33 results about "Soil saturation" patented technology

The invention relates to the technical field of data processing, and discloses a geological disaster meteorological risk early warning method and system based on machine learning. The method comprises the following steps: acquiring rainfall intensity, soil saturation, underground water level change and slope runoff coefficient by a multi-source sensor, and constructing a geological disaster meteorological data set; performing sensitivity weight distribution on the meteorological factors according to geological conditions to obtain a weight matrix; carrying out weighted fusion on the weight matrix and meteorological time series data, and extracting features through a geological constraint long-short-term memory network to obtain a risk probability vector; dynamically adjusting an early warning threshold value based on the safety coefficient change rate; and carrying out Bayesian fusion on the risk probability vector and an adaptive early warning threshold to obtain a graded early warning result. The technical problem that an existing geological disaster early warning technology lacks a multivariate meteorological factor intelligent weight distribution and geological condition adaptive threshold adjustment mechanism is solved.

The invention provides a river levee flood control pile foundation stress analysis method and system, and relates to the technical field of river levee flood control pile foundation stress analysis. Multi-channel sensors are arranged on the pile top, the pile side and the pile end, and the sampling frequency is automatically switched along with the flood stage; inverting the soil saturation based on displacement and pore pressure change, dynamically correcting the permeability coefficient and the effective stress, and outputting a space-time coupling parameter matrix; determining a hazard source for the monitoring point, constructing an elliptical search domain by taking the hazard source as a center, and recursively incorporating abnormal points to form a risk area; a seepage-structure full-coupling finite element model is established in the risk area, the outside of the area is simplified through an equivalent spring boundary, and a pile foundation stress-strain field and a safety coefficient are calculated through self-adaptive time step control; and finally, generating a risk report according to safety factor classification, marking a high-risk area, automatically improving the sampling frequency and triggering early warning.

The invention belongs to the technical field of intelligent AI for rainfall analysis and landslide early warning, and discloses an intelligent AI-based rainfall data analysis highway landslide early warning system, which comprises a slope hydrologic monitoring module, a slope damage detection module, an anti-slide pile dynamic monitoring module, a landslide risk analysis module and a risk early warning output module, a slope landslide risk prediction model is constructed by collecting rainfall, water seepage amount, slope structure damage state parameters, pressure difference value of two sides of an anti-slide pile and pile-soil gap variation key data in real time; and the pressure difference value of the two sides of the anti-slide pile, the structural damage state parameters and the rainfall capacity are subjected to cross dynamic association through time sequence characteristics, the water seepage amount and the pile-soil gap variation are fused, and the landslide risk level is output through the dynamic risk amplification factor and the soil saturation critical index. The real-time performance and accuracy of landslide early warning can be remarkably improved, and the method is suitable for highway slope safety monitoring under complex geological conditions.

The invention relates to a quick mountain torrent disaster risk assessment method and system based on multi-source data fusion. The method comprises the following steps: performing space-time registration on multi-source data, constructing a dynamic factor matrix and a static geological parameter matrix, and calculating soil saturation; on the basis of the dynamic factor matrix, removing redundant factors, analyzing and generating a weight vector through an entropy method, on the basis of the effective factor set, the static geological parameter matrix and the soil saturation, correcting the rock-soil shear strength by quantifying the sediment deposition effect, obtaining the corrected rock-soil shear strength, and calculating the slope safety coefficient; and according to the coefficient, the effective factor set and the weight vector, generating a risk membership degree vector through fuzzy evaluation, calculating a risk feature value, identifying a disaster dominant type, and constructing a risk map. According to the method, through multi-source data space-time registration, redundant factor elimination, sediment deposition effect quantitative correction and the like, the efficiency and precision of mountain torrent disaster risk assessment are improved, and the support of an assessment result on disaster prevention and reduction decisions is enhanced.

