532 results about "Logic module" patented technology

Some implementations of the disclosure provide a computer-implemented method including operations of receiving, by an orchestration agent, user input corresponding to a user question, wherein generating a response to the user question includes one of generating, editing, or refining programming code, and generating, by the orchestration agent, a prompt instructing a first sub-large language model (LLM) to perform a first task. In response to the prompt, generating, by the first sub-LLM, instructions for a second sub-LLM to perform a second task, wherein results of performing the second task by the second sub-LLM are provided to the first sub-LLM and performing, by the first sub-LLM, the first task utilizing the results of the second task generated by the second sub-LLM. An additional operation includes generating, by the orchestration agent, a GUI that displays the response to the user question, wherein the response includes or is based on the programming code.

In one embodiment, a method includes accessing transaction data associated with a protected first function of a first blockchain transaction protocol by a cybersecurity authentication service of a blockchain cybersecurity platform, accessing a transaction protocol runbook comprising preconfigured conditions associated with the protected first function, determining that the protected first function is eligible to be analyzed by an automated decisional logic module based on the transaction protocol runbook, determining each preconfigured condition is satisfied based on the transaction data by the automated decisional logic module, generating an authentication object for the protected first function, generating signed transaction data based on the accessed transaction data and a private encryption key, wherein the signed transaction data is configured to update a second blockchain transaction protocol to indicate that the protected first function is authenticated, and transmitting a transaction bundle comprising the accessed transaction data and the signed transaction data.

Some implementations of the disclosure provide a computer-implemented method including operations of receiving a user question by an orchestration agent, where generating a response to a user question includes generation of programming code, executing, by a sub-large language model (LLM), an instruction to generate the programming code and performing, by the sub-LLM, a validation process including determining whether the programming code generated by the sub-LLM includes a syntax error. When the validation process indicates the programming code does not include the syntax error, the method includes operations of invoking a logic module configured to execute the programming code, wherein the logic module is provided the programming code generated by the sub-LLM and executes the programming code and generating, by the orchestration agent, a graphical user interface that displays the response to the user question that includes or is based on results of execution of the programming code.

A decentralized mesh-network platform provides real-time governance, supervision, and audit of large-language-model persona agents in regulated environments such as healthcare. Each computing node hosts processor circuitry, memory, a network interface, and an integrated suite comprising a User-Prompt Interface, Metadata Filter & Enrichment Engine, Persona Role Constructor, Policy Constraint Engine, gating logic module, Supervisor Review Interface, Session Memory Governance Module, Audit Logging Subsystem, cryptographically linked audit ledger, and Fallback Control Module. Devices communicate over a peer-to-peer channel, exchange role-switch tokens, and merge local ledgers into a composite audit graph when connectivity returns. The architecture supports continuous compliance and resilient operation across institutional boundaries, network partitions, and device failures, enabling conversational interaction with heterogeneous medical data while maintaining rigorous credential lineage, policy oversight, and forensic traceability.

The invention discloses an analyzing and editing system and device for high-frame-rate rendering of a PDF document, and the system comprises a file list uploading module which is used for uploading a pdf file and displaying a version historical record list and information; the document analysis logic module is used for reading and analyzing document information, determining a block level sequence of obtained data, deleting useless elements, and carrying out content sorting and splicing according to a layout; the pdf original document display module is used for executing pdf document title display operation, document display page cutting operation, document directory generation operation and document analysis display result operation in original document uploading, and the document directory generation operation comprises the steps of capturing multi-level digital numbers of documents, classifying number types according to matching results of capture groups in regular expressions, and storing the classified numbers in a database; and then numbering processing is carried out through a specified hierarchy mapping rule, and finally a file directory number is obtained. The problems that a traditional tool is inaccurate in analysis, low in editing efficiency and poor in professional adaptation can be effectively solved.

The invention discloses a debugging system and a debugging method of an RISC-V architecture, and relates to the field of processor debugging, the debugging system comprises a debugging host, a transport layer interface, a debugging module, a debugging logic module in a processor core and a monitoring module, and all the components are in communication connection in sequence. According to the invention, by supporting an RV32 / RV64 double-word-length processor, being compatible with a U / S / M full privilege level operation mode and adapting to various mainstream open-source RISC-V cores and self-defined cores, compared with the existing scheme only supporting a single architecture variant, the method does not need to reconstruct debugging logic for different core types, reduces the core adaptation cost, does not need to customize a debugging instruction or a tool chain process, and has the advantages that the debugging efficiency is improved, and the debugging cost is reduced. Through the register and protocol standardization, the method has high compatibility, and the cross-platform debugging cost is reduced.

