178 results about "End system" patented technology

The invention relates to the technical field of cloud side end computing, and discloses a cloud side end cooperative computing resource dynamic allocation method based on task-aware migration. The method comprises the following steps: acquiring real-time load characteristics and resource demand characteristics of calculation tasks in a cloud side end system, and dividing task priority queues in combination with task type identifiers; extracting historical execution records of tasks at cloud, edges and terminal nodes, constructing a task execution feature library, and generating a resource demand prediction model in combination with real-time load features; analyzing network transmission time delay characteristics of a cloud end and edge nodes, measuring real-time calculation capability fluctuation data of terminal equipment, and establishing an inter-node resource collaboration degree evaluation matrix; generating an initial migration strategy according to the prediction model and the evaluation matrix, monitoring actual resource occupancy deviation of the task, forming a final decision in combination with a node resource state correction strategy, triggering cross-node migration, and synchronously updating the priority queue and the evaluation matrix.

The invention discloses an interaction control method and system for an intelligent agent and a front-end and back-end system, and the method achieves the automatic control of the intelligent agent on the front-end and back-end system through the integration of a large language model. The method comprises the following steps: an intelligent agent performs natural language intention recognition through a large language model, automatically selects a proper tool, extracts parameters required by the tool, converts the intention into a target task, generates a structured control instruction, maintains a complete session history and supports multiple rounds of dialogue interaction; the back end receives a user request, calls an intelligent agent to generate a structured instruction, transmits the structured instruction to the front end, and dynamically adjusts a subsequent instruction according to the received front end feedback; and the front end receives the instruction transmitted by the rear end, automatically identifies an instruction format through a regular expression, performs corresponding operation after parameter verification and feeds back a result. According to the method, unified control of the agent on the front-end UI and the back-end business logic is realized, complex multi-round dialogue and multi-step operation are supported, and the method has a wide application prospect.

The invention discloses a quick data traceability method and system based on multi-source log analysis, and relates to a data processing system or method specially suitable for administrative, commercial, financial, management, supervision or prediction.The method comprises the steps that firstly, the system responds to a service instruction to generate a transaction receipt containing a unique serial number and service attribute parameters; and establishing an association relationship between the two records and generating a to-be-confirmed record and a timestamp. And sending a service message containing the service attribute parameters to a receiving end. When an ownership right reverse search request of a receiving end is received, the system calculates an effective time interval based on current time and a preset time delay threshold value, and screens out a target to-be-confirmed record which is matched with a service attribute parameter and generates a timestamp in the interval. And finally, extracting the unique serial number from the target record, generating a confirmation receipt and sending the confirmation receipt to a receiving end system. The method is used for reducing the calculation overhead and false alarm rate of accurately positioning specific abnormal transactions in massive logs by a system, and improving the confidence and timeliness of an automatic traceability result.

An AI decision based multiple telecommunication endpoints system is provided, including a telecommunication endpoint device and an artificial intelligence decision controller. The telecommunication endpoint device performs a communication test with the radio frequency communication device under test. The artificial intelligence decision controller is electrically connected to the telecommunication terminal device to control the communication test, and performs an efficiency analysis on the result of the communication test, and generates a decision instruction according to the result of the efficiency analysis. The artificial intelligence decision controller can centrally control, replace and analyze multiple artificial intelligence modules and generate a large number of telecommunication endpoints device signal sending and receiving behaviors, providing a telecommunication endpoints system with self-adaptive adjustment process, parameters, result analysis and reasonable cost as a test for the development phase, deployment phase, or maintenance phase of the telecommunications equipment product development process.

The invention relates to the field of data security, in particular to a network security intelligent detection method based on big data, and the method comprises the steps: collecting network flow data, a terminal system call sequence and a user operation behavior log, and carrying out the data fusion processing to generate a unified behavior event flow; selecting a key behavior event based on an information entropy threshold value, performing time alignment through a dynamic time warping algorithm, and constructing a behavior gene map containing a communication association gene, an operation sequence gene and a behavior time sequence gene; a dynamic behavior baseline model is established by using unsupervised learning, and gene mutation detection and alarm are realized by calculating the deviation degree of each gene dimension; the detection performance is evaluated based on the false alarm rate, model parameters are optimized through a negative feedback mechanism, and acknowledged attack features are stored in a sharable threat gene feature library through a positive feedback mechanism. According to the method, the detection accuracy is continuously improved through a closed-loop learning mechanism, and a self-adaptive safety protection system with self-optimization capability is constructed.

