80 results about "Resistivity distribution" patented technology

The invention discloses a tower grounding grid multi-frequency composite wave electric field imaging and soil environment medium diagnosis method, which comprises the following steps of: generating a composite excitation signal through superposition of a low-frequency sine wave and a high-frequency CHIRP square wave, and collecting multi-dimensional data such as voltage / current response, soil temperature and humidity, electric field intensity and the like in combination with a distributed sensor array; separating signal features by using wavelet transform and extracting impedance information of a target frequency point; a multi-grid homotopy algorithm is adopted to realize grounding grid three-dimensional resistivity distribution reconstruction, corrosion spots and abnormal areas are marked, and high-precision positioning of underground conductors is completed through UWB radar or a capacitance detector; meanwhile, based on the information entropy maximization optimization frequency band combination, the grounding grid state is comprehensively evaluated in combination with a multi-parameter fusion model. The method has the non-contact patrol capability, the unmanned aerial vehicle carries equipment to scan the grounding grid, the detection efficiency and convenience are remarkably improved, and an efficient and accurate solution is provided for guaranteeing safe operation of the power grid.

The invention belongs to the technical field of semiconductor device performance testing, and particularly relates to a VCSEL epitaxial wafer resistivity distribution measuring method and system, and the method comprises the steps: constructing a three-dimensional discretization model representing an epitaxial wafer and an unknown parameter vector containing the vertical resistivity, the top transverse resistivity and the substrate leakage junction nonlinear resistance; a physical response function is defined, the vector is iterated through a discrete point fitting algorithm, so that the total residual error between the analog voltage difference output by the function and the actually measured voltage value under the cross-order-of-magnitude current is minimum, and the real vertical resistivity is extracted from the optimal parameter vector; and obtaining the vertical resistivity of each point on the two-dimensional test point grid so as to generate a distribution diagram and carry out anomaly detection. According to the invention, the problem of measurement distortion caused by the leakage defect of the substrate is solved, and the measurement accuracy of the vertical resistivity is improved.

The invention discloses a geotechnical engineering investigation measuring method, medium and equipment, and relates to the geotechnical engineering investigation related technical field, and the measuring method comprises the following steps: deploying a composite sensor network comprising a geological radar, a high density electrical method instrument, a micromotion array and an optical fiber strain sensing unit; electromagnetic characteristics, resistivity distribution, an excellent period and soil deformation are collected; eliminating industrial interference and biological activity non-target signals by using an adaptive threshold denoising algorithm based on wavelet packet decomposition; and a double-flow CNNLSTM hybrid network is constructed, and feature level fusion is realized through attention mechanism dynamic weight distribution. According to the invention, by deploying the composite sensor network, synchronous acquisition of electromagnetic characteristics, resistivity distribution, excellent period and soil deformation is realized. The precision and resolution of data acquisition are improved, a shallow underground medium interface can be detected, and a low-resistance abnormal zone can be identified.

The invention provides an early warning system and method for a radial artery compression hemostat based on multiple sensors, and belongs to the technical field of complication early warning. The method comprises the steps that S1, multiple types of physiological signals of a radial artery compression area are synchronously collected and subjected to digital processing; s2, discrete wavelet transform is carried out on the proximal end temperature and the telecentric end temperature; performing time domain analysis on the pulse signal, and extracting to obtain pulse amplitude; s3, constructing a temperature distribution model of the compression area based on the temperature difference signal; s4, the resistivity distribution of the compression area is reconstructed through the electrode impedance signal, and the errhysis position is positioned; s5, calculating a pressure change rate based on the pressure digital signal; calculating a pulse amplitude attenuation rate based on the pulse amplitude; and fusing the pressure change rate, the temperature gradient vector, the pulse amplitude attenuation rate and the errhysis index through a weighted summation formula to obtain a comprehensive risk value. According to the invention, through multiple types of sensors, the complication related parameter coverage rate is improved, and the complication early warning timeliness and accuracy are improved.

