344 results about "Data delay" patented technology

The invention discloses an industrial scene-oriented data acquisition system and an industrial scene-oriented data acquisition method. According to the invention, through the multi-level dynamic optimization design, the data acquisition efficiency and the system reliability in a complex environment are significantly improved. The system dynamically allocates thread resources based on the real-time communication state of the equipment, realizes stable throughput under a high-concurrency scene in combination with core binding and polling scheduling strategies, and ensures that millisecond-level response is still maintained when 10000-level equipment is accessed. The memory preloading and protocol template technology eliminates jitter during operation, the hierarchical resource isolation mechanism provides deterministic guarantee for key control instructions, and interruption of the production process due to data delay or resource competition is avoided. The data flow delay is further reduced through multi-protocol efficient analysis and intelligent cache management, seamless compatibility of heterogeneous equipment in a hybrid networking scene is supported, and the strict requirements of continuous production industries such as steel and chemical engineering for real-time performance and stability are met.

The invention relates to the technical field of remote control, in particular to an intelligent device remote cooperative control method and system based on the Internet of Things, and the method comprises the following steps: monitoring and adjusting the CPU utilization rate and memory usage of an intelligent device based on an Internet of Things platform, optimizing the data collection and network resource distribution, and improving the intelligent device remote cooperative control efficiency. By analyzing equipment performance and a network load balance index, equipment connection priority ranking and task load management are realized, and task execution and connection frequency is dynamically adjusted, so that real-time task requirements are met, and system efficiency is improved. According to the method, the performance index of the equipment is monitored in real time, the data transmission interval is dynamically adjusted, the data processing speed is remarkably increased, resource waste is reduced, efficient use of network resources is ensured through real-time load analysis and optimization of network nodes, the problem of data delay caused by network congestion is avoided, and in the aspect of equipment connection management, the data transmission efficiency is improved. An intelligent priority decision mechanism allows the key device to quickly access the network in an emergency.

The invention discloses a high-frequency power data acquisition adaptive frequency and priority processing method and device based on resource load feedback, and a storage medium, and belongs to the technical field of high-frequency power data processing. The method comprises the following steps: acquiring resource load information of a distribution network side intelligent terminal node in real time; according to the real-time resource load information, judging whether a preset sampling period of the power monitoring data needs to be adjusted, if so, dynamically correcting through a double-layer fast and slow ring adjusting mechanism to obtain a final sampling period, and otherwise, maintaining an original period; acquiring power monitoring data acquired by the node in the corresponding sampling period; and on the basis of a preset priority queue grading rule, a tube queue algorithm is utilized to adopt a differential transmission strategy for the data, so that priority processing of different levels of data is realized. The method does not need to depend on a prediction model, and realizes acquisition link elastic control and key data delay guarantee through real-time quantification of node loads, dual-time-domain closed-loop adjustment of a sampling period and hierarchical queue management messages.

This application relates to the field of wireless communication, and provides a communication method and apparatus, and a system, to implement continuous data transmission, thereby improving transmission performance. The method includes: A terminal device determines an available resource set SA corresponding to N pieces of data, where SA is located in a resource selection window, N parameter sets correspond to the N pieces of data, data i corresponds to a parameter set i, N is a positive integer greater than 1, i is an integer greater than or equal to 0 and less than N, and the parameter set i includes at least one of the following parameters: a sending priority prioTX,i, a data delay budget PDBi, a frequency domain resource unit LsubCH,i, or a channel access priority class CAPCi; and sends the N pieces of data on a resource in SA.

The invention relates to the field of intelligent transportation, and discloses a handling equipment management method for intelligent transportation, which comprises the following steps: acquiring an original data stream of handling equipment according to an Internet of Things sensor; performing space-time alignment calibration on the original data stream to obtain a structured operation state data set with equipment space-time relevance; inputting the structured operation state data set into a space-time convolutional network for feature learning; according to the method, the original data stream of the carrying equipment is collected through the Internet of Things sensor, the state data of the equipment can be obtained in real time in combination with the space-time alignment calibration technology, and the space-time relevance of the data is ensured. The accurate real-time monitoring provides a reliable data basis for subsequent decision making, the scheduling problem caused by data delay or inconsistency in a traditional method is avoided, the structural data are input into the space-time convolutional network for feature learning, the operation features of the equipment can be effectively extracted, and the method is suitable for large-scale popularization and application. And accurate input is provided for subsequent dynamic path planning.

