27results about How to "Achieve seamless integration" patented technology

This invention relates to the field of wine cabinet technology, specifically to an island wine cabinet with an independent island structure and at least two doors on the side walls opening in different directions for convenient multi-directional access. Its direct cooling and heating circulation system switches the refrigerant flow direction via a four-way valve, enabling the same system to switch between cooling and heating modes. The top functional module and the direct cooling and heating circulation system are electrically and signal-connected to the cabinet via quick-plug interfaces, forming a modular, pluggable structure. The intelligent control system monitors the chamber temperature through temperature sensors, and the main control unit dynamically adjusts the operating power of the top functional module and the direct cooling and heating circulation system accordingly, achieving coordinated operation. Compared with existing technologies, this invention integrates professional temperature control, multi-directional access, modular expansion, and coordinated control, realizing the fusion of wine storage, cooking, and social scenarios, significantly improving space utilization, ease of use, functional customization capabilities, and energy efficiency.

The invention provides a forming process of a complex special-shaped section launching barrel. The forming process comprises the following steps of production preparation, forming of a functional layer and an inner pipe body, filling of a guide sliding groove and forming of an outer pipe body, overall curing and pre-pipe-hoop forming and aftertreatment. According to the invention, a sharp and complex geometrical shape is converted into a curved surface in smooth transition through the pretreatment procedure of filling wires into the guide chute, so that a perfect base is provided for the subsequent laying of a structural layer, and the hidden danger of overhead is fundamentally eliminated; a vacuum bag technology is combined with hand lay-up forming, and a silicone rubber block is used in a key area for local sealing and flow guiding. According to the combined process, uniform compaction pressure can be applied within the range of the whole structure, interlayer bubbles and redundant resin are efficiently removed, a product with high compactness and low porosity is obtained, and the reliability of consistency of mechanical properties of the product is greatly improved.

This invention relates to the field of software operation forensics and fault diagnosis technology, specifically to a method for recording a minimum sufficient evidence package for an airbag control unit and an automotive airbag control unit. The method is executed in a Classic AUTOSAR environment and includes: determining whether both anomaly symptom conditions and operational state time gating conditions are simultaneously met; if so, determining that the trigger condition is established; recording the trigger time; and freezing event information, path signatures, and key variable snapshots at the end of a predetermined window after triggering. Combined with the invariant assertion bitmap at the time of triggering, a minimum sufficient evidence package is generated. Compared with existing technologies, this invention can record a minimum sufficient evidence package with predictable and extremely low operational overhead, and has advantages such as not changing the airbag control logic path, not entering the ignition ISR critical segment, and retaining evidence even in power-down scenarios.

The present application relates to the technical field of zinc metal battery, in particular to a multifunctional composite gel electrolyte, its preparation method and application. The present application provides a composite gel electrolyte, which comprises a polymer gel matrix, a zinc salt and a ZnHA filler; wherein the ZnHA filler is a hydroxyapatite material doped with zinc ions. The electrolyte is prepared by polymer dissolution, zinc salt addition, ZnHA dispersion, three-dimensional printing forming, low-temperature gelation and zinc salt solution activation, and has good shear thinning characteristics, self-supporting property and printability. Further, a three-dimensional printed interdigital structure electrode is constructed, and the electrolyte is covered to form an ion transmission channel, and a flexible zinc metal battery is assembled; multiple monomers can be connected in series to increase the output voltage. The flexible battery has excellent ion transmission, cycle stability, flexibility and safety, and can be used in the fields of flexible electronics, wearable devices and intelligent sensing.

The invention discloses an airport pavement surface layer plate design method and system and a readable storage medium, and relates to the field of airport pavements, in the method, firstly, a block design parameter dictionary and design data are read to obtain a block design base, then point-line construction and seam line preprocessing are carried out by adopting a half-side data structure, and an airport pavement surface layer plate is obtained; and carrying out region segmentation and surface layer information assignment through an anticlockwise minimum region half grid method, then carrying out reinforcement design on underground pipelines, a filling and excavation boundary line passing region and a special-shaped region, and finally generating a three-dimensional model and assigning attribute information. According to the method, the associated configuration of the design parameters, the intelligent judgment of the reinforcement scheme and the seamless integration of the design data and the three-dimensional model are realized, and the design efficiency and accuracy are effectively improved.

