46 results about "Information delay" patented technology

The invention discloses a time delay constrained Internet of Vehicles multi-mode cooperative sensing method and system. The method comprises the following steps: collecting point cloud data and image data, and carrying out feature extraction, fusion and space projection; constructing a two-dimensional convolution neural network, and extracting a position-level importance probability graph and a mask used for screening key information; constructing a benefit estimation neural network and a constraint evaluation neural network, and predicting expected values of system benefits and constraint conditions; meanwhile, an overall strategy selection module is established; the motorcade carries out target identification and calculates rewards based on information interaction so as to obtain a perception experience sample; and updating network parameters based on the perception experience sample to obtain a final overall strategy selection module. According to the method, the transmitting power, the transmission channel and the sensing data area of the vehicle are optimized based on reinforcement learning, a strategy correction mechanism is introduced, a risk strategy of high time delay or high packet loss is dynamically corrected, and target identification deviation and decision errors caused by sensing information delay and wrong transmission are avoided.

The invention relates to the field of electric digital data processing, and discloses an intelligent clothing inventory management system based on big data, which comprises the steps of deploying an edge computing unit at each inventory node, and constructing a distributed network; each edge calculation unit calculates and broadcasts an inventory potential energy value in real time based on the current inventory and a recent sales rate subjected to multi-source data cross validation; any node autonomously compares the potential energy gradient with the potential energy gradient of an adjacent node, and when the gradient meets a triggering condition, an inventory pulling request is actively generated. The inherent information delay and calculation bottleneck of centralized decision making are eradicated, it is ensured that each allocation is driven by a real market signal subjected to multi-dimensional verification, and then the whole inventory network shows high agility and ordered self-adaption characteristics.

The invention relates to the technical field of vehicle-mounted images, in particular to a lightweight real-time target detection method and system for an automobile data recorder. The method comprises the following steps: collecting a real-time video frame from an automobile data recorder camera, zooming the real-time video frame to a fixed size to obtain a standardized video frame, combining a preset lightweight target detection model, dividing the standardized video frame into a foreground region image and a background region image, and detecting key target information, key target dynamic data and real-time frames are displayed in an enhanced mode, and when a detection result reaches a dangerous condition threshold value, video buzzing alarm and visual prompt are triggered immediately. According to the invention, the analysis of the key target dynamic data is realized, the change trend in the traffic scene can be accurately captured, the information transmission efficiency is improved, and the reaction time assistance caused by information delay is reduced.

The invention relates to the technical field of port information management, and particularly discloses an information integration service virtualization management system, which is characterized in that a two-dimensional plane graph of a berthing area is acquired through a GIS, the two-dimensional plane graph is divided through grid division to acquire first position data, and first state data and first position data of a ship are acquired; dividing the berthing area according to the first state data, determining second position data of the ship in the divided area, marking the ship reaching the berthing area in the berthing area as' arrived ', and updating the' arrived 'ship according to the data, so that a dispatching center can obtain the latest ship dynamic state; therefore, potential safety hazards and operation errors caused by information delay are reduced.

This disclosure relates to the field of optical computing technology, and in particular to an intelligent optical computing nonlinear convolutional chip system, method, and architecture, comprising: an input spatiotemporal transformation module for processing an input one-dimensional matrix to generate a complex-weighted extended channel matrix; an input temporal encoding and nonlinear activation module for performing nonlinear activation and first information delay on the complex-weighted extended channel matrix to obtain a matrix; a one-dimensional convolution processing module for performing matrix multiplication on the first matrix to obtain a second matrix; an output temporal encoding and nonlinear activation module for performing nonlinear activation and second information delay on the second matrix to obtain a third matrix; and an output spatiotemporal transformation module for performing complex-weighted channel fusion operation on the third matrix to obtain an output one-dimensional matrix. This disclosure avoids the use of photoelectric conversion and off-chip devices, realizing an all-optical nonlinear convolutional system that can be cascaded to form a large-scale deep all-optical network with high integration, high speed, and strong scalability.

