestration environment. The containers are selectively activated or deactivated based on a demand for utilization of the associated NF. Because elements of the 5G RAN, 5G Core and one or more NFs are connected to one another via a protocol that supports network redundancy and / or geo-redundancy and / or multihoming, endpoint addressing need not be reconfigured when demand on the NFs changes.

The embodiment of the invention provides a power system robust optimization method and device considering meteorological uncertainty. The method comprises the steps of obtaining historical wind and light output data, historical load power consumption data, historical meteorological data and day-ahead meteorological data of a power system; carrying out serialization processing on system elements of the power system to obtain a serialization processing result; based on the serialization processing result and the equivalent reliability index of the electric power equivalent system, determining the credible capacity of the electric power system; performing point prediction on the wind and light output and the load power to correspondingly obtain a wind and light output prediction result and a load prediction result; fitting the wind and light output prediction result and the load prediction result to correspondingly obtain an output prediction power interval and a load prediction power interval; constructing a day-ahead scheduling planning model; performing correction processing on the day-ahead scheduling planning model to obtain an intra-day scheduling optimization model; and solving the day-ahead scheduling planning model and the intra-day scheduling optimization model to obtain a power optimization strategy of the power system.

Manufacturing analysis is provided. The method comprises identifying a feature of a product model defined by geometric, physical, and systems elements with semantic labels, names or title descriptions. Machine readable semantic links are created that connect the feature to elements in an enterprise knowledge library according to a machine readable ontological knowledge model. A producibility risk or opportunity for the product model is identified according to semantic relationships of the elements in the enterprise knowledge library linked to the feature. A user is alerted of the producibility risk or opportunity, and a note is added to a manufacturing design specification for the product model. The note provides a number of solutions for the producibility risk or opportunity, wherein the solutions are identified in the enterprise knowledge library according to the semantic relationships.

The invention provides a power distribution network pre-disaster active defense method considering network reconstruction. The method comprises the following steps: 1) establishing a power distribution network operation state model and defining system elements; 2) acquiring meteorological prediction data in a future preset time window, predicting the icing thickness of the distribution line at each moment, calculating the line failure probability according to the icing thickness, and judging the line with the failure probability exceeding a threshold value as a high-risk line; 3) constructing a pre-disaster active defense optimization model of the power distribution network; 4) introducing a second-order cone relaxation method to convert the non-convex power flow constraint in the pre-disaster active defense optimization model of the power distribution network into a convex constraint form; (5) carrying out iterative solution on the converted active defense model by adopting a Benders decomposition method to generate an optimal network reconstruction scheme, a power flow operation state and a distributed power supply output scheme, and (6) monitoring a line icing state in real time to realize dynamic updating of an active defense strategy.

The present invention relates to a digital testing method and computer equipment for a nuclear power plant simulator. The method comprises the following steps: obtaining key system elements by deconstructing the simulator's software configuration and calculation results, and performing digital modeling based on the key system elements to obtain a test object; obtaining a test mode by decomposing the simulator's test capabilities according to different quality attributes and performing digital reconstruction; constructing different digital test scenarios based on the test object and the test mode, and implementing the digital scenarios into automated test tools through programming to build a digital test system; obtaining control data, and performing test operations on the simulator using the digital test system based on the control data, and outputting difference results. Efficient, accurate, comprehensive, and maintainable testing of the nuclear power plant simulator is achieved. The efficiency, accuracy, and comprehensiveness of the test are collectively improved, and the maintainability and scalability of the test system are enhanced.

The invention discloses a data management level transition condition determination method and device, equipment and a storage medium. The method comprises the following steps: acquiring original low-altitude multi-source data of a target airspace; and constructing a dynamic capability element map according to the association relationship among the data indexes in the original low-altitude multi-source data. And based on a Bayesian structure algorithm, determining a data causal conduction path between the low-altitude multi-source data according to the dynamic capability element map. And for each data causal conduction path, running Monte Carlo simulation according to the data causal conduction path based on an initial simulation environment set by a pre-constructed intelligent simulation platform, and determining a level transition threshold condition corresponding to each pre-constructed preset level. According to the method, the transition condition can be accurately quantified, and a deterministic path for revealing a technology and system element coupling effect is provided for low-airspace data circulation.

