42results about How to "Easy to optimize" patented technology

This invention provides a coal tar pitch-based nickel catalyst, its preparation method, and its application, belonging to the field of solid waste resource recycling and synthetic carbon materials technology. This invention uses a mixed roasting method to prepare a coal tar pitch-based nickel catalyst with micropores and mesopores from the residual coal tar pitch after coal tar extraction. The synergistic effect of active nickel as an active site and the functional groups on the support surface significantly improves its catalytic liquefaction performance, exhibiting the advantages of "low cost, high temperature resistance, and strong adaptability." The preparation method provided by this invention not only offers an effective way for the high-value recycling of coal tar pitch but also provides a low-cost material for green conversion, environmental governance, catalysis, and other fields. It represents a green resource utilization strategy with significant economic and environmental benefits and broad commercial prospects.

This invention provides a vehicle simulation speed correction method and system, relating to the field of vehicle intelligent dynamics modeling technology. The correction method includes the following steps: S1: Input and process simulation data output from the vehicle dynamics simulation model and corresponding real vehicle test data; S2: Construct a dynamic graph structure representing the interaction between state variables based on a preset physical coupling relationship of the vehicle powertrain; S3: Input the simulation data into a GCN and perform graph convolution operations under the constraints of the dynamic graph structure to extract graph embedding feature sequences representing the spatial dependencies between state variables; S4: Input the graph embedding feature sequences into a TCN and perform temporal convolution operations to learn the dynamic evolution law of state variables in the time dimension and output the correction amount of the vehicle simulation speed; S5: Output the result. Based on this, this invention solves the problem that existing correction methods have various limitations in practical applications.

The invention relates to the technical field of electric power inspection and maintenance robot control, and discloses a power transmission line crawling robot lifting self-adaptive shake suppression control method and system. The method comprises the following steps: acquiring three-axis acceleration and three-axis angular velocity data of a robot platform, calculating a yaw angle and an angular velocity of the robot platform relative to a vertical balance position, and constructing an evaluation index representing the shaking strength of the platform; according to the shake strength evaluation index, driving parameters of a lifting motor are dynamically adjusted through a nonlinear mapping relation; and the swing period and phase of the robot platform are monitored, and when the platform swings to a specific phase point, an instantaneous driving pulse is applied to a lifting motor to consume swing energy. By means of the method, the maximum swing angle of the robot platform can be reduced by 60% or above, the static time after the robot platform reaches the target position is shortened by 70% or above, and the working efficiency is remarkably improved.

This application discloses a method, apparatus, equipment, and medium for flutter analysis of UAV wings during the design phase, relating to the field of aircraft design. The method includes: generating a first component by calling a corresponding structural component simulation model from a finite element structure module library based on the shape parameters of the wing to be analyzed; constructing a skin finite element mesh model based on the first component; determining the installation position of a second component at the node positions of the skin finite element mesh model; generating the second component by calling a corresponding structural component simulation model from the finite element structure module library; installing the second component at the corresponding node positions of the skin finite element mesh model based on the installation position to obtain a target wing model; performing aerodynamic modeling using the skin finite element mesh model to obtain a flutter calculation file; performing flutter analysis based on the flutter calculation file and the target wing model; and optimizing the wing to be analyzed that has a flutter risk based on the flutter analysis results. This application shortens the UAV design cycle.

This invention belongs to the field of integrated mask circuit generation technology, and provides a method and platform for generating and detecting integrated mask circuits. The method involves obtaining an S-box configuration file, parsing it, extracting the S-box, generating hardware circuits from the extracted S-box, and obtaining an S-box file. A test environment is constructed based on the S-box file, and corresponding test stimulus files are generated. Behavioral-level simulation is performed in the test environment, and simulation logs are recorded. The simulation logs are parsed to determine whether the S-box design is functionally correct. The RTL-level design of the S-box file is converted into a gate-level netlist based on the target technology library, generating a netlist file and an area report. Timing verification and power estimation are performed under preset timing and load constraints, generating timing and power reports respectively. Multiple reports are synthesized, key performance indicators are extracted, structured, and a comprehensive evaluation report is generated. This invention can improve the design efficiency, reliability, and overall performance of mask circuits.

