31results about How to "Engineering value" patented technology

The invention discloses a natural gas liquefying system for carbon dioxide precooling double-stage nitrogen expansion. The natural gas liquefying system comprises a natural gas conveying pipe, a carbon dioxide precooling circulating device, a heavy hydrocarbon removing device, a double-stage nitrogen cooling circulating device, a BOG heat exchanger, a first throttling valve, a second throttling valve, a LNG throttling valve, a gas-liquid separation device, a LNG pump and a LNG tank. The natural gas liquefying system realizes precooling through carbon dioxide and deep cooling through nitrogen, optimally designs the technological process of a carbon dioxide precooling double-stage nitrogen expansion liquefying system, improves the process flexibility, reduces the energy consumption of the liquefying system, improves the safety, and can realize stable, efficient and continuous production demands of offshore liquefied natural gas under the conditions of different sea areas and different gas properties.

The invention provides a battery model parameter identification method based on a multi-innovation recursive Bayesian algorithm. The method comprises the following steps of: 1), measuring the terminalvoltage and load current data of a lithium ion battery in a certain period of time through an intermittent constant-current discharge method, and determining the function relation of an OCV-SOC of the lithium ion battery through a polynomial fitting method; 2) determining a dual-polarization equivalent circuit model of the lithium ion battery, and establishing a system equation representing a relation between a battery parameter identification vector and system output; and 3) constructing an identification process of the multi-innovation recursive Bayesian algorithm. According to the method of the invention, an ARX model for lithium ion battery parameter identification is established; the result of the previous moment is corrected by utilizing an innovation correction technology; an innovation length parameter is introduced based on the multi-innovation identification method, so that the influence of bad data on parameter estimation is overcome, and the parameter estimation precisionis improved; and the parameter identification result shows that the method is high in identification precision and has engineering value.

The invention discloses an experiment device and testing method of a uniaxial BREE solution. The experiment device mainly comprises a high temperature creep fatigue testing machine, an upper beam, a lower beam, sample clamps, a first rod sample, a second rod sample, a heating furnace, a high temperature displacement sensor, a temperature controller and a measurement system. The upper beam and the lower beam are fixed to the high temperature creep fatigue testing machine, the two parallel sample clamps are arranged between the upper beam and the lower beam, and the first rod sample and the second rod sample are fixed to the two sample clamps; the first rod sample and the second rod sample are provided with the heating furnace and the high temperature displacement sensor, the temperature controller is connected with the first rod sample and the second rod sample, and the measurement system is connected with the high temperature creep fatigue testing machine. The testing method includes the steps that the high temperature displacement sensor tests displacement deformation of the rod samples, and the relation between plastic stress and the cycle times is obtained, so that the structural stability limit is obtained. The experiment device and testing method can be used for testing and evaluating of the structural stability limit under the condition of uniaxial load and similar working conditions.

The invention discloses a lightweight concrete. The lightweight concrete comprises, by mass, 60-80 parts of water, 20-30 parts of cement, 40-50 parts of PC, 200-300 parts of cobblestones, 100-120 parts of river sands, 10-15 parts of quicklime, 1-2 parts of a foaming agent and 3-5 parts of an additive. The lightweight concrete has the advantages of light weight, small slump loss, good fluidity, energy saving and environmental protection.

The invention discloses a method for preparing an organic and inorganic composite concrete protective coating modified by coupling agents. The method includes steps of (1), preparing tetraethyl orthosilicate, deionized water and ethyl alcohol according to a molar ratio of 1:(3-6):(3-6) at the room temperature, gradually adding terminal hydroxyl polydimethylsiloxane into the tetraethyl orthosilicate, the deionized water and the ethyl alcohol under magnetic stirring conditions and stirring the terminal hydroxyl polydimethylsiloxane, the tetraethyl orthosilicate, the deionized water and the ethylalcohol for 15-25 min to obtain mixtures; (2), gradually adding the coupling agents into the mixtures at the temperature of 25 DEG C under magnetic stirring conditions, carrying out modification to prepare organic and inorganic composite protective coatings, stirring the organic and inorganic composite protective coatings until solution is uniform, then dropwise adding a catalyst n-octylamine into the solution and stirring the solution and the catalyst n-octylamine until transparent stable sol is obtained. The method has the advantages that protective coatings can be prepared by the aid of sol-gel processes, the method is simple, economical and practical and is low in cost, the organic and inorganic composite concrete protective coating is high in adhesion and corrosion resistance, outstanding in waterproof performance, good in weather resistance and applicable to civil waterproof engineering and waterproof engineering such as tunnel and ocean engineering, and the like.

