87 results about "Information delay" patented technology

The invention relates to the technical field of cold-chain logistics information, and discloses a multi-mode AIGC cold-chain logistics information processing method and system, and the method comprises the steps: carrying out the feature extraction and feature enhancement of video data, temperature data and position data in a cold-chain logistics system based on a logistics information AIGC model, and obtaining an enhanced feature matrix; carrying out digital twinborn modeling to obtain a digital twinborn model of the logistics system, and constructing a state parameter space; performing deep reinforcement learning and information delay index calculation to generate a real-time data synchronization scheme; constructing a distribution network graph structure, and performing depth map network coding on the distribution network graph structure to obtain a distribution network representation vector; and performing multi-agent collaborative decision-making on the distribution network representation vector to obtain a cold chain distribution scheduling scheme, and updating the cold chain distribution scheduling scheme to the logistics system digital twinborn model. Therefore, intelligent scheduling and accurate control of the cold-chain logistics system in a complex scene are realized.

The invention relates to the technical field of data processing systems for supervision or prediction, in particular to a road and bridge deck sudden collapse early warning system and method based on the Internet of Things, and the system comprises a deformation monitoring system which is used for collecting the deformation data of a road and bridge deck; the data processing system is used for processing the deformation data based on the Internet of Things so as to obtain effective data meeting a preset storage condition; and the early warning management center is used for inputting the effective data into a pre-constructed road and bridge surface collapse risk prediction model to obtain a risk assessment result and a trend prediction result of the road and bridge surface so as to carry out early warning on sudden collapse of the road and bridge surface. Therefore, the problems of low data precision, poor credibility, early warning information delay, increased safety risk and the like caused by the fact that an early warning system only depends on a single technology, is easily influenced by environmental factors and cannot comprehensively capture various abnormal signals which may predict collapse in related technologies are solved.

A data transmission method and a communication device, the method comprising: receiving first information indicating a delay in submitting a first data packet to a first protocol layer, the first information being information of a second protocol layer, the first protocol layer being a previous protocol layer of the second protocol layer; and according to the first information, delaying a first duration to submit the first data packet to the first protocol layer. The data transmission efficiency can be improved, and the condition of network congestion is reduced.

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.

Provided are a Peripheral Component Interconnect Express (PCIe) device and a method of operating the same. The PCIe device may include a performance analyzer, a delay time information generato and a command fetcher. The performance analyzer may measure throughputs of a plurality of functions, and generate throughput analysis information indicating a comparison result between the throughputs of the plurality of functions and throughput limits corresponding to the plurality of functions. The delay time information generator may generate a delay time for delaying a command fetch operation for each of the plurality of functions based on the throughput analysis information. The command fetcher may fetch a target command from a host based on a delay time of a function corresponding to the target command.

The invention relates to the technical field of farmland pest real-time detection, in particular to a farmland pest real-time detection device, method and system based on an unmanned aerial vehicle, and the device comprises the unmanned aerial vehicle, a flight control system, a remote controller, a camera, a camera remote controller, an airborne computer, a 4G communication module and a ground workstation. A detection result is transmitted to a ground work station in real time through the 4G communication module, so that the real-time performance of data is ensured, the lagging of information processing during pest outbreak is reduced, and pest diffusion caused by information delay is avoided; according to the method, pests are automatically identified based on an improved YOLOv10 network model, a weight file is deployed on an airborne computer of an unmanned aerial vehicle and real-time detection is carried out, images can be directly processed in the flight process, a detection result can be rapidly obtained, information lag is avoided, it is ensured that prevention and control measures can be taken in time when pests burst out, and the control efficiency is improved. Therefore, crop loss is reduced.

The invention relates to the technical field of software development, in particular to a software development and design information issuing method and system, and the method comprises the following steps: obtaining a software development and design platform code submission record, analyzing a calling path and interface adjustment times, counting a calling change quantity, and generating a development change content data set. According to the method, the calling path and the interface adjustment frequency in the code submission record are analyzed, the calling change number and the change content are recognized, omission and errors in information statistics are avoided, the labeling sequence and the display position are adjusted, dynamic optimization of information display is achieved, classification and sorting are carried out based on the response time and the data transmission rate, and the efficiency is improved. According to the method, different information issuing priorities are formulated, high and low peak periods of a system are identified, and pushing time is dynamically adjusted according to the change of the number of requests, so that system congestion and information delay caused by peak period pushing are avoided, efficient and accurate information issuing is realized, and efficient transmission and synchronization of software development and design information in multiple terminals and multiple scenes are promoted.

