1204 results about "Environmental simulation" patented technology

The invention provides an intelligent maintenance method and system for the wall of a squat silo, and the method comprises the steps: applying controllable environment parameters to a concrete test block group with the same proportion through an environment simulation device, and obtaining test block deformation data, moisture content data and stress data; performing time sequence correlation mapping on the test block deformation data, the moisture content data and the stress data and environmental parameters to obtain a maintenance decision data set; acquiring a real-time environment vector through a sensor network deployed on the site of the squat silo; inputting the real-time environment vector into a maintenance decision model, and generating a spraying control instruction by matching the maintenance decision data set; and driving a spraying system to execute operation according to the spraying control instruction, and dynamically correcting spraying parameters based on moisture monitoring data. According to the method, through data-driven intelligent maintenance decision and dynamic closed-loop control, the crack risk of the wall of the squat silo is remarkably reduced, meanwhile, water resource consumption is reduced, and double breakthrough of maintenance quality and resource efficiency is achieved.

The invention discloses a water quality prediction method based on machine learning and an SWAT model, and belongs to the technical field of water environment simulation and water quality early warning. The method comprises the steps that S1, hydrology, water quality, meteorology, land utilization types, pollution sources and spatial elevation multi-temporal data are collected from multiple channels in a drainage basin, and noise reduction, normalization and missing value filling preprocessing methods are adopted for original data; s2, performing sensitivity analysis on the nonlinear relationship between the SWAT model parameters and the output by adopting SVR, and screening out key parameters with remarkable influence; s3, on the basis of the water quality monitoring data, constructing a water quality time sequence prediction model by adopting an LSTM model; and S4, constructing a self-learning mechanism based on the LSTM and the SVR model, and retraining the model by adjusting a learning time window and regularly utilizing latest data. The method is excellent in the aspects of model efficiency, prediction precision and application adaptability, and has remarkable engineering application value and popularization potential.

The invention discloses an intelligent ship steering capability multi-dimensional evaluation system based on virtual-real fusion, and relates to the technical field of intelligent ships and virtual-real fusion. The system comprises a visual platform and an integration module, wherein a simulation environment is constructed through a virtual-real data interaction engine, and ship behaviors under different sea conditions are simulated; a virtual-real data bidirectional calibration module is used for dynamically correcting simulation parameters, and it is ensured that the simulation parameters are consistent with real ship data; based on the multi-dimensional evaluation index system, the intelligent evaluation decision module comprehensively scores the steering performance; and the behavior guiding module outputs an evaluation report and a risk avoidance suggestion. According to the invention, part of real ship tests can be replaced, extreme working conditions can be simulated, the evaluation precision is guaranteed, the test period is remarkably shortened, the cost is reduced, simulation parameters are dynamically corrected through a bidirectional calibration mechanism, comprehensive and multi-dimensional quantitative evaluation on steering capability in a scene close to a real scene is realized, and a credible evaluation report is output.

The invention discloses an electronic function test system of a high-voltage PTC (Positive Temperature Coefficient) electric heater, which relates to the technical field of PTC electric heaters and is characterized in that extreme temperature, humidity and voltage disturbance data are acquired in a programmable multi-dimensional environment simulation cabin, and the temperature deviation of the high-voltage PTC electric heater is predicted by using a multi-channel fusion and compensation model; according to the method, the high-voltage PTC electric heater is used as a power source, the output power is adjusted in a real-time feedforward and feedback mode in the self-adaptive controller, finally, through dynamic calibration and closed-loop verification, a model and gain parameters are optimized in multiple scenes, a complete system which can deal with large environmental changes and is high in temperature control precision is formed, the stability and safety of the high-voltage PTC electric heater under the severe working condition are remarkably improved, and the high-voltage PTC electric heater is suitable for being used in the field of electric heaters. And overshoot and lag are reduced, the energy utilization efficiency is improved, the system is suitable for industrial heating, vehicle warm air and other scenes needing high reliability and quick response, and the maintenance cost can be effectively reduced.