The invention relates to the technical field of data processing, discloses an earth and rockfill dam leakage positioning method based on joint inversion and data fusion, and aims to solve the problems of limitation and non-uniqueness of an existing single geophysical prospecting method in leakage hidden danger positioning. Converting the first apparent resistivity into a first apparent resistivity; second apparent resistivity distribution of the earth-rock dam is obtained through a high-density electrical method; acquiring electromagnetic wave velocity distribution by adopting a ground penetrating radar method, and converting the electromagnetic wave velocity distribution into third apparent resistivity; performing data standardization processing on the apparent resistivity to obtain standardized apparent resistivity data; performing dimension reduction fusion on the standardized apparent resistivity data corresponding to each apparent resistivity by adopting a principal component analysis method to obtain simulated apparent resistivity distribution; and determining the position of the leakage hidden danger channel in the earth-rock dam based on the pseudo-apparent resistivity distribution. The method improves objectivity, accuracy and reliability of leakage positioning, and is particularly suitable for danger removal and reinforcement of earth and rockfill dams.

The invention relates to the field of geophysical electromagnetic exploration, and provides a time-frequency electromagnetic data processing method, device, equipment and medium, and the method comprises the steps: calculating the similarity offset ratio of each measuring point on a measuring line, and determining a static displacement measuring point on the measuring line based on the similarity offset ratio; calculating equivalent apparent resistivity ratio of static displacement measurement point based on equivalent apparent resistivity of electric field component and corrected equivalent apparent resistivity of magnetic field component corresponding to adjacent measurement points on left and right sides of static displacement measurement point, and updating equivalence of electric field component of static displacement measurement point based on equivalent apparent resistivity ratio and corrected equivalent apparent resistivity of magnetic field component apparent resistivity; and completing static displacement correction in response to the static displacement measuring points on the measuring line, and performing inversion calculation on the magnetic field component amplitude and the electric field component amplitude of each measuring point on the measuring line to obtain resistivity distribution of a preset depth below the measuring line. The scheme disclosed by the invention is beneficial to improving the exploration and prediction precision of the time-frequency electromagnetic oil and gas target.

The invention provides a coal rock resistivity dynamic real-time testing device and method in a water injection process, the device comprises a measuring electrode, a resistivity measuring system, a data acquisition system and a data processing system, the measuring electrode is used for forming an electrode network and is in contact with coal rock, and the resistivity measuring system is used for measuring the resistivity of the coal rock. The resistivity measurement system is used for measuring the resistivity of the coal rock; the data acquisition system is used for acquiring resistivity data in real time; and the data processing system is used for carrying out inversion processing on the collected resistivity data to obtain a resistivity distribution image in the coal rock. According to the invention, continuous or quasi-continuous resistivity measurement is carried out on a water injection area by arranging a specific electrode array according to the change rule of the resistivity of the coal rock along with factors such as moisture content, pore structure and ion migration in the water injection process, and the resistivity of the water injection area is measured through a data acquisition and processing system. The water injection state, the permeation path and the wetting effect in the coal rock are dynamically reflected in real time, and a scientific basis is provided for real-time adjustment and optimization of water injection parameters.

The invention provides an equivalent circuit analysis method and system for soil resistance heating efficiency, and relates to the technical field of soil remediation. Resistivity distribution data and salt content distribution data of a pile space are obtained; calculating the ionic conductivity according to the salt content distribution data, and calculating the target conductivity of each grid unit; constructing a topological graph, and constructing a weighted adjacent matrix based on the topological graph; constructing a degree matrix according to the degree of each graph node to obtain a feature value sequence and a feature vector corresponding to each feature value; extracting a second small feature value from the feature value sequence as a connectivity index, and marking a mutation position as a weak connection interface; the blocking factor is determined by counting the number of graph nodes located at the weak connection interface, the equivalent circuit transmission efficiency representing the soil resistance heating efficiency is calculated based on the negative correlation between the connectivity index and the blocking factor, and accurate quantitative evaluation of the heterogeneous soil resistance heating efficiency is achieved.

The invention provides a floating photovoltaic power station grounding resistor fault positioning method and device, the method is applied to a controller in a fault positioning system, and the fault positioning system further comprises a grounding grid of a floating photovoltaic power station, a sensing network formed by deploying sensors at key nodes of the grounding grid, and a signal generator. The method comprises the following steps: in response to a received fault positioning instruction, triggering a signal generator to inject a high-frequency test current signal into a grounding grid; acquiring a current-voltage data set through a voltage response signal of each key node acquired by a sensing network; based on the current-voltage data set, resistivity distribution reconstruction is carried out by adopting an impedance imaging algorithm, and a three-dimensional resistivity distribution diagram of the grounding grid is generated; and according to the three-dimensional resistivity distribution diagram, positioning an abnormal region with a resistance value exceeding a preset threshold value in the grounding grid. According to the method, three-dimensional visual imaging of resistivity distribution in the grounding grid and accurate positioning of an abnormal area are realized.

