2036results about How to "Get rid of dependence" patented technology

The invention belongs to the satellite navigation and positioning technical field and discloses a low earth orbit satellite-based satellite-earth differential real-time precise positioning method. A low earth orbit satellite is utilized to broadcast the observation data and real-time orbit data of the satellite-borne GNSS (Global Navigation Satellite System) receiver of the low earth orbit satellite to the ground; and after receiving the differential information broadcasted by the low earth orbit satellite, a ground receiver generates a double-difference observation value consisting of the differential information and a local GNSS observation value and performs pseudorange-based moving base station DGNSS (Differential Navigation Satellite System) positioning and carrier phase-based moving base station RTK (Rea-time kinematic) positioning. According to the positioning method of the invention, the global mobile low earth orbit satellite platform is adopted as a reference station, so that real-time precision differential positioning service in the whole world can be realized, and the method does not depend on the distribution of ground reference stations; and a user can realize differential real-time precise positioning just through using a single receiver, and therefore, the method is free of operating range restrictions, and data communication links are not required to be considered.

The invention relates to a device and method for measuring arterial blood pressures based on pulse wave signals and electrocardiosignals, wherein the device comprises a microprocessor, a pulse wave signal measuring unit, an electrocardiosignal measuring unit, a communication module, a data storage module and an LCD (liquid crystal display) module, and the microprocessor is respectively connected with the pulse wave signal measuring unit, the electrocardiosignal measuring unit, the communication module, the data storage module and the LCD module by control lines. The device provided by the invention is small in size, therefore, the device is suitable to be worn for non-intrusively and continuously detecting and recording the blood pressure values for a long time. Compared with the existingblood pressure measurement techniques, the device and method provided by the invention have the advantages that in the process of blood pressure measurement, the dependence on an inflated cuff is ridded; and meanwhile, the blood pressure calculation method applied to the device is small in computation load, and can be implemented by the microprocessor with a limited computational capability, therefore, the device is low in cost and easy to use.

The invention relates to a failure detection and fault tolerance method and a failure detection and fault tolerance system for a real-time cloud platform. The system comprises a client used for sending a command, summiting a task and storing tasks assigned to working nodes in corresponding paths, a global state monitoring module used for monitoring the operation state of the working nodes, carrying out node-level failure detection and fault tolerance according to heartbeat information uploaded by the working nodes and performing migration of a task in a failure node, a global state storage module used for storing the working state and heartbeat information of the global state monitoring module and the working nodes, and working nodes used for performing a task, running a daemon process to guard a work process and performing program-level failure detection and fault tolerance. State information of a whole cluster is all stored in a Zookeeper system, a stateless architecture of the nodes is realized, a node failure does not cause state loss, the system has a perfect failure detection and fault tolerance mechanism, multilevel fault tolerance is realized, and uninterrupted operation of real-time services is guaranteed.

The invention discloses a dynamic trusted measurement method and a safe embedded system. The method comprises the following steps that: S1. a hardware layer redesigns a trusted BIOS (Basic Input Output System) by a TPM (Trusted Platform Module) chip and traditional hardware, a trust chain is transferred to an application program from the TPM security chip, trusted BISO, a trusted OS (Operating System) kernel and an embedded software stack to realize the trusted starting of a dynamic trusted measurement module (DTM); S2. an application layer measurement request module generates measurement request information according to a suspicious event from safety equipment and a local security strategy requirement, the measurement request information is formatted, and the measurement request is sent to the DTM of a kernel layer to activate the DTM; and S3. the DTM carries out trusted measurement to a system progress or module and responds. According to the dynamic trusted measurement method, the complex real-time attack can be effectively detected and defended, the attack on an internal physical layer can be actively detected and defended, and a safe embedded system platform can be realized.

