148 results about "State consistency" patented technology

The invention discloses a distribution cable branch box state monitoring method based on state recognition, and particularly relates to the technical field of power monitoring, and the method comprises the steps: collecting multi-dimensional operation data of a plurality of branch boxes in a continuous time period, and constructing a state evolution sequence; calculating a state offset score and an adjacent equipment state consistency score to judge whether an evaluation process is triggered or not; after triggering, constructing a state influence probability map, identifying an abnormal influence path, extracting a state disturbance diffusion index and a cooperative behavior deviation index, inputting into a pre-trained risk identification model, generating a risk level interval and a cause probability distribution vector, executing an influence regulation and control measure, and updating a state identification logic; according to the method, dynamic perception of the state of the branch box is realized by constructing a state evolution sequence, combined judgment of individual and group behaviors is realized by combining a state offset score and an adjacent equipment state consistency score, and a risk level interval and cause probability distribution vector are used for driving regulation and control strategies and map updating. And the monitoring precision and the self-adaptive capability of the system are improved.

The invention relates to the technical field of cloud computing, in particular to an intelligent capacity planning method and system in a hybrid cloud environment. According to the method and the system for intelligent capacity planning in the hybrid cloud environment, heterogeneous resources in a hybrid cloud are modeled by using a declarative description language, a dependency relationship among the resources is identified, and a directed acyclic graph (DAG) is constructed; the resource operation tasks are divided in batches, and the tasks without the dependency relationship are executed in parallel; synchronizing the running state of each resource in real time, and performing state consistency verification and abnormity marking; triggering a retry mechanism when an exception occurs; and after the resource arrangement process is completed, summarizing data in the whole process, and performing performance evaluation and strategy optimization on resource operation. According to the method and the system for intelligent capacity planning in the hybrid cloud environment, the use condition of resources can be monitored and analyzed in real time, the resource demand can be accurately predicted, a reasonable resource scheduling strategy can be generated, manual intervention is reduced, and elastic expansion and optimal configuration of cloud resources are realized.

The invention provides a power transformation equipment digital twinborn part time-varying consistency self-adaptive maintaining method and system, and relates to the technical field of power grids, and the method comprises the steps: collecting the real-time operation data of power transformation equipment, constructing a physical model, generating a digital twinborn model, and obtaining the initial state parameters of parts through deep learning training. And establishing a time-varying feature vector matrix based on the initial state parameters, performing real-time updating by using an adaptive Kalman filtering algorithm to obtain a dynamic feature model, and calculating a state deviation value of the digital twin component and the physical equipment. And when the deviation value exceeds a preset threshold value, triggering a self-adaptive consistency keeping mechanism, generating a state compensation parameter through deep reinforcement learning, applying the state compensation parameter to a digital twin model, and realizing dynamic synchronization of the digital twin component and the physical equipment. According to the invention, the state consistency of the digital twinning component and the physical equipment can be adaptively maintained, and the precision and reliability of digital twinning are improved.

The invention discloses a block chain fragment security expansion method of a trusted state synchronization chain, which realizes state consistency verification between fragments by constructing a Layer1 state synchronization chain, and adopts an unbiased random leader rotation mechanism based on a preorder block signature and an efficient two-stage submission protocol. Three rounds of communication of traditional BFT consensus are compressed into two rounds of parallel processing under a state fragmentation architecture, and a dynamic fragmentation recombination strategy and a state difference synchronization technology are combined, so that the core problems of throughput bottleneck, cross-fragmentation transaction atomicity, attack risk prediction by a leader, reduction of recombination efficiency and the like in a block chain fragmentation system are systematically solved; the parallel transaction processing is realized, the consensus time delay is reduced by 30%, the cross-fragment transaction verification efficiency is improved by 60%, the system throughput is linearly expanded along with the fragment number, and the system security is enhanced through a pledge economic model and a malicious node detection mechanism.

The invention discloses a campus intelligent terminal equipment management method and system based on multi-source state synchronization, and relates to the technical field of intelligent terminals. The campus intelligent terminal equipment management method and system based on multi-source state synchronization comprises the following steps: S1, a terminal cooperatively collects a context state data set, and normalization processing is carried out; s2, constructing a migration mirror image synchronization state data set, and carrying out migration handover of stage switching and playback; s3, constructing a pulse interference detection model, and performing interference window suppression and online correction; and S4, constructing a dual-time reference transaction consistency verification and migration submission determination closed loop, and carrying out linkage rollback and governance. According to the method, the state consistency and the operation stability in the cross-node migration process of the campus intelligent terminal are effectively improved, and the problem of pulse interference in equipment state migration is solved.

