31 results about "System element" patented technology

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.

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.

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.

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).

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.

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.

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.

This invention provides a method and system for predicting takeover time in autonomous driving based on a three-factor assessment and gating selection of physical-driver-system elements, relating to the field of autonomous driving system technology. The method includes: collecting synchronous time-series data of the physical-driver-system elements within a historical time window; extracting features from the collected synchronous time-series data using expert modules; globally encoding the extracted features and performing gating decisions; activating the takeover timing prediction path corresponding to the feature vector with the largest weight value based on the output gating decision signal, and outputting the final takeover time. This invention constructs three independent expert modules to conduct in-depth analysis of physical interaction risks, driver readiness, and system reliability, and introduces a gating selection mechanism to explicitly determine the most urgent limiting factor, directly using its corresponding time estimate as the final output, thus achieving accurate, safe, and interpretable takeover time prediction.

Reduce the amount of work required to analyze cyber-attack methods. [Solution] An attack method analysis support device having a processor and memory, wherein the memory stores a protected asset, which is either a function of a system element constituting an information processing system, data processed by the function of the system element, or a function of software constituting the system element and data processed by the function of the software, in association with an attack method of a cyber attack against the protected asset, and the processor identifies the protected asset to be analyzed based on information received from a user via an input device, calculates the similarity between the protected asset to be analyzed and the protected asset stored in the memory, identifies an attack method against the protected asset to be analyzed from the attack methods associated with the protected assets stored in the memory based on the similarity, and outputs the identified attack method against the protected asset to be analyzed to an output device.

The application discloses a risk feature extraction method for a main microgrid, and comprises the following steps: firstly, constructing a new energy output probability model and a system element operation model, and generating multiple system operation scenarios by using a sequential Monte Carlo method; then, determining an active power and reactive power dispatching optimization model, wherein the active power optimization takes the minimum system operation cost as an objective function, and the reactive power optimization takes the minimum system operation network loss as an objective function; subsequently, determining decision variables and constraint conditions of the dispatching evaluation model, and solving system state physical quantities by power flow calculation; then, constructing a risk criterion, determining a risk state data set of each scenario, inputting a random forest algorithm model to quantitatively analyze the risk importance of system features. Finally, determining a risk quantification evaluation method, and constructing a multi-level risk index system according to system risk features. The application can identify key influencing factors under a risk scenario.

A system for providing an enterprise digital mock-up (EDMU) includes one or more first system elements that perform identifying one or more relevant computer aided design (CAD) features of a CAD digital mock-up (DMU), accessing one or more CAD DMUs that are in a first data format and that have at least a portion of the relevant CAD features, and generating, according to the one or more CAD DMUs, an EDMU model in a second data format. The EDMU model in the second data format has a smaller data footprint than the CAD DMUs and omits at least a portion of data of the one or more CAD DMUs. The system further has one or more second system elements that access the EDMU model, display a representation of at least a portion the EDMU model to a user, and display EDMU metadata to the user.

The application relates to the technical field of product management, in particular to a one-package-to-end method, device and equipment based on a main project and a storage medium. The method comprises the following steps: adopting a dev branch to maintain a to-be-tested installation package, and performing development local verification; if the development local verification is passed, ST testing is performed; it is judged whether system elements meet code construction conditions; if yes, code on an ST environment is constructed; a pre-release installation package is determined in combination with the system elements and the code on the ST environment; a release branch is adopted to maintain the pre-release installation package, and function verification is performed; if the function verification is passed, UAT testing is performed; it is judged whether the code meets the code construction conditions; if yes, code on a UAT environment is constructed; a final installation package is obtained in combination with the system elements and the code on the UAT environment; and the master branch is adopted to maintain the final installation package. The application matches the code with the environment configuration for management, realizes quick system pulling up during deployment of the environment, and achieves the beneficial effect of quick recovery of the deployment system.

The application discloses a processing method and device of a system element, a program product and an electronic device, relates to the technical field of artificial intelligence, and the method comprises the following steps: performing semantic coding on standard words in a standard dictionary to obtain standard vectors, and constructing a standard vector knowledge base based on the standard vectors and standard word information corresponding to each standard word; performing semantic coding on original elements in an information system; inputting the original vectors obtained through coding into the standard vector knowledge base for semantic matching; performing compliance verification on the original elements based on M similar standard words obtained through matching, wherein the compliance verification comprises at least one of name semantic sub-verification, description text semantic sub-verification, enumerated value semantic sub-verification and enumerated value sequence sub-verification; in the case that the original elements are not compliant, generating a rectification scheme of the original elements based on the compliance verification result, and processing the original elements based on the rectification scheme. The application solves the technical problem of non-standard element setting in an enterprise information system.