The invention discloses a multi-dimensional environment coupling aging test box and a self-adaptive control method thereof.The multi-dimensional environment coupling aging test box comprises a box body, a multi-dimensional environment coupling system and a self-adaptive control system.The box body is internally provided with a test cavity, the multi-dimensional environment coupling system is arranged in the test cavity, and the self-adaptive control system is arranged in the test cavity; and the multi-dimensional environment coupling system is connected with the adaptive control system. A multi-physics coupling environment is constructed by integrating four environment simulation modules of temperature and humidity, illumination, vibration and gas. The sensor group acquires environmental parameters (temperature and humidity, irradiance, acceleration and gas concentration) and state data of a test object in real time, and transmits the environmental parameters and the state data to the data processing unit. Based on a multi-physics field coupling model (such as finite element analysis or an empirical formula), the contribution degree of each environmental factor to material aging is calculated, a dynamic control instruction is generated, output parameters of each module are synchronously adjusted through an execution mechanism, and closed-loop control over environmental conditions is achieved.

The invention discloses a method for testing weather resistance of a material based on a low-temperature ice and snow environment, which belongs to the technical field of material testing, and comprises the following steps: generating a dynamic environment parameter set according to an environment simulation script, applying dynamically changing ice and snow loads and multiple physical and chemical environment stresses in a preset composite environment stress cabin, constructing a coupling environment field acting on the to-be-tested sample; and acquiring the state of the to-be-tested sample in the coupling environment field in real time, generating a multi-dimensional monitoring data set, performing comparative analysis on the multi-dimensional monitoring data set and a preset material aging characteristic template, generating material response data representing the current state of the to-be-tested sample, and constructing an environment parameter adjustment instruction set to regulate and control the coupling environment field in the composite environment stress cabin in real time. According to the method, a closed-loop feedback control strategy combining construction of a dynamic coupling environment field and real-time monitoring of material response is adopted, intelligent acceleration of the testing process can be achieved on the premise that the authenticity of a failure mechanism is guaranteed, and the testing efficiency and the accuracy of a result are remarkably improved.

The invention relates to the technical field of ice and snow environment simulation, and discloses an ice and snow environment simulation test method based on multi-field coupling. The method comprises the following steps: collecting a dynamic multi-field data set in a target ice and snow environment, wherein the dynamic multi-field data set covers a periodic temperature change sequence, a relative humidity fluctuation sequence and surface ice layer thickness real-time monitoring data; carrying out multi-physics field coupling numerical simulation processing to generate coupling field distribution characteristics including an axial heat conduction coefficient gradient, a radial fluid velocity cumulant and a tangential ice layer stress fluctuation coefficient; calling a pre-configured ice and snow growth simulation model to execute ice layer evolution analysis to obtain an ice layer growth rate prediction value and a high-risk icing area position identifier; performing environment dynamic compensation correction on the ice layer growth rate prediction value by using the correlation characteristic of the relative humidity fluctuation sequence and the material heat capacity attribute; based on the high-risk icing area position identification, scientific guidance is provided for related protection in the ice and snow environment.

The invention belongs to the technical field of agronomy experiment devices, and particularly relates to a mulch-mulched soil environment simulation device which comprises a closed space, an air inlet and an air outlet. The mulching film sample is arranged in the closed space; the top of the soil simulation assembly is in contact with the bottom of the mulching film sample, and the soil simulation assembly is used for simulating a soil environment covered by the bottom of the mulching film sample; the natural environment simulation assembly is communicated with the closed space, the natural environment simulation assembly is used for simulating environmental conditions of the top of the mulching film sample, and the environmental conditions comprise temperature and humidity parameters, illumination parameters, rainfall parameters and wind speed parameters. According to the invention, researchers can accurately and controllably carry out experiments indoors, simulate soil states under different mulching film materials and environmental conditions, and deeply understand the influence of mulching film mulching on key parameters such as soil moisture, temperature and gas exchange. Scientific basis is provided for agricultural production and crop management, and sustainable development of agriculture is promoted.

