825 results about "Reliable transmission" patented technology

The dynamic bandwidth allocation and resource scheduling method based on the 5G network comprises the steps that S1, a base station collects service requests, network loads and channel information of user equipment of the 5G network, and the services are divided into real-time services, big data services, key services and conventional services; s2, the real-time service calculates the bandwidth by using deep learning; the big data service is distributed according to the idle bandwidth and the data volume proportion; key service main and standby links distribute bandwidths; conventional businesses come first and then are subjected to service distribution; s3, the base station maps bandwidth resources by using a multi-carrier and dynamic subcarrier algorithm, and optimizes signal transmission in combination with a beam forming technology; s4, processing service data according to a priority scheduling queue, and verifying signal transmission according to a channel quality adjustment coding mode; and S5, updating the data and evaluating the effect according to the user feedback, and re-optimizing the scheduling strategy as required. Through intelligent dynamic bandwidth allocation and resource scheduling, efficient, flexible and reliable transmission of different types of services is realized, and the network resource utilization rate and the service quality are improved.

The invention provides an intelligent fire-fighting equipment self-inspection and fault early warning system based on an AI algorithm. The intelligent fire-fighting equipment self-inspection and fault early warning system comprises a sensing layer used for integrating a multi-source heterogeneous sensing unit; the edge layer is used for deploying intelligent preprocessing nodes; the transmission layer is used for constructing a safe and reliable transmission channel; the platform layer is used for establishing an intelligent analysis center; the application layer is used for providing intelligent decision service; and the five layers of architectures work cooperatively. According to the invention, full-dimension monitoring of fire-fighting equipment is realized through a multi-physics field cooperative sensing framework of a sensing layer, and the fault detection capability is remarkably improved. The multi-source heterogeneous sensing unit integrated in the sensing layer can capture various physical quantity information such as acoustics, vibration and thermal fields at the same time, information of different physical fields is complementarily enhanced through a cross-domain feature complementation enhancement mechanism, and more comprehensive equipment state features are obtained. In particular, the sensor self-adaptive excitation technology dynamically adjusts the excitation energy of the sensor according to the environmental interference degree, and ensures that high-quality signals can be obtained under different working conditions.

The invention relates to the technical field of data transmission, and discloses an intelligent flight data transmission method and system based on satellite communication and a storage medium. The method comprises the following steps: carrying out real-time data acquisition and calculation on signal strength, bandwidth, delay and packet loss probability of an available satellite communication link to obtain a real-time link parameter table and a transmission channel allocation sequence; based on the real-time link parameter table, according to the priority information of the encrypted data packet queue and the transmission channel distribution sequence, performing multi-channel distribution and parallel transmission processing on the data packet to be transmitted to obtain a data packet transmission record; and carrying out statistical analysis and parameter calculation on the transmission success rate, delay time and retransmission times in the data packet transmission record to obtain transmission quality data and a system optimization parameter set. Under the condition of limited satellite communication resources, intelligent hierarchical transmission of flight data is realized, timely and reliable transmission of important data is ensured, and meanwhile, a real-time monitoring and optimization mechanism for data transmission quality is provided.

The invention discloses an intelligent management method and system for port and navigation Internet of Things data, and the method comprises the steps: generating a standardized data flow through a multi-modal data fusion model according to the heterogeneous features of ship navigation data, port equipment operation data and cargo information; generating an anti-interference transmission channel based on the standardized data stream; according to the real-time data received by the anti-interference transmission channel, dynamically generating a tamper-proof storage index through a trusted execution environment; extracting multi-source data based on the storage index, and generating a ship arrival time prediction model and a port resource scheduling strategy; and according to the port resource scheduling strategy, constructing a cross-department data sharing network through a federated learning framework and a zero-knowledge proof protocol, and generating a verifiable shared data set. According to the embodiment of the invention, port and navigation Internet of Things data management with reliable transmission, safe storage and collaborative intelligence can be realized, and the data management efficiency is improved.

