25 results about "Stability coefficient" patented technology

The application provides a transformer fault monitoring method and system, which comprises the following steps: collecting multi-source monitoring data at a risk monitoring section in a tunnel; calculating a first state index reflecting structural stiffness degradation and a second state index reflecting a structure-seepage field coupling stability coefficient under the action of seepage water; calculating a comprehensive state index of the monitoring section at a target time through a preset dynamic evaluation model, and generating corresponding structure state grades and early warning information. Through the fusion of multi-source heterogeneous monitoring data and the construction of a dynamic evaluation model, more accurate and forward tunnel structure state perception and early warning can be realized, the limitations of traditional single threshold alarm are overcome, the lining mechanical property attenuation, groundwater seepage activity and water corrosion effect are coupled and quantitatively evaluated through the calculation of the structural stiffness degradation index and the seepage-structure coupling stability index, and the accuracy of state discrimination is significantly improved.

The present application relates to the technical field of new energy automobile driving motor stator assembly, in particular to a micro size analysis and evaluation method for vehicle driving motor stator assembly, which comprises the following steps: before the stator assembly is assembled, the micro size of the stator tooth space is accurately measured, then the micro size of the tooth space is subjected to Fourier decomposition and analysis, the stability coefficients of the second-order component and the high-order component of the micro size are calculated in sequence, the comprehensive evaluation coefficient of the micro size of the stator assembly is obtained by integration, and the score and risk rating are completed according to the preset grading standard. The method realizes the quantitative analysis and early risk prediction of the micro size of the stator tooth, can effectively avoid the problems of noise deterioration, layered deformation and scanning failure after assembly, reduces the waste of samples, shortens the detection period and improves the assembly reliability of the motor.

The application discloses a surrounding rock strength calculation method and system based on prestressed anchor equivalent supporting reaction, relates to the technical field of surrounding rock data processing, and comprises the following steps: obtaining initial mechanical parameters of surrounding rock, tunnel excavation parameters and design parameters of anchor supporting; based on the design parameters, calculating the cohesion increment, the elastic modulus of the anchor surrounding rock composite structure and the equivalent supporting reaction respectively; superimposing the cohesion increment and the initial cohesion of the surrounding rock to obtain the total cohesion; applying the equivalent supporting reaction as a boundary condition to a bearing arch model; parallelly calculating the rock mass strength safety factor, the anchoring system efficiency coefficient and the comprehensive deformation stability coefficient; and synthesizing the rock mass strength safety factor, the anchoring system efficiency coefficient and the comprehensive deformation stability coefficient to obtain the final surrounding rock strength safety factor. Through quantitative analysis, the application reduces the possibility of engineering risk and provides technical support for this special and complex engineering type of large-span tunnels.

The application relates to the technical field of mining, and provides a mining method and system based on improved mathews stope stability analysis. In the method, in response to the fact that the target stope exists in advance support, the stress coefficient of the target stope is corrected and the influence coefficient of the pillar on the stability of the target stope is introduced when the stability coefficient of the target stope is determined; then, the stability of the target stope is analyzed through the position of the control span of the target stope and the stability coefficient of the target stope in the improved Mathews stability graph of the stope stability analysis which is constructed in advance. Through the correction of the stress coefficient of the stope and the introduction of the influence of the pillar on the stability of the stope, the advance support of the stope and the role of the pillar in the stability are fully combined, so that the target stope stability can be more scientifically and accurately analyzed, and the analysis precision of the target stope stability is improved.

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.

This invention discloses a method for identifying and analyzing the structural surfaces of rock masses based on handheld laser scanning, belonging to the field of rock mass stability analysis. The method includes the following steps: S1, scanning the surface of the rock mass under test using a handheld 3D laser scanner to form a complete 3D triangular mesh surface model of the rock mass surface; S2, segmenting multiple candidate planar pieces; S3, grouping and iteratively merging the candidate planar pieces to obtain structural surface groups belonging to the same structural surface; S4, acquiring structured data files; S5, identifying key movable blocks under free-face conditions of the rock mass; S6, estimating the preliminary stability coefficients of the key movable blocks; S7, generating a numerical calculation model using the continuous-discontinuous element method containing explicit joint networks; S8, assigning mechanical parameters; S9, numerically solving the problem to obtain the stress, displacement, and potential failure mode analysis results of the rock mass; S10, dynamically updating. Using the above-mentioned method for identifying and analyzing the structural surfaces of rock masses based on handheld laser scanning, an integrated rock mass stability analysis system is constructed that balances engineering assessment efficiency and analytical accuracy while significantly reducing subjective errors.