The invention discloses an industrial PCB cooperative control method based on open-source and Feiteng CPUs, particularly relates to the technical field of industrial automatic production line control, and is used for solving the problem that a quality control instruction and a board card physical flow in an existing PCB production line are difficult to accurately synchronize, so that an adjustment instruction is lagged or mistakenly acted. A unique identifier is generated for each printed circuit board, the position of each printed circuit board is tracked in real time, and when a board card enters a synchronous control area, a Feiteng CPU obtains the state of each execution device; selecting a data query strategy based on state consistency, and collecting node state feedback and quality data; according to the method, the consensus convergence rate and the phase-frequency characteristic distortion index of the system are calculated, the triggering time point of a control instruction is dynamically adjusted when the index is abnormal, and a correction instruction is sent to execution equipment through an open source gap distributed soft bus, so that high-precision cooperative control of the instruction and board card flow is realized, and the real-time performance and reliability of closed-loop quality control are improved.

The invention provides a main Monitor service pressure optimization method in a distributed storage cluster, and the method comprises the steps: S1, collecting the load state information of each Monitor node in real time through a monitoring module, and enabling the load state information to comprise the CPU utilization rate, the memory occupancy rate and the network bandwidth occupancy rate; s2, a load balancing module calculates the load weight of each Monitor node based on the load state information, and dynamically adjusts a message distribution strategy according to the load weight; s3, the multi-stage message distribution module distributes the state updating message to a plurality of Monitor nodes for parallel processing according to the message distribution strategy; and S4, the state synchronization module maintains the state consistency among the Monitor nodes through a consistency protocol, and regularly verifies the data version of each node. According to the main Monitor service pressure optimization method in the distributed storage cluster provided by the embodiment of the invention, the load pressure of the main Monitor node in the distributed storage upgrading process is effectively reduced, and the system message processing efficiency and stability are improved.

The invention relates to the technical field of distributed computing, and discloses a heavy truck charging load scheduling-oriented distributed energy intelligent matching method, which comprises the following steps of: establishing a charging service computing power mapping table at a scheduling node; maintaining a shadow counter in a local memory, extracting a pre-estimated computing power consumption value according to an event type and accumulating the pre-estimated computing power consumption value to the shadow counter, and executing linear numerical deduction on the shadow counter according to a reference logic subtraction rate so as to simulate a scheduling data throughput evolution process; adjusting a linear deduction rate parameter according to the deviation between the state feedback data and the numerical value of the shadow counter; and distributing the charging matching task to a charging station edge computing node of which the shadow counter value does not exceed a preset logic saturation threshold value. According to the invention, through an open-loop estimation and closed-loop calibration mechanism of a local logic state, an instantaneous congestion risk caused by physical feedback lag is eliminated; and logic state consistency and self-adaptive distribution of the whole network computing power resources are realized.

The invention relates to the technical field of electrical parameter measurement and power distribution automation monitoring, and discloses a method for verifying the consistency of the opening and closing states of a measurement switch. The method is used for solving the problem that a traditional method lacks an automatic identification and explainable checking mechanism for an electric parameter evidence validity condition. The method comprises the following steps: firstly, obtaining a measurement frame stream, an event frame stream and a topology configuration snapshot, and establishing and locking a parameter version verification session; voltage, current, zero-sequence measurement and action event time marks are aligned at the session time window, and the sampling quality grade, the event quality grade and missing information are solidified; obtaining an electric parameter evidence boundary and an access grade according to the measurement point position, the parallel shunting, the load type and the disturbance section; and checking the causal time sequence of the key event, processing the contradiction by judging the priority, outputting a structured verification record, writing back a parameter version according to an amplitude limiting rule, and completing the verification of the consistency of the switching-on and switching-off states under the complex working condition.

