47results about How to "Reliable parameters" patented technology

The invention discloses a visual detection method of shockproof hammer defect detection. The visual detection method comprises the steps that denoising and anti-shaking preprocessing is performed on an aerial photographing image so as to obtain an original image to be detected; the existing original image is expanded by using the method of geometric transformation, scale change and contrast transformation so as to generate more data similar to the original image; samples are acquired, a shockproof hammer in the aerial photographing image is acquired and the size of the shockproof hammer is mainly acquired; a network model to be trained is determined, and the sample data are inputted to perform forward propagation and reverse propagation to adjust the weight so as to obtain the optimized detection network model parameters; the image to be detected is identified by using the trained model and the position of the hammer of the shockproof hammer is determined; and the lead in which the hammer is located is determined, and shockproof hammer defect discrimination is performed according to the relative position of the lead and the shockproof hammer and the constraints of respective directions.

The invention discloses a medical big data processing method based on a body area network and cloud computing. The method comprises the steps that a physiological sensor senses user physiological data, generates a symmetric key for encryption of data through utilization of an APTEEN protocol and a Diffie-Hellman key exchange protocol, signs the data through utilization of a Merkle tree and transmits the processed data to a mobile device; the mobile device decrypts the data uploaded by the physiological sensor, verifies a user identity and completeness of the transmission data and sends verified user data to a cloud server for data storage and data analysis; and the cloud server stores a data analysis result and sends the data analysis result to the mobile device. According to the method, the medical data is stored and protected through adoption of a transmission encryption technology, so the problem that the privacy of a patient is leaked is effectively solved; and the data is transmitted to the cloud server in real time through a wireless network, redundancy eliminated storage and real-time decision analysis problems for the real-time transmission data are solved through utilization of a big data technology, and the security protection and real-time analysis of the medical big data are realized.

The invention discloses a capacitive voltage transformer failure monitoring instrument, which can acquire the three-phase secondary voltage of a three-phase capacitive voltage transformer, can acquire parameter information to be known by processing and calculating the three-phase secondary voltage, and can judge whether the capacitive voltage transformer is abnormal and fails according to the parameter information. During application, the capacitive voltage transformer failure monitoring instrument provided by the embodiment of the invention is directly connected to power equipment, the conventional power equipment structure is not required to be changed, reference parameters of failure judgment are directly calculated by the output voltage of the capacitive voltage transformer, the parameters are stable and reliable, the operating risk of a power system is reduced, and the reliability of the system is improved.

The invention relates to an individual soldier helmet type emergency command system based on various 3G (3rd-Generation) wireless networks, belonging to a system for wireless multifunctional communication based on an individual soldier knapsack and a helmet platform structure. The individual soldier helmet type emergency command system comprises a fully functional helmet, a master controller, the individual soldier knapsack and an operation box. The fully functional helmet is provided with a video camera, an illuminating lamp, a video display unit, a touch sensing type microphone and bony earphones. The master controller is arranged in the individual soldier knapsack. A wireless communication module, a five-path communication antenna, a multi-mode wireless communication module, a network exchange module and a data acquisition and exchange interface are arranged in the master controller. An individual soldier knapsack belt is provided with the operation box. The system does not need to be externally connected with display devices, supports traditional various 3G networks for two-way wireless transmission and interaction of audio and video signals and data, and can be used for executing a plurality of functions, such as remote command, wireless video sessions, image transmission, wireless reconnaissance, wireless measurement, and the like.

In order to form a device for detecting and preprocessing weights acting on a vehicle seat in such a way that it can be used in particular in conditions which are very difficult in terms of measuring technology, and in particular under the other special ambient conditions within a vehicle, and the weighing signal of which is substantially uninfluenced by this and can consequently provide a reliable parameter for airbag activation, it is proposed that this device comprises at least three load cells, which are disposed on load-carrying parts of the vehicle seat at corner points of an imaginary polygonal area and in each case generate a weighing signal corresponding to the weight, and an electronic evaluation circuit, which receives and preprocesses the weighing signals of the load cells and generates an output signal based on the weighing signals, the evaluation circuit comprising an evaluation function with which a localization of the center of gravity of the weight acting on the vehicle seat can be carried out from the individual weighing signals of the at least three load cells, and the evaluation circuit comprising a correction function, with which force bypasses can be taken into account in the forming of the output signal.

