12results about How to "Reduce delays" patented technology

This application provides a user mining method and apparatus, electronic device, program product, and storage medium. The method includes: acquiring user data through public API interfaces of multiple social networking platforms and storing the acquired user data in an intelligent computing performance-enhanced file storage service deployed on a cloud computing platform; using a data processing cluster on the cloud computing platform to read the user data from the intelligent computing performance-enhanced file storage service, reconstructing features based on the user data, and storing the reconstructed feature data back to the intelligent computing performance-enhanced file storage service; constructing and training a reinforcement learning model on the cloud computing platform based on the reconstructed feature data; storing historical experience data of the agent in the intelligent computing performance-enhanced file storage service during the training process; deploying the trained reinforcement learning model to a production environment and using the reinforcement learning model to perform user mining based on real-time acquired user data.

The application provides a signal timing and networked automatic driving vehicle speed hierarchical collaborative control method based on reinforcement learning, and relates to the technical field of intelligent traffic control and vehicle-road collaborative control, and comprises the following steps: obtaining the stop-and-drive vehicle state information on the import lane served by each phase at each signal cycle boundary, and generating a reference timing scheme of the next cycle by a cycle timing intelligent agent based on the stop-and-drive vehicle state information; obtaining a refined discharge window; and outputting a continuous longitudinal acceleration control instruction to a target networked automatic driving vehicle by a networked automatic driving vehicle speed intelligent agent according to the refined discharge window, so that the arrival time of the target networked automatic driving vehicle matches the discharge window, and the collaborative control of traffic signal timing and vehicle speed is realized.

The application relates to a signal modulation method, a demodulation method and a LoRa communication system. A total bit stream is divided into a plurality of parts, and is mapped into a frequency index set through G frequency index values. G LoRa signals are generated according to corresponding spreading factors, and are superimposed to obtain a single multiplexing signal of the spreading factor. The single multiplexing signals of all the spreading factors are superimposed to obtain a transmission signal, and signal modulation is completed. The transmission signal is received. For each single multiplexing signal, a de-chirp operation and a discrete Fourier transform are sequentially performed to obtain a frequency domain signal of each spreading factor. G peak values with the largest amplitudes in each frequency domain signal are detected, and corresponding frequency index values are recorded. The frequency index set corresponding to each spreading factor is estimated according to the frequency index values, and the bit stream in the frequency index set is recovered through reverse mapping. All the recovered bit streams are combined to obtain a total bit stream, and signal demodulation is completed. The application maximizes the transmission rate while ensuring the reliability of LoRa communication.

The application belongs to the technical field of emergency help equipment, and provides an emergency help signal panoramic projection device, method and terminal, the device can continuously detect the spatial posture and rotating motion state of itself through the environment positioning module, generate corresponding posture data and direction data, the control module can obtain the data and determine the real-time projection pointing angle of the device, and then when the device rotates, the projection control instruction corresponding to the real-time projection pointing angle is generated and sent to the image projection module, so that the image generation unit in the image projection module drives the corresponding rotating transformation of the help image, and the light source in the image projection module irradiates the help image to project the visual help signal which is right and complete. The scheme realizes omnidirectional controllable intelligent projection, can make the help signal cover all directions, at the same time ensures that the projected image can be clearly observed, is more easily identified by the rescuer, reduces the delay caused by signal blur, and improves the probability of being rescued by the help seeker.

The utility model relates to the technical field of medicine management, and discloses a medical examination sampling device which comprises a supporting rod, the left side of the top end of the supporting rod is fixedly connected with a containing pipe, the right side of the exterior of the containing pipe is fixedly connected with a mounting seat, and the mounting seat is connected with a sealing cover through a locking assembly. A sliding rod is slidably connected to the interior of the sealing cover, a limiting rod is fixedly connected to the interior of the right side of the sliding rod, a rotating rod is fixedly connected to the interior of the right side of the supporting rod, a button is rotatably connected to the exterior of the rotating rod, and two limiting grooves are formed in the interior of the top end of the button; the left side of the outer portion of the sliding rod is sleeved with a strong spring, the left side of the sliding rod is fixedly connected with a piston head, and the left side of the bottom end of the supporting rod is fixedly connected with a connecting ring. According to the utility model, sampling operation can be carried out more quickly and smoothly, pause and delay caused by hand fatigue or tedious operation are reduced, and the overall working efficiency is improved.

This invention provides a method and system for dynamic correction of a hoist under speed loop control, relating to the field of data processing. The method includes: acquiring the hoist car's descent information during cargo entry into the hoist car, and performing dynamic correction of the hoist's descent based on this information; collecting the real-time motor speed of the hoist during cargo transportation, and adjusting the phase current of the hoist motor based on the real-time motor speed and a preset motor speed; and acquiring the hoist car's lifting information during cargo exit from the hoist car, and performing dynamic correction of the hoist's lifting based on this information. This method has the advantage of improving the real-time performance and accuracy of hoist correction.