The invention relates to the technical field of power distribution terminals, and discloses a power distribution terminal automatic joint debugging function integrity and reliability test system, which comprises a co-simulation module for performing closed-loop coupling on a virtual power grid and a tested terminal through deterministic time control and generating a reproducible working condition; the scene arrangement module is used for realizing automatic switching and rollback of cross-domain scenes based on transactional snapshots; and the communication module is used for executing a consistency test on multiple protocols and injecting delay jitter, packet loss and clock drift. The functional integrity and reliability test system for the automatic joint debugging of the power distribution terminal aims to solve the problems of lack of deterministic time control of cross-domain cooperation and insufficient guarantee of state consistency in a digital twin test method. The problems that a test result cannot be reproduced, crosstalk misjudgment is caused by state non-atomicity consistency during multi-scene switching, and faults are difficult to reproduce due to lack of time determinacy replay capability are solved.

The invention provides a vehicle system upgrading method and device, computer equipment and a storage medium, and the method comprises the steps: creating a block chain block containing domain control upgrading information in response to a domain control upgrading instruction, and determining a to-be-upgraded domain control node; carrying out upgrading operation on the domain control node based on the domain control upgrading instruction to obtain an upgraded state parameter of the domain control node, and writing the upgraded state parameter into a block chain block; and verifying the upgraded state parameter based on the block chain block, if the upgraded state parameter of any domain control node is abnormal, performing version rollback on the domain control node, and writing a version rollback result into the block chain block. Based on the scheme, the state consistency, safety and traceability of the upgrading process of the multi-domain controller of the automatic driving vehicle are ensured, an automatic disaster recovery and rollback mechanism is provided, and the reliability and safety of the system are remarkably improved.

According to the multi-source heterogeneous data processing method provided by the invention, equipment data standardization is realized through an extensible protocol conversion module, a hybrid processing pipeline is constructed based on an Flink flow engine and a WarpStream component, state consistency is guaranteed through a Checkpoint mechanism, a dynamic parallelism degree adjustment strategy is adopted to cope with data flow fluctuation, and a multi-stage data fusion strategy is used in a hybrid manner, so that the multi-source heterogeneous data processing efficiency is improved. And deep mining and efficient processing of production data are realized, so that the data fusion error rate is reduced, and the abnormal detection omission ratio is reduced.

The invention provides a cross-chain payment state conflict solution method based on EMPT, relates to the field of financial cross-chain payment, and proposes that a cross-chain payment identifier cpID is used as a main index key of a constructed EMPT structure, the EMPT is used for managing all related states of the same cross-chain transaction and organizing the related states into a state sequence, legality verification is carried out on the states before the states are inserted, and the state sequence is stored in a database; and according to the cpID of the current state, finding a state sequence corresponding to the cpID to carry out conflict detection. The states are classified into a legal state, a recoverable error state and an unrecoverable error state, and are respectively stored in a correct state domain and an error state domain in the EMPT. In addition, the invention provides a node hash comparison synchronization strategy to ensure that the system can still efficiently achieve state consistency in a multi-chain asynchronous environment. Compared with the prior art, the method provided by the invention has stronger state tracking capability, conflict tolerance capability and consistency guarantee capability, and is suitable for cross-chain payment scenes such as financial payment and Internet of Things settlement under multi-chain collaboration.

The invention discloses an instruction following data screening method and device for a big language model illusion phenomenon, and relates to the field of artificial intelligence. The method comprises the steps that for any instruction, replies corresponding to the instruction are extracted to obtain a reply set; detecting semantic consistency of replies in the reply set to obtain a semantic consistency detection score in the embedded space; clustering replies in the reply set to obtain semantic clusters, and after semantic equivalence detection is performed on a target reply corresponding to the any instruction and the replies in the reply set, determining a target semantic cluster to which the target reply belongs; determining a second score based on the number of the replies generated in the target semantic cluster and the number of all the generated replies; and screening instruction following data corresponding to any instruction based on the semantic consistency detection score and the second score. The instruction following data is screened through internal state consistency detection and semantic equivalence detection, and the screened high-quality instruction following data is obtained.

The invention provides a multi-type storage cluster dynamic nano-management method based on a cloud platform, and belongs to the technical field of cloud platform storage resource management, a storage pool is used as a minimum management unit, a configuration center provides a unified nano-management entrance and is associated with a platform initialization process, and initialization of standardized parameters such as a storage cluster IP, an account and the like is automatically completed; after management, block storage, file storage or object storage types and exclusive parameters thereof are configured for the storage pool according to business requirements, and available storage pools are screened according to binding relations when storage services are created, so that resource mismatching is avoided. Bidirectional synchronization is carried out between the operation and maintenance resource management module and the storage module through a full life cycle by using an equipment SN number, so that state consistency and traceability are realized; expansion of newly added storage pools, unbinding of the storage pools and resource recovery are supported, and the resource utilization rate and the operation and maintenance efficiency are improved.