The invention discloses a fatigue test method for a cabin structural member of an offshore wind power generator. A test piece is subjected to surface treatment, a multi-sensor array is arranged, the test piece is placed in a combined system of a multi-axis dynamic loading unit and a collaborative environment simulation cabin, an intelligent control and analysis platform synchronously applies a multi-axis alternating load, salt spray corrosion and a circulating temperature and humidity environment, and real marine service conditions are simulated; the state of a test piece is evaluated in real time based on criteria such as a strain concentration coefficient and acoustic emission energy, a strengthening test is started for potential damage risks, a load strategy is adjusted to track crack propagation when microcracks are monitored, and after the test is ended, a fatigue life prediction model is established or calibrated by combining failure test piece analysis data. And outputting a life evaluation result and a structure improvement suggestion. Through the multi-factor collaborative simulation and self-adaptive control technology, the authenticity and efficiency of the test are improved, and technical support is provided for design optimization and reliability guarantee of offshore wind power cabin structural parts.

The invention relates to a test system and method for simulating different working conditions of a relay, and the system is characterized in that the system comprises an environment simulation region and a dynamic load simulation region, and the dynamic load simulation region comprises an electrical simulation region, a data collection region, and a data processing and control module; the environment simulation area is used for simulating working environment parameters of the relay, including temperature, humidity and mechanical stress; the environment simulation area is provided with a shell, and heating devices located on the top, the bottom and the side face of the shell are arranged in the shell and used for accurately adjusting the internal temperature. A ventilation opening is formed for adjusting air circulation; a temperature sensor and a humidity sensor are installed and used for monitoring environment temperature and humidity parameters in real time. According to the test system and the test method for simulating different working conditions of the relay, various environmental stresses can be synchronously applied, load changes can be dynamically simulated, data fusion analysis can be realized, and the accuracy of reliability verification of the relay can be improved.

The invention belongs to the technical field of wind tunnel simulation, and particularly relates to a multi-physics field coupling environment simulation device, which comprises a base, an upper surface of the base is fixedly connected with a simulation cabin, one side wall of the simulation cabin is provided with a plurality of horizontal flow fans, a plurality of rotating flow fans arranged around the simulation cabin by a circle are mounted on the upper surface of the base, and a top portion of the simulation cabin is provided with a plurality of vertical flow fans. The multi-physics field coupling environment simulation device of the invention is used for simulating complex environments of three-dimensional multi-physics field coupling under different weathers, which improves the diversity of wind tunnel tests.

The invention provides an electric energy meter calibration method and device and an electric energy meter. Belongs to the technical field of intelligent metering and power equipment detection. The method comprises the steps of performing operation scene simulation area division on an electric energy meter, generating simulation operation scene data containing composite environment stress according to carried equipment and product specifications, performing dynamic calibration equipment deployment, and constructing a dynamic calibration layout network integrating various environment simulation equipment; a real operation scene is simulated by integrating various composite environmental stresses, so that the metering reliability of the electric energy meter in various severe environments is improved, the electric energy meter can accurately adapt to different regional environments, and the regional adaptability is enhanced. The self-adaptive compensation parameters are dynamically generated, metering errors caused by environment changes are reduced, and power transaction disputes caused by inaccurate calibration are effectively reduced.

The invention discloses a multi-axis multi-field coupling fatigue test device, and belongs to the technical field of material testing. The device comprises a rack, a multi-axis loading unit, an environment simulation unit, a dynamic sealing interface and a cooperative control system. The core of the device is that the test sample can simultaneously bear the coupling effect of multi-axis mechanical stress (pulling, pressing and twisting) and various environmental fields (such as high and low temperatures, corrosive media, illumination and electric fields) through a highly integrated design; and the dynamic sealing problem of the actuator rod in the environment box is solved through an innovative dynamic sealing interface (such as labyrinth-magnetofluid composite sealing). According to the invention, accurate linkage control of multiple channels is realized through the cooperative control system, the service environment of key parts under actual complex working conditions can be truly simulated, and a reliable test platform is provided for failure analysis and life prediction of products under multi-field coupling.

