225results about How to "Clear structure" patented technology

The invention discloses a rare-earth metal arylamine group compound as well as preparation method and application thereof. The invention discloses the rare-earth metal arylamine group compound which is characterized in that a general formula of the rare-earth metal arylamine group compound is (2,6-R12PhNH)5LnLi2(THF)2, wherein Ln is a rear-earth metal selected from one of neodymium, samarium, ytterbium or yttrium; R1 is selected from one of hydrogen, methyl or isopropyl. The rare-earth metal arylamine group compound has the advantages that the rare-earth metal arylamine group compound has a definite structure; raw materials used in the preparation method are simple, easily obtained and cheap; the reaction process is simple and easily operated; the rare-earth metal arylamine group compound product is conveniently purified and the yield of the product is high; the rare-earth metal arylamine group compound has a high activity when acting as a single component catalyst to catalyze a hydrogen phosphine reaction of aldehyde or ketone and phosphite ester; the use amount of the catalyst is less; the yield is high; a substrate has wide universality; a new and simple method is provided for synthesis of a-hydroxyphosphonate.

The invention discloses an image fusion method based on a double-branch feature decoupling auto-encoder, and belongs to the field of computer vision and image processing. According to the method, for the problems of modal pollution and structural distortion in infrared and visible light image fusion, structural semantic information and high-frequency texture details of a source image are extracted respectively by constructing a content feature coding module and a detail feature coding module, and feature decoupling is achieved. And performing deep fusion on the decoupled features by using an adaptive feature weighting mechanism, and reconstructing a fused image with infrared target saliency and visible light detail definition through a shared decoder. According to the method, an end-to-end two-stage training strategy is adopted for optimization, complex prior or post-processing is not needed, the effects of improving the fused image contrast, edge preservation and target recognition performance are remarkable, and the method is suitable for the fields of weak light monitoring, intelligent perception, unmanned system navigation and the like.

The invention relates to the technical field of time-triggered network communication, in particular to a time-triggered Ethernet scheduling generation and synchronization system based on a hardware time axis construction engine. According to the system, a time axis structure consistent with global synchronization time is constructed on a switch side through hardware, sending time and a sending sequence of a time trigger frame configured by a user are directly mapped into a resource occupation relation on a time axis, and scheduling window mapping, conflict detection and window shaping are completed on a hardware level; therefore, a deterministic scheduling table is generated; through a double-table storage and time alignment switching mechanism, undisturbed updating and synchronous effectiveness of the dispatch table between the switch and the end system are realized. Compared with a traditional scheme of generating a scheduling table depending on a software algorithm, the method does not need a complex scheduling solution process, supports manual controllable configuration of time-triggered frame scheduling, and improves the certainty, autonomy and engineering realizability of the system.

The application provides a wind tunnel pressure regulating valve opening set fault diagnosis method based on a composite criterion, relates to the technical field of equipment fault diagnosis, and comprises the following steps: training a fault diagnosis model by using seen fault sample, extracting sample features by using an encoder, and obtaining classification information and reconstruction information of the sample by using a classifier and a decoder; then, according to the output result of the model on training data, a composite criterion is constructed in a feature space, a probability space and a sample space, and is used for identifying unknown faults; finally, when a new fault sample is input, the composite criterion is used to judge the sample, accurate diagnosis of known faults and effective identification of unknown faults are realized. The composite criterion method has a clear structure, a simple implementation process, can be extended on the basis of an existing fault diagnosis model, and has good engineering application value.

The invention relates to the technical field of smart tourism, in particular to a personalized scenic spot content generation method, system and device based on a multi-modal knowledge graph and a medium, and the method comprises the steps: collecting multi-modal data of a scenic spot, and constructing a structured multi-modal scenic spot knowledge graph based on the multi-modal data; obtaining personalized data provided by the tourist, and constructing a personalized portrait of the tourist based on the personalized data; in response to an operation of acquiring an image in a scenic spot, identifying the scenery in the image, and extracting a corresponding initial knowledge subset from the multi-modal scenic spot knowledge graph according to an identification result; performing personalized screening and expansion on the knowledge nodes in the initial knowledge subset by calculating the matching degree between the knowledge nodes in the initial knowledge subset and the tourist interest in the personalized portrait of the tourist, and dynamically binding multi-modal resources to generate a personalized knowledge graph; and presenting the personalized knowledge graph. According to the invention, the multi-mode scenic spot knowledge experience of which the structure is matched with the interest and the knowledge background can be provided for tourists.

