270 results about "Logical layer" patented technology

The invention provides an intelligent mechanical safety protection system based on industrial Internet of Things equipment, which comprises a dynamic topology modeling module, a risk propagation analysis module, a dynamic protection generation module and a collaborative triggering execution module, the composite topological graph comprises a physical layer and a logic layer; the risk propagation analysis module is used for analyzing a propagation path of the risk along a physical connection edge and a logic dependence edge based on the composite topological graph, and generating a risk propagation full-link sub-graph; the dynamic protection generation module is used for calculating a minimum necessary protection set based on the risk propagation path and generating a hierarchical response strategy; and the cooperative triggering execution module is used for sending a cooperative control instruction to the equipment in the minimum necessary protection set based on the hierarchical response strategy. By adopting the system, a risk propagation path under a complex scene can be automatically identified, and the safety protection level of equipment is improved.

The invention discloses a smart home early warning method and system based on dual authentication, and relates to the technical field of smart home. Four-element data of an early warning event is collected through an edge computing gateway, the four-element data is coded and packaged into a data packet, and the data packet is transmitted to a cache region of the edge computing gateway for further processing; according to the smart home early warning system based on dual authentication, through an equipment identity dual authentication mechanism, the security of equipment access is doubly guaranteed from a physical layer and a logic layer, intrusion of unknown equipment is effectively prevented, the risk of data leakage is reduced, in the aspect of data storage, an on-chain and off-chain collaborative storage mode is adopted, and the security of equipment access is improved. The authenticity and integrity of event key information are ensured by using the non-tampering characteristic of the block chain on the chain, and the security of original data is protected through distributed storage and encryption under the chain, so that the privacy and security of user data are protected comprehensively, and the security of the data of the smart home system is ensured.

The invention discloses a power distribution topology dynamic reconstruction risk assessment method, system and device and a medium, and relates to the technical field of data processing. The method comprises the following steps: acquiring real-time state data of an intelligent component to construct an initial topological structure, and identifying a changed target node by sending a detection signal; and then carrying out dynamic reconstruction on the topological structure in the three logic layers. And performing electrical characteristic verification on the reconstructed topological structure. And after the electrical characteristic verification is passed, determining a connection relationship of upstream and downstream power distribution cabinets and a component association link based on the target node, and calculating a risk level in combination with historical operation parameters. And formulating a temporary coping strategy according to the risk level, and generating a risk assessment report containing the topological influence range, the risk level and the coping strategy. Real-time monitoring and risk early warning of topological change of the power distribution system are realized in the whole process. By implementing the technical scheme provided by the invention, the risk assessment accuracy of the dynamic reconstruction of the power distribution topology can be improved.

The invention relates to the technical field of FPGA architecture, in particular to an SM4 hardware acceleration and anti-side-channel protection method and system of a domestic FPGA, which comprises the following steps of: performing data type identification operation on bright-ciphertext batch data by utilizing an acceleration block to obtain a data type, and according to a pre-constructed parallelization strategy and the data type, performing data type identification operation on the SM4 hardware acceleration and anti-side-channel protection on the SM4 hardware acceleration and anti-side-channel protection on the SM4 hardware acceleration and anti-side-channel protection system; performing dynamic resource configuration on the plaintext-ciphertext batch data to obtain resource configuration information, and performing configuration according to the resource configuration information, the key-mode parameter and the dynamic control instruction to obtain a configured SM4 algorithm; according to the configured SM4 algorithm, performing encryption processing on the plaintext-ciphertext batch data to obtain to-be-protected encrypted data; and performing protection operation based on physical layer leakage suppression, logic layer confusion association and system layer dynamic response on key-mode parameters, dynamic control instructions, plaintext-ciphertext batch data and encryption processing by using the protection block, and converting to-be-protected encrypted data into protected encrypted data. According to the invention, the encryption processing performance and security can be improved.

