209 results about "Laboratory test" patented technology

The invention discloses a CKD special disease database construction method and system, and relates to the technical field of database construction, and the method comprises the steps: obtaining and predicating a multi-source heterogeneous atomic fact; constructing and fusing three sets of ontology models; verifying and deducing facts in a layered manner according to a multi-layer priority rule base; calling a constraint completion engine to generate inference facts for missing or conflicting fields; streaming follow-up visit, test and intervention logs into events and triggering graded alarms; an anti-fact intervention scene is simulated for the high-risk patient, and pilot groups are screened; dynamically evaluating and adjusting the rule priority; and based on a causal chain and an event mode, clustering patients and constructing a generality map, and recording a whole-process operation chain. Semantic management is realized through fusion of ontology, anti-fact intervention simulation is performed on high-risk patients by means of multi-layer rule verification, and database semantic consistency, reasoning depth, decision support and traceability are improved through causal atlas driven clustering.

The invention provides a sepsis early-stage risk prediction system, and relates to the technical field of sepsis risk prediction, the sepsis early-stage risk prediction system comprises a data acquisition module, a data preprocessing module, a risk assessment module, a result display module and a data management module, and the data acquisition module is used for acquiring vital signs, laboratory data and medical record data through vital sign acquisition, laboratory data acquisition and medical record data acquisition; the data is collected from three aspects; the data preprocessing module can process the data and find features related to the early stage of sepsis from the collected data; the risk assessment module firstly scores, and determines whether machine prediction or expert prediction is performed according to the score level; and the result display module displays the evaluation result through visual display, and generates a report according to patient demands. The system has the advantages that multi-dimensional data such as vital signs of a patient, laboratory examination and electronic medical records are comprehensively collected through the data acquisition module, data islands are broken, and a rich information basis is provided for accurate prediction.

The invention provides a cable fault arc temperature distribution calculation method based on multi-physics field coupling, and the method comprises the steps: building a cable fault arc simulation model; setting boundary conditions of multi-physics field coupling of an electric field equation, a magnetic field equation, a fluid heat transfer equation and a laminar flow equation for the cable fault arc simulation model; the arc temperature distribution is obtained by controlling the voltage and current parameters of the arc simulation loop, the distance between the copper core conductor and the grounding electrode and the air velocity. A cable fault arc simulation model is built, high risks of electric shock and explosion in laboratory tests are avoided, the loss cost of laboratory test equipment is reduced, the defect that only the peripheral temperature of the arc can be measured in the laboratory tests is overcome through a multi-physics field coupling equation, and global continuous arc temperature data are obtained. And a theoretical basis is provided for power system protection design, cable laying optimization, fire-fighting strategy formulation and cable fire risk assessment.

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.

System and methods for modeling, planning, and monitoring soil compaction. Laboratory test and historical data establish an historical baseline. A predictive baseline is computed from the historical baseline and a predictive site model. During the soil compaction of a calibration area, a predictive compaction model is computed from providing compaction scores obtained from standard tests, loose measurement maps and a compacted vibration map. During the soil compaction vibration data is used in conjunction with the predictive compaction to compute a compaction value. Upon detecting that the compaction value is within the target compaction threshold, an operator is notified.

The invention provides a rock-soil body stability analysis method and system based on strain energy density, and relates to the technical field of rock-soil body stability analys.The rock-soil body stability analysis method comprises the steps that rock-soil body parameters of field investigation and indoor tests are obtained; combining the rock-soil body parameters, the generalized Hooke law and the Mohr-Coulomb yield criterion to obtain a strain tensor expression, and performing stress tensor calculation to obtain an elastic stress tensor, a strain tensor and a plastic strain tensor of the rock-soil body; respectively carrying out integral calculation to obtain the total strain energy density increment of the rock-soil body in different stress states; and performing stability analysis based on the total strain energy density increment of the rock-soil body in different stress states to obtain a stability abnormal area of the rock-soil body. According to the method, the elasticity and plastic deformation characteristics of the rock-soil body are comprehensively considered, and the accuracy of stability evaluation is improved.