The embodiment of the invention provides an information processing method and device, a storage medium and a program product. In the embodiment of the invention, after the intelligent customer service enters the trusteeship state, the question information and the subsequent question information received within the validity period of the distributed lock are stored in the message queue as a current batch of question information needing delay processing, the delay processing can give real communication feeling to merchants, and the service experience of the merchants is improved. Furthermore, under the condition that timing of the timing task of the message queue is finished, an AI question and answer service model based on artificial intelligence is called to perform unified reply processing on the question information currently needing delay processing in the message queue, so that target reply information corresponding to the obtained question information is sent to a client of a target merchant; and the target merchant can check the target reply information corresponding to each piece of question information, so that manual customer service is replaced, the labor is saved, and the question processing efficiency is improved.

Provided are a Peripheral Component Interconnect Express (PCIe) device and a method of operating the same. The PCIe device may include a performance analyzer, a delay time information generator and a command fetcher. The performance analyzer may measure throughputs of a plurality of functions, and generate throughput analysis information indicating a comparison result between the throughputs of the plurality of functions and throughput limits corresponding to the plurality of functions. The delay time information generator may generate a delay time for delaying a command fetch operation for each of the plurality of functions based on the throughput analysis information. The command fetcher may fetch a target command from a host based on a delay time of a function corresponding to the target command.

The present application relates to the field of cold chain logistics information technology, and discloses a multimodal AIGC cold chain logistics information processing method and system, which includes: based on the logistics information AIGC model, feature extraction and feature enhancement of video data, temperature data and location data in the cold chain logistics system to obtain an enhanced feature matrix; digital twin modeling to obtain a digital twin model of the logistics system, and construct a state parameter space; deep reinforcement learning and information delay index calculation to generate a real-time data synchronization solution; construct a distribution network graph structure, and perform deep graph network coding on the distribution network graph structure to obtain a distribution network representation vector; perform multi-agent collaborative decision-making on the distribution network representation vector to obtain a cold chain distribution scheduling plan, and update the cold chain distribution scheduling plan to the logistics system digital twin model. In this way, the intelligent scheduling and precise control of the cold chain logistics system in complex scenarios are realized.

The invention discloses a network public opinion event multi-department coordination response method and system, and relates to the technical field of multi-department response, and the method comprises the following steps: S1, an enterprise establishes a public opinion group in which a plurality of departments participate, and the public opinion group carries out the unified commanding and scheduling, and guarantees that each department can rapidly respond and cooperate with each other when a public opinion event occurs; and S2, the public gateway department assists in monitoring the dynamic state of the public opinion by defining the monitoring target and range, utilizing a whole-network public opinion monitoring tool, utilizing a social network public opinion monitoring tool, judging emotional tendency, searching engines, user feedback, public opinion analysis and information visualization. In the network public opinion management, through coordination response work of multiple departments, the departments closely cooperate and jointly face challenges according to clear responsibility division and efficient communication processes, so that the cooperation mode not only accelerates information transmission and processing, but also effectively avoids information delay and misunderstanding; and the timeliness and accuracy of the public opinion information are greatly improved.

The invention discloses a transformer substation secondary system modeling method and related equipment, and relates to the field of power system modeling.The method comprises the steps that firstly, feature information, hierarchical relations and connection relations of electrical elements are extracted from a transformer substation secondary system configuration file, and the system structure is comprehensively mastered; generating a historical information time sequence in combination with historical information of the transformer substation; then respectively mining a time influence factor and a space influence factor by using a long short-term memory network and a multiple regression model; and finally, establishing a global simulation model based on a digital twinning technology. According to the scheme, equipment operation data is deeply mined, and the data integration problem is solved; the space-time dimension is fully considered, and the equipment state is accurately simulated; information delay is reduced by means of a real-time data mechanism, and virtual-real synchronization is guaranteed; model lightweight and compatibility are achieved, and the multi-scene requirement is met. Therefore, active operation and maintenance decision is achieved, and the operation and maintenance efficiency and safety of the substation are remarkably improved.

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 discloses a picking management method and system based on a WMS system, and the method comprises the following steps: obtaining an express sheet, and issuing a picking task in the WMS system according to the express sheet; obtaining goods information according to the goods picking task, and distributing a goods picker; executing a picking task; and reporting an execution result of the order picking task to the WMS system. A traditional order picking task is combined with the WMS system, so that the preparation, transmission and processing time of paper receipts is shortened, an order picker can obtain task information more quickly and start working, and the cost caused by the paper receipts is also reduced; the order picking task is published through the WMS, the order picking task is processed through the execution end, the order picking task and inventory data can be updated in real time, and repeated work caused by information delay or errors is avoided; and meanwhile, a picker can acquire tasks at any time through the execution end and is not limited by a fixed working position.

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.

