318 results about "Gelisol" patented technology

The invention discloses a multi-sensing and data physical fusion frozen soil hot water force response test system and method, and the system integrates an ultra-weak fiber grating, an active heating fiber, a miniature dielectric constant sensor and an optical frequency domain reflection technology, and constructs a freezing process-oriented temperature, moisture, ice content and strain synchronous monitoring network; the method comprises the steps of constructing a multi-field fusion data set based on thermal disturbance lag correction, temperature-strain decoupling and a moisture-strain residual term compensation mechanism, and extracting key criterion characteristics of an ice lens growth rate, frost heaving force evolution and a shear deformation change rate; and in combination with a physical information neural network (PINN) embedded into a hot water force control equation, risk identification and grade judgment of the freezing abnormal behavior are realized. The method supports indoor heating and water pressure linkage adjustment, realizes a complete closed loop of multi-source sensing-risk identification-response verification under model driving, and breaks through the bottlenecks of low multi-physics field coupling identification precision, large parameter cross interference and insufficient risk identification real-time performance of the existing monitoring technology.

The invention discloses a multi-target intelligent optimization method and system for blasting parameters of a strip mine in a high-altitude cold region. The method comprises the following steps: carrying out data acquisition to obtain a parameter data set; performing data preprocessing on the parameter data set to obtain a feature sample set; constructing an initial blasting parameter model based on a machine learning algorithm, and performing hyper-parameter optimization on the model to obtain a blasting parameter model; a multi-objective optimization function is constructed: based on the multi-objective optimization function and the blasting parameter model, solving is carried out in combination with environmental condition constraints, and a pareto optimal solution set is obtained; according to the pareto optimal solution set, a representative solution is selected, a visual scheme is generated, and blasting parameter optimization of the strip mine in the high-altitude cold region is completed. According to the method, temperature, oxygen and frozen soil constraint conditions of the high-cold and high-altitude environment are introduced, blasting safety, lumpiness uniformity and the explosive utilization rate are considered at the same time through multi-target collaborative optimization, the method can adapt to the extreme environment, meanwhile, the one-sidedness of single-target optimization is avoided, and the intelligent level of blasting design and implementation is greatly improved.

The invention relates to the technical field of remote sensing science and technology, in particular to a frozen soil region freeze-thaw disaster identification method and system and a storage medium, and the method comprises the steps: generating a target differential interference image set; carrying out homogeneous point filtering, phase unwrapping optimization and unwrapping error correction on the basis of the target differential interference image set to obtain an unwrapped phase image set; for each unwrapped phase diagram, performing uniform sub-block division, and based on an elevation-phase empirical relationship, estimating and removing an atmospheric delay phase existing in each sub-block through a linear fitting method to obtain a phase optimization diagram set after atmospheric influence is removed; performing sequential superposition on unwrapping phases corresponding to the interferograms in the phase optimization diagram set, and performing analysis by using the relationship between the average phase change rate after superposition and the radar wavelength to obtain earth surface deformation data; and unsupervised classification and screening are carried out based on the earth surface deformation data, and freeze-thaw change areas are optimized, so that a high-precision freeze-thaw recognition result is obtained.

The invention discloses an island-shaped frozen soil degradation prediction method based on remote sensing and ground temperature coupling, and relates to the technical field of frozen soil degradation prediction in cold regions, and the method comprises the following steps: S1, multi-source data fusion and intelligent decomposition, S2, cross-scale dynamic parameterized model construction, S3, quantum enhanced Bayesian multi-scale calibration, and S4, three-dimensional dynamic uncertainty quantification and prediction output. According to the method, the problems of frozen soil data scarcity and remote sensing conversion precision are solved through multi-source remote sensing and actually measured data fusion in combination with CGAN, AM-PFN and virtual sample closed-loop expansion; the defects of a traditional model are overcome through a microscopic-macroscopic coupling model, DRL parameter switching and meta-learning algorithm selection; through quantum enhanced Bayes, DMD and a four-dimensional uncertainty matrix, cross-scale prediction divergence is reduced; and through a carbon release risk correlation model and a co-evolution product, a prediction dimension is expanded, and a support is provided for ecological protection of the cold region.