The invention discloses lightweight concrete. The lightweight concrete comprises the following components in parts by weight: 100 parts of cement, 50 parts of water, 60-70 parts of PC (polycarbonate), 10-15 parts of quick lime, 5-7 parts of carbon powder, 1-4 parts of calcium carbonate and 0.05-0.2 part of zinc sulfate. By breaking a conventional concrete formula, replacing a part of cement with the PC, activating through calcium carbonate and zinc sulfate and reinforcing through the quick lime, the obtained lightweight concrete has the engineering value of concrete and is lighter than conventional concrete by more than 10 times, so that great burden is reduced for engineering.

The invention discloses a refined measurement method for solid propellant metal aluminum combustion agglomerated particles. The refined measurement method comprises the following steps: carrying out real-time measurement on metal combustion particles of a region above a solid propellant combustion surface, so as to obtain a holographic image of the metal combustion particles; pre-processing the holographic image of the metal combustion particles and reconstructing the holographic image of the metal combustion particles according to a de-noised particle holographic image; carrying out post-processing on the reconstructed holographic image of the metal combustion particles and carrying out granularity extraction; obtaining the quantity of the metal combustion particles and a volume probability distribution counting and fitting analysis result through calculation. According to the refined measurement method disclosed by the invention, the particles with the size of 10 mu m or more can beclearly obtained and the related measurement error can be reduced to 0.4 percent; the refined measurement method can be used for effectively measuring the granularity and space distribution in a dynamic combustion process of the solid propellant metal particles.

The invention discloses a method for predicting sound insulation properties of a flat plate based on an optimal square approximation theory. First, uncertainty is quantified as an interval model according to uncertainty test data; second, an optimal square approximation order of an interval parameter and a Gaussian integral point are determined based on the nonlinearity degree of inherent attributes of a flat plate sound insulation system with respect to the interval parameter, and an optimal sound insulation property frequency band is defined by utilization of an inherent attribute value of the flat plate sound insulation system at the position of a sample point and the optimal square approximation theory; finally, an optimal square approximation order of the flat plate sound insulation amount with respect to the interval parameter is determined, and a Gaussian integral point is utilized to sample the interval parameter; at the position of any frequent point within the optimal sound insulation property frequency band, the sound insulation amount interval limit is calculated through the sound insulation amount of the flat plate at the position of the sample point and the optimal square approximation theory, and the sound insulation properties of the flat plate under the influence of uncertain factors are output. According to the method, the influence of uncertainty on the inherent attributes of the flat plate sound insulation system and the sound insulation properties is considered, and the method can be used for guiding engineering application of the uncertainty.

The invention belongs to the technical field of explosion damage evaluation, and particularly relates to a judgment method for a cabin explosion small-deformation plastic damage mode problem. The method is based on the basic principle of plastic dynamics; a damage mode judgment method under a small deformation condition is deduced; an estimation formula of response of different load factors to thefinal deflection of the center of the grillage structure is given; numerical verification is given to a theoretical calculation result, and the result shows that the small-deformation damage mode judgment method derived by the invention has certain reference, has certain accuracy for estimating the maximum deflection of the grillage structure, meets the requirement of rapid estimation and has engineering value. On one hand, after the load is given, the damage mode of each cabin can be quickly forecasted; and on the other hand, when the cabin explosion test is designed, the cabin structure design and the explosive quantity selection can be preliminarily estimated according to the wanted damage effect.

The invention discloses a positioning method and system for target area seismic source containing unknown cavity, and the method comprises the following steps: 1, recognizing the position of the cavity, specifically comprising the steps of arranging a plurality of sensors at different positions of the target area, and collecting the actual travel time of signals among the sensors; constructing a plurality of cavity models for the target area; for each cavity model, tracking the shortest path of signal propagation among the sensors when the cavity model exists in the target area so as to obtaintheoretical travel time of signals among the sensors; respectively calculating the deviation between the theoretical travel time and the actual travel time of the signals between the sensors corresponding to each cavity model, wherein the position of the cavity model corresponding to the minimum deviation is the cavity position in the identified target area; and step 2, on the basis of the identified cavity position, carrying out seismic source positioning on the target area. The method can achieve the precise positioning of the seismic source under the condition that the position of the cavity is unknown.

