40results about How to "Achieve matching" patented technology

The invention relates to the technical field of intelligent control, in particular to an intelligent control system for a freeze-drying process based on an intelligent algorithm, which comprises an acquisition module, a freezing adjustment module, a primary adjustment module and a secondary adjustment module. According to the method, the corrected plate layer temperature after incomplete freezing is accurately recognized according to double criteria of the freezing center temperature and the temperature drop trend, and after the drying efficiency deviation degree is calculated and the abnormal type is determined by utilizing the preset efficiency interval, the related preset process conditions are adjusted; meanwhile, stagnation and overheating runaway are independently diagnosed and analyzed on the basis of time sequence correlation of the water content decreasing rate and the center temperature increasing rate, the preorder freezing defect is traced when secondary drying is normal but overtime does not reach the standard, and the slab layer temperature is reduced in an equal proportion according to the freezing defect degree; the problem that the process efficiency and the product quality stability are difficult to consider at the same time due to dependence on artificial experience, stage splitting and lack of dynamic feedback is effectively solved.

This invention discloses a passenger-side airbag assembly and a vehicle dashboard, relating to the field of vehicle airbag technology. It includes an integrated injection-molded housing, on which a gas generator and an airbag assembly are mounted. The gas generator is connected to a grounding terminal via a grounding harness. The outer mounting surface of the housing has horizontally and vertically distributed support ribs, with a retaining wall on the inner side of each rib. The retaining wall has a notch, and a slot is provided near the notch on each support rib. The slot and notch are used to restrict the rotation of the grounding terminal during assembly. This invention solves the problem of grounding terminal rotation without requiring additional tooling for positioning, ensuring effective grounding of the "generator housing" metal of the PAB assembly.

The application relates to an interface contract optimization adjustment method and device, a terminal and a computer readable storage medium. The interface contract optimization adjustment method comprises the following steps: after a spring bean is initialized, a tool class is used for interception and scanning; if the rest&rpc interface model in the scanning result contains an annotation swagger, the interface protocol on the arena is automatically covered, so that the interface protocol on the arena can be kept consistent with the interface protocol in the code without manual configuration of the interface protocol on the arena; if the rest&rpc interface model in the scanning result does not contain the swagger annotation, the rest&rpc interface model without the swagger annotation is reported to an interface protocol management system for subsequent processing; the interface protocol management system scans an arena interface list according to a preset period, and judges whether the interface data of the arena interface list matches the interface model data; if the interface data of the arena interface list does not match the interface model data, automatic rectification and release are performed in the swagger mode, the automatic monitoring and updating of the interface protocol can be realized, and the research and development efficiency and the interface protocol test efficiency can be improved.

The application relates to the technical field of mutual inductor winding production, and discloses a mutual inductor winding production processing equipment and a processing method thereof, which comprises a winding device, a rectangular core is arranged above the winding device, a plurality of air pipes are fixedly arranged at the output end of an air pump, a supporting seat is slidably connected to the upper side of the winding device, double-head air cylinders are slidably connected to the inner bottom wall of the supporting seat, supporting rods are fixedly arranged at the output end upper end of the double-head air cylinders, a plurality of sliding cylinders I are fixed to the outer wall of the supporting rods, sliding rods I are slidably arranged at the other ends of the sliding cylinders I, and a motor II is fixed to the inner bottom wall of the winding device. The controller, the air pump and the double-head air cylinders are matched, the gas pushes the plurality of sliding rods I to move and abut against the inner side of the fillet of the rectangular core, so that the problem that the existing technology cannot adapt to the cores with different fillet radii, the equipment has a single application scene and has poor universality is solved.

The application discloses a multi-field heterogeneous data adaptive classification method and system, which comprises the following steps: obtaining target data, and generating a unified feature vector and a core element set of the target data; inputting the unified feature vector and the core element set into a pre-constructed double-layer adaptive classification standard matching engine to determine a classification standard system matched by the target data; and determining fine-grained classification of the target data by using a special classification prompt word and a large model corresponding to the classification standard system. By using the application scheme, adaptive classification of full-type data in different fields can be realized, and the accuracy and management efficiency of data classification are improved.