This invention discloses a process and apparatus for the continuous fluorination preparation of 2,6-dichlorobenzonitrile under mild conditions. The apparatus includes sequentially connected units for 2,6-dichlorobenzonitrile preparation, raw material preparation, online dehydration, continuous metering feeding, continuous reaction, and post-treatment, with a supporting control system for precise parameter control. The process first involves the continuous preparation and purification of 2,6-dichlorobenzonitrile at 70–90℃ and 0.1–0.3 MPa. Then, a raw material solution and a fluorination suspension are prepared and deeply dehydrated. Subsequently, a continuous fluorination reaction is carried out at 80–150℃ and 0.1–1.0 MPa. Finally, the finished product is obtained through post-treatment. This invention achieves continuous production throughout the entire process, with mild reaction conditions, a solvent recovery rate ≥95%, a finished product purity ≥99.8%, high production efficiency, low cost, wide equipment adaptability, and easy industrialization.

This invention provides a method and system for detecting knee meniscus injuries by integrating multi-sequence and contrastive learning, comprising: acquiring multi-sequence MRI training images and images to be detected of the knee joint; performing preprocessing and registration; inputting the preprocessed multi-sequence MRI training images into a feature encoding network based on contrastive learning for feature learning to obtain pre-training weights and optimize parameters; constructing a multi-sequence fusion detection model and loading the pre-training weights; optimizing the parameters of the multi-sequence fusion detection model using labeled data and a detection loss function; inputting the knee joint multi-sequence MRI images to be detected into the optimized multi-sequence fusion detection model to obtain the localization and classification results of the injury. The beneficial effects of this invention are: addressing the core challenges in knee meniscus injury detection, such as the scarcity of high-quality labeled data, insufficient utilization of multi-sequence information, and difficulty in detecting subtle injuries, this invention proposes a systematic solution.

This invention discloses a polyvinylidene fluoride (PVDF) resin, its preparation method, and its application. The preparation method includes the following steps: (1) preparing PVDF resin emulsion particles by emulsion polymerization of PVDF monomer; (2) adding a reducing agent and a fluorinated solvent to the obtained PVDF resin emulsion particles; (3) adding PVDF monomer, a dispersant, and an oil-soluble initiator to the emulsion obtained in step (2), and then heating to carry out a suspension polymerization reaction; (4) separating the product after the suspension polymerization is completed to obtain the PVDF resin. The PVDF resin of this invention has high flexibility, high product purity, and high adhesion.

This invention provides the application of polyferric sulfate in improving plant salt stress resistance and / or improving saline-alkali land, belonging to the field of agricultural technology. The polyferric sulfate application provided by this invention can effectively improve the germination ability of plant seeds under salt stress, effectively enhance the activity of plant antioxidant systems and photosynthetic efficiency, thereby effectively improving the survival rate and growth performance of plants under salt stress. Simultaneously, polyferric sulfate can effectively reduce the EC value of saline-alkali soil, thereby effectively improving the germination rate of plant seeds in saline-alkali land and effectively improving saline-alkali land. This invention is simple to operate, low in cost, and environmentally friendly, suitable for enhancing the salt and alkali tolerance of plants, and has broad application prospects.

The present application relates to a kind of port unmanned truck intersection cooperative traffic method, system and medium, the method comprises: L1.unmanned truck vehicle sequence executes port operation task, through intersection, based on intersection road testing equipment, vehicle arrival intersection time series data information and the number data information of vehicle are acquired in real time, and according to vehicle number data information, the task trajectory data information of vehicle is obtained;L2.based on the vehicle arrival intersection time series data information and the number data information of vehicle, with the number data information of vehicle as the basis, time series priority algorithm is used to preliminary optimization vehicle traffic sequence.The present application not only determines the traffic priority of all trucks at the intersection to be passed in advance, lets part of the trucks wait, part of the trucks go first, but also can avoid the deadlock problem caused by multiple vehicles entering the intersection at the same time, improve the traffic efficiency, and further improve the work efficiency, save labor cost.