This invention relates to the field of gate control system technology, and discloses a high-precision gate control system based on the Internet of Things (IoT), comprising: a control terminal, a set of gate components, and a compensation control system. The set of gate components is symmetrically distributed on both sides of the control terminal. Each gate component includes a gate, with gate guide rails on both sides, and a pair of opening and closing screws internally threaded onto the gate. The compensation control system is located within the control terminal and includes an information acquisition and processing system, an error compensation system, and a drive control system. The information acquisition and processing system is used to acquire and process gate information and water flow information. The error compensation system is used to compensate for errors in the drive unit based on delay information. This invention, by employing a compensation control system to control the gate, avoids the adverse effects of information delay on gate control, significantly improves the accuracy of gate control, and greatly increases the reliability of gate control.

The invention discloses a fire-fighting geographic information rapid updating and synchronizing system based on edge calculation, and relates to the technical field of fire-fighting emergency rescue, and the system comprises the following modules: a bidirectional space-time anomaly sensing module which is used for processing and outputting an attention weighted residual image through an improved PredNet model; the abnormal alarm generation module is used for extracting and generating an abnormal alarm tensor; the event semantic analysis module is used for enabling the generated geographic information to update an event tensor; the space-time event aggregation module is used for extracting an aggregation event cluster tensor; the multi-source conflict judgment module is used for generating a conflict event arbitration result tensor; the arbitration result distribution module is used for distributing an arbitration result; and the whole system state synchronization module is used for updating the geographic information record. According to the method, the defects of information delay, data conflict and decision inconsistency of a traditional centralized fire-fighting information system are overcome, and an efficient and accurate solution is provided.

Various aspects of the present disclosure relate to techniques for a learning-based scheduler. A user equipment is configured to receive a configuration for capturing uplink status information, the uplink status information comprising buffer status information, delay status information, or a combination thereof. The user equipment is configured to capture the uplink status information according to the configuration. The user equipment is configured to report the uplink status information to a learning-based scheduler.

This invention discloses a time-delay-constrained multimodal cooperative perception method and system for vehicle-to-everything (V2X) networks, comprising: acquiring point cloud data and image data and performing feature extraction, fusion, and spatial projection; constructing a two-dimensional convolutional neural network to extract a position-level importance probability map and a mask for filtering key information; constructing a benefit estimation neural network and a constraint evaluation neural network to predict the expected values ​​of system benefits and constraint conditions; simultaneously establishing an overall strategy selection module; the vehicle fleet performing target recognition and calculating rewards based on information interaction to obtain perception experience samples; updating network parameters based on perception experience samples to obtain the final overall strategy selection module. This invention optimizes vehicle transmission power, transmission channels, and perception data areas based on reinforcement learning, and introduces a strategy correction mechanism to dynamically correct risky strategies with high latency or high packet loss, avoiding target recognition deviations and decision-making errors caused by perception information delays and erroneous transmission.

The invention discloses an industrial agent collaborative decision-making method and device, and the method comprises the steps: carrying out the semantic coding of industrial data through a semantic encoder, and obtaining a semantic vector; decoding the semantic vector through a semantic decoder to obtain understandable semantic information of the industrial agent; performing fault prediction on the industrial equipment through a fault prediction agent and the understandable semantic information; and / or carrying out resource allocation on the industrial equipment through a resource scheduling agent and the understandable semantic information. Decision information delay is reduced, and decision accuracy is improved.

The application relates to the technical field of risk monitoring, and discloses an engineering cost risk monitoring system and method, which comprises an information insufficiency judging unit, an information delay judging unit and an information falsity judging unit. The information insufficiency judging unit judges whether cost data is missing according to material price fluctuation and construction progress deviation. The information delay judging unit estimates the delay time of reporting according to sudden severe weather and material shortage degree. The information falsity judging unit generates a three-dimensional engineering earthwork building material model according to unmanned aerial vehicle surveying and mapping, and judges whether information falsity exists by comparing the reported quantity of a construction party. The information insufficiency judging unit, the information delay judging unit and the information falsity judging unit can comprehensively cover three core risks of cost data missing, reporting delay and information falsity, and solve the limitations of single dependence on manual auditing or single data source in traditional technologies.

The present invention discloses a multipath information packet encoding and scheduling method for minimizing latency. The method includes: updating lost information packets at the transmitting end through feedback information; planning the transmission order of each packet within a packet scheduling window based on the different transmission rates, feedback delays, and path erasure probabilities of multiple paths; estimating the total number of lost information packets based on the feedback information at the beginning of the scheduling window, and arranging the transmission of repair coding packets at the beginning of the scheduling window and forward error correction coding packets at the end of the scheduling window based on the feedback information delay; and overcoming data packet loss caused by channel errors. The present invention estimates packet loss within the feedback delay, transmits information packets and coding packets in the order they are received, and introduces repair coding packets and forward error correction coding packets to achieve, with virtually no information redundancy, reduced end-to-end latency for information packet transmission in multipath networks with feedback lag.

