52 results about "Transport delay" patented technology

The invention provides a delay compensation control method for a double-vibrator wave energy conversion device, which comprises the following steps of: performing numerical modeling and hydrodynamic analysis on the double-vibrator wave energy conversion device, establishing a time domain motion equation of the double-vibrator wave energy conversion device, and introducing a time delay function into the time domain motion equation to simulate control signal transmission delay; simulating the execution delay of the brake by using a partial differential equation; establishing a state-space equation of the device, replacing a convolution term of the time-domain motion equation with the state-space equation, and calculating to obtain a motion state of the device; a Hamiltonian function is defined to convert a constrained optimization problem into an unconstrained optimization problem, and the Hamiltonian function is solved to obtain an optimal control criterion considering control delay so as to realize maximization of energy capture under the optimal control criterion. According to the method, the operation characteristics of a physical system are truly reflected by introducing control delay, so that the locking control method is effectively implemented in an actual physical device, and the energy capture efficiency of a wave energy conversion device and the reliability of system operation are effectively improved.

The embodiment of the invention relates to the technical field of vehicle control, in particular to a vehicle control method, a control device and a storage medium, and the method comprises the steps: carrying out the preprocessing, feature alignment and preliminary fusion of first data obtained by all sensors, obtaining third data, and processing the third data according to a communication bandwidth demand, according to the invention, the system performance and the data transmission efficiency are improved, and it is ensured that the fourth data of each sensor are efficiently and accurately fused to generate the environmental perception data, so that the vehicle driving is controlled, the transmission delay of the vehicle control information is reduced, and the occurrence of traffic accidents is reduced.

The invention relates to the technical field of industrial automation control, and discloses a process parameter remote collaborative optimization method and system. The method comprises the following steps: firstly, acquiring a parameter deviation value and transmission delay duration in a process parameter remote collaboration process, extracting a fluctuation period through time domain analysis, and constructing a collaboration degree and a delay influence degree; combining the relevance and the average state of the coordination degree and the delay influence degree of each period to obtain a current remote coordination difference degree; analyzing a parameter deviation descending trend and a transmission delay ascending trend at adjacent sampling moments, constructing an adjustment trend degree, determining a parameter optimization priority in combination with a collaborative difference degree, and further obtaining a feedback adjustment amount; and finally, optimizing a process parameter remote collaboration process through a collaboration controller by utilizing the feedback adjustment amount and the actual adjustment amount. According to the method, the accuracy and adaptability of remote collaboration can be improved.

The present application belongs to the technical field of distributed cooperative control system, and discloses a multi-point high-precision cooperative ignition system for firework display, comprising: a central controller which non-timely distributes delay time stamps to a plurality of distributed ignition modules and broadcasts a content-neutral synchronization event at a starting moment; the distributed ignition module starts a local timer upon detecting the synchronization event and autonomously counts down according to the pre-stored delay time stamp to execute ignition, the present application decentralizes intelligent time decision to the terminal, avoids the interference of signal physical transmission delay on the overall ignition precision of the system, and replaces the complex real-time clock synchronization and delay compensation mechanism in the traditional control system, so that the architecture simplifies the physical design and deployment complexity of the system, and improves the synchronization robustness and scalability when a large number of nodes work cooperatively.

The invention discloses a dust removal and air distribution control system and method based on a mathematical model, relates to the field of power failure prediction methods of power big data, and provides the following scheme that the dust removal and air distribution control system comprises a data acquisition unit, a mathematical model operation unit, a control decision unit, an execution unit and a feedback correction unit; the data acquisition unit is used for acquiring real-time environment parameters and equipment operation parameters in an industrial scene, and transmitting the acquired data to the mathematical model arithmetic unit through wireless transmission or an industrial Ethernet, and the transmission delay is less than or equal to 100ms. According to the invention, traditional control hysteresis is broken through, 'predictive 'accurate dust removal is realized, and the problem of scene adaptation is solved; meanwhile, self-adaptive regulation and control of multiple industrial scenes are achieved, the energy consumption optimization target can be fused, the win-win situation of efficient dust removal and low-consumption operation is achieved, long-term stability and reliability of the system are guaranteed by constructing a closed-loop optimization system, and the technology is high in expandability and adapts to future industrial intelligent upgrading.

