150 results about "Logical layer" patented technology

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.

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.

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 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 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.

The invention provides an intelligent contract distributed computing method based on a virtual block chain node, which comprises the following steps: S1, a central coordination node and a plurality of cooperative terminal nodes are dynamically combined on a logic level to form a virtual block chain node, and the central coordination node performs management and task scheduling on the cooperative terminal nodes; s2, the central coordination node receives the smart contract execution request, performs logic analysis on the smart contract and decomposes the smart contract into a plurality of parallel subtasks; s3, the central coordination node assigns the subtasks to the cooperation terminal nodes for parallel processing, and validity verification is carried out on a calculation result through a verification process; and S4, the central coordination node encapsulates the verified final execution result into a transaction and submits the transaction to the target block chain network, and after the transaction is subjected to consensus processing, the smart contract is executed to update the state data on the chain. According to the method, the contradiction between limited computing resources of the Internet of Things equipment and high computing resource overhead of the block chain during integration of the Internet of Things and the block chain is solved.

A link training method and apparatus, which relate to the technical field of communications. The method comprises: starting a link training process for a link, wherein the link comprises at least one channel; receiving a first control frame, wherein the first control frame comprises a first training sequence; on the basis of the first control frame, locking a clock of the at least one channel, and sending a first logic layer management packet, wherein the first logic layer management packet indicates that the clock of the at least one channel has been successfully locked; receiving a second control frame, wherein the second control frame comprises a second training sequence, which comprises a pseudo-random sequence; on the basis of the second control frame, executing equalization training of the at least one channel, and sending a second logic layer management packet, wherein the second logic layer management packet indicates that the equalization training of the at least one channel has succeeded; receiving a third control frame, wherein the third control frame comprises a third training sequence, which comprises a pseudo-random sequence, and the second training sequence is different from the third training sequence; and on the basis of the third control frame, locking a data boundary of the at least one channel, and sending a third logic layer management packet, wherein the third logic layer management packet indicates a channel that has been successfully locked and / or a channel that has failed to be locked among the at least one channel.

The application belongs to the technical field of network communication and relates to a smart network communication link design method, which designs a set of link quality maintenance mechanism: a joint feature vector containing a physical layer bit error rate and a logical layer queue depth is constructed, signal degradation acceleration and queue accumulation acceleration are captured based on second derivative calculation, adjacent link probability distribution differences are compared and layered sorted in a Pareto manner, and link quality fine evaluation and degradation judgment are realized; candidate backup links are screened based on physical disjoint constraints, real-time performance feedback of the candidate backup links is obtained through perturbation detection packets carrying traffic feature templates, service degradation risk probability is predicted in combination with quality scores of target links, resource margin and path cost information are interacted between network nodes based on a distributed negotiation mechanism, an optimal switching path is generated, and service flow is smoothly migrated, so that link maintenance is upgraded from passive response to active pre-inspection.

The invention relates to the technical field of software defined storage, and discloses a dynamic storage distribution system and method of a radio frequency signal broadband stream disk, comprising: a parameter configuration module analyzes radio frequency data flow rate and storage array physical parameters, and an address mapping module, based on a data frame time index, stores the data frame time index; executing modular operation by utilizing a step length factor which is co-prime with the total storage stripe number, and generating a target logic address of discrete jump; the strip assembly module constructs a standard write-in unit according to a physical alignment size, and the direct memory access control module constructs a straight-through transmission path and dispersedly writes data into different physical channels. Through a modal co-prime mapping mechanism, full-space deterministic discrete distribution of write-in addresses is realized on a pure logic level; physical single-point congestion during multi-channel concurrent writing is eliminated, I / O long tail delay is reduced, and zero frame loss and time sequence stability of a high-bandwidth radio frequency flow disc are ensured.

The embodiment of the invention provides a data processing method and device, equipment and a medium. The method comprises the following steps: acquiring request information transmitted by a first logic module in a logic layer through a data layer; under the condition that the request information is the first write request through the data layer, performing permission verification on the first write request to obtain a verification result; and under the condition that the verification operation indicates that the first logic module has the authority to execute the write operation on the first data object corresponding to the first write request through the data layer, executing the write operation corresponding to the first write request on the first data object through the write module corresponding to the first data object, the writing module is a module for executing the writing operation of the first data object. The operation on the data object is split into the write operation, and the authority of the write operation on the data object is limited, for example, each logic module can only perform the write operation on the own data object. The isolation and limitation of the write operation between the logic modules are realized, the data security is improved, and the stability of software function operation is ensured.

