113results about How to "Overcome dependence" patented technology

The invention discloses a robust controller of a permanent magnet synchronous motor based on a fuzzy-neural network generalized inverse and a construction method thereof. The construction method of the invention comprises the following steps of: combining an internal model controller and a fuzzy-neural network generalized inverse to form a compound controlled object; serially connecting two linear transfer functions and one integrator with the fuzzy-neural network with determined parameters and weight coefficients to form the fuzzy-neural network generalized inverse, serially connecting the fuzzy-neural network generalized inverse and the compound controlled object to form a generalized pseudo-linear system, linearizing a PMSM (permanent magnet synchronous motor), and decoupling and equalizing the linearized PMSM into a second-order speed pseudo-linear subsystem and a first-order current pseudo-linear subsystem; and respectively introducing an internal-model control method in the two pseudo-linear subsystems to construct the internal model controller. The robust controller of the invention has the advantages of overcoming the dependence and local convergence of the optimal gradient method on initial values and solving the problems of randomness and probability caused by using the simple genetic algorithm, obtaining the high performance control, anti-disturbance performance and adaptability of the motor and simplifying the control difficulty, along with simple structure and high system robustness.

The invention discloses a multiple combination optimization overhead transmission line operation risk informatization assessment method which comprises the steps that 1. risk identification is carried out, wherein by data collecting, a fault source is found, a risk accident set is generated, an uncertain risk factor set is analyzed in a statistic mode, and a risk evaluation index system is established; 2. an integrated risk value is determined, a transmission line operation risk assessment model is established, information entropy and an analytic hierarchy process are fused, risk probability, consequences generated by risks and risk weight are considered in a comprehensive mode, risk consequence severity is quantized through a mutual information value, and a transmission line operation integrated risk value is computed in a layer-by-layer-reasoning mode and a multiple-combination mode; and 3. risk determining is carried out, risk grades are divided, analyzing is carried out on the integrated risk weight, the risk grades are determined, and the results of risk assessment are output. According to the method, the overhead transmission line operation risk is assessed in a comprehensive mode and a multilevel mode, and the accuracy of transmission line operation risk assessment and the reliability of transmission line operation are improved.

An automatic satellite assembly platform is composed of three parts: an assembly positioning mechanism, an interface attitude capture device and a control box. In the present invention, the laser displacement sensor uniformly arranged at the satellite docking frame of the interface attitude capture device can accurately measure the relative displacement with the satellite interface adapter when the satellite is hoisted, and the load-bearing sensor uniformly arranged at the satellite docking frame of the interface attitude capture device realizes The measurement of the center of mass of the satellite; the elevator and the inclination sensor set in the assembly positioning mechanism realize the automatic leveling of the platform; the circular slewing support is set in the assembly positioning mechanism so that the satellite automatic assembly platform has the function of a precision turntable, which can make the satellite Precise rotation on the carriage, the accuracy can reach 1'. The satellite automatic assembly platform of the present invention can adapt to the use requirements of different satellites by replacing the satellite interface adapter.

The invention relates to a voice converting system and method using blind voice separation. The voice converting method comprises the steps of: applying a blind voice separation method which combines sub-band decomposition with ICA (Independent Component Analysis) in a voice input module at the front end of the voice converting system to separate a mixed signal including background noise and expected voice, and converting the expected voice obtained through separation and subjected to an unequal-length framing process to realize conversion of specific voice of people in a noise environment.

The invention discloses a transfer learning-based hyperspectral image super-resolution method, which mainly solves the problem that a deep neural network cannot be trained due to excessively less training data of an original hyperspectral image, improves spatial identification of the hyperspectral image, and solves the problem of spatial resolution limitation of the hyperspectral image. The method mainly comprises the steps of (1) training a convolutional neural network in a natural image database, and learning a mapping relationship between a low-resolution image to a high-resolution image; (2) on a tested hyperspectral image, generating the corresponding high-resolution image waveband by waveband according to the learnt deep neural network; (3) establishing co-matrix decomposition and performing same ground object restriction on the low-high-resolution images; and (4) reconstructing a super-resolution hyperspectral image. According to the method, spectral information of the super-resolution image is kept to the maximum extent; and the method can be used in the fields of remote sensing ground object observation, military reconnaissance, assistance in criminal investigation and the like.

