99results about How to "Lower technical threshold" patented technology

The utility model provides an auxiliary device for installing a pipeline in a narrow space, belongs to the technical field of building construction, and provides the following technical scheme mainly aiming at the problem that the pipeline is difficult to be heated uniformly when the existing water pipeline is heated, softened and butted. Comprising two sets of mounting frames, sliding through grooves are formed in one sides of the two sets of mounting frames, two sets of clamping jaws are slidably mounted in the two sets of sliding through grooves correspondingly, a first mounting groove is formed in the top of one set of clamping jaws, a heater is mounted in the first mounting groove, one side of the heater makes contact with a vapor chamber, and the other side of the heater makes contact with the vapor chamber. By combining the heater with the clamping jaw, the auxiliary device for installing the pipeline in the narrow space can uniformly heat and soften the water pipe, can also adapt to water pipes of different sizes, and solves the problems that when an existing water pipe is heated, it is difficult to ensure that the pipeline is uniformly heated, and the pipeline is not uniform in heating. And construction by operators is not convenient.

The invention discloses a dynamic motion primitive coding method and system based on Lie group Lie algebra, and the method comprises the steps: uniformly representing the tail end pose and contact force spinor of a robot in a Lie group form, and constructing a unified mathematical framework; the method comprises the following steps: acquiring a pose and a force spinor sequence through a teaching phase, and converting the force spinor sequence into a virtual pose sequence through scaling mapping; establishing a dynamic motion primitive (DMPs) model based on the Lie group Lie algebra theory, and learning a model weight matrix and a primary function parameter by adopting local weighted regression; and according to the initial and target poses of the new task, generating a smooth trajectory through phase synchronization control and Euler integration, and outputting the smooth trajectory to a robot controller. According to the method, the problems of posture singularity and motion distortion caused by splitting of a posture channel in a traditional DMPs method are solved, the learning fidelity and reproduction stability of the six-degree-of-freedom posture track of the robot are improved, the smoothness and coordination of the whole motion process are guaranteed, and the debugging complexity of a force control system is reduced.

The application relates to the technical field of building information technology and discloses a building 3D model automatic generation method and system based on a DXF file, which comprises the following steps: extracting floor numbers by analyzing the file name of a multi-floor DXF file, performing concurrent format conversion on multiple files to generate GeoJSON data, identifying building components such as walls, doors, windows and rooms of each floor through geometric semantic analysis to generate a floor building semantic model, assembling and generating a complete 3D building model according to the floor sequence based on the semantic model, and simultaneously realizing asynchronous task scheduling of each link by using a distributed micro-service architecture. The application can realize full-automatic, efficient and high-precision generation of a building 3D model, greatly reduces the modeling cost and technical threshold, and is suitable for application requirements of multiple scenes such as building design, real estate display and city digital twinning.

This application discloses an AGV control method and device using button combination coding, comprising the following steps: setting a combination of buttons and knobs on the conspicuous external end face of the AGV; setting the functions and attributes of the combined buttons and knobs, including but not limited to: an action combination button, a vehicle type knob, and a coding combination knob; the action combination button is used to control the AGV to perform a preset action; the vehicle type knob is used to set the AGV to a vehicle type performing certain specific functions; the coding combination knob is used to set the address code corresponding to the AGV performing the preset action; the AGV is controlled to perform a preset task through the combination coding of buttons and knobs, and the task and action of the AGV can be modified at any time by adjusting the combination coding. This application avoids the hazards of AGV control signal loss, signal disconnection, and control failure caused by changes in network signal strength; it enriches the functions of traditional AGV setting devices, simplifies the operation process, and facilitates the promotion and application of AGV products.

The application belongs to the technical field of property management, and particularly relates to a gate access identification device for property management, which comprises a fixed frame, an adjusting assembly is arranged on the fixed frame through two connecting holes formed in the rear end of the fixed frame, and the left and right sides of the adjusting assembly are respectively connected with two limiting rods through sliding connections. The gate access body can be quickly disassembled and assembled through the cooperation of the electric push rod main body, the connecting plate, the hinged plate, the hinged shaft, the sliding plate and the T-shaped fixed rod, so that the device does not need screwdrivers, wrenches or any other auxiliary tools for installing or disassembling the gate access body. For property or maintenance personnel, this greatly shortens the downtime when repairing or replacing equipment.