The disclosure provides a PCIe device and an operating method thereof. The PCIe device can include a throughput calculator configured to calculate a throughput of each of a plurality of functions, a throughput analysis information generator configured to generate throughput analysis information indicating a result of a comparison between a throughput limit and the calculated throughput, a latency time information generator configured to generate, for each function, a latency time for a delayed command acquisition operation based on the throughput analysis information, a command lookup table storage configured to store command-related information including information related to a target command to be acquired from a host and a latency time of a function corresponding to the target command, and a command acquirer configured to acquire the target command based on the command-related information and the latency time of the corresponding function.

The application relates to the technical field of fire safety and protection, and discloses a household intelligent fire safety linkage system and method, which comprises a household gateway, wireless sub-devices and a cloud server. A communication networking module dynamically prolongs a heartbeat interval in combination with the residual power of the equipment when the gateway is powered off; a collision avoidance acquisition module calculates a danger index when the acquired parameters exceed preset parameter thresholds, introduces a danger weight into an avoidance mechanism, and sends an alarm signal; a priority scheduling module calculates a processing priority in combination with the danger weight and queue residence time, packs high-density data frames, and uploads the data frames to the cloud; and a cloud linkage module analyzes data and opens multiple threads to issue alarms. The application reduces power consumption and prolongs the endurance of the system in the power-off state through dynamic adjustment of the heartbeat mechanism; through the danger weight collision avoidance algorithm and the priority scheduling strategy, high-risk alarm conditions are ensured to preempt the channel and be quickly uploaded, and communication congestion and disaster information delay caused by concurrency are avoided.

Traditional stadiums had limitations in improving spectator engagement and the viewing experience, requiring manual processes for things like match commentary, statistics analysis, and player feedback. This resulted in information delays and human errors, making it difficult to provide the best possible experience for spectators and players. There was also a lack of features and technologies to maximize monetization opportunities. [Solution] A means for acquiring video feeds and real-time event data of the match, A means for analyzing acquired video feeds and event data in real time and automatically generating explanatory text, A means of sending the generated explanatory text to the user's terminal and displaying it, A system that includes this.

The invention discloses a distributed double-arm cooperative tail end position tracking method under information delay, and the method comprises the steps: employing an observation fusion structure based on double-layer Kalman filtering, and respectively building two independent Kalman filters for processing high-frequency joint data and low-frequency visual observation; and the jump caused by time misalignment is relieved through linear interpolation, when a certain type of observation is unreliable, the system automatically adjusts the confidence coefficient weight, and finally the fused end position estimation is output. Compared with the prior art, the adaptive capacity of the system in the face of information delay is further improved, high-precision end position estimation is achieved under the conditions of information delay and uncertain observation data, and the method can be deployed in task scenes with high requirements for response frequency, such as industrial sites.

The in-vehicle device includes a reception unit that receives a plurality of change information each indicating a change in a measurement result of a plurality of sensors mounted on a vehicle via a transmission path, a delay processing unit that performs delay processing of at least any one of the plurality of change information received by the reception unit, and a detection unit that detects an anomaly based on an internal output sequence that is an output sequence of the plurality of change information output by the delay processing unit.

To provide a biometric authentication device, biometric authentication system, biometric authentication method and program, which make it easier for users to receive services provided for specific users.SOLUTION: A biometric authentication device provided herein is communicably connected to a service provision device and comprises a user information reading unit, information delayed transmission unit, biometric information acquisition unit, and biometric information verification unit.SELECTED DRAWING: Figure 9

This application discloses a work order management method, device, storage medium, and program product, belonging to the field of computer technology. In this application, a link to an online document is sent to the target account. This online document records feedback information input for abnormal issues related to the target application. When specified conditions are met, the online document is accessed, and it is determined whether new feedback information exists in the online document. In response to the presence of new first feedback information for a first abnormal issue in the online document file, a work order is created based on the first feedback information. This application significantly saves human resources, avoids information delays or omissions, and greatly improves the efficiency of work order creation, thereby improving problem response efficiency.