The invention provides a nuclear magnetic resonance and image intelligent bimodal unfrozen water dynamic identification method and system, and belongs to the technical field of frozen soil engineering and geophysical exploration, and the method comprises the steps: sealing a frozen soil sample in a nuclear magnetic sample tube, and achieving the gradient cooling of the sample in a preset low temperature range through temperature control; scanning by using a nuclear magnetic resonance technology to obtain transverse relaxation time T2 spectrums and nuclear magnetic images of the frozen soil sample at different temperature nodes; after image preprocessing is carried out on the nuclear magnetic image, a temperature-signal intensity curve in the nuclear magnetic image is automatically extracted by utilizing an image recognition technology; carrying out integral calculation on a liquid water signal in the T2 spectrum, and dynamically calculating the content of the unfrozen water at each temperature based on a nuclear magnetic signal intensity formula; according to the method, a pore-fracture co-evolution matrix is constructed, accurate analysis of unfrozen water dynamic and pore evolution in the freezing and thawing process is realized, the method is suitable for hydrothermal coupling characteristic analysis of Qinghai-Tibet soil in a complex freezing and thawing environment, and reliable technical support is provided for stability evaluation of frozen soil engineering.

The invention discloses a permafrost hydrothermal state simulation method and system based on a physical model, and relates to the technical field of permafrost region engineering. The method comprises the following steps: acquiring meteorological driving data and land surface feature data; constructing a numerical model of a permafrost hydrothermal process by considering a permafrost freezing and thawing process and a soil ice effect by utilizing land surface feature data; preparing boundary constraint conditions of the numerical model according to the meteorological driving data and the existing temperature field data; and performing permafrost hydrothermal state simulation on the land surface characteristic data by using meteorological driving data, constraint condition data, key vegetation and soil parameters and a driving numerical model to obtain a sample set formed by key permafrost hydrothermal information. According to the method, the dependence of an existing model on data and structures is broken through, the multi-scale application requirement of the permafrost region is met, and finally a high-quality meteorological driving and boundary constraint condition data set suitable for permafrost simulation without an observation region can be generated.

The invention relates to the technical field of tunnel engineering construction, in particular to a high and cold tunnel variable cross-section frozen soil thermal coupling safety hierarchical control construction method, which comprises the following steps: constructing a three-dimensional thermal coupling model considering frozen soil phase change characteristics based on an FLAC3d platform, and introducing a freezing frontal surface expansion speed prediction algorithm and ground temperature monitoring data to dynamically correct model parameters; a three-level safety threshold is established, a hierarchical control strategy is implemented, a pre-control period (heating and heat preservation), an excavation period (advanced small pilot tunnel and reverse top-picking expanding excavation) and a support period (asymmetric support) are divided, and a closed-loop system for monitoring, simulation, feedback and adjustment is established. The method comprises the following steps of: accurately regulating and controlling a temperature field, setting a phase change energy storage heat preservation layer, constructing a bionic drainage system, applying an intelligent construction platform with BIM (Building Information Modeling) and GIS (Geographic Information System) fused, integrating various sensing equipment for real-time monitoring, comparing monitoring data with a model prediction result, dynamically optimizing construction parameters and ensuring construction safety.