The invention discloses a tangelo ecological orchard data management platform, relates to the technical field of agricultural informatization and intelligent management, is used for solving the problem that decision-making efficiency is affected by data delay, and realizes real-time acquisition and classified storage of orchard environment data by arranging a sensor node network and a distributed storage system. Through data preprocessing and feature extraction, the data redundancy is reduced, and the analysis efficiency is improved; an orchard environment change trend is predicted by using a time sequence analysis algorithm, and a scientific basis is provided for resource allocation; the generation of a dynamic resource allocation scheme is realized by introducing an adaptive weight allocation mechanism and a resource priority index; and an interaction module is deployed at the orchard management terminal, so that a user can check data and adjust resource allocation in real time, and the intelligent level of orchard management is improved.

The invention provides a data synchronization method and device for a distributed computer storage system. The data synchronization method comprises the following steps: determining a data concentration ratio of execution data in each data synchronization transaction in a database through a data range and a data increment of each data synchronization transaction; obtaining all synchronous storage nodes of a database in the computer storage system, and determining a node allocation strategy of the database during data synchronization according to the load characteristics of the synchronous storage nodes in the database and the data dependency relationship between the data synchronization transactions; performing dependency quantification on execution conditions of the transactions in the database according to a node distribution strategy and each centralized feature to obtain execution dependency of the transactions in the database; and performing balanced allocation on the synchronous storage nodes of the data synchronization transactions in the database based on the execution dependency. Based on the scheme, the balanced distribution of the synchronous storage nodes in the database can be realized, so that the data delay of the computer storage system in data synchronization can be reduced.

The invention provides an advertisement putting dynamic game decision-making method and system based on multi-objective optimization, and the method comprises the steps: obtaining user behavior key data which comprises user visual focus position information; transmitting the user visual focus position information to a multi-target optimization model in a preset decision server, and generating multi-target optimization model input data; analyzing the input data of the multi-target optimization model and a preset game constraint condition by using the multi-target optimization model to generate a multi-target game decision parameter; and carrying out dynamic game deduction calculation based on the multi-target game decision parameters, and generating a dynamic advertisement position adjustment scheme so as to carry out advertisement putting dynamic game decision. According to the method, millisecond data is transmitted to the multi-target optimization model, the problem of strategy oscillation caused by data delay and target conflict in traditional advertisement decision making in a real-time attention scene is solved, and accurate dynamic matching of user focus drift and advertisement display is realized.

The present application relates to the technical field of middleware, and in particular to a cache data semi-synchronization method, comprising comprises the following steps: writing and running a distributed cache proxy layer service using a preset programming language, receiving a read / write command request from an application client, parsing a Key consistent hashing value and sending same to a rear-end Redis sharding node. A master instance parses a message packet, marks a write operation and records same in an AOF file. Upon write to disk, the master instance sends an AOF file transfer command to a slave instance node, and the slave instance acknowledges reception. When receiving a reception response, the master instance updates an acknowledgment offset of the slave node and responds to the client. When network delay is high, data of a master node and a slave node is marked as "asynchronous", and it is automatically downgraded to asynchronous replication. According to the present application, by means of a self-developed Redis kernel, an asynchronous ack mechanism is used to optimize redis to achieve master-slave semi-synchronization, thereby enhancing data reliability of a single point of failure, and eliminating the influence introduced by a native Redis asynchronous replication mechanism such as data delay and data consistency.

The invention relates to the technical field of data management, and discloses a dynamic partitioning and priority scheduling method based on time sequence data, which comprises the following steps: collecting time sequence characteristics of an industrial data source through an edge gateway and carrying out structured storage in Redis, the time sequence characteristics comprising collection frequency, historical peak time period and service priority; load indexes are calculated based on time sequence characteristics, and a distributed message system is driven to execute dynamic partition adjustment of pre-judgment type capacity expansion, hot spot precise splitting and low-peak intelligent capacity reduction; and full-link data priority scheduling is realized through production end route isolation, Broker end resource inclination and consumption end thread pool isolation. According to the invention, the dynamic adaptation of the distributed message system resource and the industrial time series data load is realized, the real-time performance of high-quality data is ensured, the integrity of data transmission and the system adaptability are improved, and the problems of poor load fluctuation adaptation, high-quality data delay and easy data loss due to faults in the prior art are effectively solved.

