130 results about "Transmission time delay" patented technology

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

The invention discloses a dynamic load adaptive charging pile liquid cooling control method, relates to the technical field of thermal management, and solves the problems of temperature prediction deviation, local hot spot leak detection and protective supercooling caused by a simplified thermal model based on fixed parameters and key temperature points under rapid load fluctuation. Parameterization time-varying heat supply network parallel multi-rate observation is constructed, a heat exchange coefficient and node heat capacity are identified and calibrated through recursion with physical constraints, transmission time delay is merged into an extended state in an explicit mode, short-window high-frequency sampling and local temperature field reconstruction are triggered based on residual errors, and the time-varying heat supply network parallel multi-rate observation is achieved. A control sequence is issued in parallel by adopting hierarchical rolling type control with a second-order moment uncertainty constraint; based on the scheme, the short-term temperature field prediction precision and the local hot spot identification capability are improved, and the cooling resource directional utilization efficiency and the charging system operation continuity are remarkably improved.

The application discloses a wireless signal transmission method, comprising the following steps: transmitting an incident signal within a set resource time length; a first transmission time delay exists in the process of the incident signal reaching a receiving end; a reverse signal is a scattered signal in response to the incident signal, and a second transmission time delay exists in the process of the reverse signal reaching a target end; the time length of the incident signal and / or the reverse signal is set so that the reverse signal reaching the target end is within the set resource time length. The application also comprises a device applying the method. The application solves the timing problem of a reverse scattering communication device transmitting a signal in a mobile communication network, so as to meet the index requirements of the system in terms of inter-code interference and inter-channel interference, and is especially suitable for a system of reverse scattering communication.

The invention provides a manipulator AWC calibration method and system based on delay compensation, and belongs to the technical field of semiconductor manufacturing equipment automation. The method comprises the steps that when the operation speed of a manipulator is low, the position of a sensor in a robot basic coordinate system is calculated; when the operation speed of the manipulator is full speed, inversely solving the radius of the wafer according to the position of the sensor in the robot basic coordinate system and the position of the manipulator when the sensor is triggered; in the process of inversely solving the radius of the wafer, constructing a delay compensation model; and delay verification is conducted on the constructed delay compensation model, when the verification result is that calibration succeeds, the high-speed control mechanical arm stretches out of the station, and the delay compensation model is adopted for deviation correction. The problem that AWC calibration precision is reduced due to signal transmission delay under the high-speed working condition is solved, and laser sensor base coordinate calibration and wafer circle center positioning errors under high-speed movement are reduced.

The application discloses a time slot scheduling method of an underwater dynamic multi-hop distribution network based on a time division multiple access protocol, relates to the field of underwater acoustic communication, and is aimed at the underwater multi-hop distribution network, improves the traditional static time slot allocation based on the TDMA protocol, designs a data packet frame structure, comprehensively considers transmission time delays among underwater nodes, dynamically adjusts time slots allocated to the underwater nodes based on the maximum transmission time delay, considers a dynamic node random access condition, and realizes the design of the time slot scheduling method of the underwater dynamic multi-hop distribution network.Compared with the traditional static time slot allocation method, the method can effectively improve the overall throughput of the network and optimize the network operation efficiency.

The invention discloses a vehicle-mounted multi-radar system interference suppression method, system and platform based on frequency hopping frequency modulation continuous waves, and the method comprises the steps: arranging at least one front radar and four corner radars on a vehicle, and enabling the field angles of the radars to have an overlapping region; wherein the waveform transmitted by each radar consists of N linear frequency modulation continuous waves, and the duration of each chirp is T microseconds; the chirp starting frequency of each radar changes along with time, so that N1 chirp is greater than or equal to 1 and less than or equal to N when each radar passes through N1 chirp; the initial frequency is increased or decreased by a fixed step delta F, and the average frequency hopping step is delta F / N1; according to the system and the platform corresponding to the method, the chirp initial frequency is dynamically adjusted and the time delay is accurately controlled, so that the interference-free cooperative work among the multiple radars is realized, the distance resolution, the speed resolution and the signal-to-noise ratio are remarkably improved, and the system and the platform have the advantages that the interference-free cooperative work among the multiple radars is realized. And meanwhile, hardware design is simplified.