The invention discloses a self-adaptive malicious domain name detection method based on a DNS (Domain Name Server) flow. The method comprises the following steps: collecting a blacklist and whitelistsample set provided by a third party platform, and selecting a random forest classifier to train a domain name structure detection model by using the blacklist and whitelist sample set as a training set base line according to domain name structure characteristic list; performing Whois query and tracking verification on a domain name which is judged as a malicious domain name; training a flow detection model; performing data preprocessing on a domain name to be detected and DNS flow data, inputting the domain name and the DNS flow data as a loaded domain name structure detection engine and a flow detection engine, and acquiring prediction results; updating a training set blacklist of the domain name structure detection engine according to data set of malicious domain name judged by the flowdetection engine, and establishing a self-adaptive malicious domain name detection. By adopting the method, suspicious domain names can be rapidly detected, a relatively low time delay and an acceptable accuracy rate can be maintained, multiple types of malicious domain names can be detected from a massive amount of data, and a relatively high accuracy rate and a relatively low false alarm rate can be maintained.

The invention relates to a method, device and system for controlling intelligent household equipment, and belongs to the field of controlling of the intelligent household equipment. The method includes the steps of receiving a request for obtaining a right sent from a terminal in a local area network, inquiring right setting information stored locally to obtain right information of the terminal and sending the right information to the terminal, wherein the right information is used for the terminal to control the intelligent household equipment in the local area network. The device comprises a receiving module, an inquiry module and a sending module. The system comprises a router and the terminal. By means of the method, device and system for controlling the intelligent household equipment, right control over the intelligent household equipment is achieved, and controlling intelligentization of the intelligent household equipment is greatly improved.

The invention relates to an intestinal nutrient preparation, in particular to an intestinal nutrient preparation which is fit for Asian people nutrient support and has balanced medical effect, which comprises carbohydrate, plant protein, fat, vitamin, prandial fiber, emulsifying thickener, sodium nutrition, calcium nutrition, phosphor nutrition, kalium nutrition, magnesium nutrition, ferrum nutrition, zinc nutrition, iodine nutrition, selenium nutrition, cuprum nutrition, chromium nutrition, manganese nutrition, balsam pear powder, etc.

The invention relates to a rolling bearing fault diagnosis method. The method uses a learning algorithm of a CNN (Convolutional Neural Network) theory to complete a feature extraction task needed by fault diagnosis, and does not rely one manual selection, intrinsic features of input data are extracted automatically from simple to complex and from low-level to high-level, and abundant information hidden in known data can be dug out automatically; and a support vector regression method is used to identity a test sample in a classifying manner, support vector regression with a high generalization capability can be used to identity an unknown new sample in higher precision, and the disadvantage that a default classifier of deep learning tends to be low in the generalization capability can be overcome when support vector regression serves as a classifier to identify samples in the classified manner. The rolling bearing fault diagnosis accuracy and validity can be improved, a new effective approach is provided for solving problems in rolling bearing fault diagnosis, and the method of the invention can be widely applied to fault analysis of complex mechanical systems in the fields of chemical industry, metallurgy, electric power, aviation and the like.

The invention relates to a biofeedback simulation system and a biofeedback simulation method. The biofeedback simulation system comprises a physiological signal pick device, a central control system, a memory, a physical simulation device and multimedia equipment; the physiological signal pick device is used for picking physiological signals; the memory is used for memorizing multimedia data; the central control system is used for analyzing physiological signals and forming feedback information, reading multimedia data memorized in the memory according to the feedback information, controlling the multimedia equipment to show the read multimedia data, and controlling physical simulation device to implement the physical simulation. The biofeedback simulation system is a fire-new and more efficient rehabilitation iatrotechnique.

The invention provides a method for preparing synthetic leather and the synthetic leather prepared by the method. The method comprises the following steps: (1) coating slurry containing surface waterborne polyurethane resin on the surface of release paper, and drying to form a finishing coat; (2) mixing and foaming the slurry containing the foaming waterborne polyurethane resin with air by using a foaming machine, and coating the foamed slurry on the surface of the finishing layer, and drying to form a medium foaming layer; and (3) adhering the surface of the foaming layer and a basic fabric by using an adhesive containing waterborne polyurethane resin, and drying. The method uses the waterborne resin foaming layer to replace the Base leather manufacturing process, avoids using toxic and harmful organic solvents, such as dimetbyl formamide (DMF), toluene and the like, solves the pollution problem in the synthetic leather industry, and realizes clean manufacture of the synthetic leather.

