1198results about How to "Easy to implement" patented technology

The invention relates to a dynamic adjust gyroscope life forecasting method based on gray model. By data collection of vibration effective value, random drift and environmental temperature parameter which are preprocessed using radial neural networks, influence of environmental temperature on vibration effective value and random drift is eliminated and random drift and effective value just related to time are obtained by subtracting drift constant value term, then trend term of vibration effective value and random drift are extracted by using wavelet transformation and gray model are built separately for their trend term. The smaller data in two values of life predicted of dynamic adjust gyroscope unless two predicted values exceeding performance parameter limitation when dynamic adjust gyroscope is considered losing effect. The invention uses performance parameter of life probative period of product to predict its life, showing discipline of performance parameter and life of dynamic adjust gyroscope. It is easy and convenient economical and reliable.

The invention provides a method for quickly establishing a three-dimensional near-seafloor speed model in a shallow sea area; the method comprises the following steps of extracting initial informationand extracting a common-center-point gather; calculating the slope of the initial travel time in the common-center-point gather; judging whether a shot point is located in the seawater layer or not,and if yes, correcting the shot point to the seafloor; calculating the speed and the depth of inflection points corresponding to respective offset distances; performing linear interpolation on the speed at each depth to obtain a one-dimensional speed model of the common center point; after all the common-center point domain gathers are processed, adopting the linear interpolation method, calculating the speed values of the rest grid points by utilizing the one-dimensional speed model of all common center points, and a speed model is output. By adoption of the method for quickly establishing the three-dimensional near-seafloor speed model in the shallow sea area, the influence of the seawater layer on ray propagation is overcome, and the influence of multiple excitation receiving modes on an inversion result is eliminated, and the problem that the conventional method needs to carry out multi-ray tracing forward modeling is avoided.

The invention discloses a deep tunnel surrounding rock mechanical parameter inversion method based on a three-dimensional brittle failure zone contour and sparrow optimization algorithm-information vector machine (SSA-IVM) combined optimization algorithm. The engineering technical problem that due to the fact that excavation instantaneous displacement is difficult to monitor, deep tunnel surrounding rock mechanical parameters are difficult to reasonably obtain through displacement back analysis is solved. The method comprises the following steps: firstly, constructing a tunnel FLAC3D numerical simulation model with the same ground stress condition at the occurrence position of a three-dimensional brittle failure zone; secondly, taking an absolute error between the total number of computational grid units in the actually measured brittle failure zone and the total number of computational grid units entering a plastic state in the range of the actually measured brittle failure zone after calculation of the FLAC3D numerical model as an optimization objective function; and then, by taking the tunnel surrounding rock mechanical parameters as optimization variables and taking a target function reaching a global minimum value as a target, performing global optimization by combining a tunnel FLAC3D numerical model and adopting an SSA-IVM joint optimization algorithm, thereby obtaining reasonable tunnel surrounding rock mechanical parameters.

The invention discloses a permanent magnet synchronous motor sensorless control method based on a dynamic position error. A transition stage is provided, per-unit estimation position errors between a first position error signal obtained based on a high-frequency signal injection method and a second position error signal obtained based on a sliding mode observer are compared, an optimal switching speed point is dynamically determined, smooth fusion is carried out on the two position errors by using a nonlinear weighting function, and the optimal switching speed point is obtained. And finally, the estimated position and rotating speed are obtained through a phase-locked loop. And finally, position tracking is carried out by adopting different error signals according to the estimated rotating speed. According to the method, the problem of estimation value pulsation and jump caused by the fact that a traditional method depends on fixed experience switching points is solved, smooth and self-adaptive switching of the two estimation methods in the full-speed domain range is achieved, the control precision and operation stability of the system are remarkably improved, the structure is simple, and engineering implementation is easy.

The utility model discloses an A / C swing head geometric accuracy detection device, and belongs to the technical field of A / C swing head geometric accuracy detection. An A / C swing head geometric accuracy detection device comprises a detection platform and a swing head assembly support, the swing head assembly support is provided with a bottom plate installed and connected to the detection platform and an installation vertical plate fixedly arranged on the bottom plate, and the installation vertical plate is provided with a detachable assembly adapter plate. The assembly adapter plate is provided with a mounting hole for assembling a to-be-detected swing head, the bottom plate is provided with adjusting assemblies capable of performing local top height fine adjustment on the swing head assembly support, and the adjusting assemblies are symmetrically distributed on the two sides of the mounting hole. The detection device can efficiently and accurately detect the geometric accuracy of the swing head.