The invention discloses a gas ultrasonic flowmeter based on TDC-GP30 and dual-channel and a using method thereof. The using method comprises the steps that: gating two groups of transducers respectively through an electronic switch, then the time chip emits pulses, the echo signal of the ultrasonic flow will return to the time chip and the time chip transmits the calculation result to the microcontroller MCU for storage; the time chip measures the medium temperature of the pipeline in real time, the microcontroller MCU calculates the current temperature, and performs an alarm if the temperature is abnormal or stores the temperature in a data storage chip if the temperature is normal; the microcontroller MCU performs pressure collection on the pressure sensor and calculates a pipeline pressure value, and performs an alarm if the pressure is abnormal or stores the pressure in the data storage chip if the pressure is normal; storing the accumulated flow, the gas volume, the temperature, the pressure, and related instrument parameters calculated by the microcontroller MCU. According to the gas ultrasonic flowmeter based on TDC-GP30 and dual-channel and the using method thereof, the instantaneous flow of the medium in the pipeline is measured by adopting dual-channel transducers, so that the measurement errors caused by the non-uniform distribution of the fluid in the pipeline can be greatly reduced, and the accuracy of the flow measurement can be improved.

The invention discloses a dynamic position and attitude synchronization measurement method fused with inertial measurement information, which comprises the following steps: rigidly connecting an IMU (Inertial Measurement Unit) with a pose measurement target formed by a wMPS photoelectric receiver, respectively measuring the spherical center coordinates of the photoelectric receiver by using a three-coordinate measuring machine, fitting the coordinate system of the IMU, and unifying the observation objects of the wMPS and the IMU; placing the rigidly connected pose measurement target on a measured target and moving along with the target, measuring the scanning angle of each receiver by using the laser emission station, and constructing a light plane geometric constraint relationship; the wMPS pose observation at the initial position is used as an IMU state updating initial value, and the IMU state is updated successively by using the angular velocity and the acceleration output by the IMU; and if a new wMPS measurement result exists in two adjacent IMU state updating processes, performing wMPS and IMU pose measurement data fusion to obtain a fused system state quantity, and outputting a final pose in combination with IMU self updating.

The invention discloses a method for acquiring a data transmission rate. The method comprises the following steps: acquiring a specified channel quality indication value in a wireless transmission channel at the current moment in real time, acquiring transmission efficiency corresponding to the specified channel quality indication value through the specified channel quality indication value, and calculating a basic transmission rate in the wireless transmission channel corresponding to the current moment; acquiring a specified time period to which the current moment belongs and a specified area range to which a mobile terminal connected with the wireless transmission channel belongs, and acquiring a corresponding specified rate conversion factor beta according to the specified time periodand the specified area range, wherein 0<=beta<=1; and multiplying the basic transmission rate in the wireless transmission channel corresponding to the current moment by the specified rate conversionfactor to obtain the data transmission rate in the wireless transmission channel corresponding to the current moment. A wireless signal quality sensor is additionally arranged on the mobile edge side,so that the current data transmission rate is accurately obtained.

The invention provides a power distribution area electric vehicle load identification method based on blind signal separation, and belongs to the technical field of power distribution network management and control. The problem that the access of the charging equipment cannot be identified due to unknown topology and information loss in the power distribution area is solved. According to the technical scheme, the method comprises the following steps: 1) establishing an electric vehicle load model; 2) a blind signal separation model; and 3) constructing a membership distance and membership degree function. The method has the beneficial effects that the electric vehicle load model and the blind signal separation model are established, the non-linear load of the electric vehicle is processed in a separation and non-linear mapping mode, a non-linear signal is converted into a linear signal, the separated result is more accurate, the speed is higher, and the blind signal is more accurate. And the precision of the separation result of blind signal separation is high.

The present invention provides a battery model parameter identification method based on multi-innovation recursive Bayesian algorithm, comprising the following steps: Step 1) measuring the lithium-ion battery terminal voltage and load current within a certain period of time by intermittent constant current discharge method Data, determine the functional relationship of its OCV-SOC by polynomial fitting method; step 2) determine the dual-polarization equivalent circuit model of lithium-ion battery, establish the system equation that represents the battery parameter identification vector and system output relationship; step 3) construct multiple The identification process of the innovation recursive Bayesian algorithm. The beneficial effect of the present invention is: the present invention establishes the ARX model of lithium-ion battery parameter identification, uses the innovation correction technology to correct the result of the previous moment, and introduces the innovation length parameter based on the multi-innovation identification method to overcome bad data The impact on parameter estimation improves the accuracy of parameter estimation. It can be seen from the parameter identification results that this method has high identification accuracy and has engineering value.

