237 results about "Gelisol" patented 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 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 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 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 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 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 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 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 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.

The invention relates to the technical field of soil monitoring and analysis, in particular to an underground frozen soil ice layer monitoring system and device based on multi-sensor fusion. Ultrasonic signals are sent and received through a sound wave monitoring unit, the surface temperature value of a probe is obtained through a temperature measuring unit, and the probe is heated through a temperature control module; constructing a wave velocity change curve through a feature extraction module and dividing the wave velocity change curve into a plurality of sub-curve segments; the surface state trend of the probe is judged according to the first analysis result of the surface state characterization quantity of the probe through the feature joint judgment module, the continuous output power determination mode of the temperature control module is selected according to the surface state trend through the power screening unit, and the ultrasonic signals collected under the continuous output power are recorded through the monitoring recording unit. The heating power is dynamically adapted according to the deicing effect of the probe and the influence phenomenon of heating on the environment, and the data acquisition accuracy of underground frozen soil ice layer monitoring is improved.

The invention relates to the field of soil microorganism sampling, and discloses an alpine region soil microorganism diversity in-situ stratified sampler which comprises a fixed seat, a multi-layer drilling mechanism is arranged on the surface of the fixed seat, the multi-layer drilling mechanism comprises a motor, an output shaft of the motor is fixedly connected with a gear, and the output shaft of the motor is fixedly connected with the gear. The center of the fixing base penetrates through and is rotationally connected with a rotating disc, and the center of the top end of the rotating disc is fixedly connected with an electric hydraulic rod. According to the invention, the motor drives the gear to mesh with the tooth block to drive the turntable to rotate, and cooperates with the electric hydraulic rod to push the drilling rod to rotate and move downwards to break through the frozen soil hardness limit; the interior of the drilling rod is divided into independent cavities through multiple sets of inclined partition plates in the drilling rod, a rotating handle can be driven through bevel gears a and b to drive a fixing sleeve and a sliding auger rod to operate, meanwhile, a protruding rod of the drilling sleeve slides along an annular groove of a feeding port, the auger rod is pushed to extend, and soil with different depths is accurately conveyed to the corresponding partition cavities.

The invention provides an infrared measurement method for temperature distribution in a frozen soil fractional congelation and expansion process. The method comprises the steps that frozen soil is placed in a soil column barrel, a temperature sensor is arranged at the position of the frozen soil, an infrared camera is arranged outside the soil column barrel, an infrared temperature measurement window is formed in the soil column barrel at a certain height, a polyethylene thin PE plate is fixedly installed at the position of the infrared temperature measurement window, and a layer of polyvinyl chloride PVC film is pasted on the inner side of the polyethylene thin PE plate. Infrared rays emitted by the infrared camera penetrate through the PE plate and the PVC film to irradiate the frozen soil, the infrared camera receives reflected rays reflected by the frozen soil, and the temperature of the frozen soil is measured according to the reflected rays; the temperature sensor is used for measuring the temperature of some sections of the frozen soil, and the temperature measured by the temperature sensor is used for correcting the temperature, measured by the infrared camera, of the frozen soil. According to the invention, a limited number of temperature sensors and a digital image method are adopted to correct an infrared image, and high-precision temperature measurement of the total cross section of the soil column, especially key positions such as segregation cracks, is realized.

The invention is suitable for the technical field of frozen soil engineering, and provides a method for determining the content of unfrozen water in three-dimensional pores of frozen soil under freezing and thawing circulation. According to the method, a frozen soil thawing process under a freezing and thawing cycle condition is focused, the adsorption effect and the capillary effect of water are combined, based on a three-dimensional pore structure, the quantitative relation between the unfrozen water content and the temperature, the medium size and the pore size is established, the change of the unfrozen water content is divided into three states, and an expression equation is deduced by combining a microscopic geometrical relation for each state; when the values of variables such as the temperature, the medium size and the pore size are known, the unfrozen water content can be quickly and accurately determined by judging the state of the unfrozen water and substituting the state into the corresponding equation, and the calculation efficiency and accuracy are effectively improved. The method not only provides a new thought for characterizing the unfrozen water content of the frozen soil in the freezing and thawing cycle process, but also can assist the geophysical prospecting work of the underground water in the frozen soil region, and especially has important application value for detecting the underground water content in the frozen soil region by using a magnetic resonance technology.

The invention relates to a liquid nitrogen artificial frozen soil experiment device which comprises a liquid nitrogen supply unit used for providing a liquid nitrogen cold source and an experiment body, the experiment body comprises a sample container and a liquid nitrogen cavity, the sample container is used for containing a soil sample, and the liquid nitrogen cavity is arranged below the sample container, is in heat conduction connection with the bottom of the sample container and provides a cold end for the soil sample; the temperature control unit is connected between the liquid nitrogen supply unit and the liquid nitrogen cavity of the experiment body, the temperature control unit is configured to automatically adjust the liquid nitrogen conveyed to the liquid nitrogen cavity, and the laser displacement sensor is fixedly arranged above the sample container and used for measuring the frost heaving displacement of the soil sample; through automatic adjustment of the liquid nitrogen flow, the bottleneck that the cooling process is uncontrollable and the stable temperature gradient is difficult to maintain in the prior art is solved, the inherent defects that a contact type measuring device is easy to freeze and clamp in an extremely low temperature environment are eliminated by the laser displacement sensor above the sample container, and continuous, accurate and reliable measurement of frost heaving displacement is realized.