The invention discloses an impact characteristics test device and a method of agricultural materials. A drop hammer penetrates, from top to bottom, through a guide wheel and a tripod, and a start mechanism is fixed with a guide wheel base. A positioning plate capable of adjusting height is arranged on the drop hammer; a test stage is disposed on the bottom of the tripod; the material to be tested is disposed on the test stage; a charge-type acceleration transducer is arranged on the bottom of the drop hammer; the output terminal of the acceleration transducer is connected with the input terminal of a charge amplifier; and the output terminal of the charge amplifier is connected with the input terminal of a signal collecting box and then connected with a computer. According to the invention, the drop hammer impacts the agricultural materials, the high-impedance charge-type acceleration transducer can acquire the impact response dynamic signals of the agricultural materials, the dynamic characteristic parameters such as dynamic yield force and dynamic disruption force during yielding and disruption of the agricultural materials can be obtained by analyzing the signals, thus providing basis for designing mechanical equipment for harvesting, processing, storing, etc. agricultural materials. The device has simple structure, convenient operation and reliable parameters.

The invention relates to an intelligent internet-of-thing air purifier. The intelligent internet-of-thing air purifier comprises a multifunctional sensor, a central processing unit, a cloud server, a wireless communication module, a purification device, alarming equipment, a motor driving mechanism and a humidifier. A wireless communication module is further arranged to be connected with the internet-of-thing cloud server, data of a storage device is updated and exchanged, the purifier is controlled through connection of mobile equipment and the cloud server, the effect of a remote-control unit is replaced, and meanwhile, the remote network control function is achieved. By means of the intelligent internet-of-thing air purifier, a true intelligent internet-of-thing house and home network and an intelligent internet-of-thing office network are achieved, air is purified, a safe and reliable life working environment is provided, electric energy useless losses of a traditional purifier are saved, energy consumption is reduced, the using joy of users is increased, and a user can be informed for the environment parameters of the environment where the users are located in time. Reliable parameters and solutions are provided for environmental change treatment.

The invention discloses a preparation method for a novel welding-resistant ablation-resistant Cu-nano Al2O3-Cr contact material, and belongs to the technical field of Cu-Cr contact materials. According to the alloy components, dispersion-strengthened Cu-Al2O3 powder with the content of Al2O3 being 1.2wt% and Cr powder are mixed according to the proportion of the content of Cr being 5-50wt%; and the mixture is subjected to powder mixing, primary pressing, sintering, secondary pressing and secondary sintering. The technical process is greatly simplified, the parameters are stable and reliable, the whole process is easy to control, and the preparation method is suitable for large-scale continuous production. The Cu-nano Al2O3-Cr contact material prepared through the technology is good in compactness and high in electrical conductivity, and the hardness is improved by about 25HV compared with a contact material manufactured in the prior art. The Cr particles are evenly distributed in the dispersion-strengthened Cu base body, the softening temperature of the Cu-nano Al2O3-Cr contact material is above 950 DEG C, and the novel welding-resistant ablation-resistant Cu-nano Al2O3-Cr contact material has high welding resistance and ablation resistance.

The invention discloses a vertical component safety analysis method based on the catenary. The method is characterized in that a refined model and an overall model of a structure are coupled to obtain a numerical model, visual and dynamic numerical simulation can be provided for the collapse type of a high-rise structure, and the development condition of a horizontal component catenary mechanism in the component detaching position is analyzed under a certain accidental condition and disaster condition to carry out anti-continuous-collapse design. Compared with the prior art, the method has the advantages that the structure analysis process is simple, working efficiency is high, full and reliable parameters are provided for anti-collapse design of a key component, visual, quantitative and accurate component safety redundancy is obtained, and the method is particularly applicable to safety analysis of anti-collapsing design of the high-rise structure.

The invention relates to a closed spray cooling experiment system suitable for various cooling madia, belongs to the field of high-efficiency heat exchange and aims to solve the problem of the lack ofan experiment table which is simple to operate and multiparameter-adjustable in the research field of spray cooling technology. The system mainly comprises a gas-liquid separator (1), a compressor (2), a refrigerant liquid storage tank (3), a first stop valve (4), a pre-cooler (5), a refrigerant condenser (6), a drying filter (7), a bypass regulating valve (8), a first flow regulating valve (9),a second stop valve (10), a flowmeter (11), a spray chamber (12), an auxiliary electric heater (13), a third stop valve (14), a second flow regulating valve (15), a filter (16), a pump (17), a non-refrigerant liquid storage tank (18), a fourth stop valve (19) and a non-refrigerant condenser (20). The system has multiple advantages that spray cooling experiments using various liquids and various refrigerants as media can be conducted, the cooling media can be recycled, multiple parameters can be adjusted, use is convenient and the like.