The invention relates to the technical field of software configuration management, and discloses a dynamic configuration analysis processing method and system based on a user-defined XML file, and the method comprises the following steps: S1, receiving a service request, and obtaining service data containing dynamic parameters; s2, acquiring a corresponding configuration object model according to the configuration identifier; s3, traversing the dynamic variable mapping table; s4, if the configuration relates to the external reference, recursively loading the external configuration file and merging the external configuration file to the current configuration context; s5, selecting a cache or dynamic loading strategy according to the configuration type; s6, injecting the final configuration into the service logic module; and S7, dynamically refreshing the configuration through a monitoring mechanism. Standardized XML format specifications are constructed through customized DTD, analysis of cross-file reference labels and dynamic attribute identifiers is supported, unification and modularization of configuration formats are achieved from the bottom layer, the problem of analysis logic fragmentation is fundamentally solved, and the efficiency and flexibility of enterprise-level configuration management are improved.

The invention discloses a fault arc detection system and method based on multi-source fusion and federated self-learning. The system comprises a sensor, a data processing and feature extraction module, an edge AI module, a decision logic module, a cloud server and a communication module. The method comprises the following steps: firstly, carrying out system starting and self-inspection, then carrying out multi-source data synchronous acquisition, then carrying out data preprocessing, multi-modal feature generation and lightweight edge AI model reasoning, finally carrying out fault judgment and rapid breaking control, and carrying out logic judgment according to an AI model output result. And when the fault arc is judged to be true, the breaking action of the circuit breaker is quickly executed, and an event is recorded and reported. Through innovation in three aspects of multi-source information fusion, real-time AI identification and federal self-learning updating, full-working-condition, high-precision, fast-response and evolvable fault arc detection is realized, the problem of pain points in the prior art is solved, and the method can be widely applied to the field of low-voltage power distribution safety protection and has remarkable practical value and popularization prospect.

The invention discloses a ship ladder braking and lift car leveling safety state monitoring system based on digital twinning, which relates to the technical field of mechanical and electrical engineering, and comprises a system integrated leveling monitoring module, which adopts a salt mist resistant fiber grating displacement sensor and a magnetic railing ruler-Hall array closed loop verification mechanism and is combined with an anti-corrosion stay wire encoder; high-precision leveling detection is realized; the vibration signal separation module effectively recognizes braking abnormity through a triaxial accelerometer and a self-adaptive signal processing technology; a dynamic twin adaptive engine is fused with the ship ladder dynamic model and a transfer learning algorithm, and control parameters are adjusted in real time; and the cross check logic module automatically reconstructs data when the sensor is abnormal, so that the reliability and the fault-tolerant capability of the system are ensured. According to the invention, the berthing position error of the lift car is controlled within a safety range under different loads, speeds and sea conditions of the ship ladder, so that the riding comfort and safety are improved.

The invention relates to the technical field of software simulation operation simulation, and discloses a software logic simulation operation control method and system in an audio processor. The control method is applied to logic simulation operation control equipment and specifically comprises the following steps that S101, an audio processor simulation operation request sent by a user side is received, a graphical user interface is generated according to the operation request, and the graphical user interface comprises a logic module list area, a design editing area, an attribute bar and an information display area; and the user side drags an icon of a logic circuit element from the logic module list area to the design editing area. Through a highly integrated graphical interface and intelligent interactive design, the design and simulation efficiency of an audio processor logic circuit is remarkably improved, and by adopting a'drag-and-generate 'module instantiation mechanism, an attribute bidirectional real-time synchronization technology and visual connection and signal type inspection, the reliability of the audio processor logic circuit is greatly improved. Therefore, the user can intuitively and quickly construct the complex circuit topology, and the professional threshold is greatly reduced.