The invention relates to the technical field of PLC control, in particular to a B / S architecture-based digital twin virtual debugging system and method for a transmission line. The system comprises a three-layer B / S (Browser / Server) architecture consisting of a PLC (Programmable Logic Controller) simulation layer, a business logic layer and a three-dimensional visualization layer, the PLC simulation layer is used for operating a PLC program to obtain a feedback signal of the controlled equipment, simulating the control logic of the PLC to the controlled equipment based on the feedback signal, and sending a control signal to the service logic layer; the business logic layer is used for acquiring the control signal and carrying out business logic operation based on the control signal and the feedback signal so as to calculate and simulate the movement of the controlled equipment and obtain real-time position data; and the three-dimensional visualization layer is used for displaying the operation state of the controlled equipment based on a pre-constructed virtual model of the controlled equipment and the real-time position data so as to display the operation result of the PLC program, generating a feedback signal based on a virtual sensor on the virtual model of the controlled equipment, and sending the feedback signal to the business logic layer.

The invention belongs to the technical field of automatic testing, and particularly relates to a web automatic testing method and system.The method comprises the steps of automatic script recording and dynamic adaptation, layered framework collaborative testing and data verification and continuous integration testing and test report generation. Wherein automatic script recording is dynamically adapted: recording a page operation script through a playwright tool and applying the page operation script to a UI layer, and when the page UI changes, recording the script again and replacing the original script without element-by-element positioning and code modification; in the hierarchical framework collaborative testing and data verification, a data access layer inputs test data, a UI layer executes page operation and captures display data, and a business logic layer calls an API interface to obtain real data and compares the real data with the display data for verification. According to the method, a web automatic test framework is constructed in combination with the advantages of playwright, a structured engineering project is more suitable for project operation and maintenance, and a sustainable integrated test environment is constructed by utilizing jenkins, so that test input, execution and output are automated.

The invention relates to the technical field of Internet of Things, in particular to an Internet of Things equipment collaborative management system based on an intelligent edge, which is composed of an equipment abstraction layer, a converged communication layer, a service logic layer and a firmware upgrading layer, the equipment abstraction layer realizes standardized access and full life cycle management of equipment through modeling, interface abstraction and resource pool management; the converged communication layer comprises protocol adaptation, intelligent routing and QoS guarantee to ensure smooth multi-protocol communication; the business logic layer adopts a micro-service architecture, and flexible business processing is realized through flow arrangement, intelligent decision making and event driving; the firmware upgrading layer comprises state perception, intelligent analysis, intelligent execution and firmware management so as to adaptively select an optimal upgrading strategy according to network state prediction and evaluation. According to the invention, modules at all levels cooperate, intelligent and collaborative management of Internet of Things equipment is realized, and the equipment management efficiency and the operation stability are improved.

An approach for recommending an application of a software code update. The approach receives components of an executable program. The approach scans the components to divide the executable program into units. The approach creates a logical layer of entry lists, based on the units, for instantiations of the executable program. The approach loads the instantiations of the executable program based on the logical layers. The approach monitors the execution of the instantiations to increment counters based on executions of the units. The approach creates a heatmap of the executions based on the counters. The approach generates a recommendation to update the executable based on the heatmap.

The invention discloses a new energy automobile rental order-charging collaborative energy consumption optimization system and method, and aims to solve the problems of high operation cost, poor user experience and difficult power grid adaptation in the new energy automobile rental industry. The system adopts a layered architecture of a hardware layer, a data layer, a business logic layer and an application layer, the hardware layer collects data of vehicles, charging piles and the like, the business logic layer realizes collaborative management and control through order management, charging scheduling, energy consumption prediction and a strategy optimization module, and the application layer serves enterprises, users and a power grid. According to the method, through data acquisition, order processing, energy consumption prediction, charging plan optimization and dynamic adjustment, peak-valley charging cost reduction, efficient charging pile utilization and power grid load balance are realized. According to the scheme, the enterprise operation cost can be reduced, the user satisfaction degree is improved, the power grid stability is guaranteed, the industry intelligent development is promoted, and remarkable economic and social benefits are achieved.

