1432 results about "Serial code" patented technology

The invention relates to the technical field of data integrity protection, in particular to a property right registration core data security protection method based on a block chain technology, which comprises the following steps: acquiring an anchor point on an identity data generation chain, verifying a historical block to construct a topological structure, and matching a permission mapping field write-in path. And verifying the node permission and generating a data integrity verification report. According to the method, identity anchoring data is generated by binding a registrant identity credential with an address on a chain, structured identity mapping is realized, historical blocks form a logic closed loop through pointer and serial number verification, the integrity of data circulation is enhanced, a field access boundary is established by matching a field set with a node identifier through an authority level, and the accuracy of access control is enhanced. Field contents are written into nodes according to an addressing protocol and a distributed path index is generated, the flexibility and addressability of data positioning are improved, a verification link is fused with a certificate and an authority label to match and screen credible nodes, and integrated verification of path compliance and access security is realized.

The invention discloses a multi-agent interaction TOKEN compression strategy method and system based on LLMLINGUA, and belongs to the technical field of artificial intelligence and natural language processing. Aiming at the problems of high communication load and difficulty in semantic recovery caused by high-frequency interaction in a multi-agent system, the invention adopts the following technical scheme: inputting text data, and performing word segmentation and semantic analysis to form a low-dimensional semantic vector; dynamically selecting a compression strategy type according to semantic density and serial number density characteristics; the LLMlingua module is used for carrying out depth coding to generate a low-dimensional semantic identifier; storing the identifier in a dynamic reference library and distributing a unique reference code; reference codes and context information are transmitted among the intelligent agents; self-adaptive grouping is achieved through cosine similarity calculation, similar group debate is skipped, and debate between different groups is triggered; the modules are integrated to a multi-agent system. According to the method, the communication load and calculation overhead are remarkably reduced, semantic high-fidelity restoration is guaranteed, and the system response efficiency is improved.

The invention discloses a horizontal five-axis turning and milling composite center with a self-adaptive matching system. The horizontal five-axis turning and milling composite center comprises a tool turret, a boring tool mechanism, a tool changing area and a control system. A radio frequency identification reading device is arranged in a tool changing area of the tool turret and the boring tool mechanism, and an RFID chip tag is attached to the outer surface of each tool and used for storing tool serial numbers, specifications and length compensation parameters. And the control system realizes self-adaptive matching and sequential error correction of the cutter and the working procedure through radio frequency identification. The tool changing area is provided with a visual monitoring assembly which comprises a plurality of sets of industrial cameras, an adjustable light source and a structured light stripe illumination module and is used for detecting the clamping posture, the abrasion state and the type of a tool. The system has self-learning and digital twinning simulation functions, and can simulate the motion trail of the cutter and predict the interference risk before the cutter is changed. According to the method, integrated control over automatic tool recognition, posture correction, abrasion detection and path prediction is achieved, and the tool changing precision, the operation stability and the automation level of the horizontal five-axis turning and milling composite center are remarkably improved.

The embodiment of the invention provides a cross-network data exchange method, electronic equipment, a storage medium and a program product, and the method comprises the steps: receiving transmission data, determining the identification information of the transmission data according to the service identification, timestamp and segment sequence number of the transmission data, and determining the verification value according to the performance requirement, the security requirement and the data integrity; the hash algorithm is obtained by performing hash operation on the segmented data; according to the identification information, judging whether the transmission data is duplicated data or not; judging whether the transmission data is complete data or not according to the verification value; whether the transmission data is lost data or not is judged according to the segment serial number, if yes, a retransmission instruction is sent to the sending end equipment, the data segments which are repeatedly transmitted can be accurately recognized through the unique identification information, redundant storage and processing are avoided, the data repetition problem is solved from the source, then the integrity of the data is verified according to the verification value, and the data transmission efficiency is improved. And the lost data end is judged according to the segment sequence number, so that the problem of data loss is solved.