The invention relates to a multi-platform chip collaborative verification system. The system comprises a platform execution layer, a central management and control engine, a dynamic fusion engine and a consistency automatic coordinator, the platform execution layer is composed of a design implementation and verification environment; the central management and control engine stores a central interface description file, and the central interface description file comprises a semantic layer, a logic layer and a physical layer; the dynamic fusion engine is connected with the central management and control engine and used for updating the logic layer and the physical layer based on the updating content of the semantic layer and pushing the updated logic layer and physical layer to the central management and control engine for storage; and the consistency automatic coordinator is connected with the platform execution layer and the central management and control engine, and is used for generating a storage resource access interface of a verification environment in the platform execution layer based on the central interface description file, and performing version consistency verification on the storage resource access interface of the verification environment in the platform execution layer and storage resources in design implementation. According to the invention, automatic updating of the multi-platform test environment with changed interfaces is realized.

The invention discloses a power grid real-time library binary stream batch loading and object pool-based configuration system and method, and the system comprises a data interaction layer which is used for receiving a user operation instruction through a graphical user interface and providing a display interface for a power grid platform database; the data model layer is used for reading a whole table binary data stream from the power grid real-time library, storing each row of data into a memory buffer area in a binary form, performing life cycle management on a stored record object through an object pool technology, and quickly displaying the data by utilizing an interface refreshing mechanism; the business logic layer is used for connecting the data interaction layer and the data model layer and processing the operation instruction received by the data interaction layer; according to the invention, the data processing efficiency and the system stability are greatly improved, and meanwhile, the user experience and the operation efficiency are improved by integrating multiple service functions.

A method includes receiving, using a messaging application executing at a computing device, a message including text. The method further includes determining an animation effect based on the text, wherein the animation effect includes a first animation effect and a second animation effect. The method further includes associating the first animation effect with a first logical layer of a graphical user interface of the messaging application, associating a second animation effect with a second logical layer of the graphical user interface, and associating text with a third logical layer of the graphical user interface, wherein the third logic layer is positioned between the first logic layer and the second logic layer. The method further includes generating, by the computing device, a message animation including the message. The method further includes outputting, by the computing device, a message animation within a graphical user interface of the messaging application for display.

Apparatus and methods for building a digital twin of a datacenter using edge-node computing is provided. Edge-nodes may collect telemetry data points from different infrastructure components of the datacenter. An AI engine may be configured to create a digital twin of the datacenter based on the data points captured by the edge-nodes. The digital twin may be segmented into a plurality of layers, and each layer may represent a different logical layer of the datacenter. Utilizing edge-nodes to capture data points may prevent overloading components of the datacenter and generate a digital twin for any suitable layer (physical or virtual) of datacenter.

The present application relates to the technical field of multi-core heterogeneous computing, and discloses a storage coherent hub chip based on core integration, a storage coherent arbitration device and an adaptive control method, aiming to solve the technical problems of high cross-core memory access latency, low coupling degree of cache coherence maintenance and memory scheduling, and slow response of operation strategy adjustment under the existing multi-core architecture. The present application takes an independently packaged storage coherent core as a globally consistent unique maintenance node, integrates a single-cycle static addressing architecture, adopts a cache coherence state machine and a memory scheduling controller with deep fusion of logic layers, realizes automatic switching between robust mode and aggressive mode through a pure hardware MHM monitoring unit, and the atomic withdrawal process is transparent to the upper layer. The present application can reduce the cross-core memory access latency by more than 40%, improve the storage access throughput by 25%, while guaranteeing 99.999% operation reliability, adapting to various heterogeneous interconnection protocols, and being applicable to various application scenarios such as servers, high-frequency financial transactions, AR / VR wearable devices, edge computing, etc.

The application discloses a kind of predictive maintenance management systems and methods for environmental sanitation equipment, belong to predictive maintenance management technical field.The system includes data acquisition layer, business logic layer, application layer, the business logic layer is separately connected with data acquisition layer, application layer communication.The data acquisition layer is used to collect the running data of environmental sanitation equipment in the car end;Business logic layer includes life prediction engine, maintenance process engine, inventory linkage engine and cost analysis engine;For processing the data imported by data acquisition layer;Application layer is as the interactive entrance of system and user.The application solves the problems existing in the maintenance management system of existing environmental sanitation equipment, such as unscientific maintenance strategy, low efficiency of management process and lack of decision support capability, and builds a closed-loop, intelligent maintenance management ecosystem.

The application discloses a feature recognition-based DMO file intelligent analysis system and method, an electronic device and a storage medium, relates to the technical field of data processing, and comprises a user interface layer, a business logic layer, a data access layer and the like.The user interface layer is used for providing file selection, progress display and state feedback functions.The business logic layer comprises a DMO analysis engine, a feature recognition module and a data verification module.The DMO analysis engine is used for realizing the reading and analysis of batch DMO files by adopting a multi-thread parallel processing mechanism.The feature recognition module is used for identifying measurement features in DMO files and extracting parameters.The data verification module is used for verifying the analyzed data.The data access layer is used for storing the verified data into a database, structurally processing the data and outputting analysis results.The application accurately identifies measurement features in DMO files by using an improved feature recognition algorithm, improves the analysis efficiency by adopting a multi-thread technology and supports batch file processing.