The application provides a kind of drawing feature and digital matching method, system, equipment and medium, comprising: obtaining three-dimensional model and automatically extracting all relevant feature information;Obtain two-dimensional drawing and automatically extract all label information;Overall projection is carried out to three-dimensional model, and the model transformation projection image and projection information corresponding to three-dimensional model are generated;The model transformation projection image and two-dimensional drawing are carried out hash calculation, and the section projection picture position of the three-dimensional model corresponding to two-dimensional drawing is found;According to feature information, label information, two-dimensional drawing and step S3, determine three-dimensional model projection image and projection information, determine which part of feature of three-dimensional model corresponding to label information, and correspond label information to three-dimensional feature list;Output labeled three-dimensional model and feature label data details.The application can improve the efficiency and accuracy of two-dimensional drawing information recognition in production and processing, solve the problem of feature label information that two-dimensional drawing cannot be automatically recognized in automobile production.

This application discloses an image matching method, apparatus, device, storage medium, and computer program product, relating to the fields of artificial intelligence and data processing technology. The method includes: identifying a first image and a second image respectively to obtain n objects in the first image and m objects in the second image, where n and m are positive integers; matching the descriptive term sets corresponding to the n objects and the descriptive term sets corresponding to the m objects respectively to obtain a first matching result between the first image and the second image; wherein, the descriptive term set corresponding to each object contains descriptive terms used to describe the features of the object, and the first matching result is used to characterize whether there are identical objects in the first image and the second image. This application, by supporting image-level object matching, reduces the mismatch rate of objects compared to one-to-one object matching because it comprehensively considers the matching degree between various objects, thereby improving the object matching accuracy.

The present application relates to the field of agricultural machinery control technology, and particularly relates to a hybrid power tractor intelligent power distribution method based on multi-domain joint control, comprising the following steps: S1, collecting power domain, chassis domain and operation domain data of the hybrid power tractor, and constructing a multi-domain perception graph reflecting current working condition requirements; S2, based on the multi-domain perception graph and power data, fusing operation energy-saving priority and traction load, and constructing a multi-source power supply and demand mapping model; S3, according to the supply and demand mapping model, selecting an optimal driving mode, combining the efficiency, energy and thermal load of each power source, outputting driving switching logic and power distribution instructions, and realizing intelligent power scheduling. The present application realizes intelligent driving mode switching and efficient power distribution of the hybrid power tractor under different working conditions, and improves operation energy efficiency and system response capability.

The present disclosure relates to the technical field of audio recognition, in particular, to a subtitle alignment method and device for audio, a medium and an electronic device. The method comprises: obtaining a target audio and a target subtitle text of the target audio; if a time length of the target audio is greater than a first preset time length, performing slicing processing on the target audio according to a slice time length to obtain a plurality of first target audios; determining first audio feature information of each first target audio; if the time length of the target audio is less than or equal to a second preset time length, splicing all the first audio feature information to obtain target audio feature information of the target audio, wherein the second preset time length is greater than the first preset time length; and generating subtitle information corresponding to the target audio according to the target subtitle text and the target audio feature information. In this way, the occupation of excessive machine resources can be avoided, the matching of the target subtitle text and the target audio feature information is realized through one alignment, and the accuracy of the alignment result is improved.

The application discloses a kind of flight platform cluster's track planning method and device, the method includes: collection obtains task demand information set and flight platform cluster technical index information set;The task demand information set includes the execution position and demand information of each to be executed task;The demand information includes demand task type information and the demand value of all technical indexes;The flight platform cluster technical index information set includes the execution task type information, position information and technical index value set of each flight platform;The technical index value set includes several technical index values;The task demand information set and flight platform cluster technical index information set are preprocessed, and obtain preprocessed information set;The preprocessed information set is subjected to track planning processing, and obtains the track set of flight platform cluster.

