24 results about "Permafrost" patented technology

This invention relates to the field of permafrost coring technology, and particularly to a permafrost coring device, coring system, and coring method. The device includes: a support and fixing module, a coring module, a protective chamber, a monitoring module, a compensation module, and a control module. The coring module includes a coring ejector, a coring chamber, and a drill bit assembly. A door is provided at the bottom of the protective chamber. The monitoring module is used to detect the temperature and pressure of the coring chamber and the protective chamber. The compensation module is connected to an external compensator and is used to compensate for the temperature and pressure of the coring chamber and the protective chamber based on the detection results of the monitoring module. The control module is used to control the working status of the coring ejector, the drill bit assembly, the door, the monitoring module, and the compensation module according to instructions from a control terminal, so as to maintain the in-situ temperature and pressure of the coring chamber and the protective chamber during the process of moving to the target location in the permafrost, ejecting the coring sample, and completing the coring process.

The present application relates to a kind of device for quickly estimating the content of permafrost block ice, which includes a closed cubic test space formed by side plate, bottom plate and cover plate. The center of the cover plate is inlaid with an infrared imager; the inside of the closed cubic test space is provided with a fixed constant temperature cold source, and the upper part of the fixed constant temperature cold source is provided with a frozen soil sample; the upper part of the frozen soil sample is provided with a movable constant temperature cold source, and a pair of constant temperature cold source handles are symmetrically arranged on both sides of the movable constant temperature cold source; the outside of the closed cubic test space is provided with a circulating pump, a constant temperature liquid storage tank and a cooling chamber connected together through pipes; the output end of the circulating pump is connected with the injection inlet of the movable constant temperature cold source and the fixed constant temperature cold source respectively; one end of the cooling chamber is connected with the outlet of the movable constant temperature cold source and the fixed constant temperature cold source respectively. At the same time, the use method of the device is also disclosed. The present application can be sampled on site to realize rapid testing, and reduce the cost of sample low-temperature transportation.

This invention discloses a non-destructive method for determining the dielectric constant of undisturbed permafrost, belonging to the technical field of permafrost dielectric property measurement. The method includes: experimentally measuring the dielectric constants of single-phase dry soil, pure water, and ice in undisturbed permafrost; non-destructively obtaining the porosity of undisturbed permafrost specimens; establishing calculation formulas for the volume ratios of ice, unfrozen water, and soil with respect to unfrozen water content and porosity, respectively; preparing a series of frozen specimens with different porosity ratios using thawed soil samples from the same source as the undisturbed permafrost; experimentally measuring the unfrozen water content at different sub-zero temperatures, obtaining a bivariate prediction model through quadratic fitting, and outputting the unfrozen water content corresponding to any temperature and porosity, thereby obtaining the volume ratios of ice, unfrozen water, and soil; and obtaining the overall dielectric constant of the same type of permafrost in the same region at a fixed temperature using a three-phase dielectric mixing model or a deep neural network model. This invention improves testing accuracy without damaging the permafrost structure.

The application discloses a kind of high altitude permafrost engineering disturbance area's vegetation recovery method, comprising the following steps: to meet sowing time period, turn over, supplement grass seed, sowing time period is: deep 0 cm place consecutive 10 days daily average ground temperature value is not less than first preset temperature value and deep 50~60 cm place consecutive 12 daily average ground temperature value is not less than second preset temperature value after the deadline 3~10 days;Cover multilayer covering net, until deep 0 cm place consecutive 8 days average ground temperature value is not less than third preset temperature value, remove part of covering net, only remain a layer of covering net;When grass seedling grows to 5~8 cm, remove last layer of covering net.The application is limited by the daily average ground temperature value of deep 0 cm in frozen soil disturbance area and deep 50~60 cm in frozen soil disturbance area, which helps to keep the endosperm cells inside active after seed sowing, increases the germination rate of grass seeds, and has good vegetation recovery effect.

