48results about How to "Improve precision" patented technology

The invention discloses an intelligent storage multi-AGV scheduling method and device and a medium, and relates to the technical field of automatic scheduling, and the method comprises the steps: collecting the state and environment perception data of AGVs, and carrying out the standardization processing; constructing a dynamic conflict scheduling model, inputting the standardized AGV state and environment perception data into the dynamic conflict scheduling model for task allocation and path planning, and outputting a preliminary task allocation and path planning scheme; and integrating task execution feedback data with historical task data, optimizing parameters of the dynamic conflict scheduling model, and outputting an optimized task allocation and path planning scheme. According to the method, the task execution feedback data and the historical task data are integrated, and parameter optimization is performed on the dynamic conflict scheduling model based on the scheduling knowledge graph and the meta-gradient descent strategy, so that continuous self-evolution and precision improvement of the scheduling strategy are realized.

The invention relates to an artificial hail suppression operation method, device and equipment and a medium. The method comprises the steps of performing data fusion processing on multi-source meteorological monitoring data, airspace control information, an operation point resource state and protection target information to generate a dynamic operation situation map; constructing a multi-target robust optimization model based on the dynamic job situation map; an improved multi-objective evolutionary algorithm is adopted to solve the multi-objective robust optimization model, and a Pareto optimal solution set is obtained; performing multi-attribute decision on the Pareto optimal solution set based on the real-time preference weight, and generating an optimal operation scheme meeting actual requirements; and analyzing the optimal operation scheme to generate a specific operation instruction. By adopting the method, the limitation that traditional artificial hail suppression operation depends on experience decision can be effectively broken through, the operation blindness is reduced, the reasonable distribution of operation resources is realized, the protection effect of important areas is improved, the operation cost and disaster loss are reduced, and the scientization, precision and high-efficiency level of the artificial hail suppression operation is remarkably improved.

This invention belongs to the field of medical device technology and discloses a foot pressure relief device for diabetic foot. It includes a base, a pressure relief plate and a motor connected to the base, and a foot pedal and a transmission assembly connected to the pressure relief plate. The transmission assembly includes a crank, a first connecting rod, and a sliding seat. The crank is fixedly connected to the output shaft of the motor, and the sliding seat is connected to the pressure relief plate. The two ends of the first connecting rod are respectively connected to the crank and the sliding seat. The sliding seat is connected to a foot rolling shaft and a second connecting rod, and the second connecting rod is connected to a foot massage roller. A buffer spring is provided between the pressure relief plate and the base. The foot pedal has a through groove, and the foot rolling shaft is connected to a foot massage roller. This invention utilizes the foot rolling shaft / foot massage roller and the foot massage roller to simultaneously perform rolling massage on the sole and instep of the foot. The periodic oscillation of the pressure relief plate causes the heel and toes to alternately rise, resulting in good pressure relief for the foot.

This application relates to the field of document search, specifically disclosing a knowledge document search engine based on word vectors and contextual summarization. First, it performs multimodal parsing on the original heterogeneous documents, constructing a keyword weight index by calculating the multidimensional features of the documents, and then using contextual summarization generation technology to construct a summary vector index. In the retrieval stage, the core lies in introducing a query understanding and dynamic weight generation mechanism. By extracting the linguistic features of user queries to deeply analyze query intent (such as precise search or concept exploration), it predicts and generates dynamic fusion weights in real time. This mechanism can adaptively adjust the weight of semantic recall and keyword recall in the final ranking according to the query type, effectively solving the one-size-fits-all defect of traditional static fusion strategies. Finally, it combines a local large language model to generate accurate question answers, significantly improving the recall and precision of searches in complex scenarios.

The utility model provides high-precision semiconductor heat treatment equipment, which relates to the technical field of semiconductor processing and comprises a processing cabinet, a connecting groove is arranged at one end of the front surface of the processing cabinet, a heating groove is arranged on one side in the connecting groove, a sealing cover is movably mounted in the connecting groove, and the sealing cover is mounted at one end in the heating groove in a clamping manner. And a placing groove is formed in the heating groove. Mixed gas is subjected to heat exchange through the through holes in the guide rod, primary preheating or temperature adjustment of the gas is achieved, low-temperature gas is prevented from directly entering the heating groove to impact an original temperature field, temperature fluctuation is reduced, then the gas subjected to heat exchange is evenly introduced into the heating groove through the flow dividing groove and the spray head, and the heating effect is improved. And in cooperation with stable temperature control of the heater, a more accurate and stable temperature environment can be constructed, the strict requirement of high-precision semiconductor heat treatment for temperature control precision is met, and the controllability and reliability of the machining process are improved.