The invention discloses a model-based electronic information product interface definition and mapping method and device, and the method comprises the steps: defining a logic layer interface model of a single machine according to the logic function of an interface, decomposing and refining a black box function logic interface of a subsystem and a flow item borne by the black box function logic interface, and capturing all external interfaces of the concerned single machine; defining a physical layer interface model of the single machine, describing physical node information in the interface, and replacing the type of the external interface of the single machine from the logic layer interface model to the corresponding physical layer interface model; defining an equipment layer interface of the single machine, and generating single machine external electrical connector node information based on a mapping relation between the physical layer interface and the equipment layer interface; obtaining a user-defined interface information table, and generating an interface data list containing single-machine external connectors and connector node information based on the incidence relation of the model information; and analyzing a structured text which is exported by the SysML model and contains detailed information of a single-machine interface through a schematic diagram design tool, and automatically creating a schematic diagram design model of a corresponding interface connector.

The invention belongs to the field of industrial control safety, provides a PLC (programmable logic controller) memory behavior analysis-based control system configuration logic anomaly detection method, and solves the problems of logic attack detection blind areas, incomplete detection coverage, process semantic deficiency and the like caused by hidden attacks (modifying PLC control logic through a legal programming interface). The method comprises the following steps: S1, collecting a PLC register with a timestamp and a coil state sequence; s2, identifying a key memory address, constructing an address cluster set, and supporting event completion and process mining; s3, generating an XES standard event log by adopting a clustering and symbol back-pushing method; s4, improving a Heuristics Miner algorithm, automatically identifying a starting point and an end point of a control flow, and constructing a dependency graph with an identifier; s5, converting the control logic into a formalized model, and defining a legal state transition sequence; and S6, monitoring a real-time event stream on line, mapping the real-time event stream to the model and dynamically playing back the real-time event stream, and realizing anomaly detection by combining track alignment and comparison. The method is complete in coverage, clear in semantics, capable of tracing attack paths and capable of improving the defense capability of a logic layer.

The invention discloses a fully mechanized coal mining face multi-protocol equipment simulation linkage control system and a working method. The control system comprises a presentation layer, a business logic layer and a data layer. The working method comprises the following steps: S1, selecting equipment needing to be simulated and issuing the equipment to the business logic layer; s2, an equipment simulation module obtains point location information of the selected equipment, and a linkage rule read-write module obtains equipment linkage control rule information; s3, the device simulation module calls a point location read-write module of a corresponding protocol according to the read device point location information, and point location change monitoring during device operation is achieved; s4, the rule simulation module completes point location read-write module calling across the devices according to the analyzed rules, and therefore linkage simulation between the devices is achieved; s5, the point location read-write module receives the calling command, scans the read point location and feeds back a scanning result to the business logic layer; and S6, the service logic layer transmits a feedback result to a simulation monitoring module for simulation effect display.

The invention discloses an Alliance tool chain logic synthesis method based on multiple logic domains. The method comprises the following steps that an intermediate representation structure of a target circuit is obtained; mapping a Boolean expression in the intermediate representation structure into an XMG network equivalent to the logic function of the target circuit; logic optimization with the optimization logic hierarchy as the target is executed on the XMG network obtained through mapping; converting the XMG network after logic hierarchy optimization into an AIG network; logic optimization with optimization of the number of nodes as a target is executed on the AIG network obtained through conversion, and the optimized AIG network is output as an aig file; and reading the aig file, analyzing the aig file, outputting the analyzed aig file as a VHDL file, inputting the VHDL file to the Alliance tool chain, and generating a gate-level netlist corresponding to the optimized target circuit. According to the method, the logic optimization efficiency and expandability can be greatly improved, the performance bottleneck of an existing Alliance tool chain is effectively solved, and the large-scale circuit design processing capacity of the Alliance tool chain is remarkably improved.

The invention relates to the technical field of data processing, in particular to a development system framework and method based on a low-code platform. The development framework comprises a presentation layer used for generating a user interface and obtaining data input by a user in the user interface; the business logic layer is used for managing a dependency relationship between business logic components and processing the data sent by the presentation layer through the business logic components to obtain a processing result; and the persistent layer is used for generating and executing SQL statements so as to persist the processing result into the database or obtain data from the database and feed back the data to the presentation layer. By using the development system framework, the coding quantity can be reduced, and the development efficiency can be improved.