The invention relates to the technical field of abnormal monitoring of water-turbine generator sets, in particular to an abnormal monitoring system and method for a water-turbine generator set, and the system comprises a sensor module, an edge computing node, a cloud analysis platform and a scheduling decision center. The edge computing node performs data preprocessing, the cloud analysis platform realizes accurate early warning by applying technologies such as multi-source data fusion, a dynamic early warning model library and adaptive threshold adjustment, the scheduling decision center optimizes scheduling decisions through a resource matching engine and an emergency plan generation module, and the industrial communication network guarantees reliable transmission of data. In addition, the system is also provided with a visual interaction interface and a state evaluation report generation module. According to the invention, comprehensive and accurate monitoring and intelligent early warning of the water-turbine generator set are realized, the fault processing efficiency is effectively improved, the probability of false alarm and missing alarm is reduced, resource allocation is optimized, the operation safety is enhanced, and a powerful guarantee is provided for stable operation of the water-turbine generator set.

The invention discloses a bridge pile foundation stress nondestructive testing method and system, the system comprises a sensor arrangement module, a data acquisition module, a data transmission module, a data processing module, a data analysis module, a result display and early warning module, a calibration module, a verification module and the like, sensors are various in type and high in precision, data acquisition multichannel synchronization is realized, and transmission is stable and reliable. Various technologies are used for data processing to construct a model, and a result is visually displayed and pre-warned. The system is further provided with an environment monitoring and structure health assessment module, comprehensive and accurate detection is guaranteed through an innovative formula and method, and efficient operation of the system is guaranteed through cooperative work of all modules. Through multi-module cooperation and innovative design, bridge pile foundation stress high-precision detection, environmental factor analysis and structure health assessment are achieved. Early warning can be carried out in time, bridge safety is guaranteed, a scientific basis is provided for maintenance management, and the reliability and safety of bridge operation are improved.

The invention relates to the technical field of nuclear power plant equipment inspection and data transmission management, and provides a nuclear power plant equipment inspection data transmission management method and system. According to an existing nuclear power plant equipment inspection system, reliable transmission and intelligent processing of data are difficult to achieve in complex high-radiation, high-humidity and strong-electromagnetic-interference environments, the data are prone to interference in the inspection process, and the fault detection precision is insufficient. The device state information is dynamically collected in real time through the multi-modal data collection technology, the sampling frequency is adjusted according to the environment change through the fuzzy logic control algorithm, and the timeliness and accuracy of data are improved. After data preprocessing, high-dimensional fusion and feature extraction of multi-modal data are realized through a Bayesian network and a deep neural network (DNN). The system realizes intelligent inspection and data transmission management of nuclear power plant equipment in a high-interference environment, has high reliability and real-time adaptability, and can be widely applied to an intelligent safety inspection system of a nuclear power plant.

Methods, apparatus, and systems are disclosed. One method includes the WTRU receiving a first Physical Downlink Shared Channel (PDSCH) associated with a first type of service or priority level in a first slot or mini slot and a second PDSCH associated with a second type of service or priority level in a second slot or mini-slot and determining a first HARQ codebook acknowledgment index (HCAI) based on a property of the first PDSCH or control information associated with the first PDSCH and a second HCAI based on a property of the second PDSCH or control information associated with the second PDSCH. The method includes generating for a subsequent slot or mini-slot, a first Physical Uplink Control Channel (PUCCH) including first HARQ-ACK information in accordance with the first HCAI and a second PUCCH including second HARQ-ACK information in accordance with the second HCAI and transmitting the first and second PUCCHs.

