225 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 provides an intelligent short message link efficient detection method and system. According to the method, unmanned aerial vehicle cluster deployment is used for forming a dynamic communication topology, and the dynamic communication topology is used for monitoring the time delay mutation rate and the packet loss rate of a damaged short message link in real time and generating a state fluctuation sequence. When it is detected that the transmission time delay gradient exceeds an emergency communication threshold value, an abnormal marking mechanism is triggered, and abnormal association clusters and the space-time coupling relation of the abnormal association clusters are recognized by analyzing the data. Then, the information is bound with timestamps, and a block chain state change event is generated by using a multi-node parallel evidence storage technology; and adjusting the distribution density of the unmanned aerial vehicle according to a verification result, and generating a topology reconstruction factor so as to update a short message transmission path and optimize a communication network. According to the technical scheme provided by the invention, the stability and reliability of efficient detection of the short message link can be improved.

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 invention relates to the technical field of data center remote operation, and discloses a data center remote operation method and system based on collection gateway analysis, and the method comprises the steps: obtaining gateway resource data and data flow priority attributes; quantifying according to the resource data to obtain a cache length; when the cache length is greater than a length threshold value, processing by adopting a dynamic load balancing algorithm to obtain a migration data stream; analyzing according to the data stream to obtain a timestamp and a serial number; measuring according to the timestamp and the serial number to obtain transmission delay and packet loss rate; performing evaluation according to the transmission time delay and the packet loss rate, and performing link dynamic switching to obtain a backup transmission path when an evaluation result is a main link fault; according to the backup transmission path, adopting a distributed routing protocol to calculate and obtain a data transmission path; monitoring according to the data transmission path to obtain monitoring data; predicting according to the monitoring data to obtain an adjustment result; and performing optimization according to an adjustment result, and dynamically switching the main link and the standby link to perform data transmission. The method can solve the problem of low overall data transmission efficiency.

The invention belongs to the technical field of information and communication, and relates to an active user detection and data decoding method of an asynchronous massive machine type communication system. Aiming at the problem that the detection and estimation performance is reduced due to unknown user time delay in asynchronous transmission, the method comprises the following steps: initial estimation and preprocessing: detecting initial active users and transmission time delay thereof through correlation peaks, and whitening received signals; the iterative joint detection and channel estimation module is used for iteratively updating channel information and data symbol information for multiple rounds based on a factor graph and a message passing algorithm; the data decoding module is used for decoding data based on a soft decision device; the detection and decoding performance is improved by transmitting external information among the modules; and the time delay parameter updating adopts a greedy search algorithm to obtain the optimal time delay. According to the method, the active user detection rate, the channel estimation precision and the data decoding accuracy under the condition that the receiving and transmitting ends are completely asynchronous are improved.

The invention discloses an Internet of Things main service platform data analysis cooperation method, and relates to the technical field of data analysis, and the method comprises the following steps: obtaining a to-be-analyzed terminal uploading data set, and detecting the real-time transmission time delay and data encryption level of each data segment in the terminal uploading data set; based on the historical data analysis collaborative log, extracting a tolerance loss coefficient between the real-time transmission time delay and the analysis fault-tolerant rate, and obtaining an analysis fault-tolerant deviation value caused by transmission time delay change according to the tolerance loss 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 cause interference on the data encryption analysis algorithm, processing the data encryption grade and the analysis calculation power consumption to obtain a calculation loss coefficient, and performing calculation power compensation on the initial analysis calculation power distribution quantity according to the calculation loss coefficient, the data encryption grade and the analysis fault-tolerant deviation value; obtaining a first actual analytical calculation force; the method has the effect of improving the collaboration efficiency and stability of data analysis of the whole platform.

A parameter determination method, communication device and system, the method being executed by a transmission device connected with a first client device of a first data center, the method comprising: determining a transmission delay and / or a transmission distance of a transmission pipeline between the first data center and a second data center; time delay indication information is sent to the first client side equipment, the time delay indication information indicates transmission time delay and / or a transmission distance, and the transmission time delay and / or the transmission distance are / is used for determining at least one of the following items: the number of sending queues, the depth and the block size of a message block of the service data; wherein the service data is from the first client side equipment and needs to be transmitted through the transmission pipeline, and the sending queue is a queue of the first client side equipment when the service data is sent through the transmission pipeline. The technical scheme can be applied to the technical field of communication, and when data long-distance transmission is carried out based on the RDMA, the throughput during data transmission is improved, so that the efficiency of data long-distance transmission is improved.