The invention relates to the technical field of geological disaster prevention and control, and discloses a dynamic rainfall monitoring and early warning device and method considering soil saturation, and the device comprises a saturation monitoring front end assembly, a saturation calculation assembly, a fan, a rainfall monitoring module, an acousto-optic early warning module, a power supply module, a ventilation pipe and a vertical rod which are electrically connected. The saturation monitoring front end assembly comprises a soil loading cylinder; a steel wire mesh and a gate are mounted in the soil loading cylinder; the gate is connected with and controlled by the gate opening and closing automatic controller; the left and right parts of the gate are spliced to form a round hole; the air outlet end of the ventilation pipe is inserted into the soil loading cylinder through the round hole of the gate, and the other end is connected with the fan; the saturation calculation assembly is connected to the ventilation pipe and located below the draught fan. An air overflow opening is formed in the wall of the ventilation pipe. By monitoring the soil body saturation in the whole soil layer depth range, considering the soil body permeability and calculating to achieve dynamic updating of the rainfall early warning threshold, scientific and dynamic early warning of rainfall of geological disasters such as landslide and slope flow is achieved, and the early warning accuracy is improved.

The utility model provides a water conservancy retaining wall with backflushing drainage system, including retaining wall main part, high pressure pump and water storage tank, retaining wall main part left -hand end is fixed with heavy pressure board, and the drainage hole is opened between the inclined surface of heavy pressure board and retaining wall main part, and the interception filter screen is fixedly installed in the drainage hole, the high pressure shower head is installed in the interception filter screen right top, the drainage hole plate, the water seepage brick, the big granule sand and stone layer, the fibre filter screen, the metal filter screen and the PVC pipe are installed in retaining wall main part inside from top to bottom in proper order, and this design has solved the problem that the water inlet hole structure in the original device is too single, and once the blockage phenomenon occurs, it is inconvenient to carry out the problem of clearing and unblocking, the utility model designs a backflushing drainage structure, which can not only remove the blockage of the drainage hole, ensure the smoothness of the drainage system, prevent water accumulation from causing soil saturation, and effectively reduce the erosion of water on the inside of the wall.

A meter for continuous real time monitoring of soil moisture or alternative logging data associated soil moisture. The meter includes determining a value associated with soil saturation, soil nitrogen mineralization, and growing degree units. These values are made available to the user real time.

The invention relates to the technical field of slope engineering, and discloses a soil slope partition rainfall test device, a test box comprises a box body and a slope model, the slope model comprises a plurality of rainfall simulation areas, the bottom of a rain baffle is separated from the slope model, and a rainfall spraying mechanism comprises a water conveying pipe and a pressure nozzle. The rainfall simulation area located in the non-rainfall area is covered with a waterproof film, and a waterproof film is installed at the junction between the rainfall simulation area located in the non-rainfall area and the rainfall simulation area located in the rainfall area; the invention further discloses a test method of the soil slope partition rainfall test device. Test preparation; rainfall simulation: selecting a rainfall simulation area, covering a waterproof film and installing a rainproof plate; collecting data; according to the invention, the rainfall range of each region is effectively controlled, and precise simulation of local soil saturation, shear strength reduction and local failure mechanism of the slope under the rainfall condition is realized.

The invention discloses a hydropower full-time-domain optimization dispatching system and method based on multi-source data fusion, and relates to the technical field of hydropower dispatching. Meanwhile, the risk of the landslide hidden danger point to the hydropower station is analyzed by combining the distance between the landslide hidden danger point and the hydropower station, future rainfall abnormity is analyzed, and reservoir capacity data of the hydropower station is monitored by combining the current soil saturation, risk estimation of the landslide hidden danger point to the hydropower station and reservoir sediment abnormity risks caused by rainfall triggered landslide. According to the method, effective pre-judgment and risk assessment are carried out on the landslide hidden danger, the hydropower dispatching instruction is accurately triggered, the accuracy and controllability of risk early warning are improved, and the risk early warning efficiency is improved. And the refined and intelligent safety management requirements of the hydropower station are met.