The application is suitable for the technical field of internet equipment, and provides an industrial internet equipment intelligent interconnection control method and system based on edge computing, acquires industrial internet equipment control basic information, and establishes an equipment basic information table through the basic information; collects own operation state parameters through the basic information table and sends the operation state parameters to an edge computing node to comprehensively judge the operation state of the internet equipment; if it is judged that the collaborative control requirement is met, the edge computing node selects a collaborative control strategy according to the judgment result, compares the equipment load with a load threshold value; when an equipment exception is detected, the control state and execution result during the exception period are synchronized to a cloud end management node, the control instruction transmission time delay and the occurrence probability of multi-equipment collaborative control conflict are effectively reduced, and the control real-time performance, stability and reliability of the industrial internet equipment in a complex operation environment are improved.

The invention relates to the technical field of data encryption, in particular to a transmission encryption method based on a Beidou communication data architecture, which comprises the following steps of: S1) adjusting related communication data and calibrating the related communication data as a data item to be filled or a data item to be missing based on the related communication data needing to be transmitted in the stage and an adaptive data transmission channel in the related data architecture; s2) performing priority processing on the to-be-missing data items, selecting part of data from the corresponding to-be-missing data items based on changed capacity data of the to-be-missing data items, calibrating the part of data as to-be-filled data, then determining to-be-transmitted missing items, performing related filling on the to-be-filled data items, and preferentially confirming filling capacity data corresponding to the to-be-filled data items; relevant data are selected from the to-be-filled data, and then to-be-transmitted filling items are determined; and S3) performing data transmission based on the determined data transmission channel of the corresponding data item, and determining an encryption key of the corresponding data item based on the transmission delay of each group of different data items in the transmission process.

The invention discloses a trust evaluation method and system for a mobile edge computing terminal node, and relates to the field of edge computing, network security and trust management.The evaluation method comprises the following steps that the terminal node generates local data and trains a local model according to a model updating instruction issued by a central server and the edge node; uploading the local update parameter to the edge node; the edge node collects behavior information of the terminal node, interacts with other edge nodes and shares recommendation information for the terminal node; calculating current trust and historical trust of the node, and acquiring direct trust by integrating the current trust and the historical trust; calculating recommendation trust of the nodes according to behavior factors of transmission time delay, interaction time difference, data integrity, node reliability, communication success rate and interaction times, and filtering malicious recommendation according to indexes of recommendation timeliness, recommendation distance and recommendation external trust; and calculating the comprehensive trust of the terminal by combining the final recommendation trust and the direct trust.

The invention provides a bearing grease injection flow real-time monitoring method and system based on a sensor, and the method comprises the steps: obtaining a real-time pressure sequence, a temperature value and an acoustic signal sequence of a grease injection pipeline, calculating a wall surface adhesion historical factor, and obtaining the real-time pressure sequence, the temperature value and the wall surface adhesion historical factor through the pressure change rate, the temperature value and the wall surface adhesion historical factor. A rheological compensation coefficient is calculated through a multivariable nonlinear mapping model, a reference grease injection flow is obtained by combining a real-time pressure sequence, the rheological compensation coefficient and a slip compensation coefficient, and for an acoustic signal sequence, energy attenuation is normalized by calculating transmission time delay and energy attenuation between adjacent sensors and utilizing the rheological compensation coefficient, so that the real-time pressure sequence is obtained. The matrix is compared with a preset bubble characteristic mode; if the similarity exceeds a threshold value, a bubble event is identified, the volume is estimated, the reference grease injection flow is corrected in real time, the flow corresponding to the bubble volume is deducted, and the real-time grease injection flow is obtained.

