22results about How to "Overcoming complexity" patented technology

The invention relates to the technical field of mode control, and discloses a metro operation dual-mode control method and system based on pulse width modulation coding. The method comprises the following steps: defining an initialization voltage range through a power supply measurement module, and adopting a dual redundancy measurement module to realize manual control and automatic operation channel voltage dual-path calibration; the signal collector collects a real-time current signal, and the signal comparator performs anomaly detection to generate a mode selection control signal; the pulse width modulation encoder calculates a duty ratio parameter and generates a current-limiting pulse width modulation signal; the multiple protectors judge the fault state, and the delay controller adjusts the disconnection time sequence of the relay; the time sequence controller establishes a mode switching rule, and the relay linkage controller optimizes an output state; the data collector extracts operation parameters, and the communication interface completes data electrical isolation transmission. Seamless switching between the manual control mode and the automatic operation mode is achieved through the pulse width modulation coding technology, and the stability and reliability of the system in the mode switching process are ensured.

The invention discloses a power line loss calculation and prediction method based on deep learning and error correction, and relates to the technical field of power line loss calculation, and the method specifically comprises the steps of power data information collection, data cleaning and preprocessing, data feature extraction, model building, error correction and precision improvement, and hyper-parameter optimization. According to the method, the advantages of support vector regression and a bidirectional long short-term memory network are fused, and a CNN-BiLSTM-SVR calculation model with high robustness is constructed through deep mining and effective utilization of related data in a power system; the problems of complexity and low efficiency of the traditional line loss calculation method in processing large-scale data are solved by introducing a deep learning technology, especially BiLSTM; error correction is carried out on the preliminary calculation result of the model through SVR, the accuracy of line loss calculation is further improved, the efficiency of line loss calculation is improved, the accuracy of the calculation result is ensured, and powerful technical support is provided for optimization management of a power system.

The invention provides a rapid intelligent design method and system for a surface acoustic wave filter, and the method comprises the steps: building a physical model of a surface acoustic wave resonator based on electromagnetic simulation software, carrying out the calculation to obtain a corresponding admittance response, and obtaining a series of surface acoustic wave resonator admittance responses and key structure parameters for constructing a target surface acoustic wave filter; preprocessing the collected sample data set to form an input vector of a deep learning model; constructing a reversely designed neural network model, learning a mapping relation between structure parameters and admittance response, and predicting the structure parameters of the serial and parallel surface acoustic wave resonators; and in combination with a COM model, the admittance of the series resonator and the admittance of the parallel resonator are converted into an S matrix, so that a filtering passband is obtained. According to the method, the problems of high calculation cost and accuracy caused by complex acoustic characteristics and material parameters are avoided, the defects that a traditional numerical simulation method is time-consuming, tedious and complex in circuit topology process are overcome, and the rapid and intelligent design requirement of the surface acoustic wave filter is met.

The invention discloses a multi-terminal parallel authentication authorization and equipment perception method for a key task communication system, which belongs to the technical field of key task communication, and specifically comprises the following steps: S1, configuration preparation: a server pre-configures a terminal initial configuration file for a terminal; the initial configuration file of the terminal comprises lt; m < cpt >-UE-idgt; element, lt; m < cpt >-UE-idgt; the elements comprise the next-level lt; the method comprises the following steps: carrying out Instance-ID-URNgt; an element; lt; the method comprises the following steps: carrying out Instance-ID-URNgt; the elements are instantiated to be unique identifiers by the configuration terminal; s2, configuration issuing and effectiveness: the server issues the initial configuration file of the terminal to the terminal, and the initial configuration file of the terminal is restarted to take effect through the terminal; s3, authentication and information reporting: the terminal initiates an authentication and service authorization request, wherein the request carries the result; the method comprises the following steps: carrying out Instance-ID-URNgt; an element; s4, service authorization and configuration issuing: the server receives the request, analyzes the terminal instantiation unique identifier, records analysis information, and determines whether to issue matched user configuration file data to the terminal; according to the invention, the terminal registration authentication process is deeply coupled with the terminal type and capability evaluation, and intelligent decision-making can be carried out based on terminal difference.