This invention relates to the field of parking space prediction and parking guidance technology, specifically to a service area remaining parking space prediction and parking guidance method based on time-series analysis. The method includes: obtaining a comprehensive stability coefficient based on the vehicle type and any parking space type; obtaining a highway traffic flow impact coefficient based on the number of vehicles on the highway heading to the service area that match the parking space type and the parking space's vacancy time, and the corresponding number of available parking spaces; obtaining a comparison benchmark based on the historical time period, traffic density, and dwell time corresponding to the current moment; obtaining a deviation degree of traffic flow dwelling pattern based on the comparison benchmark and a preset off-peak time benchmark; obtaining the probability that a vehicle will occupy an available parking space of a certain type based on the comprehensive stability coefficient, highway traffic flow impact coefficient, and traffic flow dwelling pattern deviation degree; and guiding the vehicle based on the comparison result between the probability and a preset threshold. Using this invention, parking space prediction and parking guidance can be performed with relatively high accuracy.

This invention provides a method and system for predicting the out-of-plane stability bearing capacity of a parabolic arch made of steel-concrete composite tubular (SCCB) structure, belonging to the field of SCCB structures. To address the problem that existing SCCB arch bearing capacity calculation methods only consider in-plane stability and, based on experience, require an elastic stability safety factor of not less than 4, cannot directly obtain the out-of-plane stability bearing capacity, this invention proposes a regularized slenderness ratio calculation method that considers the influence of non-directional forces, considering the factors affecting the out-of-plane stability bearing capacity of the parabolic arch. For initial stress, a method for calculating the initial stress influence amplification factor is proposed; for creep, a method for calculating the creep influence amplification factor is proposed; and a modified Perry formula is used to obtain a stability coefficient calculation method, thereby obtaining the out-of-plane stability bearing capacity. This invention does not rely on parameter analysis, greatly simplifying the parameter analysis process. The stability bearing capacity calculation formula is simple, and the arch is transformed into an axially compressed column, solving the problem of introducing the influence of initial stress and creep into the arch stability bearing capacity formula.

The application discloses an open pit slope groundwater seepage and stability coupling early warning method and system, belongs to the field of geotechnical engineering monitoring and geological disaster early warning, and the method comprises the following steps: acquiring real-time monitoring data set of the open pit slope; calculating the volume strain state of the slope rock mass unit based on the surface displacement vector data, and combining a rock mass damage evolution model to inversely calculate the permeability coefficient tensor of the slope rock mass at the current time, thereby generating a dynamic permeation parameter set; taking the rainfall data and the groundwater level data as boundary conditions, and inputting the dynamic permeation parameter set into a three-dimensional unsaturated seepage-stress coupling model for iterative calculation; and according to the pore water pressure field distribution data and the stress field distribution data, calculating the real-time stability coefficient of the slope by using a strength reduction method, generating a graded early warning signal and outputting the same. The application realizes two-way strong coupling of fluid and solid, and restores the real disaster-causing mechanism.

The application discloses a kind of open-pit mine horizontal mining inner discharge pressure slope under the action of three-dimensional stability calculation method of side slope, comprising: S1, according to the form of the side slope of the mining area in the research area, weak layer of sliding body and potential sliding surface form, using three-dimensional numerical simulation technology, potential sliding surface spatial form equation is established;S2, based on spatial form equation, the side slope is divided into several i rows, j column micro column, and the stress analysis is carried out to each micro column, respectively calculate the anti-sliding force and the sliding force of each micro column in each region;S3, the force of each row micro column is superimposed along the main sliding line direction, and the total anti-sliding force and the total sliding force on the main sliding line are obtained;S4, three-dimensional slope stability problem is converted into two-dimensional problem solution, and the stability coefficient is calculated using unbalanced thrust method, and the application can provide important theoretical support and technical guidance for safe and efficient recovery of deep slope coal resources.

The application discloses a landslide susceptibility intelligent evaluation method based on feature stability guidance and cost adaptive tightening, which comprises the following steps: collecting and normalizing landslide sample data; calculating feature importance and sorting by random forest; traversing feature subset scale by gradient boosting tree, determining global optimal subset by cross-validation AUC; calculating feature stability coefficient, generating tightening priority queue; trying to remove features in turn by asymmetric cost-sensitive AUC measurement, and accepting if the performance decline is not more than the threshold; adaptively adjusting the threshold and re-tightening after the confrontation verification, recording the historical optimal subset; retraining the model to output the landslide probability. The application realizes feature stability guidance, asymmetric cost-sensitive tightening and self-evolution threshold closed loop, reduces redundant features while maintaining accuracy, and improves generalization and interpretability. The measured AUC reaches 0.897, which is 3.2% higher than that of the traditional GBDT, and the feature is reduced by 40%.