The invention discloses an intelligent networked vehicle collaborative optimization control method and system under multi-vehicle communication, and the method comprises the steps: carrying out the vehicle distance adjustment through employing a queue control mode, and enabling a following vehicle to carry out the vehicle distance adjustment based on an error weighting mode considering the multi-source information delay; in other words, the expected acceleration of the vehicle is determined in the mode that the distance error, the speed error and the acceleration error between the vehicle and the front vehicle or between multiple vehicles in front are multiplied by corresponding control parameters, and then the weighted sum or the weighted cumulative sum is obtained; wherein each error takes into account an information tracing time and a state prediction time between vehicles to cope with perception delay, communication delay information and execution delay. According to the invention, an intelligent network connection vehicle queue control multi-objective optimization model is further constructed, and adjacent random search and a nonlinear decreasing weight strategy are introduced to improve a particle swarm optimization algorithm to solve the multi-objective optimization model so as to select values of control parameters. The method is simple and easy to implement, and the control performance and stability of the intelligent network connection vehicle queue can be improved.

The invention discloses a block chain-based regional pipe network water quality and quantity monitoring data automatic chaining device, which relates to the technical field of pipe network monitoring, and comprises a block chain center, a data acquisition module, a regional database, a data processing module, a data analysis module, a regional association module and a chaining end, whether operation of an underground pipe network is abnormal or not is judged according to periodically obtained pipe network monitoring data, and the position or area where the abnormality is located and adjacent terminals affected by the position or area where the abnormality is located are determined; an exclusive communication link used for uploading the pipe network monitoring data uploaded and acquired by the data acquisition terminals in real time is constructed in the uplink end, so that the block chain center can obtain the pipe network monitoring data of the abnormal position updated in real time; therefore, corresponding deployment can be made and corresponding solutions can be given according to field conditions, and misjudgment caused by information delay is reduced.

The present invention relates to the field of collaborative communication technology using multiple support vehicles, and discloses a collaborative communication method and system for power support vehicles based on peacetime and wartime integration. The method includes constructing a basic communication network for power support vehicles to enable communication between the power support vehicles and the command center; merging data from multiple power support vehicles based on ultra-power Bluetooth technology and transmitting the merged data back to the command center for interpretation; judging the communication status of the power support vehicles in real time and determining and ensuring combat readiness communications based on the judgment results; constructing secondary communication based on primary communication in a combat readiness environment to compress on-site images and transmit them back to the command center for decompression; and performing information delay synchronization when the power support vehicle and the command center are unable to communicate. The present invention classifies and compresses on-site data, realizes the perception of the on-site conditions of power operations in the shortest possible information transmission method, and transmits the on-site power operation information back to the command center quickly, accurately, and comprehensively through as little information interaction as possible.

The invention discloses an Internet of Things holographic sensing terminal access method and system for a direct connection ring main unit DTU, and relates to the technical field of power system distribution automation. The method has the beneficial effects that the integrity and reliability of the existing DTU are protected, power failure is not needed in the deployment process, and the implementation cost is reduced by more than 30%; fusion acquisition of electrical, environment, state and video data is realized, and'holographic perception 'is really realized; a dead zone threshold mechanism reduces more than 70% of redundant data traffic; the state burst mechanism controls the key information delay within 100ms; the point table mapping method is adaptive to different models of DTUs; and the standardized interface supports flexible expansion of future sensors.

The embodiment of the present application relates to the technical field of network protection, and discloses a kind of power distribution network protection setting value setting method and setting system, the method comprises: simulation obtains the sampling information delay data under different communication scenarios, to form simulation delay database;Through sampling delay compensation, obtain current delay information;According to the current delay information, determine the current communication scenario from the simulation delay database;Obtain the delay distribution information corresponding to the current communication scenario;According to the delay distribution information, adjust the power distribution network protection setting value corresponding to the current communication scenario. Implement the embodiment of the present application, can adjust the action setting value size of network protection, obtain the effect that protection setting value and sampling synchronization condition are self-adapting.

The application discloses a grounding wire full life cycle management method, wherein the method comprises the following steps: establishing a grounding wire basic information database through a visual configuration platform, generating a unique identity for each grounding wire and associating the unique identity to a physical carrier; scanning the identity on the physical carrier through a mobile terminal, obtaining the grounding wire identity information and receiving a state change instruction submitted by an operator; updating the running state of the corresponding grounding wire in the database according to the state change instruction, and recording an operation log containing an operation time, an operator and a geographic position; and based on a preset logical rule, the updated running state is monitored in real time, and when an abnormal state is detected, an alarm information is automatically generated and pushed to a specified terminal. The application realizes real-time synchronization of grounding wire field operation and state updating, eliminates the information delay window, effectively prevents electrical misoperation accidents, significantly shortens the operation time, improves the recording accuracy, and reduces the system development cost and cycle.