The invention relates to a support vector machine inverse-based bearingless asynchronous motor control system. According to the system, two Park<-1> conversions, two Clark <-1> conversions, two current hysteresis PWM (Pulse Width Modulation) inverters and a bearingless asynchronous motor form a composite controlled object; and the support vector machine inverse of the composite controlled object is created by the support vector machines and integrators through least squares offline learning; the support vector machine inverse and the composite controlled object are connected in series to form a pseudo-linear system which is formed by two linear radial displacement subsystems, a speed subsystem and a magnetic linkage subsystem and is subjected to closed-loop compound control in a multi-internal-model switching manner. The control system provided by the invention can identify real-time equivalent models of the controlled object at improved dynamic response speed and steady state control accuracy, has high robustness against external disturbance and motor parameter variation, and can realize the high-performance dynamic decoupling control of all controlled variables of the bearingless asynchronous motor.

The invention relates to a method for optimized dispatching in the raw material evaporation process of chemical production and belongs to the technical field of intelligent optimized dispatching in the chemical production process. The method comprises the steps that a dispatching model and an optimization goal in the raw material evaporation process are determined and the optimization goal is optimized through the optimized dispatching method based on the self-adaptation estimation of distribution algorithm; the dispatching model is established according to the earliest completion time of raw materials machined through evaporating devices and the optimization goal is the minimized earliest completion time. By the adoption of the method for optimized dispatching in the raw material evaporation process of chemical production, the expression of the raw material evaporation process of chemical production is clear and accurate; the EDA has the self-adaptive learning capacity; the EDA can effectively overcome the shortages of sensitivity to the learning speed and dependence on the learning speed; excellent individual information is fully utilized to guide the searching direction, so that the searching width and the searching depth of the algorithm are reasonably balanced, and the quality of a solution is effectively improved.

The invention discloses a water storage power generation system using seabed pressure energy. The power generation system comprises a storage container, a seawater pumping energy accumulation unit and a pressure pipe; the storage container is arranged on a seabed, and includes a first opening end; the first opening end is connected to the pressure pipe; a valve is arranged on the pressure pipe; and the seawater pumping energy accumulation unit is arranged on the seabed, is connected to the pressure pipe, and includes fluid machinery connected with the pressure pipe and a motor / generator in transmission connection with the fluid machinery. The power generation system realizes electric energy storage by using a pressure difference in the seabed and the storage container without constructing high and low impounding reservoirs and being limited by geographical conditions; and the system uses seawater as a working medium for solving the dependency problem of traditional water pumping energy accumulation on fresh water resources. The system is suitable for power supplies with various types, environment-friendly and broad in application prospect.

The present invention discloses a fuzzy neural network data mining method based on particle swarm optimization. The method comprises the following steps: cleaning and selecting power data; carrying out enhancement processing on the selected data, and converting the processed data into a form suitable for a neural network model; randomly dividing the obtained data into three data sets: a training data set, a test data set and a confirmation data set, wherein the first two data sets are used to train the neural network, and test the accuracy of the network to construct the neural network model,and the confirmation data set tests the network independently; determining the fuzzy neural network learning algorithm and training the fuzzy neural network; extracting rules from the trained fuzzy neural network; and evaluating the extracted rules. The method is more efficient in mining data in the cockpit of the power system, ensures to obtain optimal power system data mining results, provides decision support for dispatchers and managers, and ensures safe, stable, high-quality and cost-effective running of the power system.

The invention provides a federated learning-oriented decentration function encryption privacy protection method and system. The method comprises the following steps of: obtaining an initial model, a public data set, an encryption label, an encryption prime number, an encryption weight and a weight vector parameter sent by a server; training the initial model according to the local data set to obtain a local model, and testing the local model according to the public data set to obtain model accuracy; generating an encryption private key and a partial decryption key according to the encryption prime number, and performing function encryption on the local model according to the encryption private key and the encryption label to obtain an encryption model; and sending the encryption model, the partial decryption key and the model accuracy to a server, so that the server performs decryption aggregation on the encryption model according to the partial decryption key, the encryption label, the encryption weight and the model accuracy to obtain a global model. The method ensures that the server cannot obtain the local model of the user, effectively prevents the collusion attack between the third party and the server, and improves the privacy protection strength and the service effect.