The embodiments of the invention provide a fault diagnosis method and apparatus for a rolling bearing. The fault diagnosis method for the rolling bearing comprises the following steps: acquiring vibration signals of the rolling bearing, and solving a time-frequency spectrum of the vibration signals; according to the time-frequency spectrum, determining an optimal order component of the vibration signals; according to the optimal order component, performing angle re-sampling on the vibration signals to obtain angle domain signals; and performing envelope analyzing on the angle domain signals, and determining fault positions of the rolling bearing, wherein determination of the optimal order component comprises: setting an equivalent frequency conversion scope and searching for all order components from the time-frequency spectrum; and calculating order energy of the order components and determining the optimal order component from the equivalent frequency conversion scope. The fault diagnosis method and apparatus for the rolling bearing realize automatic and rapid determination of the optimal order component so as to provide a basis for fault diagnosis of the rolling bearing, improve the fault diagnosis accuracy and avoid interference of manual factors.

The invention discloses a teacher-student interaction network system and method for classroom teaching. The teacher-student interaction network system for classroom teaching comprises teacher terminalequipment, a network server device and student terminal equipment, wherein the teacher terminal equipment is used for demonstrating electronic teaching plan documents during the class, acquiring voice information when a teacher gives a lesson, meanwhile copying interfaces during demonstration of the electronic teaching plan documents as image information, merging the interfaces with the voice information to generate teaching video information, compressing and encoding the teaching video information and then transmitting the teaching video information to the network server device, and sharingthe teaching video information to all the student terminal equipment. Students can decode and play the teaching video information through the student terminal equipment. The students can transmit character or expression information to the teacher terminal equipment, and the character or expression information is displayed in a rolling manner by a bullet screen mode to remind the teacher to adjustthe teaching speed in time or answer questions in a targeted manner. The teacher-student interaction network system and method for classroom teaching can be used for classroom teaching of colleges, middle schools and primary schools, disconnection of the teacher from students is avoided, and thus, the teaching efficiency and the teaching quality are improved.

The invention relates to a learning system based on a multi-platform terminal and a cloud service and an operation method thereof. The learning system comprises the multi-platform terminal, a communication network and a cloud service platform. The multi-platform terminal is connected with the cloud service platform through the communication network. When the learning system is utilized for learning, a user can interact with the course anytime and anywhere. After completion of learning, analytic statistics is performed on big data based on cloud computing so that the learning effect is easy to assess and the whole learning process can be optimized. The teaching mode of watching the video course and periodic online teaching of the conventional online teaching system can be thoroughly changed so that real interactive learning can be realized.

The invention discloses a VHF (very high frequency) frequency-range intracloud lightning detecting and positioning system, which comprises a central treatment station and a plurality of detection and treatment sub-stations arranged in different positions, wherein the detection and treatment sub-stations and the central treatment station are accessed into a public wide area network in a wired or wireless mode; and through the wide area network, on one hand, obtained intracloud lightning detection data is uploaded to the central treatment station by the detection and treatment sub-stations, andon the other hand, the working state of each detection and treatment sub-station is remotely monitored by the central treatment station. The system can be used for precisely estimating the incidence directions of lightning radiation signals of a plurality of simultaneously occurring lightning radiation sources or the same lightning radiation source arriving at the detection sub-stations through different propagation paths, the arriving time difference of the lightning signals between any two detection and treatment sub-stations is calculated at the central treatment station (TDOA estimation),and the spatial position of an intracloud lightning radiation source is determined by DOA and TDOA information.

The invention discloses a Trojan horse detection method based on communication behavior clustering, and belongs to the field of information safety. The unknown Trojan horse detection method is excellent in feature extraction performance, proper in clustering algorithm and high in detection efficiency and accuracy in order to resolve the problems that the existing Trojan horse detection technology is low in feature extraction capacity, improper in clustering algorithm selection and the like. According to the technical scheme, the Trojan horse detection method comprises the steps of extracting a network flow data package, recombining a TCP conversation, extracting a Trojan horse reverse connecting feature, an entropy feature, a heart beat feature and the like, building a feature vector of the TCP conversation and carrying out real-time clustering on the feature vector based on a real-time increment clustering algorithm of LSH. According to the difference of communication behavior features of a Trojan horse conversation and normal network communication behaviors, the Trojan horse detection method marks the difference of the communication behavior features of the Trojan horse conversation and the normal network communication behaviors by combining the statistic analysis and the time series analysis technology, guarantees high detection accuracy and a zero false alarm rate, lowers the false alarm rate, and can effectively carry out real-time detection on the abnormal communication behaviors of a Trojan horse.