A forming method of a packaging structure includes: providing a re-distribution board, the re-distribution board including a first re-distribution layer, the first re-distribution layer including a first group of conductive pads and a second group of conductive pads; providing a device substrate, the device substrate including a passive device layer and a second re-distribution layer covering the passive device layer, the passive device layer including at least one passive device, the second re-distribution layer including a third group of conductive pads and a fourth group of conductive pads, the other end of the third group of conductive pads being electrically connected with the passive device; using a hybrid bonding process to bond the re-distribution board and the device substrate with the first surface of the first re-distribution layer and the first surface of the second re-distribution layer as bonding surfaces; removing part of the passive device layer from the surface of the device substrate away from the re-distribution board to expose the fourth group of conductive pads; and disposing at least one chip on the surface of the device substrate away from the re-distribution board, the chip being electrically connected with the fourth group of conductive pads. The method directly integrates the passive device in the re-distribution board or on the surface layer, improving process compatibility.

The invention discloses a multi-device cooperative scheduling method and device, an electronic device and a storage medium, and relates to the technical field of robot process automation, and the multi-device cooperative scheduling method comprises the steps: obtaining a parameter index corresponding to each device, the parameter indexes at least comprise a central processing unit utilization rate, a storage input / output speed, a memory residual capacity and a network bandwidth of the corresponding equipment; based on the central processing unit utilization rate, the storage input and output speed, the memory remaining capacity and the network bandwidth corresponding to the equipment, determining a computing power value corresponding to the equipment; obtaining a computing power demand threshold value corresponding to the to-be-allocated sub-task; based on the computing power demand threshold value corresponding to the subtask and the computing power value corresponding to each device, obtaining the device corresponding to the subtask as a target device; according to the multi-device cooperative scheduling method provided by the invention, reasonable distribution of the sub-tasks can be realized, and the utilization rate of the computing power of the devices is improved.

This invention proposes a method and system for stress distribution analysis of permeable breakwaters under different wave conditions, relating to the field of coastal engineering technology. The method includes: real-time synchronous acquisition of wave information and structural response information using sensors deployed at structural components and water-adjacent areas, generating a synchronous wave-structure response dataset; based on this dataset, analyzing the correspondence between wave characteristics and structural strain data, grouping by wave phase time sequence and constructing a structural stress topology map to generate a wave-stress correlation map; determining the correlation map region based on the characteristic information of the current wave condition and the map; and analyzing the structural stress distribution information contained in this region to obtain the stress distribution of the permeable breakwater under the current wave condition. This achieves a fine mapping between wave dynamic characteristics and structural stress distribution, improving analysis accuracy and efficiency.

The invention discloses an ASON biplane networking equivalent diagram dynamic modeling intelligent method and system based on geographic information fusion, and relates to the technical field of electric power communication, and the method comprises the steps: obtaining an optical cable geographic path graph layer and a plant station node information graph layer of a first plane and a second plane in ASON biplane networking; based on the optical cable geographic path layer and the plant station node information layer, fusing the two planes by adopting a layer merging algorithm based on a graph neural network to form a unified equivalent graph; based on the unified equivalent diagram, establishing a bidirectional mapping model between an ASON logic optical path taking a plant station node as a starting and ending point and a physical path in the unified equivalent diagram; and according to a graph neural network-based layer merging algorithm and a bidirectional mapping model, in response to a network topology change or a fault event, triggering local re-fusion updating of the unified equivalent graph. According to the biplane equivalent graph construction, accurate fusion of biplane physical resources is realized.

The invention discloses a TENG power supply management circuit, and the circuit comprises a TENG module which is used for converting mechanical energy into electric energy; the input end of the Bennet voltage doubling circuit module is electrically connected with the output end of the TENG module, and the Bennet voltage doubling circuit module is used for accumulating charges generated by the TENG module and boosting voltage; the input end of the GDT module is electrically connected with the output end of the Bennet voltage doubling circuit module, and the output end of the GDT module is used for being connected with a load; and the GDT module is configured to be converted from a high impedance state to a low impedance state when voltages at two ends of the GDT module reach breakdown voltages, so that energy stored in the TENG module and the Bennet voltage doubling circuit module is released to a load in a pulse form. The TENG power supply management circuit realizes reliable collection and utilization of tiny electric energy in the environment.