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 relates to the field of medical artificial intelligence, and discloses a CRRT data omnibearing acquisition and optimization processing system based on artificial intelligence, and the system comprises an acquisition calibration module which is used for acquiring CRRT equipment parameters, physiological signals and laboratory inspection data, forming multi-source data, and carrying out the time alignment and space calibration of the multi-source data, and obtaining calibration data; the modeling estimation module is used for constructing a space-time dynamic model for substance transportation and biochemical reaction in the CRRT treatment process based on a random partial differential equation, estimating a state variable in combination with calibration data, and generating high-dimensional state data; and the fusion reasoning module is used for carrying out dimensionality reduction and adversarial denoising processing on the high-dimensional state data. Through multi-source acquisition and space-time calibration of CRRT equipment parameters, physiological signals and laboratory data, a treatment data basis is constructed, space-time dynamics modeling of substance transportation and biochemical reaction is performed based on a random partial differential equation, and dynamic description of a treatment process is realized.

There is provided a method of classifying cancer, comprising: feeding an image of a histology slide of a cancer into a machine learning (ML) model, obtaining a score indicative of a probability of a positive status or a negative status of a marker from the ML model, accessing an indication of the positive status or the negative status of the marker obtained by a laboratory test, computing a threshold for determining whether the score generated by the ML model is discordant with respect to the indication according to the laboratory test, in response to the score being greater than a threshold and the negative status of the marker according to the laboratory test, classifying the cancer as a first category, and in response to the score being less than the threshold and the positive status of the marker according to the laboratory test, classifying the cancer as a second category.

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.

The invention discloses a method for actually measuring and checking network-related characteristic parameters of a new energy and energy storage power station, and the method comprises the steps: S1, building a semi-physical simulation test system, and carrying out the hardware-in-the-loop test of a to-be-tested control system, so as to obtain dynamic characteristic data; s2, performing parameter identification based on the dynamic characteristic data to establish a single-machine model; s3, performing a simulation test on the single-machine model, and if a transient error between simulation data and laboratory test data is within an allowable range, determining that the single-machine model passes verification; s4, identifying and verifying model parameters of the whole station level controller by referring to the steps S1 to S3, aggregating single machine models into a station level model, and acquiring whole station simulation data; s5, downloading the station-level model parameters and the control software to field equipment to obtain field actual measurement data; s6, if the deviation between the field actual measurement data and the simulation data meets the preset standard, it is judged that checking of the network-related characteristic parameters is completed. The method has the advantages of improving the parameter checking efficiency and the like.

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.

The invention relates to a sepsis detection system which evaluates the sepsis risk of a patient in real time by integrating clinical signs, various physiological parameters, laboratory detection data and biomarkers and utilizing an intelligent algorithm. The system comprises a data acquisition module, a data transmission module, a data processing module, a user display module and an alarm module. The data acquisition module monitors physiological parameters such as consciousness, body temperature, heart rate, respiratory rate, finger pulse oxygen saturation, invasive blood pressure, urine volume and skin piebald in real time, and biomarker data such as leukocyte count, neutrophile granulocyte, neutrophile granulocyte number, C-reactive protein, procalcitonin and interleukin-6 are obtained through blood detection. And the data processing module performs sepsis risk assessment by integrating the biomarkers and the physiological parameters in combination with a machine learning model, and outputs a risk level. The user display module displays the evaluation result in real time and provides treatment suggestions, and the alarm module triggers an alarm under the high-risk condition to ensure timely intervention.

A method and system for diagnosing an idiopathic psychosis patient and improving treatment targeting for that patient. Cognitive performance is measured on the patient. Pro- and anti-saccade signals are measured on the patient. Motor inhibition is measured on the patient. EEG signals are measured on the patient. Principal components analysis is applied to the measured signals and scales to determine the most significant features. The patient is evaluating on at least 11 dimensions of neuro-cognitive performance. A trained numerical taxonomy approach is used to classify the patient as belonging to a B-SNP psychosis Biotype and the patient's condition is categorized based on the classified Biotype. The B-SNIP psychosis Biotype is used to implement targeted treatment for an individual patient. The diagnostic algorithm is continuously re-trained using new cases and new laboratory tests to improve precision of B-SNIP psychosis Biotypes diagnosis and the accuracy of selecting treatments for individual patients.