The invention discloses a side end multi-scene perception control system and method based on mechanical arm vision, and relates to the technical field of intelligent technology. Through the unified software development kit and the intelligent sensing control software with the body, the intelligent terminal can be used for cooperative work with multiple types of mechanical arms, multiple types of depth cameras and multiple types of sensors, and seamless integration and cooperative work of the multiple types of mechanical arms and the depth cameras are achieved; multi-scene intelligent sensing and mechanical arm operation control under the limited computing power of a terminal are achieved, the intelligent sensing and operation control capacity of the system is improved, meanwhile, decoupling type integration of the mechanical arm, the depth camera and multiple sensors is achieved through a unified interface layer and a calling layer, the coupling degree and adaptation cost of the system are remarkably reduced, and plug and play is supported.

The present application relates to the technical field of computer network, and especially relates to a fast forwarding method and system of network data packet of zero-patch kernel integration. The method comprises the following steps: registering a hook function at a key node of data packet processing, obtaining a registration custom processing function, expanding a connection tracking structure in a Linux kernel connection tracking system, and adding a custom field to store a fast forwarding state; constructing a fast NAT connection table; when the data packet reaches the registration custom processing function, calculating a hash value of the data packet, searching for a corresponding connection node in the fast NAT connection table through the hash value; if the valid connection node is found, updating header information of the data packet and sending the data packet to a target interface; otherwise, marking connection tracking information and making the data packet go through a regular Netfilter processing flow. The present application can solve the performance bottleneck problem caused by the dependence of the Netfilter complete flow in the traditional Linux kernel network forwarding scheme.

The application discloses a kind of based on digital human segmentation MRI image splicing and fusion method, comprising: the MRI data of different parts of human body obtained by nuclear magnetic resonance scanning is first registered after being preprocessed such as noise reduction, using the resolution, orientation etc. of reference image and floating image after registration, further realize the transformation of floating image between image coordinate system and world coordinate system, simultaneously based on trilinear interpolation interpolation and operation in the above spatial transformation process.The application realizes the seamless fusion of the three-dimensional image to be spliced in high and low frequency direction, effectively utilizes image high and low frequency component information.The application not only simplifies the two-stage image splicing and fusion process of traditional splicing method, i.e.fusing overlapping area first and then splicing non-overlapping area, and greatly improves the overall splicing and fusion accuracy of segmented MRI data.

This invention provides a method, device, and electronic device for simulating hydraulic muscles based on the MuJoCo physics engine, belonging to the field of robot simulation technology. The method includes: acquiring the current state information of the hydraulic muscle and a predefined fixed-length parameter array; and calculating the hydraulic muscle force using a polynomial constitutive model of the hydraulic muscle through a preset muscle force calculation function interface in MuJoCo, wherein the interface is consistent with the original Hill muscle model interface of the engine. Using this invention, accurate integration of the hydraulic muscle model can be achieved without modifying the MuJoCo engine interface, improving the compatibility, stability, and modeling accuracy of the simulation system.

The application relates to the field of semiconductor technology and discloses a method for improving the ion implantation uniformity of a high-energy ion implanter, which comprises the following steps: firstly, generating plasma with a density of 10^11 / m^3 in an arc chamber by optimizing ion source excitation parameters; then, establishing a mathematical model based on a mean square deviation formula, calculating a deviation coefficient of an injection beam current intensity in real time, and adjusting the moving speed of a scanning mechanism in a closed loop to realize dose compensation; in addition, a full solid-state radio frequency power supply and a multistage resonant cavity are adopted to reduce energy loss, and a composite structure manufactured by a vacuum brazing process is used to improve the thermal stability of an extraction system. In combination with atomic mass analysis and an energy screening model, the application precisely controls the beam quality from multiple dimensions such as a physical source, energy management and structural deformation. The method significantly improves the spatial uniformity and depth consistency of the implantation dose, and meets the requirements of high-precision, long-term stable ion implantation processes under advanced processes.

The invention relates to the technical field of production control, in particular to a mining instrument production line control system and method based on adaptive scheduling and multi-protocol fusion, and the method executed by the system comprises the steps: 1, triggering a production task according to an order; 2, analyzing a production task, disassembling the production task into a plurality of sub-tasks, distributing the sub-tasks to different stations to implement production, and monitoring the state of each station in real time; wherein in the production process, the production mode is adjusted in real time according to the order priority and the production state of each station. Through the adaptive task scheduling engine, the system can dynamically optimize the task allocation and execution sequence according to the real-time production state, and effectively cope with disturbances such as emergency order insertion and equipment faults.