The invention discloses a yoga motion recognition method based on multiple acceleration sensors. The yoga motion recognition method comprises the steps that acceleration data of an accelerometer in the X direction, the Y direction and the Z direction are collected through the accelerometer arranged on a yoga sporter; the acceleration data is sent to the microprocessor, and the microprocessor packages the acceleration data and sends the acceleration data to the client through a wireless transmission technology; after receiving the data, the client performs alignment processing on the data, arranges all the aligned data into a sample data matrix, then preprocesses the sample data matrix, and extracts a sample characteristic matrix representing actions; and matching the input sample feature matrix with a standard action feature matrix stored in a database to realize yoga action recognition. Three-dimensional acceleration data are collected, a standard feature sequence is constructed for action recognition and analysis, parameters are reliable, simple and feasible, the calculation complexity is low, the requirement for relevant hardware is low, and the implementation cost is low.

The present invention discloses a calculation method of the importance coefficient of a structural component based on the P-M bearing capacity curve. The method is characterized by taking the relationship between the anti-bending bearing capacity M and the axial bearing capacity P when the component cross-section material is broken to draw a P-M correlation curve and a stability control curve, andobtaining the component safety stress area surrounded by two curves. The specific calculation comprises: drawing of P-M and stability control curves, calculation of bearing capacity coefficients PMjand PM'j, calculation of the importance coefficient IFi and evaluation of the importance of the component. Compared with the prior art, the method disclosed by the present invention has a clear physical meaning and a wide application range, and provides sufficient and reliable parameters for anti-continuous collapse design of the key component, obtains intuitive, quantitative and accurate component safety redundancy, intuitively reflects the safety reserve of the component in the overall structure and the remaining structure, and is especially applicable to the safety analysis of the anti-collapse design of the high-rise structure.

The invention relates to a design calculation method of enlarging volume of the sewage plant. A design calculation method of using A/O type bio-aeration filter to enlarge the volume of said sewage plant, including one-level effluent-handling prime settling pool (2), second-level effluent-handling second settling pool, whose main feature is: set water-intake balancing tank (4) on water-outlet end of said second settling pool (1), connect the tertiary sewage treatment A/O type bio-aeration filter (3) to water-intake balancing tank (4). The invention requires the quality of outlet-water completely after enlarging the volume on the base of present outlet-water quantity of second settling tank and the quality of second settling tank, prime settling tank, calculates some main design parameters such as: outlet-water quantity of said introduced prime settling tank, outlet-water circulating mass, volume of anoxybiotic section, volume of aerobic section, etc. The invention is characterized by: precise calculating method, reliable parameters, A/O type bio-aeration filer applied to the design calculation of enlarging volume of tertiary treatment of present urban sewage plant.

The invention includes a system for generating virtual images of proposed and designated areas on a patient's anatomy that are to be treated in a RFA procedure. The images include a size, shape, and location of lesion/ablation patterns. The virtual images include dynamic (developing) or static (developed) lesions selected for the RFA procedure. The images are provided on at least one user interface that superimposes or overlays the lesion pattern(s) on an image of a patient's anatomy that undergoes the procedure. The images can be used to accurately and efficiently conduct RFA procedures and to record the procedures with enhanced visual data to confirm treated tissue areas. The invention further includes a diagnostic method of generating images in preparation for a RFA procedure, and a method of conducting the RFA procedure in which measured parameters determine the size and shape of the ablated areas achieved in the procedure.

The invention discloses a measurement device for permeability coefficient parameters of a low-permeability water-bearing layer and a method adopting the measurement device. The measurement device comprises a siphon, a water level measurement element and a water flow measurement element, wherein a water inlet end of the siphon extends into to-be-measured steady water level, elevation of a water outlet end of the siphon is smaller than that of the to-be-measured steady water level, and the to-be-measured steady water level comprises initial steady water level, steady water level during water extraction measurement and steady water level after measurement; the water level measurement element is arranged at the water inlet end of the siphon to measure steady water level change of the water inlet end of the siphon; the water flow measurement unit is arranged at the water outlet end of the siphon to measure water outflow of the siphon. According to the measurement device for the permeability coefficient parameters of the low-permeability water-bearing layer and the method adopting the measurement device, the operation is simple and convenient, the water outflow is stable, data is accurate and reliable, and experimental period is short.