The invention discloses a deep sea environment biaxial loading in-situ test system and method for industrial CT, the test system comprises a biaxial test bench, a deep sea environment box, a rotary table, a simulation seawater loop and an X-ray imaging unit, the deep sea environment box is arranged at the central position of the biaxial test bench, the biaxial test bench is arranged on the rotary table, the rotary table is arranged on the rotary table, and the X-ray imaging unit is arranged on the rotary table. And the X-ray imaging unit directly faces the biaxial test bench. In order to solve the problems that no effective means for simulating the complex stress and corrosion coupling environment of the deep sea environment exists at present, and key data such as chemical products in the corrosion process of marine materials under the complex stress cannot be obtained in situ, the invention provides a coupling biaxial in-situ loading device and a seawater corrosion environment simulation box. Simulation of a deep-sea complex stress state and a seawater corrosion environment is realized, a chemical product evolution rule in a stress corrosion process is obtained in situ based on a spectrum measuring instrument, and a technical foundation is laid for clarification of a corrosion failure mechanism of a material under a real deep-sea service condition.

The invention relates to the technical field of fluid mechanics experiments and wind environment simulation, in particular to an integrated turbulent flow guiding wind speed distribution control wind wall and a control method.The wind wall comprises a mounting frame and a two-dimensional cross turbulent flow module, the mounting frame is of a rectangular frame structure, and the two-dimensional cross turbulent flow module is arranged on the mounting frame; the two-dimensional cross turbulent flow module comprises a plurality of turbulent flow shafts which are arranged vertically and horizontally, a plurality of turbulent flow blades are arranged on the turbulent flow shafts which are arranged vertically and horizontally, and air gaps used for air outlet are formed between the vertically-arranged turbulent flow blades and the horizontally-arranged turbulent flow blades. A fan is arranged right behind the position where each longitudinally-arranged turbulent flow shaft intersects with each transversely-arranged turbulent flow shaft. The control method is applied to the wind wall, and a wind speed gradient and turbulence gradient superposed complex wind field model is constructed by regulating and controlling the rotating speed of the fan and the rotating speed of the turbulence shaft and regulating the wind speed and turbulence in a partitioned and differentiated manner.

The invention discloses a shale gas well fracturing parameter optimization design method and system based on a depth Q network, and relates to the technical field of shale gas development, and the method comprises the following steps: S1, collecting geological parameters, fracturing construction parameters and productivity data of a shale gas well in advance; s2, constructing an agent model and performing environment simulation; and S3, constructing a DQN model. According to the method, a LightGBM algorithm is adopted to construct a data-driven proxy model to simulate a real fracturing environment, an optimization model is constructed based on a deep Q network (DQN), state, action, reward and epsilon-greedy strategies are defined, and technologies such as a variable step size search mechanism, experience playback and target network soft update are combined, so that the real fracturing environment is simulated. The problems that a traditional optimization method is weak in local search capability and low in convergence speed are effectively solved, multivariable synchronous optimization of the unit perforation length proppant dosage and the fracturing fluid dosage is achieved, and a global optimal parameter combination can be rapidly explored.

The invention discloses a multifunctional geotechnical mechanical testing system for controlling temperature, humidity and salinity in an extreme environment, and relates to the technical field of ocean geotechnical engineering and geotechnical engineering. The system integrates a high-precision temperature and humidity and salinity control system, can accurately simulate the influence of complex environments such as extreme temperature and humidity, salt spray corrosion and the like on the mechanical properties of geotechnical materials, supports a direct shear test, a pull-out test, a soil body single-particle crushing test and a geosynthetic material stretching and puncturing test, can distinguish static, dynamic and long-term creep test modes, and can be used for testing the mechanical properties of the geotechnical materials. Comprising creep mechanical property testing under cyclic direct shear and continuous load. A visual monitoring assembly is additionally arranged, so that the microscopic deformation and damage process of the sample can be recorded in real time. Through multifunctional integration, temperature, humidity and salinity joint control, visual monitoring and dynamic and static coupling test devices, the technical bottlenecks of single function, environment simulation limitation and microcosmic observation deficiency of traditional equipment are solved, and high engineering application value and popularization potential are achieved.