The invention relates to the related technical field of climate monitoring, in particular to a freezing circle climate change monitoring method and system suitable for an Asian alpine region, and the method comprises the steps: configuring a monitoring network, receiving a frozen soil multi-source monitoring data set, constructing a frozen soil and climate coupling response model, embedding a region climate assessment engine, and generating a frozen soil degradation risk grade distribution map. And judging whether risk reminding is triggered or not according to the dynamic frozen soil degradation threshold value, and if the risk reminding is triggered, marking an abnormal region in the frozen soil degradation risk level distribution diagram. The technical problems that Asian alpine region freezing circle climate change monitoring abnormity reminding mostly depends on static data, the dynamic evolution process of frozen soil cannot be accurately captured, and the frozen soil degradation risk identification precision is limited are solved, a frozen soil and climate coupling response model constructed based on multi-source data is achieved, and the frozen soil degradation risk identification accuracy is improved in combination with a dynamic degradation threshold value set according to the frozen soil type. And risk reminding is triggered in time and an abnormal region is marked, so that the frozen soil degradation risk identification precision is improved.

The invention provides a soil permeability test device suitable for gradient variable-temperature freeze-thaw cycle test, which comprises a temperature control cylinder formed by axially extending and combining a plurality of annular insulating cylinders with hollow structures, an insulating and heat-conducting soil sample cylinder is mounted in a central chamber formed by the temperature control cylinder, a water storage chamber is arranged on one side of the soil sample cylinder, and a water outlet is formed in the other side of the soil sample cylinder. A porous anode plate is arranged between the water storage chamber and the soil sample cylinder, a water collecting chamber is arranged on the other side of the soil sample cylinder, a porous cathode plate is arranged between the water collecting chamber and the soil sample cylinder, an orifice plate flowmeter is arranged between the water collecting chamber and the porous cathode plate, and the water storage chamber is connected with a water supply system; a pore pressure sensor and a temperature sensor are installed on the side wall of each annular insulating cylinder, and each annular insulating cylinder is connected with a refrigeration module and a heating module. The device can simulate a real environment to perform freezing and thawing and gradient temperature control on the sample, can effectively simulate a real geological environment in an alpine region, and provides a scientific basis for research on permeability of frozen soil under a gradient freezing and thawing cycle condition.

The invention discloses a roadbed settlement prediction method and system for a permafrost region. The roadbed settlement prediction method comprises the steps of obtaining roadbed historical data corresponding to the permafrost region; intercepting data of a preset fixed length and settlement monitoring data corresponding to the data of the preset fixed length at a future moment, and constructing a permafrost region roadbed settlement sample database; building a base model; training the base model through the established database to obtain a trained base model; outputting a preliminary prediction result through the trained base model; the prediction result of the base model is used as the input of a meta-model through a stacking model, the meta-model is a multiple linear regression model, the prediction results of multiple prediction units of the base model are integrated, and the roadbed settlement corresponding to the final permafrost region future moment is output. According to the method, prediction results of a plurality of models are fused, so that the final model is more robust for abnormal values and noise data, and the stability of training prediction of the model for large fluctuation of roadbed settlement data in the frozen soil region is improved.

The invention relates to a device and method for testing the heat conductivity coefficient of frozen soil in a near-phase-change region, and the device is characterized in that a heat-TDR probe sensor is inserted into a to-be-tested soil sample, then is sealed, and is placed into a constant-temperature liquid bath; the thermal-TDR probe sensor is used for performing integrated heating on a to-be-measured soil sample, measuring the temperature of the to-be-measured soil sample and measuring the dielectric constant of the to-be-measured soil sample, a lead of the thermal-TDR probe sensor is connected to the temperature acquisition device and the TDR-100 signal acquisition device, the TDR-100 signal acquisition device is connected to the TDR signal receiving device, and the TDR signal receiving device is connected to the thermal-TDR probe sensor. And the temperature acquisition device and the TDR signal receiving device transmit acquired signals to the processor. The phase change latent heat influence is considered, the water-ice phase change latent heat error correction method under the pulsating heat flow effect is defined, the calculation formula of the frozen soil heat conductivity coefficient of the near-phase-change area is corrected, and the test error of the frozen soil heat conductivity coefficient is reduced; and a guarantee is provided for accurately revealing the change rule of the frozen soil heat conductivity coefficient in the continuous temperature change process of the near-phase-change region.