The invention discloses a message sending method. The method comprises the following steps: obtaining target message content to be sent to a message receiving end by a message sending end and a message sending requirement of the message sending end; and judging whether the terminal number of the message receiving end is an active 5G terminal number or not. And if the terminal number of the message receiving end is the active 5G terminal number, issuing the target message content to a message, namely a platform, so that the message, namely the platform, sends the target message content to the message receiving end by adopting a 5G message. And if the terminal number of the message receiving end is not the active 5G terminal number, issuing the target message content to a short message intermediate station, so that the short message intermediate station sends the target message content to the message receiving end by adopting a falling short message of the 5G message. According to the invention, whether the 5G message is directly sent or the fallback short message is directly sent can be selected according to whether the message receiving end supports the 5G message, so that the probability of sending failure is reduced to a certain extent, and the problems of channel backlog and information delay caused by re-sending are avoided.

The invention relates to the technical field of communication transmission, in particular to a communication blind area fire-fighting information reliable transmission method based on a Beidou short message, which comprises the following steps of: acquiring sending message data, position data and sending signal strength, and acquiring receiving message data and receiving signal strength; obtaining a key information delay index according to the time difference of the corresponding key information in the sent message data and the received message data in combination with the difference between the key information amount in the sent message data and the key information amount in the received message data; analyzing the signal movement loss condition according to the time difference between adjacent different position data when the message is sent, and obtaining a transmission priority index by combining the difference between the sending signal strength and the receiving signal strength and the key information delay index; and analyzing the signal transmission frequency of the segmented data transmission according to the transmission priority index, and determining an optimal transmission method of the fire-fighting information. According to the invention, the stability and reliability of the fire-fighting information in the communication blind area in the transmission process are ensured.

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.

The present invention relates to the field of wireless communications technology and discloses a short packet MEC network transmission optimization method based on information age and delay. The method comprises: initializing relevant parameters of the short packet MEC network, the short packet MEC network comprising a local device and a mobile edge server; generating state update information P based on the state of the mobile edge server; determining the first-order moment of the state update information delay #imgabs0# and the first-order moment of the state update information calculation completion interval #imgabs1# based on the state update information P; determining the average delay and average peak information age of the state update information P; establishing a multi-objective optimization function based on the average delay and average peak information age; iterating the multi-objective optimization function to determine an optimal solution of the multi-objective optimization function, and determining optimal parameters of the short packet MEC network based on the optimal solution of the multi-objective optimization function. The present invention establishes a multi-objective optimization function taking into account delay and information age to obtain an optimal solution, thereby improving network performance.

The invention discloses a computer algorithm-based PDI automatic nameplate printing method for no-distribution vehicle passing, and relates to the technical field of industrial automation and information processing, and the method comprises the steps of S1, collecting and transmitting PDI inspection information to a central processing system in real time based on a vehicle identification number, s2, the central processing system analyzes and verifies the integrity and consistency of the received PDI inspection information, S3, the vehicle state is updated based on the verification result and synchronized to the nameplate printing terminal, and S4, a nameplate printing instruction is generated and executed according to the synchronized vehicle state; according to the automatic nameplate printing method for passing through the PDI without the distribution vehicle based on the computer algorithm, the overall reliability and stability of a production line are improved, a complete process closed loop is formed, possible problems in the production process can be conveniently traced and optimized, data support is provided for subsequent quality control and production management, and the production efficiency is improved. The PDI inspection information flow is monitored and synchronized in real time so as to solve the problem of printing errors caused by information delay.

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.

The invention relates to the technical field of data processing flow management, in particular to a to-do flow management method and device of a data report, equipment and a storage medium. The to-do process management method for the data report comprises the following steps: acquiring request processing information initiated by a user for the data report, and establishing a data to-do process according to the request processing information; outputting the request processing information according to the data to-do process to obtain a feedback result, updating the data to-do process according to the feedback result, and updating the data report in the database according to the data processing information of the feedback result; and obtaining historical use data of all users, and sorting all the data to-be-processed flows according to the historical use data of the users. According to the method for managing the to-do process of the data report, the to-do process of the data report is optimized, the data can be updated in time according to the feedback result, and the problems of information delay, low problem feedback speed and the like in process management are effectively avoided.

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 invention relates to the technical field of train speed control, and discloses a train speed iterative learning control method, system and device and a storage medium, and the method comprises the steps: building a spatial domain model of a train, and obtaining an actual speed sequence of the train according to the spatial domain model; obtaining an expected speed sequence of the train, and calculating a speed tracking error between the expected speed sequence and the actual speed sequence; according to the speed tracking error, a spatial domain iterative learning law based on an information compensation item is established, and the information compensation item is determined based on speed information delay; and determining the optimal control input of the train according to a spatial domain iterative learning law. According to the method, two control strategies of self-adaptive control and iterative learning control are combined, an information compensation item is designed for speed information receiving delay, meanwhile, limitation on traction force / braking force of the train is added into the control strategy, the convergence speed of the control strategy for speed tracking errors is effectively increased, and the speed tracking accuracy is improved. Complete tracking of the train speed in the whole operation interval is achieved.

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.