The invention relates to a high-performance low-power-consumption anti-radiation latch capable of tolerating three-node upset, which preserves an original high-performance low-power-consumption anti-radiation latch structure capable of tolerating double-node upset and inherits the capability of tolerating single-node upset and double-node upset of an original circuit. Two extra redundant nodes are introduced and form an interlocking monitoring network with the original nodes through a three-input C unit; a TNU detection and recovery module composed of two three-input C units is additionally arranged outside an original DNU feedback loop, the module continuously monitors the state consistency of a key node group, when errors of three or more nodes are detected, redundant nodes are started for state reconstruction, and a correct value is output through a voting mechanism. According to the invention, the fault-tolerant capability of the latch is comprehensively improved from DNU to TNU under extremely low extra overhead, and meanwhile, the excellent characteristics of low power consumption and high performance of the latch are maintained, so that the ultimate requirements of modern aerospace and other severe radiation environments on the reliability of an integrated circuit are met.

The invention discloses an automatic security vulnerability detection method and system for rail transit signal system equipment, and the method comprises the steps: carrying out the unpacking and analysis of firmware of to-be-detected rail transit signal system equipment, so as to recognize a target file in the firmware; performing security attribute verification on the target file based on a preset rail transit security attribute rule base, including performing state consistency verification on a plurality of associated parameters in the control logic to identify security vulnerabilities caused by state conflicts; performing time sequence attribute verification on the time sequence sensitive security operation to identify security vulnerabilities caused by violation of the real-time constraint; and performing risk assessment and outputting a vulnerability detection result based on a security attribute verification result. Compared with the prior art, the method has the advantages that the formal rail transit safety attribute rule base is constructed, state consistency verification and time sequence attribute verification are carried out on the control logic in the equipment firmware at the same time, and automatic mining and risk assessment of deep business logic vulnerabilities are achieved.

The invention belongs to the technical field of data processing, and discloses a data batch processing method, device and equipment and a storage medium, and the batch processing method comprises the steps: obtaining all tasks classified into a preset target category, and forming a target task set; setting target identification information corresponding to the target category, and associating the target identification information to each task in the target task set; submitting each task in the target task set to a thread pool; for a target task in the target task set, after the target task is successfully submitted to the thread pool, obtaining a task tracking object corresponding to the target task; and when the execution state of the target task determined according to the task tracking object is execution abnormity, performing rollback on each task in all the target task sets corresponding to the target identification information. The method can be applied to business management systems of financial science and technology, medical health and the like, and solves the technical problem that high batch task processing efficiency and state consistency cannot be ensured at the same time.

The invention relates to the technical field of geographic information management, in particular to an automatic control system and method for approval of an integrated construction land. The method comprises the following steps: obtaining construction land state index data, and taking state indexes in the construction land state index data as nodes and taking a conversion relation between states as edges, thereby obtaining a state conversion map; state tracking based on a time sequence is carried out on pre-obtained land state historical data, and state conversion path mapping is carried out according to the state conversion map to obtain state conversion path data; performing evolution trend prediction on the state conversion path data to obtain state evolution prediction data; and initializing the semantic network by using the node and edge relationship in the state transition map to obtain the land state semantic network. According to the method, the consistency and the traceability of the approval process are ensured through automatic state consistency rule check.

The invention relates to the technical field of tourism information services, and particularly discloses a tourism card dynamic authorization management system and method based on multistage proxy distribution, and the method comprises the steps: building a proxy node network with a hierarchical association relationship, and creating a dynamic state machine containing a state identifier, a node attribution and an operation authority set for each tourism card; verifying the operation authority in real time based on the state machine and the authority set and generating a state conversion instruction; executing state conversion through a transactional mechanism and generating an instruction log with a time sequence mark; transmitting the log to a central server by adopting an asynchronous transmission mechanism; and finally, conflict detection is carried out based on time sequence marks, and state consistency synchronization among distributed nodes is realized by operating a sequence state fusion algorithm.