The invention discloses a method for predicting sound insulation properties of a flat plate based on an optimal square approximation theory. First, uncertainty is quantified as an interval model according to uncertainty test data; second, an optimal square approximation order of an interval parameter and a Gaussian integral point are determined based on the nonlinearity degree of inherent attributes of a flat plate sound insulation system with respect to the interval parameter, and an optimal sound insulation property frequency band is defined by utilization of an inherent attribute value of the flat plate sound insulation system at the position of a sample point and the optimal square approximation theory; finally, an optimal square approximation order of the flat plate sound insulation amount with respect to the interval parameter is determined, and a Gaussian integral point is utilized to sample the interval parameter; at the position of any frequent point within the optimal sound insulation property frequency band, the sound insulation amount interval limit is calculated through the sound insulation amount of the flat plate at the position of the sample point and the optimal square approximation theory, and the sound insulation properties of the flat plate under the influence of uncertain factors are output. According to the method, the influence of uncertainty on the inherent attributes of the flat plate sound insulation system and the sound insulation properties is considered, and the method can be used for guiding engineering application of the uncertainty.

The invention relates to a cascade filtering method and device for a portable relative gravimeter, and the scheme comprises two-stage filtering: firstly carrying out the downsampling of the output data of the gravimeter, and then sending the downsampled output data of the gravimeter into an FIR filter for filtering, and obtaining the final output result of the gravimeter. According to the technical scheme, the output precision of the gravimeter is high, high-frequency noise can be suppressed in advance through down-sampling processing of the cascade filter, and the measurement precision is improved. Meanwhile, the scheme saves computing resources, and downsampling processing of the cascade filter can reduce the order of the filter, so that the operation pressure is reduced.

The invention relates to a testing method based on in-situ stretching of a scanning electron microscope. The invention aims to provide an in-situ stretching method for evaluating crack propagation of a prefabricated notch high-temperature nickel-based alloy. According to the method, crack propagation evaluation and characterization can be effectively carried out on the high-temperature nickel-based alloy in the high-temperature in-situ tensile test process when the high-temperature nickel-based alloy has the prefabricated notch in the mesoscale (several microns to dozens of microns). According to the technical scheme, the in-situ stretching method for evaluating crack propagation of the prefabricated notch high-temperature nickel-based alloy comprises the following steps: 1) sample processing: processing a high-temperature nickel-based alloy sheet into a sample, and prefabricating a notch in the center of the sample; 2) sample preparation: grinding and polishing the sample to obtain a sample with a smooth and flat surface; 3) performing in-situ tensile test on the sample; and 4) processing and evaluating test data.

The invention relates to a novel light-weight concrete. The novel light-weight concrete comprises the following components in parts by weight: 50-100 parts of cement, 30-50 parts of PC, 5-10 parts of powdered carbon, 10-15 parts of quicklime, 50-70 parts of fly ash, 15-34 parts of a waste calcination material; 0.05-0.2 parts of zinc sulfate, 1-4 parts of calcium carbonate, 15-30 parts of an additive, 50-100 parts of seriflux, 36-85 parts of an aggregate material, and 3.85-5.1 parts of a super retarder. The novel light-weight concrete has the advantages that a traditional concrete formula is broken down, PC can substitute partial cement, through activation of calcium carbonate and zinc sulfate as well as reinforcement of quicklime, the light-weight concrete has the engineering value of concrete, compared with the current concrete, the mass is mitigated by more than 10 times, so that large burden can be mitigated for construction.

The invention discloses a positioning method and system for target area seismic source containing unknown cavity, and the method comprises the following steps: 1, recognizing the position of the cavity, specifically comprising the steps of arranging a plurality of sensors at different positions of the target area, and collecting the actual travel time of signals among the sensors; constructing a plurality of cavity models for the target area; for each cavity model, tracking the shortest path of signal propagation among the sensors when the cavity model exists in the target area so as to obtaintheoretical travel time of signals among the sensors; respectively calculating the deviation between the theoretical travel time and the actual travel time of the signals between the sensors corresponding to each cavity model, wherein the position of the cavity model corresponding to the minimum deviation is the cavity position in the identified target area; and step 2, on the basis of the identified cavity position, carrying out seismic source positioning on the target area. The method can achieve the precise positioning of the seismic source under the condition that the position of the cavity is unknown.

