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 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 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 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 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 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 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.