The invention relates to the field of automobile electronic testing technology and equipment, and discloses a vehicle-mounted camera imaging quality testing method and device suitable for a rain and fog scene, and the method comprises the steps: installing a to-be-tested camera module in a rain and fog environment cabin, setting the spectrum and illumination of a top natural illumination simulation system, and simulating the illumination at different time periods; selecting a test target plate in the darkroom; starting an automatic centering module to align the optical axis with the standard plate reference; rain and fog parameters are set through the environment control host, the rain and fog supply system is started to simulate different levels of rain and fog environments, and the raindrop particle size, concentration, dripping speed, fog visibility and fogdrop particle size are dynamically regulated and controlled; shooting a target plate graph card, extracting characteristic parameters by an image analysis module, performing quantitative analysis, and generating an evaluation report, so as to solve the technical problem of singleness of rain and fog scene environment simulation in the prior art.

The invention discloses a test verification platform and a test verification method for a motion compensation gangway ladder of an offshore wind power operation and maintenance ship. The platform comprises a system calculation and control center, an environment simulation vibration platform, an active motion compensation execution mechanism, a high-precision sensing and sensing module, a multi-channel data acquisition and storage system, an offshore wind turbine target platform module and an optical motion capture module. The platform reproduces six-degree-of-freedom motion of the operation and maintenance ship through integrated cooperation and high fidelity, simulates active compensation of a gangway ladder and dynamic characteristics of a hydraulic system, and accurately measures key parameters such as poses, forces / torques and the like by using multiple sensors and an optical capture technology. The method comprises the steps of motion instruction synthesis, platform motion reproduction, compensation action simulation, data synchronous acquisition and performance evaluation. According to the invention, high-precision land simulation verification of ship-gangway ladder-fan dynamic coupling is realized, the problems of high cost, high risk and poor repeatability of offshore actual measurement are effectively solved, and a reliable and efficient solution is provided for performance verification of a motion compensation system.

The invention relates to a hierarchical intention-based intelligent decision-making method and device for cooperative search and rescue of multiple unmanned aerial vehicles. The method comprises the steps of obtaining an environment simulation diagram; constructing a multi-unmanned aerial vehicle cooperative search and rescue model; performing feature extraction on a search and rescue target and an obstacle through a multi-unmanned aerial vehicle cooperative search and rescue model to obtain a target position feature and an obstacle position feature; performing information gain grid division based on the environment simulation graph, and determining a local information gain field of the proxy unmanned aerial vehicle; according to the local information gain field of the agent unmanned aerial vehicle, information of a neighborhood unmanned aerial vehicle is fused for calculation, and local gain information of the agent unmanned aerial vehicle is obtained; performing feature extraction on the local gain information to obtain local gain features; performing attention focusing on the target position feature, the obstacle position feature and the local gain feature, and outputting a multi-source aggregation feature; and processing the multi-source aggregation features through a multi-layer perceptron, and outputting normal distribution of actions of the unmanned aerial vehicle. The search and rescue efficiency of the unmanned aerial vehicle in the search and rescue scene can be improved.

The invention provides a water bank slope structural surface rock mass shear creep test system and method under a dry-wet cycle, relates to the technical field of rock mechanical property test, and aims to accurately reproduce a dry-wet cycle-stress coupling working condition of a rock mass structural surface under a complex environment. In the device, the direct shear apparatus comprises a loading frame and a loading and sliding device mounted on the frame, and provides a stable mechanical loading basis for a test; the shear box is used for accommodating a rock sample containing a structural surface, and the lower shear box adopts a lengthened design, so that the shear area in the whole shear process can be ensured to be constant; the dry-wet cycle environment simulation cabin is fixed in the loading frame, hermetically wraps the shear box and is integrated with a water soaking subsystem and a drying subsystem, the water soaking subsystem can adjust the water level height and water pressure in the simulation cabin, and the drying subsystem can dry a rock sample, can reproduce the sun illumination radiation condition and is matched with the water soaking subsystem to realize periodic dry-wet cycle; and the coupling effect of dry-wet cycle and mechanical loading is realized.

The invention provides a reinforcement learning training method and system based on a multi-target structured reward function, and the method comprises the steps: an environment simulation layer comprises a physical engine and a blood vessel environment simulator, and is used for simulating the physical movement and interaction of a catheter in a blood vessel, and providing an environment state for a reward calculation layer; the reward calculation layer performs calculation through a plurality of independent calculation modules and finally generates a comprehensive reward value through a composite reward aggregator; the reinforcement learning layer learns and optimizes a navigation strategy according to the comprehensive reward value; and the monitoring evaluation layer monitors each performance index in the training process and adaptively adjusts the weight of each reward component in the reward calculation layer according to the index change. According to the invention, a major breakthrough of reinforcement learning in medical robot training is realized. Compared with a traditional single reward function method, the intelligent agent which is really thought by experts can be trained, and the method not only pursues to quickly reach a target, but also knows how to safely and stably complete operation.