The present invention discloses a method for wirelessly collecting information from multiple devices. The system structure of the present invention includes: a wireless collecting terminal device as a master device, and multiple wireless collected terminal devices as slave devices, and the master device has the function of low-power Bluetooth standard version 5.3. The master device and the slave device establish Bluetooth BLE ACL connection links one by one, and the slave device configures the connection parameters according to its own data collection cycle and the amount of data collected each time, and the master device allocates transmission time slots for each wireless collected terminal device. The master device sends an empty packet or a packet with control information to the slave device in the transmission time slot occupied by the BLE ACL connection link where the slave device is located. After receiving the packet sent by the master device, the slave device sends the collected information to the master device. In the present invention, the master and slave devices maintain a low-speed connection, which avoids the delay in collecting information caused by the long time to establish the connection. The present invention meets the real-time collection requirements of information and realizes low-power real-time information collection.

The invention relates to a truth value construction method fusing a high-precision map and an Internet of Vehicles technology. The method comprises the following steps: step 1, acquiring high-precision map information and Internet of Vehicles communication information; 2, aligning the dynamic object data of the Internet of Vehicles communication information with a high-precision map coordinate system by adopting an instant positioning mapping technology, compensating the delay of the Internet of Vehicles information, and ensuring that the data time sequence is consistent, so as to complete data preprocessing; step 3, generating a lane-level drivable area and traffic rule constraints based on the high-precision map information data, increasing real-time traffic participant tracks and events provided by the Internet of Vehicles, embedding traffic signal lamp states and priority rules, and completing scene construction; and step 4, generating truth value data from the preprocessed data through the constructed scene model so as to support multi-dimensional performance evaluation of the automatic driving algorithm. According to the technical scheme provided by the invention, the communication reliability and security are improved.

The invention provides a communication method and device, relates to the technical field of communication, and is used for solving the problem that the time delay of blind detection of control information by a terminal is relatively large in a multi-service or multi-data multiplexing scene. The method comprises: a network device sending first control information to a terminal, the first control information being used for indicating scheduling of second control information corresponding to a plurality of data, the plurality of data at least comprising first data and second data; and the network equipment sends second control information to the terminal, wherein the second control information is used for indicating scheduling corresponding to the multiple pieces of data.

The present application relates to a method for optimizing the Age of Information (AoI) of data packet uplink transmission under the pure Aloha protocol in LoRa, aiming to improve the timeliness of data packets, optimize the quality of data transmission, and reduce information delay and system response time. It includes: a system model for collision and retransmission of LoRa data packet transmission process under the pure Aloha protocol is established, and the possible impact of data packet retransmission on LoRa security is analyzed. The model takes into account channel selection, spreading factor (SF) setting and possible data packet collision in LoRa network. By analyzing the transmission effect of different channel and spreading factor combinations, the collision probability of data packets in the transmission process and its impact on AoI can be calculated. In order to achieve the optimal channel and SF selection, the present application adopts the method of deep reinforcement learning, constructs a training model to dynamically select the best transmission strategy, adjusts the channel selection and spreading factor intelligently, reduces the collision events and the number of retransmissions, and thus improves the timeliness of data packets and the security of LoRa network. The present application is suitable for various LoRa Internet of Things applications, including but not limited to smart city, environmental monitoring, intelligent agriculture, intelligent logistics and other fields, especially for Internet of Things application scenarios that require high timeliness and real-time response, and has important practical value.

The present application provides a train control method, device, electronic device, and readable storage medium, which are applied to the field of vehicle control technology. The train control method includes: a remote input / output module applied to a train car, the method including: receiving a jump instruction sent by a vehicle controller, the jump instruction including at least a jump direction and a jump distance; calculating jump drive information based on the jump direction and jump distance; and controlling the train to jump based on the jump drive information. By transferring the control process of train jumping from the vehicle control unit to the remote input / output module in the train car, the present application can reduce the information delay caused by data transmission during the train jumping process, thereby improving the accuracy of the train jumping.