The invention discloses an intelligent dynamic load balancing method and system based on Clico-VPP. The method comprises the following steps: acquiring a load state index of a back-end service pod; according to the load state index and a service capability coefficient corresponding to the back-end service pod, calculating a dynamic traffic allocation weight of the back-end service pod through a weighted calculation model; based on a dynamic threshold synchronization strategy, synchronizing the state of a first hash ring located in a control plane to a second hash ring located in a forwarding plane; and based on the second hash ring, determining a target pod for the input data stream through consistency lookup. A double-loop decoupling architecture is provided, hash rings of a control plane and a forwarding plane are separated, a synchronization strategy is determined through a dynamic threshold value, decision intelligence and forwarding stability are both considered, and jitter is avoided; meanwhile, a dynamic weight-driven consistent Hash algorithm is adopted, a real-time load index and Pod service capability are fused to calculate a dynamic weight, and the dynamic weight is mapped into the number of virtual nodes, so that intelligent scheduling based on capability and maximum maintenance of connection during capacity expansion and contraction are realized.

The invention provides a seawater soaking wound hydrogel dressing and a preparation method thereof, a drug-loaded nano system 4OI (at) ZIF-8 (at) PAD with a core-shell structure is constructed, an anti-inflammatory drug 4-octyl itaconic acid and zinc ions are jointly encapsulated in a ZIF-8 framework, and a polydopamine coating is wrapped, so that synergistic loading and controllable release of the drug and metal ions are realized. According to the dressing, dopamine modified hyaluronic acid is used as a matrix, a temperature-sensitive material and an enzyme catalysis cross-linking system are combined, stable gel can be rapidly formed in situ within 5 seconds, and the dressing has excellent tissue adhesion performance (the adhesion strength reaches 6.7 kPa). Experiments prove that the hydrogel dressing has the characteristics of broad-spectrum antibiosis, inflammation regulation and control and long-acting release. Animal experiments prove that the healing rate of seawater soaking wounds treated by the dressing on the twelfth day is as high as 95.7% and is remarkably superior to that of a commercial silver ion gel control group, scars are less after healing, and an efficient, safe and easy-to-implement scheme is provided for marine environment wound nursing.

The invention discloses an uplink and downlink combined wireless communication method and system based on channel semantic feature feedback. The method constructs an uplink and downlink closed-loop semantic communication architecture: a terminal side obtains a downlink channel matrix, generates a channel semantic feature vector through a channel semantic feature extraction network, inputs the channel semantic feature vector into a compression coding network to obtain a low-dimensional feedback code word, and sends the low-dimensional feedback code word to a base station side through an uplink limited feedback link; the base station side decodes and restores the low-dimensional feedback code word to obtain a reconstructed channel semantic feature vector, inputs the reconstructed channel semantic feature vector as prior information into a channel sensing sequence coding and modulation network, and generates a complex modulation signal under the condition of meeting the transmission power constraint; and the terminal side is combined with local channel information, and original data is recovered through a channel sensing demodulation network. Through joint optimization of the channel semantic feedback and the transceiver end-to-end transmission process, the channel state information feedback overhead is reduced under the constraint of limited feedback resources, and the transmission reliability and robustness in a complex channel environment are improved.

The invention discloses a voltage compensation method, a voltage compensation circuit and electronic equipment. The voltage compensation method comprises the following steps: acquiring bus voltage in a power switch circuit and energy storage current in an energy storage compensation circuit; obtaining a bus amplitude limiting voltage target value by using the bus voltage target value and the bias adjustment value, and subtracting the bus voltage from the bus amplitude limiting voltage target value to obtain a bus amplitude limiting voltage error value; performing proportional integral operation and amplitude limiting processing on the bus amplitude limiting voltage error value to obtain an energy storage current target value, and subtracting the energy storage current from the energy storage current target value to obtain an energy storage current error value; performing proportional integral operation on the energy storage current error value to obtain a current regulation output value; and a compensation control signal is obtained by using the current regulation output value and is used for triggering the energy storage compensation circuit to change the charging and discharging states, so that the bus voltage is compensated and regulated to a set threshold range. Through the above mode, the voltage compensation method can effectively stabilize the bus voltage within the set threshold range, and the control logic is simple.