The invention provides a self-fed high-temperature unsaturated frozen soil interface shear test device and a method thereof, and relates to the technical field of civil engineering tests. The test device comprises a shell assembly, a torsion loading assembly, a gas phase imbedding assembly, a liquid phase imbedding assembly, a soil sample containing assembly and a self-feedback assembly, the torsion loading assembly comprises a torsion control box arranged on the inner side of a bottom box, and a torsion controller, a data acquisition master controller and a torsion device are arranged in the torsion control box; the output end of the torsion device is fixedly connected with a hollow cylinder through a torsion transmission shaft, and the hollow cylinder is detachably connected with a plurality of shearing plates. Through the arrangement of the gas phase imbedding assembly, the liquid phase imbedding assembly and the self-feedback assembly, the shearing characteristics of the unsaturated high-temperature frozen soil and the pile interface can be studied under the conditions of different matrix suction forces, different overlying loads and different freezing temperatures by utilizing self-regulation and feedback of the self-feedback assembly.

The invention relates to the technical field of geological sampling, and particularly discloses a Qinghai-Tibet Plateau winter frozen soil sampler which comprises a coring pipe, an ultrasonic vibration unit, a cooling assembly, a supporting frame and a prestress mechanism. A vacuum cavity is formed in the side wall of the coring pipe; the ultrasonic vibration unit is installed at the top end of the coring pipe, the cooling assembly is installed on the ultrasonic vibration unit, and the coring pipe, the ultrasonic vibration unit and the cooling assembly are all installed on the supporting frame. The prestress mechanism is arranged between the ultrasonic vibration unit and the supporting frame and used for maintaining the axial stability of the coring pipe. Through cooperation of the cooling assembly and the vacuum cavity, the coring pipe can be always kept in a low-temperature state, and the situation that the original state of frozen soil is damaged due to ice crystal melting caused by friction heating in the sampling process is avoided; high-frequency vibration of the coring pipe is achieved through the ultrasonic vibration unit to replace traditional mechanical extrusion, damage to the soil structure can be greatly reduced, and the accuracy of frozen soil sampling is guaranteed.

The invention relates to the technical field of frozen soil sample confining pressure testing, and discloses a subarea temperature control dynamic confining pressure loading device suitable for an over-saturated frozen soil sample, which comprises a hydraulic machine device controlled by a console, an air pressure mechanism, a cooling mechanism and a multi-state confining pressure assembly, a flexible rubber three-dimensional strain stress sensing cylinder for accommodating a frozen soil sample is arranged in the middle of the multi-state confining pressure assembly, and a temperature sensor and a pressure sensor are arranged in the flexible rubber three-dimensional strain stress sensing cylinder; the multi-state confining pressure assembly is formed by stacking a plurality of groups of multi-state confining pressure units; according to the invention, complex stress transfer and non-uniform confining pressure among soil particles in a natural stratum can be simulated, and the simulation authenticity of the stress condition of the frozen soil sample is obviously improved. According to the invention, independent temperature control of soil body areas at different heights can be realized, a stable temperature gradient from the top to the bottom of a frozen soil sample can be accurately established, and a temperature boundary more conforming to field conditions is provided for research on mechanical behaviors of frozen soil.

The invention discloses a frozen soil upper limit intelligent identification method based on multi-source data and deep clustering fusion, and belongs to the technical field of frozen soil exploration. The method comprises the following steps: firstly, collecting and preprocessing ground penetrating radar and high-density electrical method data, and registering with drilling data; constructing a sample data set by using a sliding window; constructing a double-branch convolutional auto-encoder to carry out unsupervised pre-training so as to fuse multi-source data features; on the basis, a clustering layer is introduced, a joint loss function combining reconstruction loss, clustering loss and supervision loss is adopted, semi-supervised deep clustering optimization is carried out, and underground media are divided into three types including a covering layer, a transition zone and frozen soil; and finally, automatically identifying the frozen soil upper limit depth of each point on the measuring line by using the trained model, and outputting a confidence coefficient. According to the method, the problems that a traditional method depends on artificial experience and is low in efficiency are solved, and intelligent, high-precision and high-efficiency identification of the frozen soil upper limit is achieved.

