14results about How to "Adaptive strong" patented technology

The invention discloses a low-computing-power narrowband call noise removal method and device. The noise removal method comprises the steps of obtaining framing data; determining a data type corresponding to the framing data through the target model, wherein the data type comprises a voice frame and a noise frame; determining a noise variance according to the noise frame; constructing a Kalman equation according to the voice frame; and according to the noise variance and the Kalman equation, noise of the voice frame is removed, and a noise-reduced voice frame is obtained. Compared with the prior art, the method has the advantages that the data type of the framing data is determined, that is, whether the framing data contains voices or not only needs to be labeled, pure voices do not need to be extracted from voices containing noise for labeling, and manufacturing of label data can be simplified; meanwhile, a lightweight target model and a Kalman filtering method are adopted, the method can be suitable for low-computing-power narrow-band communication, noise is filtered in real time, the application range is wide, self-adaption is high, and then real-time noise reduction can be conducted on voice when the method operates on a low-performance dsp.

The invention discloses a fast slew rate enhancement system of an operational amplifier, which comprises a current identification circuit for monitoring the current of a load tube current mirror structure in the operational amplifier; the comparator is used for comparing the current monitored by the current identification circuit or a signal related to the current with a threshold value, judging the size of the monitored current, taking a comparison result of the comparator as a basis for judging that the slew rate is limited, and starting an enable signal of the corresponding slew rate enhancement circuit; and the slew rate enhancing circuit is used for enhancing the slew rate of the operational amplifier by utilizing the slew rate enhancing enable signal identified by the comparator. Whether the operational amplifier is in the slew rate limited state or not is judged according to the chip internal current signal change of the load current mirror tube in the operational amplifier, and interference of off-chip noise signals is effectively prevented; and meanwhile, the influence of the operational amplifier input imbalance on the slew rate triggering system is reduced because the operational amplifier input imbalance is irrelevant to the operational amplifier differential input pair transistor imbalance.

The invention relates to the technical field of information management, and discloses a human resource information digital management method and system based on big data. Firstly, human resource data index scores in the original human resource data matrix are calculated by using a principal component analysis method, and executive ability values of employees are calculated after principal components are screened; secondly, classifying the employee execution capability values by using an improved clustering algorithm, and introducing a particle swarm optimization algorithm to search an optimal initial clustering center so as to complete position distribution; training a BP neural network to obtain a BP neural network model, predicting employee performance, and outputting an employee performance prediction value; and finally, performing employee performance assessment and evaluation according to the employee performance predicted value, thereby realizing digital management of human resource information. By analyzing and processing the human resource data, the purpose of human resource information digital management is achieved, and the method is objective and accurate.

This invention discloses a submarine cable anti-scouring device and its construction method, applicable to the field of submarine cable protection technology. The invention includes a filter layer and a flexible protective layer. The filter layer comprises multiple filter pads arranged sequentially along the axial direction of the submarine cable on the surface of the cable and / or the seabed, with adjacent filter pads overlapping. The flexible protective layer comprises multiple flexible protective pads arranged sequentially along the axial direction of the cable on the filter layer. At least one flexible protective pad is provided at the overlap of any two adjacent filter pads to press the filter layer firmly against the surface of the cable and / or the seabed. This application, through the cooperation of the filter layer and the flexible protective layer, improves the stability of the submarine cable anti-scouring device to reduce inter-segment displacement and possesses adaptive capability to seabed subsidence deformation, effectively enhancing the anti-scouring effect of the submarine cable.

This invention discloses a three-beam coaxial adaptive laser melting and forming method and apparatus, relating to the fields of metal additive manufacturing and laser welding technology. The method includes: activating a protective gas system; starting a high-precision real-time control system, acquiring multi-source signals from the molten pool region in real time through a monitoring module; transmitting the multi-source signals acquired by the monitoring module to a central processing unit to establish a mapping relationship model between monitoring features and process quality; based on the output of the mapping relationship model, real-time feedback control of laser power, wire feeding speed, and powder feeding rate; and repeating the adaptive control steps to achieve full-process adaptive closed-loop control of the forming path. This invention employs the aforementioned three-beam coaxial adaptive laser melting and forming method and apparatus, which has the advantages of good synergy and multiple control dimensions, enabling online real-time closed-loop control of the manufacturing process and solving the problems of uneven gap repair and forming defects and composition control in the preparation of functionally graded materials.