This application relates to a method, system, equipment, and medium for optimizing the operation mode of a power automation system. The method collects real-time operating data of the power system and health characteristic data of aging equipment to obtain a comprehensive dataset. Based on the comprehensive dataset, it calculates the health factors of each aging device and corrects the basic model parameters of system components, constructing a state-space model reflecting the aging characteristics of the equipment. On this basis, it constructs a multi-objective optimization problem with economic efficiency, reliability, and environmental protection as optimization objectives. Control variables are encoded to generate an initial population, and a non-dominated sorting genetic algorithm is used for iterative evolution to obtain a Pareto optimal solution set. Based on the Pareto optimal solution set, a multi-attribute decision-making method is used to select the comprehensive optimal operating mode, and after safety verification, it is executed. This achieves the optimal operating scheme that considers the impact of equipment aging through multi-objective optimization and decision-making screening, taking into account multiple dimensions of indicators, thereby improving the operational efficiency and scientific decision-making of the power automation system under aging scenarios.

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 invention discloses an anti-dislocation wireless power transmission method and system with generalized space time symmetry, and the method comprises the steps: firstly calculating a critical coupling coefficient of a wireless power transmission system, and determining a maximum design value of the radius of a transmitting coil according to the minimum transmission power demand in an application scene; and then establishing a mapping relation between the dislocation parameter and the critical coupling coefficient, and determining a robust working range corresponding to the radius of each transmitting coil according to the mapping relation. And finally, integrating the data and weighing the transmission power and the space robustness according to the data so as to complete the selection of the radius of the transmitting coil, and further determining system element parameters and constructing a complete wireless power transmission system. The system designed according to the method does not need a complex active control circuit, can stably work in a PT symmetric phase within a predetermined dislocation range, and realizes efficient and robust wireless power transmission insensitive to spatial dislocation.

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 invention discloses a fabricated intelligent building management method and system based on a BIM model, and belongs to the technical field of intelligent building management, and the method comprises the following steps: S1, constructing a digital passport; s2, intelligent design collaboration; s3, self-adaptive production regulation and control; s4, dynamic construction management; s5, AI block chain collaboration is carried out; s6, performing self-learning operation maintenance; according to the invention, intelligentization and refinement of fabricated building are realized, a BIM-based fabricated building intelligent construction management system is constructed, effectiveness of the management system is evaluated, control key points of different control levels of the fabricated building intelligent construction management system are determined, and fabricated building system environment and system elements are determined. According to the BIM technology, a synergistic effect mechanism among subsystems is mined, each characteristic index in the system is determined, an intelligent management system is determined through quantitative and qualitative combined analysis, importance analysis is carried out on effectiveness influence factors, and information islands and repeated work in traditional design are avoided by realizing sharing and cooperative work of design information through the BIM technology.

The application provides a multi-source water system data fusion method and device and a storage medium. The method comprises the following steps: extracting water system information in open source map data to determine a basic water system data set; when there is missing water system data, supplementing the basic water system data set with multi-source water system data to determine a candidate water system data set; using a ubiquitous multi-source water system attribute information extraction technology to obtain a water system attribute data set; performing data standardization processing to obtain a standardized water system data set and a standardized water system attribute data set, and constructing a water system element field structure table for the candidate water system data set; and fusing the standardized water system data set and the standardized water system attribute data set based on the water system element field structure table to obtain a target fusion water system data set. The technical scheme can effectively solve the problems of single data source defects and simple superposition conflicts in the prior art, and realizes automatic construction of a high-precision, attribute-complete and topologically coherent water system data set.

The application provides a pump distribution method, device and electronic equipment, which is applied to a multi-pump system. After a first action signal indicating that a target executor performs a target action is received, at least one target pump is taken out from a pump pool in response to the first action signal, and the at least one target pump is distributed to the target executor. The dynamic distribution of the pump is realized without table lookup, the complexity of the algorithm for the distribution of the pump in the multi-pump system is reduced, unnecessary switching of the pump is avoided in the case of continuously receiving the first action signal, the action coordination is improved, the system impact is reduced, and the service life of system elements is prolonged.

Picture frame system (1) characterized in that it consists of an outer system element (40) and an inner system element (41) which are formed from the system elements (2, 3, 4 and 5) and the material connections (6, 7, 8, and 9) and that by sliding the two system elements (40 and 41) into one another a voluminous and stable structure in the form of a pointed oval is created.