The invention provides a gold-copper nanocluster with efficient multi-source active oxygen generation performance and a preparation method and application of the gold-copper nanocluster, and belongs to the field of biomedical materials. The gold-copper nanocluster is synthesized through mediation of Tf, and Tf is full transferrin, iron-saturated transferrin or siderophore. The gold-copper nanocluster with Tf as the ligand is synthesized by adopting a simple one-pot method, and the problems that in the prior art, a multi-source active oxygen generation system is complex to construct and a preparation method is tedious are solved; the gold-copper nanocluster synthesized by taking Tf as a ligand can be used as a simple multi-source active oxygen generation system, superoxide anions can be generated through photosensitized oxidation activity sensitization oxygen, and hydroxyl radicals can be generated through peroxidase-like activity catalysis hydrogen peroxide, so that efficient generation of multi-source active oxygen is realized; and the effect of enhancing tumor treatment is achieved.

The present application relates to the field of mode control technology, and discloses a dual-mode control method and system for subway operation based on pulse width modulation coding. The method includes: defining the initialization voltage range through a power supply measurement module, and using a dual redundant measurement module to realize dual-channel calibration of manual control and automatic operation channel voltages; a signal collector collects real-time current signals, and a signal comparator performs abnormal detection to generate a mode selection control signal; a pulse width modulation encoder calculates duty cycle parameters and generates a current-limiting pulse width modulation signal; multiple protectors determine the fault state, and a delay controller adjusts the relay disconnection timing; a timing controller establishes mode switching rules, and a relay linkage controller optimizes the output state; a data collector extracts operating parameters, and a communication interface completes data electrical isolation transmission. The present application realizes seamless switching between manual control and automatic operation modes through pulse width modulation coding technology, ensuring the stability and reliability of the system during the mode switching process.

The invention discloses an I-type collagen coating method for promoting cell adherent proliferation, and belongs to the technical field of cell culture. According to the method, collagen is not prone to falling off, no obvious adverse effect is generated on the biological activity of the collagen, and coating is easy and fast, 60%-80% (v / v) ethyl alcohol is used as a solvent to dissolve or dilute the collagen I, and a collagen I solution is obtained; the culture vessel is coated with the I-type collagen solution as a coating solution, the culture vessel coated with the I-type collagen is obtained, the whole process is carried out at room temperature, a specific environment does not need to be provided, the defect that an existing traditional coating mode needs to be carried out under ice is overcome, and the culture vessel can be used for promoting cell proliferation and adhesion, is suitable for culture of various cells and has good application prospects. And the cost is reduced.

The present invention discloses a corrugated steel tube concrete column, comprising a polygonal cavity formed by alternately connecting flanges of a plurality of steel sections and a plurality of corrugated steel plates, wherein the corrugation direction of the corrugated steel plates is the same as the length direction of the polygonal cavity, the number of sides of the polygonal cavity is an even number and the interior of the polygonal cavity is filled with concrete, and the corrugated steel plates and steel sections can be used to work in coordination to give full play to the superior performance of both, thereby overcoming the difficulty of complex connection nodes of traditional steel tube concrete columns due to the small wall thickness of the steel tube, reducing the cost of engineering node connection, and the steel section rigidity of the corrugated steel tube concrete column is large, and the cross-sectional rigidity can be flexibly adjusted by adjusting the steel section distance, thereby facilitating engineering applications with different lateral rigidity requirements.

This invention provides a fine-grained identification and incremental learning method for civil aviation human factor risks in the face of small amounts of semantically complex text. The method includes: collecting reports of civil aviation safety incidents involving human factors; outputting standardized text through regular expressions and dependency parsing; and dividing the text into learning set 1 and learning set 2. A human factor risk labeling system is established in learning set 1, and the text is labeled using semantic, structural, and keyword similarity models and a coefficient of variation weighting strategy. A multi-window semantic fusion Bert-BiLSTM model is used to vectorize the text. A clustered prototype network optimizes the vector representation based on the labels to achieve fine-grained risk identification. The maximum error of the reconstructed vectors based on a variational autoencoder determines the threshold for identifying unknown risks. An unknown risk sample set is selected from learning set 2 using the threshold and topic model, and incremental risk learning is completed based on the parameter information matrix. This invention effectively overcomes the constraints of small sample sizes and complex semantics, improving the accuracy and dynamism of civil aviation human factor risk identification.