The invention relates to the technical field of sensors, and discloses a product counting method and system based on a production line, and the method comprises the steps: collecting an on-off signal when a target product passes through a sensor, building a sensor state array to record the on-off signal of the sensor, determining a sensor serial number corresponding to each sensor, and recording the on-off signal of the target product; and according to the sensor state array, judging whether each sensor sequentially acquires complete on-off signals according to the sensor serial number, when each sensor sequentially acquires the complete on-off signals according to the sensor serial number, determining that the target product is a single workpiece and counting, otherwise, detecting an abnormal sensor, and switching to a redundancy counting mode according to the abnormal sensor so as to count the target products. According to the invention, the method can improve the statistical counting precision of the production line, improves the anti-interference capability of the statistical counting of the production line, improves the counting stability, and reduces the maintenance and management cost of the production line.

The invention relates to the technical field of digital villages, in particular to a digital village construction business data analysis method and system, and the method comprises the following steps: obtaining a field detail comparison mapping role and a label, analyzing the field difference and relation to obtain a field reference set, recognizing the field sequence and relation to obtain a field path sequence column, and obtaining a field path sequence column; and extracting a time position matching stage transaction field processing fragment set, reading a position scanning number to obtain a behavior field structure list, and tracking a field line number extraction text to obtain a business data analysis field set. According to the method, semantic association is established by matching field text content, an attribution level is constructed, a circulation path is restored by relying on field positions, continuous fragments are divided by fusing time intervals and stage identifiers, a parallel advancing track is extracted according to a calling range and serial number arrangement, and context content is extracted by tracking field data lines. A data structure view capable of supporting cross-stage, multi-role and multi-context analysis is constructed, and the coverage range and organization ability of field behavior extraction are enhanced.

The invention discloses a communication network multi-source big data analysis method based on distributed database collaboration, and relates to the technical field of communication data analysis, and the method comprises the steps: 1, generating a session contract number, a table snapshot number, a flow site set and a transaction time point at the start of a session, registering a collaborative metadata table, judging semantic compatibility, and setting a state; step 2, pushing down three anchors to a lake-warehouse, a message bus and a transaction library according to the serial number, performing freezing reading according to the anchors to obtain a lake-warehouse segment, a streaming segment and a transaction segment, performing alignment extraction on a joint feature set in the step 3, generating output through a deterministic operator chain, and storing the extracted joint feature set in a database; the method comprises the following steps: step 1, setting a session contract number, a field source and an operator relationship, reading an anchor code as a blood relationship code and writing the blood relationship code into a result table, and step 2, resetting three anchors and multiplexing a query plan during reproduction verification and cross-domain migration, and integrating blood relationship equivalence, result equivalence, freezing consistency, registration difference and migration fingerprints to realize session-level consistent reading, recalculation and auditing.

The invention discloses an identification and verification method and system for a secondary drawing of a transformer substation, and belongs to the technical field of image identification, and the method specifically comprises the steps: analyzing a CAD vector diagram, obtaining four-corner references and pixel coordinates of a scanning graph, building initial mapping of pixels and engineering millimeter coordinates by taking an engineering millimeter coordinate system as a reference, and generating a unified intermediate representation model; constructing a terminal strip parameterization template based on the vector anchor point set and the visual anchor point set; a composite deformation field is calculated through vector-bitmap-vector closed-loop rendering calibration, terminal row alignment and terminal sequence binding are completed in the composite deformation field, and a terminal pixel position-terminal sequence-engineering millimeter coordinate consistent mapping table is formed; comparing the topological netlist to obtain an electrical node corresponding table; and performing source decomposition on the terminal position residual error based on the composite deformation field and generating a self-adaptive tolerance band, and finally executing wiring verification by taking the self-adaptive tolerance band, the electrical connectivity and the serial number consistency as criteria and outputting a verification report.

The invention relates to a data processing method and device, computer equipment, a computer readable storage medium and a computer program product. After first matrix data is obtained, tensor data to be processed are obtained, and the tensor data are distributed to a plurality of calculation units; calculating a local feature value corresponding to the target calculation unit according to the local tensor data allocated to the target calculation unit; dividing the target calculation unit into data blocks corresponding to the number of the plurality of calculation units; according to the serial number of the data block, mapping the local feature value recorded in each data block to a target storage block of a target memory until the local feature value in each calculation unit is distributed to the corresponding storage block in the target memory, and obtaining a global feature value table; according to the global feature value table, feature value calculation is carried out to determine the target feature value, conflict-free parallel calculation is achieved, the utilization rate of calculation resources is increased, and the data processing efficiency is improved.