Provided are a method and an apparatus for wireless communication, which help to reduce the overhead of retransmission. The method comprises: a first device sends a first transport block, the size of the first transport block is determined based on a first parameter, the first parameter is determined based on a second parameter, and the second parameter comprises one or more of the following parameters: a second parameter used to indicate the channel transmission quality corresponding to the first transport block; and a third parameter used to indicate the channel transmission delay corresponding to the first transport block.

The invention discloses an intelligent temperature and humidity regulation and control method for a file cabinet, and relates to the technical field of file safekeeping, a transport delay model associated with a storage quantity is introduced, the time difference between a measurement reading and a core state of a file can be dynamically estimated, and control delay is further compensated through additional adjustment time, so that the storage quantity of the file cabinet is improved. Therefore, regulation and control thoroughness and depth are ensured. And moreover, when the cabinet is in a high load state, a mode of automatically switching to a pulse type air supply strategy is adopted, and an air flow dead angle is actively broken through by utilizing pressure pulse, so that the permeation and exchange efficiency of the adjusted air under dense stacking is greatly improved, and deeper and more uniform accurate control on the environment in the whole cabinet is also realized.

The invention provides a vehicle engine oil mass control method and system, and the method comprises the steps: collecting target time sequence data, and creating a corresponding state parameter matrix in real time according to the target time sequence data; constructing a corresponding flow response prediction model according to the target time sequence data, and inputting the state parameter matrix into the flow response prediction model to correspondingly output a flow response prediction value correspondingly generated in a future preset control period; a corresponding two-dimensional compensation matrix is constructed in real time based on the instruction transmission delay data and the flow response predicted value, and an adaptive reference flow instruction is generated according to the target working condition of the vehicle engine; and performing time-phased correction processing on the reference flow instruction through the two-dimensional compensation matrix so as to generate a corresponding target instruction sequence in real time, and converting the target instruction sequence into a corresponding target control instruction in real time so as to correspondingly complete real-time output of the fuel quantity according to the target control instruction. The control efficiency of the fuel flow can be effectively improved.

The invention discloses a long-distance heat supply pipe network heat pump load adjusting method, which comprises the following steps: combining feedforward control with local feedback control, and determining transmission delay according to the length of a heating target pipeline and the flow velocity of a heating medium so as to determine feedforward adjustment advance time; the environment temperature change is forecasted according to the advance time, and the control strategy is determined according to the environment temperature change, so that more stable target indoor temperature control is realized, the delay problem of a long-distance heat supply system and energy waste caused by untimely control of the heat supply system are effectively solved, and double improvement of comfort and energy efficiency is realized.

The invention relates to the technical field of data transmission, and particularly provides a streaming Token double-path transmission method, system and device and a storage medium, and the method comprises the steps: responding to a streaming request, completing the initialization of a system and a session, building a bypass channel from a model to a client, and creating a session context in a control flow engine; identifying the type of each Token generated by the model, and shunting according to the type: data Token routing to a bypass channel and control Token routing to a control flow path processed by a control flow engine; data bypass transmission and control flow service processing are executed in parallel, and the states of the data bypass transmission and the control flow service processing are ensured to be consistent through a state synchronization mechanism; and the dual-path operation state is continuously monitored, and dynamic path adjustment or abnormity recovery is carried out when abnormity is detected. According to the method, the data flow and the control flow are decoupled, so that the transmission delay of the streaming Token is remarkably reduced while the state consistency is ensured.