This utility model relates to the field of communication system component testing technology, specifically a communication system sub-component aging test device. It includes a housing, a horizontal partition fixedly installed on the inner wall of the housing, a vertical partition fixedly installed on the top of the horizontal partition, and a duct at the top of the horizontal partition. The top outer wall of the duct is fixedly connected to the top inner wall of the housing, and an outlet duct is fixedly connected to the bottom outer wall of the duct. This utility model uses optical fiber to connect the network cable tray to the network cable housing, then the network is transmitted to the network cable head through the output line, and power is supplied through the charging port to the device, enabling the device to be connected to the network and powered. This achieves the effect of keeping the wiring tidy during testing and facilitating storage after testing. Prolonged network and power supply to batches of devices may cause abnormal overheating. When abnormal overheating occurs, a fan starts, delivering high-speed airflow to the device through the outlet duct to cool it down, thereby preventing fires caused by abnormal overheating during batch testing.

This disclosure provides systems, methods, and devices for supporting a memory system that processes data and metadata within memory of a memory device. In a first aspect, a method of controlling a memory device includes performing a first request in a first rank of the memory device during a first time period, where the first time period includes a first data access portion and a first metadata access portion; and executing a second request in a second rank of the memory device during a second time period, where the second time period includes a second data access portion and a second metadata access portion, wherein performing the first request in the first rank and performing the second request in the second rank includes interleaving the first request and the second request between the first rank and the second rank. Other aspects and features are also claimed and described.

The invention discloses a simulation substitution method for a multi-GFVSG grid-connected system. According to the method, a mechanical admittance model of the multi-GFVSG grid-connected system is constructed by using an electromechanical comparison principle. Based on a mechanical admittance model, a transfer function capable of completely describing active instruction input and power grid disturbance response of the multi-GFVSG system is deduced, power frequency response characteristics of the multi-GFVSG grid-connected system are analyzed by using the transfer function, and a circuit replacement simulation model of the multi-GFVSG grid-connected system is built by replacing mechanical elements with circuit system elements. And the power frequency response characteristics of the multi-GFVSG grid-connected system are verified by using a circuit substitution simulation result, so that the feasibility of analyzing the power frequency response characteristics of the multi-GFVSG grid-connected system by using a circuit simulation model is ensured. The multi-GFVSG grid-connected system power frequency response characteristic analysis method has the advantages that the system power frequency response characteristic can be accurately analyzed without establishing a complex multi-GFVSG grid-connected system simulation model, the calculation amount is small, and the multi-GFVSG grid-connected system power frequency response characteristic analysis method can be conveniently applied to research on the aspects of power frequency oscillation characteristic analysis and response performance optimization of the multi-GFVSG grid-connected system.

The invention relates to the technical field of cement-based material design, and discloses a machine learning-based cement-based material multi-scale intelligent design method, which comprises the following steps of: constructing a system element database of a cement-based material under nano-scale, micro-scale, meso-scale and macro-scale; based on a machine learning algorithm, training the system element database to construct a machine learning model so as to establish mapping and association among different scales; designing parameters under any scale are input into the machine learning model, forward prediction is executed, and performance and structural features of the target object under the scale are output and obtained; and inputting the performance or structural characteristics of the target object under any scale into the machine learning model, executing reverse derivation, and outputting design elements required for realizing the performance or the structure. The method has the characteristics of intelligence, automation and high efficiency, the labor cost is remarkably reduced, the limitation that a traditional fitting method is long in period and low in efficiency is overcome, and the technical blank of multi-scale information transmission and performance mapping is filled.