The invention discloses a large file concurrent uploading method and system based on a dynamic fragmentation strategy and resource optimization, and the method comprises the steps: a client generates a file fingerprint according to the file size of a large file and metadata, and dynamically calculates the fragmentation size of the large file; the client carries out fragment cutting on the large file according to the calculated fragment size, establishes a concurrent uploading queue and uploads a plurality of fragments to a server side in parallel; the server selects an optimal storage node to store each fragment based on a consistent hash ring and a multi-dimensional weight model; the client side and the server side track a fragment uploading state through a fragment serial number and a cyclic redundancy check (CRC) value, and after all fragments are uploaded, integrity check and logic recombination are carried out; and when network interruption or uploading failure is detected, the client side and the server side execute an intelligent retry strategy or a splitting rescheduling strategy of breakpoint resume and failure fragmentation.

The invention discloses a data transmission method and computer equipment, and relates to the technical field of data transmission. The method comprises the following steps: acquiring a sending work request containing a local sending queue pair number and a work queue element; querying target sending information by taking a local sending queue number as an index; storing the working queue elements and the target sending information as operation contexts into an internal memory of a network card of a request end, and recording corresponding indexes; assembling a target data packet based on the target sending information and the memory index; receiving a feedback data packet of the target data packet and extracting a memory index and a serial number carried by the feedback data packet; if the feedback data packet is a correct confirmation data packet, judging that the sending of the work request is completed and releasing the context; and if the feedback data packet is a confirmation failure data packet, calculating a retransmission data initial address and organizing retransmission. The technical problem that the effective connection number of network cards is limited by hardware resources in the prior art is solved, and the technical effect of supporting large-scale network parallel communication is achieved.

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.

The invention relates to a low-orbit satellite short burst signal high-precision capturing method and device, equipment and a medium. The method comprises the following steps: sequentially carrying out digital down-conversion and L-time signal pseudo code rate down-sampling on a low earth orbit satellite short burst signal sequence sampled by an ADC (Analog to Digital Converter) to obtain a down-sampled signal sequence; performing pre-accumulation processing on the down-sampling signals of every adjacent L points in the down-sampling signal sequence, and performing coarse capture on the pre-accumulated signal sequence by adopting a PMF-FFT algorithm to obtain a coarse pseudo code phase and a coarse frequency offset value; and performing serial code phase search on the down-sampling signal sequence based on the coarse pseudo code phase and the coarse frequency offset value, optimizing to obtain a fine pseudo code phase, and optimizing the estimation precision of the coarse frequency offset value according to the fine pseudo code phase and a frequency offset estimation algorithm based on a phase relation to obtain a fine frequency offset value. By adopting the method, the acquisition precision and speed of the short burst signal of the low-orbit satellite can be improved.

The invention relates to a table information retrieval method and device, computer equipment and a storage medium. The method comprises the following steps: determining a table picture and a table title of a searchable table; based on the cue word template, according to the position information of the table link of the searchable table, the table title, the table abstract generation instruction and the table abstract specification, generating a table cue word; generating a table summary text according to the table prompt word, determining summary fragments, performing vectorization processing on the summary fragments, and determining summary text vectors; storing the table abstract text, a text identifier corresponding to the table abstract text, a link sequence number of a table link, a table picture address of the searchable table and an abstract text vector into a vector database; and obtaining an information retrieval request sent by a user, performing information retrieval on the vector database, and determining an information retrieval result corresponding to the information retrieval request. According to the scheme, the accuracy and integrity of information retrieval can be improved.

The invention discloses a chemical single line diagram material identification method, device and equipment and a storage medium, and the method comprises the steps: building a corresponding relation model of a serial number and a line spacing proportion value in a chemical single line diagram material table, and detecting a to-be-identified table according to the corresponding relation model; when it is detected that the serial numbers of the serial number columns of the to-be-recognized table are continuous and the line spacing is within a preset proportion range, corresponding multi-line information is merged; according to the method, the table auxiliary line of the to-be-recognized table is obtained, AI recognition is performed on the to-be-recognized table according to the table auxiliary line, and the recognition result is obtained, so that various material information in the chemical single line diagram can be accurately recognized, and compared with a traditional method, manual intervention is reduced, and the workload and error risk of manual processing are reduced; the method provides more efficient and accurate support for material information management in the chemical engineering design and construction process, has important practical application value and wide market prospect, and improves the speed and efficiency of chemical single line diagram material identification.