This invention is for a kind of the security pulse generator and methods, which are applied in the fuel dispensers. Said fuel dispenser comprises a flow measuring transducer and a control main board on which there is a measuring microprocessor on the control main board. Said security pulse generator includes: a pulse signal generating component, which generates the corresponding pulse signal according to the rotation of the flow measuring transducer; An encoding microprocessor, which receives and transduces said pulse signal, transmit it to said control main board, and in the meanwhile it encodes said output pulse signal. A measuring microprocessor, which receives and decodes output pulse number encoded data from said encoding microprocessor and transforms it to the output pulse number after decoded it, then to compare it to the pulse number of the control main board to determine if there is suspecting frauds in the fueling process.

The invention relates to a traffic accident prediction method based on a space-time diagram convolutional network, which mainly combines the diagram convolutional network and a long-short-term memory network to respectively obtain space information feature extraction and time sequence information feature extraction of an actual traffic road network, fully considers traffic information data such as time, weather and interest points and constructs a topological structure of a road network by adopting a region division method; firstly, a regional road network is constructed into a graph structure, a graph convolutional network is used for learning a complex road network topological structure to obtain spatial correlation in a traffic state, and then a long-short-term memory network is used for learning dynamic changes of traffic accident data to obtain temporal correlation in the traffic state; and finally, the two networks are combined to construct a prediction model, and the traffic accident is predicted based on the prediction model so as to improve the prediction performance of the traffic accident.

The invention discloses a method and a device for removing polychlorinated biphenyls (PCBs) in bottom mud through cathode anaerobism / anode aerobiosis coupling stimulated by a micro electric field. The device comprises an anode chamber and a cathode chamber, wherein the anode chamber and the cathode chamber are separated through a cation exchange membrane; graphite particles are uniformly distributed in the anode chamber and the cathode chamber; an anode electrode is modified through a high-performance catalytic oxygen-producing material; and a cathode electrode is modified through a high-performance catalytic hydrogen-producing material. The device for removing PCBs in bottom mud through utilizing the device comprises the steps of (1) inoculating the anode chamber with bottom mud containing aerobic dehalogenation bacteria, adding low PCBs, an electron donor and a nutrient solution; (2) inoculating the cathode chamber with mixed sludge containing anaerobic dechlorinating bacteria, and adding high PCBs; and (3) connecting an external circuit, and starting an operation device, so as to synchronously degrade PCBs through anaerobic-aerobic coupling. According to the method, operation is simple, economy and applicability are achieved, and secondary pollution is avoided.

The invention discloses an Internet of Vehicles remote intelligent vehicle locking function emergency unlocking control method, relates to the technical field of engine control, and solves the technical problem that existing emergency unlocking excessively depends on a terminal and a CAN network. The method comprises the following steps: S1, monitoring the operation state of a vehicle in real time, and if the operation state of the vehicle meets an emergency unlocking request, executing the step S2; S2, judging whether an emergency unlocking condition is met or not, if the emergency unlockingcondition is met, completing emergency unlocking, adding the number of continuous use times by one, adding the number of lifelong use times by one, starting to record the unlocking time; otherwise, failing the emergency unlocking and quitting; and S3, judging whether an emergency unlocking quitting condition is met or not; and if the emergency unlocking quitting condition is met, quitting the emergency unlocking state. Emergency unlocking is carried out by judging the operation state of the vehicle, and the problem that the vehicle is unstable due to the fact that the vehicle excessively depends on a terminal and a CAN network can be effectively solved.