The invention relates to the field of aerospace data transmission and monitoring, and discloses a carrier rocket power supply data transmission and monitoring method and device and a storage medium, and the method comprises the following steps: obtaining historical data for analyzing a network state, and predicting network transmission abnormality based on a long short-term memory network model; dynamically adjusting a threshold value through a sliding window, and triggering an abnormal response mechanism; a reliability enhancement mechanism is adopted, data transmission is optimized through a TCP exponential backoff algorithm and a UDP redundancy coding technology, and data loss and retransmission are reduced; a Q-Learning algorithm in reinforcement learning is utilized to dynamically adjust transmission parameters according to a network state, the transmission parameters comprise a window size, a retransmission interval and a data packet size, and self-adaptive optimization is realized. The method is suitable for reliable transmission of key data and instructions in launch tasks of carrier rockets, and can be widely applied to data monitoring of spaceflight launch, high-concurrency network transmission and complex scenes.

The invention discloses an intelligent online monitoring device for a transformer, and relates to the technical field of transformers. The intelligent on-line monitoring device for the transformer comprises a front-end acquisition layer, a data transmission layer, a data processing and analysis layer, a cloud monitoring and management layer and an emergency response layer, through the deployment of the high-precision sensor network and the edge computing nodes, the system can accurately collect and process the operation data of the transformer in real time, and the monitoring accuracy and efficiency are improved. And secondly, the data transmission layer adopts a self-adaptive communication protocol and a data encryption technology, so that real-time and reliable transmission and security protection of the data are ensured, and meanwhile, traceability and tampering prevention of the data are realized by utilizing a block chain technology. In the data processing and analysis layer, the system realizes intelligent early warning and continuous optimization of transformer data through an integrated learning and deep learning model, and improves the accuracy and reliability of early warning. And the emergency response layer is arranged, so that the system can quickly respond to faults.

The invention relates to the technical field of industrial Internet of Things, and discloses a low-delay industrial Internet of Things data transmission system based on a 5G network. The system comprises a plurality of functional modules such as a data acquisition module, a data preprocessing module, a network transmission optimization module and a congestion control module. The data acquisition module acquires a heterogeneous data set, the preprocessing module performs standardization processing, the network transmission optimization module selects an optimal channel and node, and the congestion control module predicts flow and adjusts a transmission strategy. In addition, the system also has the functions of security encryption, heterogeneous data synchronization, dynamic spectrum allocation and the like. Through cooperative work of the modules, the system realizes low-delay and high-reliability transmission of industrial Internet of Things data, effectively processes heterogeneous data, guarantees data security, improves spectrum utilization efficiency and energy efficiency, enhances fault tolerance and compatibility of the system, and is suitable for various industrial scenes.

The invention belongs to the technical field of Internet of Things, and discloses an IOT data acquisition method, device and system and a medium, and the method comprises the steps that a data acquisition module acquires multi-source heterogeneous data from hardware equipment, and transmits the acquired multi-source heterogeneous data to a data format conversion module; a data format conversion module converts the multi-source heterogeneous data into a uniform data format which can be identified by an Internet of Things platform; according to results of data acquisition and data format conversion, the abnormal data processing module is responsible for processing abnormal data occurring in the process of data acquisition and data format conversion; and the data reliable transmission module is responsible for transmitting the converted data from the Internet of Things platform to the user side. According to the invention, efficient, accurate and reliable transmission of hardware equipment data to the Internet of Things platform is realized, and the problems of incompatible data formats, low data acquisition efficiency, insufficient abnormal data processing capability, unreliable data transmission and the like are solved.

The invention relates to the technical field of network monitoring, in particular to a method for constructing a dynamic self-adaptive alarm monitoring network based on LoRa and Ad-hoc ad hoc network technology, which comprises the following steps: (1) integrating a dynamic Ad-hoc ad hoc network routing protocol on each LoRa node, so that each node can automatically discover neighbor nodes, establish and maintain a dynamic routing table, and automatically discover the neighbor nodes; a non-centralized network architecture is realized; (2) through a multi-hop communication mode, the alarm information can be flexibly transmitted among the nodes, the coverage range of the network is expanded, and the system adapts to a complex geographical environment; and (3) by utilizing the characteristics of low power consumption and long-distance transmission of the LoRa technology, stable communication between the nodes in a large range is ensured, meanwhile, the energy consumption is reduced, and the working life of the nodes is prolonged. Through the dynamic self-adaptive Ad-hoc routing protocol, the network can automatically adjust the routing according to the node state and the environment change, the dynamic change of the network topology is adapted, and the reliable transmission of the alarm information is ensured.