This application relates to the field of data processing technology and discloses a method and system for geological disaster meteorological risk early warning based on machine learning. The method includes: collecting rainfall intensity, soil saturation, groundwater level changes, and slope runoff coefficients from multiple sensors to construct a geological disaster meteorological dataset; assigning sensitivity weights to meteorological factors according to geological conditions to obtain a weight matrix; weighting and fusing the weight matrix with meteorological time-series data, and extracting features through a geologically constrained long short-term memory network to obtain a risk probability vector; dynamically adjusting the early warning threshold based on the rate of change of the safety factor; and performing Bayesian fusion of the risk probability vector and the adaptive early warning threshold to obtain a graded early warning result. This application solves the technical problem of the lack of intelligent weight allocation for multiple meteorological factors and adaptive threshold adjustment mechanisms for geological conditions in existing geological disaster early warning technologies.

The invention discloses a method for measuring saturated hydraulic conductivity of soil, and belongs to the field of soil detection. Acquiring a remote sensing image of the to-be-measured area, acquiring vegetation coverage data of the to-be-measured area and gradient size data of the to-be-measured area from the remote sensing image, and acquiring ground temperature data of the to-be-measured area on site; the method comprises the following steps: preprocessing vegetation coverage data, gradient size data and ground temperature data obtained from a to-be-measured area so as to obtain a vegetation coverage correction factor, a gradient correction factor and a ground temperature correction factor of the to-be-measured area; and constructing a soil saturated hydraulic conductivity measurement optimization coefficient of the to-be-measured area. According to the method, the soil saturation hydraulic conductivity optimization coefficient is constructed through the vegetation coverage correction factor, the slope correction factor and the ground temperature correction factor, and the soil saturation hydraulic conductivity reference value is regulated and controlled through the optimization coefficient, so that more accurate soil saturation hydraulic conductivity can be measured, and more accurate guidance can be provided for agricultural production.

The invention relates to the technical field of municipal drainage, and provides a municipal drainage method, system and equipment, and the method comprises the steps: obtaining a regional characteristic value according to a regional coefficient and a soil saturation index; acquiring a meteorological characteristic value according to the short-time rainstorm threat degree; obtaining a water quality characteristic value according to the BOD load threshold value and the sewage treatment urgency coefficient; and obtaining a comprehensive risk index according to the regional characteristic value, the meteorological characteristic value and the water quality characteristic value, and executing a corresponding drainage diversion strategy according to the comprehensive risk index. According to the method, the regional characteristic value is obtained through the regional coefficient and the soil saturation index, the comprehensive risk index is obtained through the regional characteristic value, the meteorological characteristic value and the water quality characteristic value, the regional characteristic is considered, and multi-dimensional data characteristics including the regional characteristic, the meteorological characteristic and the water quality characteristic are fused; and the limitation of single monitoring dimension of the municipal drainage system is overcome, and the anti-waterlogging capability and the sewage treatment efficiency of the drainage system are improved.

The invention relates to the technical field of slope risk early warning based on slope data processing, in particular to a soil slope safety risk early warning method, system, equipment and medium in a slope group. The method comprises the following steps: firstly, obtaining an initial instability value and an instability grade of a soil slope based on a gradient, a cohesive force, an internal friction angle and a structural surface development degree; secondly, acquiring neighborhood potential risk quantized values of the soil slopes with different instability grades, and dynamically correcting the initial instability scores of the slopes to obtain updated instability values of the soil slopes; then, analyzing from the angle of rock-soil body saturation in a rainfall environment to obtain an environmental influence instability increment of the soil slope, and updating a soil slope instability value to obtain a comprehensive instability value of the soil slope; and finally, when the comprehensive instability value of the soil slope exceeds an instability threshold value, carrying out risk early warning on the soil slope. The method is applied to safety early warning of the soil slope, and the accuracy and timeliness of safety early warning of the soil slope can be improved.

The present invention provides a method for analyzing the stability of an iron tower foundation under soil strength attenuation during rainfall. By constructing a dynamic coupling model of soil mechanical parameters under rainfall infiltration conditions, the present invention breaks through the limitations of traditional static soil parameter evaluation, accurately simulates the impact mechanism of soil saturation changes on foundation stability, and develops a multi-scale stability analysis method based on the spatiotemporal evolution of hydraulic characteristics, providing a more accurate theoretical basis and technical support for the stability evaluation of iron tower foundations under unsaturated soil conditions.