The application relates to a heterogeneous feature clustering method based on a privacy image, characterized in that a diffusion generation process is converted from a pixel domain to a feature domain through a featureized noise and matrix matching technology, a to-be-trained diffusion generator model with a conditional denoising UNet architecture as a core is constructed, and training is conducted in combination with a sample-level consistency constraint and a distribution-level alignment constraint, then a feature pair with mutually aligned semantics is constructed by using a pseudo image generated by the trained diffusion generator model; subsequently, a variational autoencoder model is trained, cross-domain feature mapping is realized through a double-layer alignment loss, and finally a unified domain feature dataset is formed and clustering is conducted; the method has the advantages that cross-domain feature unification is completed under the premise that no source domain data and no paired samples are available, original image leakage is effectively avoided, a high-quality unified feature set can be directly output, and a safe and efficient solution is provided for cross-domain visual analysis under a privacy limited scene.

The invention discloses a robot anti-interference control method based on a neural network interference observer, and the method specifically comprises the following steps: 1, building a robot dynamics model containing external interference, and constructing a state space model; step 2, establishing a fixed time interference observer based on a radial basis function neural network, and performing external interference estimation on the robot kinetic model; and step 3, a fixed time sliding mode controller is designed based on the interference estimation result, and fixed time control under the condition of external interference is realized. According to the robot anti-interference control method based on the neural network interference observer, the interference is accurately and rapidly estimated by using the fixed time interference observer, the convergence of the system state in the fixed time is realized by combining the fixed time sliding mode controller, and the feedforward compensation and feedback suppression of the interference are combined, so that the system stability is improved. The method has the advantages of simple implementation mode, high interference estimation precision and high response speed.

The invention provides a lithium metal negative electrode protection layer, a preparation method and application thereof, and a lithium metal battery, and relates to the technical field of lithium metal batteries, the protection layer is formed on the surface of a metal lithium foil, and comprises a polymer and an inorganic substance; the polymer comprises polyvinylidene fluoride-hexafluoropropylene; the inorganic substance includes lithium phosphate. The components of the protective layer cooperate with each other, so that lithium dendrites can be physically inhibited, the first discharge specific capacity, the first coulombic efficiency and the cycle performance can be effectively improved, gas can be actively consumed, and the cycle stability and the safety performance of the lithium metal battery can be cooperatively improved from multiple dimensions; the technical problems that an existing protective layer cannot actively eliminate gas, the lithium dendrite inhibiting effect is poor, and the interface stability is poor are solved.

The application discloses a threshold segmentation method for an infrared small target background suppressed image, which realizes threshold segmentation of the infrared small target image after background suppression by calculating the similarity between a Gaussian filter template and an image block, fully utilizes the gray scale features and structural features of the small target, and accurately extracts all the small targets in the image. The application improves the problem that the traditional threshold segmentation method is prone to missing small targets in a multi-target detection task, realizes image segmentation with high detection rate and high real-time rate, provides guarantee for accurate detection of the infrared small target, and has the advantages of simple segmentation process, high efficiency and the like.

This invention discloses a method for fabricating a highly sensitive long-wavelength infrared superconducting single-photon detector. It fully utilizes and amplifies the acoustic mismatch effect between the superconducting thin film and the substrate to achieve phonon localization enhancement on the superconducting nanowires. The effect of this innovative design is to increase the energy utilization rate of long-wavelength infrared photons on the superconducting nanowires, thereby improving the response sensitivity of the superconducting nanowires to long-wavelength infrared photon signals. Compared to existing designs that reduce the cross-sectional size of the superconducting nanowires, create holes beneath the nanowires, or increase the buffer layer, this invention is easier to implement and has higher scalability.