The invention discloses a satellite angular rate identification method and related equipment, and relates to the technical field of rocket launching, and the method comprises the steps: obtaining a rocket telemetry video frame sequence after satellite-rocket separation; for each frame of image of the rocket telemetry video frame sequence, determining a dynamic image area of the target satellite based on the static area mask; based on a feature detection algorithm, binary descriptors are extracted from dynamic image areas of two adjacent frames of images; based on the binary descriptor, matching corresponding feature point pairs between two adjacent frames of images; estimating a rotation matrix between two adjacent frames of images through an iterative optimization algorithm based on the corresponding feature point pairs; and determining the angular rate of the target satellite according to the rotation matrix and the time interval between the two adjacent frames of images. According to the method, rapid and high-precision identification of the satellite angular rate is realized, the problem that the traditional technology depends on indirect data and is high in delay is solved, task success or failure can be judged in real time, and the launching task evaluation efficiency is improved.

The embodiment of the invention discloses a three-dimensional tennis track real-time reconstruction method and system based on multiple cameras, internal and external parameters and calibration results of the multiple cameras are utilized, respective two-dimensional pixel coordinates are converted into three-dimensional rays, and nodes are positioned in combination with a minimum distance algorithm. According to the embodiment of the invention, the real-time reconstruction of the three-dimensional track of the tennis ball is realized by virtue of the synchronous multi-camera two-dimensional image through the steps of camera accurate calibration, two-dimensional to three-dimensional ray conversion, intersection point calculation and screening, data output and the like. Compared with the prior art, the reconstruction precision is improved through accurate calibration and ray intersection screening; by means of multi-camera data synchronization and simple calculation process, data delay is reduced, and real-time performance is prominent; by means of multi-camera data redundancy and a placeholder mechanism, the robustness in a complex environment is enhanced; the output three-dimensional point data can directly support the functions of ball speed calculation and the like, and the expansibility is good.

The invention specifically relates to a remote safety officer allocation system and method for a pilotless automobile, and relates to the technical field of pilotless automobiles, and the system comprises a vehicle state monitoring and data collection module; a communication and network guarantee module; a security officer resource management module; the task scheduling and dynamic coordination module is configured to perform intelligent task allocation based on vehicle requirements and safety officer states to realize optimal resource allocation; and an emergency response and decision support module. According to the invention, the vehicle state monitoring and data acquisition module fuses data of multi-source sensors such as a laser radar and a camera and high-precision positioning information, realizes no-dead-corner environment perception, and improves the integrity of environment information compared with a traditional scheme; after the edge computing node preprocesses the original data, the cloud data transmission quantity is reduced, satellite double-channel communication redundancy is combined, it is ensured that the emergency instruction transmission delay is reduced, and the response speed is increased compared with a single network scheme; and the accident risk caused by data delay or interruption is reduced.

The invention provides an intelligent all-in-one machine with a body, a system and an operation method, and belongs to the technical field of industrial automation and robot control systems.The all-in-one machine comprises an automation system IDE module, an automation system driving module, a robot body driving module and a function supply module, the function supply module is used for providing a data acquisition function, a simulation task execution function, a model training function and a model reasoning function with time synchronization for the robot body driving module according to a control command which can be executed by the robot; the intelligent all-in-one machine solves the problem of time synchronization between the all-in-one machine and the robot, between the acquisition module and the robot and between the acquisition module and the multi-frequency sensor data, and ensures that the time synchronization between the acquisition module and the robot and between the acquisition module and the multi-frequency sensor data is realized in the sensor data acquisition, model reasoning and task execution processes through accurate timestamp management and a multi-level time synchronization mechanism. Millisecond-level time alignment of data of all the modules can be achieved, and control errors caused by time drift and data delay are effectively avoided.

The invention discloses a digital dangerous cargo transportation supervision system and method, belongs to the technical field of vehicle supervision, and aims to solve the problems that in digital dangerous cargo transportation, loading and unloading links are insufficient in authenticity verification, abnormal fluctuation in the transportation process is difficult to recognize in real time, and abnormal handling response is delayed. After a dangerous cargo transportation electronic waybill is obtained, loading and unloading scene verification is completed by delimiting a compliance area, shooting an initial scene image and dynamically constructing an image flow sequence, and a carrying password is generated for cargo encryption storage and unloading unlocking; a passing route is segmented, a vehicle operation base line is established based on historical data, data delay and loss are distinguished by monitoring the conformity and transmission interval of transportation data and the base line, abnormal fluctuation is recognized, and early warning is triggered; and during early warning, a target verification position is selected based on positioning, and the vehicle is guided to the verification area to complete abnormity verification. And cheating behaviors in loading and unloading links are avoided, transportation risks are identified, abnormities are quickly handled, and dangerous cargo transportation safety and supervision efficiency are effectively improved.