The invention discloses an optimal well-location deployment method and device aiming at a small fault block reservoir, and belongs to the technical field of petroleum exploitation. The optimal well-location deployment method comprises the steps that 1, the proportion of injection-production units in a block is determined; 2, the geometric boundary of the block is extracted; 3, an initial well location is determined in the geometric boundary of the block; 4, on the basis of the initial well location, the injection-production units are added one by one, and the well locations of the newly-addedinjection-production units are optimized until the recovery ratio or the net present value is no longer increased; and 5, the most proper number of the injection-production units is selected accordingto the relation curve and the actual target between the number of the injection-production units and the recovery ratio. According to the optimal well-location deployment method and device, convergence is good, factors such as the plane geometric shape of a fault block, the size of the fault block, spatial distribution characteristics of an oil sand body, heterogeneity of a reservoir stratum, anddirectionality of the permeability are fully taken into account, and the recovery ratio or the net present value of the reservoir can be increased.

The invention discloses a 3D target detection and tracking method based on a camera and a laser radar. The method comprises the following steps: firstly, performing target detection on an image acquired by a camera to obtain a 2D detection frame and assign a number; meanwhile, carrying out feature point detection, descriptor extraction and feature point matching on the image; then, performing ground segmentation on the point cloud data, and projecting the non-ground point cloud into a corresponding image according to the external parameters of the laser radar and the camera; then, screening and clustering the point clouds according to the 2D detection frame in the image to obtain an object 3D detection frame; and finally, according to the matched feature points, performing matching association on the detection frames of the front and rear frames of images, and replacing numbers to realize 3D tracking of the object. According to the method, the advantages of the laser radar and the camera data are fully fused, the defects that the laser radar classification capability is weak and the camera lacks depth information are overcome, 3D target tracking of the object is realized, and the method can be used for unmanned 3D target detection and tracking tasks.

The invention discloses a compliant mechanism 0-1 variable configuration type topology graph extraction method, comprising the steps of establishing a first layer compliant mechanism topology optimization model; optimizing the topology optimization model and extracting a topology graph containing middle units; further optimizing the compliant mechanism topology optimization model containing the middle units and extracting a compliant mechanism 0-1 topology graph; establishing a next layer compliant mechanism topology optimization model, optimizing the model, gradually approximating the optimum resolution in a mode of continuously increasing a volume constraint value of the topology optimization model, and finally extracting an ideal compliant mechanism 0-1 variable configuration type topology graph satisfying target volume. According to the method, a volume constraint prolongation method is employed; the optimum resolution is gradually approximated in the mode of continuously increasing the area constraint value of the topology optimization model, all possible units are reserved to the greatest extent, and the compliant mechanism 0-1 variable configuration type topology graph is extracted.

The invention is suitable for the technical field of curved steel plate production and discloses a curved steel plate forming method and curved steel plate forming equipment. The curved steel plate forming method comprises the following steps: designing a three-dimensional model of a curved steel plate as well as the initial shape and size of the steel plate unfolded to be in a planar state, arranging a supporting adsorption platform part on one side of the steel plate, arranging a punching head on the other side of the steel plate, determining the position and downward pressing quantity of the punching head according to the section profile shape of the steel plate, and pressing the steel plate downwards. The curved steel plate forming method is adopted in the curved steel plate forming equipment. According to the curved steel plate forming method and the curved steel plate forming equipment which are provided by the invention, the complicated curved steel plate such as the complicated curved surface of a ship body can be progressively formed, the flow process is simplified, the forming process is automated, the production efficiency is greatly improved, the dependence on the experience of workers is effectively reduced, the production process is free from dust and smog, waste gas and waste water cannot be generated, the environment is protected, and the labor intensity of the workers is greatly reduced.

The invention provides an equipment security detection method and device. The method includes the steps that detection data for carrying out security detection on detected equipment is acquired, wherein the detection data comprises audio signals, inclination angle signals and / or vibration signals, and whether the detected equipment is in a dangerous state or not is determined through the detection data; if the detected equipment is in the dangerous state, alarm information is output. Detection can be carried out based on the audio signals, the security of the equipment can be detected based on at least one of the audio signals, the inclination angle signals and the vibration signals, the audio signals, the inclination angle signals and / or the vibration signals can be synchronously detected, and when one meets the condition of outputting the alarm information, the alarm information is sent. Due to the fact that multiple factors such as voice, the inclination angle and vibration are fused in the detection process, the problem generated due to single dependence on a vibration sensor in the prior art is solved, and the detection accuracy is high.