The invention relates to a time-sensitive network end-to-end secure communication method, and belongs to the technical field of communication. According to the method, a TSN terminal system of Linux is used for realizing bidirectional identity authentication and key agreement based on an SM2 cryptographic algorithm, and an SM4-CCM algorithm is used for realizing time-sensitive network security communication and data integrity verification; the SM2 national secret algorithm is an asymmetric encryption algorithm, a signature pair is generated based on an elliptic curve discrete logarithm problem, the two parties negotiate a shared key through elliptic curve point operation, a public key of a receiver is used for encryption, and only a private key can be used for decryption; sM4-CCM is a combination of an SM4 block cipher algorithm and a CCM mode, and is used for providing confidentiality, integrity and authenticity of data; according to the CCM mode, through combination of CTR encryption and CBC-MAC authentication, efficient authentication encryption is realized. The method can be used for real-time secure communication in a high-reliability industrial scene.

The invention relates to the technical field of time-triggered network communication, in particular to a time-triggered Ethernet scheduling generation and synchronization system based on a hardware time axis construction engine. According to the system, a time axis structure consistent with global synchronization time is constructed on a switch side through hardware, sending time and a sending sequence of a time trigger frame configured by a user are directly mapped into a resource occupation relation on a time axis, and scheduling window mapping, conflict detection and window shaping are completed on a hardware level; therefore, a deterministic scheduling table is generated; through a double-table storage and time alignment switching mechanism, undisturbed updating and synchronous effectiveness of the dispatch table between the switch and the end system are realized. Compared with a traditional scheme of generating a scheduling table depending on a software algorithm, the method does not need a complex scheduling solution process, supports manual controllable configuration of time-triggered frame scheduling, and improves the certainty, autonomy and engineering realizability of the system.

The application provides an access backhaul end-to-end system, comprising a wireless backhaul module, a backhaul base station and a backhaul core network module; the wireless backhaul module is used for obtaining service data and signaling data forwarded by an original access base station, and performing air interface protocol encapsulation on the service data and the signaling data to obtain air interface interaction data packets; the backhaul base station is used for demodulating the air interface interaction data packets, encapsulating demodulated data based on a service interface protocol and a signaling interface protocol, and transmitting signaling data and service data of the backhaul base station obtained to the backhaul core network module; and the backhaul core network module is used for demodulating data of the backhaul base station and transmitting to a target receiving network according to a corresponding destination address. The access backhaul end-to-end system disclosed by the application makes backhaul control more flexible, facilitates mobility control, and can further enhance backhaul quality and control means.

The application discloses a method for establishing end-to-end secure communication of unmanned aerial vehicle under cloud network architecture, and takes cloud server as a security service center to provide full-process authentication service for unmanned aerial vehicle end system; the cloud server only issues public authentication materials to unmanned aerial vehicles, and session key negotiation and establishment of end-to-end secure communication are realized between unmanned aerial vehicles; the unmanned aerial vehicle end system does not need to store authentication materials of other unmanned aerial vehicles in advance, the cloud server is driven by specific tasks, and specific authentication materials required for key negotiation are issued to unmanned aerial vehicles which need to be securely cooperated according to task requirements. The application only requires that the cloud server and any one of the unmanned aerial vehicles for key negotiation establish a communication connection, and the authentication materials issued by the cloud server can make the unmanned aerial vehicles realize key negotiation and establish an end-to-end secure channel in a specific range; different temporary public keys are used for each request message, which can effectively prevent the harm caused by long-term and short-term secret leakage.

The invention belongs to the technical field of avionics, and particularly relates to an architecture design method of a TSN network end system with dual-processor collaboration. The system architecture comprises a main processor and a network card; a buffer A, a register A, a buffer B, a register B, a coprocessor and a protocol conversion module are arranged in the network card; the main processor performs data interaction with a buffer A and a register A in the network card; the coprocessor performs data interaction with a buffer B and a register B in the network card; the protocol conversion module performs data interaction with the buffer A, the register A, the buffer B, the register B and an external network; the main processor is used for receiving an airborne light thunder signal, a sensor signal, an avionics / electromechanical control signal and a graphic video signal, and outputting light thunder sensor data, an avionics / electromechanical control instruction and a graphic video signal; the coprocessor is used for receiving avionics network management data, network time synchronization data and built-in self-inspection data and outputting corresponding data packets.