The invention provides a frozen soil pipe pile construction parameter monitoring method and system, and the method comprises the steps: constructing a corresponding digital twin reference model library, and generating a reference sampling strategy and a power consumption management and control baseline of a whole construction period based on the actual environment parameters of a target pile before the construction; in the construction process, low-frequency reference sampling of the target pile is executed according to the reference sampling strategy and the power consumption control base line so as to obtain real-time state data of the target pile, and corresponding actual construction parameters are output; performing real-time inversion reconstruction processing on the target pile according to the actual environment parameters and the real-time state data so as to output corresponding target construction parameters; and detecting a hidden association rule between the target construction parameter and the frozen soil thermal disturbance and the construction process to generate a corresponding targeted construction optimization strategy, and dynamically adjusting the actual construction parameter according to the targeted construction optimization strategy. The method can adapt to the working conditions of low temperature and insufficient power supply in the remote frozen soil area, and the construction quality is guaranteed.

The utility model discloses a kind of high-cold meadow area frozen soil roadbed adjustable road widening structure, including frozen soil layer, the upper end of frozen soil layer is uniformly provided with anti-frozen soil mechanism, anti-frozen soil mechanism is used to prevent highway frost heaving damage, anti-frozen soil mechanism includes the concrete pile that frozen soil layer inside is uniformly provided, the upper end surface of frozen soil layer is paved with foundation compacted layer, the upper end surface of foundation compacted layer is poured with foundation layer, the upper end surface of foundation layer is poured with road, by the positioning pin plug-in steel sheet pile inside, bolt is inserted into foundation layer inside, it is convenient and fast to lay and install prefabricated concrete road, the design of detachable prefabricated concrete road can be conveniently adjusted road width, and it is convenient and fast to dismount and replace, improve maintenance and replacement efficiency, by symmetrically setting solar panel on both sides of foundation layer, clean pollution-free energy can be used to heat pipe heating foundation layer, to prevent frost heaving and thawing damage foundation layer inside.

The invention relates to a Mars frozen soil deep drilling coring vehicle and a coring method, the coring vehicle comprises a supercritical carbon dioxide preparation system, a high-pressure anchoring system, a drilling coring system and a transportation and storage system, and the coring process is divided into a preparation stage, an anchoring stage, a drilling coring stage, a barrel loading and recycling stage and a separation stage. The characteristics of high rock fracturing performance and high penetrability of supercritical carbon dioxide jet flow are utilized, deep drilling coring is assisted, and a plurality of conical anchoring pistons distributed in the circumferential direction are hydraulically pushed to be inserted into a soil body at the same time to achieve anchoring. A complete rock core transportation and storage mechanism is designed, the drilling coring system obtains the rock core, cuts off the rock core and places the rock core in a core storage bag, and under the synergistic effect of different types of guide rails and clamping jaws in the transportation and storage system, the rock core is stored in a core storage barrel and recycled in a centralized mode, and multi-point multi-time sampling can be achieved. According to the Mars frozen soil deep drilling coring vehicle and the coring method, stable anchoring and deep drilling of a Mars frozen soil stratum can be achieved, and the coring efficiency and quality can be remarkably improved.

The utility model relates to engineering detection technical field, discloses a kind of quick detection device of dry density specifically, to solve the problems such as traditional detection method operation cumbersome, low efficiency, existing radiation risk. Device core includes standard container, weighing sensor, signal conditioning circuit, single-chip microcontroller, hardware proportioning calculator, stable judging module, display screen and ventilation / heating module. Through RFID, container volume V is automatically read, weighing sensor measures soil sample mass m, proportioning calculator calculates dry density ρ=m / V in real time, and the result is output through display screen;Ventilation / heating module accelerates moisture evaporation, shortens detection time. The device has the advantages of real-time display, simple operation, avoids artificial error, no radiation risk, and is suitable for fine-grained soil, coarse-grained soil and frozen soil detection dry density requirements, etc., and is suitable for water conservancy engineering, such as earth dam filling and embankment engineering, building engineering and other fields of soil compaction quality rapid detection.