The invention discloses a lesion discrimination method and system based on an internal image of a digestive tract, and relates to the technical field of medical image processing, and the method comprises the steps: collecting an endoscopic image containing intracavity pressure change, and carrying out the illumination standardization and polar coordinate system mapping of the image, so as to eliminate the illumination difference and the shooting angle influence. And through low-amplitude step inflation stimulation, obtaining a response frame of an inflation stage, and substituting the response frame into the health potential energy model to generate an anti-fact health image. Thirdly, deformation increment and non-conservation residual errors are calculated based on optimization of a joint energy function, topological difference analysis is conducted through multi-stage pressure trajectory analysis, and a focus area is judged according to structural connectivity changes. And in combination with persistence and abnormal intensity analysis, outputting a lesion judgment result. The problem that illumination change and image quality are inconsistent in a traditional method is solved, accurate judgment of the lesion area is achieved, accuracy and stability of lesion detection are improved, and the method has high clinical application value.

This utility model relates to the field of textile technology, and in particular to a fabric unwinding and winding device, comprising an unwinding device and a winding device respectively arranged on both sides of a drying equipment. Loading and unloading at both the unwinding and winding devices are manually operated. Both the unwinding and winding devices are equipped with tension-adjusting rollers. This combination of manual loading and unloading with automatic adjustment of key system components significantly reduces manufacturing and operating costs while fully meeting the requirements of the ceramic fiber felt roll drying process, and makes operation simpler and easier. The winding device utilizes a correction system composed of a correction sensor, a movable support, and guide rails to detect and automatically correct positional deviations during fabric movement, effectively avoiding problems such as uneven winding and misalignment common in traditional semi-automatic equipment, thus improving product quality consistency. The independent collection grid and its movable support design facilitate operator roll replacement and improve production efficiency.

A non-orthogonal semi-unlicensed adaptive transmission method for low-Earth orbit (LEO) satellite communication includes: simultaneously selecting scheduled licensed users and selected unlicensed users according to preset scheduling rules; comparing the channel gain of the licensed users with a preset transmission strategy decision threshold value, and selecting transmission strategy A or transmission strategy B; if transmission strategy A is executed: adjusting the transmission power of each user according to the power allocation method specified in transmission strategy A, and simultaneously uploading their respective signals to the LEO satellite using an uplink non-orthogonal access method; the LEO satellite decoding order is to decode the licensed user signal first, and then decode the unlicensed user signal; if transmission strategy B is executed: adjusting the transmission power of each user according to the power allocation method specified in transmission strategy B, and simultaneously uploading their respective signals to the LEO satellite using an uplink non-orthogonal access method; the LEO satellite decoding order is to decode the unlicensed user signal first, and then decode the licensed user signal.

The embodiment of the utility model provides a digital-to-analog conversion circuit, a controller and electronic equipment, and belongs to the technical field of programmable logic controllers. The circuit comprises a control module for generating a device control signal for controlling an external device. And the digital-to-analog conversion module is connected with the control module and is used for converting the equipment control signal from a digital signal to an analog voltage signal. And the voltage signal output module is used for outputting an analog voltage signal to external equipment. The voltage and current conversion module is connected with the control module, the control module is used for controlling the voltage and current conversion module to be in a module starting state, the voltage and current conversion module is connected with the digital-to-analog conversion module, and the voltage and current conversion module is used for converting an analog voltage signal into an analog current signal according to the module starting state. And the current signal output module is used for outputting an analog current signal to external equipment. According to the embodiment of the invention, the complexity of the digital-to-analog conversion circuit can be reduced, and selectable voltage or current analog signal output can be realized through a simple circuit structure.