The invention discloses a winch positioning cruise control method, device and equipment, and relates to the field of data processing.The winch positioning cruise control method comprises the steps that when it is detected that the height of a winch exceeds a preset height threshold value, a measurement starting signal is sent to a visual recognition system; receiving the coupling height fed back; acquiring the height and speed of the winch at the target moment; and determining the final stop height of the winch according to the coupling height, the height of the winch, the speed, the reference stop height and the data transmission delay. Accumulative errors are eliminated through vision measurement, and system delay is overcome through a prediction compensation algorithm. By means of the method, one-time alignment can be achieved, repeated adjustment caused by inaccurate positions is avoided, the operation time of tripping of each stand column is greatly shortened, and the well drilling efficiency is improved. Misoperation is avoided through a condition triggering mechanism; the equipment collision risk is reduced through high-precision positioning; the whole process is automatically completed by the system, and the possibility of manual misoperation is reduced.

The present invention discloses a multimodal transport inventory resonance management method, medium and equipment based on dynamic rules. The method includes: classifying and collecting raw data and preprocessing it into standardized intermodal transport data; constructing a transport time prediction model based on the preprocessed second transport state parameter to extract dynamic transport characteristics, and performing spectral analysis on the second inventory level parameter to obtain inventory cycle fluctuation characteristics; extracting the resonance coupling characteristics of the second transport state parameter and the second inventory level parameter through time-frequency correlation analysis and establishing a feature coding library; constructing a mapping relationship network between transport mode switching rules and inventory adjustment strategies based on the above characteristics; establishing a resonance control parameter conversion relationship between a baseline transport scenario and a target transport scenario; and finally constructing a multidimensional resonance management knowledge base. The present invention realizes the coordinated control of transport delays and inventory fluctuations under multimodal transport, effectively suppresses the supply chain resonance effect, and improves the system's responsiveness and stability.

The application provides a delay compensation control method for a double pendulum wave energy conversion device, which comprises the following steps: numerical modeling and hydrodynamic analysis are performed on the double pendulum wave energy conversion device, time domain motion equations are established, a time delay function is introduced into the time domain motion equations to simulate control signal transmission delay, and partial differential equations are used to simulate the execution delay of the brake; state space equations of the device are established, the convolution items in the time domain motion equations are replaced by the state space equations, and the motion state of the device is calculated; a Hamilton function is defined to convert a constrained optimization problem into an unconstrained optimization problem, the optimal control criterion considering the control delay is obtained by solving the Hamilton function, and the maximization of energy capture under the optimal control criterion is realized. The application truly reflects the operation characteristics of the physical system by introducing the control delay, so that the closed-loop control method is effectively implemented in the actual physical device, and the energy capture efficiency of the wave energy conversion device and the reliability of the system operation are effectively improved.

The present application relates to torque calculation technical field, a kind of electric power-assisted bicycle's torque adaptability regulation method and system, comprising: receiving torque adjustment instruction, based on torque adjustment instruction to start system adjustment unit, gather side swing angle and side swing angular velocity, calculate transmission delay, if transmission delay is not in delay range, to transmission data packet set is screened, obtain standard data packet set and over-limit data packet set, to over-limit data packet set is adjusted, obtain adjustment data packet set, based on standard data packet set and adjustment data packet set obtain integrated data packet set, if transmission delay is in delay range, calculate external interference estimate value and utilize external interference estimate value to calculate side swing angular acceleration, calculate side swing torque and inclination torque, and according to side swing torque and inclination torque calculate regulation torque, according to regulation torque completes torque adaptability regulation.The present application can improve the regulation speed and accuracy of torque adaptability regulation.

The terminal comprises a first main processor which generates a power supply quality evaluation report based on bus time sequence data, identifies a load state based on branch time sequence data and identifies a connection topological structure of a power supply network based on a minimum spanning tree algorithm; the fault diagnosis module generates a comprehensive fault early warning result based on the bus time sequence data and the branch time sequence data; the HPLC carrier communication module is configured to perform multi-protocol dynamic switching among a power line, ZigBee and 4G, and is used for sending a comprehensive fault early warning result generated by the first main processor to a monitoring center; the first coprocessor is used for processing a protocol stack of the HPLC carrier communication module, the second coprocessor is used for processing a protocol stack of the HPLC carrier communication module, a shared memory pool is arranged between the first main processor and the second coprocessor, the first main processor and the second coprocessor perform data interaction through the memory pool, and the first main processor dynamically allocates operation resources to assist communication tasks when the HPLC carrier communication module transmits comprehensive fault early warning data. The transmission speed of the comprehensive fault result is improved, and the transmission delay of the comprehensive fault early warning data is reduced.