The invention discloses a sensing probe assembly, a fluidic optical fiber sensing system and a preparation method, and relates to the cross technical field of optical fiber sensing technology and microfluidic detection. One free end of a single-mode optical fiber in the sensing probe assembly is fixed to the outer wall of a first square capillary tube through ultraviolet curing glue, and a second square capillary tube is coaxially or parallelly inserted into an inner cavity of the first square capillary tube. A uniform air gap is formed between the inner wall of the first square capillary tube and the outer wall of the second square capillary tube, a microfluid channel is formed in the middle of the second square capillary tube, and broadband light beams emitted from the single-mode optical fiber are vertically incident. The micro-fluidic chip sequentially penetrates through the ultraviolet curing adhesive, the upper wall of the first square capillary tube, the air gap and the upper wall of the second square capillary tube, enters the micro-fluidic channel filled with liquid to be detected, then penetrates through the lower wall of the second square capillary tube and finally reaches the lower wall of the first square capillary tube. The probe has the advantages of high detection sensitivity, strong light beam coupling stability and the like.

This invention relates to the field of cable fault location, and particularly to an AI-based method and system for locating grounding circulation fault sources in high-voltage cable tunnel sheaths. The method includes: collecting circulating current signals from nodes in the tunnel sheath grounding system to construct an initial dataset; calculating mutual information entropy values ​​for node pairs and extracting frequency components to construct a time-varying coupling matrix; statistically analyzing the number of nodes with enhanced coupling; identifying causal emerging nodes through clustering to construct an emerging event graph; selecting the earliest causal emerging node as the starting node; calculating the propagation path entropy value based on the time-varying coupling matrix to construct an entropy-reducing propagation network; calculating the weighted sum of the out-degree centrality and betweenness centrality of network nodes as a topological centrality index; selecting the node with the maximum value as a candidate fault source node; and calculating the matching distance between the frequency components of the candidate fault source node and a preset fault characteristic frequency database to output the location identifier and fault mode. This method achieves accurate location and type identification of grounding circulation faults in high-voltage cable tunnel sheaths.

The invention discloses a workpiece attitude error compensation method and system based on a space angle and a TCSTRANS. According to the method, automatic sensing, seamless compensation and efficient machining of workpiece attitudes are achieved through the synergistic effect of three core technologies including automatic fitting of a space angle aligned by a laser plane, workpiece coordinate system correction of kernel translation and TCSTRANS characteristic coordinate system transformation supporting five-axis RTCP programming. An original machining program does not need to be modified, the operation complexity and the technical threshold are reduced, the machining precision, efficiency and process reliability are greatly improved, the method is particularly suitable for machining of a five-axis numerical control machine tool on precise workpieces, and the problems that in the prior art, manual experience is relied on, program management is disordered, and post-processing is complex are solved.

This application discloses a knowledge- and data-driven elastic positioning method, system, and storage medium. The method includes: generating a knowledge graph based on a knowledge base in the positioning domain; the knowledge base includes multiple pieces of first knowledge information, including entity pairs in the positioning domain, relationships between entity pairs, and a first confidence level of the relationships; nodes in the knowledge graph represent entities, edges in the knowledge graph represent relationships between different entities, and the attributes of the edges include the first confidence level of the relationship represented by the edge; inferring a positioning model applicable to the target object based on currently available information sources, observation data of the available information sources for the target object, and the type of observation data; the positioning model includes positioning parameters, observation equations, and state transition equations; and locating the target object based on the observation data and the positioning model to obtain the positioning result of the target object.

The invention discloses a process testing method and device, equipment and a storage medium, and the method comprises the steps: obtaining a data model normal form which comprises a plurality of fields and a data storage condition of each field; a test case template is generated based on the data model normal form, the test case template comprises the multiple fields and data stored in each field, and the data stored in any field is generated based on the data storage condition of the corresponding field; obtaining a to-be-tested target business process, and modifying data in at least one field in the test case template based on a target test scene corresponding to the target business process to obtain a target test case; and analyzing data stored in the multiple fields in the target test case to obtain a target test behavior, and testing the target business process based on the target test behavior. According to the method and the device, the technical threshold and the labor cost required by the process test can be reduced, and the efficiency of the process test is improved.