The invention provides a remote intelligent lock control method based on a cloud platform, and relates to the technical field of artificial intelligence, and the method comprises the steps that the cloud platform issues a sound wave signal emission instruction to a target intelligent lock, and triggers the intelligent lock to send multi-band sound wave signals to a preset auxiliary signal enhancement device deployment position A and a preset auxiliary signal enhancement device deployment position B; and the cloud platform receives sound wave feedback signals returned by the position A and the position B, calculates a final communication path based on signal propagation time delay, frequency band interference intensity and attenuation parameters in combination with a real-time signal quality index reported by the remote communication module, and sends a dynamic encryption instruction to the remote communication module through the final communication path. According to the method, the optimal transmission path is dynamically calculated, the traditional single channel transmission limitation is broken through, reliable transmission of the control instruction can still be guaranteed in a complex electromagnetic environment or an obstacle shielding scene, and the communication interruption rate is reduced.

The invention relates to the technical field of wireless communication, in particular to a production line wireless communication system and method. The system comprises a multi-dimensional feature sensing module, an interference intelligent cognition and decision-making module, a communication opportunity decision-making module and a channel resource arrangement module. An expected action sequence, transient current features and spatial position topology of an interference source are collected through a multi-dimensional feature sensing module, and an interference source multi-dimensional feature set is generated through fusion; the interference intelligent cognition and decision-making module performs space-time spectrum joint modeling of an interference field based on the feature set, generates a workshop electromagnetic environment situation map, constructs a whole network link toughness map in parallel, and generates a conflict-free communication scheduling table through fusion analysis and multi-dimensional cost optimization; the communication opportunity decision module converts the dispatch table into an executable instruction; and the channel resource arrangement module executes the instruction and realizes closed-loop feedback. According to the method, the problem of communication uncertainty caused by industrial electromagnetic interference is solved, and reliable transmission of key services such as automatic guided vehicle scheduling and man-machine interaction is ensured.

The invention relates to the technical field of wireless communication, and discloses a communication equipment command and dispatch system based on artificial intelligence, the system maps the state of communication equipment into a standardized carrier phase disturbance mode, and after the disturbance mode is adaptively adjusted in combination with channel noise perception and conflict arbitration logic, the communication equipment is commanded and dispatched. Controlling the radio frequency front end to carry out injection; the adjacent communication equipment directly detects the disturbance mode to trigger the cooperative scheduling action by monitoring the physical error signal of the carrier synchronization loop of the adjacent communication equipment, and the implicit cooperative mode based on the physical layer beacon is constructed, so that the complex high-level signaling interaction required by the traditional scheduling is avoided, and the scheduling efficiency is improved. According to the method, the millisecond level, determined by a software protocol, of the collaborative response time between the devices is substituted into the microsecond level determined by the hardware physical layer response entscheid, the system can still maintain reliable transmission of scheduling instructions when facing high-density concurrent conflicts and strong channel noise, and a technical implementation path is provided for ultra-low-delay and high-reliability communication.