The invention discloses a document structure self-adaptive recognition method and device based on machine learning and a medium, and the method comprises the steps: obtaining input document data, preprocessing the input document data to convert a document file into uniform text format data, and extracting format feature data in the uniform text format data; performing pattern learning on the format feature data by using a machine learning algorithm to generate analysis rule data; the analysis rule data comprises a regular expression rule and a semantic analysis rule; performing document structure identification on the unified text format data by applying the analysis rule data, and constructing a document structure tree based on an identification result; converting the document structure tree into a standardized structured data format, and outputting structured data through an application program interface; the structured data format comprises a JSON format or an XML format.

The invention relates to a rotary feeding valve state monitoring system and method based on multi-mode signal sparse diagnosis, and belongs to the field of metallurgical equipment state monitoring and diagnosis. According to the system, stress waves, vibration and current signals of a rotary feeding valve are collected, depth features of all the signals are extracted through a multi-channel convolutional neural network, feature representativeness is enhanced by embedding an attention mechanism, then multi-source feature fusion is carried out, low-redundancy sparse features are extracted in combination with a sparse auto-encoder, and the multi-source feature fusion is realized. And a Softmax classifier is adopted to diagnose and identify idling, normality and blade friction jamming states of the rotary feeding valve. According to the method, the problems of incomplete traditional single-signal diagnosis, strong dependence of manual feature extraction, difficulty in multi-source information fusion and low reliability of diagnosis results are solved, and comprehensive and accurate state monitoring, intelligent feature extraction, effective information fusion and interpretable remote early warning can be realized; and the accuracy and the reliability of equipment state identification are obviously improved.

The utility model relates to the technical field of mobile phone receivers, and discloses a three-proofing mobile phone LDS antenna contact receiver, which comprises a mobile phone main body, a bottom shell support and a bottom shell cover plate, the bottom shell support is arranged in a collection main body, the bottom shell cover plate is arranged on the bottom shell support, a laser LED antenna, a laser LDS antenna and a mobile phone receiver are respectively arranged on the bottom shell support, and the mobile phone receiver is arranged on the bottom shell support. The laser LDS antenna is connected with a mainboard elastic sheet on the bottom shell support, a receiver elastic sheet on the mobile phone receiver is connected with the laser LDS antenna, a camera is installed in the middle of the bottom shell support, the laser LDS antenna and the mobile phone receiver are adjacently arranged at one end of the bottom shell support, and the laser LDS antenna is arranged on the surface of the bottom shell support in a laser carving mode. A receiver switching FPC is replaced by a laser LDS antenna circuit, seamless fusion of an antenna and a mobile phone structure is realized, the occupied space is reduced, the cost is reduced, and the radiation-proof film is arranged on the periphery of the mobile phone receiver, so that radiation of mobile phone electromagnetic waves to a human body is blocked.

The invention discloses a multi-service converged communication system and method based on soft switching, and relates to the technical field of communication. According to the system, by constructing a soft switch core network with a layered architecture, fused transmission and processing of multiple services such as voice, data, video and the Internet of Things are realized. The system comprises a service access layer, a soft switch core layer, a service support layer and an application service layer which work cooperatively through standardized interfaces, and the service expansibility and the resource utilization rate of the communication system are improved. Meanwhile, a multi-service priority scheduling algorithm and a dynamic bandwidth allocation method provided by the invention solve the QoS guarantee problem when multiple services are concurrently. Experimental data show that the transmission delay of the system in a multi-service fusion scene is reduced by 15%-20%, the bandwidth utilization rate is improved by more than 25%, and the system has remarkable technical advantages.

This invention discloses a chest CT image processing system, including a data acquisition module, an image enhancement module, a multi-resolution fusion module, and a high-fidelity export module. This invention relates to the field of intelligent CT image processing technology, specifically a chest CT image processing system. This system performs intensity cropping and normalization on CT images, and combines logarithmic domain bias field regularization iterative correction to restore tissue contrast. First, it locates the lung field, refines the boundaries using variational segmentation, and uses mask-constrained nonlocal mean denoising within the lung to preserve small lesions. It then combines a Hessian matrix with an improved Frangi metric for structural enhancement, fusing the original image, denoised image, and enhanced image. Based on structural response and gradient, it constructs a voxel-level importance mapping, performs high- and low-resolution resampling, and seamlessly synthesizes the images according to weights, preserving high resolution and detail in key areas, improving the accuracy of lung field and lesion boundaries, while reducing computational and storage overhead and effectively avoiding artifacts.