The invention relates to the technical field of rail transit operation management, in particular to a rail transit transportation delay recovery support device which comprises a shell and a processing module arranged in the shell, and the processing module at least comprises a data fusion module, a delay deduction module, an optimization scheme generation module, an evaluation and sorting module and a collaborative decision module. According to the method, rapid and scientific generation and multi-target tradeoff of the delay recovery scheme can be realized, and the operation recovery efficiency and the decision level are improved.

A system and a method for calculating a time delay in a non-terrestrial network (NTN) fronthaul (FH) includes defining a transport delay range including lower bound (Tmin) and an upper bound (Tmax) for the NTN FH, the transport delay including a downlink transport delay and an uplink transport delay, the transport delay range encompasses only a time when a bit leaves a sender until the bit is received by a receiver, and the transport delay values changes with the motion of a satellite.

The invention provides a robot remote control method and system, and relates to the technical field of communication. The method comprises the following steps that: an MQTT proxy server determines a priority according to reference information of an MQTT remote instruction, determines processor information according to an instruction type, and sends the MQTT remote instruction, the priority and the processor information to a message router, so that the message router adds the MQTT remote instruction into an MQTT instruction sequence of a corresponding processor, the reference information comprises the maximum delay, the importance degree and the time sequence dependence degree; and the processor analyzes the MQTT remote instruction into an ROS remote instruction and sends the ROS remote instruction to the robot, so that an ROS operating system of the robot executes an ROS instruction sequence. According to the method, the data message can be prevented from blocking the remote instruction, the remote instruction with higher priority can be ensured to be transmitted and processed preferentially, the transmission delay of the remote instruction is reduced, and the safety of the robot in the navigation process is improved.

The invention discloses a link pre-switching method and device based on a spatial position, relates to the technical field of port equipment communication, and mainly aims to meet the requirements of low time delay and high reliability of remote control of a tire crane. According to the technical scheme, the method comprises the steps of obtaining multi-source operation data of a target tire crane; on the basis of the multi-source operation data, a predicted space-time operation state corresponding to the target tire crane in a specified time period in the future is pre-judged through a space-time joint model, and the predicted space-time operation state comprises a predicted space position, a predicted attitude parameter and a predicted shielding risk probability; calculating a link switching decision score of the target tire crane through a multi-dimensional decision matrix based on the predicted space-time operation state; if the link switching decision score reaches a preset score threshold, triggering a pre-switching operation; and switching a communication link of the target tire crane from the original base station to the target base station after the target tire crane reaches the predicted spatial position and the signal strength and the transmission delay of the target base station are verified to meet preset transmission requirements.

A data dissemination system includes one or more data mules that transmit delay-tolerant data in a group of vehicles, where each data mule receives delay-tolerant data from one or more background servers, and the data mules maintain a polling connection with the background servers. In an embodiment, a data propagation system includes one or more controllers as part of an ego-vehicle, where the ego-vehicle is part of a population of vehicles, where the one or more controllers include one or more processors, and where the one or more processors are coupled to the ego-vehicle. The one or more processors execute instructions to establish a wireless connection to the geo-fencing network as the ego-vehicle travels along the navigation route. In another embodiment, a data propagation system includes one or more background servers that wirelessly communicate with a plurality of vehicles that are part of a group of vehicles. The background server identifies one or more data mules based on the modified cumulative ranking score.