A CNN dynamic test case automatic generation method based on meta-learning guidance comprises the following steps: constructing a hybrid test architecture which decouples the whole system into two logic levels: a static knowledge base and a dynamic exploration engine; according to the static knowledge base, a global'vulnerability map 'is constructed by performing one-time and comprehensive offline static analysis on a tested network DUT, the dynamic exploration engine is composed of a guide network and a generative network, the engine performs coevolution under the guidance of the'vulnerability map', and the dynamic exploration engine performs dynamic exploration on the DUT. The task of the method is to carry out efficient targeted exploration with a clear target and scene synthesis in a fragile area marked on a map. According to the method, data dependence is broken through, unknown risks are explored, and seamless integration with an agile development (MLOps) process is achieved.

Systems, apparatus, and methods for access resolution based on situational awareness. The system adapts to the behaviors of users and provide more secure, more natural operation. Unlike existing solutions that are focused on a single factor / multi-factor authentication and binary outcomes (grant / deny), the exemplary “physical access resolution” system assesses the entire access event (not just identity) and may responsively launch multiple resolutions at points throughout the access event (not just a binary decision). Various entities employ layers of abstraction and integration between logical layers to allow for integration across nodes. Information collection may be staged and handled with varying levels of privacy protections. Access resolution may be implemented according to multi-modal and / or confidence-based metrics.

The invention discloses a cross-industry big data sharing method and system, and mainly relates to the technical field of data sharing. According to the cross-industry big data sharing method disclosed by the invention, cross-industry data sharing is realized through a dynamic collaboration mechanism of four logic levels: (1) in a data acquisition stage, differential dynamic data is captured through a streaming fragmentation technology driven by industry characteristics; (2) constructing an intelligent sensing four-state nested structure in a code generation stage; (3) constructing an industry knowledge graph dynamic inference engine; and (4) executing environment-adaptive multi-element response in a distribution stage. According to the invention, by constructing a cooperation mechanism of a dynamic four-state coding system and an industry knowledge graph, the real-time limitation of static coding is broken through, and dynamic sharing, multi-level security verification and intelligent risk pre-judgment of multi-format data are realized.

The invention discloses a user dynamic access control method and system based on multi-dimensional data, and belongs to the technical field of software. The invention aims to solve the problems of user access control policy jitter, security vulnerability and difficulty in explaining compliance caused by static threshold, module independent decision and non-explicit modeling user experience cost and compliance risk cost in the prior art. Therefore, the invention provides a dynamic access control method, which comprises the following steps of: constructing a session-level multi-dimensional access context; dividing risk signal detection according to a visual angle; carrying out risk evidence combination and mode recognition; performing risk trajectory and strategy hysteresis control based on a state machine; unifying action arrangement and conflict resolution of the strategy center; strategy execution and session consistency control are carried out; and effect evaluation and strategy evolution based on multi-dimensional indexes are carried out. Compared with the prior art, multi-view evidence combination, session-level trajectory analysis, state machine and constraint solution and other means are introduced, multi-layer integration from a data layer, a logic layer, a time layer to a control layer is achieved, strategy jitter is effectively relieved, user experience is improved, service continuity is guaranteed, and compliance interpretability is enhanced.

The invention discloses an unmanned aerial vehicle chip sensitive data access control method based on a trusted execution environment, and relates to the technical field of unmanned aerial vehicle security. If data encryption is carried out, real-time confusion processing is carried out on power consumption, electromagnetic signals and execution time of the unmanned aerial vehicle chip; the trusted execution environment isolates a processing space of sensitive data from a logic level to prevent unauthorized access; the real-time confusion processing performs dynamic interference aiming at the core physical characteristics of the side channel attack, so that an attacker cannot derive an encryption key or algorithm logic through a physical signal of a monitoring chip; according to the method, the chip presents highly unpredictable physical characteristics in the encryption process through the synergistic effect of the power consumption, the electromagnetic signal and the execution time, the side channel attack difficulty is remarkably improved, and multi-level guarantee is provided for safe processing of sensitive data of the unmanned aerial vehicle.