This utility model discloses a four-stage combined folding boom for erecting an arch. A rotary support plate has a rotary table, on which a telescopic folding assembly is rotatably mounted. The telescopic folding assembly includes a folding arm, a connecting rod combined arm, a triangular support platform, and a telescopic combined arm. The folding arm is rotatably mounted on the rotary table, with a connecting rod combined arm at its upper end. A triangular support platform is located at the upper end of the connecting rod combined arm, and the telescopic combined arm is driven onto the triangular support platform. The front end of the telescopic combined arm is connected to a boom head luffing platform, which has a rotating swing gripper at its front end. This utility model, through the forward and backward translation of the connecting rod combined arm, ensures that the telescopic combined arm's gripping range on the arch is expanded, improving gripping efficiency. The combined connecting rod combined arm and the telescopic combined arm, through multi-dimensional precise control, can more effectively erect the arch to the designated position.

This application discloses a method, apparatus, device, and storage medium for enterprise data processing based on a large model. The method, relating to the field of data processing technology, includes: determining multiple sets of enterprise data corresponding to the enterprise to be predicted in an enterprise information database, wherein each set of enterprise data corresponds to a different data type, and the enterprise information database is constructed by acquiring original enterprise data from different enterprises; for each set of enterprise data, inputting the original data of the target enterprise in the set of enterprise data into an expert model corresponding to the enterprise data set in a pre-trained large model to obtain feature vectors; determining the vector weights corresponding to each feature vector based on the gate network in the large model, and determining and outputting the enterprise data prediction result based on each feature vector and its weights. This application improves the accuracy of the model in predicting enterprise loan intentions.

This application discloses a parking control method, device, vehicle, storage medium, and program product, relating to the field of automatic parking technology. The method includes: determining a current target speed based on the current remaining distance to the parking point of the vehicle; the current remaining distance to the parking point is the distance between the current position of the vehicle and the endpoint of its longitudinal movement trajectory; performing closed-loop speed control based on the current target speed and the current actual speed of the vehicle to obtain a current target acceleration; and controlling the longitudinal movement of the vehicle during the parking process based on the current target acceleration. This method provides a way to determine the current target acceleration using a closed-loop speed control method and control the longitudinal movement of the vehicle during the parking process, reducing the complexity, code size, and computational load of the parking control algorithm, making it easier to understand and facilitating the optimization of the parking control algorithm.

The utility model discloses a kind of TPU material drying stirrers, which comprises: shell, hot air mechanism and stirring mechanism, hot air mechanism is installed at the top of shell, and the output end of hot air mechanism extends to the inside of shell;Stirring mechanism extends along the hot air duct of hot air mechanism output and is arranged;Stirring mechanism is installed in the inside of shell;Stirring mechanism includes first stirring section and second stirring section, first stirring section and second stirring section sequentially extend from the top end in the inside of shell to bottom end, thereby forming a multi-section stirring structure along the hot air duct and is arranged;And, first stirring section and second stirring section are communicated at head and tail, first stirring section is arranged with opposite inclination angle in second stirring section.In the utility model, due to the sufficient stirring of TPU material by first stirring section and second stirring section, the local accumulation of moisture in TPU material can be avoided, and the drying effect of TPU material is effectively improved while improving the drying efficiency of TPU material.

The application relates to a label system-based Internet of Things monitoring model construction method and belongs to the field of natural language processing. The method comprises the following steps: establishing an initial label system, manually labeling a structured data set based on the initial label system, and constructing a first training sample set; constructing a Bert model, training the Bert model based on the first training sample set to obtain a trained Bert model; inputting business data into the trained Bert model to obtain corresponding characteristic values, and obtaining a perfect label system based on the characteristic values; constructing an Internet of Things monitoring model, using the Internet of Things monitoring model to predict business data to obtain predicted business data; using the perfect label system to label the predicted business data to construct a second training sample set; and training the Internet of Things monitoring model based on the second training sample set to obtain a trained Internet of Things monitoring model. The method can automatically generate feature labels required by business, label business data by using a perfect label system, and improve the recognition effect and training efficiency of the model.