This application relates to the field of organosilicon polymer materials, specifically disclosing a method for preparing and applying a functionalized MQ silicone resin. A method for preparing a functionalized MQ silicone resin includes the following steps: (1) raw material pretreatment; (2) simultaneous addition reaction: mixing and reacting a hydrogen-containing MQ silicone resin, a terminal olefin monomer containing a benzocyclobutene functional group, and a terminal olefin monomer containing a C-F bond; (3) post-treatment to obtain the functionalized MQ silicone resin; wherein the molar ratio of Si-H bonds in the hydrogen-containing MQ silicone resin, C=C bonds in the terminal olefin monomer containing a benzocyclobutene functional group, and C=C bonds in the terminal olefin monomer containing a C-F bond is 1:(0.2-0.6):(0.1-0.4). This application enables the synergistic effect of the rigid benzocyclobutene group and the fluorinated flexible segment, one-step grafting, and structural controllability, ultimately preparing a functionalized MQ silicone resin with excellent dielectric properties, high temperature resistance, low-temperature flexibility, good hydrophobicity, and excellent mechanical strength.

The invention discloses an integrated intelligent monitoring system and a hierarchical isolation method and equipment based on a security domain, and relates to the technical field of industrial automation system integration, the method comprises a centralized data bus, a modular function service and a service interface, the centralized data bus is used for receiving original real-time data acquired from bottom equipment; the modularized function service is used for designing each function service of the discrete manufacturing workshop into a mutually independent and pluggable module form, and each function service subscribes to required data from the centralized data bus; and the service interface is used for publishing the generated new service data back to the centralized data bus after the function service consumes the subscription data, so that other function services can subscribe and consume. According to the invention, the problems of architecture chaos, data islands and security risks in multi-subsystem integration can be effectively solved.

The invention relates to the technical field of oxygen reduction catalysts, in particular to a transition metal-based triatomic oxygen reduction catalyst and a preparation method and application thereof. The invention relates to a preparation method of a transition metal-based triatomic oxygen reduction catalyst. The preparation method comprises the following steps: dispersing carbon nanotubes in a solvent to obtain a dispersion liquid; adding transition metal acetate, urea and 4, 4 '-dihydroxy [1, 1'-biphenyl]-3, 3 ', 5, 5'-tetracarboxaldehyde into the dispersion liquid, performing ultrasonic treatment to obtain mixed liquid, and then performing heating reaction in an inert atmosphere; and after the reaction is finished, naturally cooling to room temperature, filtering, washing and drying to obtain the transition metal-based triatomic oxygen reduction catalyst. The catalyst designed by the invention not only has an efficient catalytic active site, but also remarkably improves the material transmission efficiency and enhances the utilization rate of a catalytic active center by optimizing the structure of a composite material, so that the synergistic enhancement of the electro-catalytic performance is realized.

The utility model relates to the technical field of passage control equipment, and disclose a vertical non -inductive passage device, including box, identification subassembly, gate and buried part: the lower surface of box and the upper surface of buried part are pasted, the lower surface middle position of box is installed with male block through bolt, is set up in the insertion slot on buried part, the both sides of insertion slot all are set up with lateral groove. This kind of vertical non -inductive passage device, through setting the positioning post on the lower surface of the box, the positioning slot is correspondingly set up on the buried part, the quick accurate positioning of the box and the buried part can be realized by the plug-in cooperation, and the installation process is greatly simplified. At the same time, after the male block of the box bottom inserts the insertion slot of the buried part, the spring in the lateral groove pushes the convex side of the limiting block and the male block to closely adhere, forms effective limiting, and the guiding effect of connecting rod no.

The application discloses a kind of CNC machine tool tool wear monitoring method and system based on acoustic vibration sensing technology, which comprises: obtaining tool number, processing state from machine tool;Cutting vibration signals in the machining process of machine tool are collected by acoustic vibration sensor;The cutting vibration signals are preprocessed, time domain characteristic indexes and frequency domain characteristic indexes are extracted, and a comprehensive wear coefficient is calculated;According to the interval where the comprehensive wear coefficient is located, the state of the tool is judged;If the tool reaches the failure level, a prompt signal is sent out.The method is suitable for detecting common tool failure states and can be used in machine tools with different tool tooth numbers, different speeds and different machining processes.These indicators can be effectively used to evaluate tool wear in actual manufacturing processes, and play a crucial role in improving production capacity and promoting high-quality production.