The invention discloses a high-speed rail vehicle bogie which is arranged in an inner axle box mode, a hinged framework is supported on the inner side of a wheel set, the curve passing performance ofthe bogie can be effectively improved, the hinged framework is of a double-T-shaped structure, the central axes of cylindrical beams of two T-shaped side beams coincide, one cylindrical beam stretchesinto the other cylindrical beam. Two bearings with a certain transverse span are arranged between the two T-shaped side beams, the two T-shaped side beams can rotate freely, the torsional rigidity ofthe bogie is zero, the uniform load capacity, the line adaptability, the curve trafficability and the high-speed operation stability of the bogie are enhanced. The contradiction between the operationstability and the curve trafficability of a traditional bogie is fundamentally solved, the two primary suspension devices are adopted, the positioning rigidity of the primary suspension devices in all directions can be determined by independent components, the positioning rigidity of the primary suspension devices in all directions can be optimal at the same time, and parameters are more accurateand reliable.

This application discloses a potable, easy-to-use miniature cardiovascular sensor that is capable of monitoring heart rate, blood flow and blood pressure 24/7, using optical non-invasive method. It utilizes interferometric detection to improve signal to noise ratio. It also utilizes phase controlled focusing beam to reduce the optical power needed and therefore minimizing the power consumption, making it practical for continuous monitoring. The integrated optical chip assembly shrinks the total sensor size and makes it suitable for wearable devices, hence, this device will be portable and removable.

The invention discloses a curvature characterization method suitable for a complex seepage space body of a crack, and relates to the technical field of oil and gas development. The method comprises the following steps of: obtaining three-dimensional data of a surface A and a surface B of a rock core crack; enabling a complex space body formed by the surface A and the surface B to be equivalent toa space body formed by a smooth plane A' and a complex curved surface B'; and taking any point G (i, j) on the complex curved surface B', building a 7 * 7 standard grid, obtaining the average curvature k (i, j) of the point G (i, j) in four directions, obtaining the curvature of the complex curved surface B', and obtaining the curvature of the complex seepage space body. The method employs the 7 *7 standard grid to calculate the curvatures of the three-dimensional data points of the complex curved surface B' in four directions, and gives different weights to the curvatures of each three-dimensional data point in each direction at different distances to calculate the average curvature of each three-dimensional data point, thereby improving the precision of curvature characterization of thethree-dimensional data points in the complex curved surface B'.

The invention discloses a parameter determination method and device of a photovoltaic model, equipment and a storage medium. According to the method, the to-be-optimized parameters corresponding to the photovoltaic model are obtained, the to-be-optimized parameters are used as population individuals to construct the learning population based on the preset adaptive teaching optimization algorithm, then the target function value of each to-be-optimized parameter in the learning population is obtained, and the adaptive learning stage of the learner in the learning population is determined according to the target function value. Determining a preset learning mode according to the current cyclic algebra and the learner adaptive learning stage, updating the learner parameters in the learning population according to the preset learning mode, obtaining the updated learner parameters, and determining the parameters of the photovoltaic model according to the updated learner parameters. According to the method, the preset learning mode suitable for the user can be adaptively selected according to the learning level of the user, and the to-be-optimized parameters can be continuously updated, so that the parameters of the photovoltaic model are more accurate and reliable.

The invention discloses a method for determining nitrogen fertilizer application amount of crops. The method for determining the nitrogen fertilizer application amount of the crops is characterized in that the nitrogen fertilizer application amount is calculated according to the following formula: Nf-opt=Y/(NPE*NREopt), wherein Nf-opt is a crop recommended nitrogen application rate; Y is a target yield; NPE is nitrogen fertilizer physiological use efficiency; NREopt is an apparent accumulative recovery ratio under the recommended nitrogen application rate condition. The method for determining the nitrogen fertilizer application amount of the crops is simple, fast and accurate in calculation, scientific in principle, reliable in parameter and is a nitrogen fertilizer recommendation method based on accumulative use efficiency and a crop yield.

The invention discloses a rock slope modeling method based on discrete elements and a synthetic rock mass technology, which comprises the following steps of: firstly, acquiring fracture data on site, and solving a fracture distribution function; rock and fractured rock samples are collected on site for an indoor mechanical test, and mechanical parameters of the rock and fractures are obtained; establishing a discrete element slope model by utilizing the slope section; constructing a slope discrete fracture network model DFN by utilizing a fracture distribution function, and combining a discrete element slope model with the fracture network model; and finally, simulating a mechanical test which is the same as that in a laboratory, calibrating mesoscopic parameters of contact between particles by comparing macroscopic mechanical parameters, and applying a calibration result to the combined model to finish modeling of the fractured rock slope model. According to the method, discreteness of fractures and mechanical characteristics of fractured rock mass are fully considered, spatial distribution characteristics of the fractures in reality are truly reflected, the model can be used for slope stability analysis, landslide movement process inversion and other problems, and the result is true and reliable compared with the prior art.