The present application relates to the technical field of monitoring, in particular to a server cluster state visualized monitoring method and system, comprising the following steps: obtaining processor utilization time series, extracting change direction and locating reverse position to form time section and associate node identification, combining bandwidth and time delay change to filter link and establish association, mapping field access time to time section, dividing display area according to field number. In the present application, the processor utilization time series is extracted in direction and the reverse position is identified, the section and the node identification are mapped, the link filtering and association are combined with the bandwidth occupation and the transmission time delay change direction, the field access time mapping mechanism is introduced to align the log data with the time section and reconstruct the field sequence in order, the display area is divided according to the field number and the node, the monitoring interface presents the continuous evolution relationship and the spatial distribution characteristics, and the abnormal positioning coherence and the overall state cognition efficiency are improved.

The invention relates to a communication method and device, in the communication method, access network equipment can automatically judge that a data flow of a first PDU (Protocol Data Unit) session is congested based on a first flow control parameter of the first PDU session, so that a first congestion notification packet message can be sent based on a first flow table of the first PDU session; furthermore, the RDMA technology is adopted in a wireless communication scene to perform flow control, for example, queue backlog at a congestion side is reduced. Therefore, low time delay of the service can be ensured, the throughput of the service is not influenced, and the performance and quality of the service are improved. Besides, transmission time delay of two air interfaces can be reduced, and more timely flow control of the wireless RDMA can be realized, so that congestion is eliminated more timely.

Provided are a communication method and device, the method comprising: receiving first indication information, the first indication information being used for indicating a serial number of a first protocol data unit (PDU), the first PDU corresponding to first time information, the serial number of the first PDU being a sequence identifier of the first PDU in a first protocol data unit set, the sequence identifier of the first PDU being a sequence identifier of the first PDU in the first protocol data unit set; the difference value between the serial number of the kth first PDU and the serial number of the (k-1) th first PDU in the first data unit set is N, and N is a positive integer greater than 0; receiving a first data packet based on the first indication information, wherein the first data packet comprises a first PDU and first time information; the detection of the first PDU, the first time information and the second time information are used for determining the actually available transmission time of the first PDU from the transmission starting of the network device to the reception of the terminal device, and the second time information is the time for detecting the first PDU, and by adopting the method and the device, the transmission time delay can be ensured, and the user experience can be improved.

According to the content caching method considering the dynamic network topology in the satellite edge calculation, when modeling is conducted on the content caching problem in the satellite edge calculation, the dynamic nature of the satellite network topology is considered, and dual optimization of transmission time delay and transmission energy consumption is achieved under the constraint condition of the satellite caching capacity and the repeated caching number; according to the method, the content caching problem is solved by utilizing multi-agent graph attention reinforcement learning, and the purpose of solving a caching strategy in a dynamic environment is achieved. And the low-orbit satellite selects to cache the content to the local, so that the transmission delay and transmission energy consumption of the user for acquiring the content are reduced, the increase of the transmission delay and the transmission energy consumption caused by the topology change of the satellite network is avoided, and the cache resources of the satellite are effectively utilized.

The invention discloses an underwater intelligent bionic detection method, and belongs to the technical field, and the method comprises the steps of bionic signal generation and emission adjustment based on environmental adaptability. According to the WaveGAN-based underwater intelligent bionic detection technology provided by the invention, on one hand, high-similarity bionic signals are constructed; and on the other hand, aiming at the efficiency problem in bionic signal transmission, a combined optimization method of pulse interval adjustment based on a channel transmission time delay characteristic and pulse sound source level adjustment based on a channel propagation loss characteristic is provided by utilizing the coupling characteristic of organisms and the environment, so that the sampling point number after adjustment and optimization is reduced by 45%, and the processing time is reduced by 42%. And meanwhile, the energy consumption of the system is greatly reduced, high-efficiency bionic detection can be realized, and the method can provide important reference for underwater hidden detection and bionic sonar performance optimization.