The invention discloses a children tumor management system and method based on a multi-modal large model, and relates to the technical field of children tumor management, and the system comprises a multi-modal data analysis module, a retrieval enhancement generation module, a patient end module and a doctor end module. The multi-modal data analysis module is used for processing clinical texts, medical images, pathological reports, gene sequencing, nutrition evaluation and psychological scales to generate structured data. And the retrieval enhancement generation module retrieves the first information fragment from the children tumor domain knowledge base according to the structured data, generates first traceable response content through a semantic rearrangement technology, and further generates visual information and text information related to the health condition of the patient and provides the visual information and the text information to the patient or family members. The multi-modal data are integrated to generate the structured information, artificial intelligence illusion is inhibited through traceable response, the health information is output in a popular form, the problems of information overload and patient management fragmentation are solved, and the diagnosis and treatment efficiency and accuracy are improved.

The present invention relates to the field of deep ultraviolet multi-dimensional laser confocal microscopy technology, in particular to a modular deep ultraviolet multi-dimensional laser confocal microscopy device, including a laser confocal scanning microscope, a confocal mainframe connected to the laser confocal scanning microscope; a fluorescence spectrometer and a fluorescence lifetime imaging component are provided on the top of the confocal mainframe, and a device for introducing part of the emitted light into the fluorescence spectrometer and the fluorescence lifetime imaging component through a spectroscope is provided in the confocal mainframe; a light source introduction interface is provided on one side of the confocal mainframe, a multi-channel light source beam combining box is connected to the light source introduction interface, a first continuous laser, a pulsed laser and a second continuous laser are connected to the multi-channel light source beam combining box through an optical fiber, and a spectroscope for combining the multi-channel light sources is provided in the multi-channel light source beam combining box. The present invention not only has the ability to overcome the interference of complex background fluorescence and scattered light, but also ensures high light transmittance in the deep ultraviolet region.

The present invention discloses an earthquake fault identification method, storage medium, and device, which relate to the field of image processing. The method comprises: dividing a three-dimensional earthquake synthetic data set into a training set and a test set; constructing an earthquake fault identification model, including a Patch Embedding layer, an encoder, a multi-layer feature fusion module, a decoder, and a linear projection layer; the encoder and the decoder both include axial, spatial, and channel attention mechanisms. After passing through the Patch Embedding layer, the three-dimensional seismic data enters the encoder; the multi-layer feature fusion module fuses the feature map output by each encoding unit, and the output feature map of the multi-layer feature fusion module is input to the decoder and then passes through the linear projection layer to obtain the final fault identification result. The real earthquake data to be identified is input into the final earthquake fault identification model after training and testing to obtain the fault identification result. The present invention effectively improves the model's ability to identify small faults.

The invention relates to the technical field of agricultural detection, and discloses an automatic fertilizer nitrate nitrogen qualitative detection method and system and a storage medium. The method comprises the following steps: extracting an initial solution sample from a fertilizer, carrying out color development treatment to obtain a color-developed solution, carrying out preliminary spectral analysis on the color-developed solution to obtain original spectral characteristic data, and preprocessing the original spectral characteristic data; according to the preprocessed original spectral feature data, determining a chromogenic reaction area and extracting color distribution features of the area, and calculating color intensity data of the chromogenic reaction area through the color distribution features; judging whether nitrate nitrogen exists or not according to the color intensity data, if so, acquiring a concentration estimation value, and correcting the concentration estimation value in combination with the environmental parameters to obtain corrected concentration data; the corrected concentration data is compared with the reference data, a qualitative classification result is determined, a detection report is generated according to the qualitative classification result, and the accuracy of nitrate nitrogen detection in the fertilizer is improved.

The invention relates to the technical field of oxygen reduction catalysis, and provides a method for coating Pt clusters of different sizes with FeN-doped fullerene to improve ORR catalytic performance of the Pt clusters. The method comprises the following steps: firstly, constructing a FeN4C180 model, and coating different numbers of Pt clusters in the FeN4C180 model; and then, optimizing the model by using density functional theory (DFT) calculation so as to explore ORR catalytic performance of different fullerene modified structures. The method comprises the following specific steps: constructing a FeN-doped fullerene model, constructing and optimizing an optimization model, coating Pt clusters with different sizes, calculating stability of a coating structure, calculating free energy in an ORR process and analyzing intrinsic reasons of catalytic performance. The influence of the Pt cluster size on the ORR catalytic performance is studied through theoretical simulation, and a new modification thought is provided for improving the ORR catalytic performance of fullerene while the use amount of precious metal is reduced. The theoretical prediction structure result can pertinently guide experiment synthesis, and the experiment test cost and the operation frequency are reduced.