The invention relates to a communication method, device and system. The third core network element determines a first computing power resource according to a time delay threshold value of the first computing task and the first time delay, the first computing power resource is a computing power resource required by the computing node for processing the first computing task, and the time delay threshold value is related to an end-to-end time delay requirement of the first computing task; the first time delay is a transmission time delay for transmitting the message corresponding to the first calculation task between the terminal equipment and the network element of the access network. And the third core network element sends a first request for triggering the first computing node to process the first computing task by using the first computing power resource. According to the embodiment of the invention, the sum of the processing time delay of the first computing node and the transmission time delay of the message (namely, the actual end-to-end time delay) can meet the end-to-end time delay requirement of the first computing task as much as possible, so that the access efficiency of the first computing task is improved, and the user experience is also 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 an automatic driving-oriented time-sensitive network time delay control method and system, and relates to the technical field of network communication, and the method comprises the steps: obtaining data packet transmission time delay information and network topology information, and generating a candidate transmission path set based on node connectivity layering and state space search; historical time delay data are collected, and prediction calculation and weight distribution are carried out; and iteratively updating the time delay weight based on the hierarchical time scale, and selecting a path with the highest comprehensive score to forward the data packet. According to the invention, the network transmission time delay of the automatic driving system can be effectively reduced, and the stability and reliability of data transmission are improved.

The invention belongs to the field of communication, and provides a dynamic clock synchronization method based on bidirectional time delay calibration, which is used for solving the problem of insufficient clock synchronization precision between base stations caused by environment change and signal transmission time delay fluctuation in the prior art. In the invention, a master base station sends a local synchronization signal to a slave base station, the slave base station performs synchronization state detection after receiving the synchronization signal, enters an asynchronous state after detection failure, and returns an asynchronous signal to the master base station; the master base station measures the transmission delay between the master base station and the slave base station after receiving the asynchronous signal; meanwhile, environment parameters of the master and slave base stations are monitored in real time through an environment sensor, and the master base station calculates an environment compensation correction value according to the environment parameters of the master and slave base stations; the main base station adjusts a local clock in real time on the basis of the transmission time delay and the environment compensation correction value, and dynamic clock synchronization is achieved; in conclusion, through bidirectional time delay calibration and real-time environment compensation, the clock synchronization precision between the base stations is remarkably improved.

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 invention discloses an NTN data transmission method and device, equipment, a storage medium and a program product. The method comprises the following steps: repeatedly transmitting downlink data in continuous M time slots under the condition that a downlink transmission error rate exceeds a first threshold value and a transmission delay exceeds a second threshold value, and / or, under the condition that the downlink transmission error rate does not exceed a first threshold value or the downlink transmission time delay does not exceed a second threshold value, according to the downlink transmission error rate and the transmission time delay, determining the HARQ process number NDL for starting the HARQ feedback, and starting the HARQ feedback for the NDL HARQ processes; and / or, under the condition that the uplink transmission error rate does not exceed a third threshold value or the transmission time delay does not exceed a fourth threshold value, according to the uplink transmission error rate and the transmission time delay, determining the number NUL of HARQ processes using the first mode, using the first mode for the NUL HARQ processes, and using the second mode for the remaining HARQ processes, the second mode indicates that one uplink HARQ process is allowed to be scheduled again after a first duration. The embodiment of the invention can improve the data transmission efficiency.

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 present invention discloses a multi-agent collaborative perception method under complex noise based on lidar, which includes the following steps: Step S1, perform coordinate transformation and preprocessing on the lidar point cloud of the collaborative agents; Step S2, use the method of deep learning to extract the feature maps of the lidar point clouds of all collaborative agents, and then compress the feature maps of the lidar point clouds of the collaborative agents and transmit them to the central vehicle; Step S3, the central vehicle decompresses the received feature maps of the lidar point clouds of the collaborative agents, and at the same time uses the feature maps of the lidar point clouds of a small number of previously received collaborative agents to perform corresponding deep learning processing on the transmission time delay and relative pose error; Step S4, the central vehicle uses the attention mechanism to fuse the feature maps of the lidar point clouds of the collaborative agents into the feature map of the central vehicle to obtain the final feature map; Step S5, send the final feature map into the detection head to obtain the detection result; solves the problem of the performance degradation of the multi-agent perception system under the transmission time delay and relative pose error.

