12results about How to "Efficient multiplexing" patented technology

The invention belongs to the technical field of intelligent manufacturing and industrial scheduling, and provides a high-altitude platform multi-test task production scheduling method based on a clustering algorithm and multi-objective optimization, and the method comprises the steps: automatically calculating the exclusive resource demands of all working condition points in a plurality of aero-engine test tasks based on a multi-parameter coupling model; for each task, dividing a plurality of work packages by adopting a clustering algorithm based on the multi-dimensional features containing exclusive resource requirements in the task; a multi-objective model of multiple optimization objectives is constructed, all the work packages are jointly sorted globally, and the optimization objectives comprise the equipment utilization rate; and finally, under the condition that constraint of resource capacity, mutual exclusion of test cabins and task continuity is satisfied, allocating an available tester and a continuous time window to each work package, and generating an initial production scheduling plan. According to the method, the production scheduling efficiency and the resource utilization rate are effectively improved, the plan robustness is enhanced, and the method is suitable for high-complexity aero-engine test scheduling scenes.

The invention relates to the field of high-voltage cable metal aluminum sheath processing, in particular to a gas recycling device and method for argon arc welding of a high-voltage cable. The gas recycling device for argon arc welding of the high-voltage cable comprises an explosion-proof type recycling gas pump, a first sealing pipeline and a second sealing pipeline, an inlet of the high-precision gas filtering device is connected with an outlet of the explosion-proof recovery gas pump, and the high-precision gas filtering device is used for removing welding slag and oil dirt impurities in the recovered gas; an inlet of the buffer gas storage tank is connected with an outlet of the high-precision gas filtering device through a second sealing pipeline, and the buffer gas storage tank is used for storing the purified gas. By innovatively designing the helium recovery and circulation system, efficient recovery, purification, storage and reuse of residual helium are achieved, helium consumption and production cost are remarkably reduced, production interruption caused by frequent bottle replacement is reduced, and meanwhile the stability of welding quality is guaranteed.

The invention provides a GPU storage and calculation integrated pre-filling decoding separation large model reasoning acceleration method and system, and the method comprises the steps: obtaining an original text, carrying out the operation of the original text through a GPU, and generating a corresponding key value cache and a query vector; based on a storage and calculation integrated memory, respectively reading the key vector, the numerical vector and the query vector from the key value cache for calculation, and generating a context vector; the method comprises the following steps: acquiring a plurality of request sequences, performing dynamic scheduling based on a preset time window or a request quantity threshold value, and sorting according to sequence lengths; carrying out zero-filling packaging on the input sequence by utilizing a GPU (Graphic Processing Unit) and executing pre-filling calculation to obtain an initial key value cache and a query vector; and respectively conveying the key value cache and the query vector to a storage area and a ready queue.

This invention relates to the field of lithium battery production control technology, and discloses a production control method for achieving efficient production of lithium battery cells. The method acquires batch characteristic data of lithium battery cells, including electrode material ratio characteristics and electrolyte composition characteristics; extracts a corresponding set of process parameter configurations based on the batch characteristic data; identifies key control nodes in the lithium battery production process based on the set of process parameter configurations, including material ratio adjustment nodes and process parameter switching nodes; calculates parameter deviation data in the production process based on the key control nodes, including cumulative deviations within the same batch and parameter jump values ​​across batches; and extracts a set of reusable process control parameters based on the parameter deviation data, including general process parameters and specific process parameters.

The invention provides a near-to-eye display system and near-to-eye display equipment. The near-to-eye display system comprises a light source, the light source comprises a display light machine and an infrared illumination module, the infrared illumination module is arranged on the display light machine, the display light machine is used for emitting image light, and the infrared illumination module is used for emitting infrared light; the waveguide assembly is arranged on the light emitting side of the light source, the waveguide assembly is used for transmitting the image light and the infrared light eyeball tracking camera, and the eyeball tracking camera is used for receiving the infrared light reflected by the eyeball area. The invention discloses a near-to-eye display system and near-to-eye display equipment, which can realize efficient multiplexing of a limited space.

The application discloses a design method of an autonomous flight unmanned aerial vehicle based on a behavior model, and belongs to the technical field of unmanned aerial vehicles; the method takes a flight behavior as a core organization dimension, constructs a three-layer design architecture, a task and behavior definition layer, a hierarchical structured data layer and a multi-modal associated design expression layer; the task and behavior definition layer carries out formal modeling on a task through a macro state machine and a micro interaction model; the hierarchical structured data layer establishes a database for managing global attributes and behavior-specific parameters; the multi-modal associated design expression layer forms a visual document and a chart network which are indexed by behaviors and support penetrating tracing; and through simulation verification and knowledge encapsulation driven by behaviors, design closure and knowledge reuse are realized; the application establishes a whole-process design architecture of the unmanned aerial vehicle from behavior modeling, data management to simulation verification, and effectively improves the multidisciplinary collaboration efficiency and the knowledge reuse level.