The invention relates to the technical field of the Internet of Things, in particular to a protocol conversion method of a water information heterogeneous data transmission protocol gateway of the Internet of Things, which comprises the following steps: constructing a protocol characteristic time sequence atlas, and generating a protocol difference matrix based on the protocol characteristic time sequence atlas; cross-protocol conversion features are extracted based on the protocol difference matrix, a heterogeneous protocol conversion model is constructed, and a protocol conversion feature vector is obtained; mapping the protocol conversion feature vector to a rule space to obtain an initial protocol conversion rule set; adjusting the initial protocol conversion rule set to obtain a target protocol conversion rule set; and converting the target protocol conversion rule set into a transmission instruction which can be identified by equipment and executing the transmission instruction. By tracking and optimizing the protocol conversion precision, the transmission delay and the data integrity in real time, any potential problem in the protocol conversion process can be dynamically adjusted, and accurate transmission and timely feedback of data are ensured.

The invention specifically discloses a distributed computing power resource collaborative deployment method based on multi-scale time delay constraint. The method comprises the following steps: determining a to-be-served business queue of each business master station at the beginning of a work period; establishing a network topology relationship among the service master stations, and defining a routing constraint; for a given computing power deployment scheme and path planning, the expected total service time delay of each service is determined, and the expected total service time delay comprises service transmission time delay and service computing time delay; establishing a business completion rate constraint based on the expected service total time delay; establishing a computing power distribution constraint according to the available amount of the total computing power resource; for a given computing power deployment scheme and path planning, determining the service calculation cost and the service transmission cost of each service master station, and calculating the total cost; establishing a linear programming problem by taking the cumulative cost minimization as a target; and solving the linear programming problem to obtain an optimal computing power deployment scheme, and executing computing power resource deployment according to the optimal scheme.

The application relates to a communication method, device and system. A first network element learns that a terminal device requests to access a first application, and selects a first data network access identifier for the terminal device, wherein the sum of a first time delay and a second time delay is less than or equal to an access time delay threshold of the first application. The first time delay is a transmission time delay between the terminal device and a core network device corresponding to the first data network access identifier, or a transmission time delay between an access network device serving the terminal device and the core network device corresponding to the first data network access identifier; and the second time delay is a processing time delay of an edge application server in a first data network, the first data network access identifier being used to identify the first data network, and the edge application server being used to support the first application. The selection of the first network element is more conducive to the terminal device to quickly access the first application, thereby improving the access experience of a user using the terminal device for a service of the application.

The application relates to the technical field of communication, and particularly discloses a data communication method based on a highway electromechanical system, which comprises the following steps: synchronously collecting strain and temperature parameters along an optical fiber, converting the strain and temperature parameters into transmission time delay variation according to predetermined physical characteristics, and generating real-time time delay dynamic data of each communication path through path integration; according to the real-time time delay dynamic data, a time delay variation file containing a trend component and a disturbance margin index is established and continuously updated for each access unit; a reference round-trip time delay of each unit is dynamically corrected according to the file in a communication station, a dynamic protection interval is determined by combining a trend change rate and a disturbance index, and an uplink time slot window with a protection band is re-distributed; through comparison between a periodically measured sample and a predicted value, a conversion relationship between an error and a physical parameter is reversely corrected to a time delay parameter based on historical credibility weighting, and adaptive optimization is realized; and the application can accurately predict and compensate time delay drift caused by dynamic deformation, and ensures reliable transmission of uplink data.

The invention discloses a time synchronization method, a communication device, a time synchronization system and a storage medium, relates to the technical field of communication, and aims to solve the problem of poor synchronization precision of time synchronization between different devices in a network. The method comprises the steps that a slave node receives a first frame sent by a master node and used for determining first time delay, the first time delay is transmission time delay from the master node to the slave node, the slave node receives a second frame sent by the master node, and the first time delay is used for time synchronization when the slave node receives the second frame every time.