The embodiment of the invention provides an image retrieval method, device and equipment for target image information. The method comprises the following steps: acquiring to-be-retrieved target image information; analyzing and extracting the target image information to obtain target image feature information; matching the target image feature information in a preset image data structured index database, and retrieving to obtain a retrieval result containing matched target image data and structured description information associated with the target image data; outputting a retrieval result; wherein the image data structured index database is obtained through the following processes: obtaining multi-modal original data containing images, videos and text descriptions of the same target object; performing content analysis and feature extraction on the multi-modal original data to obtain corresponding structured description information; and storing the structured description information as an index structure supporting feature-based matching retrieval according to a preset storage format. According to the embodiment of the invention, the deep semantic content of the image can be efficiently understood and accurately matched.

The embodiment of the invention relates to a processing method and device for road side sensing track evaluation. The method comprises the following steps: receiving a first task request; acquiring a drive test trajectory set, a sensing trajectory set and a local high-precision map from the cloud; unifying a coordinate system for all track points of the two track sets; carrying out track cutting on the two track sets; segmenting the road test tracks based on the track point curvature, selecting a matching track set for each segmented track based on a DTW algorithm, merging all the matching track sets corresponding to each road test track, and performing sensing track splicing based on each merged track set according to a time-space continuity rule; calculating the effective sensing track length of each drive test-sensing track pair according to a high-low speed self-adaptive invalid track length identification method, and calculating a corresponding sensing coverage rate; and taking the average value of all the sensing coverage rates as the roadside sensing coverage rate. According to the invention, the evaluation accuracy of the roadside perception capability can be effectively improved.

The utility model relates to the technical field of heating pads, and discloses a massage heating pad which comprises a frame, a shell is fixedly connected to one side of the frame, two massage modules distributed in a mirror image mode are fixedly connected to the interior of the shell, and an inner layer liner, a heating layer and an outer layer liner are fixedly connected to the interior of the frame. And a plurality of electrode plates which are arranged in a rectangular array are fixedly connected to one side of the outer-layer liner. According to the massage heating pad, two therapies of massage and electrical stimulation are combined, the massage module acts on muscular tissue in a mechanical mode, blood circulation is promoted, muscular tension is relieved, weak current emitted by the electrode plates can directly stimulate acupuncture points of the human body, meridians and collaterals are further promoted to be smooth, and the effects of relieving pain and relaxing the mind and body are achieved; the dual therapies complement each other, the curative effect can be remarkably improved, and due to the fact that the electrode plates are arranged in a rectangular array mode, accurate stimulation can be conducted on different acupuncture points or pain areas.

This invention relates to the field of lithium-ion battery manufacturing technology, specifically providing a full-tab battery cell for large cylindrical batteries, its preparation method, and applications. This invention innovatively employs a "winding-fixing-laser axial cutting-graded flattening" process flow, changing the traditional "cut-then-winding" process long used in the industry, achieving a breakthrough in the precision of tab forming. Specifically, after the bare cell is wound, the blank areas of each current collector layer have formed a stable stacked structure, which is precisely fixed using a special fixture and simultaneously cut along the axial direction by laser, completing the high-precision forming of multiple tabs in one step. This method fundamentally eliminates the problem of accumulated deviations caused by step-by-step operations in traditional winding processes, stably controlling the tab alignment accuracy within 0.1mm, effectively solving the long-standing problem of alignment consistency in existing technologies.

This utility model discloses a wetland ecological restoration bank protection device, including two fixed seats and a fixed bank protection frame between the two fixed seats. A first connecting plate is fixedly connected to the front and rear sides of the fixed bank protection frame near the left side. A fixed plate is fixedly connected to the bottom of the first connecting plate. In this wetland ecological restoration bank protection device, when adjusting the height of the movable bank protection frame, a rocker wheel is rotated. The rocker wheel drives a threaded rod to rotate within the inner cavity of the first threaded hole and the bearing. The movable bank protection frame moves up and down relative to the threaded rod under the action of the thread. The movable bank protection frame moves within a defined trajectory through the setting of a limiting groove and a limiting rod. Therefore, the height of the movable bank protection frame within the fixed bank protection frame can be adjusted according to the water level, improving the precision of water blocking. This device places the threaded rod at the center position of the movable bank protection frame to avoid uneven force, thereby achieving height adjustment of the movable bank protection frame.