The application discloses an application updating method and device, and relates to the field of system release management of Fintech (Fintech). The method comprises the following steps: selecting a server as a first server from at least one server associated with a first front-end system; updating an application of a first version deployed in the first server into an application of a second version; testing an optimized function of the application of the second version relative to the application of the first version; establishing a second front-end system according to the first front-end system and the application of the second version; associating the second front-end system with the first server; testing a newly-added function of the application of the second version relative to the application of the first version; and if it is determined that the test is passed, determining that the application updating is successful. The method improves the verification efficiency of application updating and improves the stability of system use.

A hazardous energy control system is presented. The system includes a back-end system and a personal electronic device communicatively connected to the back-end system. The personal electronic device provides a user interface for a user to select a set of equipment from the pieces equipment at the worksite for electrical isolation from hazardous energy sources via lockout / tagout (LOTO). The back-end system is configured to dynamically the back-end system is configured to dynamically determine a LOTO procedure for electrical isolation of the set of equipment from the hazardous energy sources based on the electrical node data set indicating pieces of equipment, energy isolation devices (EIDs), and electrical connections between the pieces of equipment and EIDs on a worksite.

The application discloses a kind of physical routing-based OTN boutique private network automatic routing system and method, comprising: obtaining the order information of OTN boutique private network;According to the customer AZ end address, in combination with the associated relationship of the equipment and site of the equipment, the equipment information of the two ends of circuit is obtained;According to the OTN optical channel routing data, and the equipment network element and GIS physical location information of the equipment, the length of optical channel is obtained;According to order rate, and the length of optical channel, the target optical channel is obtained by screening;According to serial number, instance number and national optical cable data, form the same routing pair;The optical channel path of OTN private network is calculated, and the optical channel path is fed back to the lower end system to open the service.The application solves the problem of physical routing detour, and calculates to avoid the same routing set from the identification point atomic level, solves the problem of main and standby same routing, effectively improves the security and latency of government service.

This application provides a method, apparatus, device, medium, and program product for dynamic orchestration of data flow interfaces. The method involves copying individual business atomic modules from a graphical module library to a module assembly interface in response to drag-and-drop commands at the front end. Then, in response to logic assembly commands, the individual business atomic modules are assembled into a target business module. The parsing request for the data flow interface is determined based on the target business module and preset interface parameters and sent to the back end. At the back end, the interface source file is determined based on the received parsing request and a preset dynamic template. The interface source file is then dynamically compiled according to the application environment of the interface. Finally, an interface encapsulator encapsulates the compilation result to determine the target data flow interface. This method achieves the goal of using a graphical front-end system to construct the core logic of the interface and then using a back-end service system to automatically and dynamically orchestrate the interface code encapsulation, thus solving the technical problem of low development efficiency caused by the reliance on direct code customization in existing technologies for interface development.

This application discloses a remote start-stop control system and method for ships, including a ship-end system and a shore-end system. The ship-end system includes: a ship-end sensing unit for acquiring ship status information and execution result data; a ship-end communication unit for uploading ship status information and execution result data to the shore-end system and receiving remote control commands; and a ship-end control unit for performing preparation control, start control, and stop control of the ship's power system according to the remote control commands. The shore-end system includes: a shore-end control unit for receiving remote control commands; a shore-end communication unit for receiving ship status information and execution result data and issuing remote control commands; and a shore-end display unit for displaying ship status information, remote control commands, and execution result data. This application can reduce the system's reliance on manual labor, improve its intelligence, operational efficiency, and reliability, and can be widely applied in the field of ship control technology.

The invention discloses a traffic mirroring and automatic comparison verification method for back-end architecture migration, and the method comprises the steps: copying a real online request from a client at a traffic entrance, and forwarding the real online request to a first back-end system as a current network system and a second back-end system as a to-be-verified target system; according to the method, the two sets of systems execute the same request processing flow in parallel under the completely consistent real service flow and the upstream and downstream dependency condition, and meanwhile, the client only receives the response of the first back-end system, so that the verification process of the second back-end system is transparent to a user, and no extra risk is introduced; furthermore, status codes, response headers, response bodies and response time information of responses of the two systems are collected in a unified mode in the method, one-to-one pairing is carried out based on request association identifiers, processing results of all service requests in the new system and the old system can form comparable response pairs, and therefore an accurate corresponding relation is established for follow-up analysis.