The invention discloses a modal damping ratio rapid calculation method based on a pulse excitation response spectrum. The method comprises the following steps: firstly, determining excitation and vibration pick-up positions of a structure, wherein the excitation and vibration pick-up positions are on a node and a nodal line adjacent to a modal shape, and have remarkable responses under various test modal shapes; recording a vibration pick-up point response signal by a signal acquisition device, and performing discrete Fourier transform to obtain a response spectrum; extracting corresponding responses under a resonance (or peak) frequency an adjacent frequency thereof on the basis to obtain a stable response amplitude; and lastly, calculating relevant parameters such as a frequency ratio and a response ratio in order to realize identification of a modal damping ratio of the structure. Through adoption of the method, the technical problems that semi-power points are difficult to find accurately in a conventional semi-power method, a frequency response function needed for calculating the modal damping ratio cannot be acquired sometimes in a frequency domain method since certain excitation time domain signals are difficult to measure directly, and transient components are attenuated incompletely, operations are complicated and the like in response under contact type excitation in the prior art can be solved.

The invention provides a sliding-mode control method for parameter-free driving-insufficient UUV (Unmanned Underwater Vehicle) vertical plane route tracking. The sliding-mode control method comprises the following steps: I, performing initialization; II, acquiring a current state of a UUV; III, establishing an error equation of the horizontal plane of the driving-free UUV so as to obtain position deviation values xe and ze and course deviation value theta e; IV, according to a sliding-mode control method, respectively designing traveling speed sliding-mode self-adaptive control rules, position sliding-mode control rules and trimming angle sliding-mode self-adaptive control rules, controlling propelling force Xprop, an excepted traveling speed U and a torque Mprop, wherein eu is 0, xe is 0 and theta e is 0; V, designing fuzzy control rules for a boundary layer, setting k to be equal to k+1, turning to step II, and updating control rules and self-adaptive rules of a next time. By adopting the sliding-mode control method, a controller for stabilizing a system can be designed only according to a vertical surface kinetic model, self-adaptive rules can be designed for water kinetic parameters with uncertainties, furthermore a control system can be relieved from dependency on parameters, the system has robustness, and the influence of the uncertainties on the sliding-mode control approaching process can be reduced.

The disclosed control method for household network device comprises: the manage device stores data and description file contained index of the terminal device data; it registers the terminal device on manage device and generates device list file according to terminal ID with corresponding relation to description file; the manage device receives directly user control or state query request, resolves the description file, and generates command to the terminal. Besides, it also discloses the corresponding device management device.

The present invention relates to a wave energy conversion and power generation system. Said invention is characterized by that it utilizes a flexible surface which can be flexibly bent and fluctuated with wave to receive drive of wave, and utilizes a rope whose one end is tied on the described flexible surface and another end is winded round a rotating wheel to pull said rotating wheel, so that said rotating wheel can be used for converting wave energy into mechanical energy, then utilizes a hydraulic system and a power generator unit to convert the mechanical energy into electric energy.

The invention relates to an intelligent houseware control technology field and especially relates to a client used in intelligent houseware controlling and a control system thereof. The client of the invention is embedded in a control terminal. The client comprises: a control module, a communication module, a display module and an input module. The control module comprises: a scene switching unit, a household control unit, a scene editing unit and a security control unit. The control system of the invention comprises: a controlled terminal, a communication network, the control terminal and the client embedded in the control terminal. The controlled terminal can be controlled through using the client and the communication network. The client can embed into the intelligent control terminal, such as a computer, a mobile phone and the like. Therefore, costs of buying extra remote controllers can be reduced and saved. In addition, when using the intelligent houseware operation system of the invention, a control instruction can be input through the network so that remote houseware control can be realized. A user can control the houseware at anytime and anywhere.