The invention discloses a multi-source monitoring system and method for surface soil saturation of a loess area of the Qinghai-Tibet Plateau, and relates to the technical field of remote sensing monitoring of soil saturation. The system comprises a surface soil moisture multi-source monitoring module, a surface soil moisture multi-source fusion module, a surface soil saturation monitoring module, a surface soil saturation condition analysis module, a geological disaster occurrence risk prompting module and a database. Fusing the multi-source soil moisture information to obtain the surface soil moisture and soil saturation of the Qinghai-Tibet Plateau loess area, evaluating the surface soil saturation state corresponding to the Qinghai-Tibet Plateau loess area, and analyzing the abnormal stage of the surface soil saturation state corresponding to the Qinghai-Tibet Plateau loess area and countermeasures. Therefore, multi-source monitoring of the corresponding surface soil saturation state of the loess area of the Qinghai-Tibet Plateau is achieved, and the defects of accuracy and coverage caused by single monitoring of the Qinghai-Tibet Plateau are overcome.

The invention discloses a mountain torrent disaster grading early warning method and system based on soil water content dynamic coupling, and belongs to the technical field of mountain torrent early warning. The method comprises the following steps: breaking through the limitation of a traditional static threshold by constructing a dynamic threshold model for multi-source soil humidity data fusion; a multi-stage early warning trigger mechanism is formed by combining a Kalman filtering real-time correction coefficient, and targeted information pushing and pre-arranged plan dynamic generation are achieved; the dynamic threshold model is constructed through a nonlinear regression model; the multi-stage early warning trigger mechanism comprises blue early warning: real-time rainfall is greater than or equal to 0.7 dynamic critical rainfall threshold; yellow early warning: R is greater than or equal to 0.85 dynamic critical rainfall threshold and the real-time soil water content is greater than or equal to 80% soil saturation water content; red early warning: R is greater than or equal to a dynamic critical rainfall threshold value and a soil liquefaction risk index gt; and 0.6. Through a soil water content dynamic coupling mechanism, three major pain points of data splitting, model stiffness and insufficient aging in mountain torrent early warning are solved.

The present invention discloses an active anti-floating drainage model test device and test method that considers saturation changes, belonging to the technical field of active anti-floating technology for buildings. The test device comprises: a boundary model box, a building model box, multiple pore pressure sensors and multiple dielectric constant sensors, a pressure-limiting drainage pipe that simulates the active anti-floating equipment in an actual building, a water head control device, and a rainfall simulation device. The test device can simulate the seepage field of the underground space under the conditions of active anti-floating measures during rainfall and reproduce the drainage conditions of the underground space under such conditions. The pore pressure sensors and the dielectric constant sensors monitor the changes in soil saturation in real time, filling the gap in the soil saturation change factors of existing test devices of this type. The test device can demonstrate the drainage conditions and seepage laws of the active anti-floating measures in the process of soil transition from unsaturation to saturation under different rainfall and different stratum conditions, providing a scientific basis and data support for the optimized application of active anti-floating measures under different saturation conditions.

The present invention provides a physical structure for slowing down the mud cake formation on the shield cutter head, including: a shield cutter head, a shield cutter head panel, and shield cutters. This structure is obtained by modifying the surface of the panel and cutters of the shield cutter head. By setting fine small bumps on the surface of the panel and cutters of the shield cutter head, the bonding effect between the cutter head panel, cutters and the coating is strengthened, and the small bumps are used to exhaust and disperse gas from the soil, improve the soil saturation degree, reduce the soil matrix suction, and further slow down the adsorption effect between clay particles and between clay and the shield cutter head and cutters, ensuring that under the condition that the scouring pressure and flow rate remain unchanged, the mud cake formation on the shield cutter head can be better alleviated and dealt with.