The invention provides a congestion control system and a control method for jointly adjusting a sending rate based on queues and time delays under a wireless local area network, relates to the technical field of congestion control of the wireless local area network, and aims to solve the problems that a traditional congestion control algorithm depends on single signal sensing, is lagged in response, cannot adapt to bottleneck dynamic switching of the wireless local area network, and is low in cost. And the transmission delay and the link throughput are difficult to balance. According to the method, after each round of data transmission, a network card driving queue residual length RQ is obtained, a data packet round trip time RTT is monitored, a congestion scene is cooperatively judged, a congestion window cwnd is dynamically adjusted to optimize the transmission rate, and corresponding formulas or strategies are adopted for adjustment according to scenes. According to the method, the problems of one-sided sensing and response lag of a traditional congestion control algorithm can be solved, a scene is judged through RQ and RTT dual-sensing cooperation, cwnd is dynamically adjusted, time delay is reduced when the network is good, throughput is guaranteed when the network is poor, and the performance is superior to Cubic and BBR.

The application discloses a communication method and a communication device. The method comprises the following steps: a terminal sends first service characteristic information and air interface quality information corresponding to the terminal to a network device, wherein the first service characteristic information is used for indicating a time delay requirement of a first service; the network device sends configuration information to the terminal based on the first service characteristic information and the air interface quality information corresponding to the terminal, wherein the configuration information is used for indicating that a first timer is enabled and a second timer is configured, or the configuration information is used for indicating that the first timer is prohibited; the first timer is used for controlling the network device to stop retransmitting a data packet of the first service, and the second timer is used for controlling the terminal to discard the data packet of the first service. Through the application, whether the first timer and the second timer are enabled through the configuration information can be determined based on the air interface quality corresponding to the terminal and the service characteristic, which is beneficial to meeting the transmission reliability requirement and the transmission time delay requirement of the first service.

The application relates to a guide bar device and a warp knitting machine. The guide bar device comprises a back plate assembly, and the back plate assembly comprises a buffer protection circuit and a plurality of signal transmission interfaces. An input end of the buffer protection circuit is used for accessing a control signal, and an output end of the buffer protection circuit is connected with the signal transmission interfaces. The signal transmission interfaces are used for connecting wireless Jakka needle blocks, so that the buffer-processed control signal is transmitted to the wireless Jakka needle blocks, and the wireless Jakka needle blocks control the guide needles to operate according to the buffer-processed control signal. In the back plate assembly, the plurality of signal transmission interfaces are convenient for connecting the plurality of wireless Jakka needle blocks. Since the bus network is not used for transmitting the control signal, but the buffer protection circuit is used for buffer processing the control signal, the driving capacity of the control signal is enhanced, the control signal is transmitted to each wireless Jakka needle block, the transmission time delay of the control signal received by each wireless Jakka needle block is effectively reduced, each guide needle controlled by each wireless Jakka needle block is accurately synchronized to move, and the loop forming quality is improved.

The embodiment of the invention discloses an information processing method and device, and the method executed by a terminal comprises the steps: determining a first round-trip time (RTT) between the terminal and network equipment according to a first transmission time delay and a second transmission time delay between the terminal and the network equipment, the first transmission time delay being associated with a first service cell where the terminal is located, and the second transmission time delay being associated with a second service cell where the terminal is located; the second transmission delay is associated with a second service cell where the terminal is located. Therefore, the problem of how to determine the round-trip delay in the carrier aggregation scene in the NTN system is solved.

The application discloses a layered centralized vehicle team cooperative driving method based on cloud computing, which comprises the following steps: establishing a vehicle team state space equation; uploading driving information to a cloud server; compensating the driving information; establishing a vehicle team driving optimal control problem according to the compensated driving information; solving the optimal control problem based on a Gauss pseudospectrum method and a sequential quadratic programming algorithm to obtain optimal control amount time series of each vehicle in the vehicle team; issuing the generated optimal control amount time series to a vehicle terminal; compensating the optimal control amount time series; controlling the vehicle to track its driving according to the compensated optimal control amount time series; and continuously repeating the above steps to realize vehicle team cooperative driving. The application adopts a centralized control strategy to increase the global optimization capability of the vehicle team and improve the driving efficiency of the vehicle team; and solves the communication time delay problem of the layered vehicle team controller through a vehicle-cloud data transmission time delay compensator, thereby improving the stability of the vehicle team control.

