37results about How to "Short calculation cycle" patented technology

The invention discloses an optimization method of cycloid pin wheel profile modification based on particle swarm algorithm, and the method comprises the steps of determining a design variable and an object function according to a basic parameter of a cycloid wheel; re-determining a constrained condition according to a traditional constraint method and constraint requirements to a reshaped cycloid wheel tooth tip gap and a tooth root gap provided by the invention; playing the global optimization ability of particle swarm optimization algorithm in combination with the reshaped characteristics of the cycloid wheel to construct a particle swarm optimization algorithm model after the cycloid wheel shaping optimization; making an optimization object that the reshaped tooth profile can get close to a corner shaping tooth profile maximally and a return difference as small as possible is guaranteed, and further increasing the constraint requirement to the tooth tip gap and the tooth root gap on the basis of the traditional constraint, thereby obtaining a shaping tooth profile with an optimal equidistant and offset. In this way, the invention discloses the optimization method of cycloid needle wheel tooth profile modification based on the particle swarm algorithm with a short calculating period and high calculating precision, and the effect is good.

The embodiment of the invention provides a check value calculation method and a device of cyclic redundancy check. The method comprises the following steps: inputting the data packet which is equal to the first preset bit wide to a cyclic redundancy check calculation unit corresponding to the first preset bit wide for calculating check value when the data packet which is equal to the first presetbit wide in the data stream is received; and splitting the data packet which is less than the first preset bit wide into two or more data segments with different bit wide when the data packet which is less than the first preset bit wide in the data stream is received, and inputting the split data segments with different bit wide into the cyclic redundancy check calculation unit corresponding to the bit wide of the split data segments for calculating check value. The embodiment of the invention can effectively improve the efficiency of redundancy check value calculation, reduce the time to calculate the cyclic redundancy check value and can effectively satisfy the requirement of data transmission in high speed communication system.

The invention discloses a split jet aerator, which comprises the following parts: suction inlet, water nozzle, mixing tube, dispersing pipe, tail pipe and distributor, wherein the distributor connects the tail pipe; a cone with the action of deflecting the composite liquid and reducing the local resistance is set in the pipe segment with diffusing angle of tail pipe; the CFD company adopts artificial software value to optimize the design of the structure of jet aerator, which transmits the composite liquid of effluent-living sludge into water nozzle; certain vacuum is formed in the course of jet to form three-phased composite liquid of gas, liquid and solid, which enters into the dispersing pipe to form jet distributor with certain pressure to do inclined ejection to aerate oxygen and stir. The invention improves more dynamic efficiency and more oxygen utility than traditional one, which possesses larger suction quantity, higher bubble quality, evener stirring power and more energy saving.

The invention provides a booster navigation and positioning solving method applicable to high-dynamic rolling reentry. The booster navigation and positioning solving method comprises the following steps: (1) establishing a high-dynamic attitude solving equation according to an optimized three-subsample equivalent rotating vector method; (2) establishing a speed and position navigation solving model of a boosting returning section according to the high-dynamic attitude solving equation established by step (1); (3) establishing an error model of an MEMS (Micro-electromechanical Systems) inertialdevice; identifying errors of the MEMS inertial device according to the speed and position navigation solving model of the boosting returning section of step (2) and boosting reentry actual measurement data, so as to obtain a revised MEMS inertial device output result; and (4) substituting the revised MEMS inertial device output result obtained by step (3) into the speed and position navigation solving model of the boosting returning section of step (2) to realize navigation and positioning solving of a boosting reentry process. The algorithm has the advantages of high solving precision, short calculation period, capability of being adaptive to large-attitude maneuvering and the like, and can provide accurate navigation position information for a booster reentry section.

The invention discloses an online blast furnace soft melting zone root position monitoring method. The method comprises the steps that the average density of heat flow passing through furnace linings is calculated by collecting the flow rate and temperature of cooling media in layers of cooling equipment of a blast furnace, the temperature difference between an inlet and an outlet, and other data; the average temperatures of the hot surfaces of all the layers of the furnace linings are calculated by analyzing the heat resistance of all parts between the cooling media and the hot surfaces of the furnace linings and combining the average heat flow density, the temperatures are used as the central point temperatures of the hot surfaces and subjected to interpolation or fitting, and thus, longitudinal temperature distribution of the heat surfaces of the blast furnace is obtained; the upper boundary temperature and the lower boundary temperature of a soft melting zone are calculated according to the phase composition of a to-be-smelted object, and the upper boundary position and the lower boundary position of the root of the soft melting zone can be determined by combining the longitudinal temperature distribution; and thus, online monitoring of the root position of the soft melting zone of the blast furnace can be achieved through online monitoring of the low rate and temperature of the cooling media, the temperature difference between the inlet and the outlet, and other data. The online blast furnace soft melting zone root position monitoring method has the advantages that timeliness is good, calculation is easy, and equipment investment is small; information including longitudinal temperature distribution of the heat surfaces of the furnace linings, the root position of the soft melting zone and the like can be monitored in real time; and theoretical direction is provided for optimized operation of the blast furnace and smooth production.