The application relates to the technical field of mineral exploration, and in particular to a multi-modal mineral prediction agent cooperation method and system based on LLM dynamic perception. The method comprises the following steps: acquiring surface multi-modal data of a permafrost layer mineral, analyzing the interaction between a surface methane-loving bacterial community structure and permafrost respiration gas in the permafrost layer above the mineral based on the surface multi-modal data, and obtaining a permafrost microorganism-gas coupling information set; based on the permafrost microorganism-gas coupling information set, simulating the migration path of the gas in the heterogeneous permafrost through an LLM generator, associating and mapping the migration path with the mineral type, and obtaining a mineral characteristic inference set; based on the mineral characteristic inference set, positioning the methane seepage and the microbial hotspot area through a discriminator, generating a grid sampling-fixed point deep digging cooperation decision, and outputting a multi-modal mineral prediction agent cooperation log of minimum invasion operation. The balance between accurate target positioning and minimum environmental invasion is achieved, and the reliability of mineral prediction is improved.

The invention belongs to the technical field of buildings, and relates to a construction method of an ice layer head-expanding self-locking anchor rod, which comprises the following steps of: S1, forming a drill hole (8) by using a drill bit, and enabling the drill hole (8) to penetrate through an accumulated snow and freeze thawing layer (6) and then penetrate into a perpetual freezing ice layer (7); s2, an ice layer head-expanding self-locking anchor rod is inserted into the drill hole (8), the ice layer head-expanding self-locking anchor rod comprises an anchor rod body (1) and a head-expanding device (2) arranged at the lower end of the anchor rod body (1), and the head-expanding device (2) is located in the bottom of the drill hole (8); s3, the drill hole (8) is filled with water; and S4, after irrigation water is frozen, a connecting part (1-1) reserved at the top of the anchor rod body (1) penetrates through a reserved hole of a foundation and is connected with the foundation, and construction of the ice layer head-expanding self-locking anchor rod is completed. No cementing material is adopted, pouring and maintenance are not needed, construction is convenient and fast, materials are light and convenient to transport and carry, and on-site zero pollution is achieved.

The invention relates to the technical field of hydrology, and discloses a regulation and storage function evaluation method for a hot melt lake and pond in a high and cold frozen soil region, and the method comprises the steps: obtaining multiple types of monitoring data of a target permafrost region drainage basin, carrying out the correction and unified time processing, and carrying out the division of an effective rainfall event and an event window; in the event window, calculating a soil reserve variable quantity, an underground water reserve variable quantity and a hot melt lake and pond reserve variable quantity; calculating a normalized water storage efficiency index; acquiring a hysteretic curve, a peak time lag, a hysteretic loop area, a dynamic connectivity index and a statistical connectivity index; according to the hysteretic curve, judging a function mode of the hot melting pond, and dividing a rainfall threshold value of function conversion of the hot melting pond; comprehensive regulation and storage indexes are calculated, regulation and storage capacity analysis is carried out, and regulation and storage function evaluation of the hot melt lakes and ponds is achieved; according to the method, not only can water storage, water supply and storage regulation behaviors of the hot melting pond under the event scale be finely identified, but also the dynamic hydrological function of the hot melting pond can be accurately evaluated.

The invention discloses a dielectric constant lossless determination method for undisturbed permafrost, and belongs to the technical field of permafrost dielectric property determination, and the method comprises the following steps: testing to obtain the dielectric constants of single-phase coherence soil, pure water and ice in the undisturbed permafrost; losslessly obtaining the void ratio of the original permafrost test piece; establishing a calculation formula of the volume ratio of ice, unfrozen water and soil mass about the unfrozen water content and void ratio; the method comprises the following steps: preparing a series of frozen test pieces with different void ratios by using a thawed soil sample homologous with undisturbed frozen soil; under different negative temperatures, the unfrozen water content is measured through experiments, a double-variable prediction model is obtained through quadratic fitting, the unfrozen water content corresponding to any temperature and void ratio is output, and therefore the volume ratio of ice to unfrozen water to soil is obtained; and obtaining the overall dielectric constant of the same type of frozen soil in the same region at the fixed temperature through a three-phase dielectric hybrid model or a deep neural network model. The test precision is improved while the frozen soil structure is not damaged.