The invention discloses an automatic grading device for thermal shock cracks of a coating and an application method. Comprising a terahertz wave detection module, a laser ultrasonic excitation and detection module, a high-precision three-dimensional motion control platform, a multi-mode signal synchronous acquisition and processing unit, a crack intelligent grading evaluation unit, an environment simulation and temperature control unit, a protective shell and a human-computer interaction interface. The near-surface dielectric property change of the coating is represented through the terahertz technology, the deep mechanical property evolution is detected through the laser ultrasonic technology, the thermal shock service condition is reproduced in combination with a high-temperature environment simulation unit, and a multi-modal feature fusion algorithm and a physical model and machine learning collaborative inversion model are adopted to obtain the thermal shock resistance of the coating. And automatic quantitative evaluation and severity grading of the depth, density, length and network connectivity of the thermal shock cracks of the thermal barrier coating are realized. The problems that an existing single detection method is insensitive to vertical cracks, poor in high-temperature environment adaptability and low in manual evaluation efficiency are solved.

The invention relates to the technical field of tent performance detection, and discloses a tent complex environment simulation detection method, device and equipment and a storage medium, and the method comprises the steps: building a tent environment simulation detection task through extracting a tent environment simulation detection requirement set of each tent production task; querying different tent detection item parameter sets and tent detection durations in a plurality of tent detection item requirement combinations, and generating environment simulation detection associated information, and task allocation of each tent environment simulation detection task and tent detection item parameters of each environment simulation detection room are controlled by considering tent detection period requirements meeting the tent environment simulation detection requirement set and minimum environment adjustment cost determined by a tent detection item parameter set in environment simulation detection associated information. Therefore, while the overall efficiency and collaboration of tent manufacturing and detection links are improved, the energy consumption waste caused by test task switching in the tent detection link process is reduced as much as possible.

The invention particularly discloses a fractured rock mass grouting three-dimensional visualization test device and method, and relates to the technical field of rock mass engineering. The device comprises a test box body, a liquid inlet and outlet system, a monitoring system and a dynamic water environment simulation assembly, the test box body is made of a transparent acrylic material and is composed of an upper cover plate, a lower cover plate, a front cover plate, a rear cover plate, a baffle and two side cover plates, and a core experiment module is arranged in the test box body; the liquid inlet and outlet system is sequentially connected with the liquid holding device, the peristaltic pump, the valve, the Doppler flow velocity sensor and the test box body through rubber pipes; the monitoring system integrates an image collection unit and a data monitoring unit, an industrial-grade 3D camera and a binocular camera achieve visualization of the displacement process, and a fiber bragg grating pressure sensor synchronously collects fracture pressure data and transmits the fracture pressure data to a computer through a multifunctional data collection module. The device can be used for observing the displacement process of the slurry in the three-dimensional fracture in real time, synchronously monitoring key parameters, adapting to complex test working conditions and providing reliable support for grouting law research.

The invention relates to the technical field of intelligent agriculture and green plant protection, and discloses a corn tasseling period pest and disease damage green prevention and control system and method based on environment self-adaption, and the system comprises a prevention and control system which comprises an environment simulation unit, a pest and disease damage simulation database, a prediction analysis module, an early warning decision module and an acquisition unit. According to the method, a nonlinear mapping model of five-dimensional environment vectors (temperature, humidity, illumination intensity, rainfall and wind speed) and pest and disease damage activities is constructed, multiple regression analysis and Monte Carlo simulation are combined, pest and disease damage occurrence probability distribution under different climate scenes is generated, the limitation of a single threshold model is effectively overcome, and the method is suitable for popularization and application. The prediction reliability in a complex environment is obviously enhanced; according to the method, the disease and insect pest outbreak risk can be early warned 72 hours in advance, and the disaster loss is reduced by at least 30%; the dosage of chemical pesticides is reduced by more than 40% through a graded green prevention and control strategy, and the biodiversity of farmland and the ecological health of soil are protected.