The application provides an STDF file analysis method and device and a storage medium. The STDF data stream is segmented, and each data segment obtained through segmentation is divided into compacted data based on PIR and PRR data types, so that the continuous data stream is divided into small block data of multiple logical levels. The required running memory for analyzing the small block data is small, the compacted data and the multiple small block data are analyzed in parallel based on computer multi-core operation, the analysis efficiency is improved, the analysis result is stored in a hardware storage device after the compacted data of one data packet is analyzed, the running memory is released, and the situations of lag and death are avoided. In addition, the analysis result including a test station, a test item and a test result is saved by using a multi-thread nested dictionary, which is equivalent to establishing a mapping relationship of each chip, a test item and a test result, and the test result of each test item of a single chip can be accurately searched.

The application provides a multi-agent running management and control method and an electronic device. The method comprises the following steps: receiving a user request, and determining a current task identifier, a target agent and a running resource bound to the target agent according to the user request; constructing a target running domain at a logic level; before calling the target agent, constructing a shadow running domain at a physical level, verifying whether the loaded resource entity in the running environment is consistent with the resource data defined by the target running domain; generating a resource binding proof, verifying whether the helper identifier transmitted by the business side has the binding relationship declared in the agent registry between the actually loaded agent and the resource thereof; if the verification passes, the target agent is called to execute model reasoning. The problem that the execution environment is difficult to uniformly represent and verify in multi-user, multi-session, multi-thread and multi-agent concurrent service is solved, and the stability and response effect of multi-agent running are improved.

Techniques for providing a machine learning (ML)-based framework for detecting and troubleshooting network-related issues in large storage fabrics. The techniques include detecting, based on an output of an ML model, a network-related issue in a distributed storage infrastructure. The ML model operates on telemetry data obtained from network elements, and computing / storage nodes on a storage network. A multilayer representation of the storage network includes a physical layer, a logical layer, and a service layer. The techniques include obtaining a correlation between the network-related issue and an activity, service, or status of the network elements / nodes in two or more layers of the multilayer representation. The correlation identifies a context of the network-related issue with respect to the network elements / nodes in the two or more layers. The techniques include providing an in-context alert pertaining to the network-related issue to at least one administrator of the network elements / nodes within the storage network.

The invention discloses a communication resource scheduling method and device, electronic equipment and a storage medium, and relates to the technical field of wireless communication, and the method comprises the steps: obtaining a user payment state, generating dedicated channel configuration according to the user payment state, and transmitting the dedicated channel configuration to a client terminal; receiving a dedicated channel switching request sent by the user terminal, establishing a dedicated channel with the user terminal according to the dedicated channel switching request and the dedicated channel configuration, and switching the user terminal from the public channel to the dedicated channel; physical layer frequency band division and logic layer network slicing technology collaboration are carried out on the dedicated channel, and dedicated communication resources are isolated; and dynamically adjusting the resource allocation of the dedicated channel, and allocating additional resources to the dedicated channel from the shared resource pool when the load of the public channel exceeds a first preset threshold value. According to the application, the private channel service is accurately provided based on the payment state of the user, the method has flexibility and landing application capability, and stable and efficient network service can be provided in a high-density scene.

The invention provides a chip and electronic equipment, the chip provided by the invention comprises a packaging substrate, a logic layer and an intermediate layer, and the intermediate layer is arranged between the packaging substrate and the logic layer; wherein the packaging substrate comprises a first power supply module, the logic layer comprises a second power supply module, the interposer comprises a plurality of through silicon vias, and the through silicon vias are connected with the first power supply module and the second power supply module; wherein the first power supply module comprises a power supply plane layer, and the second power supply module comprises power supply wires which are arranged in parallel. Therefore, through the three-dimensional power supply module, the power supply design can be optimized, the voltage drop can be reduced, the power supply distribution efficiency and stability can be improved, and the power requirements of different modules can be met.

The invention provides a structure information processing method and device for a system-on-chip, and the method comprises the steps: obtaining a logic hierarchy tree of the system-on-chip in a logic view stage; aiming at each node of the logic hierarchy tree, according to a preset macro name construction rule, a logic macro name of the node is generated through a node name of each node in a structure path of the node on the logic hierarchy tree, and the structure path refers to a path from a root node of the logic hierarchy tree to a leaf node corresponding to each node; generating a logic macro definition file corresponding to the logic view stage according to a mapping relationship between a hierarchical path from each node of the logic hierarchical tree to a root node and a logic macro name, introducing the changed hierarchical path into the logic macro definition file when the hierarchical path is changed, and establishing a mapping relationship between the changed hierarchical path and the logic macro name; the hierarchical path is replaced by the logical macro name.