The invention relates to a reliability evaluation method and system for a frozen soil automatic observation instrument in a parallel observation stage. The method comprises the following steps: obtaining observation data collected by an automatic frozen soil observation instrument, and comparing to obtain a first evaluation result about whether the data collected by the automatic frozen soil observation instrument is complete or not; determining artificial observation data based on an artificial frozen soil device, and calculating a data error to obtain a second evaluation result about whether the data collected by the automatic frozen soil observer is accurate; artificial frozen soil data are determined, comparability test is carried out, and the consistency degree of the data collected by the automatic frozen soil observation instrument and the data collected by artificial observation is obtained and serves as a third evaluation result; and performing reliability evaluation on the frozen soil automatic observation instrument according to the first evaluation result, the second evaluation result and the third evaluation result. The integrity, the accuracy and the comparability of the data acquired by the automatic frozen soil observation instrument are evaluated, and the automatic frozen soil observation instrument passes the reliability evaluation only when all the data reach the standard, so that the evaluation accuracy of the automatic frozen soil observation instrument can be improved.

The invention discloses a resistivity static sounding in-situ test probe for evaluating unfrozen water content and ice content of frozen soil and a working method thereof.The test probe comprises a sounding probe body and a probe rod which are vertically distributed, the sounding probe body is located at the bottom end of the probe rod, and a coaxial cable is arranged in the probe rod in a penetrating mode; a broadband signal generator, an embedded data processor, an inclinometer, an annular electrode array, a temperature sensor, a pressure measuring assembly and a friction cylinder are sequentially arranged in the probe rod from top to bottom. According to the invention, resistivity inversion calculation and temperature compensation calculation are carried out through the embedded data processor, and end resistance, friction resistance, inclination, temperature, unfrozen water content, ice content and thaw collapse coefficient are output; according to the method, mechanical parameters and electrical parameters are synchronously obtained, multi-physical field coupling analysis is combined, the frozen soil thaw collapse deformation in-situ testing method based on broadband resistivity static sounding is constructed, and the defect that the content of unfrozen water and the content of ice in a soil body cannot be detected through an existing static sounding technology in China is overcome.

The invention relates to the technical field of concrete durability evaluation, in particular to a compound green concrete salt freezing resistance durability evaluation system under a frozen soil environment, which comprises a data input unit, a decision information table storage unit, a rough set analysis processing unit and an evaluation output unit, the data input unit receives a sample data set containing freeze-thaw cycle times, dry-wet cycle times, freeze-thaw-dry-wet cycle times, long-term soaking time, composite salt concentration, gas content and fly ash mixing amount, and the decision information table storage unit stores a decision information table constructed based on a rough set theory. The influence factor combination and the relative dynamic elastic modulus percentage are associated, the rough set analysis processing unit establishes a mapping relation through attribute reduction and rule extraction and quantifies the weight of each factor, and the evaluation output unit outputs a relative dynamic elastic modulus predicted value, durability grade classification and key factor contribution sorting. And the salt freezing resistance durability of the concrete under the multi-factor coupling effect is accurately evaluated.