The present invention relates to a bidirectional redundant mesh network. The redundant mesh communication network uses multiple controllers or controller gateways to route messages and monitor the integrity of wired and wireless mesh system elements. Multiple control units and multiple paths provide various redundant communication solutions, thereby avoiding single points of failure in the network.

The present application relates to a kind of analytical modeling method of hydraulic switching conversion system considering throttling and switching nonlinearity, belong to the field of hydraulic switching conversion system.The method steps of the present application are:1) establish the input-output relationship of hydraulic switching conversion system element;2) system topology lumped parameter equivalence;3) system processing is single topology form without switching element, structure is invariable, and the nonlinearity characteristics of throttling and switching are retained;4) establish system nonlinear static model and the neighborhood linear dynamic model related to static operating point.This method can reflect the output of system under different parameter configurations and different inputs through analytical expression, and the solving speed is fast.The influence law of system parameters on output is determined, the parameter adjustment range is reduced, and the optimization objective function of system dynamic response is given, which can be applied to solve the output evaluation and parameter configuration difficulty of hydraulic switching conversion system under multiple working conditions.The present application provides guidance for the design and optimization of hydraulic switching conversion system.

The invention relates to a license translator. Systems, methods, and circuitry are provided for translating permission identifiers in bus access transactions. In one example, a processing system includes a source system element characterized by a plurality of source privilege levels; a destination system element characterized by a plurality of destination privilege levels; and translator circuitry coupled between the source system element and the destination system element. The translation circuitry includes an input and an output. The input is coupled to a source system element that inputs a bus access transaction, where the bus access transaction includes a source permission identifier that indicates a source privilege level. The output is coupled to a destination system element. The output provides a modified bus access transaction in which the source permission identifier is replaced by a destination permission identifier indicating a destination privilege level mapped to the source privilege level.

Systems, methods, and circuitries are provided for translating permission identifiers in bus access transactions. In one example, a processing system includes a source system element characterized by a plurality of source privilege levels; a destination system element characterized by a plurality of destination privilege levels; and translator circuitry coupled between the source system element and the destination system element. The translation circuitry includes an input and an output. The input is coupled to the source system element that inputs a bus access transaction, where the bus access transaction includes a source permission identifier indicating a source privilege level. The output coupled is to the destination system element. The output provides a modified bus access transaction in which the source permission identifier is replaced with a destination permission identifier indicating a destination privilege level mapped to the source privilege level.

An electromagnetic transient dynamic process simulation system under a power grid fault based on new energy grid connection belongs to the technical field of new energy power generation, and is characterized in that mathematical models of power system elements are built on a digital calculation tool platform such as a computer, and then a network formed by the mathematical models is solved through various numerical algorithms. The digital simulation has the main advantages of being not limited by the simulation scale, short in modeling and debugging time, safe and reliable in test environment, low in test cost and the like. With continuous development of digital technologies such as computers, the digital simulation technology has become a simulation means mainly used in scientific research and test work of an electric power system. The simulation system adopts an implicit trapezoidal integral method and a transient equivalent circuit to solve a network, supports interaction among a new energy side control system, a power grid relay protection device and a power grid model, and realizes comprehensive simulation of the network, a motor and a secondary control system.

System element for a detachable sealed connection of a sensor to a fluid system, comprising a measuring chamber (6) that can be connected to the fluid system by flow, wherein the measuring chamber (6) is formed in a housing (1) and a part of the wall of the measuring chamber (6) is formed by a membrane (2) that is significantly more flexible than the remaining part of the wall of the measuring chamber (6), wherein the part of the wall of the measuring chamber adjoining the membrane forms an outer wall (9) with a rim (10) on which the membrane (2) rests, and the membrane (2) has a circumferential bead (11) located on the side of the membrane (2) facing the measuring chamber (6), characterized in that the bead (11) engages in a recess (12) formed in the housing (1) around the outer wall (9), which extends around the measuring chamber (6).and in the area of ​​the recess (12) projecting pins (13) are arranged around the outer wall (9) and wherein holes (14) are provided in the bead (11) of the membrane (2) so that the pins (13) engage in the holes (13) in the bead (11) of the membrane (2).