This application belongs to the field of stress assessment for thin-walled structures, and specifically relates to a rapid assessment method for the critical stress of a cylindrical shell structure under external pressure. The method includes: Step 1, calculating the theoretical critical pressure of the cylindrical shell under external pressure based on its geometric parameters; Step 2, obtaining the experimental critical pressure of the cylindrical shell under external pressure through experiments; Step 3, defining a stability coefficient, and fitting a stability coefficient curve based on the theoretical and experimental critical pressures; Step 4, extracting the stability coefficient from the stability coefficient curve based on the geometric parameters, and calculating the critical pressure of the cylindrical shell under external pressure based on the stability coefficient and the theoretical critical pressure. This application, combining experimental results and introducing a stability coefficient K, yields a corrected formula that approximates the experimental results. By plotting the stability coefficient curve and combining it with the geometric parameters of the cylindrical shell, the stability coefficient K can be quickly obtained, thereby rapidly determining the critical pressure of the structure.

This invention discloses a multi-field coupled method and device for controlling the stability of narrow coal pillars in fully mechanized longwall mining, relating to the field of coal mining safety. The method includes: collecting basic parameters of the coal and rock mass; constructing a four-field coupled mathematical model of stress, damage, seepage, and temperature; calculating the stability coefficient and dividing the region into stable, plastic development, and critical instability zones; employing layered grouting with deep and shallow holes, constant resistance large deformation anchor cable support, and large-diameter precise pressure relief coordinated control; and achieving full life-cycle regulation through long-term dynamic monitoring and feedback correction of the model and control parameters. The device includes modules for data acquisition, model construction, region division, coordinated control, and dynamic regulation. This invention overcomes the shortcomings of traditional single-field analysis and fixed control, ensuring long-term stability of the coal pillar through multi-field coupled precise evaluation, zoned differentiated control, and dynamic feedback, and is suitable for controlling narrow coal pillars in fully mechanized longwall mining faces.

This application discloses a statistical method for the delivery timeliness of a remote sensing satellite ground system. The method includes: identifying each stage of the ground system delivery process and constructing a ground system delivery timeliness model. The ground system delivery timeliness model characterizes the delivery time value of the ground system, which is obtained by weighting the time consumption and stability coefficient of each stage. A time sequence is obtained based on the recorded time values ​​for processing each task at each stage, and the time sequence for each stage is normalized to obtain a normalized time sequence. The time consumption and stability coefficient of each stage are calculated based on the normalized time sequence, and the time consumption and stability coefficient of each stage are substituted into the ground system delivery timeliness model to calculate the delivery time value of the ground system. This application solves the technical problem of the lack of a statistical scheme for ground system delivery timeliness capability in the prior art.

The present disclosure relates to the technical field of water conservancy and hydropower, and provides a reservoir stable bank slope angle prediction method and device, a reservoir bank collapse width prediction method and device, a computer program product and an electronic device. The reservoir stable bank slope angle prediction method comprises: determining the underwater stable bank slope line of the reservoir to be predicted according to the underwater stable slope angle of the reservoir to be predicted; building a slope stability analysis model of the reservoir to be predicted based on the underwater stable bank slope line, the geological profile of the reservoir to be predicted and the current preset water bank slope angle; calculating the slope stability coefficient according to the slope stability analysis model, and updating the current preset water bank slope angle in the case that the slope stability coefficient does not reach the preset value, so as to recalculate the slope stability coefficient of the reservoir to be predicted until the slope stability coefficient reaches the preset value, and determining the current preset water bank slope angle as the target water stable bank slope angle. The present scheme can improve the prediction accuracy of the stable bank slope angle.

