131 results about "Laboratory test" patented technology

The invention discloses a sound barrier sound insulation characteristic evaluation method suitable for a real ship complex sound field, and belongs to the technical field of real ship sound barriers, and the method comprises the steps: arranging hydrophone arrays at acoustic mirror symmetry positions at two sides of a real ship fairing sound barrier to form an in-situ measurement pair; controlling the ship to sail at a plurality of navigational speeds, and synchronously acquiring sound pressure time domain signals on two sides; carrying out preprocessing and time-frequency analysis on the signals, and calculating sound pressure levels of a sound facing surface and a sound backing surface to obtain an in-situ sound pressure level difference; and based on the sound pressure level difference at different navigational speeds, analyzing the change rule of the sound insulation performance along with the frequency and the navigational speed, and carrying out comprehensive evaluation. In addition, by arranging a vibration sensor and a turbulence measuring device, path separation of structural sound and flow-induced noise is achieved, spatial coherence weighted average is introduced, and the accuracy and representativeness of evaluation under a complex sound field are improved. The method overcomes the limitations of laboratory test environment distortion and single working condition, and can truly and comprehensively reflect the actual sound insulation efficiency of the sound baffle in the dynamic navigation of a real ship.

A stratum reinforcement modeling and analysis method for a shield tunnel crossing an existing structure is provided. Geological information and an engineering structure condition of the existing structure are acquired. Physical parameters of different soil mass layers are determined based on a laboratory test. A three-dimensional (3D) model is constructed. Mesh generation is performed on the 3D model defining a constraint for the 3D model. Model parameters are selected for the 3D model. A soil mass constitutive model is selected for the 3D model. Synchronous grouting simulation, construction load simulation and shield tunneling construction simulation are performed on the 3D model. Stratum parameters are changed to achieve stratum reinforcement modeling. Data analysis is performed by adopting different reinforcement schemes to achieve stratum reinforcement modeling and numerical analysis of the process of the shield tunnel crossing the existing structure.

The invention discloses a full-automatic fluid stirring device performance test system and a method thereof, and relates to the technical field of electrical digital data processing, on one hand, by calculating a flow state deviation degree Lpld and combining an amplification prediction model to output an amplification reliability coefficient Fkxs, the dynamic similarity between laboratory test and industrial working conditions is ensured, and amplification distortion is effectively solved; on the other hand, the dynamic change of fluid attributes is simulated, the energy efficiency attenuation rate Nxsl, the mixed dead zone expansion rate Hqkz and other process indexes are quantified, the dynamic matching coefficient Ddps is calculated on the basis, and the limitation of static testing is overcome; finally, according to the method, Fkxs, Ddps and other multi-dimensional dynamic indexes are subjected to weighted fusion, a comprehensive performance prediction index Zhyc is generated through nonlinear mapping, accurate prediction of the real performance of the stirring device in the whole period is achieved, and the accuracy and reliability of equipment type selection are remarkably improved.

The invention discloses a stomach cancer postoperative survival prediction method and system based on machine learning, and belongs to the technical field of medical worker crossing and medical worker combination. According to the technical scheme, the method comprises the following steps: acquiring clinical data of a gastric cancer patient, wherein the clinical data comprises demographic characteristics, tumor pathology characteristics, operation related parameters and laboratory detection indexes; filling missing values in the clinical data by using an iterative random forest missing value filling method based on mutual information weighting; on the basis of the filled data, a feature subset with the most information content for postoperative three-year survival prediction is screened out through a dual feature selection strategy; training a machine learning model by using the feature subset so as to predict the survival risk of the gastric cancer patient in three years after operation; and outputting a prediction result. The method has the beneficial effects that a plurality of key challenges from data preprocessing, feature engineering and model construction to interpretability and clinical application are systematically solved, and an accurate, reliable, transparent and practical gastric cancer postoperative survival prediction solution is finally formed.