The invention discloses a simulated annealing standardization correction method and system for density logging data, and belongs to the technical field of logging data processing. Comprising the steps of collecting density logging data of a standard well and original density logging data of a to-be-corrected well, preprocessing the original density logging data of the to-be-corrected well, establishing density data histogram distribution based on a linear mapping model, establishing a histogram overlapping comparison evaluation system, and calculating a comprehensive matching score. Optimizing calculation is conducted on the linear mapping model based on a simulated annealing algorithm, linear transformation parameters are automatically optimized, the optimal parameters are applied to full-well-section density data correction, and comparison between original density data and an anti-normalization processing result is achieved through anti-normalization processing. The method effectively overcomes the defects that a traditional method depends on artificial experience and is low in correction precision, data quality and processing efficiency are remarkably improved, and a reliable data basis is provided for reservoir fine evaluation.

The invention provides a constant on-time generation circuit with delay compensation, which is suitable for a DC-DC controller in a self-adaptive constant on-time control mode, and belongs to the technical field of integrated circuit design. According to the technical scheme, the charging current of the capacitor is mirrored through one circuit, the voltage of the charging branch and the voltage of the output voltage branch are respectively adjusted through the two compensation resistors, and the adjusted voltage is respectively supplied to the in-phase comparison end and the reverse-phase comparison end of the comparator. By means of the mode, time delay caused by the comparator in the DC-DC controller in the constant on-time control mode can be effectively compensated, the constant on-time TON is more accurate, the problem that the working frequency is unstable when input / output voltage fluctuates due to the time delay of the comparator is effectively solved, meanwhile, resistance matching can be achieved on the layout, and the reliability of the DC-DC controller in the constant on-time control mode is improved. Deviation caused by mismatch at different process corners is reduced, and stable work can be maintained at different process corners.

This application belongs to the field of image processing technology and discloses an image matching method, apparatus, device, storage medium, and product. This application acquires infrared and visible light images of a photovoltaic inspection area, then performs string segmentation on both the infrared and visible light images to obtain multiple infrared strings in the infrared image and multiple visible light strings in the visible light image. Next, it registers the infrared point cloud data sets corresponding to the multiple infrared strings and the visible light point cloud data sets corresponding to the multiple visible light strings to obtain a registration relationship set. Finally, it performs image matching on the infrared and visible light images based on the registration relationship set. This application can perform pixel semantic segmentation on both infrared and visible light images to obtain multiple infrared and visible light strings, then perform point cloud registration using the infrared and visible light point cloud data sets, and finally achieve image matching between the infrared and visible light images based on the registration relationship set.

The invention provides a target recognition model lightweight method and system for small sample sonar images, and the method employs classical deep learning target recognition models with different network structures and complexities to train on the same sonar image data set, selects a network model matched with the scale of the current sonar image data set, and prevents the model from being over-fitted. A lightweight model structure based on channel shrinkage is designed, and a transfer learning training method based on channel averaging is designed, so that the model starts training on a better initialization weight, and the model is further prevented from converging to a local minimum value. According to the method, a model lightweight method based on channel shrinkage is applied to a general model network structure design, a lightweight model transfer learning method based on channel averaging is applied to a deep learning model training process, and the method can greatly improve the model reasoning speed under the condition that the recognition accuracy of excessive targets is not reduced.

The application provides a kind of intelligent dimming method and system based on multi-modal physiological feedback, it is related to intelligent lighting and lighting control technical field.The application synchronously acquires eye movement data and near-infrared functional imaging brain oxygen signal under task scene, with eye movement event as anchor point alignment and compensate brain oxygen time delay, obtain time alignment multi-modal data segment;State index reflecting attention, cognitive load and fatigue degree is extracted, individualized baseline is established and dynamically updated, and normalized state feature vector is generated;The feature vector is input into neural network light regulation model, and the target light intensity, correlated color temperature and spatial distribution ratio are output;Based on the target parameter, a joint control instruction is generated, and a short physiological response is collected to form a closed-loop feedback.The application realizes real-time adaptive matching of lighting and individual physiological state, significantly improves the accuracy and human comfort of intelligent lighting.