The application provides a thick-walled high-strength steel pipe concrete bridge pier foundation stability evaluation method, and relates to the technical field of civil safety evaluation.The three-dimensional geometric model of the high-strength steel pipe concrete bridge pier is divided into a bridge pier core area and a steel pipe concrete area, the core area is finely divided by a mode shape partition method, the characteristic parameters related to the stability of the bridge pier in the stress weak position of each sub-area are extracted, a core area stability evaluation function is constructed and evaluated, the axial ultimate bearing capacity and the total normal stress of the overall area are calculated for the steel pipe concrete area, finally, the cross-section ultimate bearing stress is calculated according to the radius ratio of the core area and the overall area, the comprehensive stability coefficient is generated, and the stability evaluation standard of the steel pipe concrete bridge pier is provided.The application realizes the accurate evaluation of the safety of the steel pipe concrete bridge pier structure by the multi-scale partition analysis and the collaborative mechanics method, and constructs a comprehensive stability evaluation system.

The application discloses a kind of plane out-of-plane stability discrimination methods of baffle type special-shaped steel plate concrete composite wall component. For the baffle type special-shaped steel plate concrete composite wall component that has been designed, the out-of-plane stability parameters of the component are calculated and processed, the initial out-of-plane stability stress ratio is obtained by initial calculation, the final out-of-plane stability stress ratio is obtained by iterative cycle processing, and finally the out-of-plane stability result of the baffle type special-shaped steel plate concrete composite wall component is obtained by judgment processing. The application introduces the stress ratio analytical solution of the strength formula and considers the stress ratio initial value processing of the stability coefficient, greatly speeds up the iteration efficiency, and uses the form of numerical differentiation, gradually approaches the stability stress ratio, second-order convergence, and the convergence speed is faster.

This invention discloses a method and system for calculating the strength of surrounding rock based on the equivalent support reaction force of prestressed anchor bolts, relating to the field of surrounding rock data processing technology. The method includes: acquiring the initial mechanical parameters of the surrounding rock, tunnel excavation parameters, and anchor bolt support design parameters; calculating the cohesion increment, the elastic modulus of the anchor bolt-surround rock composite structure, and the equivalent support reaction force based on the design parameters; superimposing the cohesion increment with the initial cohesion of the surrounding rock to obtain the total cohesion; applying the equivalent support reaction force as a boundary condition to the bearing arch model; calculating the rock mass strength safety factor, the anchoring system efficiency coefficient, and the comprehensive deformation stability coefficient in parallel; and synthesizing the rock mass strength safety factor, the anchoring system efficiency coefficient, and the comprehensive deformation stability coefficient to obtain the final surrounding rock strength safety factor. This invention, through quantitative analysis, reduces the possibility of engineering risks and provides technical support for the special and complex engineering type of large-span tunnels.

The application provides a prefabricated building structure stability monitoring method and system, and relates to the technical field of building safety monitoring.The method comprises the following steps: acquiring node monitoring data through a sensor combination arranged at a node at multiple time points in a monitoring period; acquiring real-time environmental data at multiple time points in the monitoring period; acquiring building design information; determining a node health coefficient according to the node monitoring data; determining a dynamic node weight according to the node health coefficient, the building design information and the node monitoring data; determining an overall building stability coefficient according to the real-time environmental data, the dynamic node weight and the node health coefficient; and monitoring the structural stability of a building to be measured according to the node health coefficient and the overall building stability coefficient.According to the application, the health conditions of nodes and the overall building can be monitored respectively, and the accuracy of building structure stability monitoring is improved.

This invention provides a method and system for dynamic assessment of tunnel structures. The method includes the following steps: collecting multi-source monitoring data at risk monitoring sections within the tunnel; calculating a first state index reflecting structural stiffness degradation and a second state index reflecting the structure-seepage field coupling stability coefficient under the influence of seepage water; and calculating the comprehensive state index of the monitoring section at a target time using a preset dynamic assessment model to generate the corresponding structural state level and early warning information. By integrating multi-source heterogeneous monitoring data and constructing a dynamic assessment model, more accurate and forward-looking tunnel structure state perception and early warning can be achieved, overcoming the limitations of traditional single-threshold alarms. By calculating the structural stiffness degradation index and the seepage-structure coupling stability index, the attenuation of lining mechanical properties, groundwater seepage activity, and water corrosion effects are coupled and quantitatively assessed, significantly improving the accuracy of state judgment.