The invention discloses a lossless evaluation method and device for the repair completion degree of a lining void disease of a hydraulic tunnel. The method comprises the following steps: acquiring a void geometric boundary, and constructing a corrected slurry time-varying electrical constitutive model based on fusion of laboratory test and field embedded sensing data; collecting a ground penetrating radar response sequence in a plurality of curing ages after grouting; performing constraint analysis on the ground penetrating radar sequence by using a multi-physical field coupling model or a physical constraint machine learning model containing slurry seepage, solidification dynamics and electromagnetic wave propagation, and reconstructing a slurry space filling state field; and inferring a receiving state of a far-end node in combination with the void-fracture network topology model, generating a residual void risk quantitative index, and generating a refilling decision. According to the method, through an observation-estimation-prediction-control closed loop mechanism, the problems of model parameter distortion and uncontrollability of a far-end blind area in a traditional method are solved, and accurate quantitative evaluation of the repair quality is realized.

This invention relates to the field of medical intelligent technology and discloses a method and system for intelligent recommendation of laboratory tests based on patient diagnosis and treatment information. The method includes: extracting clinical events from time-series diagnosis and treatment information to obtain standardized clinical events; determining the medical logical relationships of the standardized clinical events and labeling causal, temporal, and co-occurrence relationships to obtain labeled clinical events; constructing a disease evolution network with labeled clinical events as nodes and medical logical relationships as edges; analyzing the topology of the disease evolution network to obtain critical paths and hub nodes, and resolving the hub nodes as core clinical diagnosis and treatment intentions; associating and matching the core clinical diagnosis and treatment intentions with a pre-constructed dynamic correlation graph of test-intentions to obtain test item combinations; and ranking the test item combinations according to the clinical path fit based on the current diagnosis and treatment stage and individual characteristics to obtain a personalized test item recommendation list. This invention can improve the efficiency of test item recommendation.

The invention discloses a desktop type water bath high-low temperature exchange device capable of automatically replenishing water, which relates to the field of laboratory test equipment and comprises a high-temperature pool, a low-temperature pool and a sample transfer mechanism arranged between the high-temperature pool and the low-temperature pool, the high-temperature pool and the low-temperature pool are each provided with one automatic water supplementing system, and each automatic water supplementing system comprises a detection unit used for detecting the water level, a controller and a water supplementing execution unit controlled by the controller. According to the automatic water supplementing system, through the synergistic effect of the detection unit, the controller and the water supplementing execution unit, precise closed-loop control over the water level of the high-low-temperature water pool is achieved. The system can monitor the water level change in real time, automatically complete water replenishing operation, ensure that the water level is always maintained in a preset range in the whole experiment process, realize long-time unattended continuous testing, and improve the automation degree and the operation reliability of equipment.

This invention belongs to the technical field of road engineering material performance testing, and specifically relates to an improved water-boiling test method for the adhesion of asphalt to aggregates. The method includes: S1: Randomly selecting a number of aggregates and preheating them to the mixing temperature ±5°C; S2: Preparing asphalt binder and heating it to a fluid state not exceeding the mixing temperature; S3: Immersing the aggregates in the preheated to a molten state of the asphalt binder for 45 seconds, ensuring the aggregates are completely coated, then suspending the aggregates in an environment of 145±5°C for a preset time, removing them and cooling them to room temperature; S4: Immersing the aggregates from S3 in boiling water for at least 3 minutes; S5: Transferring the boiled aggregate samples to clean water, observing the degree of asphalt film peeling off the surface, evaluating the asphalt film coating rate, and determining the adhesion grade based on the average coating rate. This method makes the laboratory test conditions closer to actual engineering conditions, improving the reliability and guiding value of the results.

The invention discloses a deep surrounding rock anchor rod spacing quantitative determination method based on fracture toughness parameters. The method comprises the following steps: obtaining the fracture toughness and uniaxial compressive strength of rock through an indoor test; determining a uniaxial compression parameter and an elastic modulus of the rock mass by combining a geological strength index GSI, a damage factor D and a Hoek-Brown criterion; calculating a brittleness index B4 by using the fracture toughness of the surrounding rock, the uniaxial compressive parameter of the rock mass and the elastic modulus; and based on the brittleness index B4, the rock mass elasticity modulus, the engineering burial depth and the rock mass volume weight, a quantitative calculation formula of the anchor rod spacing is established, an empirical coefficient is solved in combination with the spacing range of the corresponding surrounding rock grade in the specification, and finally quantitative determination of the anchor rod spacing is achieved. The method overcomes the defect that quantitative basis is lacked in spacing adjustment in existing specifications, and is particularly suitable for anchor rod support design for controlling brittle failure of surrounding rocks under the deep high-stress condition.