The invention discloses a reinforced soil bridge abutment system in a frozen soil area and a construction method of the reinforced soil bridge abutment system. The reinforced soil bridge abutment system comprises a reinforced soil bridge abutment body, a ground source heat pump regulation and control system, a clean energy power supply system and a monitoring system. The reinforced soil bridge abutment body comprises filling soil, rib materials and a prefabricated modular wall face, a buried circulating pipe group of the ground source heat pump regulation and control system deeply penetrates through a frozen soil layer to a stable soil layer, and a heat pump host transfers heat of a bridge abutment base in a high-temperature season to prevent frozen soil from melting by means of a double-circulation pipeline and depending on temperature sensor data and weather forecast data. And reversely supplementing heat in low-temperature seasons to inhibit frost heaving. The heat pump host and the monitoring system of the clean energy power supply system supply power in a time-sharing manner to guarantee core functions. The monitoring system comprises a temperature sensor, a strain gauge and an inclinometer. The problems of stability and frost heaving and thaw collapse of the abutment in the frozen soil area are effectively solved, and economic and social benefits are achieved.

The invention discloses a salinized frozen soil roadbed settlement prediction method and system, and relates to the technical field of roadbed settlement prediction, and the method comprises the steps: obtaining multi-source monitoring data of a target salinized frozen soil roadbed, the multi-source monitoring data comprises temperature, moisture content, conductivity, stress and ground surface settlement time sequence observation values distributed along the depth, and a ground surface remote sensing image; establishing a physical mechanism model reflecting the heat-water-salt-force coupling effect of the salted frozen soil based on the multi-source monitoring data; integrating the physical mechanism model as a constraint condition into a neural network training process, and constructing a settlement response prediction sub-model with physical consistency in combination with multi-source monitoring data; performing spatial reconstruction on the multi-source monitoring data to form a two-dimensional profile image containing a temperature field, a humidity field and a salt field, and inputting the two-dimensional profile image into a convolutional neural network to extract spatial structure features; and constructing graph structure data by utilizing spatial structure characteristics, modeling a mutual influence relationship among different salinized areas through a graph neural network, and outputting settlement tendency distribution.

The invention belongs to the field of rock-soil simulation, and provides an ice-water phase change finite element simulation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining soil parameters, temperature change data and hydraulic characteristic data of a target tailings pond; constructing a tailing pond frozen soil model by adopting a finite element method according to the soil parameters; determining a temperature field of the target tailing pond according to the temperature change data and a tailing pond frozen soil model; determining a seepage field of the target tailing pond according to the hydraulic characteristic data and the tailing pond frozen soil model; according to the seepage field, calculating the tailing pond frozen soil model to obtain initial seepage characteristics of the tailing pond frozen soil model when the tailing pond frozen soil model is not melted; and performing heat flow coupling calculation on the tailing pond frozen soil model according to the initial seepage characteristics and the temperature field to obtain a frozen soil melting simulation result of the target tailing pond. The method has the beneficial effect that the accuracy of ice-water phase change tailing pond frozen soil melting and seepage characteristic finite element simulation is improved.

The invention provides an artificial frozen soil freezing characteristic test system and method, and relates to the field of artificial freezing, and the system comprises a refrigeration module, a heat dissipation module, a test module and a simulation test box; the simulation test box is filled with a test soil layer, a plurality of pairs of pre-embedded sleeves are arranged in the simulation test box, all the pre-embedded sleeves are in contact with the test soil layer, each pre-embedded sleeve is internally provided with the corresponding refrigeration module, the heat dissipation module penetrates through the interior of the corresponding refrigeration module, and the heat dissipation module is connected with the corresponding refrigeration module. The testing modules are arranged on the sides of each pair of pre-embedded sleeves; the distance between each pair of embedded sleeves is not less than a preset distance; the test module comprises at least one of a temperature test unit, an electrical method test unit and a sound wave test unit. The artificial freezing construction process can be simulated in the indoor environment, so that the actual freezing construction period, the freezing process and the reinforcing effect are accurately estimated, and the freezing construction risk is reduced.