The invention discloses an electronic medical record examination method, system and device and a medium, and relates to the technical field of computers, and the method comprises the steps: a computer device obtains original medical data from different sources, and carries out the preprocessing of the original medical data, so as to obtain preprocessed data; determining a rule chain corresponding to the review task based on a review rule or a large model manually configured by a user; the review rule comprises a target rule based on a structured query language and a large model semantic rule based on cue word engineering; after the review task is triggered, executing the review task based on the preprocessed data according to a rule chain of the review task to obtain a review result; identifying the type of the last rule in the rule chain, and processing the review result based on the identified type to obtain a processed result; and integrating the processed result corresponding to each review task with the electronic medical record to obtain a structured review report. Therefore, workers can be automatically assisted in completing the electronic medical record review task in batches.

The invention provides a method for correcting installation of a pluggable control rod module, which is applied to a game controller and comprises a connecting interface, an analog-to-digital converter and a controller, the analog-to-digital converter is electrically connected with the connecting interface, and the controller is electrically connected with the analog-to-digital converter. The correction method comprises the following steps: when the connection interface is electrically connected with the pluggable control rod module, the analog-to-digital converter converts analog voltage of a potentiometer of the pluggable control rod module into a numerical value, and in a power-on state, the controller judges whether the numerical value of the analog-to-digital converter is within a preset range; if the numerical value of the analog-to-digital converter is within the preset range, the controller performs filtering calculation processing on the numerical value of the analog-to-digital converter and then outputs control rod data; and the controller detects the jitter state of the control rod data to serve as the basis of the shutdown state.

The application discloses a surgical knife for layered cutting of connective tissue grafts on the palate side of the maxilla, and belongs to the technical field of oral medical instruments. The surgical knife comprises a handle, a connecting rod, and a layered cutting head end arranged at the distal end of the connecting rod. The layered cutting head end comprises a pair of parallel blades, a pair of depth-limiting baffles, and a tissue separation block arranged between the parallel blades. The width and depth of the graft can be accurately set through a width adjustment mechanism and a depth adjustment mechanism. During the cutting process, the tissue separation block can separate the keratinized gingiva on the surface layer from the deep tissue in situ, so that a pure connective tissue graft is obtained at one time, and the surface epithelium and deep adipose gland tissue of the donor area are completely preserved. The application realizes precise, minimally invasive and integrated cutting of connective tissue, simplifies the surgical operation, reduces the technical threshold, reduces the pain of patients, and improves the success rate of transplantation.

The present application relates to the biological field, and particularly to a weak acid buffer and its use in an immunopeptidome separation reagent, the weak acid buffer comprising amino acids and / or polypeptides, the mass-to-charge ratio of the amino acids and / or polypeptides being theoretically predictable and experimentally reproducible, or the mass-to-charge ratio being beyond the preset acquisition range of a mass spectrometer; the weak acid buffer further comprising a volatile acid, the volume concentration of the volatile acid being 0.01% to 10%; and the pH of the weak acid buffer being 3.0 to 3.5. The weak acid buffer of the present application has high compatibility, can maximally avoid pollution and signal interference to an analysis system, has a simple experimental procedure, and the overall operation can be completed within tens of minutes, thus having low technical threshold and high acceptability; can improve the number of immunopeptide groups identified, thus improving the efficiency of the experiment; and the reagent is cheap and easy to obtain, thus the method has low cost, is suitable for large-scale or even industrial use, has high universality, and the like.

The embodiment of the invention provides a metering automation calibrating device and system supporting multiple platforms. In one specific embodiment, the device comprises an instruction library module, a verification item library module, a document template library module and an execution module, according to the implementation mode, through the instruction library, the verification item library and the document template library, traditional code development is converted into visual configuration, the technical threshold is greatly lowered, the development period is greatly shortened, and a user can flexibly customize regulations, instruments and reports. The system execution module automatically drives the whole process from instrument control to report generation, efficiency is improved, manual errors are avoided, and accuracy and reliability of results are guaranteed. Meanwhile, the system supports diversified hardware and an operating system platform, the problems of technical dependence, safety risks and compatibility are effectively avoided, and a foundation is laid for achieving autonomous controllability of metrological verification tools.