The application discloses a chip silicon pre-verification method and device, a hardware simulator and a medium, and belongs to the technical field of artificial intelligence chips. The method comprises the following steps: acquiring memory data from a physical accelerator; executing initial logic of a plurality of operators to be verified in a fixed order; testing the plurality of operators in sequence to obtain standard output results corresponding to the plurality of operators respectively; and storing the standard output results of each operator in the plurality of operators in target memories corresponding to the operators. When each verification operator is verified individually, the standard output results of the previous operator are directly acquired from the target memory corresponding to the previous operator as simulation input data of the verification operator, the reconstruction logic of the verification operator is executed, the first simulation output result of the verification operator is obtained, and the first verification result of the verification operator is determined. Each operator in an end-to-end system is disassembled, coupling between the operators is avoided, each operator does not need to be analyzed, the operator that fails to verify is accurately positioned, and the verification efficiency is improved.

The invention discloses a smoother unified authentication access method, and belongs to the technical field of information security. The method comprises the following steps that: an entry control module executes Token existence judgment and address source judgment, and obtains a unified authentication address through a fetch method; the front-end system dynamically creates a hidden iframe loading unified authentication address, and establishes a message monitor; the lightweight callback processing module detects a running environment, extracts code information, and sends the code information to a parent window through a postMessage method; the entry control module receives code information, verifies a source, stores the code information to a temporary variable, and triggers a custom event; and the routing interception authority control module obtains code information, sends an authorized login request to a rear end, stores Token after completing user identity verification, and enters a system. According to the method, authentication is completed in the current page through an iframe and post Message communication mechanism, so that repeated page skipping and repeated resource loading are avoided, non-perception silent authentication is realized, and user experience and system performance are improved.

The application discloses a kind of direct current receiving end system operating boundary calculation system and method, system includes: real-time simulation workstation, real-time digital simulator, direct current background operation workstation and simulation interface board card;Real-time simulation workstation is configured to the corresponding AC-DC system simulation model and AC fault set of direct current receiving end system;Real-time digital simulator is used to load AC fault in AC fault set to AC-DC system simulation model, and calculate the power parameter of AC-DC system simulation model under AC fault;Simulation interface board card is used to send power parameter to direct current background operation workstation;Direct current background operation workstation is used to determine the operating boundary result of direct current receiving end system under AC fault based on power parameter.Solve the technical problem that the existing direct current receiving end system operating boundary calculation is low in reliability.

The invention belongs to the field of intelligent tool cabinet management, and particularly relates to an intelligent tool cabinet management system and method based on the Internet of Things. Comprising at least one intelligent tool cabinet terminal, a user mobile terminal and a system background server, through an optimization algorithm of the core processing engine module, the system can automatically calculate an optimal tool configuration scheme of each tool cabinet based on historical use data, a traditional fixed configuration mode is broken through, on-demand dynamic adjustment is realized, the tool utilization rate is remarkably improved, a configuration decision is converted from dependence on artificial experience into data driving, and the system reliability is improved. According to the technical scheme, the scientificity and the accuracy of decision making are improved, and the problems that tool management is always in the primary stage of passive response and local optimization and real intelligence and global optimization cannot be achieved due to the fact that the management mode is stiff and resource configuration and dynamic requirements are seriously separated from fundamental limitation in the existing technical scheme are solved.

The application discloses a new energy follow / network converter capacity configuration method based on a power angle stability boundary, first, a new energy sending end system simulation model containing a network type converter is established, and a steady state operating point of the system is calculated; then, the network type converter is dynamically equivalent to a synchronous generator, equivalent machine parameters are obtained, and the original simulation system is simplified into an equivalent machine and a new energy sending end system of a follow network type; mechanical power and electromagnetic power of the equivalent machine before, during and after a fault are derived, and an equivalent machine power angle characteristic curve is obtained; acceleration area and maximum deceleration area of the equivalent machine under different network type converter proportions are calculated, and a proportion of the network type new energy under a critical power angle stability of the system is obtained by using a dichotomy; simulation is carried out based on a PSASP platform, and rationality of the proposed configuration principle is verified. The scheme can reduce network investment of the system while guaranteeing safety and stability of the system, and improve the power grid's accommodation capacity for new energy.

