29 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 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.

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 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 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.

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 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 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.

In the present invention, a learning device (100) comprises: an object information acquisition unit (120) that acquires object information relating to an object, said object information including object presence information indicating whether the object is present; a delay profile generation unit (113) that generates a delay profile on the basis of reception waves received by a reception antenna element when the reception antenna element receives waves produced by transmission waves transmitted from a transmission antenna element that have reflected off the object; a training data generation unit (130) that, on the basis of the object information acquired by the object information acquisition unit (120) and the delay profile generated by the delay profile generation unit (113), generates training data for generating a trained model; and a machine learning unit (140) that performs machine learning of the training data generated by the training data generation unit (130) and generates a trained model that outputs a detection result for a new object on the basis of the a delay profile input generated by the delay profile generation unit (113).

The invention relates to a vehicle-road cooperative early warning and secondary accident prevention and control system for a continuous downhill road section of an expressway, and belongs to the technical field of intelligent traffic. The system comprises a sensing layer, a processing layer, a communication layer and an execution layer, the sensing layer comprises a plurality of point locations, and each point location is provided with a radar, a camera and a meteorological sensor; the processing layer comprises a plurality of RSUM point locations, and an intelligent road side terminal RSUM is deployed at each RSUM point location; the intelligent road side terminal RSUM has a data edge calculation function and is used for realizing real-time multi-source data fusion calculation and generating an early warning instruction; the execution layer comprises an early warning large screen and a network connection vehicle; the communication layer comprises wireless communication and optical fiber communication. According to the invention, traffic accidents and secondary accidents caused by shielding, information delay and other factors of continuous long downhill road sections of the expressway are solved, and real-time traffic event perception and dynamic early warning, network-connected vehicle and non-network-connected vehicle full-type coverage early warning and active prevention and control of the secondary traffic accidents are realized through multi-stage cooperative early warning.

The invention provides a multi-level emergency safety linkage method and device based on an informatization network, and the method comprises the steps: carrying out the updating of a pre-constructed initial privacy protection atlas based on operation state data and privacy circulation data, and obtaining a target privacy protection atlas; determining a privacy risk event and a corresponding associated entity list based on a preset privacy risk identification rule base in combination with the operation state data and the privacy flow data corresponding to each Internet of Things entity in the target privacy protection map; determining a global emergency strategy and a local emergency strategy based on the equipment global topology network in the target privacy protection map in combination with a preset emergency strategy template library; and decomposing the global emergency strategy based on the associated entity list to obtain emergency sub-tasks corresponding to the Internet of Things entities, and integrating the emergency sub-tasks with the local emergency strategy to obtain an integrated emergency scheme. According to the invention, risk information delay is eliminated, synchronous emergency of each entity is realized, and emergency efficiency and privacy protection efficiency are improved.

The invention discloses an unmanned aerial vehicle inertia / vision integrated navigation method and system, and the method comprises the steps: collecting inertial sensor data in real time, carrying out inertial navigation calculation, and obtaining the attitude, speed and position information of a carrier; establishing an extended Kalman filtering model, taking kinematics constraint of the unmanned aerial vehicle in flight as virtual measurement, and performing filtering correction on an inertial navigation calculation result; receiving visual position information output by the visual map matching system, and performing combined filtering on the visual position information and the inertial navigation information subjected to filtering correction; wherein the delay time of the visual position information is synchronously determined through frame counting, time alignment is performed according to the delay time and the inertial navigation position at the corresponding moment, and then filtering updating is performed. According to the invention, through inertial solution, kinematics constraint filtering and visual combination, the navigation continuity and precision in a satellite denial environment are improved; a delay determination and compensation mechanism based on frame counting synchronization effectively solves the problem of visual information delay fusion.

The invention discloses a charging pile control method and system, and relates to the field of digital information transmission, and the method comprises the steps: obtaining the current charging information of a charging session after the charging session is established with a user terminal, and calculating the initial power-off time according to the current charging information; the initial power-off time is sent to the user terminal, so that the user terminal configures a local timing notification task based on the initial power-off time, and charging completion prompt information is generated when the initial power-off time is up; in the charging process, when a preset trigger event is detected, real-time charging information is obtained, and corrected power-off time is calculated according to the real-time charging information; and when a deviation exists between the corrected power-off time and the initial power-off time, sending the corrected power-off time to the user terminal so as to indicate the user terminal to update the local timing notification task. According to the invention, the charging state information can be ensured to be effectively reached under the condition that the network of the user terminal is not good, and the economic loss of the user caused by information delay is avoided.

The invention belongs to the technical field of container carrying, and particularly relates to equipment for hoisting containers, in particular to hoisting equipment and a reach stacker FTR lock anti-hooking inching control system and method, through a sensing module formed by combining a visual sensor and an inductance type distance detection set, detection of image and distance fusion is achieved, and the detection precision is improved. The two detection sensors in the inductance type distance detection group alternately work according to a preset rule, so that the problem of information delay during switching of the main sensor and the standby sensor in the prior art is avoided, signal interference possibly caused by simultaneous work of the two sensors is prevented, the continuity and reliability of detection are remarkably improved, and the detection efficiency is improved. Interference of complex environments of high humidity, salt mist, large temperature difference, mechanical vibration and the like of a port on a single sensor is overcome.

This invention discloses a low-latency collaborative scheduling and control method and system for multiple devices in an automated warehousing center based on edge computing. The method includes: receiving temporary service requests by an edge computing node; determining, based on the temporary service requests, which automated guided vehicles (AGVs) will perform the temporary services; allocating temporary positioning sequences to the AAVs based on the AAVs' intention to perform the temporary services; determining whether the AAVs have entered a signal shadow area; and if so, sending the temporary positioning sequence to a preset receiving point. This invention enables rapid confirmation of the location of AAVs performing temporary services under unreliable communication conditions, reduces reliance on continuous positioning reporting, improves the real-time performance and stability of queue-jumping task scheduling and conveyor cycle control, and reduces queuing and congestion anomalies caused by information delays.

The invention relates to an on-satellite filtering estimation method for detecting an air moving target track by a satellite, which comprises the following steps of: calculating an air moving target unit vector under a satellite body system according to an optical load focal plane position and a load focal length of a pixel as well as an installation matrix from a load focal plane coordinate system to the satellite body system; according to the unit vector of the air moving target under the satellite body system, calculating the geographic latitude and longitude of the air moving target under the WGS84 coordinate system; according to the geographic longitude and latitude of the air moving target under the WGS84 coordinate system, the geographic longitude and latitude information of the air moving target and the first-order change rate and the second-order change rate of the air moving target are estimated in real time through measurement information time delay compensation, one-step extrapolation calculation and filtering information correction. The method combines the orbit and attitude information of a satellite, solves the geographic latitude and longitude of the air moving target at a specified elevation, compensates the time delay of measurement information by adopting a filtering estimation method, and estimates the geographic latitude and longitude and the change rate of the air moving target.