27 results about "Stability parameter" patented technology

The invention relates to the technical field of tunnel reinforcement, in particular to an active supporting and reinforcing method for a tunnel face. The reinforcing method comprises the following steps that a tunnel is excavated in stratum surrounding rock with the strain hardening characteristic; after the tunnel is excavated, stability parameters of surrounding rock are monitored in real time; a reinforcing mesh is applied to the tunnel face, and the edge of the reinforcing mesh is connected with the edge of the tunnel face; tightening the reinforcing mesh through a concentrator until the reinforcing mesh is completely tightened, so that the reinforcing mesh actively applies pressure to the tunnel face; and after the surrounding rock reaches the self-stabilization state, the reinforcing mesh is removed, and excavation operation of the next cycle is carried out. According to the reinforcing method, pressure is actively applied to the tunnel face by tightening the reinforcing mesh, so that the fractured rock mass is re-compacted under the combined action of the vertical load and the active pressure, self-healing of the fractured rock mass is achieved, and safety and stability of tunnel construction are guaranteed. According to the reinforcing method, the bearing capacity of the surrounding rock is utilized to the maximum extent, tunnel face supporting work can be reduced, and supporting materials are saved.

The embodiment of the invention provides a production equipment system safety reliability analysis method based on energy action, and belongs to the field of system reliability and production safety, the method comprises the following steps: constructing an energy activity model according to equipment bearing energy in a production system, and analyzing the activity rule of the energy activity model to obtain energy influence parameters; according to the energy influence parameters, safety and reliability analysis is carried out on the production system from self-stability, other stability and stability resistance to obtain safety and reliability parameters, and the safety and reliability parameters comprise a self-stability parameter, an anti-interference parameter and an other-stability parameter; according to the method, the problem of safety and reliability evaluation of the production system in the production process is solved, and an effective way is provided for improving the safety and reliability of the production system.

The application provides an AGV control method, an AGV control device and an AGV, and the AGV control method comprises the following steps: acquiring stability parameters of the AGV when the AGV is working, wherein the stability parameters comprise but are not limited to a gravity center position parameter, an inclination angle parameter and a vibration frequency parameter of the AGV; sequentially performing gravity center stability analysis, inclination stability analysis and vibration stability analysis according to the stability parameters, and generating corresponding analysis results; determining a stability state of the AGV according to the analysis results, and determining a response action of the AGV according to the stability state of the AGV. According to the application, the stability parameters of the AGV when the AGV is working are acquired, the stability state of the AGV is determined according to the stability parameters, and when the stability of the AGV is poor, the corresponding stability parameters of the AGV are intelligently adjusted, so that the stability parameters of the AGV are adjusted to be within a normal range, the normal operation of the AGV is ensured, and the stability, reliability and safety of the AGV are improved.

The invention relates to an intelligent monitoring technology, and discloses an intelligent monitoring method and system for an automatic hardware product assembly production line, and the method comprises the steps: collecting the operation parameters and vibration parameters of production line equipment in real time, carrying out the resonance signal recognition of the vibration parameters of the equipment, completing the resonance denoising according to the resonance signal, and obtaining the denoised vibration parameters; and performing stability analysis by combining the de-noising vibration parameter and the equipment operation parameter to obtain a stability parameter, judging whether the stability parameter exceeds a preset stability threshold, and if the stability parameter is smaller than or equal to the stability threshold, triggering an equipment instability alarm. Otherwise, continuously collecting product images in the production line to generate a sequence, analyzing product consistency based on the sequence to obtain a consistency index, judging whether the consistency index exceeds a preset consistency threshold, if so, returning to continuously collect equipment parameters, and if not, triggering a product defect alarm. The monitoring efficiency of the hardware product automatic assembly production line can be improved.

The application discloses a kind of building construction repair material performance comprehensive test method and system, it is related to building material performance test technical field, by the implementation of step S1 to step S4, can simultaneously obtain the water loss rate parameter Wrt, interface residual stress parameter Sre and micro crack initiation rate parameter Crt in the same test procedure, and via the construction of normalization set Nor and feature set Ftr, so that these multidimensional features are jointly included in analysis, not like existing method only detects dry shrinkage or interface stress alone, leading to the coupling effect of missing material performance evolution, by further calculating composite stability parameter Ers and comparing with threshold set Ths, risk level identification Rlv can be directly obtained, and control suggestion instruction Cmd is generated simultaneously, so that test result not only gives the quantitative risk level of material performance, can effectively solve the deficiency that existing detection means cannot comprehensively determine multidimensional risk.