The invention provides a Xiaohua chicken traceability method and system based on a block chain, and the method comprises the steps: generating a root public parameter and a root verification key through credible setting, generating an independent sub-proof key for each node from breeding to selling through a hierarchical key derivation function based on a traceability hierarchical structure, encoding the acquired multi-modal traceability data into private input of the zero-knowledge proof circuit; selecting a corresponding rule circuit from a predefined circuit library, and splitting a data source party; each data party generates a zero-knowledge proof fragment by using a sub-proof key and a blinding factor, and after a main node verifies public state consistency and blinding factor constraint through a recursive aggregation algorithm, an aggregation proof is generated; the common input comprises a new state commitment generated by a cryptographic accumulator, and continuous updating of the state is realized; and verifying the aggregation certification by using the root verification key, and storing the certification abstract passing the verification in the block chain. According to the invention, cross-link data privacy protection and verifiable chain type tracing can be realized.

The invention belongs to the technical field of artificial intelligence, and provides a digital twinning construction system and method based on artificial intelligence, and the method comprises the steps: constructing a digital twinning model of physical equipment, collecting the original sensor data of the physical equipment, inputting the original sensor data into the digital twinning model, and outputting the virtual state parameters of the physical equipment; on the basis of the virtual state parameters of the physical equipment and in combination with the actual operation parameters of the physical equipment, carrying out virtual and real arbitration on the constructed digital twin model, and judging the consistency of the virtual and real states of the digital twin model and the physical equipment; if the consistency of the virtual state and the real state is low, the drifting degree of the original sensor data is assessed, the problem of model failure caused by sensor drifting is effectively solved, and the accuracy of data correction, the continuity of model operation and the safety of service application are considered; and the stability and the practical value of the digital twin technology in key scenes such as industrial equipment monitoring and fault early warning are further improved.

The invention relates to the technical field of Internet of Things communication, discloses an Internet of Things multi-Android client state synchronization method, and solves the problems of poor state consistency, high back-end dependence, large delay and insufficient compatibility in the prior art. According to the scheme, the method comprises the steps that after a client completes initialization, MQTT connection with a rear end is established, an MQTT state message pushed by the rear end is monitored, after the message is received, equipment state information is obtained through analysis, local state cache and a UI interface are updated, meanwhile, the client serves as a distribution node, a UDP synchronization message containing the equipment state and the IP of the distribution node is established, and the UDP synchronization message is sent to the client. The UDP synchronization message is broadcasted to the local area network, other clients in the local area network receive the UDP synchronization message and then verify whether the distribution node IP is the client in the local area network, if the verification is passed, the message is analyzed, the state updating timestamp and the local cache timestamp are compared, and the local state cache and the UI interface are updated only when the state updating timestamp is larger.

The invention provides a PDE multi-agent cooperative control method and device based on dynamic event triggering, and relates to the technical field of automatic control. The method comprises the following steps: modeling a multi-agent system, and obtaining a collaborative consistency target of the multi-agent system to obtain a state consistency error; defining a control target of the multi-agent system to obtain a boundary control protocol; and according to a modeling result and a boundary control protocol, obtaining a dynamic event triggering mechanism of any agent and an updating rate of dynamic auxiliary parameters, and realizing multi-agent collaborative formation control. According to the method, the DETM and the PDE model are deeply fused, the system state error is fused into the DETM mechanism, and the inherent contradiction between resource consumption and formation control precision in the existing method is effectively overcome, so that the system communication and calculation overhead is remarkably reduced, and the accuracy and the overall stability of the multi-agent system formation are ensured.

Embodiments of the present application provide a service switching method, an electronic device, a storage medium and a program product. The method comprises: marking a first logical service as an exit state, and intercepting a new task request; initializing a second logical service; performing type division processing on resources corresponding to the first logical service through the second logical service to obtain no-overwrite resources and overwrite resources; and performing differentiated resource consistency processing on the no-overwrite resources and the overwrite resources through the second logical service, and receiving the new task request, which can shorten the logical service instance switching waiting time, reduce the resource occupation of the old node in the exit phase, improve the overall resource utilization of the system, and maintain resource state consistency and business continuity in the high-concurrency write, complex metadata adjustment and shared resource concurrent access scenarios.