This invention discloses an IP broadcast audio processing method and system for a converged broadcast system, belonging to the field of IP broadcast technology. The method includes audio preprocessing and encoding, dynamically adjusting three sampling rates (16000Hz / 32000Hz / 48000Hz) using a three-dimensional decision model combining broadcast type, terminal computing power, and scene noise; audio interleaving and FEC redundancy generation; multi-terminal clock synchronization using the chrony NTP service combined with smoothing correction and drift suppression; packet loss detection and hierarchical compensation using a four-layer protection mechanism: interleaving for burst response, FEC priority error correction, unicast continuation, and local hierarchical compensation; audio noise reduction and synchronized playback; and iterative optimization and collaborative management. This invention enables seamless integration and unified management of four major broadcast types, solving problems such as poor coordination among multiple broadcast types, low synchronization accuracy, poor packet loss compensation, and insufficient noise reduction and terminal adaptability, significantly improving the playback quality and emergency response efficiency of the converged broadcast system.

This invention provides a method and system for layered measurement of the capacity of spoil heaps. The method includes: using a scanning array composed of L three-dimensional laser stations to synchronously scan layer by layer at preset elevation intervals to acquire multiple sets of topographic point cloud data; performing elevation point matching on each layer of data to locate K elevation coordinate points corresponding to surface feature points; establishing a unified reference coordinate system through digital elevation model fusion technology; classifying and processing feature points and constructing a spoil heap contour mesh model, which is then superimposed with a base three-dimensional model to generate a composite model; performing terrain consistency calibration on internal points of the spoil heap to acquire calibrated elevation data; calculating the three-dimensional coordinates of internal points using a spatial triangulation algorithm, and integrating them to construct a layered spoil heap three-dimensional model; finally, calculating the total spoil heap capacity based on the volume difference of the multi-level models. This invention can achieve high-precision automated measurement of spoil heap capacity, improving the accuracy of volume calculation and operational efficiency.

This invention relates to the field of information technology and provides a method for editing and customizing templates for 3D construction reports based on BIM+GIS. The method includes: collecting user perspective change information to extract location coordinates and direction vectors to obtain the current visible area; performing resource scheduling and priority ranking on the 3D scene based on this area and its changes to determine the loading sequence; obtaining the loading sequence to perform memory allocation on resource blocks, and unloading low-priority area resource blocks when the limit is exceeded to obtain an optimized resource configuration; extracting state parameters including lighting effects and location data before scene switching based on the optimized resource configuration, and generating a smooth transition path for scene switching through smooth interpolation calculation. This invention achieves dynamic and fine-grained scheduling of 3D scene resources and smooth and continuous transition of scene states, improving the fluency and coherence of 3D visualization.

The invention provides a preparation method of a manganese-carbon-silicon molecular sieve for purifying air in a vehicle, which comprises the following steps: step (1), loading a silicon oxide molecular sieve on activated carbon to obtain a carbon-silicon composite molecular sieve base material; (2) generating a coating containing manganese oxide and aspartic acid on the carbon-silicon composite molecular sieve base material obtained in the step (1) to obtain a first composite molecular sieve; and (3) loading a taurine coating on the first composite molecular sieve obtained in the step (2) to obtain a second composite molecular sieve, namely the manganese-carbon-silicon molecular sieve. The invention also provides the manganese-carbon-silicon molecular sieve prepared by the preparation method. According to the preparation method and the obtained manganese-carbon-silicon molecular sieve, broad-spectrum synergistic purification can be carried out on various main pollutant types in air in a vehicle, the overall purification efficiency is remarkably improved, and the quality of the air in the vehicle meets and exceeds the strict standard requirements of mother and baby health vehicles.

This invention discloses a self-supporting carbon-based carbon dioxide adsorption-desorption unit and its arrayed networking system and intelligent control method. The adsorption unit is integrally formed from carbon dioxide adsorption material into plates, sheets, corrugated surfaces, irregularly shaped three-dimensional forms, or flexible films, and is self-supporting without a container. It has an internal through-flow gas channel; a regenerative heat source raises the temperature of the adsorption body to ≤100℃, and at least one of Joule heating, infrared heating, or hot air heating can be selected; a decorative layer is provided on the surface, and an installation structure is provided on the back. The units are independent and pluggable, with the same or different specifications, and can be connected in parallel, series, or a hybrid series-parallel network. The system includes multiple units, environmental sensors, and a controller, enabling independent control, gas supply to the inner walls of plant factories, wall purification in conference rooms / classrooms, linkage with fresh air systems, staggered scheduling of heterogeneous carbon bricks, LSTM concentration prediction, and reinforcement learning optimization. This invention solves the technical problems of existing DAC devices, such as high-temperature safety issues, space occupation, mandatory uniformity of specifications, and disconnection from the building environment.