The invention discloses a containerized application deployment and management method, device and system, and belongs to the technical field of information processing. The method comprises the steps that a containerized application deployment blueprint defined by a user in a dragging and form mode is received through a visual deployment interface; writing the structure information of the deployment blueprint into a list file; converting the list file by using an operation and maintenance tool and generating an executable container arrangement script; and based on the container arrangement script, automatically executing environment preparation, container arrangement cluster initialization and service deployment and starting processes in a target server cluster. According to the method, the complex arrangement process of high-availability container deployment is converted into visual operation, and full-amount deployment configuration and scripts are automatically generated, so that full-process automatic closed loop from architecture design to service online is realized, the deployment technical threshold and the manual error rate are remarkably reduced, and the deployment efficiency and the system reliability are improved.

The utility model provides a glass tube neck pressing device for ampoule bottle preparation, which relates to the technical field of ampoule bottle preparation, and comprises a processing table and a preparation mechanism arranged on the outer side of the end part of the processing table, the preparation mechanism comprises a neck pressing device body arranged on one side of the processing table, a heating box is arranged on one side of the neck pressing device body, a second bevel gear is driven by a motor to rotate, and a series of components such as a first bevel gear, a third bevel gear, a first rotating shaft, a rotating sleeve, a rotating plate and a first gear can be linked to work cooperatively, so that an ampoule bottle does circular motion and autorotation on the inner side of a limiting seat at the same time; by means of the efficient power transmission and multi-component matching mechanism, the rotating efficiency in the ampoule bottle machining process is greatly improved, and a good foundation is laid for follow-up machining operation.

This invention discloses a simulated indigo carmine staining method based on a recurrent adversarial generative network, comprising the following steps: inputting an endoscopic image (white light image) into a trained simulated indigo carmine staining model to generate a simulated indigo carmine staining image; the simulated indigo carmine staining model is a TransUNet backbone network based on Transformer and CNN, wherein the CNN includes a generator G. A Generator G B and discriminator D x The training method for the simulated indigo carmine staining model includes: establishing a network training set; and then generating a simulated staining image P. 3 ; simulated staining image P 3 Input discriminator D x In the middle, by discriminator D x Determine the simulated staining image P 3 Is it an endoscopic image stained image P? 2 The corresponding total loss is obtained and input into the generator G. A and generator G B The present invention provides a simulated indigo carmine staining method based on a recurrent adversarial generative network, which can simulate indigo carmine staining on endoscopic images, reducing medical costs and avoiding multiple endoscopic examinations and drug use.

The invention relates to a lightweight Ubuntu system cutting method and system oriented to an RISCV framework and supporting ROS2, and the method comprises the steps: 1, obtaining a Ubuntu original system mirror image based on the RISCV framework, installing the ROS2 in the original system mirror image, and marking a core system assembly needed by the ROS2 to be in a manual installation state; 2, cutting a software package irrelevant to ROS2 operation in the original system mirror image; 3, deploying a standard test node software package and verifying the communication function of the ROS2; if the communication is normal, executing the step 4; otherwise, returning to the step 2; 4, cutting static files which are not necessary for operation in a system directory; and 5, cutting redundant software components, cleaning system logs, and compressing the system disk content of the cut original system mirror image into a mirror image file to obtain the lightweight Ubuntu system.

This invention relates to the interdisciplinary field of hydraulic engineering and computer simulation, and particularly to a method, apparatus, equipment, and computer-readable storage medium for managing and constructing a simulation analysis model engine for pump station operation. The method includes: establishing a multi-dimensional simulation model based on the hydraulic and fluid changes during pump station operation; constructing a model engine management architecture and a simulation engine management system based on this architecture, and building a simulation model database; constructing standardized interfaces based on the simulation engine management system and different types of multi-dimensional simulation models; obtaining simulation parameters from the simulation model database through the standardized interfaces, running the corresponding multi-dimensional simulation model, and storing the output data in the simulation model database; and constructing a simulation model management system based on the simulation engine management system. By constructing standardized simulation model interfaces and a unified model engine management system, the construction process of multi-dimensional coupled simulation models for pump stations is significantly simplified.