The application discloses an Internet of Things main service platform data analysis cooperation method, relates to the technical field of data analysis, and has the technical scheme as follows: obtaining terminal uploaded data groups to be analyzed, detecting the real-time transmission time delay and data encryption level of each data segment in the terminal uploaded data groups; extracting the fault tolerance coefficient between the real-time transmission time delay and the analysis fault tolerance rate based on historical data analysis cooperation logs, obtaining the analysis fault tolerance deviation value caused by the transmission time delay change according to the fault tolerance coefficient and the real-time transmission time delay; if the real-time transmission time delay of the current Internet of Things main service platform does not interfere with the data encryption analysis algorithm, then the data encryption level and the analysis calculation power consumption are processed to obtain the calculation loss coefficient, the initial analysis calculation power allocation amount is compensated according to the calculation loss coefficient, the data encryption level and the analysis fault tolerance deviation value, and the first actual analysis calculation power is obtained; and the effect is to improve the cooperation efficiency and stability of the whole platform data analysis.

The invention belongs to the technical field of information and communication, and relates to an active user, time delay and channel joint estimation method for a low-precision receiver. The problem that when a receiver adopts a one-bit analog-to-digital converter, transmission delay and channel state estimation precision are too low due to high quantization errors is solved. Performing correlation peak detection on the received signal and the known leader sequence, and preliminarily estimating active users and transmission time delay; the nonlinear receiving model is equivalent to a linear model based on the Bussgang decomposition principle; an expectation maximization algorithm framework is adopted, related parameters are jointly estimated through inner and outer layer iteration, an inner layer constructs a factor graph model based on a Markov chain to update an equivalent channel and a user state, and an outer layer adopts a local search algorithm to update a transmission delay estimation value. The method is used for a 1-bit low-precision receiver in an asynchronous large-scale machine type communication system, and realizes joint acquisition of active user detection, transmission delay estimation and channel state information.

The invention discloses a communication method and device, a storage medium and a program product. The method comprises the steps that a terminal determines first information, the first information indicates service association between a first transmission object and a mooring device of the terminal, and the first information is used for adjusting transmission time delay between network equipment and the terminal; the terminal sends first information to the access network equipment; the access network equipment sends second information based on the first information, and the second information is used for adjusting the transmission delay of a second link between the core network equipment and the access network equipment; or adjusting the transmission delay of a third link between the access network equipment and the terminal based on the first information. By reducing the transmission time delay of the second link or the third link as much as possible, the transmission time delay of the mooring service / data is guaranteed, namely the total transmission time delay of the first link, the second link and the third link is guaranteed, the influence that the transmission time delay of the first link cannot be guaranteed is avoided, and the communication reliability is improved.

The application provides a time delay compensation method, device, apparatus and storage medium. After a UE or a network device acquires a wireless network resource, the UE or the network device determines a time difference of data transmission and reception through the wireless network resource. Based on the time difference corresponding to the UE and the time difference corresponding to the network device, a transmission time delay compensation value of data transmission between the UE and the network device can be determined. According to the transmission time delay compensation value, the UE or the network device can perform time delay compensation processing between the UE and the network device. Compared with the prior art, the application helps to improve the accuracy of time synchronization error between the UE and the network device.

The application relates to the technical field of remote data communication, in particular to a remote data communication method and system for an electronic seal device, which comprises the following steps: acquiring current signals, magnetic field electric signals and infrared electric signals of each local period in each communication section, judging seal states of the local periods, acquiring signal-to-noise ratios of uplink channels in the local periods, and transmission time delays and signal strengths at each moment; calculating first interference values, second interference values and misjudgment risk degrees of the local periods, and dividing priorities of all the local periods in each communication section; determining first risk values, second risk values and channel risk degrees of the local periods, and identifying low-risk periods; encrypting all signals and seal states, forming a sending queue according to the priorities, and transmitting to a remote monitoring terminal in the low-risk periods. The application ensures that the remote monitoring terminal can timely master the real state of transported goods, so as to accurately identify illegal opening of the electronic seal.