The invention discloses an active ice melting method and system for frozen soil of a high-ice-content frozen soil foundation. The method comprises the steps that S1, the position and the thickness of a high-ice-content frozen soil layer in a stratum are determined; s2, according to the position and the thickness of the high-ice-content frozen soil layer in the stratum, at least one center water injection vertical shaft and a plurality of water extraction vertical shafts formed around the center water injection vertical shaft are formed in the high-ice-content frozen soil foundation, and layered and fixed-point high-pressure hydraulic fracture forming is carried out in the center water injection vertical shaft, so that the high-ice-content frozen soil layer is obtained; enabling the crack to horizontally expand in the frozen soil layer until the crack is communicated with the water extraction vertical shaft to form a circulating convection field so as to melt frozen soil; s3, water injection is stopped, and foundation reinforcing slurry is injected into the settled and compacted soil body; and S4, backfilling the upper part of the settled earth surface area with filler layer by layer to a designed elevation. According to the method, the high-ice-content thermally unstable foundation can be safely and controllably reconstructed into the thermally stable composite foundation which meets engineering requirements and is high in bearing capacity.

The application provides a high-temperature unstable permafrost pre-melting and vacuum preloading reinforcement system and a reinforcement method, and the system comprises a pre-melting and thawing device, a sealing system and a steam generator, and the sealing system and the steam generator are connected with the pre-melting and thawing device. The pre-melting and thawing device is matched with the steam generator, the high-temperature unstable permafrost is pre-melted by using steam convection and heat conduction, the pre-melting and thawing efficiency is improved, the system has the characteristics of green environmental protection, and has no adverse effect on subsequent engineering construction. The sealing system is matched with the pre-melting and thawing device to realize the drainage consolidation of the high-temperature unstable permafrost foundation, the thawing pipe and the soil body are prevented from being empty, the pre-melting and thawing efficiency is ensured, the uneven subsidence problem caused by repeated freezing and thawing cycles is eliminated, the bad properties of the frozen soil are changed, and the stability of the foundation is effectively improved.

The present application relates to the technical field of climate monitoring, and specifically includes a permafrost and climate coupling response model based on multi-source data, a dynamic degradation threshold set according to permafrost types, timely triggering of risk reminders and labeling of abnormal regions, and improved permafrost degradation risk identification accuracy.

This invention discloses a heat pipe-type insulated sampling drill bit and method for drilling polar ice cores and natural gas hydrates in terrestrial permafrost regions. The drill bit includes a double-walled drill rod, a refrigerant storage chamber, a direct-heating pipe, a spiral heat pipe, and a drill bit. The double-walled drill rod comprises an inner tube and an outer tube with an annular gap between them; the inner wall of the drill rod serves as a core sampler. The refrigerant storage chamber is located at the upper end of the drill rod and is filled with liquid nitrogen; a high-pressure air inlet is located at the upper end of the refrigerant storage chamber. The direct-heating pipe is located at the lower end of the refrigerant storage chamber and is situated within the annular gap of the drill rod. The spiral heat pipe is located at the lower end of the direct-heating pipe and is connected to it; the spiral heat pipe is situated within the annular gap of the drill rod and is filled with Freon. The drill bit is located at the lower end of the drill rod. This invention offers high sample collection efficiency and minimizes disturbance to the original state of ice cores and natural gas hydrates.

The invention discloses a permafrost refrigeration system control method based on a cold load, and belongs to the technical field of permafrost protection measures, and the method comprises the following steps: 1, predicting the cold load of a permafrost protection work site; secondly, a refrigerating system control module based on the cooling load is constructed. Intelligent control over the operation process of the refrigerating system is achieved through an intelligent algorithm, and the dual purposes of permafrost temperature control and refrigerating system energy saving are achieved. The permafrost cold load is predicted based on a machine learning model, a refrigeration system control module based on the cold load is constructed, the control module effectively integrates geological information and meteorological information of different time scales, the dynamic adaptability to key influence factors of permafrost degradation is improved, and the advantages of being high in generalization ability, energy-saving, efficient and the like are achieved; and according to the cold load prediction and feature recognition result, the control strategy of the refrigeration system is adjusted in time, a control instruction is generated, and therefore the permafrost intelligent protection method with the environment self-adaption function is achieved.

The present application relates to the field of cold region tunnel freeze damage prevention and control, and particularly relates to a full permafrost tunnel drainage system based on suction type heating. The system comprises two heat preservation water channels, the heat preservation water channels are arranged along the full length of the two sides of the tunnel, and the four walls of the heat preservation water channels are provided with heat preservation layers; a plurality of drainage systems, wherein the circumferential blind pipes are arranged circumferentially along the tunnel arch wall, the bottoms are communicated with the heat preservation water channels through longitudinal blind pipes and horizontal water guide pipes, and are used for guiding and discharging the seepage water of the surrounding rock, and the plurality of drainage systems are distributed at the set positions of the tunnel; a plurality of heating devices, part of the heating devices are arranged at the top of the tunnel and are used for heating the circumferential blind pipes, and the remaining part of the heating devices are arranged at one side of the heat preservation water channels and are used for heating the set positions of the heat preservation water channels, in other words, the plurality of drainage systems and the plurality of heating devices cooperate to carry out fixed-point concentrated heating on the drainage of the permafrost section in the tunnel hole, the upper limit of the permafrost layer and the shady place of the tunnel entrance, so as to ensure that the tunnel drainage system is unobstructed and is not easy to freeze.