This application discloses a multi-source fusion log compression method and apparatus for anomaly detection, belonging to the field of anomaly detection technology. The multi-source fusion log compression method for anomaly detection includes: generating an audit origination graph corresponding to the system audit log, an application origination graph corresponding to the application log, and a domain name origination graph corresponding to the domain name system log based on the system audit log corresponding to the electronic device, the application log corresponding to the target application in the electronic device, and the domain name system log corresponding to the electronic device; fusing the domain name origination graph into the application origination graph based on the domain name nodes in the application origination graph to obtain a sub-fused origination graph; fusing the audit origination graph into the sub-fused origination graph based on the event nodes in the audit origination graph to obtain a fused origination graph; and performing anomaly detection based on the fused origination graph. The multi-source fusion log compression method for anomaly detection in this application can alleviate the problems of semantic gap and dependency explosion.

The application relates to the technical field of communication, and discloses an Internet of Things multi-protocol compatible communication system and a device identity dynamic authentication method. The method comprises the following steps: converting original data of different protocols into a unified internal message format through a protocol adaptation layer; mapping into a logical identity identifier by an identity abstraction layer; generating a 300-second valid session-level temporary credential based on a challenge-response mechanism by a dynamic authentication engine; continuously evaluating the credibility of a device by a Gaussian mixture model by a device behavior analysis unit; and dynamically adjusting access permissions and bandwidth quotas by a security policy execution unit. The system comprises a protocol adaptation layer, an identity abstraction layer, a dynamic authentication engine, a device behavior analysis unit and a security policy execution unit. The application realizes cross-protocol unified authentication, dynamic key update and continuous trust evaluation, and significantly improves the security and manageability of an Internet of Things system.

The invention provides a manufacturing decision system-oriented modular functional architecture and a collaborative mechanism thereof, and the structural organization and reusable collaboration of a manufacturing decision process are realized by constructing a multi-layer capability system, a functional module system and a standardized behavior interface. The architecture comprises a data interface module, a decision-making target module, a disturbance response module and a fusion decision-making module, and defines a data flow, a control flow and a trigger relationship among the modules. The system completes target expression, constraint analysis, disturbance identification and collaborative decision generation through standardized access of multi-source data such as orders, productivity, materials and processes, and forms an interpretable and executable decision link. According to the invention, modularization, interpretability and intelligent cooperation of the manufacturing decision-making system are realized, and multi-scene and multi-industry manufacturing decision-making application is supported.

The purpose of the present invention is to provide a technique with which it is possible to improve the accuracy of gas flow measurement by an accumulation method. Therefore, this vacuum processing apparatus is provided with: a processing chamber capable of decompressing the inside thereof; a first flow rate control unit that controls the flow rate of the first process gas and supplies the first process gas to the process chamber; a second flow rate control unit that controls the flow rate of the second process gas and supplies the second process gas to the process chamber; a pressure measurement unit that measures the internal pressure of the processing chamber; and an index calculation unit that calculates an index based on a pressure measurement unit output, which is an output from the pressure measurement unit. The index calculation unit calculates a relative index based on the ratio of first pressure information, which is output by the pressure measurement unit when the first process gas is supplied to the process chamber, and second pressure information, which is output by the pressure measurement unit when the second process gas is supplied to the process chamber, and changes the setting of the first flow rate control unit and / or the second flow rate control unit on the basis of the relative index. Or, whether the first flow rate control unit and / or the second flow rate control unit needs to be replaced is presented.