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 invention relates to the field of signal loop control, particularly discloses a medium-voltage switch cabinet intelligent signal loop system and method based on a wireless ad hoc network, and constructs a collaborative diagnosis system composed of intelligent sensing nodes, an edge computing gateway and the wireless ad hoc network. The intelligent sensing node immediately captures and encapsulates state data containing a high-precision local timestamp at the moment that the state of the circuit breaker changes. After the data is transmitted to the edge computing gateway through the wireless ad hoc network in a multi-hop mode, the gateway carries out deep analysis on the received data packet through a special time sequence analysis algorithm, and therefore inherent mechanical operation time delay and variable wireless network transmission time delay can be effectively separated out. Therefore, the technical problem of unreliable diagnosis result caused by confusion of network delay jitter and mechanical delay is solved, and accurate judgment of the equipment state is realized.

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 invention provides a data retransmission method and device, related equipment, a storage medium and a program product, and is applied to the technical field of communication, and the method comprises the steps: a transmitting end determines the retransmission time delay of each retransmission path in a target retransmission path set after determining that a target data packet is lost; selecting a target transmission path with the minimum retransmission time delay from the target retransmission path set; and under the condition that the retransmission time delay of the target transmission path meets a first preset condition, determining to use the target transmission path to retransmit the target data packet to the receiving end. In the method, the target transmission path with the minimum retransmission time delay is selected from the target retransmission path set which can be used for retransmitting the data packet, so that the transmission time delay can be reduced as much as possible for a service with relatively strong time delay constraint, and furthermore, the transmission efficiency is improved. When the retransmission delay of the target transmission path meets the first preset condition, it is determined that the target transmission path is utilized to retransmit the target data packet, so that meaningless retransmission can be avoided, and waste of resources is reduced.

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.

The invention provides an ant colony algorithm initialization method and system based on an ISIS protocol, and the method comprises the steps: collecting network topology information in real time based on the ISIS protocol, including a node set, a link set and cost parameters of each link, the cost parameters including transmission time delay, bandwidth utilization rate and packet loss rate; constructing a comprehensive cost evaluation model based on weighted summation of the cost parameters of the links; a pheromone matrix of the ant colony algorithm is initialized based on the result of the comprehensive cost evaluation model, and the link comprehensive cost is inversely proportional to the initial pheromone value; constructing a heuristic information model according to the network topology information, wherein the heuristic information model is the reciprocal of the comprehensive cost; and based on the pheromone matrix and the heuristic information model, initializing a node selection probability function of an ant colony algorithm, and executing the ant colony algorithm to iteratively solve an optimal routing path. According to the method, the real-time network information obtained by the ISIS protocol is used for the initialization of the ant colony algorithm, so that the initialization precision can be improved.

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 data transmission, and discloses a method and system for realizing U disk data transmission based on UWB communication, and the method comprises the steps: firstly obtaining equipment characteristic parameters corresponding to a target U disk, recognizing a UWB hardware identification code to determine a communication spectrum range, and dividing a wireless channel environment in combination with a scanning protocol to obtain an accessible frequency band; detecting interference intensity of each frequency band, and analyzing pulse fluctuation characteristics, a transmission error code threshold value and data retransmission times; determining a data attenuation threshold, analyzing a transmission time delay component and calculating a balance compensation index; determining a symbol synchronization path according to the index, and checking the phase deviation tolerance to determine the data transfer state; and finally, based on the state, checking file writing characteristics, and through anti-interference adjustment and time slot optimization, generating a UWB communication data transmission scheme. According to the invention, the USB flash disk data transmission distance, speed and scene adaptability can be improved.

The invention discloses a train positioning method, system and device based on a head-tail redundant architecture and a medium. The method comprises the steps that redundant vehicle-mounted devices at the head end and the tail end of a train periodically calculate local-end train positioning; when the vehicle-mounted devices at the two ends complete positioning, the positioning messages at the two ends are interacted through the vehicle-mounted network; after the home terminal receives the far-end positioning message, the message transmission time delay is calculated, the number of teeth running in the time delay is subjected to displacement over-estimation compensation calculation according to the slip state of the home terminal, the calculated compensation displacement is accumulated to the far-end positioning message, and over-estimated far-end positioning is generated; judging whether the local terminal positioning and the far-end over-estimation positioning have an intersection or not; if so, taking the intersection as the local terminal train positioning Train Loc after the two ends are fused; and if the intersection does not exist, judging that the home terminal is out of position. Compared with the prior art, the method has the advantages that the positioning precision can be improved without increasing the hardware cost, error accumulation is reduced, and stable support is provided for high-density and high-precision urban rail operation requirements.