The embodiment of the invention relates to the technical field of automatic testing, and discloses an automatic testing system and method and a vehicle, and the system comprises an upper computer main service module which is used for obtaining a testing script, carrying out the abstract conversion of the testing script, and obtaining a target abstract instruction; the target abstract instruction is a standardized target abstract instruction for describing a test operation type; the access and access control module is used for determining a corresponding virtual device node when the target abstract instruction is received; converting the target abstract instruction into an executable instruction corresponding to the operation equipment through the virtual equipment node; controlling the operation equipment to execute the executable instruction, and receiving a returned execution result; the virtual device node is created based on a device capability description model of the operating device. According to the technical scheme, the test script is converted into the standardized abstract instruction, so that the test script does not need to be modified for different devices or scenes, and cross-device and cross-scene efficient multiplexing is realized.

This application provides a vehicle side collision active defense system and method based on active suspension. The system includes: a multimodal perception module, which acquires environmental perception information and vehicle signals to the side of the vehicle and identifies side collision risks; a signal processing module, which calculates the collision time based on the side collision risk; and a vehicle control unit, which compares the collision time with a preset threshold and controls the fully active suspension execution module based on the comparison result to raise the vehicle chassis relative to its initial height, so that the sill beam area replaces the door anti-collision beam as the main load-bearing structure for side collisions. This application constructs an intelligent side collision protection system integrating perception, decision-making, and execution, with graded triggering and active vehicle body lifting to change the force path as its core. It achieves millisecond-level linkage between perception, decision-making, and execution, and has a graded triggering and energy management mechanism, significantly improving the collision energy absorption rate and effectively reducing the intrusion into the passenger compartment and occupant injury indicators.

This invention discloses a sodium carbonate evaporation and drying system, aiming to address the shortcomings of existing sodium carbonate extraction systems, such as low evaporation efficiency and high energy consumption. The invention includes an evaporation section and a drying section. The evaporation section comprises a double-effect evaporator, a crystallizer, and a thickener arranged in series. The drying section includes a screw conveyor, a steam radiator, and a vibrating fluidized bed. The double-effect evaporator is also connected to a steam compressor. The steam compressor compresses and heats the steam generated in the double-effect evaporator before returning it to the evaporator. The steam radiator connects to a fresh steam pipe and an air pipe, heating the air with steam. The air pipe connects to the vibrating fluidized bed, and the heated air heats the material in the vibrating fluidized bed. By utilizing the high-temperature steam generated by the steam compressor to simultaneously heat the air source for both the evaporator and the vibrating fluidized bed aeration, efficient reuse is achieved, reducing the number of devices and improving heat utilization efficiency.

The application discloses a kind of geometric defect identification and processing method based on AI big model, it is related to aerospace engineering field.The method aims at solving the problem of low efficiency and poor accuracy of aircraft CAD model geometric defect artificial repair.The steps include: first, CAD assembly body model is intelligently segmented into multiple sub-components;Second, the part geometry is converted into a structured feature representation, and a multi-task hierarchical graph neural network model incorporating domain knowledge is trained using labeled data;Then, the model is used to identify defects in sub-components, outputting defect type and spatial location information;Finally, according to the identification results, the repair topology is connected first, and the geometric anomaly is processed in sequence, and a watertight surface mesh is generated.The application realizes the whole process automation of geometric defect identification and repair, greatly improves the pre-processing efficiency and quality, and reduces the dependence on expert experience.

This application provides a method, apparatus, and electronic device for matching batch requests with computing nodes. Relating to the field of computer technology, it proposes a method based on the fixed concurrency capability of computing nodes in an AI chip system. Requests belonging to the same expert are divided into multiple request blocks, and a scheduling queue is determined for these request blocks. The larger the request volume of a block, the higher its priority in the scheduling queue. When an unmatchable request block occurs, under the constraint of a pre-stored expert copy corresponding to the computing node, an augmenting path search is used to match the already matched original request block from its original computing node to a redundant computing node that matches the request block. The unmatchable request block is then scheduled to be matched back to the original computing node, which has a pre-stored expert copy for processing the unmatchable request block. This improves the effective utilization of hardware resources, reduces the dropout rate, and increases throughput.

The invention provides an AI accelerator design technology based on maximum reuse of storage resources, accelerator architecture and on-chip cache design are carried out in combination with network characteristics of a neural network and characteristics of FPGA storage resources, locality of data access is fully utilized, the access stock is reduced in a mode of maximizing the number of times of data reuse, and data access efficiency is improved. And the utilization rate of storage resources and bandwidth is improved, so that the processing efficiency of the accelerator on the neural network is further improved.