An energy-conscious workflow planning system based on LLM with dynamic resource allocation, consisting of: a workflow input interface configured to receive workflow-directed acyclic graphs (DAGs), energy budget constraints, system performance constraints, and natural language requests from human operators; a large language model (LLM) logic module connected to the workflow input interface and configured to analyze the workflow specifications and system constraints in natural language, generate energy-conscious planning recommendations based on the analyzed workflow specifications, and provide explainable planning rationales in natural language; a reinforcement learning-based scheduling unit connected to the LLM reasoning module and configured to: receive scheduling recommendations from the LLM reasoning agent, fine-tune task-resource assignments by dynamically adapting to runtime variations, and perform online resource redistribution under runtime variability; an energy monitoring unit configured to: continuously monitor CPU and GPU utilization in heterogeneous clusters, track power consumption and thermal limits per node, and generate energy profiles for system components; a multi-objective optimization engine configured to: perform a Pareto-optimal scheduling analysis that balances energy consumption, lead time and reliability, apply statistical and AI-supported trade-off analyses and ensure optimal resource allocation based on Pareto frontier analysis; a dynamic resource allocation unit configured to: use predictive models that incorporate LLM inferences and feedback from reinforcement learning, reassign tasks between nodes and clusters while minimizing energy consumption and improving system throughput based on the predictive models; a performance optimization module configured to optimize scheduling decisions using multi-criteria optimization analysis; and a user interface that allows human operators to override and refine planning strategies in real time based on verifiable planning reasons.

The invention relates to the technical field of endoscope video processing and intelligent edge computing, in particular to an endoscope video enhancement processing intelligent edge computing system. Comprising a data acquisition module which is used for acquiring an original video frame sequence of edge endoscope equipment in real time; the feature extraction module is used for determining an instantaneous feature vector representing the dynamic change of the operation scene; the criticality quantification module is used for quantizing and generating a surgical event criticality score; the tuning logic module is used for generating a discrete and stable calculation normal form switching instruction; the assembly line switching module is used for responding to the calculation normal form switching instruction and executing an asynchronous weight preheating strategy; the utility evaluation module is used for constructing a dynamic utility function to evaluate system performance; and the threshold value correction module is used for performing closed-loop correction on the high-criticality threshold value by adopting a gradient rising strategy. According to the method, the stability of system decision making is enhanced, the smooth transition of the video processing flow among different calculation paradigms is ensured, and the robustness of the system is improved.

The invention relates to the technical field of integrated circuits, and provides a self-adaptive frequency modulation and voltage regulation chip control circuit and method, the circuit comprises a time sequence monitoring module which comprises a critical path replication sub-module and a daisy chain delay sub-module which are connected, and the critical path replication sub-module is used for simulating an actual critical data path in a chip; the daisy chain delay sub-module is used for applying a configurable delay amount on a time sequence to the output data signal; the time sequence performance after different time points is simulated; the first trigger is used for transmitting data signals; the sampling trigger module is used for sampling the data signal output by the time sequence monitoring module; the comparison logic module is used for generating a multi-bit time sequence margin indication code according to a comparison result; the time sequence margin indication code is used for adaptively adjusting the working frequency or the working voltage of the chip. According to the invention, through accurate monitoring and self-adaptive adjustment of a chip time sequence, all design margins can be utilized, and the energy utilization efficiency is improved, so that extreme low power consumption is realized.

The invention relates to the technical field of water and soil conservation and ecological restoration, in particular to an ecological slope water and soil loss monitoring and restoring system and method.The system comprises a monitoring and restoring node, a monitoring and restoring node and a monitoring and restoring node, the monitoring and restoring node is internally provided with a double-micropore channel for measuring the conductivity of a water sample in a layered mode, and a pore water pressure sensor and a pressure release valve are used for conducting pore pressure monitoring and micro pressure release; a double-verification logic module is built in, two-stage necessity verification and two-stage effectiveness evaluation are achieved, and then the instability risk is accurately judged and self-adaptive repair is achieved. The ecological slope water and soil loss monitoring and repairing system and method solve or at least relieve the problems that an existing system is difficult to distinguish transient disturbance and real instability precursor and lacks intervention effect evaluation and self-adaptive optimization, the instability precursor and disturbance can be accurately distinguished, intervention can be effectively evaluated, self-adaptive optimization is achieved, and the ecological slope water and soil loss monitoring and repairing system and method are provided. And the intelligence, intervention credibility and long-term reliability of the system are improved.

The invention relates to a laser automatic frequency locking control system and method based on cold atom feedback and a matched spectrum, the system comprises a laser module, a spectrum module, a photoelectric detector, a modulation-demodulation module, a digital PID controller and a data acquisition and operation platform, and the output end of the laser is connected with the spectrum module; the detection light output by the spectrum module enters the modulation-demodulation module after passing through the photoelectric detector; an output signal of the modulation-demodulation module enters a digital PID controller, and the digital PID controller is connected with a laser for frequency scanning control and is in two-way communication with a data acquisition and operation platform through a data interface; the data acquisition and operation platform comprises a cross-correlation algorithm processing module, a frequency control logic module, a cold atom feedback processing module and an abnormity management module, and is used for calculating, feeding back, controlling and monitoring the system operation state in real time and completing the automatic frequency locking process. According to the invention, the accuracy of frequency locking point identification and the frequency locking efficiency are improved; and automatic relocking can be achieved, and long-term stable frequency locking operation is guaranteed.