The invention provides an uninterrupted redundant communication method and system, equipment and a medium, and belongs to the technical field of vehicle-mounted network communication.The method comprises the steps that data frames from two communication paths are received through two network interfaces respectively, CRC verification is carried out, wrong data frames are discarded, and the data frames passing verification are obtained; extracting the serial number of each data frame passing the verification as a target serial number, and comparing the target serial number with an expected serial number; if the target serial number is equal to the expected serial number, submitting the data frame to an upper application, and adding 1 to the expected serial number; wherein the data frame is generated by adding a globally unique and monotonically increasing serial number to each key application data frame by the sending end processing unit. According to the invention, fault switching delay is eliminated fundamentally, zero switching time is realized, and a crucial communication guarantee is provided for automatic driving of L4 and above.

The invention relates to the technical field of data management, and discloses a multi-factor authentication and blockchain evidence storage data processing method and system, and the system comprises an identity authentication module which is used for carrying out the multi-factor identity verification, and writing a verification result and an authentication serial number into an authorization certificate; the authorization contract module is used for generating a block chain authorization contract according to user authorization and setting a state version number; the government affair data access module is used for reading government affair data through the government affair network integrated public data platform and adding a request signature generated based on an SM3 algorithm into a request; the block chain evidence storage module is used for performing same-rule uplink evidence storage on the authorization certificate and the calling log, generating an authorization abstract, calling the log and generating a log abstract; the consistency verification module is used for matching the authorization voucher with the call log; and the user authority management module is used for displaying an authorization state and executing modification or revocation operation. According to the invention, credible verification and dynamic management and control of the whole authorization process are realized, and the security of data sharing is improved.

The invention discloses a building block building information display method and device, terminal equipment and a storage medium. The method comprises the steps of labeling current building block model data; selecting a camera angle, and rendering the current building block model data to obtain a texture image conforming to a preset texture proportion; building block parts in the current building block model data are traversed, sorting is carried out according to the visual areas of the building block parts, and a part list is obtained; the serial number of the current building block building step is displayed on the serial number assembly of the UI interface, the marked current building block model data and background building block model data are displayed on the model assembly of the UI interface, and the part list is displayed on the part assembly of the UI interface. According to the method, the information required for building the building blocks and the building steps are visually displayed, and the problems that in a traditional building block guidance system, parts are difficult to search, the model view angle is poor, and UI layout is disordered are solved.

The invention relates to a network resource redistribution method, and belongs to the technical field of network switching. The method comprises the following steps: initializing system parameters; when entering a path maintenance period, setting a current path serial number, and entering a path of the current serial number; traversing all current paths generated based on the bisecting moth optimization method, and performing path maintenance on the current paths; the state of each node in the current path is checked, and if a failure node exists, a network resource scheduling method based on a bipartite moth optimization method is adopted to carry out failure node resource redistribution; checking the state of each link of the current path, if a failed link or a congested link exists, regarding the failed link or the congested link as the failed link, and performing failed link resource redistribution by adopting a network resource scheduling method based on a bipartite moth optimization method; and entering the circulation again until the system finishes working. The problem that local correction cannot be performed when the resource scheduling strategy fails is solved.

The invention relates to a data page recovery method and device, equipment, a medium and a product. The method comprises the steps that when it is detected that a current data page is a faulty data page, a corresponding relation associated with a data page identifier is searched for according to the data page identifier of the current data page; reading the address information and the log serial number of the historical version data page from the corresponding relation; and reading the historical version data page according to the address information, and recovering the current data page according to the historical version data page and the log serial number to obtain a target data page. By adopting the method, the recovery efficiency of the data page in a high-concurrency writing scene can be improved.

The invention discloses a server cipher machine communication method and system based on an RDMA technology. According to the method, physical direct connection between a device end and an agent end is achieved by establishing an RDMA reliable connection channel; bidirectional authentication is carried out based on an SPDM protocol; a random challenge is generated after the device side verifies a proxy side certificate, and key exchange is triggered after a proxy side private key signature response and the verification of the device side are passed; the two parties adopt an SM2 public key algorithm to generate a shared key and derive a session key KEK; the proxy end encrypts the request data by using the KEK, and writes the encrypted data into the SMZ secure memory of the equipment end through the RDMA Write; the equipment end processes data through a hardware password engine, and directly writes an additional timestamp, a serial number and a result packet of MAC authentication to an appointed address of the agent end through RDMAWrite; and when the communication is finished, the device end erases the key and resets the engine. According to the invention, the problems of large delay, low throughput, low security, large CPU occupancy rate and the like in the prior art can be solved.