The application discloses a preparation method of a metal catalyst material and application of the metal catalyst material in controllable degradation of polysaccharides, and the preparation comprises the following steps: mixing and reacting a ligand material with a metal ion solution, solid-liquid separation, washing, and drying; grinding the dried solid into powder, and then high-temperature calcining to obtain a metal monatomic catalyst, namely the metal catalyst material; or uniformly mixing and grinding the obtained metal monatomic catalyst with a metal organic framework material, and then high-temperature calcining to obtain a composite metal catalyst material. The metal catalyst material prepared by the application can make up for the limitations of Fenton oxidation principle in degrading polysaccharides, such as large iron consumption, strong pollution, and difficult control, and can avoid the adverse effects caused by the corrosiveness of hydrogen peroxide in actual production and operation. Different molecular weight polysaccharides can be obtained by adjusting the proportion and dosage of the metal catalyst material, the method can prepare polysaccharides with different molecular weights, and the prepared polysaccharides have good uniformity.

The invention provides a battery power consumption lightweight analysis device, a lightweight log generation device, a battery power consumption lightweight analysis method, a lightweight log generation method, electronic equipment and a computer program product. The battery power consumption lightweight analysis device comprises: a system configuration analysis module for analyzing a system configuration file of a target electronic device to obtain system attribute feature data; the battery statistical data acquisition and analysis module acquires a battery statistical data packet and analyzes the battery statistical data packet to determine battery characteristic data; the lightweight log generation module carries out packaging processing on the system attribute characteristic data and the battery characteristic data to generate a lightweight log file; the log data reading and analyzing module reads the lightweight log file and analyzes the lightweight log file to extract attribute feature data and battery feature data; and the battery power consumption analysis module is used for analyzing the battery power consumption of the target electronic equipment according to the attribute characteristic data and the battery characteristic data to generate a power consumption analysis result.

The application provides a ship-vehicle-person virtual image establishment method and system, which comprises the following steps: obtaining ship, personnel and vehicle data as source data for preprocessing, calculating and mining labels according to the preprocessed source data, and producing ship, personnel and vehicle labels; defining hierarchical labels; defining group labels; extracting basic attributes of the ship, personnel and vehicle; defining personalized labels, adding personalized labels to the ship, personnel and vehicle according to their basic attributes and respective source data; defining correlation relationship labels among the ship, personnel and vehicle; creating a label table in a database, adding the calculated labels into the label table, and then performing correlation analysis on the respective source data of the ship, personnel and vehicle and the label table according to business requirements to obtain index data; and providing the index data to a ship-vehicle-person virtual image system for drawing charts. The application can improve traffic operation efficiency, safety and risk prediction.

A semiconductor device is comprising: a substrate on which a semiconductor chip is mounted; and a thermal interface material disposed on a second main surface of the substrate opposite to the surface on which the semiconductor chip is mounted, wherein the material undergoes a phase transition at a phase transition temperature, causing a change in its elastic modulus. The substrate has a convex warping on the second main surface, and the phase transition temperature of the thermal interface material is 40°C or higher and 100°C or lower.

This invention provides an automatic identification method for sandstone and conglomerate based on imaging logging and combined logging data, comprising: Step 1, preprocessing imaging logging data; Step 2, constructing sandstone and conglomerate lithology sample data; Step 3, constructing an automatic identification network structure for sandstone and conglomerate based on deep learning-based imaging logging and combined logging data; Step 4, training and validating the automatic identification network for sandstone and conglomerate based on deep learning-based imaging logging and combined logging data; Step 5, conducting application tests of the automatic identification method for sandstone and conglomerate based on deep learning-based imaging logging and combined logging data. This automatic identification method for sandstone and conglomerate based on imaging logging and combined logging data takes one-dimensional logging data and two-dimensional imaging logging data as input, and utilizes the constructed combined identification network model to effectively fuse multi-dimensional logging data, achieving high-precision automatic identification of sandstone and conglomerate lithofacies and lithology.

An electronic control device (100) includes a non-conductive resin case (7), a circuit board (5), a metal case (6), a waterproof sealing material (9), and an adhesive (1) having conductivity. The circuit board (5) has a circuit ground (GND pattern (4)) and is held on the resin case (7). The metal case (6) covers the circuit board (5) and is mounted on the resin case (7). The waterproof sealing material (9) seals the resin case (7) and the metal case (6) and performs waterproofing. The adhesive (1) having conductivity is in contact with the metal case (6) and the circuit ground, and electrically connects the metal case (6) and the circuit ground at multiple sites.