The invention discloses a low-code component template implementation method, relates to the technical field of low-code component templates, and aims to solve the technical problems of poor component reusability and high technical threshold caused by scene abstraction and deficiency of a current low-code platform. S200, abstracting and constructing a layout template; s300, abstracting and constructing a page template; s400, abstract modeling of a component template scene is carried out; and S500, page production is carried out. Components are summarized into three core scenes including lists, forms and details, a three-level asset library of a layout template, a page template and a component template is combined with a template matching decision function, accurate retrieval, reuse and precipitation of the template are achieved, repeated development is greatly reduced, meanwhile, a front-end interaction logic function is preset, and the template matching decision function is optimized. Core processes such as data refreshing, real-time verification and state retention are covered, developers do not need to manually write interaction codes, the development period is shortened, and the technical threshold is reduced.

The invention belongs to the field of electric power communication, and discloses a cellular wireless network two-layer data frame transmission method and a related device, and the method comprises the steps: receiving and analyzing a two-layer data frame sent by an electric power business master station or an electric power business terminal, and obtaining a virtual local area network identifier and a destination media access control address of the two-layer data frame; obtaining a radio bearer identifier of the two-layer data frame based on a preset power service radio bearer configuration table according to the virtual local area network identifier of the two-layer data frame and the destination media access control address; and activating a radio bearer corresponding to the radio bearer identifier of the two-layer data frame in the cellular wireless network according to the radio bearer identifier of the two-layer data frame, and sending the two-layer data frame through the radio bearer. Pure two-layer switching based on the virtual local area network identifier and the destination media access control address is realized, the two-layer data frame does not need to be additionally packaged, and a wireless communication system-level solution which is high in reliability, low in cost and easy to deploy is provided for scenes such as power business.

This application provides an intelligent control modeling platform, method, and related equipment. In this embodiment, a data and model management module is connected to the visualization modeling and simulation verification module, and is used to provide the visualization modeling and simulation verification module with processed industrial data and callable models. The visualization modeling and simulation verification module is connected to the online optimization and deployment service module, and is used to transmit verified algorithm models to the online optimization and deployment service module. The online optimization and deployment service module receives the algorithm models from the visualization modeling and simulation verification module and deploys the algorithm models to an industrial controller for operation. It also receives real-time operating data from the industrial controller and performs parameter updates or structural optimizations on the deployed algorithm models based on the real-time operating data.

The invention discloses a MicroLED micro display device and a preparation method thereof. The preparation method comprises the following steps: providing a driving substrate and a plurality of first epitaxial wafers emitting first color light; patterning the first epitaxial wafer to form a plurality of first epitaxial partitions which are distributed at intervals and have epitaxial structures; the first epitaxial wafer is cut to form a plurality of first epitaxial sub-wafers with preset shapes, and each first epitaxial sub-wafer is provided with a plurality of first epitaxial partitions; bonding the plurality of first epitaxial sub-wafers on a driving substrate in sequence to form a first bonding wafer; and processing and forming a plurality of first light-emitting units which are provided with epitaxial structures and are separated from one another on the first bonding sheet. The wafer reconstruction technology is adopted, a large-size driving substrate does not need to be cut, small-size monochromatic epitaxial wafers are processed into epitaxial sub-wafers, then the epitaxial sub-wafers are bonded to the driving substrate one by one, the epitaxial sub-wafers are fully paved to the maximum extent, invalid waste of driving substrate materials is avoided, and the auxiliary material cost and the overall production cost are remarkably reduced.

The present application belongs to the field of security and privacy technology, and particularly relates to a vehicle privacy technology detection method and system based on a shielding tent. A signal isolation environment is constructed in an electromagnetic shielding tent; a noise baseline model is established through frequency spectrum analysis; wireless terminal equipment detection is performed through a full-standard terminal analyzer; a non-linear node detector, an infrared thermal imager, a near-field signal detector, a backscatter X-ray machine, and an endoscope are used to perform regional collaborative scanning; combined with big data and machine learning algorithms, an over-standard signal source is located, and if a suspicious device is found, it is disposed in accordance with the rules and evidence is collected. The present application solves the problems of low standardization, high false alarm rate, low implementation efficiency, and low detection comprehensiveness of vehicle privacy technology detection in an open environment. It is suitable for detection of eavesdropping, peeping, and positioning devices of classified vehicles.