The utility model relates to a laboratory test -tube rack, it includes U type chassis, be provided with a plurality of clamping strips on the U type chassis, a plurality of clamping strips are along vertical surface two -dimensional array arrangement, and horizontal adjacent two clamping strips are detachably connected with the shelf board through the buckle spare, the shelf board is selectively provided with a plurality of slots, the opening of the slot is matched with test -tube wall cooperation arrangement, the bottom wall of U type chassis and / or the board face of shelf board is opposite test -tube bottom end arrangement. The utility model solves the problem that the poor commonality of existing test -tube rack for different specifications test -tube, can be flexible adaptation multiple diameter and length test -tube, need not prepare a plurality of test -tube rack for different specifications test -tube, be favorable to reduce experiment cost and space occupation.

The utility model provides a laboratory test tube cleaning machine which solves the problem that manual test tube cleaning efficiency is low, is simple in overall structure and small in occupied space and comprises a workbench, a disc support capable of being driven to rotate is arranged on the workbench, and a plurality of test tube clamping stations are arranged on the outer circumference of the disc support. A liftable cleaning mechanism is arranged at the position, on one side of the disc support, of the workbench, the cleaning mechanism comprises a mechanical arm shell, the front end of the mechanical arm shell is rotationally connected with a vertically-distributed cleaning rod, and a water passing cavity is formed in the cleaning rod; a plurality of water passing holes communicating with the water passing cavity are formed in the side wall of the cleaning rod, and a brush is arranged on the outer wall of the cleaning rod; a cleaning driving assembly for driving the cleaning rod to rotate is arranged in the mechanical arm shell, and a rotating connector is installed at the upper end of the cleaning rod and used for being communicated with an input pipe of cleaning liquid.

This invention relates to a rapid iron ore grade identification method based on image processing for on-site application during mining. The method comprises the following steps: 1) acquiring digital images of iron ore samples of different grades from the mining area and establishing an iron ore grade identification model using a deep learning algorithm; 2) using this identification model to rapidly identify the iron ore grade within the boreholes of each blasting unit block, then estimating the iron ore grade of each unit block using the inverse power of distance method based on this grade, and finally calculating the iron ore grade of the entire blasting area using the inverse power of distance method for each unit block. The advantages of this invention are: it overcomes the shortcomings of complex procedures, large computational load, and long time consumption in determining iron ore grade in mining areas; the identification time for a single image is only 0.3 seconds. Compared with laboratory test values, the identification accuracy can reach 90%, achieving rapid on-site identification and estimation of iron ore grade, laying the foundation for building intelligent mines.

This invention discloses a method for accurate lithology identification and correction of logging data based on artificial neural networks, comprising the following steps: collecting logging data, laboratory test data, and regional geological background data of the target area from buried hills; preprocessing the collected logging data and laboratory test data to establish a correspondence between the logging data and laboratory test data, forming a dataset; constructing an artificial neural network model; training and optimizing the constructed artificial neural network model based on the dataset; inputting the logging data of the target well to be corrected into the trained artificial neural network model, outputting corrected mineral element content data; and, based on the corrected mineral element content data and combined with the regional geological background, achieving lithology classification and accurate identification of the target well. This invention uses the above method to convert logging data into laboratory-precision data, improving the accuracy of lithology identification under complex geological conditions such as Archean metamorphic buried hills.

An artificial intelligence (AI)-based system for optimizing economic, environmental, and technical performance of concrete mixes. The system may obtain concrete mix data from laboratory testing of trial concrete mixes and production concrete mixes. The system may also obtain results from experiments designed to determine the impact of variation in raw materials. An AI model may be trained using the concrete mix data, and the trained AI model may be used to determine an optimize concrete mix having specific chemical and mechanical properties, environmental impacts, and financial performance. The trained AI model may be used to certify concrete mixes, provide performance metrics of laboratories testing concrete mixes, analyze performance of the trial and production concrete mixes, determine environmental product declarations, and analyze raw materials in concrete mixes in addition to provisioning geographic information system (GIS) information.

The present application is a kind of geotechnical particle contact creep deformation discrete element numerical simulation method, the method is used to simulate long time contact creep between coarse particles, respectively determine four parameters in burgers model of normal coarse particle contact creep and tangential coarse particle contact creep;Obtain the corresponding four parameters under all different normal loads, the corresponding four parameters under all different normal loads and different tangential loads, respectively function fitting with load as independent variable and parameter as dependent variable, respectively obtain the function expression of eight parameters and load, and embed burgers model in PFC3D software;When the input normal load and tangential load are determined, the parameters in burgers model can be dynamically adjusted, and then the particle contact creep displacement under any load condition and time can be obtained. Break through the limitation of laboratory test, realize the quantitative prediction of rheological deformation of coarse aggregate in actual engineering.