The utility model relates to the technical field of mesh belt furnace, concretely to a conveying device suitable for mesh belt furnace extension, mistake-proof material mixing, including machine body frame, the utility model discloses the transmission reduction motor speed is changed through the adjustment motor speeder, and the transmission chain and the gear drive the conveyer belt transmission shaft rotation, make the conveyer belt speed close mesh belt speed of former station, and the workpiece is driven to the conveyer belt on the conveyer belt through the unpowered roller, when the workpiece is completely conveyed to the material receiving inductor position, the material receiving alarm will occur sound and light alarm prompt, and the operator comes over to receive the material, and the conveyer belt uses a period of time, can pass through the adjustment conveyer belt tensioning shaft adjustment conveyer belt tension, guarantee no skidding phenomenon, and the mesh belt furnace inlet end, when the first workpiece or material of batch enters the furnace, put a workpiece containing the isolation mark, press the batch into the furnace button, when the workpiece or material of batch is discharged, the last batch has all been discharged, and the material receiving alarm will always alarm prompt at this time.

A robustness measurement method for LeNet-5 networks based on adversarial boundary constraints is presented, relating to the field of deep learning model testing. The main steps include: for each training sample, dynamically generating adversarial examples based on the model's current state during training iterations; constructing a composite loss function based on standard cross-entropy loss and dynamic boundary constraint loss; performing end-to-end training on all parameters of the LeNet-5 network; and using the overall approximate robustness boundary as a measure of model robustness after training. This method effectively improves the resistance of the LeNet-5 model to fast gradient sign-based adversarial attacks without altering the basic structure of the LeNet-5 network by designing a new loss function.

The present disclosure relates to a fine bubble generation unit. More particularly, the present disclosure relates to a fine bubble generation unit, which is configured to enlarge the area of friction or collision of a fluid flowing inside a container or cause the fluid, while passing through the inside space of the container, to flow at different velocities in neighboring sections, so as to significantly improve, by a simple configuration, the generation capability and the sterilization power of fine bubbles having the micrometer or nanometer size.

This invention provides an adaptive AGC control circuit and method for broadband RF front-ends. The circuit includes: a gain tuning circuit connected to the RF link of the broadband RF front-end; and a signal detection circuit connected to the gain tuning circuit. The signal detection circuit is used to sample the RF signal in the RF link of the broadband RF front-end through an ADC, and to perform signal processing and gain control on the sampled RF signal based on an FPGA, thereby controlling the gain tuning circuit. This invention uses an FPGA+ADC hardware solution to achieve real-time detection and closed-loop fast control to realize adaptive AGC control of the broadband RF front-end, which has the following characteristics: 1. Simple circuit structure, clear logic, and easy implementation; 2. Real-time signal acquisition and processing with low state control delay; 3. High accuracy of dual-threshold signal detection and discrimination; 4. Flexible and controllable gain, and wide applicability.

The application provides a method for observing rotor flux of an alternating current motor, and belongs to the technical field of motor control. The method comprises the following steps: calculating rotor observation flux based on a first voltage-type flux calculation model and stator voltage and stator current in a two-phase static coordinate system; obtaining an amplitude deviation by subtracting the amplitude of the rotor rated flux from the amplitude of the rotor observation flux, and obtaining a deviation compensation quantity by multiplying the amplitude deviation by a proportional integral operation; and compensating and correcting the first voltage-type flux calculation model based on the deviation compensation quantity to obtain a voltage-type flux calculation model with compensation correction, so that the amplitude of the rotor observation flux converges. The application converges the rotor observation flux to the rotor given flux by connecting a correction link based on the traditional voltage-type flux calculation model, and finally realizes accurate flux position observation.

This invention relates to prism assembly and calibration technology. To address the problems of low assembly efficiency and inability to guarantee assembly accuracy in existing curved prisms, a method for aligning curved prisms is proposed. First, based on the relationship between the curved prism and the optical system, the position coordinates of the two theoretical sphere centers of the curved prism are calculated. Then, the position coordinates of the two sphere centers are located using a coordinate measuring system, and target balls are placed at the corresponding position coordinates of the two theoretical sphere centers. A first centering instrument and a second centering instrument are used to align the target balls at the position coordinates of the two theoretical sphere centers, and then the first and second centering instruments are fixed. The target balls at the position coordinates of the two theoretical sphere centers are removed, and the curved prism is installed into the optical system. The curved prism is adjusted, and the two actual sphere centers on the curved prism are observed through the first and second centering instruments until the two actual sphere centers coincide with the two theoretical sphere centers, thus completing the assembly and calibration of the curved prism.