The present application belongs to the technical field of geological disaster prevention, and relates to a method for evaluating and preventing secondary collapse disaster of mountainous highway slope after earthquake. The evaluation method comprises the following steps: obtaining disaster-pregnant factor data of the slope; identifying the main control interval of dangerous rock development according to the disaster-pregnant factor data; analyzing the evolution stage of the collapse disaster process, establishing a dangerous rock stability evaluation model considering the time-effect characteristics of water-induced deterioration of structural plane, and calculating the dangerous rock stability coefficient; and judging the instability risk grade of the dangerous rock according to the comparison result of the stability coefficient and the preset threshold value. The present application improves the evaluation of secondary collapse disaster after earthquake from subjective judgment relying on expert experience to a standard method which is repeatable and quantifiable. By introducing the time-effect characteristics of water-induced deterioration of structural plane, the present application makes up for the deficiency of traditional evaluation methods which cannot reflect the dynamic decline of dangerous rock stability in the rainfall process. The final output risk grade provides clear and intuitive quantitative basis for highway operation and disaster prevention decision-making.

This invention is a slope stability verification method combining the Swedish circular arc method with monitoring data. Specifically, it involves: reviewing geological survey data of the target slope to obtain initial soil and rock strength parameters and slope angle; installing deformation sensors on the slope surface and underground to acquire real-time slope deformation data; identifying the potential circular arc slip surface of the slope using the three points with the largest deformation; dividing the soil within the potential circular arc slip surface into equal parts of fixed width; and directly calculating the center height and vertical angle of the i-th soil strip using a geometric analytical method based on the geometric parameters of the potential circular arc slip surface and the slope angle; and performing limit equilibrium stability calculations based on the initial soil and rock strength parameters, the calculated soil strip height, and the vertical angle to obtain the stability coefficient of the potential circular arc slip surface, thus verifying the slope stability. This invention not only provides a scientific basis for slope safety management but also makes preventative maintenance and precise management possible, effectively preventing disasters.

The present application relates to the technical field of metal finish rolling processing, and specifically discloses a finish rolling method for high-speed steel roller, which comprises the following steps: collecting roller body axial temperature data and roller surface oxidation data in the finish rolling process of the high-speed steel roller, calculating the roller axial thermal stress difference and the oxidation film stability coefficient, completing stress-film layer instability coupling abnormality discrimination through parameter fitting degree, meanwhile, calling the historical rolling data and the historical emulsion temperature data of the roller, constructing a thermal stress difference-temperature mapping model by using the Pearson correlation analysis method, establishing an oxidation film-temperature mapping table, respectively solving the corresponding temperature intervals, and performing cross coupling analysis on the two groups of temperature intervals to determine the emulsion spraying temperature adjustment value, so as to realize self-adaptive and accurate regulation and control of the rolling temperature, effectively stabilize the roller shape and the roller surface state, reduce the roller loss, and improve the precision and the finished product qualification rate of high-quality aluminum alloy plate, magnesium material, copper material and titanium material finish rolling processing.

The present application relates to the technical field of slope stability evaluation in geotechnical engineering, and particularly relates to a multi-layer soil infiltration and slope stability analysis method considering dynamic correction of infiltration coefficient, which can be used for prediction and prevention and control of shallow landslide disaster. S1: obtaining basic parameters of a multi-layer soil slope to be analyzed; S2: constructing a single-layer Green-Ampt infiltration model with transition layer correction; S3: constructing an enhanced multi-layer Green-Ampt infiltration model; S4: constructing a multi-layer soil slope stability analysis model; S5: result verification and comparative analysis. The method process of the present application is simple, the simulation accuracy is improved through dynamic correction of the transition zone infiltration coefficient, the retarding effect of the low-permeability interface on the wetting front is quantified, the stability coefficient is corrected by multiple factors, the traditional method is avoided to overestimate the safety of the slope, and the present application can directly provide quantitative basis for landslide early warning, anti-seepage design of the multi-layer soil slope.

The application relates to the technical field of embankment slope monitoring, and discloses an intelligent embankment slope safety monitoring system and method. A multi-source sensing data acquisition unit of the system synchronously acquires a three-dimensional displacement amount of a slope body, a soil body pore water pressure value and a rock stratum inclination change amount through a GNSS displacement monitoring device, a pore water pressure gauge and an inclination sensor; a dynamic parameter correction unit receives real-time rainfall intensity data and vehicle vibration frequency data, and dynamically corrects rock-soil body shear strength parameters by adopting a hierarchical entropy weight fusion algorithm; a virtual deduction analysis unit constructs a slope finite element model based on the corrected parameters, and outputs stability coefficient simulation values under different working conditions through transient seepage field and stress field coupling calculation; a stability state mapping unit correlates and matches the stability coefficient simulation values and displacement change rates; and an early warning threshold optimization unit trains a state classification model according to historical landslide event data, and dynamically adjusts displacement rate thresholds corresponding to state labels at all levels.