The application provides a DTOF sensor, a ranging method, a laser receiving module and a ranging device. The DTOF sensor comprises a SPAD pixel and a quenching circuit, a clock management circuit, M different resolution TDCs, M histogram circuits, a digital processing circuit and an interface circuit. The M different resolution TDCs work simultaneously, have a large ranging range and high time resolution under limited hardware conditions, and the data output by the different resolution TDCs is processed by different histogram circuits. The M histograms obtained by the M histogram circuits are output to the digital processing circuit or an external device for processing to determine the time of flight and the distance information of the object to be measured. The DTOF sensor output frame rate is improved, the M histograms obtained simultaneously do not have the mutual covering problem, the subsequent algorithm can further process and optimize the data, and the ranging accuracy is improved.

The utility model is suitable for optical fiber butt joint technical field provides an optical fiber butt joint is with the axle device, including imaging subassembly, imaging subassembly one side sets up in proper order plug core subassembly, spacing component, row fiber subassembly, optical fiber rotator, plug core subassembly includes plug core groove, be provided with a plurality of V type groove on plug core groove, the inside of V type groove is provided with optical fiber, spacing component includes first limit block, first limit block one side is provided with second limit block, first limit block and second limit block are set up in inverted octagonal shape, plug core subassembly still includes workstation, the top of workstation is provided with slide rail, the slide rail is provided with adjusting lever through -going, through spacing component to the optical fiber that places in plug core subassembly after is positioned, makes the optical fiber bundle scattering range limit in certain space, reduces the scattering range of optical fiber, the normal progress of subsequent row fiber work is convenient, reduces the operation difficulty of operator, improves row fiber efficiency.

The present application belongs to the technical field of oil and gas testing and logging, and discloses a device and method for measuring the volume of flowback fluid in oil and gas testing and logging. The device comprises a buffer tank, which is provided with a liquid inlet, a liquid outlet, a liquid outlet and a gas release port. The liquid inlet is connected to the liquid outlet pipe of the flowback fluid, and the liquid outlet is provided with a liquid outlet pipe to communicate with the liquid pool. A partition is arranged in the buffer tank to divide the buffer tank into a first chamber and a second chamber. A liquid flow channel is arranged between the partition and the inner wall of the buffer tank to communicate the first chamber and the second chamber. A stirrer is arranged in the first chamber, and a liquid level meter is arranged in the second chamber. An electric ball valve is arranged on the liquid outlet pipe, and an electromagnetic flowmeter is arranged on the liquid outlet pipe between the liquid outlet and the electric ball valve. The present application sets the buffer tank and the partition, which facilitates the pressure relief of the flowback fluid and the obtaining of the liquid level height of the stable liquid. The present application realizes the continuous and smooth flow of the flowback fluid to achieve the purpose of accurately measuring the volume of the flowback fluid.

The invention relates to the technical field of welding quality online monitoring, and discloses an exothermic welding quality monitoring method based on sensing data. Arranging a temperature sensor at a welding station to be aligned with a heat release center, and collecting a calibration temperature and an original voltage sample to generate a conversion slope and an intercept; determining sampling starting and ending according to starting and working step ending signals, forming a voltage sequence according to a sampling interval, converting temperature, generating temperature rise by taking the first temperature as a reference, and normalizing the temperature rise; self-adaptive triangular smoothing is carried out according to the number of sampling points, a computable interval is limited, and differential change rate and local second-order bending rate energy samples are constructed; samples are sorted to obtain self-baseline statistics, an abnormal index, a quality value and an abnormal time period are generated in combination with maximum energy, and a quality grade is output and filed. Cross-device comparability is achieved, noise is resisted, invalid sampling is reduced, and compared with a peak value method, process abnormity is easier to recognize and locate and traceability is achieved.