The embodiment of the invention discloses a data transmission method, a data transmission device and a data transmission system, which can be compatible with the existing 400ZR +, 800ZR and 800ZR + DSP (Digital Signal Processor) framing scheme, are more beneficial to hardware implementation, and can also be suitable for scenes adopting multi-wave or multi-subcarrier transmission in the future, such as 800Gbps multi-subcarrier transmission adopting QPSK (Quadrature Phase Shift Keying) modulation, 1.2 Tbps multi-subcarrier transmission adopting 16QAM (Quadrature Amplitude Modulation) modulation and 1.6 Tbps multi-subcarrier transmission adopting 16QAM modulation. And even transmission scenes with higher speed such as 2.4 T / 3.2 T and the like can be realized. The method comprises the steps that W data frames are sent, in one polarization direction, the number of symbols included in any data frame is 87552, each data frame comprises 12 subframes, the number of symbols included in each subframe is 7296, and W is an even number.

The present disclosure provides a time division duplex based semantic data transmission method and related equipment. The method comprises: a base station modulating and processing first user data corresponding to semantic data to obtain a first modulation sequence; the base station determining a first number of time-frequency resource blocks required for mapping the first modulation sequence to a first time-frequency resource; the base station judging whether the mapping of the first modulation sequence to the first time-frequency resource spans a time slot to obtain a first time slot span judgment result; the base station mapping the first modulation sequence to a first time-frequency resource with a first number of time-frequency resource blocks based on the first time slot span judgment result to obtain a first time-frequency signal, and sending the first time-frequency signal to a user terminal through a downlink; and the user terminal mapping the second modulation sequence to a second time-frequency resource with a second number of time-frequency resource blocks based on a second time slot span judgment result to obtain a second time-frequency signal, and sending the second time-frequency signal to the base station through an uplink.

The application relates to the technical field of carbon dioxide electro-reduction catalysts, and discloses a preparation method of a supported copper nitride catalyst, which comprises the following steps: mixing copper cyanamide and conductive carbon material and performing ball milling; the rotating speed of the ball milling is 500 r / min-5000 r / min, and the ball milling time is 1h-24h; the mass ratio of the copper cyanamide and the conductive carbon material is 1-10:1-10. The catalyst obtained by the method has better stability, selectivity and activity in a carbon dioxide electro-catalytic reduction reaction, and the addition of the conductive carbon improves the conductivity of the catalyst, so that the overpotential of the catalyst in the carbon dioxide electro-reduction is significantly reduced.

The application discloses a high-temperature and high-pressure combustion chamber spectrum characteristic transmission device based on a special optical fiber probe head, which comprises an optical fiber probe head, a light guide optical fiber, a light emitting characteristic analysis device and a cooling liquid pump; the optical fiber probe head comprises high-transmittance optical glass, a metal cooling sleeve and an optical flange; the high-transmittance optical glass can transmit ultraviolet-visible light with a wavelength of 100-760 nm; the metal cooling sleeve comprises a cylindrical sleeve and a connecting cap; the cylindrical sleeve is coaxially arranged on the outer periphery of the high-transmittance optical glass and is sealingly arranged in a probe head mounting hole; the light guide optical fiber can collect the ultraviolet-visible light transmitted through the high-transmittance optical glass and is connected with the light emitting characteristic analysis device; and the cylindrical sleeve and the connecting cap are both provided with cooling channels connected with the cooling liquid pump. The application can analyze the chemical reaction light emitting characteristics in the high-temperature and high-pressure combustion chamber in real time, is especially suitable for monitoring the spontaneous radiation characteristics of OH*, CH* and C2* groups generated in the combustion process, and thus can determine the reaction region and the reaction heat release.

This utility model discloses a monitoring and command system based on BeiDou and a self-organizing network, including a BeiDou self-organizing network monitoring and command terminal and multiple BeiDou self-organizing network terminals. The BeiDou self-organizing network monitoring and command terminal serves as the central node, and the BeiDou self-organizing network terminals serve as sub-nodes. The BeiDou self-organizing network terminals communicate with the monitoring and command terminal via BeiDou or a self-organizing network. The system combines BeiDou positioning, BeiDou short message service, and self-organizing network communication. Self-organizing network communication is used for short and medium distances, while BeiDou communication is used for long distances. This system is simple to implement and makes full use of the resources, leveraging the respective advantages of self-organizing networks and BeiDou communication, while simultaneously fulfilling its monitoring and command functions. This system has a wide range of applications, including emergency command, industrial monitoring, outdoor activities, and military operations.