The present application relates to biomedical literature content retrieval technology, in particular to a biomedical literature long query content retrieval method, device and computer equipment, the method comprises the following steps: constructing a biomedical literature hierarchical tree, and selecting a storage document segment based on the relevance of a corresponding subject word of a child node to a document segment of a retrieval library document; preprocessing a long query text input by a user to obtain to-be-queried content; performing subject reasoning on the to-be-queried content based on a latent Dirichlet allocation method on the biomedical literature hierarchical tree from top to bottom and layer by layer, that is, calculating the subject relevance of the to-be-queried content to other nodes except the root node from top to bottom, if the relevance is greater than a set threshold, continue to find the next layer of nodes of the child node; if the queried child node is a leaf node, end the subject reasoning, and find N documents closest to the to-be-queried content according to the document subject relevance distribution of the document segment on the leaf node; the present application improves the retrieval accuracy of biomedical literature.

This invention discloses an intelligent management system for SMS marketing, relating to the field of communication technology. It includes: a vector construction module, used to construct the current state vector of each target user based on user reply information of each target user to the target marketing SMS in response to a triggered update mechanism for historical vector clusters; the current state vector represents the real-time interest changes of target users in the target marketing SMS; a cluster update module, used to update the historical vector clusters based on the current state vectors of each target user to obtain the current vector cluster; a value determination module, used to determine the current state action value of the current vector cluster based on the vector samples included in the current vector cluster; and a strategy determination module, used to determine the current recommendation strategy for each target user in the current vector cluster based on the current state action value of the current vector cluster using a Q-learning algorithm. This invention can improve the accuracy and personalization of SMS marketing.

The utility model relates to the technical field of mechanical engineering, and discloses balloon quality detection visual identification equipment which comprises a box body, a water tank is fixedly connected to the left side of the top of the box body, a water pump is fixedly connected to the right side of the outer wall of the water tank, the inner wall of the water pump is communicated with a pipeline, and the bottom of the pipeline is communicated with a fixing block. An inflation ball is arranged on the outer wall of the fixing block, a turned edge is fixedly connected to the top of the inflation ball, a fixing plate is fixedly connected to the right side of the inner wall of the box body, protection blocks are fixedly connected to the left side and the right side of the inner wall of the fixing plate, and a camera is fixedly connected to the left side of the inner wall of the box body. According to the utility model, the inflatable ball is sleeved on the fixed block, the water pump is started, the inflatable ball falls on the fixed plate after being filled with water, the state of the inflatable ball is checked through the observation window, the quality is good if no water is ejected, otherwise, the inflatable ball is unqualified, the detection of the inflatable ball is realized, and the accuracy and the precision of the detection are improved.

This application discloses a method for printing copper-based liquid cooling components via grafting, and the copper-based liquid cooling component itself. The method includes: providing a base plate; machining positioning grooves on the base plate according to its external dimensions; etching the inner walls of the positioning grooves; sandblasting the upper surface of the base plate; embedding the sandblasted base plate into the positioning grooves; selectively laser melting the base plate; sequentially printing the bonding surface layer and the heat dissipation fin body layer using different printing strategies to obtain a blank; removing the blank from the positioning grooves and polishing it to obtain the copper-based liquid cooling component. This method solves the technical problems of base plate warping, low internal density, loose structure, and poor bonding surface strength in traditional laser additive manufacturing of copper-based liquid cooling components, achieving stable manufacturing of high-precision, high-performance copper-based liquid cooling components.