The invention relates to the technical field of numerical control machine tool intelligent control, and discloses an earphone mold electrode intelligent processing system of a five-axis CNC machine tool, which comprises a five-axis linkage control module configured to cooperatively move with an A / C rotating shaft through an X / Y / Z linear axis; the multi-sensor feedback module integrates a vibration sensor, a temperature sensor and an acoustic emission probe, and collects vibration, temperature and acoustic emission data in the machining process in real time; the dynamic control logic module is used for dynamically adjusting processing parameters according to data of the multi-sensor feedback module on the basis of a pre-stored adaptive parameter library and a threshold rule; and the artificial intelligence optimization module is configured to generate processing parameters through a machine learning algorithm in combination with the historical processing data and the real-time sensor data. X / Y / Z linear axes and A / C rotating axes are coordinated through the five-axis linkage control module, vibration, temperature and acoustic emission data are collected in combination with the multi-sensor feedback module, and real-time adjustment of the posture of the tool is achieved.

The invention relates to an intelligent agricultural system based on modular collaboration and AI Agent driving. Environmental sensing, video monitoring and equipment operation data are comprehensively acquired through a data acquisition module; the data processing module carries out real-time abnormity diagnosis and mode analysis; the core framework module cooperatively schedules the data storage module, the user management module and the external interface module to realize cross-layer resource and data integration; the business logic module is connected in series with each layer of events to dynamically generate backlogs and drive multi-domain function execution; and the AI service module carries a multi-modal agricultural agent Agent, has the capabilities of natural language understanding, multi-round dialogue memory, agricultural knowledge reasoning, equipment control decision making, abnormity pre-judgment and personalized suggestion generation core AI, coordinates operation of each module, and realizes intelligent jump from passive response to active suggestion. According to the invention, the problems of response lag, operation splitting and data analysis fragmentation of an existing agricultural system are solved, and the real-time performance, the collaboration and the decision accuracy of agricultural management are remarkably improved.

The invention discloses a farmland heavy metal pollution monitoring system, and relates to the field of heavy metal detection, and the system comprises a creation module which is used for uploading the structure information of an area where a farmland is located, and creating a farmland twinborn model based on the structure information of the area where the farmland is located; the logic module is used for generating heavy metal sensor deployment logic according to the farmland twinborn model; according to the method, the farmland twinborn model is constructed and calibrated according to the farmland and the structure information of the area, the high matching degree of the model and the actual farmland is guaranteed, an accurate foundation is laid for monitoring, the areas are equally divided according to the topographic features of the twinborn model, the heavy metal sensors are differentially deployed, the lower the position is, the higher the density is, and comprehensive and targeted monitoring of each area of the farmland is realized.

The invention provides a rich text editor component, a structured exporting method and a content editing system, and relates to the technical field of computers. According to the method, a componentization packaging module is used for packaging a rich text editor core library into a single file component based on a front-end componentization framework and completing initialization and destruction of an editor instance in the life cycle of the single file component; the attribute parameter module is used for defining and receiving configuration parameters from the upper calling component, and the configuration parameters at least comprise an editor mode type, a content export format and a remote content address; the core logic module is used for realizing key operation logic of the editor; and the business editor module is used for calling the rich text editor component in a declarative mode in a business application page, so that rapid integration without compiling bottom layer codes is realized. According to the embodiment of the invention, the development efficiency and function flexibility of the rich text editor can be improved.

A memory controller (MC) and a microcontroller unit (MCU) chip are disclosed. The MC is obtained by adding a smart load control (SLC) module to an MC architecture with an ECC logic module. When a CPU is reading contents from first memory, the ECC logic module can accurately identify soft failure locations and correct 1, 2 or more bit errors, and when errors exceeding the error correction ability of the ECC logic module, the SLC module can select a suitable error correction mode for handling the soft failures in the first memory based on conditions of different ECC errors and soft failure locations as well as on the system's error correction need.