This invention discloses a deep trench isolation structure for a CIS (CMOS Image Sensor), comprising: a deep trench formed by plasma etching of a first surface of a first semiconductor substrate, wherein the inner surface of the deep trench has interface defects generated by plasma etching; a first semiconductor epitaxial layer, a second dielectric layer, and a third conductive material layer formed in the deep trench; and a fourth conductive material layer formed in a portion of the deep trench closest to the peripheral region; the fourth conductive material layer being connected to an external electrode; the external electrode being connected to an external control module, which provides an external voltage to each of the third conductive material layers to modulate the interface states of the inner surface of the deep trench, thereby eliminating the adverse effects of interface defects on the interface states. This invention also discloses a method for manufacturing the deep trench isolation structure for a CIS. This invention can modulate the interface states at the interface between the deep trench isolation structure and the semiconductor substrate, optimizing the interface states and thereby reducing dark current and white pixels.

The application provides a Hall thruster net sputtering deposition rate measurement method and system, and relates to the technical field of thrusters, comprising: obtaining a first initial mass corresponding to a first test piece, a second initial mass corresponding to a second test piece, and a ring cylinder initial mass corresponding to a thin-walled ring cylinder placed at the same height of the Hall thruster; obtaining a first final mass corresponding to the first test piece and a ring cylinder final mass corresponding to the thin-walled ring cylinder in the case that the Hall thruster is operated based on a first measurement condition; obtaining a second final mass corresponding to the second test piece in the case that the Hall thruster is operated based on a second measurement condition; and determining a net sputtering deposition rate measurement result corresponding to the Hall thruster based on the initial masses and the final masses. The application can simplify the measurement process of the net sputtering deposition amount and the required equipment requirements, and improve the measurement accuracy of the net sputtering deposition amount.

The invention provides a grouting device and a gypsum board production system. The grouting device comprises a first grouting pipe and a second grouting pipe, wherein the first grouting pipe is connected to the slurry mixing machine and is suitable for applying first slurry; the grouting device comprises a first grouting pipe and a second grouting pipe, the second grouting pipe is arranged on the downstream portion of the first grouting pipe and connected to a slurry mixing machine so as to be suitable for applying second slurry to the first slurry, and the grouting device is configured to reduce or eliminate the scouring effect between the second slurry and the first slurry. According to the grouting device disclosed by the invention, on the basis of the principle of forming a shoe washing phenomenon, the scouring effect on the first slurry in the second slurry injection process is effectively reduced or eliminated by improving the structure of the grouting device, and a solution which is easy to implement, reliable and effective is provided under the condition that raw materials are not changed; and the performance quality and the appearance quality of a gypsum board product are ensured.

The application discloses a hot-rolled perforated L80-13Cr steel grade oil jacket guide disc free-sticking steel construction method and system, relates to the hot-rolled seamless steel pipe technology field, and systematically solves the guide disc sticking steel problem through sequentially performing the steps of reforming the guide disc cooling water pipeline, adjusting the guide disc height deviation, inserting the carbon steel pipe blank, optimizing the guide disc rotating speed and using the old guide disc rolled through the carbon steel product. The application effectively improves the product outer surface quality, realizes batch continuous production of the L80-13Cr steel grade oil jacket, and significantly improves the yield.

The embodiment of the present disclosure provides a data processing method, device, electronic equipment, storage medium and product. The data processing method comprises: in a preheating stage of an engine, instantiation of the engine is performed through a string in an engine file to obtain an engine instance, the engine file comprises a front-end interface file in a first format, and the front-end interface file comprises a string after encoding an engine logic file in a second format; in a stage of loading multimedia data in the front end, the engine instance is acquired; and the multimedia data is run based on the engine instance. In the preheating stage, instantiation of the engine is directly performed based on the string in the front-end interface file, and execution of the engine logic file in the second format is realized. In the stage of loading the multimedia data, the multimedia data is directly run based on the preheated engine instance.