The invention discloses a multi-brand and multi-model automatic identification control method and system for an intelligent fixed-line telephone, and belongs to the technical field of plug and play of communication peripherals. The method comprises the following steps: after a USB plugging event is detected, extracting multi-dimensional features such as a manufacturer ID, a product ID, a USB serial number and a user-defined identifier of a fixed-line telephone in sequence to form a multi-dimensional feature vector with clear priority; then, through a multi-stage progressive matching strategy of first-stage (VI + PID accurate matching)-second-stage (self-defined identifier supplementary matching)-third-stage (serial number + descriptor fuzzy matching)-second-stage (self-defined identifier supplementary matching)-third-stage (serial number + descriptor fuzzy matching)-second-stage (self-defined identifier supplementary matching)-second-stage (self-defined identifier fuzzy matching)-second-stage (self-defined identifier fuzzy matching)-second-stage (self-defined identifier fuzzy matching)-second-stage And aiming at the scene of feature missing or VAD / PID conflict, a fault-tolerant mechanism is built in the system: when the scene is missing, the universal DLL is used for reverse query confirmation and identification, and when the scene is conflict, candidate DLLs are cyclically loaded according to a brand market share sequence until the communication verification succeeds. The method is high in accuracy, multi-stage progressive matching and confidence evaluation are combined, and the error recognition rate is lower than 0.1%; zero sample online: the new type number can be connected for the first time to complete the adaptation in the second level, and manual maintenance is not needed.

The invention relates to the technical field of cloud fusion application operation support platforms, and discloses a session flow intelligent scheduling method under a fusion communication architecture, which comprises the following steps: monitoring a session flow logic sequence number of a current node; constructing an asynchronous mirror instance at the target node, and obtaining a computing power comparison parameter; adjusting an asynchronous mirror instance instruction execution rate to execute serial number chasing; after the sequence number difference value enters a synchronous threshold value, processor assembly line branch prediction data is injected, and instruction prefetching sequence filling is driven; according to the instruction level feature injection and execution phase alignment method, hardware execution momentum imbalance in a heterogeneous computing power environment is eliminated through instruction level feature injection and execution phase alignment, and progress connection and logic consistency of session streams at a migration interface are guaranteed.

The invention relates to an active sonar echo signal phase jump compensation method and device based on a synchronous serial number, and belongs to the technical field of underwater acoustic signal processing. The method comprises the following steps: adding a synchronous serial number into a wet end signal to form an expansion matrix; transmitting the extended signal to a signal processor and windowing the extended signal; traversing a synchronous serial number in the windowing signal, and detecting the continuity of the synchronous serial number to judge whether packet loss exists or not; if packet loss exists, positioning a packet loss position and performing zero padding operation; and finally, carrying out fast Fourier transform on the zero-filled signal to obtain a spectral analysis result. According to the method, accurate identification and phase compensation of the packet loss position are achieved through the synchronous serial number, the method is suitable for underwater acoustic single-frequency signals, and when the packet loss rate does not exceed 2.5%, spectrum sidelobes can be effectively restrained, and the peak value of the spectrum sidelobes is reduced to be within 10% of the packet loss state. The method has the advantages of being clear in principle, easy and convenient to operate and high in calculation efficiency, is suitable for real-time signal processing, and remarkably improves the reliability and efficiency of target detection.

Provided in the embodiments of the present disclosure are a chip management network configuration method, a chip management network system, a computing device, a storage medium and a computer program product, which are applied to a target chip. The target chip comprises a plurality of different types of chiplets, each chiplet containing one or more modules and being configured with a management network configuration serial number, and the management network configuration serial number being configured on the basis of the type of the chiplet and its encapsulation position in the target chip. The chip management network configuration method comprises: acquiring architecture information of the target chip, at least comprising the management network configuration serial numbers configured for the chiplets; on the basis of the architecture information of the target chip, dividing a preset address space into a plurality of sub-configuration spaces; and, on the basis of the management network configuration serial numbers, allocating corresponding sub-configuration spaces among the plurality of sub-configuration spaces to the target chip and each chiplet in the target chip, wherein the sub-configuration spaces allocated to the modules contained in each chiplet are different.