The invention provides a wave power generating system with a floating-body-based rope pulley, relating to a wave energy power generating system and comprising a wave energy collecting part, a power generator and a base, wherein the wave energy collecting part has the mechanism of: pushing a floating body by waves, tightening a rope, further driving a rotating wheel arranged on the floating body to apply work, and outputting mechanical energy to realize the collection of wave energy; and in a wave dropping step, reversely rotating the rotating wheel by using small force, withdrawing the rope, pulling and withdrawing in the way, and continuously circulating. The wave energy collecting part is used for supplying power to the power generator to generate power. The wave power generating system can adapt to most shapes of waves and has the advantages of strong wind and wave resistance, low cost and easy maintenance.

The invention provides a method and device for charging the non-contact charge of hybrid electric vehicles and electric vehicles and a vehicle comprising the device. The charging method provided by the invention comprises the following steps that: an electric energy metering unit on the vehicle meters the electromagnetic energy received by a power receiving coil; a wireless communication unit sends the charge information corresponding to the metered value obtained by the electric energy metering unit to a processing device through a wireless link; and the processing device charges according to the charge information. As the charging function on the charge capacity can be realized by use of a mobile communication system, the popularization is remarkably facilitated, and the investment cost is greatly saved. According to the charging method provided by the invention, the charging on charge can be realized by use of a smart card and a smart card reading / writing unit, and the prepayment mechanism effectively avoids the default of energy charge and gets rid of dependence on an external charging system.

The invention discloses a dual-mode positioning time-service type receiver for a compass satellite and a global positioning system (GPS) satellite. The receiver comprises an antenna module, a radio frequency channel module, a compass processing module, a GPS processing module and an expansion board module, wherein the antenna module comprises a compass receiving antenna, a compass transmitting antenna and a GPS receiving antenna; the compass receiving antenna is used for receiving a compass satellite downlink signal; a compass downlink radio frequency navigation signal is acquired by filtration of a filter and amplification of a compass low-noise amplifier; the compass transmitting antenna receives the signal which is transmitted by a compass power amplifier and transmits a signal to the compass satellite in the sky; and the GPS receiving antenna is used for receiving a GPS satellite downlink signal. The invention provides the receiver which receives the signals of the compass satellite and the GPS satellite simultaneously, so that functions of compass time service, compass positioning, GPS time service and GPS positioning can be realized, the receiver is independent of the GPS, and the safety and stability of civil basic industries of our country are improved.

The invention provides an onsite processing process for discarding initial rainwater in a heavy rain without occupying area, belonging to the technical field of environmental engineering. The invention discloses an onsite processing device for the discarding initial rainwater in the heavy rain without occupying area, which comprises a water inlet mechanism, a soil covering layer, a mixed layer, a soil layer, a gravel layer, a fine sand layer, a foundation layer and a draining mechanism, wherein the soil covering layer, the mixed layer, the soil layer, the gravel layer, the fine sand layer and the foundation layer are arranged in sequence from top to bottom; and the water inlet mechanism is connected with the mixed layer; and the draining mechanism is connected with the gravel layer and the fine sand layer. By the invention, the discarded initial rainwater in the heavy rain can reach the grade I discharge standard of the Discharge standard of pollutants for municipal wastewater treatment plant (GB18918-2002) and GB / T 18920-2002 reuse of recycling water for urban and water quality standard for urban miscellaneous water consumption, and the blockage problem of the groove processing system can be effectively prevented.

The invention relates to a multi-deformable mirror control method based on separation mode control and an optimization algorithm. By utilizing an influence function and a wavefront distortion mode of a deformable mirror, a control response equation used for optimizing an interference signal and a deformable mirror driving signal by adopting the optimization algorithm mode is established, and a wavefront distortion mode required to be corrected and correcting value are reasonably allocated for each deformable mirror. When the optimization algorithm is executed, target light distribution is taken as an evaluation function, the evaluation function and light beam quality are taken as the same criterion, and closed-loop control is carried out on each deformable mirror by adopting the light beam quality evaluation method, so that light beam criterion reaches up to the extreme value and effective control on the multi-deformable mirror is realized. The multi-deformable mirror control method disclosed by the invention has a simple system structure, the correction mode of each deformable mirror can be reasonably distributed, a wavefront correction stroke is effectively increased by adopting the existing deformable mirror manufacturing technology, and the multi-deformable mirror control method disclosed by the invention has expandability.