This application discloses an edge device deployment method, comprising: acquiring relevant information about the area to be deployed and the edge devices; establishing an edge device deployment optimization model that maximizes the benefits to resource providers based on the relevant information; solving the optimization model using a two-layer deployment strategy algorithm to obtain corresponding device deployment strategies and resource allocation strategies; deploying edge devices according to the device deployment strategies and allocating resources according to the resource allocation strategies. This application constructs the edge device deployment problem as a two-layer model, decoupling the complex edge device deployment problem into two simple sub-problems, overcoming the shortcomings of high complexity and strong coupling in existing technologies, and possessing the advantages of high cohesion and low coupling. Furthermore, the method of this application can adapt to scenarios where one or more wireless networks operate in parallel, overcoming the shortcomings of existing technologies that only consider one type of wireless network, and possessing the advantages of flexibility and wide applicability.

The invention relates to a pretreatment method for industrial coating of a hydraulic workpiece. The pretreatment method comprises the steps that S1, other attachments except greasy dirt on the outer surface of the hydraulic workpiece are removed; s2, oil stain treatment is conducted, specifically, the hydraulic workpiece treated in the S1 is soaked and washed with circulating alkaline water so as to remove oil stains on the hydraulic workpiece; s3, anti-flash-rust treatment is conducted, specifically, the hydraulic workpiece treated in the S2 is soaked and washed in a sectional mode through a circulating anti-flash-rust agent; and S4, the hydraulic workpiece treated in the S3 is directly used for industrial coating after being dried. The method has the beneficial effects that the adhesive force of a coating object is improved, the coating repair rate is reduced, the defects that degreasing of a traditional stand column and a jack is affected by the environment and the process is complex before the water paint coating process are overcome in the whole degreasing process, the process is simple and efficient, meanwhile, it is ensured that the green manufacturing target is achieved, and the production cost is reduced. The purposes of energy conservation, emission reduction and cost reduction are achieved.

The invention relates to the technical field of motors, in particular to a driving motor NVH performance evaluation method and device, and the method comprises the following steps: S1, obtaining the time domain electromagnetic force distribution data of each skewed pole section stator tooth of a target motor through electromagnetic simulation; s2, performing spatial domain equivalent synthesis on the electromagnetic force of each skewed pole section to generate a global equivalent electromagnetic force time domain signal; s3, performing frequency domain-order conjoint analysis on the global equivalent electromagnetic force time domain signal, identifying a target frequency point having significant influence on NVH performance, and extracting a main space order and a main time order corresponding to the target frequency point to obtain a corresponding synthetic excitation force amplitude; s4, on the basis of the time domain electromagnetic force distribution data, under the target frequency point, the main space order and the main time order, calculating the electromagnetic force phase difference between the at least two groups of skewed pole sections, and generating a phase difference characterization quantity; and S5, inputting the target frequency point, the synthesized exciting force amplitude and the phase difference representation quantity into an NVH performance evaluation model, and outputting an NVH performance index.

This invention provides a method and device for monitoring the moisture content of roadbed structural layers. It calculates the volumetric moisture content by measuring the resonant frequency of an induction coil to invert the roadbed's dielectric constant, and then combining this with locally calibrated parameters such as the dielectric constant and porosity of solid particles, using a model relating the dielectric constant and moisture content. An induction coil is embedded within the wall of the drainage pipe, enabling the moisture content monitoring system to acquire, process, and wirelessly transmit signals. This invention solves the technical problems of traditional drainage pipes lacking sensing capabilities and electromagnetic signal attenuation in the soil leading to large measurement deviations in moisture content, achieving real-time, non-destructive, and spatially continuous monitoring of roadbed moisture content.