The application discloses a kind of cable logging geological interface identification method and system based on multi-parameter cooperation, it is related to plateau permafrost logging identification technical field, the method includes: the multidimensional logging data of target stratum area is collected;Pretreatment is carried out, and standardized logging data set is obtained;Geological interface identification parameter system is constructed;Resistance difference parameter, acoustic travel time difference parameter and compensation neutron difference parameter are determined cooperatively, and the depth of bottom boundary of geological interface and corresponding logging response characteristics are output;Geological reference report is generated.The application solves the technical problems that existing technology is easy to be affected by geological difference and salinization when carrying out geological interface identification in plateau area, leading to misjudgment of identification, inaccurate positioning of the depth of bottom boundary of geological interface, and unreliable acquisition of logging response characteristics in plateau area, achieves multi-parameter cooperative accurate identification of geological interface in plateau area, and improves the accuracy and reliability of the depth of bottom boundary of geological interface positioning in plateau area.

This invention relates to an all-weather permafrost environment monitoring device and its construction method, specifically a permafrost environment measurement device and its on-site construction method. It aims to overcome the problems of existing permafrost environment monitoring devices, such as limited functionality, low integration, inconvenient deployment, and inaccurate positioning. The invention utilizes a soil temperature sensor to acquire soil temperature, a soil moisture sensor to acquire soil water content, and a snow depth sensor to acquire the snow cover depth on the soil surface. A data acquisition module is connected to the snow depth sensor, soil temperature sensor, and soil moisture sensor respectively. The sensor data is sequentially filtered, amplified, and converted from digital to analog to generate digital signals. The main controller module processes the digital signals to obtain the snow cover depth, soil temperature, and soil water content. The beneficial effects include effectively avoiding mutual interference between the two types of sensors, ensuring the accuracy of data for each monitoring element, and significantly improving overall measurement accuracy.

The invention provides a permafrost ice layer degradation monitoring method and system, and relates to the technical field of permafrost monitoring, and the method comprises the steps: collecting the physical parameters of permafrost at different depths through a distributed sensing device network disposed in a target area; performing preliminary analysis on the physical parameters in the edge computing equipment, and identifying potential abnormal points based on a preset single-parameter threshold value and / or a multi-parameter fused risk index model; uploading data of each monitoring point and an abnormal preliminary screening result to a cloud server, performing spatial correlation analysis in combination with GIS geographic information of a target area, and identifying an abnormal point cluster area; performing risk level judgment on the abnormal point cluster region based on a preset risk level rule, and generating monitoring and early warning information; and carrying out visual marking on the monitoring and early warning information and pushing the monitoring and early warning information to corresponding users. According to the technical scheme, powerful technical support can be provided for the stability of the cold region engineering and the safety of the regional ecological environment.

The application provides a plateau lifeline-oriented glacier permafrost risk assessment method and device, relates to the technical field of data processing, and comprises the following steps: acquiring historical detection data of a target area; the historical detection data comprises radar image data, meteorological data and geological data; influence factors are screened from the radar image data, meteorological data and geological data, and the influence factors are taken as inputs to train a preset risk prediction model to obtain a target risk prediction model; the influence factors comprise elevation, slope, maximum elevation difference, deformation rate, shear strength, pore pressure, frozen soil layer thickness and frost heaving force; current detection data of the target area is input into the target risk prediction model to determine the risk level of the target area. The application considers the influence of many factors on the railway, highway and power transmission line in the glacier area, and enhances the robustness of the safety assessment of the glacier permafrost in engineering practice.