This invention relates to the field of clothing design technology, specifically to a computer-aided clothing design method and system. The method includes acquiring all operation information and original clothing parameters from user actions on the computer-aided design interface; identifying the clothing modification area and modification parameters operated by the user based on all operation information and original clothing parameters; performing regional structure analysis on the user-operated clothing modification area to obtain the modification impact area; performing a fitting simulation on the clothing modification area based on the modification impact area and modification parameters to obtain qualified simulated fitting parameters; and adjusting the user-operated clothing modification parameters based on the qualified simulated fitting parameters to obtain the clothing design parameters. The purpose of this invention is to solve the problems of inaccurate fabric simulation and system delays in existing design methods, which lead to extended clothing design time and limited designer creativity.

The utility model relates to the technical field of PCB production, disclose a kind of PCB board production dust removal device, including device cavity;Suction mechanism is connected in the device cavity, to the gas of outside miscellaneous dust is inhaled into the device cavity;And filter mechanism, it is set in the device cavity, located above the suction mechanism, to filter the miscellaneous dust inhaled gas;Wherein, the filter mechanism includes the spiral filter assembly being set in the top or middle part of the device cavity, and the horizontal filter assembly being set below the spiral filter assembly.The utility model provides a kind of PCB board production dust removal device, not only can be filtered to polluted air multiple times, to effectively improve the quality of device whole to air filtration and purification, and filter mechanism whole is not prone to damage, effectively reduce the probability that device is delayed due to filter mechanism damage and the overall production efficiency of PCB production line.

The invention discloses an urban traffic flow prediction and signal optimization method based on a space-time diagram neural network. The method specifically comprises the following steps: S1, constructing an urban road network topological graph; s2, multi-source heterogeneous data fusion and feature extraction; s3, establishing a space-time diagram neural network prediction model; s4, a signal optimization algorithm based on a prediction result; s5, model training and online strategy updating; s6, integration and real-time reasoning optimization are carried out; according to the method, through constructing topological graph representation of an urban road network, fusing multi-source heterogeneous traffic data and adopting a deep learning architecture combining a graph convolutional network and a time sequence prediction model, accurate short-term prediction of traffic flows of intersections and road sections is realized, and a dynamic signal optimization algorithm is designed based on a prediction result, so that the traffic flow prediction efficiency is improved. The adaptive adjustment of traffic signal timing is realized, so that the traffic efficiency of a road network is improved, and the vehicle delay is reduced.

This invention discloses an optimization method for lane layout and signal timing combination at T-junctions. First, it defines index variables related to the model, including intersection branch index, flow direction index, lane index, and saturation flow reduction coefficient index. Second, by introducing a double-ring standard phase, and considering the saturation flow reduction effect as well as the configuration of shared lanes and right-turn phases, a mixed-integer linear programming model is constructed with the signal cycle minimization as the objective function and lane layout, phase duration, saturation flow, traffic flow, flow ratio, and saturation degree as constraints. Finally, the branch-and-bound method is used to solve the model, obtaining the optimal lane layout and signal timing scheme for the T-junction, thereby improving vehicle throughput and reducing vehicle delays at the intersection.

This invention discloses an electrical error prevention proxy method and system. The method includes: detecting network status; if the network status changes from normal to abnormal, switching the entity exercising management authority from an edge proxy device to the error prevention industrial control host; the error prevention industrial control host detecting the status of the error prevention electrical terminal and issuing error prevention instructions; wherein, the management authority is the authority to manage the error prevention operation of the error prevention electrical terminal; if the network status is normal, the edge proxy device exercises the management authority, detects the status of the error prevention electrical terminal and issues error prevention instructions; the edge proxy device sends the status of the error prevention electrical terminal to the error prevention industrial control host. This invention can reduce network delays in electrical error prevention and avoid safety hazards caused by network delays in electrical error prevention.

The application relates to a driving task allocation method and device based on data-driven heavy-load combined train driving hierarchical evaluation and a computer device. The method comprises the following steps: acquiring train running state data of a heavy-load combined train driven by a to-be-analyzed driver in multiple driving sections; from each driving section, a target driving section meeting a preset static geographic condition is screened out, and target train running state data in the target driving section is screened out from the train running state data; according to the target train running state data and the train running state data, a target driving evaluation result of the to-be-analyzed driver is determined; from the to-be-analyzed drivers, a target driver whose target driving evaluation result matches a task type of a to-be-analyzed driving task is screened out, and the to-be-analyzed driving task is allocated to the target driver. By using the method, the running efficiency of the heavy-load combined train can be improved.