The invention discloses a reinforcement learning training acceleration system and method based on adaptive tensor parallelism, and relates to the technical field of artificial intelligence, and the system comprises an offline measurement module which constructs a system performance database before training; the reasoning execution module is used for executing an autoregressive reasoning task of the model in an RLHF generation stage and is responsible for collecting running state data of model reasoning in real time; the delay prediction module is used for estimating the residual generation time overhead of the model under different candidate tensor parallelism degrees and the switching time overhead required for completing one-time tensor parallelism degree switching in a generation stage in real time based on the system performance database and the operation state data; the switching control module is used for calculating predicted total delay under different candidate tensor parallelism degrees, and generating a switching control signal and sending the switching control signal to the switching execution module when a triggering condition is met; the acceleration system realizes a mechanism of generating stage tensor parallelism dynamic adjustment.

The invention provides a display panel and a display device. The display panel comprises a first screen body and a second screen body, the first data lines are electrically connected with the first screen body, extend in the first direction and are located in the first screen body; the second data lines are electrically connected with the second screen body, and the second data lines extend in the first direction; and the control module is located at one end of the first screen body, and the first data line and the second data line are electrically connected with the control module. According to the display panel provided by the invention, the situation that the first screen body and the second screen body share a data line, data delays of different areas in the first screen body have large differences, and consequently display of the first screen body is uneven is avoided, the display uniformity is improved, and the display effect of the display panel is improved.

The invention relates to the technical field of multi-network connection, in particular to a Raman optical fiber amplifier remote monitoring system based on multi-network connection. Multiple different network connection modes are achieved through the multiple network connection units, flexible transmission and remote monitoring of data are achieved, a proper network interface can be automatically selected for data transmission according to the current network environment, and the flexibility and stability of network connection are guaranteed. According to the method for packaging the data frames of the different network media on the data link layer, the integrity and effectiveness of the data on the different transmission media are ensured, the system complexity is reduced, and the data transmission efficiency and the system response speed are improved. Especially in a multi-network connection environment, the optimized data link layer processing module can effectively reduce data delay and improve the real-time monitoring capability of the system. Wide area network transmission of data is realized through an MQTT protocol, and safe transmission and real-time monitoring of remote data are ensured.

The invention provides a multi-working-condition dynamic adaptive ship hybrid power dispatching system, which is applied to the technical field of ship power systems and energy management, and comprises a data exchange module, a working condition module, a hybrid power generation module and an energy management module, wherein the data exchange module realizes cross-protocol data analysis and unified timestamp packaging, and ensures the consistency and real-time performance of data exchange between modules; the working condition module is used for collecting ship working conditions and generating working condition conversion signals, an EMS in the energy management module is used for calculating a scheduling strategy, and the hybrid power generation module executes power distribution and charge-discharge control of the diesel generator set, the axle generator and the battery pack according to the scheduling strategy. Through the data exchange module, the problems of data delay and errors caused by complex protocol fusion and non-uniform clocks are solved, and the dynamic adaptation and response capability of the ship under complex working conditions is effectively improved.

The invention discloses a third-party cloud service data synchronization processing method and system based on a timed task, and the method carries out the attribute configuration of the timed task through a management interface, and the objects of the attribute configuration comprise execution time, frequency, a third-party cloud service data source and target system information. Storing the object of the attribute configuration in an attribute database; when the timed task is triggered, acquiring data from a third-party cloud service in an asynchronous mode, storing the data to a local cache, and recording a data identifier; synchronizing the processed data to a target system by adopting an incremental synchronization strategy according to the data identifier, and performing conflict detection and conflict resolution in the synchronization process; the execution state of the timed task is monitored in real time, and if the execution state of the timed task is abnormal, a report is generated and automatic retry is tried. According to the method, the problems of resource waste, data delay, system performance reduction, data conflict loss and the like confronted by third-party cloud service data synchronous processing in the prior art are solved.