The invention provides a pair of double-layered cavity type liquid color-change glasses. The pair of double-layered cavity type liquid color-change glasses comprises a glasses frame, lenses, colorless fluid executing mechanisms, colored fluid, colorless fluid, elastic thin films, colorless fluid cavities, colored fluid cavities and elastic colored fluid storage cavities, wherein the inner part of each lens is composed of one colorless fluid cavity, one colored fluid cavity and one elastic thin film, and the colorless fluid cavity and the colored fluid cavity are separated by the elastic thin film; the colorless fluid executing mechanisms are mounted on the two sides of two glasses legs of the glasses frame; the colorless fluid is stored in the colorless fluid executing mechanisms and the colorless fluid executing mechanisms are connected with the colorless fluid cavities by pipelines; the elastic colored fluid storage cavities are mounted on the inner sides of the two glasses legs of the glasses frame; the colored fluid is stored in the elastic colored fluid storage cavities; and the elastic colored fluid storage cavities are connected with the colored fluid cavities by pipelines. According to the double-layered cavity type liquid color-change glasses, the circulating flowing of the colored fluid between the lenses and the storage cavities is controlled by the deformation of the thin films, caused by the pressure change of the colorless fluid in the cavities, so that the colors of the lenses are changed.

The invention discloses a fuzzy neural network inverse robust controller of an induction motor speed regulation system and a construction method. The construction method comprises the following steps: using an inverter, an induction motor and a load as a whole to form an induction motor speed regulation system; connecting a fuzzy neural network inverse in the front of the induction motor speed regulation system in series to together form a reduced integration type speed pseudo-linear system; designing a robust controller for the obtained speed pseudo-linear system; and connecting a fuzzy neural network inverse and the robust controller to form a fuzzy neural network inverse robust controller so as to realize the high-precision robust control of the induction motor speed regulation system. The fuzzy neural network inverse robust controller can restrain parameter perturbation and load mutation, overcome unmodeled dynamic interferences, be used for designing a new control scheme of the induction motor speed regulation system and have wide application prospect in the reconstruction of an old induction motor speed regulation system. A control code of the system can be conveniently transplanted in various control chips, thereby greatly shortening a development period.

A heat accumulating gasifier for liquefied natural gas is disclosed. The natural gas generated by evaporation of liquefied natural gas in storage tank is burning at the bottom of gasifier. The heat generated by said combustion is transferred via heat exchanger to the heat accumulating medium. The accumulated heat is then used to gasify the liquefied natural gas. Said gasifier is composed of a heat exchanger, an insulating gasifying case containing said heat exchanger and divided into the gasifying cavity containing showering tube of liquefied natural gas and natural gas collecting tube and the heat accumulating cavity full of heat accumulating medium, and an igniter.

The invention discloses a method for transforming stem tips of plants and a special tool thereof. The method for cultivating a transgenic plant comprises the following steps of: 1) puncturing a growing point of a stem tip of a target plant by using a metal brush to obtain a treated target plant; 2) impregnating the treated target plant obtained in step 1) by using a bacterial liquid containing target deoxyribonucleic acid (DNA) to obtain an impregnated seedling; and 3) sequentially coculturing and continuously culturing the impregnated seedling obtained in 2) to obtain the transgenic plant containing the target DNA. Through the experiment, a set of efficient and quick plant transformation system is established by taking meristems of stem tips of seedlings of a monocotyledon, namely wheat and a dicotyledon, namely Salicornia europaea as transformation receptors of Agrobacterium tumefaciens respectively and adopting measures such as retrofit of stem tip damage tools, research on the seedling ages of the seedlings, vacuum-assisted infiltration treatment, application of infiltration promoters and the like, so that the transformation efficiency of the stem tips is improved.