A device for air conditioner refrigeration and heat dissipation belongs to the technical field of air conditioner refrigeration equipment. The upper inner wall and the lower inner wall of the air conditioner outdoor unit box are each provided with two groove plates, the upper end and the lower end of the fixing frame are each provided with first inserting plates in one-to-one correspondence with the groove plates, each first inserting plate is connected with the corresponding groove plate in an inserted mode, an electric fan is arranged on the inner wall of the fixing frame, reinforcing mechanisms are arranged on the two side walls of the fixing frame, and the two first inserting plates located at the upper end of the fixing frame are each provided with an inserting opening. The two inserting openings are connected with the heat dissipation mechanism in an inserted mode, the heat dissipation mechanism is used in cooperation with the condensation pipeline, and the lower end of the heat dissipation mechanism is connected with the inner bottom end of the air conditioner outdoor unit box in an inserted mode. By means of the advantages of efficient heat dissipation design, convenient installation and maintenance structure, stable and reliable operation guarantee and modular upgrading, the comprehensive performance of the air conditioner refrigeration system is comprehensively improved, the use cost and the maintenance difficulty are effectively reduced, higher-quality, more efficient and more economical use experience is brought to users, and the air conditioner refrigeration system is worthy of popularization and application. And the method has remarkable technical value and market application potential.

This invention relates to a CVD-modified coating, its preparation method, and its application, belonging to the field of coating technology. The preparation method includes the following steps: obtaining a CVD coating using chemical vapor deposition; subjecting the CVD coating to freeze-drying to obtain a first CVD coating; subjecting the first CVD coating to magnetic field heat treatment to obtain a second CVD coating; and sequentially alternatingly processing the second CVD coating with the freeze-drying and magnetic field heat treatments to obtain the CVD-modified coating. Based on existing CVD coating preparation methods, this invention utilizes a combined magnetic field heat treatment and freeze-drying process for synergistic modification, optimizing the microstructure of the CVD coating. When applied to a substrate surface, it can improve its hardness and wear resistance, thereby extending the service life of devices such as cutting tools, molds, and machine parts, and has a wide range of applications.

This utility model belongs to the field of material erosion testing technology, and particularly relates to an equivalent test device for compressor blade erosion. It includes a compressed air pump, a sand tank, an erosion pipe, an erosion chamber, and a sample holder. The sample holder is characterized by having a sample slot sealed on three sides, with a baffle on the open side of the slot. The sample holder has ear plates on both sides; one ear plate is movably connected to the side wall of the erosion chamber via a half-shaft, and the other ear plate is movably connected to the opposite side wall of the erosion chamber via a half-shaft. The outer end of either half-shaft is connected to the output shaft of a worm gear reducer, which is mounted on the outer side wall of the erosion chamber. The beneficial effects of this utility model are: by accurately controlling the quality of the abrasive material flowing over the surface of the flat material sample, it achieves precise simulation of the erosion effect, providing accurate data support for equivalent analysis, which is beneficial for guiding material optimization and ultimately extending the service life of compressor impeller products.

This invention relates to an AI model backdoor defense system and its detection method. The technical solution includes a model security detection module, a backdoor location and tracing module, a backdoor removal and hardening module, a real-time inference protection module, and a security verification and auditing module. These modules are interconnected to form a closed-loop defense architecture. Based on this system, the method identifies model backdoors through multi-dimensional fusion detection, linking the entire process of location and tracing, removal and hardening, real-time protection, and security verification to achieve accurate detection, thorough removal, and real-time protection against various AI model backdoors. This invention overcomes the shortcomings of existing technologies, such as single detection dimensions, lack of closed-loop defense, poor scenario adaptability, and poor real-time performance. It is adaptable to various deep learning models, including large language models and multimodal models, and is applicable to multiple scenarios such as model development, deployment, and supply chain security, improving model security and possessing broad application value.

The application discloses an information processing method and device and a storage medium. The method comprises the following steps: obtaining source code of a process; performing central processor plugging, memory plugging and unit time session quantity plugging on the source code of the process to obtain a plugged process; receiving an application data packet sent by a stress testing robot; processing the application data packet through function calling of the plugged process to obtain central processor comprehensive usage rate monitoring results, memory comprehensive usage rate monitoring results and unit time comprehensive session quantity monitoring results; determining a stress testing result of a local server according to the monitoring results; and when the local server is in a stress overload state, determining a target calling path according to function calling relations in the plugged process. According to the function calling relations in the plugged process, the target calling path can be determined, the functions in the target calling path can be optimized, and thus the stress of the server can be reduced.