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 provides a tested object turntable device for an electromagnetic compatibility laboratory. The tested object turntable device comprises a base, a main shaft, a turntable, a fixed disc and a control disc, the main shaft is rotatably connected to the base, the rotating disc is fixedly arranged at the top end of the main shaft and can rotate along with rotation of the main shaft, the fixed disc is arranged below the rotating disc and fixedly connected to the outer surface of the main shaft in a sleeving mode, the control disc is slidably connected to the outer surface of the main shaft in a sleeving mode and located between the rotating disc and the fixed disc, and a plurality of inserting holes are formed in the upper disc face of the fixed disc. A plurality of inserting rods are correspondingly arranged on the lower disc face of the control disc, when the control disc slides downwards along the main shaft, the inserting rods can be driven to be inserted into the inserting holes, the lower portion of the fixing disc is sleeved with a synchronous frame in a sliding mode, the upper end of the synchronous frame is fixedly connected with the control disc, a power telescopic rod is installed on the bottom face of the synchronous frame, and the lower end of the power telescopic rod is installed on the base. According to the device, the inserted link is arranged on the control disc and can be inserted into the insertion hole in the fixed disc, so that the main shaft cannot be deflected when the main shaft is fixed.

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.

Systems, methods, computer medium, and program products are disclosed for maintaining data integrity in a computerized health analysis platform. For example, a method includes (i) filtering existing health care data by first determining or extracting a first subset of data of a dataset such that the first subset is concentrated in a common health-related attribute (s), (ii) generating a reference measurement range from the extracted first subset, and (iii) determining measurement units for laboratory test data lacking measurement units or exhibiting mismarking errors based on the reference measurement range. For example, a first subset of the data sets represents measurements of the physiological parameter (s) of the entity. For example, the laboratory test data differs from the first subset or existing healthcare data used to determine the first subset. After the measurement unit is determined, a data structure representing the measurement unit is generated and stored.

A patient health management platform accesses a metabolic profile for a patient and biosignals recorded for the patient during a current time period comprising sensor data and / or lab test data collected for the patient. The platform receives patient data recorded during the current time period comprising food items consumed, medications taken, and symptoms experienced by the patient. The platform implements a machine-learned metabolic model to determine a metabolic state of the patient at a conclusion of the current time period by comparing a true representation of the metabolic state and a prediction of the metabolic state. The true representation and the prediction are determined based on the recorded biosignals and the recorded patient data, respectively. The platform generates a patient-specific treatment recommendation outlining instructions for the patient to improve their metabolic state and provides the patient-specific treatment recommendation to the patient device for display to the patient.

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 utility model relates to the technical field of plastic trays, and discloses a test tube plastic tray for a laboratory, which comprises a supporting plate, two groups of fixing plates are fixedly inserted into the inner side surface of the supporting plate, and a sliding groove is formed in the top of the inner side surface of the supporting plate. According to the test tube plastic tray for the laboratory, a transmission rod can be driven by a hand-cranking wheel to rotate clockwise or anticlockwise along the interiors of an adjusting plate and a connecting ring at the same time, and meanwhile, due to threaded connection of an internal thread and an external thread, the transmission rod can be matched with a limiting piece and a limiting ring for use; and an adjusting plate and a buffer layer II are driven to move towards the rear side or the front side until the inner walls of the buffer layer I and the buffer layer II are tightly attached to the surfaces of the test tubes, so that the device realizes an adjustable function, workers can conveniently and effectively limit and fix the test tubes with different outer diameters, the applicability of the device is greatly improved, and the practicability is high. And the economic cost expenditure of a laboratory is indirectly reduced.

The utility model provides a test tube storage rack, which belongs to the technical field of biochemical experiment test tube racks and comprises a support component, the support component comprises a base, a plurality of support frames are linearly arranged on the base at equal intervals, a top plate and a plurality of placing holes in the top plate are arranged at the top end of each support frame, and the placing holes are linearly arranged at equal intervals. A plurality of placement holes are formed in the storage rack, a test tube body is arranged in each placement hole, a height-adjustable supporting plate is arranged in each supporting frame, a plurality of limiting grooves are formed in each supporting plate, and the bottoms of the corresponding test tube bodies are supported by the limiting grooves. The heights of the top ends of the test tubes are prevented from being consistent, the distance between the top ends of the adjacent test tubes is increased, workers can conveniently take the test tubes by wearing gloves, and the risk that the test tubes fall accidentally due to hand slip is avoided.

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.