The invention discloses a vehicle service calling method and device and electronic equipment, and relates to the technical field of communication, an equipment end system of the method comprises a model context protocol MCP routing component, and the MCP routing component manages a plurality of registered MCP service ends which provide different vehicle services. According to the method, an MCP service calling request is generated under the condition that a device end system or a cloud end system receives a user instruction. An MCP service calling request generated by the device end system is sent to an MCP routing component of the device end system through an MCP client of the device end system, or an MCP service calling request generated by the cloud end system is sent to an MCP routing component of the device end system through a cloud end MCP relay gateway; and the MCP service calling request is sent to an MCP server side corresponding to the equipment side system through the MCP service routing component. And finally, calling a service interface corresponding to the MCP service calling request through the MCP server to execute a corresponding service so as to realize calling of the vehicle service. Therefore, the embodiment of the invention realizes unified calling of the vehicle service.

The invention discloses a medical laboratory digital intelligent operation decision-making system based on real-time monitoring. The medical laboratory digital intelligent operation decision-making system comprises a data source synchronization module, a data processing module, a data storage module, a calling display module and a monitoring early warning module. The data source synchronization module is used for synchronizing original data to a local database; the data processing module is used for preprocessing the original data; the data storage module stores the processed data into corresponding local databases according to different functional modules; the calling display module provides an interface for a front-end system to call, and dynamically queries data according to user requirements; the monitoring and early warning module compares monitoring data with an index threshold value in real time, and automatically triggers early warning when the monitoring data and the index threshold value exceed the range. The original data is synchronized, cleaned and logically processed through the data source synchronization module, the data processing module and the data storage module, so that manual statistics is not needed, the analysis time is shortened, and meanwhile, the calling display module is arranged to realize traceable analysis, so that subsequent continuous improvement is facilitated.

The invention relates to the technical field of avionics networks, and discloses a TSN redundant frame filtering method and system based on an IEEE802.1 CB protocol, and the method comprises the steps: receiving a data frame through an MAC layer of an end system, and extracting a destination MAC address and a source MAC address of the data frame; constructing an address two-tuple by using the destination MAC address and the source MAC address, and performing matching query in a pre-configured flow table by adopting a binary search algorithm to obtain a flow identifier corresponding to the address two-tuple; searching data stream state information bound with the stream identifier, wherein the data stream state information comprises a currently received maximum frame sequence number and historical window information for recording a historical frame receiving state; comparing the serial number of the data frame with the maximum frame serial number; according to the comparison result and the historical window information, corresponding data frame receiving or filtering operation is executed, and the problems that the flow identification query efficiency is low, and the out-of-order redundant frame processing logic is not accurate are solved.

The invention provides an NFC (Near Field Communication) adaptive AI (Artificial Interaction) decision interactive terminal system and method, which adopts a cloud-side-end three-level architecture design to realize organic combination of data acquisition, local decision and cloud collaboration. The cloud service platform layer is responsible for user portrait construction, service strategy optimization and cross-scene data collaboration; the edge computing node layer realizes real-time decision response and equipment linkage control; and the terminal equipment layer completes user identity recognition, scene perception and feedback output. According to the system, rapid identity recognition and data interaction between devices are achieved through the NFC technology, and an interaction strategy is dynamically adjusted in combination with an AI algorithm: when a user carries the device to approach a terminal, an NFC radio frequency interface automatically recognizes the identity of the user and calls personalized data, and an AI decision engine generates an optimal interaction scheme based on historical behavior analysis; basic requirements of rapid identity recognition and data interaction are met, interaction strategies are dynamically adjusted through an AI algorithm, and intelligent, personalized and efficient interaction experience is provided.