The invention relates to the technical field of land improvement, and discloses a plateau grassland ecological restoration land improvement machine which comprises a vehicle body and a rack. The soil turning assembly comprises a cutting piece and a soil turning roller, the soil is longitudinally and transversely cut through the cutting piece to obtain a net-shaped soil layer, and the soil turning roller is used for turning soil on the net-shaped soil layer; the groove assembly comprises a groove turning plough and two conveying pieces, the groove turning plough is used for ditching the soil layer after soil turning, and the soil after ditching is conveyed to the conveying pieces; the seeding assembly comprises a seeding box, a mixed seeding part and a soil covering part, the seeding box is mounted at the tail end of the rack through a regulation and control part, the mixed seeding part is used for mixing soil, seeds and fertilizer and conveying the mixture into the formed groove, and the soil covering part is used for covering soil on the groove. According to the plateau soil turning device, automatic soil turning, sowing, fertilizing and covering treatment are achieved for plateau soil, the soil turning efficiency and effect of plateau frozen soil are improved, uniform mixing of soil, seeds and fertilizer is achieved, the overall repairing efficiency is improved, and the labor amount is reduced.

The invention discloses a permafrost evolution state evaluation method based on single-hole ground temperature, and the method is characterized in that the method comprises the following steps: 1, collecting single-hole ground temperature data; 2, effective negative temperature is determined, 3, space-time integration is conducted on the effective negative temperature, and space-time negative accumulated temperature is obtained; 4, selecting a reference year, and calculating the space-time negative accumulated temperature of the reference year; 5, calculating the space-time negative accumulated temperature of the target year, and calculating a frozen soil state index; and 6, judging the evolutionary or degenerative state of the frozen soil according to the frozen soil state index. According to the evolutionary state evaluation method for the permafrost based on the single-hole ground temperature, the original space curve of the ground temperature changing along with depth and time is converted into the integral quantity value capable of representing the thermal state characteristics of the permafrost, so that ground temperature data can be effectively integrated, and the integrity and reliability of the data are improved; and quantitative evaluation of the evolutionary trend of the permafrost can be realized, and the method can be widely applied to cold region environments and engineering practices under different regions and conditions.

The invention discloses a roadbed construction control method and system for frost heaving and thaw collapse characteristics of a frozen soil layer, and relates to the technical field of roadbed construction control. Comprising the following steps: collecting different land types, construction control parameters and frozen soil layer characteristic parameter data, and recording corresponding frozen layer ice phase volume time sequence data; establishing a neural network prediction model based on the data set, inputting a land type, construction parameters and frozen soil layer characteristics, and outputting an ice phase volume prediction value; relevant parameters of a road to be constructed are collected and input into the model, and frozen layer ice phase volume time sequence data prediction is obtained. Analyzing the influence of soil structure characteristics and construction environment parameters on frost heaving and thaw collapse characteristics, correcting initial values of construction control parameters, and judging whether frozen soil layer conditions meet construction requirements or not; and finally, fixed control parameters are corrected based on temperature strain, and roadbed construction is completed through real-time adjustment. And the construction safety and efficiency under the complex frozen soil condition are effectively improved.

The invention provides a Kirchhoff's law-based power distribution network line loss abnormity positioning method and device, and the method comprises the steps: obtaining the temperature, moisture content and salt content parameters of soil through a multi-sensor integrated monitoring probe, embedding a special temperature and humidity sensor for a frozen soil region in the top of the multi-sensor integrated monitoring probe, and embedding a soil moisture content TDR probe in the middle of the multi-sensor integrated monitoring probe, a salt content monitoring conductivity sensor is embedded in the bottom; constructing a permafrost region resistivity correction model based on the parameters; a dynamic compensation Kalman filtering algorithm is adopted to process a model output value, and the output dynamic correction soil resistivity is transmitted to a grounding electrode detector host; and the host fuses the correction value and the electromagnetic signal acquired by the electromagnetic signal receiving sensor, and outputs the distribution state of the grounding electrode. According to the invention, a multi-sensor integrated probe is used to acquire parameters to construct a model, and a correction value and an electromagnetic signal are fused after dynamic correction by a Kalman filtering algorithm, so that the detection precision of the plateau permafrost region is improved.