Systems and methods are disclosed for mining lunar and Martian polar permafrost to extract gas propellants. The method can comprise identifying a plurality of near-polar landing sites in craters in which the surface comprises permafrost in perpetual darkness, wherein such landing sites have perpetual sunlight available at altitudes of about 100 to 200 m. A mining outpost can be established in at least one of the sites and a high altitude solar array deployed at the landing site using a lightweight mast tall enough to generate near continuous power for the outpost. Systems and apparatus are disclosed for mining the permafrost at the landing sites using radiant gas dynamic mining procedures. The systems can comprise a rover vehicle with an integrated large area dome for cryotrapping gases released from the surface and multi-wavelength radiant heating systems to provide adjustable heating as a function of depth.

This invention relates to the field of machine learning technology, and more particularly to a machine learning-based method for detecting underground ice content. The method includes: uniformly dividing the detection area into several sub-regions; determining ice-containing areas based on parameter characterization values; determining spatiotemporal variation labels corresponding to the detection areas or correcting regional parameters based on the proportion of ice-containing areas and feature tendency values; inputting measured sensor parameters into a Clapeyron equation model and an underground permafrost model respectively, and calculating the ice-to-water ratio based on the model output results; and searching a database based on the spatiotemporal variation labels, including: extracting only data from sample datasets and matching them with measured sensor parameters, and calling the sample datasets based on the matching results; or: aggregating data based on the differences in data features of sample datasets and corresponding preprocessed parameters, filtering and analyzing each aggregated dataset, and calling the aggregated datasets. This invention can improve the accuracy of machine learning-based underground ice content detection.

The invention relates to the technical field of geological analysis, in particular to an artificial intelligence modeling analysis method for natural gas hydrate real-time monitoring data, which comprises the following steps: establishing a plurality of machine learning models for learning change rules of hydrate monitoring data; optimizing each machine learning model in a test set by using a sparrow search algorithm to obtain a plurality of optimized machine learning models; and performing prediction performance comparison on the multiple optimized machine learning models in the prediction set, and screening out an optimal machine learning model for hydrate monitoring data prediction analysis. According to the method, three machine learning models are built to learn change rules of wellbore data, frozen soil zone thickness, hydrate in-situ formation and decomposition and ecological evolution parameters, hyper-parameters of the machine learning models are optimized by adopting a sparrow optimization algorithm, and formation temperature, pressure distribution, frozen soil zone thickness and ecological evolution parameters are predicted. The CH4 concentration in the water body in the hydrate formation and decomposition process, and the environmental parameters CH4 and CO2 flux.

The invention provides a dynamic optimization method and system for a landslide control scheme, and relates to the technical field of landslide control, and the method comprises the steps: obtaining surface thermal infrared data and three-dimensional laser scanning terrain point cloud data of a high and cold frozen soil roadbed section; determining a plurality of freeze-thaw landslide risk areas based on the information of the plurality of ground temperature sensitive areas and the information of the plurality of ground temperature stable areas; determining a landslide representative treatment area and a plurality of core landslide collaborative treatment areas based on the plurality of freeze-thaw landslide risk areas; based on the reinforcement stability response data of the representative landslide treatment area, the second reinforcement stability response data of the representative landslide treatment area and the plurality of core landslide collaborative treatment areas, determining a plurality of target anchoring pile position points of each core landslide collaborative treatment area; anchoring pile construction is conducted based on the multiple target anchoring pile position points of each core landslide collaborative treatment area. According to the method, a landslide treatment anchoring pile position point dynamic optimization scheme adaptive to the high and cold frozen soil complex working conditions can be efficiently and accurately determined.

The invention relates to the technical field of expansive soil slope crack intelligent detection, and discloses an expansive soil slope crack detection method and system based on big data processing, and the expansive soil slope crack detection method based on big data processing establishes a unified space-time coordinate system through a multi-source data fusion technology. A deep convolutional neural network and an attention mechanism are adopted to perform intelligent feature extraction and multi-modal fusion, and an improved U-Net network is utilized to realize fracture accurate segmentation and geometric parameter extraction. Time sequence modeling is performed on fracture evolution in combination with a multi-head attention mechanism, system characteristics are calculated and judged based on a Lyapunov index of a chaos theory, and accurate prediction of a future development trend is realized. And establishing a multi-dimensional risk assessment system, and carrying out graded early warning and intelligent decision making according to the comprehensive risk index. The method is suitable for intelligent monitoring of the expansive soil slope in the polar region permafrost region, and an innovative technical solution is provided for infrastructure safety monitoring.