The invention belongs to the technical field of artificial intelligence and information, and particularly relates to a media data acquisition method and system for constructing a space-time knowledge tree based on prompt engineering. The system comprises a prompt engineering module, a common knowledge tree construction module, a space-time knowledge tree construction module and a media data acquisition module, wherein the prompt engineering module provides a prompt word template; the common knowledge tree construction module constructs a common knowledge tree through large language model reasoning; the space-time knowledge tree construction module is used for calling a place refining cue word template and a facility refining cue word template based on a common knowledge tree, and constructing a space-time knowledge tree through large language model reasoning and multivariate geographic information verification; and the media data acquisition module generates a multi-dimensional retrieval condition and drives a data acquisition engine to acquire data. According to the method, automatic construction and dynamic expansion of a knowledge tree are realized by utilizing large model reasoning and a controllable prompt strategy, and crawlers are driven to accurately retrieve in multiple dimensions, so that accurate capture of high-value data and reliable tracking of evolution clues are realized.

The invention discloses an air and space big data intelligent data management system and method based on four-database collaboration and knowledge generation. A core layer adopts a temporary storage database, a controlled database, a product database and a knowledge database to form a four-database architecture; and the service layer adopts a data governance engine, a productization engine, a knowledge generation engine and an intelligent enabling engine. The system combines a data governance engine and a productization engine to carry out collaborative linkage to carry out data governance. Depositing knowledge assets into a knowledge base by relying on a knowledge generation engine; performing intelligent enabling application of each link of the data governance process by means of an intelligent enabling engine; and an intelligent enabling application effect is fed back, and knowledge assets in the knowledge base are optimized. According to the intelligent closed-loop data governance system, data governance implicit knowledge is converted into dominant knowledge and reused, the self-adaptability and the intelligent level of the data governance process are improved through knowledge reverse enabling, and then an intelligent closed-loop data governance system capable of self-learning, self-optimizing and continuously adapting to service requirements is formed.

This invention discloses an air-cushion massage smart sofa, comprising: a backrest frame and an airbag structure surrounding the backrest frame. The backrest frame includes a backrest body and a massage mechanism, which is installed on the human-contact side of the backrest frame. The backrest frame has a mounting cavity corresponding to the massage mechanism, and the massage mechanism is installed within the mounting cavity. The airbag structure covers the backrest frame and avoids obstructing the massage mechanism. The smart massage sofa also includes a control unit, which is communicatively connected to both the massage mechanism and the airbag structure to coordinate the control of the massage mechanism's movement mode and the airbag structure's inflation / deflation state. Through the coordinated control of the control unit, this invention organically integrates the airbag structure and the massage mechanism. When the mechanical massage head performs deep therapeutic actions such as tapping and kneading, the surrounding airbags can simultaneously inflate to provide support.

This invention provides a non-invasive stimulation device based on acoustic field modulation using a concave fiber bundle. The device comprises a pulsed laser module, a laser modulation control module, a multi-channel concave fiber bundle, and a photoacoustic transducer coating. The pulsed laser, after processing by the modulation module, is input into the fiber bundle. Its output end is concave, and the photoacoustic transducer coating on the surface converts the laser into ultrasonic waves. The concave structure achieves initial geometric focusing of the ultrasonic waves, forming the geometric focus of the acoustic field. The modulation module has control channels corresponding one-to-one with the fiber transmission channels, allowing for dual-dimensional control of the emission time delay and pulse intensity of each channel's pulsed laser. This enables hardware-free axial and lateral scanning of the focus; intensity control maximizes the focus sound pressure and minimizes the sidelobe sound pressure. This invention significantly improves sound pressure gain and spatial resolution through the combination of concave fiber bundle geometric focusing and a high-efficiency photoacoustic transducer coating.

The utility model discloses a non-invasive finger clip needle roller device, which relates to the field of medical care and human body meridian stimulation equipment, and comprises a finger clip holding component, a needle roller component, a needle roller component, a needle roller component, a needle roller component, a needle roller component, a needle roller component and a needle roller component, and is characterized in that the finger clip holding component is provided with an ergonomic deformation structure conforming to finger structures to improve clamping stability and wearing comfort; the rolling needle assembly is arranged in the clamping area of the finger clamp holding assembly and comprises a rolling wheel part composed of a plurality of needle bodies, the needle bodies are arranged in an array mode along the periphery of a rolling wheel, and the rolling wheel is of a non-planar concave structure in appearance and used for forming multi-point stimulation contact on the surfaces of the fingers and acupuncture points of the fingers in the rolling process; due to the non-planar concave structure, the rolling needles can be attached to physiological fluctuation of the surfaces of fingers during rolling, especially finger joint areas, and more effective acupuncture point stimulation and massage effects are achieved. The groove-shaped structure dynamically adapts to different finger sizes, and self-adaptive clamping is achieved by combining the elastic deformation characteristic of the bent arc transition section; the wearing and sliding operations can be completed by a single person, and complicated adjusting steps are not needed.