This invention relates to a knowledge graph-based intelligent customer service question-and-answer precision recommendation and processing method, belonging to the field of electronic digital data technology. The method includes: constructing a conversation prediction knowledge graph based on the historical conversation counts from multiple channels; predicting the future conversation counts from multiple channels based on the conversation prediction knowledge graph and the current conversation counts from multiple channels; setting the number of robot agents and human agents based on the future conversation counts from multiple channels; accessing conversations from multiple channels, using robot agents to perform semantic understanding of user questions in the conversation, constructing a user demand profile, and determining whether to assign a human agent; if so, assigning the optimal human agent based on the status data of the human agent; if not, generating answers based on the user demand profile, conducting a dialogue, and generating recommended questions based on a question association graph. The question association graph records the relationships between multiple questions, which has the advantage of improving the quality and efficiency of customer service.

The application discloses a fault diagnosis method for a discrete event system based on events and partially observable states, and comprises the following steps: S1, acquiring a discrete event system to be diagnosed, and modeling the discrete event system into a deterministic finite state automaton, wherein observable behaviors of the discrete event system comprise an observable event set and an observable output set; S2, defining event-output pairs based on the automaton; S3, defining observable event-output pairs and observable event-output pair sequences composed of the observable event-output pairs based on the event-output pairs; S4, constructing a verifier automaton taking the observable event-output pairs as events, wherein states of the verifier automaton carry information about whether the discrete event system is faulty; and S5, judging whether the discrete event system is diagnosable. The application realizes effective diagnosis of the diagnosability of a system under the condition that both events and states are partially observable.

The present disclosure provides a connector module, a laser radar and a movable device. The laser radar comprises a shell, a first circuit board, a connector, a second circuit board and an electrical connection structure. The shell comprises a first plate body and a second plate body, the second plate body is located on one side of the periphery of the first plate body and is fixedly connected with the first plate body, and the second plate body has a first mounting hole penetrating through the second plate body along the thickness direction of the second plate body; the first circuit board is installed in the shell and is arranged in a stack with the first plate body; the connector is installed at the first mounting hole and comprises a conductive pin, the conductive pin has a first section extending along the thickness direction of the second plate body, and at least part of the first section is located in the shell; the second circuit board is installed in the shell and is arranged in a stack with the second plate body, and the second circuit board is provided with a conductive matching part, the first section is electrically connected with the conductive matching part; and the electrical connection structure is electrically connected with the first circuit board and the second circuit board. The laser radar of the present disclosure is beneficial to the optimization of the structure of the connector itself.

This application discloses a method for early warning of rubbing during the transportation of wind turbine blades, comprising: S1, initiating an early warning program based on the real-time location information of the transport vehicle, collecting relative position and relative velocity data between the wind turbine blades and obstacles on both sides of the road, as well as the vibration acceleration and angular velocity of the transport vehicle, and preprocessing the collected data to remove invalid data; S2, denoising the preprocessed relative position and relative velocity data; S3, evaluating the bump intensity based on the preprocessed vibration acceleration and angular velocity data of the transport vehicle; S4, mapping the denoised relative position data, relative velocity data, and bump intensity evaluation into fuzzy linguistic variables; S5, evaluating the early warning level based on the fuzzy linguistic variables, and dynamically updating the early warning level evaluation rules during operation; S6, clarifying the early warning level evaluation, and finally outputting a clear risk level.

The application discloses a testing method for a vehicle brushless blower, which comprises a controller, a brushless motor, an impeller and a volute. The input end of the controller is electrically connected with the output end of a power supply. The output end of the controller is electrically connected with the brushless motor. The impeller and the volute are installed inside an air conditioner box HVAC. The testing method comprises the following steps: a dynamic torque sensor and an encoder are arranged on a transmission rod between the rotor of the brushless motor and the impeller and the volute; the brushless motor is started by the controller to drive the impeller to run; the output voltage and current of the power supply and the three-phase instantaneous voltage and current output by the controller are detected; the output torque of the brushless motor is detected by the dynamic torque sensor, and the rotating speed of the brushless motor is detected by the encoder; the output air volume of the air conditioner box HVAC under a specific static pressure after the impeller is installed inside the air conditioner box HVAC is detected; and the controller efficiency, the brushless motor efficiency, the impeller efficiency and the assembly efficiency of the air conditioner box HVAC system are calculated according to the above test results.