The invention discloses a side slope retaining wall design method with buffering and pressure reducing functions. The side slope retaining wall design method comprises the following steps that the total lateral pressure of a soil body is obtained; lateral acting force borne by the retaining wall is obtained according to the deformation; calculating to obtain the thickness of the buffer decompression layer; the stability parameter, the base bearing and the section strength of the retaining wall are calculated, and whether the stability parameter, the base stress and the section strength meet preset requirements or not is judged. According to the method, the problem of insufficient thickness or material waste caused by empirical value taking is avoided, and economy is taken into consideration while the optimal pressure reduction effect of the buffer layer is achieved. And through the closed-loop process of checking calculation, adjustment and re-calculation, it is ensured that the stability, the bearing capacity and the section strength of the retaining wall in the whole life cycle all meet the preset requirements. According to the method, through accurate calculation and parameter optimization, material and construction cost waste caused by conservative design is avoided, and later maintenance and reinforcement investment caused by insufficient parameters is prevented.

The application discloses a kind of baffle type stability discrimination method of one-word steel plate concrete composite wall component. The stability parameters of the component in plane and out of plane are obtained by calculating and processing the wall component, and the initial stability stress ratio of each is obtained by initializing calculation. The final stability stress ratio is obtained by iterative cycle processing according to the current stability stress ratio. The stability discrimination result of the wall component is obtained by judging and processing the final stability stress ratio obtained by the iteration of in-plane and out-of-plane. The stress ratio initial value formula considering the stability coefficient is introduced by the strength formula stress ratio analytical solution, which greatly improves the iteration efficiency, and the numerical differential form is used to gradually approach the stability stress ratio, which has faster convergence speed.

The invention discloses a multi-suspended-span elastic bearing fluid conveying pipe stability parameter prediction method, and relates to the technical field of fluid conveying pipe vibration characteristic analysis. A multi-suspended-span pipeline is divided into a plurality of independent pipe sections at the supporting position, vibration control equations for describing all the suspended-span pipelines are established respectively, and the vibration control equations only consider the coupling effect of bending force, centrifugal force, gravity, Coriolis force and inertia force of the pipeline and do not contain any middle supporting constraint term; the intermediate support constraint is completely written into the cross-coupling boundary condition, so that the defects that the traditional Dirac function method is fuzzy in significance and the numerical calculation is difficult to converge are avoided; carrying out dimensionless processing on an oscillatory differential equation by introducing a dimensionless parameter, deducing to obtain a characteristic equation, a characteristic function and a characteristic value under the complex boundary condition by combining the end elastic boundary and the cross coupling constraint, converting a partial differential equation into an ordinary differential equation set, and carrying out matrix solution, so as to obtain an oscillatory differential equation set; and finally, an accurate prediction value of the inherent frequency can be obtained.

Disclosed herein are stability-enhanced formulations that comprise a therapeutic protein and a stability-improving amount of a stabilizing excipient, wherein the stabilized-enhanced formulation is characterized by an improved stability parameter in comparison to a control formulation otherwise identical to the stability-enhanced formulation but lacking the stabilizing excipient. Further disclosed herein are methods of improving stability of therapeutic formulations or improving parameters of protein-related processes.

A method for loading at least one transport unit (13) with packages (2) is described and shown. In order to avoid damage to the parcels due to shipment of the parcels into the transport unit, it is proposed that the parcels (2) are sequentially scanned with an optical scanner (7); acquiring, by the evaluation unit (11), at least one stability parameter by means of an image taken by the optical scanner (7) for each parcel (2); the evaluation unit (11) assigns a stability score to each parcel (2) on the basis of the at least one stability parameter; and shipping the parcels (2) to different locations in the at least one transport unit (13) according to the respective stability scores.

A method for loading at least one transport unit with packages is described and illustrated. In order to prevent damage to packages as a result of loading the packages into a transport unit, it is provided that the packages are scanned one after another with an optical scanner, that at least one stability parameter for each package is determined based on the images of the optical scanner by an evaluation unit, that the evaluation unit assigns a stability score to each package based on the at least one stability parameter, and that the packages are loaded into different locations in the at least one transport unit depending on the respective stability scores.