The embodiment of the invention provides an intelligent supervision knowledge graph construction method based on multi-source heterogeneous data fusion, and belongs to the technical field of knowledge graphs. The intelligent supervision knowledge graph construction method comprises the steps that data collection is carried out through a differential collection method for structured, semi-structured and unstructured knowledge data in multi-source heterogeneous data; after the multi-source heterogeneous data are collected, performing knowledge fusion on the multi-source heterogeneous data to complete matching and alignment of entity knowledge; performing entity extraction and knowledge graph construction based on the fused multi-source heterogeneous data; and for the constructed knowledge graph, updating the knowledge graph under the condition that a corresponding condition is triggered. According to the intelligent supervision knowledge graph construction method, the knowledge graph can be constructed based on multi-source heterogeneous data and updated in time.

The invention discloses a hardware acceleration path selection method, electronic equipment and a storage medium, and the method comprises the steps: carrying out the feature extraction of a target processing task under the condition of receiving the target processing task, and obtaining a task feature vector corresponding to the target processing task; acquiring a hardware capability vector corresponding to each hardware acceleration resource, wherein the dimension of the hardware capability vector corresponds to the dimension of the task feature vector; matching the task feature vector corresponding to the target processing task with the hardware capability vector corresponding to each hardware acceleration resource to obtain the matching degree of each hardware acceleration resource to the target processing task; and according to the matching degree of each hardware acceleration resource to the target processing task, selecting target hardware for executing the target processing task from each hardware acceleration resource.

The invention discloses a metal rolling dynamic matching regulation and control method for automobile maintenance equipment production, and belongs to the technical field of rolling matching regulation and control. The initial deformation resistance analytical model and the current roller rotating speed of the upstream rack are fused, a dynamic forward slip coefficient in the rolling process is calculated, and a continuous second flow evolution track of the discharging end of the upstream rack is generated accordingly; the fluctuation characteristic quantity in the second flow evolution trajectory is extracted, and the micro-tension composite disturbance quantity between the upstream rack and the downstream rack is measured and calculated; the micro-tension composite disturbance quantity is converted into a rotating speed compensation instruction, and a dynamic matching adjustment matrix of the rotating speed difference of upstream and downstream racks is constructed; reconstructing a driving signal of the downstream rack according to the dynamic matching adjustment matrix, and generating a real-time driving current sequence of the downstream rack; and the real-time driving current sequence is injected into an execution motor of a downstream rack, a roller of the downstream rack is driven to operate according to the reconstructed rotating speed, and dynamic balance of the second flow between the racks is achieved.

Embodiments of the present disclosure disclose an information interaction method and device, electronic equipment, medium and product. The method comprises: obtaining accessory identification information corresponding to a to-be-identified accessory when the to-be-identified accessory is attached to a heating smoking set; determining an accessory verification result corresponding to the to-be-identified accessory according to the accessory identification information and a preset verification mode; and in the case that the accessory verification result is verified, retrieving interaction information corresponding to the to-be-identified accessory according to the accessory identification information; wherein the interaction information is used to present the interaction feedback effect of the to-be-identified accessory in the working state. The technical scheme realizes the digital and intelligent linkage between the heating smoking set and the accessory, upgrades the traditional accessory with only physical function to the intelligent accessory that can provide exclusive interaction feedback, and effectively improves the differentiated and immersive use experience of the user for the heating smoking set.

The invention relates to the technical field of access control, in particular to an electronic archive system dynamic access control method based on a zero-trust architecture, which comprises the following steps of: setting a measurement node to collect communication disturbance data to construct a fluctuation sequence, extracting node handshake delay and hop count change to generate connection description, comparing abnormal characteristics to generate a traffic restriction classification, and determining the traffic restriction classification. And adjusting the shielding limit frequency according to the limit level screening directory to generate processing content, and finally outputting an access authority control result. According to the method, a link disturbance sample sequence is constructed, communication fluctuation characteristics are extracted, a connection behavior description is generated in combination with node response delay and hop count change, an access grading rule is established by using disturbance frequency and node inconsistency, and unified processing content is formed by integrating resource screening, field shielding and access interval setting. Accurate matching of the resource request state and the limiting condition is achieved, access judgment is driven by means of the link state and behavior characteristics, and the dynamic response capability and the protection effect of authority control are enhanced.