The invention provides a self-heating anti-freezing drainage pipeline system for a plateau permafrost region and a control method of the self-heating anti-freezing drainage pipeline system, and belongs to the technical field of engineering drainage in cold regions. According to the self-heating anti-freezing drainage pipeline system for the plateau permafrost region and the control method of the self-heating anti-freezing drainage pipeline system, the self-heating anti-freezing drainage pipeline system comprises a self-heating pipeline module, an energy supply module and an intelligent control module, and the self-heating pipeline module comprises a pipeline body and an integrated electric heating layer. By arranging the pipeline system composed of the self-heating pipeline module, the energy supply module and the intelligent control module, the integrated effect of energy self-supply, intelligent sensing and active anti-freezing in the plateau frozen soil area without the power grid is achieved, the unfreezing rate is calculated through captured data through configuration of the intelligent control module, and the unfreezing efficiency is improved. The parameter dynamically reflects the efficiency of freezing and melting, so that the system can accurately put energy based on the efficiency, and the problems of energy dependence and anti-freezing reliability are fundamentally solved.

The application discloses a kind of frozen soil area pumping drainage type pressure steam pre-melting method and system, comprising: surveying the deformation of surface, selecting frost heaving and uneven settlement disease serious road section, determining the depth and range of soil ice layer;Steam injection hole is arranged above the soil ice layer treatment layer on the side of roadbed slope, pumping drainage hole is arranged in the center of roadbed;Steam generator is heated and injected into soil ice layer, while pumping drainage, steam target melting ice is realized;While steam heating and pumping, monitoring pre-melting progress and effect are carried out using geophysical prospecting method.The high-temperature steam is transported to the interior of soil body by steam pipe, when high-temperature steam contacts with low-temperature soil body, heat conduction occurs, solid ice in the interior of frozen soil melts, after all the ice-rich frozen soil and soil ice layer in the climate warm and humid influence range are melted, the melting range is accurately controlled by pumping drainage, the bearing capacity of foundation is improved, and the possible deformation of frozen soil melting settlement is reduced.

The utility model relates to a drilling tool deviation prevention device for a coring drill, which comprises a base capable of being arranged on the ground surface. The lower surface of the base is provided with a positioning insertion column assembly which can be inserted into the stratum to assist in limiting the position coordinates of the base on the earth surface. The freezing reinforcing assembly can be inserted into a stratum in a mode of surrounding a drill hole to form a frozen soil block surrounding the drill hole, and the anti-deviation assembly can be inserted into the expanded drill hole to limit and support a drilling tool in the drill hole. A plurality of refrigeration arc plates of the freezing reinforcing assembly are annularly arranged on an installation annular plate at intervals in the mode of surrounding the anti-deviation assembly, and the installation annular plate is detachably embedded in the lower surface of the base. According to the utility model, the stability and the limiting strength of a soil body can be improved by freezing a soil layer, and meanwhile, the drill rod is elastically buffered and pulled by utilizing the limiting support of the anti-deviation structure, so that the two-dimensional constraint of the drilling tool is realized.

The utility model relates to the technical field of soil monitoring, in particular to a small frozen soil vertical deformation monitoring device, which comprises a bottom anchoring structure, an inner sliding rod, an outer sleeve and a first monitoring mark point, and is characterized in that the inner sliding rod is fixedly connected with the bottom anchoring structure; the outer sleeve is in sliding connection with the inner sliding rod; according to the small frozen soil vertical deformation monitoring device provided by the embodiment of the utility model, the interference of lateral soil layer deformation on a measurement result can be effectively eliminated, and the vertical displacement can be accurately identified and monitored.

The application provides a sensor-based seasonal frozen soil monitoring method and system, wherein the method comprises the following steps: dividing a monitored area into a grid, deploying a sensor group in the monitored area, acquiring geographical parameters of the monitored area, and acquiring a topographic influence factor of seasonal frozen soil according to the geographical parameters; acquiring heat flux between sensor monitoring points i and j in the monitored area; calculating a maximum weight matrix, calculating spatial autocorrelation between the sensor monitoring points based on the topographic influence factor, the heat flux and the maximum weight matrix; screening out unnecessary monitoring points according to the spatial autocorrelation, and sorting the monitoring points according to the spatial autocorrelation values, wherein the monitoring points with larger absolute values are sorted in front, and the monitoring points sorted in front are preferentially monitored. The method and the corresponding system can reduce the number of sensors deployed and the maintenance cost, and reduce the operation cost of the whole monitoring system by screening out redundant monitoring points in the seasonal frozen soil monitoring.

This invention relates to the field of natural gas pipeline safety treatment technology, and provides a method, apparatus, electronic device, and storage medium for obtaining frost heave in permafrost areas. The method includes: determining a surface temperature function; determining a constant temperature at a first depth below the surface; constructing a finite element model of the permafrost region calculation area based on the surface temperature function, the first depth, and the constant temperature; applying boundary conditions to the finite element model to obtain the time it takes for a freezing front to reach the lower edge of each grid layer in an M-layer grid from the surface down within the time range of the surface temperature function, as well as the temperature gradient at the location of the freezing front; and determining the frost heave based on the time and the temperature gradient. This method enables rapid and accurate determination of frost heave, providing fundamental data for the safety assessment of buried pipelines.