The invention discloses a wirelessly charged sensor node. The node mainly comprises a printed circuit board (PCB) antenna, a radio frequency front end module, a microprocessor module, a sensor module and a wireless radio frequency module, wherein the PCB antenna is connected with the radio frequency front end module; the radio frequency front end module is connected with the microprocessor module through a voltage-stabilizing submodule; and the microprocessor module is connected with the sensor module through an input and output (IO) port, and is connected with the wireless radio frequency module through a serial peripheral interface (SPI). The sensor node not only can be wirelessly charged, but also can acquire data of various sensors and send the data out through wireless radio frequency chips.

The invention relates to an automatic pressure adjustment type pulse signal acquisition device and method based on multiple sensors. The acquisition device comprises a base, a wrist support, a slideable adjusting mechanism, a sensor fixing mechanism supporting column, a sensor fixing mechanism, a stepping motor driver, a stepping motor, pulse sensors, a signal preprocessing circuit, a single-chip microcomputer and a computer, wherein the wrist support and the slideable adjusting mechanism are arranged on the base; the sensor fixing mechanism is arranged on the slideable adjusting mechanism through the sensor fixing mechanism supporting column; the pulse sensors comprise a cun position pulse sensor, a guan position pulse sensor and a chi position pulse sensor, which are independently connected onto the sensor fixing mechanism respectively; the signal preprocessing circuit, the single-chip microcomputer and the computer are sequentially connected, and the single-chip microcomputer, the stepping motor driver, the stepping motor and the sensor fixing mechanism are sequentially connected. Compared with the prior art, the automatic pressure adjustment type pulse signal acquisition device and method based on multiple sensors have the advantages that the measured signals are accurate, the automatic search of the best pulse feeling force is realized and the like.

The invention relates to a light bioreactor for culturing microalgae systematically, which comprises an in-parallel pipe group, a control valve, a pH value sensor, a temperature sensor, a light sensor, a water mist sprayer, a liquid level alarm, a pipe pump, an air inlet pipe, an exhaust pipe, a feed pipe, a discharge pipe, a microporous pipe, a liquid storage tank, a cool and heat exchanger, a control panel, a bracket, a lighting facility and the like, wherein the pipe group and the valve are effectively connected in a close way, specific surface area is enlarged simultaneously when the volume of microalgae is enlarged during culturing, and the invention has small ground occupation, effectively uses stereo space and has sufficient air exchange, and utilization rate is increased; during culturing, the invention monitors parameters such as temperature, pH value, concentration of a culture medium, lighting intensity, and the like in real time, provides the best condition for microalgae growth and metabolism, effectively reduces culturing time, avoids danger of outside harmful creatures, and decreases production cost. The bioreactor can be used for culturing microalgae cells in a continuous or semi-continuous way and producing microalgae protein, biodiesel or aquatic baits and other products.

The invention discloses a time series prediction-based wavelet neural network online PID adjustment method and a system using the same. The method specifically comprises the steps of initiating the parameters, computing the control parameters and rectifying the online adjustment parameters, computing the control amount, computing or acquiring the system output and computing the prediction result; the system specifically comprises a control decision device, an online adjuster, a control executer, a controlled object, an online predictor, a control perturbation source and a prediction perturbation source; the control decision device is used for realizing the parameter initiation; the online adjuster is used for computing the control parameters and rectifying the online adjustment algorithm parameters; the control executer is used for computing the control amount; the online predictor is used for computing the prediction result; and the control decision device is also used for judging whether the algorithm is finished. According to the method, the wavelet neural network and the classic control method are combined to solve the problem of dependence on the parameter configuration work before the system operates in the control field, so that the control system has the effects of prediction, learning, online parameter optimization and self-adaptation.