The invention discloses an elevator running state pre-maintenance method and system, and relates to the technical field of elevator intelligent monitoring. Comprising the steps that a sensor is installed in an elevator, operation data of the elevator in the no-load state and the load state are collected in real time, and the acceleration stage and the deceleration stage are separated. Performing feature extraction and consistency analysis on the no-load and load operation data to obtain a no-load state consistency coefficient, a no-load acceleration consistency coefficient, a no-load deceleration consistency coefficient and a load regulation and control ratio; carrying out weighted fusion on the multiple types of indexes to obtain a pre-maintenance execution coefficient, and comparing the pre-maintenance execution coefficient with a set threshold to trigger a pre-maintenance prompt; further extracting sensor data in a target operation time period, positioning abnormal data points, and realizing automatic pre-maintenance operation in combination with an elevator structure mapping relation; if the abnormity is continuous, a manual maintenance prompt is sent out; real-time monitoring, early warning and closed-loop verification of the running state of the elevator are achieved, and safety and reliability of running of the elevator are improved.

The application discloses a man-machine cooperation task scheduling, queue management and dynamic correction method and system, the method constructs task step dependency relationship and execution attribute information, generates an initial scheduling result, and writes the result into a unified task queue as a single fact source in an execution phase; in the task execution process, task state and time information are updated based on step result confirmation information, and dynamic timing correction is performed on subsequent to-be-executed tasks; when execution deviation meets a preset condition, completed steps and in-flight steps are locked, and the remaining tasks are rescheduled. The application is suitable for a task scene with man-machine heterogeneous execution and execution uncertainty, such as a laboratory, generates an initial scheduling result, dynamically corrects subsequent tasks after step result confirmation, and reschedules the remaining tasks, forms a complete execution closed loop, and solves the problems that the prior art lacks unified execution state management, and it is difficult to maintain task timing continuity and state consistency after execution deviation.

The invention relates to the technical field of industrial internet-of-things automatic control, and discloses an actuator internet-of-things multi-protocol adaptation system and method.The method comprises the steps that a protocol module constructs a state machine model for each protocol adapter, cross-protocol state collaboration and abnormal event release are achieved through tense logic rule verification, and a resource module receives abnormal events and sends the abnormal events to a server; the method comprises the following steps: dynamically updating a global resource constraint graph, analyzing an optimal resource reallocation scheme and an atomic task sequence, deconstructing the task sequence into a pi-calculation concurrent process network by applying a reconstruction module, recombining the process network and mapping the recombined process network into a cross-protocol instruction set to drive an executor, and finally, executing the Pi-calculation concurrent process network. Full-link adaptation from protocol layer state consistency guarantee and resource layer dynamic optimization scheduling to application layer process flexible reconstruction is realized, and the reliability and response efficiency of a multi-protocol actuator system in a complex industrial environment are improved.

The invention relates to the technical field of data transmission, and particularly provides a streaming Token double-path transmission method, system and device and a storage medium, and the method comprises the steps: responding to a streaming request, completing the initialization of a system and a session, building a bypass channel from a model to a client, and creating a session context in a control flow engine; identifying the type of each Token generated by the model, and shunting according to the type: data Token routing to a bypass channel and control Token routing to a control flow path processed by a control flow engine; data bypass transmission and control flow service processing are executed in parallel, and the states of the data bypass transmission and the control flow service processing are ensured to be consistent through a state synchronization mechanism; and the dual-path operation state is continuously monitored, and dynamic path adjustment or abnormity recovery is carried out when abnormity is detected. According to the method, the data flow and the control flow are decoupled, so that the transmission delay of the streaming Token is remarkably reduced while the state consistency is ensured.

The application provides a data access security verification method, comprising: obtaining multi-dimensional feature data of an access request, performing cleaning and formatting processing on the feature data to obtain a standardized feature data set; if an abnormal pattern is detected, marking as a suspected fake request record; for the suspected fake request record, collecting state information of each node in the propagation path to obtain a state information set; according to the state information set, analyzing the state consistency of the suspected fake request record at each node to determine whether there is a suspicion of a fake behavior; if it is determined that there is a suspicion of a fake behavior, generating a corresponding abnormal report; according to the abnormal report, determining the specific node position where the abnormality occurs, obtaining the propagation trajectory data of the related node, and generating a trajectory log file; and according to the final detection report, updating a feature database and optimizing the classification model.