The invention relates to the technical field of strength detection, in particular to a geological and geotechnical investigation strength test device which comprises a supporting mounting cylinder, a conical surface mounting cover arranged at one end of the supporting mounting cylinder, a mounting lug boss arranged in the middle of the conical surface mounting cover, a hanging ring arranged on the mounting lug boss, and an adaptive positioning locking mechanism arranged on the supporting mounting cylinder, comprising a plurality of adaptive locking modules arranged on the outer side of a supporting mounting cylinder at equal angles. And the displacement strength detection mechanism comprises a limiting guide ring arranged at the other end of the supporting installation cylinder, and a plurality of mobile detection modules are arranged on the limiting guide ring in a matched mode. The method fundamentally changes the limitation of the traditional sample separation laboratory test, realizes the efficient, stable and comprehensive in-situ evaluation of the original stratum strength, has the remarkable advantages of real data, high efficiency, strong adaptability, good reliability and the like, and has important value for improving the accuracy of geological exploration and the scientificity of engineering construction.

Traditionally, the risk or progression of health conditions such as acute kidney injury (AKI) or congenital heart failure (CHF) are evaluated based on laboratory tests. While being worn by a patient, an interstitial patient monitor having a plurality of working electrodes continuously monitors a plurality of analytes in interstitial tissue of a patient. In this way, the interstitial patient monitor can promote early detection of health conditions such as AKI and CHF without laboratory tests.

A method for estimating and controlling a battery energy storage system (BESS) life model. Receiving a BESS life model that estimates an expected remaining useful life of the BESS at multiple hierarchical levels. The BESS life model is generated by a process including constructing a cell-level degradation model based on laboratory test data representing degradation behavior of a plurality of battery cells; generating cell life predictions by executing a Monte Carlo simulation; aggregating the cell life predictions into pack life models by selecting a worst-performing cell; aggregating the pack life models into a node life model; and generating a system-level life estimate based on the node life model. Adjusting an operational parameter of the BESS based on the received BESS life model, wherein the operational parameter includes one or more of a charge rate, a discharge rate, a depth of discharge, a cooling system setpoint, and a module-level balancing.

1. Name of the designed product: magnetic stirrer. 2. Use of the designed product: magnetic stirring of mixed liquids in chemical analysis and laboratory tests. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view.

The present application belongs to the technical field of cleaning device, and particularly relates to a test tube cleaning device for clinical laboratory, which comprises an outer box shell and a test tube rack. The inner cavity of the outer box shell is divided into an equipment cavity and a cleaning cavity. An inner wall cleaning head is arranged in a guide cylinder of the cleaning cavity. The test tube rack comprises a cover plate, a bottom plate, a seat upright plate, a tail support plate and a head support plate. The seat upright plate, the tail support plate and the head support plate are connected between the cover plate and the bottom plate. Circular holes for inserting test tube bottles in the horizontal direction are arranged on the tail support plate and the head support plate. The horizontal sliding module can push the inner wall cleaning head into the test tube bottle, and the rotary driving mechanism can drive the inner wall cleaning head to rotate in the test tube bottle. The cleaning device of the present application is convenient for taking and placing the test tube bottle through the test tube rack, and the test tube bottle is cleaned by the inner wall cleaning head. The height of the cleaning device is more related to the number of the vertically arranged test tube bottles on the test tube rack, and the overall height of the cleaning device can be effectively controlled.

The invention provides a device for verifying an engine driving exhaust emission system in a laboratory, and belongs to the technical field of exhaust emission. Comprising an experiment bench used for bearing an engine, the engine arranged in the experiment bench, an exhaust pipeline used for collecting engine tail gas and injected air, a spraying cooling system integrated in the exhaust pipeline, and a back pressure control system arranged at the rear end of the exhaust pipeline. The measuring systems are arranged at different parts of the device; and the control system is used for controlling the device to work. The device integrates multivariable adjusting functions such as the shape / size of an exhaust pipeline, the water spraying amount, the back pressure and the engine working condition, and the influences of different parameters on the injection ratio, the temperature field and the pressure distribution can be tested independently or in a combined mode. An economical and efficient solution can be provided for laboratory test run of the small / micro turbojet engine; experimental data can directly guide the design of an actual airplane laboratory exhaust pipeline and an exhaust tower, and the development period is shortened.