This utility model discloses a piezoelectric ceramic air pump drive circuit, belonging to the technical field of piezoelectric ceramic air pump control. The circuit includes a main control processing unit, a program download unit, a low-dropout voltage regulator unit, an H-bridge piezoelectric ceramic air pump drive unit, and a DC-DC boost unit. The input terminals of the low-dropout voltage regulator unit and the DC-DC boost unit are connected to an external power supply, providing a stable low-voltage operating power supply to the main control processing unit and a high-voltage power supply to the H-bridge piezoelectric ceramic air pump drive unit. The H-bridge piezoelectric ceramic air pump drive unit uses complementary metal-oxide-semiconductor field-effect transistors to construct a full-bridge topology. The main control processing unit outputs complementary pulse width modulation signals to control the switching of the transistors in the H-bridge, generating a high-voltage alternating drive signal at the interface connecting to the air pump. This utility model features high integration, flexible control, and high drive efficiency, making it suitable for piezoelectric ceramic air pump applications requiring high-voltage, high-frequency drive.

The utility model discloses a direct current charging pile charging conversion device of electric automobile charging pile device technical field, include: bottom plate, panel, backboard, joist, upper crossbeam, side stand, back support, insulating support, negative pole copper bar, positive pole copper bar, alternating current A phase copper bar, alternating current B phase copper bar and alternating current C phase copper bar. The direct current charging pile charging conversion device provided by the utility model can realize the upper alternating current copper bar input and the lower direct current copper bar output of the back portion of the direct current charging pile charging conversion device, and the structure is clear, the wire arrangement is beautiful and neat, the production manufacturing cost is greatly reduced, and the assembly efficiency is improved.

The application discloses a kind of based on double filtering cooperation's remote sensing image scene classification method and system, in the method, for the problem that existing technology is difficult to give consideration to background noise suppression and key feature edge structure preservation when processing remote sensing image, a kind of double filtering cooperation optimization module is presented.The module in this paper introduces Gaussian filter smoothing channel to suppress unstructured high-frequency background noise, while introducing Gaussian Laplace edge enhancement channel to accurately capture and strengthen key geometric structure information such as feature contour;Through feature fusion, position coding, state space model and double activation gating mechanism, the multi-scale feature map is optimized and reconstructed to generate high signal-to-noise ratio and clear structure scene representation.The module is integrated into the remote sensing image scene classification model, and trained using focal loss, which can significantly improve the classification accuracy and robustness in complex texture interference scene.

This invention relates to the field of smart home appliance technology, specifically to a smart air conditioning control system and method based on a 24GHz millimeter-wave radar. The system includes a 24GHz millimeter-wave radar sensor module integrated into the air conditioner, a signal processing and data analysis module, a main control unit module, an air conditioning execution module, and a feedback module. The method includes: transmitting an FMCW signal via radar and receiving the echo; processing the echo signal to extract distance, speed, and azimuth information of a dynamic human body, and identifying a static human body based on micro-Doppler spectrum analysis; constructing a state model based on this information, including the presence, location, and activity intensity of the person; and generating and executing precise airflow, mode adaptation, and energy-saving control strategies based on this model. This invention solves the problems of traditional sensors being unable to detect stationary human bodies and lacking spatial perception capabilities, achieving all-weather, high-precision, and privacy-protecting proactive intelligent control, significantly improving comfort and energy efficiency.

The application discloses an electrochemical granulation electrode deintercalation lithium extraction membrane stack electrolysis equipment, which comprises an electrolysis tank and an electrode assembly; the electrolysis tank comprises a first side plate, a piece of side plate rubber pad, a plurality of tank bodies, another piece of side plate rubber pad, a second side plate and a first tank body rubber pad, an anion membrane and a second tank body rubber pad arranged in sequence between two adjacent tank bodies; the tank bodies are divided into anode tanks and cathode tanks, the anode tanks and the cathode tanks are arranged alternately in an X direction from the first side plate to the second side plate, and the number of the anode tanks is equal to that of the cathode tanks; and an elastic porous pad is laid on the inner cavity bottom wall of the tank body. The electrolysis equipment can realize efficient extraction of lithium resources in salt lake brine, has the advantages of high lithium recovery rate and current efficiency, and is convenient to install, maintain and observe and monitor in the lithium extraction process.