This invention discloses a method, apparatus, device, and readable storage medium for determining interface stability, applied in the field of artificial intelligence. The method includes: initiating a preset number of calls to the service interface to be evaluated based on a multi-round call strategy, obtaining the execution status and response data corresponding to each call; determining at least two interface stability indicators based on the execution status and response data; determining the output content under a successful call based on the execution status and response data, and determining at least two content stability indicators based on the output content; and determining a comprehensive stability parameter based on the parameter values ​​corresponding to the interface stability indicators and the parameter values ​​corresponding to the content stability indicators. This invention, by designing a multi-round call strategy, achieves batch and reproducible collection of stability data at the AI ​​service interface layer, solving the problem of passive collection, constructing a dual-dimensional stability evaluation system for the interface layer and content layer, realizing the integrated evaluation of both, and improving the accuracy of stability evaluation.

The invention discloses a quantitative method for evaluating an emulsification effect, which comprises the following steps: S1, weighing an oil phase, a water phase and a surfactant in a reactor, primarily stirring, and uniformly dispersing to form an emulsion; s2, taking part of the emulsion, and carrying out particle size distribution measurement to obtain an average particle size and a particle size distribution coefficient; performing layering time testing to obtain layering time; performing a centrifugal stability test to obtain centrifugal stability parameters; performing an interfacial tension test to obtain an interfacial tension; carrying out a viscosity test to obtain the emulsion viscosity; carrying out transmissivity testing to obtain the transmissivity of the emulsion; carrying out microscopic observation test to obtain molecular concentration parameters; s3, evaluating the emulsification effect according to the average particle size, the particle size distribution coefficient, the layering time, the centrifugal stability parameter, the interfacial tension, the viscosity, the transmissivity or the molecular concentration parameter. According to the quantitative method for evaluating the emulsification effect, the problem that the emulsification effect cannot be comprehensively and comprehensively evaluated in the prior art is solved.

The present application relates to a kind of artificial fracture extension stress gradient prediction method, belong to the field of petroleum engineering, including: collection basic data;Calculate the overburden stress of reservoir section;Obtain formation real pore pressure;Calculate rock mechanics parameters;Calculate geostress, including maximum horizontal principal stress and minimum horizontal principal stress;Calculate wellbore stability parameters, including reservoir section formation breakdown pressure and reservoir section formation collapse pressure, and based on actual drilling leakage parameter correction reservoir section's leakage pressure, based on actual drilling hole diameter data, correction reservoir section's collapse pressure;Calculate the artificial fracture extension stress gradient of reservoir reconstruction well section.The present application can accurately obtain the artificial fracture extension stress gradient size of the rock of reservoir section, provide basis for completion equipment optimization design and reservoir reconstruction parameter optimization, to realize efficient reconstruction and production increase.

The invention discloses a method for rapidly judging the crack stability of a tunnel lining under a uniform stratum. The method comprises the following steps: step 1, obtaining geometrical characteristic parameters and the like of cracks at different spatial positions on the surface of the tunnel lining; 2, establishing a three-dimensional geometric model of a tunnel lining in a finite element calculation environment, and calculating a stress intensity factor of a crack tip; 3, based on the stress intensity factor of the crack tip, calculating to obtain a crack stability parameter f; 4, taking geometrical characteristic parameters and the like of the cracks at different spatial positions on the surface of the tunnel lining as input characteristics, taking crack stability parameters as output labels, and constructing a structured sample database for machine learning training; 5, setting the structure of the machine learning model, and training; and 6, acquiring crack data of a to-be-judged area, inputting the trained and optimized machine learning model, and quickly judging the lining stability.

The application discloses a kind of multi-span elastic supporting flow pipe stability parameter prediction method, it is related to flow pipeline vibration characteristic analysis technical field.By splitting the support position of multi-span pipeline into multiple independent pipe sections, vibration control equations describing each span pipeline are established respectively, the vibration control equations only consider the coupling effect of bending force, centrifugal force, gravity, coriolis force and inertia force of the pipeline, and do not contain any intermediate support constraint term;The intermediate support constraint is completely written into the inter-span coupling boundary condition, which avoids the defects of ambiguous meaning and difficult to converge in numerical calculation of traditional Dirac function method;By introducing dimensionless parameters to dimensionless the vibration differential equation, combined with the above elastic boundary and inter-span coupling constraint, the characteristic equation, characteristic function and eigenvalue under the complex boundary condition are derived, and the partial differential equation is converted into a system of ordinary differential equations after matrixization solution, and finally the accurate prediction value of natural frequency can be obtained.