The invention is suitable for the field of vehicle-road cooperation, and provides a real-time intelligent data stream analysis and management method and system, and the method comprises the steps: obtaining multi-type data streams transmitted by a vehicle terminal, roadside equipment and a cloud platform in a vehicle-road cooperation scene; assigning priority levels to the multi-type data streams; carrying out parallel processing on the data streams with different priorities by adopting a self-adaptive analysis algorithm, and extracting environment perception features, vehicle state features and traffic event features; performing integrity and accuracy verification on the analyzed feature data through a real-time verification model, marking abnormal data and triggering a correction mechanism; according to the priority level and a data quality evaluation result, dynamically distributing, calculating and transmitting targeted resources, and pushing effective feature data to a corresponding decision node to support real-time response; priority transmission of key data is guaranteed through dynamic priority scheduling, abnormal data is verified and corrected in real time, and the problems of poor multi-source data fusion, key data delay and the like are effectively solved.

The invention belongs to the field of digital twinning and energy industry intellectualization, relates to a thermal power plant three-dimensional operation state digital twinning system, and solves the technical problems of traditional operation and maintenance data islands, visualization deficiency and prediction lag. The system constructs a'multi-source data fusion-dynamic physical deduction-virtual-real interaction control 'system: a multi-source data fusion engine gets through a DCS / SIS barrier to realize 200,000 + data point / millisecond-level synchronization; a GPU (Graphics Processing Unit) drives a VFX Graph particle system and an LOD rendering technology to achieve 90fps (at) 4K flue gas flow simulation on RTX 4080; an AR instruction is directly connected with a PLC to construct a virtual-real bidirectional control chain, and a'monitoring-deduction-intervention 'closed loop is formed. Key indexes are as follows: fault early warning is greater than or equal to 72 h, fault positioning is 0.5 h / time, data delay is less than or equal to 10 ms, and model precision is + / -2 cm. And an edge-cloud collaborative architecture is adopted, and lightweight deployment of a Unity model is realized. According to actual measurement of a Jingfeng-Dalberg power plant, the emergency response is shortened from 26 minutes to 4.3 minutes, and a predictable intervention driven innovative paradigm foundation is laid for thermal power digitization.

The invention discloses an electric energy acquisition terminal based on a distributed database, and relates to the technical field of intelligent power grid management. The electric energy acquisition terminal based on the distributed database comprises an intelligent electric meter; an electric energy data acquisition module; an electric energy transmission delay evaluation module; and an electric energy data verification module. According to the method, after initial acquisition electric energy data is pre-screened, data quality verification and compliance verification are executed, whether qualified acquisition optimization is carried out or not is judged, then electric energy transmission delay evaluation is carried out, and whether electric energy data delay evaluation result optimization is carried out or not is judged; and finally, performing electric energy data verification and storage evaluation, and judging whether to perform electric energy data calibration storage optimization or not, thereby achieving the effect of improving the accuracy in the electric energy data acquisition process based on the distributed database. The problem that in the prior art, the accuracy is low in the electric energy data acquisition process based on a distributed database is solved.

The invention belongs to the technical field of energy storage power stations and microgrids, and particularly relates to a method for automatically identifying industrial equipment based on a configurable protocol of an EMS. A protocol management module containing point location, equipment and business group management is constructed in an EMS system, and equipment connection information of different manufacturers, point location information (integrated into a standard protocol through a business unified identifier) and a business function and point location association relationship are configured, stored in a corresponding data table and refreshed to a general protocol cache. And the data acquisition program calls the corresponding protocol module to acquire real-time data, stores the real-time data in the data cache, and reads the data from the cache during display. According to the method, logic separation of the protocol and the program is realized, heterogeneous equipment of multiple manufacturers can be dynamically adapted without modifying the program, the problem of incompatibility of the protocol is solved, busy equipment bus and data delay are avoided, and the stability and the maintenance efficiency are improved.

The present disclosure provides a Bluetooth network communication method and apparatus, an electronic device, and a readable storage medium. The method comprises: monitoring broadcast information in a Bluetooth network, wherein the broadcast information is broadcast by routing devices and / or relay node devices in the Bluetooth network, wherein each routing device is configured to execute the communication between the Bluetooth network and an external network, and each relay node device is configured to execute the communication between a Bluetooth device and / or another relay node device and the routing device in the Bluetooth network; and on the basis of the broadcast information, selecting the routing device or the relay node device to establish a connection, wherein the relay node device and the Bluetooth device are respectively configured to be connected to at most one uplink device. By adding relay node devices to routing devices and Bluetooth devices, the requirement on Bluetooth network deployment is reduced. Moreover, only one data channel for executing the communication between each Bluetooth device and an external network is realized. Therefore, the problem of multi-path flooding data transmission is avoided, so that the network structure is simplified, and the data delay is reduced.