The utility model relates to the technical field of safety cabinets, in particular to a safety cabinet for storing laboratory test tubes, which comprises a test tube storage rack arranged in a cabinet body, the test tube storage rack comprises a top plate and a bottom plate which are fixedly connected together and arranged in parallel, and the top plate is provided with through holes along a rectangular array. Blind holes opposite to the corresponding through holes are formed in the bottom plate, limiting rings are arranged over the through holes, and the limiting rings are fixedly arranged on a lifting rod capable of moving up and down and being static. By using the test tube storage device, the upper parts of test tubes with different heights can be limited by utilizing the up-down movement of the limiting rings, so that the test tubes can be vertically placed, the test tubes are prevented from inclining and easily shaking, and the test tubes can be conveniently and orderly placed.

A method and system for Adaptive Diagnostics for the Efficient Prescription of Treatments (ADEPT), which efficiently diagnoses an idiopathic psychosis patient and improves treatment targeting for that patient. ADEPT can be divided into two versions that use different inputs: ADEPT for measuring clinical characteristics of a patient (ADEPT-CLIN) and ADEPT for measuring cognitive performance (ADEPT-COG). The ADEPT systems identify Biotypes by accessing the database to match the characteristics of the patient to similar patients in that database. For ADEPT-CLIN, the patient's Biotype is based on similarity to existing patients on clinical characteristics. For ADEPT-COG, the patient's Biotype is based on similarity to existing patients on clinical, behavioral, motor inhibition, and cognitive features. Biotypes are used to implement targeted treatment for an individual patient. ADEPT is continuously re-trained using new cases and novel laboratory tests to improve precision of Biotypes diagnosis and the accuracy of selecting treatments for individual patients.

The present invention belongs to the technical field of natural gas hydrate development and monitoring. Disclosed is a joint inversion method for multi-field coupling parameters of a submarine muddy silt hydrate reservoir and based on multi-source monitoring data. The method comprises: acquiring logging data and laboratory test data, and determining the mud content and pore water salinity of a reservoir therefrom; determining a natural gas phase state of the reservoir by means of the data and a natural gas hydrate phase equilibrium model; constructing a resistivity model and an acoustic wave velocity model which take the influence of the mud content into consideration, adding a physical constraint, using a differential optimization algorithm to invert the porosity and hydrate saturation of the reservoir, and then verifying the reliability of the models by means of forward modeling; and on the basis of an inversion result, using a thermodynamic model, a permeability model and a mechanical strength model, which take the mud content into consideration, to perform forward modeling, so as to acquire multi-field coupling parameters of the reservoir. The method is mainly used for parameter inversion of submarine muddy silt hydrate reservoirs, and can improve the parameter inversion accuracy.

This invention relates to an optimized processing method for monitoring surrounding rock displacement during the excavation of a cavern complex. The method includes: determining the rock mass strength parameters and establishing a three-dimensional geological model by combining topographic information of the target area and on-site geological survey data; calculating the corresponding three-dimensional geostress field; determining the approximate range of surrounding rock strength and deformation parameters according to specifications and rock mechanics handbooks based on the surrounding rock category determined by surrounding rock classification and surrounding rock parameters obtained from laboratory tests; calculating the relative deformation of different measurement sections and inverting the optimized surrounding rock parameters using the relative deformation of different measurement sections monitored by multi-point displacement gauges; and verifying the reliability of the inverted surrounding rock parameters by comparing them with the measured relative deformation characteristics of the surrounding rock. The beneficial effects of this invention are: by optimizing the surrounding rock parameters to obtain the excavation response characteristics of the surrounding rock, the on-site monitoring data is corrected and analyzed to correct the multi-point displacement gauge monitoring data, making the monitoring data obtained by the multi-point displacement gauges more accurate.