The invention provides a project cost intelligent auditing method and system based on artificial intelligence, and the method comprises the steps: carrying out the structural analysis and project item extraction of an original document related to the project cost, and forming a standardized project item structural unit set; based on the project item structure unit set, constructing a track chain of each project item in three key stages, namely a budgeting stage, a contract stage and a settlement stage, recording attribute state sequences of the track chain in different stages, and calculating a difference vector to represent the variation amplitude of a key field; performing abnormal behavior identification based on the trajectory chain, identifying a potential abnormal trajectory through a multi-dimensional abnormal scoring function combining numerical value change intensity and clause unit matching missing risk, and generating a structured interpretation prompt unit; and a unified explanation prompt structure is constructed according to the structured explanation prompt unit, and the explanation prompt structure summarizes the serial numbers of the abnormal items, the change fields and the clause missing rate to serve as a finally output structured audit result.

The embodiment of the invention provides a data breakpoint recovery method and device, a storage medium and a program product, and relates to the field of distribution. The method comprises the following steps: determining that transaction processing occurs, wherein the transaction processing is used for performing database increment change; generating a structured breakpoint identifier used for identifying the transaction processing position, wherein the structured breakpoint identifier comprises a transaction sequence number, a transaction fragment number and an offset in the fragment; the offset in the fragment is used for identifying the relative position of the SQL in the fragment; and determining the processing state of the message in the message queue based on the structured breakpoint identifier and the offset existing in the message queue. According to the method, the breakpoint recovery accuracy and the cross-platform compatibility are improved, and the processing efficiency and the system stability in a large-scale data synchronization scene are improved.

The present application belongs to the technical field of communications. Disclosed are data transmission methods, an apparatus, a terminal and a network side device. A data transmission method in the embodiments of the present application comprises: a terminal receives first configuration information from a network side device, the first configuration information being used for configuring a target protocol stack communication mode; and, in the target protocol stack communication mode, the terminal executes at least one of a first sending operation and a first receiving operation on the basis of a serial number (SN) of a data packet, the SN being used for a layer 2 (L2) processing operation, the L2 processing operation being a processing operation of the same L2 protocol layer of L2, the processing operation of the L2 protocol layer comprising at least two operation sets, and each operation set comprising at least one L2 operation.

The invention provides a logistics express sheet automatic identification and express sheet number extraction method based on rule configuration, and relates to the technical field of data processing, and the method comprises the steps: 1, carrying out the layout structure analysis and geometric correction of an input logistics express sheet image, calculating geometric correction parameters through evaluating the deformation degree of the image and combining the structural features of the logistics express sheet, and obtaining a logistics express sheet number; performing correction processing on the logistics express sheet image based on the geometric correction parameter to obtain a standardized image; and 2, performing optical character recognition processing on the standardized image, extracting all character information in the standardized image, performing word segmentation, entity recognition and semantic understanding on the recognized text by utilizing natural language processing, obtaining a key semantic unit, and organizing recognition results into a text data set. According to the invention, automatic identification and bill number extraction of the logistics bill are realized, and the logistics information processing efficiency and accuracy are improved.

The invention discloses an Internet of Vehicles resource scheduling method, device and system, and a storage medium, and the method comprises the steps: initializing the resource state information of each vehicle node according to the topological structure of each vehicle in the Internet of Vehicles; preheating the vehicle nodes through multi-round information exchange according to the resource state information of the vehicle nodes to obtain a spectrum resource allocation intermediate state under the current iteration; according to the vehicle node spectrum resource allocation intermediate state under the current iteration, the importance of each node in global resource allocation is evaluated, and a scheduling sequence of resource allocation is generated; and according to the scheduling sequence of resource allocation and the serial numbers of the nodes in the scheduling sequence, each vehicle node asynchronously executes spectrum resource allocation operation after receiving a completion signal of the node with the previous serial number, and outputs a resource scheduling result. By adopting the technical scheme of the invention, the interference management problem in resource allocation can be efficiently solved, and the performance of the whole system is optimized.