The invention provides a PH neutralization process model identification method based on a Newton iteration algorithm, and the method comprises the following steps: 1) constructing a PH neutralization process fractional order Hammerstein CAR model, and obtaining a PH neutralization process identification model according to a constructed system model; and 2) constructing an identification process of a Newton iteration algorithm. The PH value neutralization process model identification method based on the Newton iteration algorithm has the beneficial effects that a parameter identification result carried out by using the PH value neutralization process model identification method based on the Newton iteration algorithm can show that the method is relatively high in identification precision and relatively small in output parameter estimation error; meanwhile, the identification method also shows that the identification method has good applicability to the PH neutralization process model.

The invention discloses a design method of a Z-type flow cold plate of an active phased array antenna based on layout of devices. The method comprises the first step of determining the positions of all the heating devices, the second step of determining the longitudinal flow position and the transverse flow position of a Z-type flow, the third step of determining a geometric model of the Z-type flow of a T / R assembly, the fourth step of calculating the temperature distribution and pressure drop of a linear array, and the fifth step of judging whether the Z-type flow cold plate meets a thermal design index of the antenna or not. According to the design method of the Z-type flow cold plate, whether the Z-type flow cold plate meets the thermal design requirement or not is judged by calculating the temperature distribution of the array. Compared with a traditional Z-type flow, the Z-type flow designed according to the method has the advantages that the better heat dissipation capability is achieved, the highest temperature of the heating devices is lower, the pressure drop of the cold plate is reduced effectively, the thermal design index of the antenna can be met, the pump power can also be reduced remarkably, and the working capability of an antenna platform is enhanced. According to the method, corresponding Z-type flows can be designed for the distribution of the different heating devices so as to meet the requirement for the temperature of the active phased array antenna, and the method has the actual engineering significance.

The invention provides an aviation gas turbine transition state performance similarity method and device. The method comprises the steps of obtaining a high-temperature working condition characteristic curve of a gas turbine, taking any moment in the high-temperature working condition characteristic curve as a high-temperature working condition datum point, and determining high-temperature working condition parameters of the high-temperature working condition datum point; determining a target moment corresponding to the low-temperature working condition reference point according to the consistency of the high-low temperature working condition dimensionless moments, and determining low-temperature working condition parameters of the low-temperature working condition reference point according to the basic reference quantity corresponding to the actual physical condition; according to the reference temperature of the high-temperature working condition datum point and the reference temperature of the low-temperature working condition datum point, determining the corresponding relation of the high-temperature working condition characteristic curve and the low-temperature working condition characteristic curve on the time scale; on the basis of the corresponding relation and the high-temperature working condition characteristic curve, determining the change rate of the parameters at all moments along with time under the low-temperature working condition; and generating the working condition parameters of the low-temperature working condition at each moment according to the low-temperature working condition parameters and the change rate of the low-temperature working condition datum point.

The invention discloses a method for generating related data sequences. The method includes: using the given standard error σx, standard error σy and correlation coefficient ρxy to construct the covariance matrix P1 and the invertible matrix P; calculate the contract transformation matrix P2 of the covariance matrix P1; calculate the n The standard error σx' of the dimensional data sequence X' and the standard error σy' of the n-dimensional data sequence Y'; according to the standard error σx', use the random function to generate the n-dimensional data sequence X'; according to the standard error σy', use the random function , to generate n-dimensional data sequence Y'; according to n-dimensional data sequence X', n-dimensional data sequence Y' and reversible matrix P, n-dimensional data sequence X and n-dimensional data sequence Y are obtained. The invention achieves the purpose of accurately and simply generating data meeting the requirements of relevant standard errors from independent non-correlated sequences through numerical calculation.

The invention discloses a light-weight concrete. The components of the raw materials are calculated in parts by weight, including 100 parts of cement, 50 parts of water, PC? 60-70 parts, quicklime 10-15 parts, carbon powder 5-7 parts, calcium carbonate 1-4 parts, zinc sulfate 0.05-0.2 parts. This invention breaks the formula of traditional concrete, replaces part of cement with PC, activates calcium carbonate and zinc sulfate, and reinforces with quicklime. Concrete needs to be reduced by more than 10 times, which greatly reduces the burden on construction.