7 results about "Specific energy" patented technology

The present application relates to the technical field of drag suction ship, and specifically provides a drag suction ship head self-adaptive control method, system, device and medium based on soil identification, comprising: collecting oil cylinder state, rake head posture, mud parameters and ship speed data in real time through a multi-source sensor network; decoupling effective cutting force from the oil cylinder pressure based on a dynamics model; calculating instantaneous power according to the effective cutting force and the speed, calculating dry soil production according to the mud flow rate and concentration, and then calculating a real-time specific energy index; comparing the specific energy index with a preset threshold value, and comprehensively determining the soil type in combination with the fluctuation trend of the effective cutting force; and adaptively adjusting the dredging parameters according to the soil type. The present application can accurately identify soil in real time and adaptively match the dredging process, significantly improving the operation efficiency and equipment safety under complex geological conditions.

The application provides a microwave electrothermal thruster performance prediction method and system based on heat loss power evaluation, which calculates initial specific energy and temperature estimation value by inputting total power and working medium flow. Then, a heat balance equation is constructed to solve the temperature of the inner and outer walls of the resonant cavity, so as to obtain the wall heat loss power and calculate the actual absorbed microwave power. The specific energy and temperature estimation value are recalculated by using the power, and the process is taken as a cycle, and the output temperature is fed back to the heat balance equation for iteration. When the temperature difference of two adjacent iterations is less than a preset threshold, the iteration is stopped, and the final iteration temperature is taken as the actual working medium temperature, so that the thrust and specific impulse performance parameters of the thruster can be accurately predicted.

The application discloses an intelligent polishing state monitoring method based on multi-sensor fusion, and relates to the technical field of industrial automation and intelligent control.The method is based on multi-source features of grinding specific energy, thermal shock, mechanical vibration and surface morphology to construct a comprehensive state value to represent the overall load level;by analyzing the time sequence evolution of the comprehensive state value, the prediction residual is extracted and a dynamic noise benchmark is established, and then the interference degree of the current environment is evaluated;based on the interference degree, a global scaling factor is generated to synchronously and adaptively correct the discrimination benchmark of each feature branch, and the confidence is calculated based on the abnormal grid point proportion, the comprehensive state value and the adaptive benchmark value;according to the confidence level, multi-dimensional collaborative verification is performed, and the corresponding hierarchical response strategy is triggered.The application realizes the intelligent monitoring of the whole process of the polishing operation from state perception, reliable evaluation to control through the adaptive adjustment mechanism, and improves the intelligent level of the polishing process monitoring.

The invention relates to an energy consumption modeling and multi-parameter risk identification method for complex stratum shield construction, and solves the problems that in the complex stratum shield construction, due to the high-dimensional and nonlinear coupling relation between geology and multiple parameters, the energy consumption prediction precision of an existing method is insufficient, and the energy consumption prediction accuracy is poor. The method comprises the steps that shield construction parameters and geological information are collected, geological features are extracted, and key parameters are screened. And constructing a Gaussian process regression model to predict tunneling specific energy, and optimizing a kernel function. Variable edge distribution is fitted, joint distribution is established through Copula, and an optimal model is selected. A sample is generated through Monte Carlo simulation, and a high-energy-consumption threshold value is set to recognize a high-risk working condition. And key parameter combinations are extracted to generate a probability density thermodynamic diagram, and risk early warning and operation optimization are realized. The method has the advantages that accurate prediction of shield construction energy consumption is achieved, the high-energy-consumption risk working condition is recognized from the probability level, and active early warning and operation optimization are supported.

A method for calculating mechanical specific energy of hydraulic percussion drilling based on a stress wave theory relates to the technical field of drilling engineering and comprises the following steps: acquiring working parameters of a hydraulic percussion drilling system, calculating actual speed of a hydraulic drill bit and actual stress acting on rocks during working by combining energy conversion of acting of an impactor and drilling fluid influence, and calculating the mechanical specific energy of the hydraulic percussion drilling system according to the actual speed and the actual stress. The actual stress acting on the rock is considered, a calculation model of the total specific energy consumed by the rock in unit volume is established, and the total specific energy in the whole drilling process is accurately evaluated through the calculation model and is applied to real-time optimization control of drilling parameters. According to the high-frequency hydraulic impactor drilling mechanical specific energy calculation method provided based on the stress wave theory, a drilling fluid-piston-drill bit-rock stress wave propagation model considering the drilling fluid influence is established, and the calculation precision of the MSE under the drilling fluid-related impact drilling working condition is improved; and a more reliable data basis is provided for MSE-based drilling parameter optimization, drilling tool state monitoring and lithology identification.

The invention discloses an in-situ self-excitation measurement blasthole near-field surrounding rock grading method, and relates to the technical field of tunnel construction, and the technical key points comprise the following steps: S1, when a rock drill drills, obtaining the work done by the impact force in the impact process; s2, in the rotation process of the rock drill, a piston returns to drive a drill rod to rotate, and torque is obtained for acting; s3, in combination with the drilling time of the rock drill, obtaining the volume of the damaged rock; s4, the drilling specific energy e is obtained through calculation; s5, the uniaxial compressive strength of the rock is obtained through drilling specific energy fitting; and surrounding rock grading is achieved. The specific energy of a drilling machine is calculated through operation parameters of the rock drill in the drilling process, the uniaxial compressive strength of the rock mass is predicted in real time according to the correlation between the rock mass strength and rock mass fracture, the rock drill is used for impacting the rock mass in the drilling process to serve as an excitation source, blast hole wall vibration signals are collected, the rock mass wave velocity is obtained, and the rock mass integrity coefficient is calculated through the wave velocity.