The invention discloses a flash memory and near memory acceleration system of an end-side large language model, and belongs to the technical field of calculation, reckoning or counting. According to the system, a 3D NAND flash memory chip with near memory computing capability is adopted, and model weights and key value caches are uniformly stored in the flash memory. Storage-intensive operations involved in the big language model inference decoding stage are all completed in a logic layer of a flash memory, and an NPU only executes non-linear operations such as normalization and activation and residual connection; in the pre-filling stage, the NPU obtains weight and key value cache data from the flash memory and is used for completing all calculations. Redundant read-write is reduced through a flash memory page-level key value cache mapping mechanism; and meanwhile, attention head group parallel data stream optimization is provided, so that the parallelism of a decoding stage is improved. A discrete framework and a compact framework are further provided, and optimal configuration is automatically selected in combination with a design space exploration strategy. According to the method, the requirement of edge end large language model reasoning on the DRAM can be omitted, delay is reduced, throughput is improved, and system cost and power consumption are remarkably reduced.

The invention belongs to the technical field of data security, and particularly relates to a community data sharing and exchanging security control method based on a block chain, which realizes fine-grained and dynamic access control by performing refined permission division on user characteristics and data attributes and constructing a verifiable attribute permission mapping relationship in an intelligent contract. The slave logic layer prevents unauthorized access vulnerabilities; a mode of combining a fully homomorphic encryption algorithm and a lightweight homomorphic encryption algorithm is adopted, direct operation of data in an encryption state is realized, a permission verification mechanism without data content leakage is constructed in combination with zero-knowledge proof, and dual protection of'calculation without decryption and verification without leakage 'is formed. According to the method, the data leakage risk caused by smart contract code vulnerabilities is fundamentally immunized, an extensive permission allocation mode is broken through by an attribute-based permission management method, refined permission division can be performed according to actual attributes of users and data, permission abuse and unauthorized access are effectively avoided, and the normalization and security of data access are greatly improved.

The invention discloses a multi-strategy fusion file data desensitization management and control system, and relates to the technical field of information security and data processing, a system architecture adopts a hierarchical design and comprises a presentation layer, a business logic layer and a data access layer, the interface design of the presentation layer is simple, and a user can easily operate the presentation layer; the business logic layer is responsible for processing various rules and ensuring that data can be correctly processed; the data access layer is responsible for interacting with a database to realize secure storage and quick reading of data, and the architecture design ensures the expandability and maintainability of the data desensitization file security management system; system functions are realized in two ways: a common user can perform desensitization operation on sensitive data and download a file; an administrator can modify configuration and manage the desensitization rule besides the functions of a common user; the system can effectively protect sensitive data and reduce the risk of data leakage, and has high practical value.

A computing core particle, a computing chip, and a computing system are provided. Provided is a computing core particle, characterized in that the computing core particle comprises: a storage module, the storage module comprising a plurality of storage layers; the logic module comprises one or more logic layers, each logic layer in the one or more logic layers comprises a control core and a plurality of computing cores, and the control core of each logic layer is connected with the plurality of computing cores of the same logic layer; each computing core of each logic layer is connected with the adjacent computing core; wherein the plurality of storage layers and the one or more logic layers are vertically stacked, and each of the plurality of computing cores of each logic layer is connected to one or more storage layers of the plurality of storage layers.

The application discloses a work order list self-defined view management system and method for nuclear power plant group reactor group. The system comprises a front-end interaction layer, a business logic layer, a data access layer and a plant group reactor group adaptation layer. The front-end interaction layer is used for realizing the interaction between a user and the system, and comprises a view configuration panel, a list display module and a permission verification component. The business logic layer comprises a view self-defined engine and a configuration persistence module. The data access layer comprises a view configuration library and a work order business library. The view configuration library is used for storing view configuration information and associating user and organizational structure information. The work order business library is used for storing nuclear power work order full-field data. The plant group reactor group adaptation layer is used for adapting the nuclear power plant group reactor group management mode, and comprises a reactor type identification component, a unit attribution component, a power plant isolation component and a user permission identification component. The application solves the problems of field redundancy and repeated configuration, realizes fine data isolation and permission control and realizes fine management.