This invention discloses a high-efficiency video analysis method based on cloud-edge collaboration and adaptive MoE. The method includes: when an edge device performs a video analysis task, it first constructs a meta-request containing current task data and device resource constraints, and sends it to the cloud; the cloud uses a pre-trained basic model to extract features from the video data and clusters the data based on the feature space, dividing complex video scenes into multiple semantic subdomains; a lightweight expert model is trained in the cloud for each semantic subdomain; a routing decision model is further trained in the cloud; after deploying an expert model pool and routers on the edge device, for input data, the router first calculates the matching degree of each expert model and performs a comprehensive evaluation based on its computational cost. Through knowledge distillation, the large-scale basic model is decomposed into lightweight expert models, achieving a significant compression of the model size, enabling efficient deployment on resource-constrained edge devices.

The present invention discloses a modular reconfigurable adaptive assembly work platform and an assembly method, wherein the assembly work platform includes: a platform module, a support assembly, a guardrail, a trapezoidal module, a plate-type limiter, and an extension block module; the platform module includes a plurality of tower units, and the tower unit is spliced ​​by a plurality of step module assemblies; the support assembly includes a plurality of column modules, and the support assembly is arranged at the bottom of the platform module; the guardrail includes a horizontal guardrail and an oblique guardrail, and the horizontal guardrail is arranged on both sides of the platform module; a trapezoidal module is arranged at one end or both ends of the platform module, and oblique guardrails are arranged on both sides of the trapezoidal module; a plate-type limiter is arranged against one side of the platform module; the extension block module is arranged on the plate-type limiter, and the upper plane of the extension block module is parallel to the upper surface of the platform module. This kind of assembly work platform can be modularly assembled, has strong reconfigurability and strong adaptability; the assembly method is relatively easy, and the quality of the platform is easy to control.

The application discloses a kind of hybrid signal injection type capacitance current compensation method, system, equipment and medium based on parameter self-correction, is specifically related to electrical automation and digital technology field.The method comprises: by main station to distribution network inject wideband signal, response signal and zero sequence signal are collected by column device;Based on U1, I1 data, using improved recursive least square method on-line real-time identification line equivalent capacitance and resistance to ground, realize parameter self-correction;According to zero sequence voltage amplitude automatic switching signal injection method and displacement voltage method calculate capacitance current, and utilize Kalman filtering to carry out data fusion calibration;Finally based on identification parameter, through parameter-compensation amount mapping model dynamic determination arc suppression coil adjustment step size, carry out fast closed loop compensation.The application realizes on-line real-time identification and self-correction of distribution network capacitance parameter to ground, reaches fast, accurate compensation capacitance current under all-weather operation condition, ensures that system residual flow meets requirements.

The application provides a chiral carbene ligand, a preparation method thereof and application in asymmetric synthesis, the chiral carbene ligand catalyzes asymmetric hydroarylation reaction of various kinds of olefin substrates such as aryl olefin, alpha-olefin and diene, and aryl bromine or aryl chloride, and synthesizes four kinds of drug molecules or drug molecule intermediates in one step. The chiral carbene ligand has a flexible chain structure, is self-adapting, can effectively adapt to different transition metal centers and substrate configurations, and improves the universality and selectivity of the catalytic system; the raw material used in the preparation method of the chiral carbene ligand is easy to obtain, the synthesis route is short, and post-treatment is simple; various reagents can exist stably at normal temperature and pressure without special treatment; only by regulating the nickel catalyst and the new chiral carbene ligand, high regioselectivity and enantioselectivity of the chiral benzyl-containing compound can be realized; the asymmetric synthesis method can obtain the target product in one step, and greatly reduces the production cost of synthesizing the compound.

This application discloses an online identification method and system for pipe resistance coefficient based on an improved recursive least squares method, belonging to the technical field of heating systems. The method includes: collecting operating data of the heating pipe network; constructing a resistance coefficient identification model based on the operating data; using an improved recursive least squares method to identify the resistance coefficient online based on the identification model; evaluating the reliability of the identification results; and updating the verified resistance coefficients to the intelligent valve control system in real time. The method boasts strong real-time performance, enabling online real-time updates of the resistance coefficient to adapt to dynamic changes in the pipe network. The improved RLS algorithm enhances identification accuracy, with a measured error of <5%. No special testing conditions are required, and it does not affect the normal operation of the system. A variable forgetting factor design allows the algorithm to adapt to different operating states. It is suitable for real-time operation in embedded systems and has been verified in actual projects.