An embodiment of the present invention provides a method for analyzing the safety and reliability of a production equipment system under energy action, which belongs to the field of system reliability and production safety. The method includes: constructing an energy activity model based on the energy carried by equipment in the production system, analyzing the activity rules of the energy activity model to obtain energy impact parameters; based on the energy impact parameters, performing a safety and reliability analysis on the production system from the perspective of self-stability, internal stability, and anti-stability to obtain safety and reliability parameters, wherein the safety and reliability parameters include self-stability parameters, anti-interference parameters, and external stability parameters; determining the functional requirements of the production system based on the safety and reliability parameters to ensure the safety and reliability of the system. This method solves the problem of safety and reliability evaluation of the production system during the production process, and provides an effective way to improve the safety and reliability of the production system.

A method for estimating a quantity of a system (1) comprising the following steps: - for each variable of a plurality of variables, obtaining a sequence of successive measurements, - determining a sequence of successive values ​​of a stability parameter, the parameter being a weighted sum of the rates of change of the variables, - identifying a time interval in which the stability parameter is less than or equal to a predetermined threshold for a duration greater than or equal to a predetermined duration, - estimating a sequence of successive estimates of a particular variable, a temporal start of the sequence being included in the time interval, - comparing the sequence of estimates and the sequence of measurements to determine a calibration parameter, and - estimating the physical quantity of the system (1) using the calibration parameter. Figure for the abstract: Fig. 10

A method for loading at least one transport unit (13) with packages (2) is described and illustrated. To avoid damage to the packages during loading into a transport unit, it is provided that the packages (2) are scanned one after the other with an optical scanner (7), that an evaluation unit (11) determines at least one stability parameter of each package (2) based on the images from the optical scanner (7), that the evaluation unit (11) assigns a stability score to each package (2) based on the at least one stability parameter, and that the packages (2) are loaded at different locations in the at least one transport unit (13) depending on the respective stability scores.

This application relates to the technical field of stability testing of Tbox, and particularly to a stability testing method, device, equipment and storage medium for vehicle networking terminals. The method includes: obtaining a stability test task for the to-be-tested vehicle networking terminal, where the stability test task includes test items and the number of test times; controlling the to-be-tested vehicle networking terminal to perform stability testing with the stability test task, and using the Selenium tool to collect the stability parameters of the to-be-tested vehicle networking terminal during stability testing; generating a stability report for the to-be-tested vehicle networking terminal from the stability parameters, and generating a stability analysis result based on the stability report. Thus, the problems in the related art of needing to manually record the test results and the test duration are solved, the labor cost and the probability of human error are reduced, the test efficiency is improved, and the test cost is lowered.

The invention discloses a building construction repair material performance comprehensive test method and system, and relates to the technical field of building material performance tests.Through implementation of the steps S1 to S4, a water loss rate parameter Wrt, an interface residual stress parameter Sre and a microcrack initiation rate parameter Crt can be obtained at the same time in the same test process; through construction of a normalization set Nor and a feature set Ftr, the multi-dimensional features are jointly analyzed instead of the coupling effect of omission of material performance evolution caused by the fact that drying shrinkage or interface stress is only detected independently in an existing method, and by further calculating a composite stability parameter Ers and comparing the composite stability parameter Ers with a threshold set Ths, the stability of the composite stability parameter Ers is improved. According to the method, the risk level identifier Rlv can be directly obtained, and the control suggestion instruction Cmd is synchronously generated, so that the quantitative risk level of the material performance is given by the test result, and the defect that the multi-dimensional risk cannot be comprehensively judged by the existing detection means can be effectively overcome.

The application discloses a kind of slope retaining wall design methods with buffer decompression function, comprising the following steps: obtaining the lateral total pressure of soil body;According to the deformation amount, the lateral force received by retaining wall is obtained;The thickness of buffer decompression layer is calculated;The stability parameters of retaining wall, base bearing and section strength are calculated, and whether stability parameters, base stress and section strength meet preset requirements are judged.This method avoids the problem of insufficient thickness or material waste caused by experience value, ensures that the buffer layer plays the optimal decompression effect while considering economy.Through the closed-loop process of checking, adjusting and recalculating, it is ensured that the stability, bearing capacity and section strength of the retaining wall meet the preset requirements throughout its life cycle.Through accurate calculation and parameter optimization, this method not only avoids the waste of material and construction cost caused by conservative design, but also prevents the investment in later maintenance and reinforcement caused by insufficient parameters.