The invention discloses a permafrost railway roadbed structure design method based on a high-power flexible hot rod, which comprises the following steps: measuring the thermal conductivity and the volumetric heat capacity of permafrost through in-situ drilling and indoor test, and constructing a three-dimensional permafrost thermal state model in combination with geological radar and ground temperature gradient data; calculating to obtain a frozen soil thermal stability index, and dividing the frozen soil area into refrigeration grades according to the frozen soil thermal stability index; aiming at the permafrost with different refrigeration grades, designing corresponding refrigeration parameters of the flexible hot rod; a corresponding roadbed structure is designed according to the refrigeration parameters of the flexible hot rod; under different working conditions, a hot rod refrigerating capacity attenuation rate test is performed, a hot rod power ground temperature feedback control model is established based on test data, and refrigerating parameters of the flexible hot rod are dynamically adjusted. Through the high-power flexible hot rod, the three-dimensional data model, hierarchical design, dynamic feedback control and other technologies, the refrigerating capacity and the space coverage uniformity can be effectively improved, and the operation and maintenance cost is greatly reduced.

The present application relates to the technical field of electric digital data processing, in particular to a numerical method and system for analyzing stress field of tunnel frozen soil curtain based on finite element, which obtains a three-dimensional model of a tunnel construction site and geological material characteristic data; performs grid division on the three-dimensional model to obtain a finite element grid model of the three-dimensional model; performs stress simulation on the finite element grid model based on the geological material characteristic data to obtain an initial stress field of the finite element grid model before freezing; analyzes the trend of change of soil density in the freezing process based on the stress distribution of each unit grid in the initial stress field in the finite element grid model to determine a frost heaving stress field of the finite element grid model; and superimposes the initial stress field and the frost heaving stress field to determine a comprehensive stress field of the finite element grid model. The present application effectively improves the accuracy of analyzing stress field of tunnel frozen soil curtain.

The application discloses a kind of anti-frost heaving pile foundation for installing photovoltaic support in frozen soil area and its construction method, belong to frozen soil area pile foundation technical field.The anti-frost heaving pile foundation includes photovoltaic support, prefabricated pipe pile, support connecting section, anti-frost heaving section and fixed section, support connecting section is located above prefabricated pipe pile for connecting photovoltaic support and pile foundation;Anti-frost heaving section is filled with anti-frost heaving material to eliminate the influence of soil frost heaving on engineering, and plays the role of anti-soil frost heaving;Fixed section is located at the lower end of prefabricated pipe pile to improve pile body stability and uplift resistance;The construction method includes: hole digging, hole cleaning, pouring core concrete, installing pile shoe positioner, vibration pile planting, installing centering positioner, filling anti-frost heaving material, sleeve and pouring filling core concrete etc.The application solves the problem of time and labor consumption of the original pile around frost heaving soil replacement technology, and the use of prefabricated pipe pile can save the time spent on pile maintenance, thereby speeding up the construction progress.

The invention discloses a method for identifying hydrological characteristics under the influence of frozen soil degradation. The method comprises the following steps: acquiring and preprocessing layered soil phase state data and hydrological flux data; calculating a depth-time-delay correlation matrix in the multi-year time-delay set, and screening out a significant depth; performing single inflection point segmented regression by taking the phase state data of the current year as an independent variable on each depth passing the test, and synchronously estimating a threshold value and post-threshold sensitivity of the depth; the three elements of time delay, threshold and sensitivity are normalized and synthesized into a hydrological response index in an equal weight mode, and the depth of a master control layer is judged with the maximum absolute value of the threshold sensitivity as the criterion. The method overcomes the defects that in the prior art, only the thermal state is reflected, the response strength is difficult to quantify, and the key depth is difficult to identify, achieves automatic and standardized diagnosis of the frozen soil-hydrological coupling structure, and can be used for frozen soil degradation monitoring and cold region water resource management.