The invention provides a passive self-adaptive automobile wake flow controller. The passive self-adaptive automobile wake flow controller structurally comprises an air inlet pipe, a turbulent flow pipe, a branch pipe and an air injection structure. The air inlet pipe is fixed to the bottom of the automobile and used for guiding airflow generated by relative movement in the automobile running process into the wake flow controller. After the turbulent flow pipe is connected to the air inlet pipe, an impeller is arranged in the turbulent flow pipe and used for conducting unsteady disturbance on airflow, and unsteady control airflow is generated. After the branch pipe is connected to the turbulent flow pipe, unsteady control airflow is divided into multiple strands of airflow, and multi-point control is achieved. The air injection structure is connected to the branch pipe, then arranged at the tail of the automobile and used for injecting the unsteady control airflow into the unstable airflow at the tail of the automobile, and wake flow control is achieved. According to the technical scheme, the unsteady flow control effect of the automobile wake flow is achieved through the simple structure, and different control effects can be provided in a self-adaptive mode according to the automobile speed.

The present application discloses an axial loading test device and method, the axial loading test device comprises: a test bench, comprising a rotor and a support, the rotor being rotatably connected to the support through a foil air bearing; a loading mechanism, comprising a loading ring and a loading sleeve, the loading ring being connected to the rotor, the loading sleeve being sleeved on the loading ring, and forming a sealed space with the loading ring, and filling gas into the sealed space to apply an axial loading force to the rotor through the loading ring. The above-mentioned axial loading test device and method connect the loading ring of the loading mechanism to the rotor, the loading ring being sleeved on the loading sleeve, and forming a sealed space between the loading sleeve and the loading ring. During the axial test, air is filled into the sealed space, and the air pressure applies an axial loading force to the rotor through the loading ring. The axial force borne by the rotor during the test is gentle, the force is uniform, the control is precise, and the adaptability is strong.

The present invention belongs to the field of information processing technology, and provides a method and system for predicting enterprise energy consumption based on time series portrait technology. In the present invention, missing values ​​and abnormal values ​​in historical energy consumption data are identified, and the missing values ​​and abnormal values ​​are corrected to obtain processed energy consumption data; based on the analysis of the enterprise energy consumption pattern, the characteristics of the processed energy consumption data are extracted to construct the enterprise time series portrait; according to the constructed time series portrait, a preset energy consumption prediction model is used to obtain an energy consumption prediction result; through the shallow time series feature learning of the time series portrait, and the deep time series feature learning, not only the characteristics in the time series data are deeply mined, but also the enterprise energy consumption pattern is considered, so that the real situation behind the data can be understood more comprehensively, and the energy consumption prediction model adopted has a good sample nonlinear fitting function, has a strong ability of self-adaptation, self-organization and self-learning, and has the ability of large-scale parallel computing.

The invention discloses a multi-source sensing sorting system auxiliary line-stack removing device cooperative control method and system, and relates to the field of logistics intelligent sorting, and the method comprises the steps: connecting a target auxiliary line-stack removing device which comprises a plurality of parcel transmission lines and a stack removing unit, obtaining the current transmission line speed and a unit time parcel quantity sequence, and obtaining a parcel quantity sequence; the current unit time parcel processing amount of the stack removing unit is obtained; obtaining a current entrance parcel backlog amount of the destacking unit, configuring a parcel backlog predictor, inputting the plurality of transmission line speeds, the plurality of unit time parcel amount sequences and the unit time parcel processing amount into the parcel backlog predictor, and obtaining an entrance parcel backlog prediction sequence; and when the maximum backlog amount is greater than or equal to a preset backlog threshold value, obtaining an optimized unit time parcel processing amount according to the plurality of transmission line speeds, the plurality of unit time parcel amount sequences and the entrance parcel backlog prediction sequence, and configuring a destacking unit. The problems that supply and demand of logistics sorting are not matched, response is not timely, and the sorting efficiency is low are solved.