The invention discloses an automatic unhooking process for hoisting of a single blade, relates to the technical field of installation of wind power generation equipment, and aims to solve the problem of how to unhook a single blade of a wind generating set safely, efficiently and automatically after the single blade is hoisted. Appropriate hoisting equipment is selected according to the weight and size of the single blade and the installation requirement of the wind generating set, the hoisting equipment is checked and debugged, the rated hoisting capacity is larger than two times of the weight of the single blade, the automatic unhooking device is installed on the single blade and comprises an unhooking mechanism, a monitoring system, a sensor and a control unit, the sensor is calibrated, and the monitoring system is connected with the control unit. Normal communication among the control unit, the sensor and the unhooking mechanism is ensured, and the signal transmission delay does not exceed 5 milliseconds; and S2, single blade hoisting, wherein the single blade is hoisted through a crane and a hoisting tool. The automatic unhooking device has the advantages of effectively improving the stability, the safety and the hoisting efficiency of automatic unhooking when the single blade is hoisted.

The present application relates to the technical field of robot control, and especially relates to a distributed collaborative control method and device for a body intelligent multi-arm mobile operation robot, an electronic equipment, and a storage medium, the method is applied to a joint controller in a body intelligent multi-arm mobile operation robot control system, the present application distributes global trajectory planning results through a central controller, each joint controller exchanges local data based on an event triggering mechanism and runs a distributed neighbor consensus algorithm, realizing multi-arm collaborative control with low communication delay and high fault tolerance, compared with a centralized architecture, reducing bus load and instruction transmission delay, eliminating single point failure risk; at the same time, fully utilizing joint level sensing information to participate in collaborative decision making, improving torque balance, obstacle avoidance adjustment and load sharing capability, and enhancing system real-time performance, reliability and dynamic adaptability.

In some examples, a service computing device receives, from a vehicle computing device on a vehicle, a communication including sensor data acquired from at least one sensor on the vehicle. Based on the communication, the service computing device determines a transmission delay corresponding to a difference between a time at which the vehicle sends the communication and a time at which the vehicle receives the communication. Based on the communication, the service computing device determines a trajectory of the vehicle on the travel route. The service computing device determines vehicle control information for the vehicle based on the sensor data, the transmission delay, the wind direction and volume, the surrounding objects and trajectories. The service computing device sends at least one instruction to the vehicle based at least on the vehicle control information, causing the vehicle to perform at least one control operation to traverse one or more locations associated with a trajectory of the vehicle.

The invention relates to the technical field of general control or regulation systems, and discloses a crawler-type clearance machine delay compensation control method, which comprises the following steps that: a driving end and a vehicle end carry out time synchronization, the driving end acquires a control signal and a derivative thereof in real time, adds a timestamp and then sends the control signal and the derivative thereof to the vehicle end; the vehicle end receives the data packet and analyzes the control signal, the derivative of the control signal and the timestamp, and one-way transmission delay is calculated according to the difference value between the current time of the vehicle end and the timestamp; dynamically adjusting an overshoot suppression gain based on the transmission delay, and generating a prediction control instruction through a two-parameter sliding mode predictor in combination with a state tracking gain; converting the control instruction into a left and right wheel speed and hydraulic rod speed instruction through a track differential model; and performing real-time motion control on the cabin cleaning machine through the converted instruction, and monitoring the transmission delay to update the overshoot suppression gain. The problems of transmission delay, control lag, vehicle oscillation and track offset in the prior art are solved, and the purposes of overshoot suppression, delay compensation and stability enhancement are achieved.

The invention relates to the technical field of deviation inspection, and discloses a liquid filling line net content accumulated deviation and inspection method, which comprises the following steps: setting delay time and delay error of each filling head on a filling line; net content deviation caused by the delay error is calculated according to the filling speed and the average flow of the filling line; the accumulated net content of each filling head at each moment is collected, and the value of the accumulated net content is pressed into the stack corresponding to each filling head; and taking out the accumulated net content before delay corresponding to each filling head at the current moment from the stack. By introducing the concept of the virtual filling line and combining the stack data storage and time alignment technology, the problem that the filling head data and the total checkweigher data are not synchronous due to material transmission delay is effectively solved, so that real-time closed-loop monitoring of the whole flow of the filling process is realized, and the working efficiency is improved. And the accuracy of net content detection and the intelligent level of system control are obviously improved.