This utility model discloses a safety control mechanism for the pilot oil and main oil circuit of a servo valve, relating to the field of hydraulic control technology. It includes a pilot oil control module, a main oil circuit control module, and a monitoring and feedback module. The pilot oil control module includes a pilot oil flow sensor and a pilot oil pressure regulating valve. The pilot oil flow sensor is used to monitor the flow rate of the pilot oil in real time. The main oil circuit control module includes a main oil circuit solenoid directional valve, a main oil circuit relief valve, and a main oil circuit pressure sensor. Through the coordinated operation of the pilot oil flow sensor and the pilot oil pressure regulating valve, the pressure and flow rate of the pilot oil are monitored and dynamically adjusted in real time, providing precise control signals to the servo valve. This solves the problem of deviations in servo valve action caused by control signal fluctuations in traditional mechanisms, making the control of servo valve spool displacement and other aspects more precise. The main oil circuit pressure sensor is installed close to the servo valve, enabling timely capture of pressure changes and rapid directional switching in conjunction with the main oil circuit solenoid directional valve.

The present application relates to a kind of glDrawBuffer-based one-to-many fragment mapping method and system in graphics processor.The method of the present application comprises the following steps:1) identifying the buffer of glDrawBuffer configuration;2) the write order of buffer is sorted, and buffer index is generated;3) according to the order determined, fragment is mapped into different buffer in turn, and fragment output process is realized using control state machine, received tile is sent multiple times, and different buffer index information is carried each time.The present application has the advantages of fast fragment processing speed, conducive to circuit timing implementation, clear circuit structure and improved multi-buffer drawing scene processing speed.

The present invention is provided with: a first temperature raising device provided on a rolling line between a continuous casting machine (12) and a roughing mill (70); a second temperature raising device provided on a temperature raising line different from the rolling line; a first slab conveying device (40) configured so as to be capable of moving the slab (100) between the exit side of the slab (100) on the rolling line of the first heating device and the entry side of the slab (100) on the heating line of the second heating device; and a second slab conveyance device (42) configured so as to be able to move the slab (100) between the entry side of the slab (100) on the rolling line of the first temperature raising device and the exit side of the slab (100) on the temperature raising line of the second temperature raising device, the first temperature raising device having a first induction heating slab heater (20), and the second temperature raising device having a second induction heating slab heater (22). As a result, provided are: a temperature raising device capable of improving the temperature raising efficiency before a casting blank is conveyed to a roughing mill than in the prior art; a rolling facility provided with the temperature raising device; and a method for raising the temperature of the casting blank.

The invention relates to a scene-oriented multispectral and infrared bimodal camouflage figure decision-making system, and belongs to the technical field of multisource information perception and intelligent decision-making. The system comprises an unmanned aerial vehicle carrying platform, a bimodal imaging unit, a data processing and communication unit and a ground calculation and decision unit. The bimodal imaging unit synchronously acquires a target area image through an infrared camera and a spectrum camera; the data processing unit preprocesses and transmits the image; the ground calculation and decision-making unit comprises a data set construction module, a bimodal target detection module, an image registration module, a self-adaptive decision-making module and a decision-making fusion module. The system calculates a homography matrix based on the flight height to realize image registration, adaptively selects a decision path according to a light intensity parameter, and outputs a detection result through intersection-to-union ratio matching and weighted fusion. Through a system-level architecture and a formulation decision-making mechanism, the accuracy and robustness of camouflage figure detection in a complex environment are improved, and the method is suitable for unmanned aerial vehicle platform deployment.

This invention relates to the field of physical oceanography, specifically to a method for rapidly identifying the upper and lower boundaries of the ocean thermocline. The method utilizes trigonometric functions as basis functions to construct a 10th-order trigonometric polynomial, and obtains the fitting parameters and results using the least squares method. Then, the first derivative of the trigonometric polynomial is calculated. The maximum value and its location, as well as all minimum values ​​and their locations, are determined. From the location of the maximum value, the two locations of the first minimum values ​​less than 1 / 10 of the maximum value are found on both sides. This yields the upper and lower boundaries of the ocean thermocline depth. This invention eliminates the subjectivity of parameter selection by eliminating the need for manually setting thresholds; it also avoids complex transformation and construction processes, resulting in a clear algorithm structure and high computational efficiency. It can operate stably in different sea areas and under various data precision conditions, significantly improving the automation, robustness, and computational efficiency of thermocline identification.