The invention discloses an optimization design method for uniform liquid distribution of a heat exchanger. The method comprises: simulating an air flow state in the heat exchanger and a refrigerant heat exchange state of each heat exchange pipe by using FLUENT software, obtaining the refrigerant heat exchange state of each heat exchange pipe, and obtaining a refrigerant heat exchange pressure drop of each heat exchange pipe according to the refrigerant heat exchange state of each heat exchange pipe; and according to the refrigerant heat exchange pressure drop of each heat exchange pipe, assuming that a resistance pressure drop required to be applied to a refrigerant by each liquid distribution capillary tube is reversely deduced when the refrigerant is reasonably utilized, and finally obtaining the required size of each liquid distribution capillary tube, wherein an obtained result is accurate. The method has the following advantages: (1) a working state of the heat exchanger is simulated by constructing a virtual model, so that the calculation cycle is short and the manpower and material resources are saved; and (2) the result can be obtained through computer operation, the operation is simple and convenient, the model is convenient to modify, and a complicated model can be adapted.

The invention provides a prepayment management system and an edge computing communication terminal. An edge computing communication terminal is arranged between an electric meter and a cloud background server; the edge computing communication terminal establishes a virtual ammeter data computing storage module with a unique number for each accessed ammeter; a cloud background server is replaced tocarry out degree reading and electric charge calculation on the electric meter; a common electric meter without a prepayment function can achieve the prepayment function, electric charge and prepayment balance calculation can be completed more quickly, electricity control can be conducted more quickly and timely, and it is guaranteed that important data and commands such as electricity price information, recharging data and an electricity control instruction are encrypted through an algorithm and are safely communicated through a wide area network. The problem of resource limitation caused bythe fact that a traditional background prepayment system needs server and network communication expansion due to increase of the number of ammeters is solved, and the ammeter access amount is increased. The prepayment function of an ammeter user is not influenced by cloud background server faults and communication network faults, the system reliability is high, and the data communication is safe.

The invention provides a time-saving and effort-saving method for calculating air intake volume of a front-end module of a car engine cabin. The instantaneous-condition air intake volume in a real car driving condition can be considered in an early design period. The method specifically comprises the steps of A, defining an air intake system of the front-end module of the engine cabin and dividing a front-end air intake channel of the whole engine cabin into a plurality of parts and paths according to flow characteristics; B, performing CFD flow field calculation on the engine cabin and calculating resistance of the parts and the paths of the air intake system of the front-end module of the engine cabin; C, defining resistance characteristics of the parts and the paths; D, establishing a balance calculation model of the air intake volume of the front-end module of the engine cabin by utilizing KULI software; E, determining an instantaneous condition of car running and inputting a defined complete car speed in the instantaneous condition into the calculation model in the step D; and F, reversely deriving the instantaneous-condition air intake volume of the front-end module according to the balance calculation model of the KULI software.

The invention provides a frequency acquisition method and a device of a single chip microcomputer, comprising the following steps: recording the capture counting difference between two capture eventsand the number of capture events; Calculating a time difference between two adjacent capture events according to the capture count difference; calculating A target frequency according to that time difference and the number of capture events. Thus the design calculation cycle is short and the calculation frequency is completed within the set time. The calculation precision is high, and the timer parameters can be adjusted automatically according to different frequencies, so that more accurate measurement can be realized.

The invention discloses an industrial process small sample fault diagnosis method based on deep optimal feature transmission, and the method comprises the steps: constructing a reduced source domain and target domain deep adaptation network based on domain adaptation, carrying out the analysis of industrial small sample fault data, and rapidly building an industrial small sample fault diagnosis quantitative model based on deep optimal feature transmission; constructing a fault adaptation task set according to the historical fault adaptation tasks; representing the fault adaptation task set in an embedding space; and carrying out model identification and parameter estimation on the normal form learned by the embedded space, and updating the optimal characteristics of the transmission depth of the model, thereby obtaining a fault classification result under an unknown fault task. According to the method, the fault type of the sparse heterogeneous industrial signals under different working conditions can be accurately predicted, the algorithm complexity is low, the calculation period is short, and the portability is high.