An adaptive, encrypted data analysis system for cyber threats, consisting of: a secure data interface unit configured to receive cyber threat telemetry data originating from a variety of distributed computing resources, including network infrastructure devices, endpoint systems, cloud workloads, and application servers, wherein the received cyber threat telemetry data includes network interaction records, authentication activity data, process execution data, behavioral traces, and temporal event information, and wherein the cyber threat telemetry data is received in an encrypted state; a cryptographic coding unit that is operationally coupled with the secure data interface unit and is configured to transform the received encrypted cyber threat telemetry data into a variety of encrypted anomaly embedding representations by performing feature normalization, temporal alignment, and semantic coding operations prior to encryption, and is further configured to apply homomorphic encryption to generate ciphertext-based anomaly embeddings that preserve mathematical operability; a homomorphic anomaly inference processor that is operationally coupled with the cryptographic coding unit and is configured to perform encrypted analytical operations directly on the ciphertext-based anomaly embeddings, wherein the homomorphic anomaly inference processor is configured to compute encrypted deviation indicators that represent behavioral deviations from encrypted baseline profiles without performing any decryption at any stage of the computation; a first causal inference unit that is operationally coupled with the homomorphic anomaly inference processor and is configured to create encrypted local causal dependency representations by evaluating conditional relationships between encrypted anomaly embeddings corresponding to individual system components, user interactions, and execution contexts, thereby deriving causally attributable sources of detected anomalies; a second causal inference unit that is operationally coupled with the first causal inference unit and configured to aggregate encrypted local causal dependency representations across a variety of computing resources to derive encrypted global causal propagation representations that indicate coordinated or multi-stage cyber threat behavior spanning multiple system domains; an adaptive learning control unit operationally coupled with the cryptographic coding unit, the homomorphic anomaly detection processor, and the first and second causal inference units, wherein the adaptive learning control unit is configured to update encrypted baseline behavior profiles and encrypted causal dependency parameters based on validated threat findings while maintaining all learning operations within an encrypted computation domain; and a secure output control unit that is operationally coupled with the second causal inference unit and configured to generate cyber threat intelligence signals that include encrypted risk indicators, threat classification outputs, and response prioritization information, with the generated outputs excluding the disclosure of underlying plaintext cyber threat telemetry.

A method comprises providing first and second end systems sharing the same A619 origin and destination codes, wherein the first end system has a first A618 label / sublabel, and the second end system has a second A618 label / sublabel different from the first label / sublabel. When an uplink message is an A618 uplink with the first label / sublabel, the method sends an A619 uplink with A619 destination code via a first end system port. If an uplink message is an A618 uplink with the second label / sublabel, the method sends an A619 uplink with A619 destination code via a second end system port. When downlink message is received with the A619 origin code on the first end system port, the method sends an A618 downlink with the first label / sublabel. If downlink message is received with the A619 origin code on the second end system port, the method sends an A618 downlink with the second label / sublabel.

The application discloses a kind of gas combined cycle unit cold end system operation control method and system, with the lowest unit power generation of cold end system as optimization target, constructs the coupling strength of equipment is considered cold end system multi-objective collaborative optimization mathematical model, model is with equipment operation constraint, process index constraint, safety constraint and multi-device collaborative constraint as boundary condition, solves cold end system multi-objective collaborative optimization mathematical model using preset algorithm, output optimal operating state instruction and collaborative control strategy, according to optimal operating state instruction and collaborative control strategy to gas combined cycle unit cold end system is controlled, avoid the problem that other link energy consumption is caused by pursuing single index optimum and increases sharply, solve the technical problems that existing gas combined cycle unit cold end system operation control mode only focuses on condenser vacuum maximization, it is difficult to realize the comprehensive energy efficiency optimization and the lowest operating cost of entire cold end system even unit.

The application discloses a kind of dynamic rights allocation method, device and equipment based on user contribution value and medium.The method is captured by front-end system user interaction behavior event, is forwarded to B system event hub after being verified and enhanced by A system, then asynchronously is delivered to message queue and is handled.Consumption end calculates contribution value variation according to dynamically configured rule base table, supports positive and negative adjustment of civilization contribution value and platform contribution value.System uses MySQL and Redis double storage architecture, and guarantees data consistency under high concurrency by atomic operation.Based on formula β (i)=U (i) / (G (t)-G (0)) Real-time calculation user contribution proportion, provide proportion type rights release, ladder type ranking empowerment, threshold type screening incentive Three allocation strategies.Through event-driven architecture and cache consistency algorithm, millisecond-level contribution value update and second-level proportion accounting are realized.The application solves the problems of single contribution measurement mechanism, rights allocation rigidity and calculation performance bottleneck in traditional integral system.

The invention provides a road unmanned inspection system and inspection method based on multi-modal perception and a large model. The system comprises a vehicle end system used for multi-modal data acquisition, automatic driving control, real-time perception fusion and edge reasoning of a lightweight large model; the cloud platform is used for cross-modal depth identification, disease knowledge base management, GIS visual display, inspection task management and large model training iteration; the scheduling end is used for task issuing, result auditing, and visual interaction of human-aided decision making and road health assessment. On the basis of the three-layer architecture, a large model collaboration framework is further constructed, and the framework runs across a vehicle end, a cloud end and a scheduling end, is responsible for reasoning collaboration, intelligent supplementary shooting, task priority generation, structured report generation and interpretable reasoning chain construction of a multi-mode large model, and is a key mechanism for realizing closed-loop routing inspection of an intelligent collaboration system.