The present application belongs to the field of data processing, and provides a method, system and device for optimizing stability parameters of a herringbone ladder outrigger, wherein the lateral outward movement is used as redundancy, the horizontal loading force is divided by the lateral stiffness, and the effective half-width without outward extension is obtained by subtracting the lateral outward movement from the half-width without outrigger; the minimum moment extension is the non-negative part of the difference between the required half-width and the effective half-width without outward extension, and the minimum anti-slide extension is the tangent function of the directional margin angle multiplied by the anchor point height; whether the parameters of the herringbone ladder need to be optimized is determined according to whether the maximum value in the minimum moment extension and the minimum anti-slide extension falls within the extension constraint interval. Thus, design, manufacturing and testing can be unified, trial and error can be reduced, stability can be improved, and the first-time pass rate of type testing can be improved.

This application provides a method and apparatus for selecting the material ratio of a semiconductor diaphragm valve. In this application, a sample set is constructed using the stability parameters of each stability item of the experimental material and the mass percentage of each component. Multiple models corresponding to each stability item are then constructed using the sample set, and each stability item is fitted to obtain a predictive model. Finally, the predictive model is used to predict the stability of the target mass percentage of each input component, thereby obtaining the components that meet the constraints. In this application, the predictive model is constructed using real data, and then constraints are set to select appropriate mass percentages of each component. Compared to conducting experiments on every material, this application helps to narrow the scope of experiments, thereby shortening the R&D cycle and reducing costs.

The invention discloses a virtual power plant frequency stability optimization method and system and computer equipment, and relates to the technical field of power system control, and the method comprises the steps: obtaining a stability parameter of a virtual power plant, and carrying out the per-unit processing of the stability parameter, and obtaining per-unit data; calculating a frequency stability evaluation value of the virtual power plant, if the stability evaluation value is smaller than a preset threshold value, performing iterative setting on the stability parameter through the setting factor to obtain per unit data after iterative setting, and readjusting the setting factor according to the number of iterations; recalculating according to the per-unit data after iteration setting to obtain a frequency stability evaluation update value of the virtual power plant until the frequency stability update value is not less than a preset threshold value; and calculating the frequency stability improvement rate of the virtual power plant through the per-unit data before the iterative setting and the per-unit data after the iterative setting. According to the method, the frequency stability optimization of the virtual power plant can be accurately and quickly realized.

The invention belongs to the field of data processing, and provides a method, a system and equipment for optimizing external support stability parameters of a herringbone ladder, and the method, the system and the equipment are obtained by dividing a horizontal loading force by lateral rigidity after lateral outward movement is used as redundancy, and an extension-free effective half width is obtained by subtracting lateral outward movement from an external support-free half width; the minimum torque overhanging is a non-negative part of a difference value obtained by subtracting an overhanging-free effective half width from a required half width, and the minimum anti-sliding overhanging is obtained by multiplying a tangent function of a direction margin angle by an anchor point height; and judging whether the parameters of the herringbone ladder need to be optimized or not according to whether the maximum value of the minimum torque extension and the minimum anti-sliding extension is within the extension constraint interval or not. Therefore, design-manufacturing-testing can be unified, trial and error are reduced, and the stability and the one-time passing rate of a type test are improved.

The application provides a control method and device of a power heat pipe air conditioner, which comprises the following steps: obtaining an operating parameter of a refrigerant pump when an air conditioning unit is operating; obtaining a stability parameter of the air conditioning unit operating according to the operating parameter; and adjusting the operating mode of the air conditioning unit to the operating mode of the air conditioning unit that meets the stability requirement and has the lowest energy consumption according to the stability parameter. By collecting the operating parameter during the operation of the air conditioning unit, the stability parameter that can reflect the operating state of the air conditioning unit is calculated through the operating parameter, and then the operating mode of the air conditioning unit can be finally adjusted to the state with the lowest energy consumption while meeting the stability requirement on the premise of the stability parameter, so that the operating mode of the air conditioning unit can better balance the stability operation and energy consumption, and the problem that the power heat pipe air conditioner cannot effectively guarantee the stable operation while fully reducing the energy consumption in the related art is solved.