The invention relates to the field of urban lighting intellectualization, and particularly discloses a million-level concurrent communication urban single lamp control method and system, and the method comprises the steps: collecting lamp operation state data, packaging the data into an operation data packet, and transmitting the operation data packet to a load balancing module; fixedly distributing the same four-tuple flow in the operation data packet to an equipment communication module instance by adopting a four-tuple consistency Hash algorithm; issuing a device control request to the monitoring logic module by using the application platform, receiving and storing the transcoding data packet through the monitoring logic module, and processing the device control request and a device control message; after protocol coding is carried out on the equipment control message, the equipment control message is sent to the single lamp controller through the established communication connection; the load monitoring module monitors the load indexes of all the modules to perform multi-index cross validation, capacity expansion and capacity reduction operation is automatically selected, and the distributed micro-service architecture is combined with the containerization technology to improve the resource utilization rate and reduce the time required for capacity expansion.

The invention discloses a general data exchange system based on a configurable label structure, which relates to the technical field of data processing and information integration, and comprises a parameter module used for establishing an identity authentication mechanism of two exchange parties; the business document module is used for establishing a data structure definition based on a preset exchange demand; the receipt logic module is used for carrying out logic analysis and code decoupling on the data structure definition, generating a marked language script code and an execution instruction, constructing an execution matrix and realizing mapping between a database physical field and a memory logic variable; and the standard adaptation module is used for comparing and checking the content of the generated data and feeding back a checking result to the parameter module to correct the exchange rule and parameter configuration. A more intelligent logic separation strategy is implemented through structural insight, data reading, writing and transmission are cooperatively controlled, complete decoupling of service logic and program codes is achieved through a nested tag structure, and flexibility, universality and maintenance efficiency of data exchange are optimized.

The invention relates to the technical field of software adaptation, in particular to a Beidou communication software development cross-platform adaptation method and system. The method comprises the following steps: defining an interface function library; constructing a virtual hardware logic module; linking the to-be-tested software, the interface function library and the virtual hardware logic module by utilizing a link rule, and determining an executable file of a single process; in the process of performing adaptation on the to-be-tested software by using the executable file of the single process, setting a simulation state of the virtual hardware logic module in response to calling of the state control interface by the test code, and setting a simulation state of the virtual hardware logic module in response to function calling of the native interface function by the to-be-tested software. And calling the virtual hardware logic module through an interface function library so as to carry out adaptation processing on the to-be-tested software. The invention aims to solve the problem that cross-platform adaptation cannot be realized due to the fact that all behavior characteristics of native hardware interfaces of different operating systems cannot be accurately reproduced in a virtual environment in the prior art.

The invention discloses an automatic sealing detection and drainage device and method for an integrated pressure refueling connector, and belongs to the technical field of aviation ground support equipment. According to the device, a detection and drainage function module is highly integrated in a pressure refueling joint body, and the device mainly comprises an overturning covering and sealing module, an embedded detection and gas circuit module and a control and logic module; the core of the device is that a detection cover which can be movably overturned automatically covers the end part of the joint before refueling to form a closed detection cavity, then inflation and pressure maintaining are carried out through a built-in micro gas circuit, the sealing performance is automatically judged according to pressure attenuation or flow change, and the interior of the joint is purged and drained by utilizing detected gas pressure. According to the invention, rapid and automatic self-examination and maintenance of the pressure refueling joint before use are realized, operation with diseases is fundamentally avoided, the safety and reliability of aviation fuel refueling operation are remarkably improved, and meanwhile, digital management of the equipment state is realized.

A short-circuit protection circuit of a half-bridge driving chip relates to the field of short-circuit protection and integrated circuit design, and comprises a pre-driving module for generating a high-side signal and a low-side signal; the half-bridge module is driven, a high-side MOS receives a high-side signal, and a low-side MOS receives a low-side signal; the gate source hardware clamping module is used for carrying out voltage clamping on the high-side MOS when over-current of the over-ground short circuit of the high-side MOS is detected; the phase voltage short-circuit protection module is used for controlling the overcurrent time when the high-side MOS short circuit is over-current, and sending a fault signal to the logic module when detecting that the high / low-side MOS short circuit is over-current; the bus over-current protection module is used for sending a fault signal to the logic module when bus over-current is detected; and the logic module judges whether the short-circuit protection circuit enters a protection state according to the fault signal. According to the invention, the response speed and the protection mechanism are intelligently switched in real time in different overcurrent fault scenes through the three-stage protection circuit, and the circuit has the characteristics of high sensitivity, fast response speed and strong anti-interference capability.