The invention relates to the technical field of catalysts, in particular to a hydrogen evolution reaction electrode alternating working condition simulation device based on a multi-coupling effect, which comprises a substrate, an electrolyte flow channel is arranged in the substrate, and the electrolyte flow channel is provided with at least one flow speed regulation and control section; the flow regulating part is assembled on the flow speed regulating and controlling section and is used for dynamically regulating the flow speed of the electrolyte passing through the electrolyte flow channel; the deformation bearing frame is arranged on the flow speed regulation and control section, and a flexible electrode plate is detachably mounted on the deformation bearing frame; the technical problem that a traditional laboratory testing device cannot simulate the multi-physical field dynamic coupling effect of flow velocity physical scouring and bubble microjet impact mode periodical alternation caused by flow velocity change in an industrial electrolysis working condition, so that the falling-off service performance of the electrode plate catalyst nanostructure is evaluated is solved.

The invention provides a method for dynamically evaluating the long-term stability of a waste slag yard based on day-ground-room conjoint analysis, and belongs to the field of waste slag yard stability evaluation. The method comprises the following steps: firstly, performing double integration through PS-InSAR deformation monitoring in combination with elevation data before and after construction to obtain volume variation and soil mass density of the waste slag field in different periods, and solving the problem that the soil mass density changes along with time; then, the water content and the compaction degree of the soil body of the waste slag field in different periods are obtained through combination of field monitoring and indoor testing, and the problem that the compaction degree changes along with time is solved. Secondly, building a function relation among the physical property parameters of the soil body, the moisture content and the compaction degree based on indoor testing, and solving the problem that the physical property parameters of the soil body change along with the environment; and finally, constructing a function relation among the stability safety coefficient, the moisture content and the compaction degree based on a strength reduction method, solving the problem that the existing evaluation cannot respond to the change of field conditions in time, and providing a reliable evaluation method for the dynamic evaluation of the long-term stability of the waste slag field.

The invention relates to the technical field of electrical equipment testing, and particularly discloses a strain clamp electrical contact performance on-line function testing system and method, and the method comprises the steps: obtaining a field operation data set containing line dynamic monitoring data, environment on-line monitoring data and clamp state monitoring data; carrying out preprocessing and time sequence alignment on the field operation data set, and extracting a line operation feature set containing high-frequency working condition features, extreme working condition features and weak link features; and inputting the line operation feature set into a preset parameter mapping model, and generating a test parameter packet and a multi-gradient working condition combination sequence. According to the method, a complete closed loop from a real power grid site to laboratory physical test and then back feeding to actual operation and maintenance is constructed, so that the problem that laboratory test is separated from site complex working conditions is effectively solved.

This invention relates to the field of operation management technology, specifically to a closed-loop management system and method for concentrate blending operations. The system includes a sampling parameter acquisition module that generates a sampling verification parameter set, a depth consistency verification module that determines the dry basis weight boundary and binds it to laboratory test values, an impurity limit back-calculation module that calculates the remaining impurity limit and theoretical configuration quantity, a batch share locking module that locks the planned feed weight, and a weight range verification module that generates a closed-loop record based on the belt scale difference. In this invention, by incorporating dry basis weight, theoretical weight range, impurity limit, planned weight, and measured weight into the same closed-loop verification chain, the correspondence between sampling depth and laboratory data becomes more stable. Batch feeds exceeding impurity limits are constrained by contract limits, and on-site feeds only form closed-loop records after matching the planned weight. This reduces the delayed exposure of deviations, minimizes discrepancies in ledger records, and improves the certainty of blending correction basis and operational traceability.

This invention discloses a method and system for characterizing the stress field transfer direction in coal seams, relating to the field of coal seam safety monitoring technology. The method includes: establishing a quantitative coupling relationship between stress and wave velocity in coal and rock samples through laboratory testing; inverting the three-dimensional wave velocity field of the working face based on microseismic monitoring data, and obtaining the corresponding three-dimensional stress field distribution according to the coupling relationship; calculating the transfer vector of the anomaly area by tracking the temporal changes of the centroid of the stress anomaly area, and obtaining the stress gradient change vector by calculating the temporal changes of the stress field spatial gradient; performing consistency analysis on the transfer vector and the stress gradient change vector, and determining the corresponding direction as the dominant transfer direction of the stress field in the coal seam region when the consistency meets preset conditions. This invention, through dual-path dynamic analysis and cross-validation, can characterize the transfer direction of the coal seam stress field at a regional scale, providing a new technical approach for the monitoring and early warning of coal and rock dynamic disasters.