The invention discloses a method for extracting a 0-1 topological graph of a compliant mechanism. By continuously reducing an available material domain of a topological optimization model, the optimal solution is gradually approached, and the ideal 0-1 topological graph of the compliant mechanism is finally extracted. The method can effectively solve the problem of temporary location in loosening of a design variable based on an SIMP method. Completely different from a traditional progressive topological optimization method, the method has the advantages that design variables are continuous, sensitivity and continuity are fine, the conception is simple, the method is easily executed, checkerboards are not easily caused, the defects of parameter sensitivity and mesh dependency of a traditional method are overcome, and the method has fine convergence stability.

The invention provides a map road network fusion updating method and system based on big data mining. Dependence on field data surveying and mapping or floating car access by current map road networkupdating can be overcome. The method comprises mining road network updating information from a mining website library according to a preset mining strategy; further automatically performing preliminary screening according to a preset preliminary screening strategy to obtain effective update information, and then sequentially performing road network update information data fine screening arrangement, road network vector and rule attribute data update, road network differential fusion update and map data release update on the effective update information to realize update of the website map. Byadopting the updating method provided by the invention, the opening or updating information of all road networks can be quickly and comprehensively mined through the Internet, and is updated to the map data at the first time after data processing, so that the problem that the current map road network updating depends on field data surveying and mapping or floating car access is solved.

The invention discloses a manufacturing method of a fuzzy neural network generalized inverse controller on a radial position of a bearingless asynchronous motor, and the manufacturing method comprises the following steps that a fuzzy neural network with six input nodes and two output nodes and four linear links are used for forming a fuzzy neural network generalized inverse with two input nodes and two output nodes, each parameter and each weight coefficient of the fuzzy neural network are adjusted to make the fuzzy neural network generalized inverse realize a generalized inverse system function of a composite controlled target; the fuzzy neural network generalized inverse is serially connected in front of the composite controlled target to form a generalized pseudo-linear system; and the fuzzy neural network generalized inverse is serially connected in front of the composite controlled target, the fuzzy neural network generalized inverse, a Park inverter, a Clark inverter and a current tracking-type inverter collectively form the controller to realize the open-loop linear control of the nonlinear system on the radial position of the bearingless asynchronous motor, and the stable suspension running of the bearingless asynchronous motor can be guaranteed without designing a complicated closed-loop controller.

A charge pump circuit includes MOSFETs and MOS capacitors formed on the same substrate. Each of the MOS capacitors has a multiplicity of first electrodes formed in one region of the substrate, insulating layers formed on / above respective substrate regions between neighboring first electrodes, each layer covering at least the respective substrate region, and a multiplicity of second electrodes formed on / above the respective insulating layers. The MOS capacitors have improved frequency response.

The invention discloses a virtual-channel low-power circuit applied to a network-on-chip. The virtual-channel low-power circuit is characterized by comprising a clock anticipation on / off module composed of a clock enabling generation module and a clock gating generation module and a cache segmentation gating module composed of a read-write signal control module and a segmented clock gating module. According to the virtual-channel low-power circuit applied to the network-on-chip, the utilization rate of single virtual-channel cache can be increased, the problems of depending on software monitoring and being tight in timing are avoided, power of input cache in the network-on-chip is reduced, the whole Noc power is reduced, and correct transmission of data is guaranteed.

The invention discloses a safety management method for spacecraft orbit control pipeline pressure, which manages the pressure of a spacecraft orbit control pipeline by adopting a method of combining two measures of heating the orbit control pipeline to reduce the pressure of the orbit control pipeline and autonomously releasing pressure, and controls the pressure of the orbit control pipeline to be within a safety range. The method comprises the following implementation steps: (1) designing an independent heating loop for a rail control pipeline and implementing the independent heating loop; (2) formulating an automatic valve opening and pressure relief strategy of the rail control pipeline; (3) opening an orbit control management valve to heat the orbit control pipeline after propellant filling of the orbit control pipeline or working shutdown of an orbit control engine; (4) after heating to a set temperature, closing a heater and an orbit control management valve; and (5) operating arail control pipeline autonomous pressure relief strategy. The method is used for safety management of the pressure of the spacecraft orbit control pipeline, it can be guaranteed that the pressure ofthe orbit control pipeline does not exceed a safety threshold value, product safety is guaranteed, the opening and closing action frequency of the orbit control management valve is reduced, and product reliability is improved.