The invention relates to the technical field of data acquisition, and discloses a low-power-consumption edge calculation outdoor energy storage power supply data acquisition system, which comprises a data analysis unit, a collaborative analysis unit, a probability analysis unit and an acquisition correction unit, and is characterized in that the data analysis unit, the collaborative analysis unit, the probability analysis unit and the acquisition correction unit are combined for analysis; intelligent dynamic regulation and control of outdoor energy storage power supply data acquisition are realized, the defect of data delay under low temperature and high load in a traditional fixed frequency acquisition mode is overcome, the data acquisition effect is ensured, low power consumption is ensured, meanwhile, the real-time recognition capability of hidden dangers such as over-discharge and internal resistance abnormity is improved, and the real-time recognition capability of the hidden dangers such as over-discharge and internal resistance abnormity is improved. And the cycle service life of the battery is effectively prolonged.

The application discloses a kind of digital dangerous goods transport supervision system and method, belong to vehicle supervision technical field, to solve the authenticity of digital dangerous goods transport in loading and unloading link is insufficient, transport process abnormal fluctuation is difficult real-time identification and abnormal disposal response lag problem.After obtaining dangerous goods transport electronic transport note, by demarcating compliance area, shooting initial scene image, dynamic construction image flow sequence is completed loading and unloading scene verification, generates carrying password for goods encryption storage and unloading unlocking;To the section of route, establish vehicle operation baseline based on historical data, by monitoring the compliance of transport data and baseline and transmission interval, distinguish data delay and loss and identify abnormal fluctuation, trigger early warning;In early warning, based on positioning selection target check position, guide vehicle to check area to complete abnormal check.Eliminate the cheating behavior of loading and unloading link, identify transport risk and dispose abnormality quickly, effectively improve dangerous goods transport safety and supervision efficiency.

The invention discloses a guidance method and system for establishing cascade power station real-time operation risk optimization, and relates to the technical field of water conservancy scheduling and intelligent risk assessment, and the method comprises the steps: executing risk preliminary assessment based on collected water level and equipment data, and generating a state snapshot; performing compensation re-evaluation on the historical state snapshots based on the real meteorological data received in a delayed manner; and performing scheduling correction trigger judgment based on the risk assessment offset and the error function. According to the method, a complete and closed-loop dynamic risk scheduling decision chain is formed by constructing a risk snapshot mechanism, compensating historical errors and judging whether scheduling correction needs to be triggered or not, and the risk scheduling decision chain, the historical errors and the scheduling correction are closely matched. The scheduling system is endowed with self-adaptive analysis and intelligent judgment capability on various conditions such as prediction data delay, actual measurement deviation and risk evolution, and the safety, the real-time performance and the intelligent level of hydropower station scheduling are greatly improved.

The invention discloses an oil field equipment fault early warning method based on a block chain, and relates to the technical field of oil field equipment fault early warning. The problem of key data delay or congestion discarding caused by traditional fixed-rate transmission in a complex edge-block chain collaborative environment is fundamentally solved. Compared with a'one-cut 'transmission strategy in the prior art, the method intelligently adjusts the transmission rate of each structured data packet in combination with the real-time bearing state of a network link according to the fault risk level and the aging attenuation characteristic of the data and the current oil field operation stage, and improves the data transmission efficiency. And high-risk and high-emergency equipment state data can be preferentially and quickly sent to the target parallel chain. The optimization directly ensures that the structured data written into the block chain has higher time freshness and stronger business relevance, so that the accuracy, sensitivity and early warning capability of a fault prediction result are remarkably improved.

The embodiments of the present disclosure relate to a transmitting device and a transmitting method for a radio frequency interface, a receiving device and a receiving method for a radio frequency interface, and a chip. [Solution] The radio frequency interface transmitter includes a transmission controller having a traffic data interleaving means, a delay adjustment amount determining means, and a framer means. The traffic data interleaving means is configured to serially interleave data of a plurality of data channels based on a current interleaving pattern to form interleaved data including one or more periods. The delay adjustment amount determining means is configured to determine a delay adjustment amount for each data channel corresponding to the current interleaving pattern. The framer means is configured to form a traffic frame based on the interleaved data, and the framer means is further configured to form a management frame.