This invention discloses an intelligent review method for the compliance of power safety supervision documents, relating to the field of power safety management technology. The method includes establishing a safety supervision knowledge base and an expert information database; collecting text data of power safety supervision documents and image data of power operation sites; extracting semantic features from the text and image features; employing a document risk identification model based on long short-term memory networks and attention mechanisms, and a site operation risk identification model based on rule-based reasoning technology to identify document violations and site violations; generating a list of supervision issues; and establishing a self-optimizing expert recommendation model based on reinforcement learning to output a list of recommended experts and a list of key supervision areas. This invention, by constructing a multi-model collaborative intelligent review method, achieves automated analysis of power safety supervision documents and site images, accurate location of violations, dynamic optimization and matching of expert resources, and proactive pre-emptive risk control, comprehensively improving the efficiency of supervision work.

The utility model relates to the field of shoe production, and discloses a sole pressing machine for shoemaking, which comprises a case, a limiting shell and a support, the limiting shell is fixedly arranged above the case, a plurality of first hydraulic telescopic rods are fixedly arranged on the left side wall and the right side wall in the limiting shell, and the end parts of the first hydraulic telescopic rods are fixedly connected with fixed pressing heads; two side pressing rubber plates are arranged in the middle of the limiting shell, two rubber fixing devices are fixed to each of the two sides of the limiting shell, rubber extension strips are fixed to the two ends of the two side pressing rubber plates, and the multiple rubber extension strips are correspondingly fixed to the interiors of the rubber fixing devices correspondingly; a toe cap rubber pressing block and a heel rubber pressing block are arranged at the front end and the rear end of the limiting shell respectively. According to the utility model, the pressing mechanism is additionally arranged on the easy-to-deglue part, so that the pressing effect is enhanced, the possibility of deglue of the easy-to-deglue part is reduced, and the service life of the shoe is prolonged.

The application discloses a text recognition method and related device, wherein the method comprises: calculating a rotation angle of each text recognition box, the text recognition box comprising at least a group of semantically coherent texts; performing DBScan clustering on the rotation angles of a plurality of text recognition boxes to obtain a plurality of clustering clusters; separating text recognition boxes that do not meet requirements in each clustering cluster and arranging text recognition boxes that meet requirements in each clustering cluster according to a preset word order to obtain a target word order arrangement group; and matching the target word order arrangement group with commodity labels in a preset dictionary library to obtain a recognition result. The application can be used for a single picture of intensive marketing text and has good recognition effect.

The embodiment of the invention provides a video clip recommendation method and device, a storage medium and electronic equipment, and the method comprises the steps: determining an instant intention vector of a target object through the interaction operation of the target object on a to-be-processed video, and carrying out the similarity matching based on the instant intention vector and a plurality of candidate video clips, the plurality of candidate video clips are video clips extracted from a to-be-processed video in advance; the signal change trends of the multi-modal signals included in the candidate video clip at the multiple time points are the same, so that the candidate video clip can be matched with the instant intention vector, and the target video clip is determined. The recommendation logic not only considers the internal signal change trend of the to-be-processed video, but also combines the instant intention vector of the target object, so that accurate recommendation can be realized. Therefore, the problem that in the related technology, the precision is poor when video clip recommendation is carried out can be solved.

The invention discloses a precision hardware machining intelligent control system based on a numerical control machine tool, and relates to the technical field of numerical control machine tool control. According to the system, firstly, three-dimensional geometric features and material attributes of a workpiece are obtained through a feature analysis module, and data support is provided for machining parameter matching; through a mapping database of a processing parameter determination module and a multi-factor weighting algorithm, matching of processing parameters and three-dimensional features of the workpiece is realized, and blindness of parameter selection is avoided; then, by means of a flutter suppression pre-optimization module, flutter risks in different machining stages are pre-judged in advance, parameters are optimized, and potential flutter is actively avoided; meanwhile, vibration characteristics are extracted in real time through a flutter judgment module, flutter and strength are recognized, and real-time feedback is provided for parameter adjustment; and finally, the processing parameter optimization module dynamically determines the compensation amount based on the flutter intensity, so that the problems that in the prior art, the processing parameters are difficult to match based on the three-dimensional characteristics of the workpiece, flutter suppression is difficult to carry out, and the processing parameters are difficult to compensate according to feedback in the processing process are solved.