The invention discloses a Beidou short message data transmission method and system based on subpackage and account checking, and relates to the technical field of data processing, and the method comprises the steps: obtaining a limited transmission length and a packet header length, obtaining a quality factor, and obtaining an effective load capacity; obtaining original data, obtaining data length, obtaining the number of subpackages, and obtaining subpackage serial numbers with the same number; dividing the data packets into a plurality of data packets, the number of which is equal to the number of sub-packets, and associating the plurality of data packets with the plurality of sub-packet sequences respectively to generate sub-packets to be sent; the sub-packets to be sent are sequentially transmitted to a receiving end, an account checking request is sent to the receiving end after transmission is completed, the sub-packet sequences in the multiple sub-packets to be sent are checked after the account checking request is obtained at the receiving end, a processing strategy is generated according to the sub-packet sequence checking result, and the processing strategy is used for supplementary transmission. The processing strategy is also used for correcting and iterating the original quality factor. The method has the advantages of dynamic self-adaption, efficient and reliable transmission and intelligent self-optimization.

The invention discloses an underwater routing protocol design method based on link sensing, and belongs to the technical field of underwater wireless sensor communication networking. The invention aims to solve the problem that the link quality of the existing underwater routing protocol cannot ensure reliable transmission of data. Comprising the following steps: dividing underwater wireless sensors into clusters based on set roles in a node control data packet; each cluster comprises a master node and a corresponding slave node; each master node receives a sensing data packet of the corresponding slave node; each master node maintains attribute information of the adjacent master nodes based on the master node attribute data packets of the adjacent master nodes, and establishes a reward function for transmitting the to-be-transmitted data packets of the master nodes between the two master nodes based on the attribute information of the master nodes; and after a next-hop master node of the underwater route is determined according to the reward function value, transmitting the to-be-transmitted data packet of the current master node to the next-hop master node until data transmission from the to-be-transmitted data packets of all the master nodes to the water surface ship receiving terminal is completed. The underwater sensing data transmission device is used for transmitting underwater sensing data.

The invention provides a high-robustness data real-time synchronization method and system, a storage medium and electronic equipment, relates to the technical field of data synchronization, and can significantly reduce the data synchronization delay between different systems by introducing mixed timestamps and fragment increment verification and calculation and adopting a reliable transmission mechanism and idempotent processing protocols based on message queues, thereby improving the data synchronization performance. Almost real-time information sharing is realized; meanwhile, the data consistency of the cross-heterogeneous information system can be effectively improved, and the accuracy and integrity of the data among multi-source systems are ensured; in addition, the reliability and robustness of data synchronization in unstable environments such as limited network bandwidth, easy jitter or interruption and the like can be greatly enhanced.

The invention relates to the technical field of data transmission, and discloses a flight data transmission method and system based on wireless communication and a storage medium. The method comprises the following steps: carrying out edge calculation noise reduction and data fusion processing on multi-source sensing flight data to obtain preprocessed transmission data; performing distributed cache node fragmentation and data synchronization processing on the preprocessed transmission data to obtain multi-source communication data; performing WiFi, 4G / 5G and satellite communication resource bidding and bandwidth allocation processing on the multi-source communication data to obtain priority network data; performing hierarchical network coding and transmission redundancy processing on the priority network data to obtain coded transmission data; and carrying out cloud edge cooperative decoding and data recovery processing on the coded transmission data to obtain transmission flight data. According to the invention, reliable transmission of flight data in a complex flight environment is realized, and the technical problems that an existing single communication mode is liable to be interfered and data transmission is unstable are solved.

The invention provides a KCP reliable transmission proxy method and system based on the Internet of Things, and relates to the technical field of Internet of Things communication, and the method comprises the steps: transmitting Internet of Things application protocol data to a local proxy through a client; packaging the received data networking application protocol data based on an application layer rapid and reliable protocol; forwarding the packaged request data packet to a remote agent of the target device based on a transport layer protocol; analyzing the request data packet to obtain data networking application protocol data and address data in a session message header; establishing connection with a target server according to server address information and a server port number in the address data; in response to the forwarded data networking application protocol data, the target server returns response data to the remote agent; the response data are packaged and transmitted back to the local agent to be analyzed, and the response data are forwarded to the client; and closing the connection between the client and the local agent based on the received response data. The invention aims to carry out efficient and reliable data networking data proxy.