The invention discloses calculation models of a leaf spring torsional vibration damper in the technical field of diesel engines. The calculation models include the rigidity calculation model and the leaf spring stress calculation model of the leaf spring torsional vibration damper, wherein the rigidity calculation model is obtained by calculating the bending moment of spring leaves, the interaction force between two spring leaves, the tail end deflection, the total moment and the turn angle, and the leaf spring stress calculation model is obtained by calculating the interaction force between two spring leaves, the bending moment of the spring leaves and the bend section modulus. The calculation models are reasonable in design, high in calculation precision and suitable for model selection and optimization design of the leaf spring torsional vibration damper.

The invention discloses a quick calculation method for an auxiliary surface deformation position posture based on the strain of an antenna supporting leg. The method comprises the steps that structural parameters, working frequencies and material attributes of a main surface, an auxiliary surface, the supporting leg and a back rack of a double-reflection-surface antenna and the distribution positions and number of strain sensors are determined; measurement values of the strain sensors on the antenna supporting leg are extracted, and a finite element model is established; nodes of a junction ofthe antenna supporting leg and the auxiliary surface and corresponding modal vibration mode matrixes are determined; nodes at the strain sensors on the antenna supporting leg and corresponding strainmodal vibration mode matrixes are determined; generalized modal coordinates of the antenna auxiliary surface are calculated; displacement of a connection point of the antenna supporting leg and the auxiliary surface is calculated; the position of the deformed connection point of the antenna supporting leg and the auxiliary surface is calculated; the translation amount of a vertex of the auxiliarysurface before and after deformation and a coordinate conversion matrix before and after deformation of the connection point are calculated, and the position posture after deformation of the auxiliary surface is obtained. According to the quick calculation method, displacement of the connection point of the antenna supporting leg and the auxiliary surface can be quickly and effectively calculated, and the method helps to meet the index requirement of electric performance of the double-reflection-surface antenna.

The invention discloses a method for predicting the performance of a centrifugal pump serving as a turbine based on an improved artificial neural network. The method comprises the following steps: firstly, calculating the lift HBEP, T and the flow QBEP, T of the optimal working condition point of the pump serving as the turbine at each specific speed in a segmented manner, and calculating the ratio a of the flow Qi to the flow QBEP, T at each working condition point in a turbine state and the square root b of the ratio of the Hi to the HBEP, T corresponding to the Qi; constructing a training set, wherein each training sample comprises geometric parameters, flow, a and b of the centrifugal pump and lift and efficiency corresponding to each flow in a turbine state; constructing an artificial neural network, and simultaneously performing L1 and L2 regularization on the artificial neural network; training the artificial neural network by adopting the training set; and finally, geometric parameters a and b of a to-be-predicted centrifugal pump in a turbine state are input into the trained artificial neural network, and lift and efficiency corresponding to each flow working condition are output. The method is wide in application range, high in prediction precision and short in calculation period.

The invention provides a method of calculating a total process deformation curve of rock mass. The method comprises obtaining structure data of the rock mass, calculating total process deformation data of the rock mass and drawing a total process stress-drain curve of the rock mass. With the weak link strength theory of rock mass mechanics as the basis, the invention obtains structure data of therock mass by comprehensively considering geological conditions of the rock mass, and through SMRM computing software, calculates total process deformation data of the rock mass; and finally, through SMRM computing software again, draws total process deformation data of the rock mass into the total process stress-strain curve of the rock mass, so as to provide rock mass information closer to authentic structure and environmental state for engineering construction and offer important reference data for engineering construction, such that engineering construction design is more reasonable.

The invention provides a PWM signal optimization method for a charging process of a charging pile. The PWM signal optimization method comprises the steps of initializing a prediction equation, carrying out prediction processing and updating a state. The invention relates to electronic equipment and a storage medium which are used to execute the PWM signal optimization method for the charging process of a charging pile. The invention further relates to a PWM signal optimization device for the charging process of the charging pile. A Kalman filtering algorithm used by the invention can process the sampling data in real time, occupies a small memory, does not need to reserve other historical data except the previous state quantity, is high in calculation speed, and conducts new value estimation of the current state according to a specified recursion method only by combining the estimated value calculated by combining the previous state on the basis of the state equation of the system andthe measured value after new data is measured.