The invention discloses a post-stroke limb movement rehabilitation nerve regulation and control method, system and device and a medium, and relates to the technical field of neural engineering and rehabilitation. The method comprises the following steps: identifying a current motor imagery intention from a current bio-electricity signal of a stroke patient and determining a target stimulation mode, a first stimulation nerve and a first stimulation pulse which are matched with the current motor imagery intention, the implantable main body controls the implantable stimulator to output a first stimulation pulse to the stimulation electrode channel corresponding to the first stimulation nerve according to the target stimulation mode; adjusting the amplitude of the stimulation pulse required by the next training according to a first feedback signal in the hand muscle group contraction process caused by the first stimulation pulse; and acquiring a new current bio-electricity signal and repeatedly executing the process until the early-stage rehabilitation training of the cerebral apoplexy is determined to be completed, and then executing the later-stage rehabilitation training of the cerebral apoplexy. According to the method, the stimulation selectivity and stability of peripheral nerves in cerebral apoplexy upper limb rehabilitation are improved, and precise regulation and control aiming at hand fine movement are achieved.

The present application relates to powder forming equipment technical field, especially to a large tonnage powder forming machine, including shell, base and powder feeding assembly, characterized by further comprising die frame mechanism arranged on the base, the die frame mechanism is composed of lower die assembly, middle die assembly and upper die assembly arranged vertically from bottom to top, the lower die assembly is used for stamping to form outer step, the middle die assembly is provided with forming cavity, the upper die assembly stamps the forming cavity to form inner step, wherein the upper die drive of the upper die assembly is arranged on both sides of the die frame mechanism, the middle die assembly is staggered arranged vertically above the lower die assembly, the die frame mechanism is symmetrically provided with load bearing seat with shoulder in the middle, used for dividing the weight and stamping force of the upper die assembly and the middle die assembly. The present application has the beneficial effects of saving the vertical height of the powder forming machine, compact structure, stable stamping, and adapting to large tonnage production of high-precision complex step workpieces.

This invention provides a standard coding method and system for power distribution network construction standards based on standard digitization. The method includes: using a power primitive visual model combined with a lightweight convolutional network, multimodal feature extraction is performed on multi-source data of power distribution network construction standards to obtain multiple independent modal feature vectors; inputting these independent modal feature vectors into a conceptual bottleneck model for cross-modal concept alignment and weighted fusion, outputting multiple joint representation vectors with unified semantic representation; and reconstructing structured information based on these joint representation vectors using knowledge graph construction technology to obtain a digital semantic coding system for the power distribution network construction standards. This invention achieves automated generation of standard codes by introducing multimodal semantic fusion based on a conceptual bottleneck model and automatic knowledge graph construction technology, breaking down barriers between multi-source standard information and ensuring the systematic nature, high coverage, and subsequent retrieval efficiency of the coding.

The application relates to a container wharf safety monitoring system based on GIS deep fusion, which comprises a data acquisition fusion layer, an intelligent analysis calculation layer and a visual interaction layer; the data acquisition fusion layer performs space-time alignment processing on multi-source heterogeneous data; the intelligent analysis calculation layer comprises a GIS fusion calculation module, an intelligent linkage control module and an abnormal monitoring and tracking module; the intelligent linkage control module is used for responding to the operation of a user selecting a target position on a map interface or the operation of the user selecting a target position on a monitoring video stream picture, selecting one or more optimal monitoring cameras for observing the target position, and controlling the optimal monitoring cameras to rotate to the geographical coordinates corresponding to the target position; the abnormal monitoring and tracking module is used for identifying abnormal behavior events of a moving target based on a monitoring video stream; the system integrates traditional scattered monitoring systems into an intelligent platform of one map through unified space-time mapping and linkage of videos, positioning and geographic information.