The invention discloses a multi-level system element automatic mapping method, which comprises the following steps of: setting a fitness function by calculating total task execution cost and total task execution efficiency, optimizing a system element mapping relation by using a real-value particle swarm optimization algorithm, and introducing a Pareto optimal theory to select an optimal solution so as to realize comprehensive consideration of multiple factors. According to the method, solving of a multi-objective optimization problem is effectively achieved, system units are reasonably distributed for system tasks, automatic mapping of system elements is achieved, system design requirements are met, and the method has important application value.

The invention belongs to the technical field of digital system design and verification, and relates to a Python-based non-causal system simulation method, system and terminal. The method comprises the following steps: constructing a built-in data object library required by system simulation based on a Python native data type, and further constructing a system element model library and an initial simulation model of a to-be-simulated system; using a Python interpreter to complete instantiation of the system simulation model so as to naturally obtain a constraint relationship between system simulation model data during execution of py file interpretation, and obtaining a complete equation system, namely a non-causal model; and finally, performing aggregation analysis, equivalent simplification and solution sorting on the complete equation system to obtain an equation solution sequence, generating a code of the equation solution sequence, and calling or interpreting the execution code based on a solver framework of the complete equation system to obtain a system simulation program. The method does not need to depend on a special system simulation modeling language and a compiler thereof, so that the method has the advantages of light weight, low cost and the like, and can be seamlessly integrated with a current mainstream AI framework.

The application discloses a kind of delivery and distribution system planning auxiliary system, comprising: management and control center and database, data acquisition module, existing power grid analysis module, load prediction module, power grid planning module and evaluation module are connected with communication in management and control center, database is used to store the data generated by each module, wherein data acquisition module obtains historical power grid distribution map, original data and the basic information of power grid equipment by document scanner, existing power grid analysis module and load prediction module are based on the data collected by data acquisition module to analyze existing power grid and predict future annual load, power grid planning module is based on the analysis result of existing power grid and future annual load to optimize existing power grid planning scheme, and the reliability of new power grid planning scheme is calculated by power flow calculation method in evaluation module.The grid system of the application can be stable calculation and fault analysis, and does not involve the dynamic characteristics and transition process of system elements, improves the reliability of power grid planning.

Embodiments of a software defined automation system that provides a reference architecture for designing, managing and maintaining a highly available, scalable and flexible automation system. In some embodiments, an SDA system can include a localized subsystem including a system controller node and multiple compute nodes. The multiple compute nodes can be communicatively coupled to the system controller node via a first communication network. The system controller node can manage the multiple compute nodes and virtualization of a control system on a compute node via the first communication network. The virtualized control system includes virtualized control system elements connected to a virtual network that is connected to a second communication network to enable the virtualized control system elements to control a physical control system element via the second communication network connected to the virtual network.

An embodiment constructs a model of an IT system with multiple elements. Using the model, the embodiment generates threat data representing a potential threat to the IT system. The embodiment allocates value to each of the system elements. The embodiment models harm of the potential threat to the system elements based on the threat data. A neural network generates a quantified risk based on the modeled harm and the allocated value.

The invention discloses an automatic construction method and device for a numerical control machining tool system, equipment and a medium, and relates to the field of numerical control machining.The method comprises the steps that data in the numerical control machining process are obtained in real time; determining a cutter figure number, a cutter sleeve figure number and a clamping length based on the data; retrieving and acquiring corresponding geometric parameter information from a preset tool system file based on the tool figure number and the tool sleeve figure number; respectively establishing a tool geometric model and a tool pouch geometric model based on the geometric parameter information; and adjusting the clamping position of the tool geometric model relative to the tool sleeve geometric model, and assembling the tool geometric model and the tool sleeve geometric model to form a tool system assembly, so that the virtual clamping length of the tool system assembly is consistent with the clamping length. The method aims at solving the problem that in the existing numerical control machining process, due to the fact that errors exist in manual clamping tool system elements, the actual tool system state is inconsistent with the offline simulation state, and then collision accidents are caused.

The present invention reduces the man-hours required to analyze cyber attack methods. This attack method analysis assistance device comprises a processor and a memory, and is characterized in that: the memory stores protected assets and attack methods of cyber attacks on the protected assets in association with each other, the protected assets being any of functions of system elements that constitute an information processing system, data that are processed by the functions of system elements, functions of software that constitute the system elements, or data that are processed by the software functions; and the processor identifies, on the basis of information received from a user via an input device, a protected asset subject to analysis, finds similarities between the protected asset subject to analysis and the protected assets stored in the memory, identifies, on the basis of the similarities, an attack method on the protected asset subject to analysis from the attack methods associated with the protected assets stored in the memory, and causes an output device to output the identified attack method on the protected asset subject to analysis.

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.