The invention provides a data query method and device, and relates to the field of data processing, in particular to the field of artificial intelligence. According to the specific implementation scheme, a data query request input by a user is obtained, and a user identifier corresponding to the user is obtained; calling a first large model based on the main agent to perform intention recognition according to the data query request and the user identifier to obtain a request intention; based on the intention type of the request intention, a target sub-agent is determined from the candidate sub-agents, a second large model is called based on the target sub-agent to generate a standardized query statement according to the request intention, and the standardized query statement comprises a to-be-queried parameter and a target query link corresponding to the to-be-queried parameter; executing the standardized query statement through the target query link to obtain first target data matched with the request intention; and generating a visual panel based on the first target data, and displaying the visual panel.

The present application provides a kind of ghost imaging monitoring method and system based on environmental coupling simulation and image enhancement, the method comprises: setting initial light source, the initial light source is handled with splitter matrix model to obtain probe light path light source and reference light path light source, based on the probe light path light source and reference light path light source, respectively construct probe light path and reference light path;In probe light path, lens, object to be measured and bucket detector are set in sequence, and surface detector is set in reference light path, high gauss blur is introduced in probe light path to simulate heavy fog environment, and random phase screen based on Perlin noise is introduced to simulate turbulent environment.The present application builds ghost imaging system through Python, uses Gaussian simulation to simulate heavy fog environment and turbulent environment, and combines the concept of histogram equalization in digital image processing, the imaging quality of ghost imaging is optimized by non-linear mapping gray scale chart, and the imaging quality of ghost imaging system under long-distance condition can be improved.

This utility model belongs to the field of building intelligence technology and discloses a modular building gateway device supporting multi-protocol intelligent conversion. The device includes a core board module, an RS485 interface module, an Ethernet interface module, a USB interface module, and a power supply module. The RS485 interface module, Ethernet interface module, USB interface module, and power supply module are connected to the core board module. This utility model solves the technical bottlenecks of existing building gateways in terms of multi-protocol compatibility, configuration efficiency, and real-time performance. It breaks through protocol barriers and eliminates protocol obstacles for interconnecting heterogeneous devices; improves configuration and maintenance efficiency; adopts a multi-level isolation design to ensure communication stability in complex electromagnetic environments; and controls the conversion latency to within 50ms through hardware-accelerated protocol conversion, meeting real-time control requirements.

The application relates to a multi-center applicable human brain magnetic resonance image brain structure automatic segmentation method, and the segmentation method specifically comprises the following steps: acquiring MRI data of different platforms, and performing N4 bias field correction and image standardization processing on the MRI data; taking U-Net as a basic framework, fusing a self-attention mechanism module, and constructing an MRI brain image structure segmentation network model suitable for multiple platforms; inputting the processed MRI data into the segmentation network model, training the segmentation network model by using transfer learning and domain adaptation technology, estimating the uncertainty of the output result, and further training the model by using high-quality unlabeled data screened out, so that the human brain magnetic resonance image brain structure automatic segmentation is realized. Compared with the prior art, the application can accurately and quickly segment the brain structure of different magnetic resonance imaging platforms, provides a more universal, efficient and reliable tool for the field of brain image analysis, and helps more extensive application and research exploration.

The invention discloses a proportional servo valve intelligent diagnosis method based on multi-modal feature fusion, and the method comprises the steps: collecting a multi-modal time domain signal through a plurality of sensors according to the superposition and hidden characteristics of a fault of a proportional servo valve; the time domain signal is converted into a GASF / GADF image through GAF transformation, and time-frequency coupling features are enhanced; constructing a time domain feature extraction branch and an image feature extraction branch to realize double-domain feature complementation; designing a cross-dimensional attention fusion-multi-modal weighted fusion layering strategy, generating multi-dimensional fusion features, and inputting the multi-dimensional fusion features into a classifier to complete 16 types of working condition recognition; and finally, retrieving the hidden fault knowledge base, and outputting fault location, risk levels and a stepped maintenance method. Weak fault signals with the amplitude smaller than 5% can be captured, the average recognition precision of 16 kinds of working conditions reaches 97.5% or above, the anti-interference capacity is high, diagnosis-maintenance integration is achieved, and the method is suitable for operation and maintenance of hydraulic systems in the fields of engineering machinery, aerospace and the like.