The utility model discloses a kind of assembly lines of light source module, including reflective paper light groove forming equipment, light source module assembly equipment, and control the material transfer and attachment assembly of reflective paper feeding to light source module assembly equipment on the light panel on;Reflective paper light groove forming equipment includes light groove forming die and turnover assembly;Light groove forming die is used for the forming of the light groove on reflective paper;Turnover assembly includes the material taking component one for taking the reflective paper after generating light groove and the turnover drive component for driving material taking component one overturn;Light source module assembly equipment includes the light panel feeding tool for positioning light panel and the light panel glue spraying component for carrying out glue spraying to light panel, material transfer and attachment assembly are used to assemble the reflective paper after overturn on material taking component one to the light panel after glue spraying.The scheme is integrated by reasonable design, reflective paper light groove forming equipment, light source module assembly equipment is no longer needed intermediate transfer process, effectively improve the efficiency of production.

The invention discloses a rogue ONU identification method, a storage medium and a program product, and belongs to the technical field of optical communication. The method for identifying the rogue ONU comprises the steps that under the condition that an optical line terminal (OLT) receives an abnormal optical signal, to-be-detected time sequence data are collected, and the to-be-detected time sequence data are time sequence data sent by a to-be-detected optical network unit (ONU) to a target OLT; the to-be-tested time sequence data is input into a preset time sequence classification model, the category of the to-be-tested time sequence data is determined, the preset time sequence classification model is obtained through training by taking first time sequence data and second time sequence data as model training samples, the first time sequence data is time sequence data of each to-be-tested ONU received by a target OLT under the condition of service conflict, and the second time sequence data is time sequence data of each to-be-tested ONU under the condition of service conflict; the second time sequence data is time sequence data of each to-be-tested ONU received by the target OLT under a normal service condition; and determining an abnormal ONU from the to-be-tested ONUs based on the category of the to-be-tested time sequence data.

The application discloses a vehicle positioning estimation method, which comprises the following steps: obtaining an initial pose satisfying a switching condition based on a particle filter algorithm; fusing the initial pose of the vehicle satisfying the switching condition, laser point cloud data and wheel odometer data based on an unscented Kalman filter algorithm to estimate the pose of the vehicle and obtain vehicle pose estimation data; calculating the variance of the current pose state estimation to determine whether the current pose is reliable; if the current pose is reliable, updating the current pose as the current pose estimation data and estimating the pose state of the next state of the vehicle based on the unscented Kalman filter; and if the current pose is not reliable, estimating the pose state of the next state of the vehicle based on the particle filter algorithm. The application further discloses a corresponding system, a storage medium and a vehicle. When the positioning estimation is performed, the application can break the dependence on the third source input of the initial pose of the vehicle, and improve the positioning accuracy and stability of the vehicle in a complex nonlinear scene.

The utility model discloses a kind of hoe type film mulching hole drill, comprising: tractor and hole opening and seeding assembly, tractor is provided with power output shaft, hole opening and seeding assembly includes: assembly installation frame, one side is provided with the transmission gear box being connected with power output shaft, transmission gear box is detachably connected with tractor by universal shaft;Film mulching device, set in the front lower part of assembly installation frame;Multiple hole opening and seeding mechanism, transverse arrangement is set in the middle part of general frame body, and hole opening and seeding mechanism includes the transmission shaft being connected with the output end of transmission gear box and seed guiding interface;Multiple seed bin device, lower end is provided with the discharge port being communicated with seed guiding interface, and seed bin device is used to regularly, quantitatively to hole opening and seeding mechanism inside seed is put in.The utility model realizes film mulching, film pressing, hole opening, precision seeding integrated continuous operation.

The invention relates to the technical field of intelligent medical treatment, in particular to an artificial intelligence-based acupoint stimulation system, which is characterized in that strain values generated by contact between acupoint electrodes and skin are acquired through a data extraction module, each acupoint electrode is controlled to be in a pre-output state through a stimulated evaluation module, and stimulated acupoints are screened in the pre-output state; the stimulated condition is judged through an intelligent analysis module according to the analysis result of the stimulated performance; and judging whether the first stimulation parameter is qualified or not based on the stimulated condition through a positioning adjustment module, or determining a second output parameter. Furthermore, a dynamic parameter adjustment mechanism is generated based on human physiological signals and muscle response characteristics, and the precision and intelligence of the acupoint stimulation process are improved according to physiological association among different acupoints in a multi-acupoint collaborative stimulation scene.