To ensure the validity of part recognition data such that pass or fail of parts shape can be correctly determined even when lots are changed at update of the part recognition data.SOLUTION: An implementation system causes a control unit of a surface mount machine to execute: a determination process that determines pass or fail of the part shape, using part recognition data; a storage process that stores, in a storage unit, images and determination results of the determination process in association with each other; an editing process that edits duplicate data of part recognition data on the basis of an image of a part that was determined to be failed in the determination process; a first test process that determines pass or fail of the part shape, using the edited duplicate data on an image of another part of the same type as a type of the failed part, and tests the edited duplicate data by comparing the determination results; and an update process that, in the case that the edited data passed the test in the first test process, updates the part recognition data, using the edited duplicate data.SELECTED DRAWING: Figure 9

The invention discloses an automatic conversion method and system for power system model data to ETAP software, computer equipment and a storage medium. The method comprises the steps that CIM / E XML and an associated SVG file are analyzed and loaded; extracting element entities of the power system and association relationships thereof; according to a predefined mapping rule base, mapping the CIM / E entity attributes into element parameters corresponding to the ETAP software; the compatibility problem of model difference and missing data is solved; and finally generating a data file which can be directly identified and imported by the ETAP software. According to the method, seamless data connection between a power grid general standard and professional simulation software is realized, and the efficiency and accuracy of simulation modeling of a power system are greatly improved.

The invention provides a fault diagnosis method and system for a numerical control machine tool, and the method comprises the steps: converting a complex relation between system element faults into a visual structure model through the knowledge of graph theory and a matrix tool and ISM; therefore, the fault correlation between the system elements can be determined, and the logic structure of mutual influence and dependence can be found out. And finally, structure and hierarchy analysis of a complex fault relationship is realized. In the work, the ISM-based system fault propagation model can directly and clearly display the fault propagation process and accurately position the fault source. According to the method, the key fault source and the key fault propagation path can be dynamically positioned. By neglecting the fault level deviation caused by component fault time accumulation, the limitation of the existing system is overcome. The model solves the problem of ignoring the time dependence of system component faults, and avoids the deviation caused by taking the component fault accumulation number as the fault level. Using only graph theory or data driven diagnostics may result in significant diagnostic errors. Therefore, the method has certain guiding significance in reducing the maintenance time, improving the system reliability and ensuring the safe operation of the machine tool system.

A mechanism is provided for identifying patterns of computing resource activity of interest in activity data characterizing activity of a computer system element. A temporal graph of the activity data is generated, and a filter is applied to the temporal graph to generate one or more first vector representations, each vector representation characterizing nodes and edges within a moving window defined by the filter. The filter is applied to a pattern graph representing patterns of entities and events, the pattern graph indicating patterns of interest, to generate a second vector representation. The second vector representation is compared to the one or more first vector representations to identify one or more nearby vectors, and one or more corresponding subgraph instances are output as inexact matches of the temporal graph to an intelligence console computing system.

The invention relates to a method and a device (100) for ensuring compliance with partial requirements of system elements (X n ) for the development of a vehicle (10). A hierarchical system element structure (20) based on determined functional relationships (W n ) between system elements (X n ) is generated, which is hierarchically distributed on, N, N ≥ 2, system levels (E n ) and are distributed with sub-requirements for system elements (X i ). It is systematically verified whether the sub-requirement (T {n} , TX n ) of a system element (X n ) a system level (E n ) by the system elements that are in functional interaction (X n-1 ) of the next lower system level (E n+1 ) is fulfilled or not, based on a test comparison with a physical realization of the system elements (X n) and / or the vehicle or by means of a modeled implementation. Optimizations and / or adaptations can be carried out using the hierarchical system element structure (20).