The invention discloses an underground data reliable transmission method and system based on multipath redundancy, and relates to the technical field of drilling operation well control monitoring, and the method comprises the steps: building a channel state real-time monitoring and reliability evaluation mechanism for a plurality of communication channels from underground to ground, and taking an evaluation result as a drive, performing erasure redundancy coding and adaptive fragment distribution on a to-be-transmitted data packet to enable a channel with higher reliability to bear more coding fragments; parallel uplink transmission of the fragments is achieved through multi-channel scheduling, and the ground end carries out decoding reconstruction based on the arriving fragments to recover complete monitoring data. Therefore, when the channel is degraded or partially loses efficacy, the data can still be continuously available, so that the certainty and the real-time performance of underground monitoring data transmission are improved.

The invention provides a data cross-network exchange method, device and system. The system comprises an application data receiving module, a first public buffer area, a security detection module, a data routing configuration library, a first data exchange processing module, a data security encryption module, a sending cache library, a first message queue, an exchange data sending module, a first exchange equipment integration module, a second exchange equipment integration module and an exchange data receiving module. The cooperation among the second public buffer area, the data format conversion module, the second data exchange processing module, the data security decryption module, the distribution cache library, the second message queue and the application data distribution module can be compatible with various hardware devices, the unified cross-network data exchange service is realized, the flexibility and the expandability are improved, and the data exchange efficiency is improved. And safe, efficient and reliable transmission of data among different networks is ensured. The maintenance cost of networks with different security levels under the condition of physical isolation is reduced, and the security protection capability of the confidential network is further enhanced.

The invention discloses a bar code scanning data rapid transmission method based on edge calculation, and the method comprises the following steps: S1, collecting bar code data, and packaging the bar code data into a bar code data package; s2, sending the barcode data packet to an edge computing node; s3, carrying out preprocessing by the edge computing node; s4, constructing and managing a multi-task scheduling queue in the edge computing node; s5, the edge computing node collects network state parameters and generates a network score value; s6, when the network score value is smaller than the network score threshold value, performing compression and encapsulation by adopting a content awareness compression coding mechanism; s7, when the network score value is greater than or equal to the network score threshold value, starting a delay synchronization mechanism; and S8, the cloud server receives, executes processing and returns to the edge computing node. According to the method, edge calculation and content perception compression are fused, efficient scheduling and reliable transmission of bar code data are realized, and the method has the advantages of high real-time performance, weak network resistance and efficient transmission.

The invention discloses a satellite-based routing decision making method and device and a storage medium. The method comprises the following steps: determining a plurality of reference curves in each first sampling period; determining a first distribution curve in the current time period, and broadcasting the reference curve of the current time period, the first distribution curve and the channel capacity of each area in the current time period to each satellite; determining a reference curve of the next time period, calculating a deformation relation between the reference curve of the second sampling time period and the reference curve of the third sampling time period, and performing deformation processing on the first distribution curve to obtain a plurality of second distribution curves of the next time period; predicting the satellite congestion degree of each region in the next time period according to the channel capacity of each region in the current time period on the basis of the plurality of second distribution curves; and based on each region, constructing a plurality of corresponding routing paths, and determining an optimal routing path in the plurality of routing paths by using a genetic algorithm. Therefore, the technical effect of reliably transmitting data is achieved.

The invention relates to a flexible regulation and control load remote control terminal and method, and belongs to the technical field of power system automation and demand side management.The control terminal comprises an intelligent communication adaptation module, a coupling modeling module, a multi-scene self-adaption regulation and control module and a user interaction feedback module which are interconnected through an internal data bus; real-time interaction and cooperative work of data are realized; according to the invention, the breakthrough of the regulation and control mode from static presetting to dynamic optimization is realized, full-protocol compatibility and high-reliability transmission are realized, the real-time performance and interaction depth of user side response are improved, and the refinement and precision of control are improved.