The invention discloses a landslide simulation experiment device and method in a circulating freezing and thawing environment, and belongs to the field of geotechnical engineering and environment simulation. A landslide simulation experiment device in a circulating freeze-thaw environment comprises a simulation box and further comprises a water supply box which is fixedly connected to the side wall of the simulation box, a simulation assembly is arranged between the water supply box and the simulation box, a supporting plate is hinged to the interior of the simulation box, and a model positioning assembly is arranged on the supporting plate; the filter plate is fixedly connected to the interior of the simulation box, and an angle adjusting mechanism is arranged between the filter plate and the simulation supporting plate and used for adjusting the angle of the simulation supporting plate; the rainfall detection mechanism is arranged in the simulation box and used for detecting rainfall and soil saturation, and a vibration simulation mechanism is arranged between the filter plate and the supporting plate; according to the invention, the problems of poor accuracy, stability and experiment reliability of the landslide simulation experiment in the circulating freeze-thaw environment can be solved.

The present invention discloses an electrolytic desaturation intelligent air-complemented gravel pile and a construction method, which includes an outer device and an inner device. The outer device includes a conductive grid and a saturation monitor. The saturation monitor is pre-fixed on the conductive grid. In the electrolytic circuit, the conductive grid is connected to the anode, and the saturation monitor is connected in series in the circuit. The inner device includes a conductive pipe and a conductive felt. A plurality of conductive felts are sleeved on the outer side of the conductive pipe at intervals along its length direction. In the electrolytic circuit, the conductive pipe is connected to the cathode. The present invention realizes the real-time monitoring and intelligence of the electrolytic desaturation process, and achieves the purpose of efficiently, uniformly and widely reducing the soil saturation degree. While rapidly draining water, the stability of bubbles is ensured. At the same time, the formed soil pile also introduces a good drainage channel for the nearby soil, greatly improving the foundation strength while also featuring short construction time, energy-saving economy, no pollution, long-term performance and intelligence.

The present application relates to a kind of geological disaster prevention-oriented probability prediction model construction method, comprising the following steps, step one, physical constraint topology network construction;Step two, multi-parameter joint disturbance sample generation;Step three, cross sensitivity quantification module construction;Step four, physical regularization probability prediction model training;Step five, dynamic physical constraint correction mechanism.By generating disturbance samples in line with geophysical laws, covering typical geological disaster mutation scenarios such as soil saturation mutation, rainfall intensity step, slide zone formation critical point, significantly improving the prediction stability and generalization ability of the model under extreme geological conditions;Provide physical interpretable reliability support for geological disaster early warning decision, suitable for long-term geological disaster monitoring and early warning system, improve the continuous applicability and reliability of the model in practical engineering.

The invention discloses a high-precision model soil saturation measuring device and method. The soil body model is placed in the saturation box, the target is placed on the soil body model, the monitoring assembly is installed at the top of the saturation box and used for collecting liquid level information of the soil body model and pressure of the saturation box, and then the saturation degree of the soil body model in the saturation box is measured; the method comprises the steps that a model is placed in a saturation box, a target is placed on the surface of the model, and a laser displacement meter is installed above the target; then sealing the saturation box to saturate the model in vacuum, gradually releasing vacuum after the saturation is completed, and automatically recording the pressure and the liquid level height change measured by the laser displacement meter by using a portable data acquisition instrument; and finally, calculating the saturation of the model according to the recorded liquid level change height and pressure change. Compared with methods such as compression wave measurement, the saturation measuring device and the saturation measuring method have the advantages of simple system, high precision, high automation degree, low cost and the like.

The invention provides a pneumatic type soil drainage and non-drainage compaction device which comprises a test bed, a compression mold, a driving part electrically connected with a control module, a measuring assembly electrically connected with a data acquisition module and a drainage structure arranged between the data acquisition module and the control module and between the compression mold and the test bed. The invention discloses a pneumatic type soil drainage and non-drainage compaction test method. The method comprises the following steps: S1, filling soil in a compaction device; s2, pressure is applied to the cover plate, and it is guaranteed that the pressure value is constant within the compaction time; s3, the compression modulus of the soil body and the saturation and porosity of the soil body before and after compaction are calculated, harmless treatment is conducted on the waste muck, and a compaction device is cleaned; the load can be adjusted more conveniently and quickly; the compression mold is firm and durable, and corrosion of moisture, clay minerals and residual modifying agents in soil can be prevented; the application range is wide, different sizes can be machined according to different types of soil bodies, and the pressure value and the compaction time are adjusted.