Several embodiments disclosed herein relate to adaptive wake-up operations of elements of a processing system and, in particular, the generation of early wake-up signals prior to interrupt signals in order to perform wake-up operations before triggering interrupt service routines based on the interrupt signals. In one exemplary embodiment, a system comprises a standby-mode control circuit and a first interrupt generation circuit coupled to the standby-mode control circuit. The standby-mode control circuit is configured to receive an indication of a standby mode and determine an early wake-up value based on the standby mode.The first interrupt generation circuit is designed to receive the early wake-up value, determine a first lead time value based on the early wake-up value, generate a first early wake-up signal according to the standby mode based on the first lead time value, and, after generating the first early wake-up signal, generate an interrupt signal.

According to the present invention, the development efficiency of component mounting work is improved by eliminating the need for actual machine confirmation by developing software outside a component mounting device. A component mounting system (1) includes a component mounting device (M1) having a head camera, a communication network (2), a relay device (16), and an inspection server (3). An image of a planned mounting position on a substrate is captured by the head camera (S202) and transmitted to the relay device (16) (S203). The inspection server (3) acquires the image from the relay device (16) (S206), and transmits an inspection result regarding the presence or absence of a falling component or the like to the component mounting device (M1) (S208). The inspection server (3) is not restricted with respect to OS or hardware and the like, and thus development efficiency is good.

The present invention discloses a method, device and medium for constructing an evolutionary model of an autonomous transportation system. The method includes: determining system elements and element attributes according to the architecture of the autonomous transportation system; determining the association relationships of the system elements according to the element attributes; building a multi-layer complex network structure according to the association relationships and inputting a configuration package into the multi-layer complex network structure; establishing an evolutionary model of the complex network of the autonomous transportation system facing the target layer according to the multi-layer complex network structure and in combination with a first preset standard, and determining the attribute of the evolutionary state value of the evolutionary model; determining the initial state value and attribute value of the evolutionary model according to a second preset standard, and driving the evolutionary model to evolve according to the initial state value and attribute value; outputting the evolutionary data of the evolutionary model and performing feature analysis according to the evolutionary data. The beneficial effect of the present invention is that it can scientifically describe and predict the evolutionary characteristics and development laws of the autonomous transportation system, which is beneficial to the sustainable development of the transportation system.

The present disclosure relates generally to a toy system (101) comprising a functional element (103) comprising a tag reader and a functional device (107) adapted to perform a user perceptible function; and a tag element (105) comprising a data exchange interface (106), such as a tag antenna, configured to receive a first signal from a tag reader configured to receive a second signal and responsively transmit the second signal, the functional element (103) and the tag element (105) configured to be selectively assembled with one another, the functional element (103) and the tag element (105) are each configured to be detachably assembled into a plurality of different toy components, and wherein the position and / or orientation of the tag element (105) relative to the functional element (103) is different in each component, and wherein the functional element (103) is configured to detect a position and / or orientation (103) of the tag element (105) relative to the functional element, to determine a behavior based on the detected relative position and / or orientation of the tag element (105) and further based on a second signal received from the tag element (105), and to control its behavior based on the determined behavior.

If a service interruption occurs, the present invention appropriately reduces system elements that can be the cause of the service interruption. An operation management device (1) includes: a storage unit (11) for storing a plurality of pieces of communication definition information (111) in which system elements of a communication source and system elements of a communication destination are associated with each other, and a plurality of pieces of service definition information (112) defining services as combinations of some of the plurality of pieces of communication definition information (111); a reception unit (12) for receiving a selection of one or more pieces from among the plurality of pieces of service definition information (112); a first confirmation unit (13) for confirming, as confirmed communication definition information, communication definition information (111) included in the selected piece of service definition information (112) from among the plurality of pieces of service definition information (112); a second confirmation unit (14) for confirming, as a confirmed system element, a system element of a communication destination defined in the confirmed communication definition information; and a generation unit (15) for generating output information including the confirmed system element.