The invention provides a multipath routing transmission method, system and device for reliable data communication of a multi-hop wireless network, and a medium. The method comprises the following steps: selecting an optimal reliable transmission path as a main path for routing transmission by using a Dijkstra algorithm; selecting an auxiliary path with better reliable transmission from neighbor nodes of the main path; and the main path and the auxiliary path are combined to carry out multipath routing transmission. On one hand, on the basis of a network topology structure and link quality related information, efficient selection of an optimal reliable transmission main path is realized, and multipath routing transmission between source / destination nodes is realized by constructing an auxiliary path participated by neighbor nodes on the main path, so that the reliability of data transmission is improved. And on the other hand, a Dijkstra algorithm is adopted as a basis to carry out enhanced routing design, so that the problem of serious loss of end-to-end data transmission caused by unreliable link transmission of the network can be effectively improved, and the success rate of one-time delivery of message transmission is improved.

The invention discloses a low-complexity MSK coded modulation system phase synchronization receiving system and method, and relates to the technical field of continuous phase modulation. On one hand, an original message is coded and modulated by constructing a pre-coding mode, a receiving end realizes optimal sampling point extraction at the minimum intersymbol crosstalk moment after phase decoupling frequency conversion processing, MSK is converted into BPSK-like modulation, oversampling processing is not needed, modulation phase components of a receiving synchronization section can be offset, and the modulation efficiency of the receiving synchronization section is improved; therefore, accurate estimation of Doppler phase and frequency is realized, and the anti-Doppler capability is improved. On the other hand, coherent demodulation soft information is directly output after the real part of the signal subjected to Doppler frequency offset and phase offset compensation is obtained, the complexity of the demodulation algorithm is low, the performance of the demodulation algorithm is equivalent to that of BPSK, the demodulation algorithm is remarkably superior to that of an MSK optimal demodulation receiver in a low signal-to-noise ratio region, and the demodulation algorithm is particularly suitable for a bit interleaving coding modulation system combined with channel coding and has a wide application prospect. And reliable transmission under a low signal-to-noise ratio can be realized.

The invention provides a steering-by-wire vehicle variable transmission ratio design method and system based on a fuzzy neural network, and belongs to the field of vehicle steering-by-wire. According to a fixed gain method, the steering angle transmission ratio is too small at a low speed, and the sensitivity is low at a high speed; the existing intelligent algorithm excessively depends on the experience of a designer and the quality of a data sample. The method comprises the following steps: establishing a closed-loop driver-vehicle system, designing a multi-target evaluation method by using a quadratic cost function of a vehicle dynamic state, and obtaining a data relationship between a vehicle ideal variable transmission ratio characteristic and a vehicle longitudinal speed and a steering wheel angle; a nonlinear control model is established through a fuzzy RBF network, and a globally optimal solution is obtained based on nonlinear model learning. The robustness of the control system is improved, the stable and reliable transmission ratio can be provided under various vehicle conditions, and the problem that a steering system is light and flexible is solved, so that the experience feeling of a driver under various vehicle conditions is improved, and meanwhile the operation stability and safety of the vehicle are improved.

The invention discloses an asynchronous processing method and device for business process data, and belongs to a distributed system data processing technology, and the method comprises the following steps: S101, receiving a business request message, and persistently storing the business request message in a main message queue; s102, acquiring a to-be-processed message from the main message queue, and locking an associated target data record before executing processing; s103, verifying data consistency based on the version number recorded by the target data, if the version number is matched, executing processing and updating the version number, and otherwise, discarding the message; s104, after successful processing, sending a confirmation instruction deletion message to the main message queue; through persistent storage of the main message queue, a version number verification mechanism and management of the dead message queue, the problem of data inconsistency caused by concurrent operation is effectively prevented, reliable transmission of messages is ensured, loss of service data is avoided, dead message processing efficiency is optimized, and the method has the advantages of ensuring data consistency, preventing message loss and improving system reliability.