The invention relates to the technical field of engineering material monitoring, and discloses an SHCC material full-life monitoring system for tunnel engineering and an evaluation method. According to the system, through cooperative work of an initial data acquisition module, a material state modeling module, a service environment simulation module, a damage evolution tracking module, a performance degradation evaluation module and a service life prediction module, the whole life cycle of a material is monitored. The method comprises the following steps: acquiring internal microstructure data of a material, constructing a dynamic response map, tracking a microcrack evolution path in real time by implanting a mark point in a simulated tunnel environment, and finally establishing a performance degradation evaluation matrix to complete life prediction. According to the system, internal correlation analysis from microscopic damage to macroscopic performance is realized through two core technologies of dynamic map construction and microcrack mark tracking, and the accuracy of life prediction and the reliability of engineering durability evaluation are improved.

The invention belongs to the technical field of mine geological exploration, and discloses a strip mine geological environment simulation early warning method and system based on a dynamic evolution model. The method comprises the following steps: constructing a dynamic simulation evolution model based on multi-source data information of an exposed mine in a preset range; based on the dynamic simulation evolution model, geological environment evolution simulation and estimation are carried out on an area in a preset range, an area where an abnormal geological environment possibly exists is identified, and monitoring equipment is arranged in the area where the abnormal geological environment possibly exists; the method comprises the following steps: collecting monitoring data in a preset range through monitoring equipment, and processing and analyzing the monitoring data to obtain a data analysis result; and constructing a geological environment data tracking model based on the data analysis result, carrying out dynamic tracking on the geological environment by using the geological environment data tracking model, and generating early warning information according to the tracking result. According to the scheme, the defects that a traditional exploration method is single in data and lagged in judgment can be effectively overcome, and the mining safety risk and monitoring cost of the strip mine are greatly reduced.

The utility model discloses a multifunctional horizontal wind tunnel for dust environment simulation, which comprises a rack, a high-speed wind measuring section, a flaring mixing section, a first uniform flow section and a second uniform flow section, the high-speed wind measuring section is connected with a small-diameter section of the flaring mixing section, a window door and a high-speed standard connecting port are arranged on the high-speed wind measuring section, and the first uniform flow section is connected with the second uniform flow section. The large-diameter end of the flaring mixing section is connected with the first flow uniformizing section, the first flow uniformizing section and the second flow uniformizing section are the same in diameter and round in cross section, a low-speed standard connecting port is formed in the top of the second flow uniformizing section, and a first sampling pipe mounting port and a second sampling pipe mounting port are formed in the bottom of the second flow uniformizing section. A temperature and humidity sensor is further mounted on the side wall of the second flow uniformizing section, and a side sampling calibration mounting opening is further formed in the side wall of the second flow uniformizing section; the side wall of the second uniform flow section is further provided with an operation window, the operation window is provided with an operation bin gate, the horizontal wind tunnel can meet the calibration of high and low wind speeds and dust concentration, and the adaptability is higher.

The invention discloses a multifunctional asphalt mixture rut test method which is implemented by using a device integrating loading and measurement, test piece supporting and temperature control drainage, environment simulation and optical measurement and a central control and data acquisition system. A test piece is arranged in the test piece groove, temperature control is realized through circulating a heat-conducting medium in the temperature-conducting cavity, different gradients are formed through the hoisting mechanism and the angle adjusting assembly, the test wheel is driven to perform one-way circulating loading along a closed track and snub at a preset moment, and rolling and sliding friction forces are synchronously collected; in the test process, rainfall is simulated by adopting the watering assembly, incoming water is recycled by the drainage tank, speckle images are acquired by the high-frequency industrial camera, and surface full-field displacement and strain are obtained through digital image correlation analysis. Through time registration and fusion of temperature, gradient, wheel speed, rainfall and friction-deformation data, rut deformation, skid resistance and apparent structure evolution laws of the asphalt mixture under multi-climate and multi-gradient conditions are obtained.