The application relates to a key node identification method, device, equipment and medium of an electric power coupling network. A power station and a power-on relay in an electric power system are taken as an application node and a transition node of a physical layer network respectively, a logical node is constructed by the application node, a logical layer network of a structure of an undirected and weightless graph representing communication capability is built, the electric power system is modeled into a physical-logical coupling network, a logical edge centrality score in the logical layer network is calculated by using a hybrid centrality measurement, a logical edge criticality list is arranged in descending order according to the scores, a target logical edge is selected according to the sequence, corresponding transition nodes in the physical layer network are determined, a plurality of shortest paths between the two are calculated, path nodes are taken as candidate nodes to be removed, the candidate nodes and corresponding logical edges are removed, a change of a maximum connected component of the logical layer network is taken as a damage rate, and when the damage rate reaches a preset value, the removed nodes are key nodes. The method can effectively and quickly identify key nodes of an electric power network.

The invention relates to the technical field of data acquisition, in particular to a data acquisition method and system with a reusable differential signal interface. The device comprises a bottom plate and a data acquisition card used for acquiring analog signals, uniform interfaces are adopted and comprise a plurality of differential signal pairs used for transmitting commands, a plurality of differential signal pairs used for transmitting data and a plurality of differential signal pairs used for transmitting clocks. According to the reusable differential signal interface disclosed by the invention, the signal integrity and reliability of long-distance transmission of signals on a bottom plate are improved through differential signals, a system can stably work in a severe electromagnetic environment, and the reusable interface can be in mixed plug-in connection with different data acquisition cards of voltage, current, strain, temperature and the like according to requirements. According to the method, step-by-step power-on is adopted, identity recognition and software configuration are only performed on a digital logic level after insertion, and simulation power supply is performed after recognition is passed, so that chain risks such as power supply impact, bus locking and even system downtime caused by insertion faults or incompatible modules are eliminated.

The invention relates to the technical field of electronics, and discloses a dead time setting circuit, a PCB and a chip, and the dead time setting circuit comprises a high-side input unit, a low-side input unit and a shaping unit; the high-side input unit, the low-side input unit and the shaping unit are electrically connected with one another; the high-side input unit and the low-side input unit carry out delay and logic operation processing on input signals, the input signals can be integrated and optimized in the logic level while dead zone time is set, and a foundation is laid for generating stable pre-drive signals; and then, the shaping unit shapes the pre-drive signal obtained after processing of the two units, so that the instantaneous error level in the pre-drive signal can be effectively eliminated, a stable drive signal is output, and the stability of the drive signal is ensured.

The invention is applicable to the technical field of multimedia Internet of Things, and provides an Internet of Things-based cross-scene equipment resource management and control method, which comprises the following steps of: managing and scheduling equipment resources of different scenes by constructing a distributed network service framework; based on the distributed network service framework, enabling different equipment resources to communicate and control on a physical level and a logic level through a unified control center; based on the unified control center and the distributed network service framework, carrying out information synchronization and content distribution on equipment resources in different scenes through a multicast technology; based on different scene characteristics, a visual interface is established for real-time interaction of different scenes, and cross-scene equipment resources can be efficiently managed and controlled.

This application discloses a method and device for mapping southbound configuration to northbound services in an ODL controller cluster, to solve the technical problem of difficulty in troubleshooting configuration and traffic during service deployment and maintenance. The method includes: obtaining the configuration command generated after the southbound configuration is issued in a virtual machine; storing the configuration command in a configuration database and generating a key-value string corresponding to the configuration command; progressively passing the configuration string upwards through RPC in the Yang model until it reaches the logical layer of the northbound RESTful API interface; after obtaining the configuration key-value string at the logical layer of the northbound RESTful API interface, searching the configuration database using the configuration string to obtain the southbound configuration, thereby achieving the mapping between the southbound configuration and the northbound RESTful API interface.

The embodiment of the invention provides a digital twinning method and device for a satellite optical system, and the method comprises the steps that a telemetering instruction is received by an interface layer in the satellite optical system, a virtual electric control box is a core logic layer in the satellite optical system, and a virtual camera is a unit model layer in the satellite optical system. The interface layer and the core logic layer receive the telemetering instruction and respond to the telemetering instruction with the unit model layer, so that a simulation result responding to the telemetering instruction in the satellite optical system is obtained. By adopting the layered architecture, the interface layer focuses on data interaction, the core logic layer is responsible for instruction processing and logic operation, and the unit model layer focuses on imaging simulation, so that the stability and reliability of the system are enhanced, and a stable and reliable virtual platform support is provided for testing and verification of the satellite optical system.