This invention discloses a method and system for optimizing immersive, lightweight, and intelligent embedding of short video feed ads, belonging to the field of advertising technology. First, it collects short video data and extracts features, while simultaneously capturing user status and outputting real-time user profile data. Then, it filters ads, performs compliance screening and weight matching, generates embedding plans, calibrates time slots, and outputs precise embedding plans. Next, it performs lightweight processing, noise reduction and purification, point-to-point embedding, image blending, and interactive adaptation on the ad materials, outputting the final optimized immersive short video ad product. Finally, it collects and scores the ad delivery results, and iteratively optimizes parameters based on the scores. Based on this, the invention significantly reduces the size of ad materials, substantially lowers device computing power and bandwidth resource consumption, and fundamentally improves the problems of loading delays, frame drops, and stuttering in short video ads.

The invention discloses a business index management method and system of a financial product and electronic equipment, and relates to the field of financial science and technology, and the method comprises the steps: extracting a product name of a newly-added financial product from a product newly-adding request; analyzing semantics of product names by utilizing a lightweight text classification model, outputting a product level recommendation directory based on semantic information of the product names and level constraint rules, and extracting key business indexes associated with newly added financial products in a target product tree by adopting a natural language model; mapping the key business indexes to a field recommendation model, querying field data of the data lake table by the field recommendation model, and outputting recommended fields; and storing a mapping relationship between the key business indexes and the recommendation fields into the target knowledge base. The technical problem that in the financial product information management process in the related technology, a key business index and a data table in a bottom layer data lake lack an association mechanism, and data islands are easily caused is solved.

The invention discloses an on-chip temperature sensing method for monitoring heat distribution of an integrated circuit, belongs to the technical field of semiconductors, and aims to solve the problems of insufficient temporal-spatial resolution, large thermal field reconstruction deviation, high hardware overhead and the like in the prior art. According to the method, a microstructure thermal response unit composed of a high-thermal-conductivity metal layer and a low-thermal-capacity dielectric layer is embedded in a chip, a thermal time constant of the microstructure thermal response unit serves as a dynamic sensing parameter, and a three-level framework of a basic sensing layer, a regional polymerization layer and a global coordination layer is constructed; and in combination with pulse heating-cooling time sequence measurement, weighted fusion based on heat flow continuity constraint and a data assimilation algorithm based on partial differential equation constraint, high-precision real-time reconstruction of the three-dimensional temperature field is realized. According to the scheme, additional process masks are not needed, the area overhead is lower than 0.5%, and the submillimeter-level space resolution and the microsecond-level time resolution are both achieved.

The invention belongs to the technical field of panoramic image superposition, and particularly relates to a vector pattern spot and spherical panorama accurate sleeving method based on multi-coordinate conversion. According to the method, through multi-coordinate conversion and in combination with attitude optimization and direction correction, spatial accurate alignment of the image and the vector pattern spot is realized, the sleeving precision is greatly improved, feature points are automatically extracted based on the unmanned aerial vehicle image, beam method block adjustment and attitude optimization are carried out, manual intervention is not needed, and the method is simple and convenient to operate. High stability and consistency can be kept under different image shooting conditions, a high-quality spherical panoramic image can be generated, vector image spots can be overlaid in a panorama, seamless fusion of the panoramic image and geographic information data is achieved, the visualization effect and the application value are enhanced, and through control point constraint and attitude correction, the high-quality spherical panoramic image can be obtained. Error accumulation in the panoramic image generation and vector nesting process is effectively reduced, and the consistency and reliability of geographic space data are improved.

This disclosure presents a transparent cortical electrode, its fabrication method, acquisition system, and assembly system. The transparent cortical electrode comprises a basal layer, a conductive layer, a transparent conductive coating, and an insulating layer. The basal layer includes a transparent window region and a connection region, the window region being used to encapsulate a cranial opening. The conductive layer includes an electrode array formed on the window region, pads formed on the connection region, and leads electrically connecting the electrode array and the pads. The transparent conductive coating is formed on the electrode array for acquiring neural electrical signals. The insulating layer is made of a transparent material, covering the leads and exposing the transparent conductive coating. The transparent cortical electrode proposed in this disclosure enables seamless integration of neural electrical signal recording, cranial encapsulation, and neural imaging, allowing for simultaneous recording of neural electrical activity and neural imaging.