According to the memory controller and the microcontroller chip provided by the invention, on the basis of a memory controller architecture with an ECC (Error Correction Code) verification logic module, an intelligent copying control module is additionally added, and when a CPU (Central Processing Unit) reads corresponding contents in a first memory, the corresponding contents in the first memory are copied; according to the method, the soft failure position can be accurately identified through the ECC verification logic module, errors of 1 bit or 2 bit or several bits can be corrected, and when the error correction capability range of ECC verification is exceeded, the error correction requirements of the soft failure position and the system can be corrected by the intelligent copy control module according to the conditions of different ECC verification errors and the condition of the soft failure position. Different error correction modes are selected to process the soft failure in the first memory, and it is not necessary to generate reset to destroy coherent execution of a program when the error correction capability range of ECC verification is exceeded every time, so that quick correction of soft failure errors is realized under different soft failure conditions, the system operation coherence is improved, and the error correction efficiency is improved. And high reliability of system operation is considered, and various reliability demand scenes are covered.

The invention provides a jitter frequency control circuit and a switching power supply. The jitter frequency control circuit comprises a logic module and a delay output module, the logic module is electrically connected with the delay output module, and the delay output module is used for being electrically connected with a control module in the switching power supply. The logic module is used for outputting a control signal to the delay output module according to a preset signal; the delay output module is used for delaying a received first clock signal according to the control signal, outputting a second clock signal to the control module and providing jitter frequency for the control module, and the first clock signal is a clock signal in the switching power supply. According to the invention, multiplexing and delay processing are carried out on the internal existing clock signal, so that the hardware cost required by newly adding an independent oscillator module is saved, the additional synchronous logic design cost and the switching power supply chip space occupation cost under a double-clock architecture are reduced, and the design cost of the switching power supply is greatly saved.

The invention discloses an airborne environment monitoring and obstacle early warning system and an implementation method, and relates to the field of civil aviation auxiliary flight systems, the airborne environment monitoring and obstacle early warning system comprises hardware composition modules including a foresight sensing module, a lateral camera module, a millimeter wave radar system, an airborne computing platform, a cockpit display system and a positioning and attitude sensing module; the data synchronization and coordinate conversion module aligns all sensor data to an aircraft body coordinate system; the sensing algorithm module comprises a sensor data acquisition and preprocessing module, a feature extraction module, a coordinate conversion to BEV coordinate system module, a feature fusion module, a target detection module, an attitude correction module, an early warning logic module and a parameter configuration module; and the state adaptation module dynamically adjusts the perception strategy based on the flight stage. The method has the advantages that the sensing ability of the aircraft to the surrounding environment in the sliding and flying process is improved, a pilot is assisted in recognizing obstacles, and collision accidents are prevented.

A system for evaluating the performance of an educational institution, which includes: a data acquisition circuit configured to receive and preprocess input data streams representing institutional metrics in a variety of dimensions, including academic parameters, teaching quality parameters, social context parameters, and economic parameters; a KPI calculation unit operatively coupled to the data acquisition circuit, the KPI calculation unit comprising a plurality of processors and memory components configured to extract and calculate predefined Key Performance Indicators (KPIs) based on dimension-specific rule sets; a statistical processing unit comprising at least one statistical processor embedded in the hardware and configured to perform correlation analyses, multivariate regressions, and principal component analyses for the calculated KPIs; an efficiency modeling unit implemented as a programmable logic module and configured to perform a data envelopment analysis (DEA) to assess the relative efficiency in converting institutional resources into academic and operational outcomes; a composite assessment unit with hardware logic to apply a weighted linear aggregation across the dimension-specific KPI values ​​to generate a final institutional performance index; and a visualization output interface embedded in a graphical rendering circuit and configured to display multidimensional performance counters and system alerts on a dashboard interface.

The invention discloses a switching communication device, a switching communication method and a server, relates to the technical field of computers, and realizes equipment-level decoupling and resource pooling basis by actively managing a GPU (Graphics Processing Unit) through a second interface configured to be in a root complex mode. The on-chip management system and the switching logic module form a control core, a data switching strategy is dynamically executed, and conversion from passive forwarding to autonomous management is achieved. And the virtual port module performs software definition and dynamic allocation on network resources, so that the flexibility of resource utilization is improved. Meanwhile, MAC ports in two modes of direct connection and exchange are supported, so that the device can flexibly construct a high-performance direct connection network or a large-scale exchange network, and the limitation of fixed topology is broken through. And the data processing module ensures high efficiency of data conversion between different interface protocols. According to the device, the communication efficiency and schedulability between the GPUs are improved by integrating high-speed exchange, intelligent management, resource virtualization and flexible networking capabilities.