This invention discloses a multi-target cooperative perception method for connected autonomous vehicles, relating to the field of autonomous driving technology. It includes: acquiring environmental data to construct local perception features and compressing them to obtain compressed features; constructing a path loss and channel gain model and calculating communication transmission delay using orthogonal frequency division multiple access (OFDM); establishing end-to-end perception delay and energy consumption models to obtain the perception delay and energy consumption corresponding to each role; constructing a multi-target optimization model; asynchronously generating action policies through an Actor network with a self-attention mechanism and evaluating the global state value through a Critic network with a graph attention mechanism to output the action policies; decompressing and fusing the compressed features for target detection; calculating multi-target reward values ​​and updating the parameters of the Actor network and Critic network respectively. This invention achieves adaptive cooperation by combining asynchronous architecture and multi-target optimization with attention reinforcement learning, balancing accuracy and energy consumption, and improving perception efficiency and robustness.

The invention discloses a stirrer feeding control device, and relates to the technical field of feeding control, and the stirrer feeding control device comprises a scale body which is used for weighing the reduction amount of materials; the storage bin is suspended above the scale body and is used for storing materials; the first spiral conveyor is arranged at the bottom of the storage bin; the second screw conveyer is arranged on the scale body and is positioned below the first screw conveyer; and the difference value compensation channel is communicated with a discharging port of the first spiral conveyor and a feeding port of the second spiral conveyor, and local material suspension is achieved so as to compensate material over-discharge caused by signal transmission delay, the difference value compensation channel is additionally arranged, and the principle that suspended materials in the difference value compensation channel cannot be weighed by the scale body is utilized, so that the material over-discharge caused by signal transmission delay can be compensated. When the scale body detects that the reduction amount of the materials reaches a preset value and triggers a shutdown signal, the part of suspended materials just compensates for extra discharging in the delay period, and the problem of excessive discharging caused by signal delay in feeding control of a traditional weightlessness scale is thoroughly solved.

A timing controller and an operation method of the timing controller are provided. The timing controller includes a timing signal generation part and a frame signal generation part. The timing signal generation part generates a clock signal to a source driver for driving a display panel. The frame signal generation part generates a frame signal synchronized with the clock signal. The timing controller transmits a first differential signal pair and a second differential signal pair of the frame signal to the source driver via different transmission paths. The timing controller adjusts the phase of at least one of the first differential signal pair and the second differential signal pair so that the clock signal has different timing skews for different differential signal pairs, in order to adapt to different transmission path delays of the different transmission paths.

Provided is a control device for transmitting an instruction to switch a route configuration to a controlled device that transfers communication data between terminals, the control device comprising: a transmission timing determination unit that determines, on the basis of a difference in transmission delay time between the controlled devices, a timing at which to transmit a route configuration switching instruction to the controlled device; and a route configuration control unit that transmits a route configuration switching instruction to the controlled device at the determined timing.

The invention discloses an equipment full-life-cycle management method, equipment, a product and a medium, and relates to the technical field of equipment management. The method comprises the following steps: acquiring physical distribution topological data of a plurality of equipment nodes; based on the physical distribution topology data, calculating transmission delay parameters and energy attenuation coefficients among equipment nodes, and determining an active source node set and a passive response node set; in response to a scheduling request for the active source node set, generating a plurality of candidate operation combinations, and determining an initial environment output vector of each candidate operation combination; determining an environment stress vector based on the transmission delay parameter, the initial environment output vector and the energy attenuation coefficient; determining an estimated loss value based on the environmental stress vector; determining a target operation combination by taking minimization of the sum of the estimated loss values as a target; and generating a control instruction sequence based on the target operation combination, and driving the active source nodes in the active source node set to execute the control instruction sequence. The effect of improving the operation efficiency of the equipment is achieved.