The present application belongs to the technical field of semiconductor device performance testing, and particularly relates to a VCSEL epitaxial wafer resistivity distribution measurement method and system, which comprises the following steps: constructing a three-dimensional discretization model representing the epitaxial wafer and an unknown parameter vector containing a vertical resistivity, a top lateral resistivity and a nonlinear resistance of a substrate leakage junction; defining a physical response function, and through a discrete point fitting algorithm, iterating the vector to minimize the total residual between the simulated voltage difference output by the function and the measured voltage value under a cross order of magnitude current, and extracting the real vertical resistivity from the optimal parameter vector; and obtaining the vertical resistivity of each point on a two-dimensional test point grid to generate a distribution map and perform anomaly detection. The present application solves the measurement distortion problem caused by substrate leakage defects and improves the measurement accuracy of the vertical resistivity.

The application discloses a brain injury identification method and an identification system. The identification system identifies the injury of a patient according to the identification method. The identification method comprises the following steps: firstly, the electrical impedance tomography (EIT) of the brain of the patient is performed to obtain the EIT image of the brain of the patient; then, the region with abnormal resistivity distribution in the EIT image of the brain is taken as a reference for scanning of a near-infrared spectrometer, and a scanning path of the near-infrared spectrometer is planned; finally, the near-infrared spectrometer is scanned along the scanning path, and the lesion range and the lesion type are determined according to the obtained near-infrared spectral data. The electrodes need not be arranged on the whole head of the patient, and the automatic and rapid identification of the lesion range and the nature of the brain injury is realized.

The invention discloses a method for improving resistivity distribution uniformity of a single crystal silicon rod, and belongs to the technical field of photovoltaic material production, and the method comprises the following steps: (1) preparing a multi-element master alloy which comprises a ternary master alloy or a quaternary master alloy and the like; (2) calculating the doping concentration of the multi-element mother alloy in the silicon raw material according to the target monocrystalline silicon rod parameter, wherein the target monocrystalline silicon rod parameter comprises the resistivity rho of the head of the target monocrystalline silicon rod; and (3) feeding the silicon raw material and the multi-element master alloy according to the calculated doping concentration of the multi-element master alloy, and preparing the silicon single crystal rod with good resistivity distribution uniformity by using a multi-feeding and multi-pulling method. Besides, a second movable auxiliary chamber is further arranged in a conventional single crystal furnace device, after drawing of the single crystal rod is completed in the main heating chamber, the next cooling process is performed in the first auxiliary chamber and the second movable auxiliary chamber in sequence, the heat preservation waiting time of the main heating chamber is shortened, and the crystal pulling efficiency is improved.

The application provides a kind of early warning system and method of radial artery compression hemostat based on multiple sensors, belongs to complication early warning technical field.The method comprises the following steps: S1, multiple types of physiological signals in the radial artery compression area are synchronously collected and digitized;S2, the temperature at the proximal end and the temperature at the distal end are subjected to discrete wavelet transform;the pulse signal is subjected to time domain analysis, and the pulse amplitude is extracted;S3, a temperature distribution model of the compression area is constructed based on the temperature difference signal;S4, the resistivity distribution of the compression area is reconstructed through the electrode impedance signal, and the bleeding position is located;S5, the pressure change rate is calculated based on the pressure digital signal;the pulse amplitude attenuation rate is calculated based on the pulse amplitude;the pressure change rate, the temperature gradient vector, the pulse amplitude attenuation rate and the bleeding index are fused through a weighted summation formula, and a comprehensive risk value is obtained.The application improves the complication-related parameter coverage rate through multiple sensors, and improves the timeliness and accuracy of complication early warning.

This application provides an automatic silicon core testing device, relating to the field of polysilicon technology. It includes: a positioning mechanism for positioning at least one silicon core, the silicon core being arranged laterally or vertically and capable of rotating about its own axis; a size measuring mechanism for measuring the dimensions of the silicon core; a resistivity measuring mechanism for measuring the resistivity distribution of the silicon core; and a driving mechanism for contacting or separating the resistivity measuring mechanism from the silicon core. This automatic silicon core testing device solves the technical problem that current silicon core testing mainly relies on manual sampling, which suffers from low efficiency, high missed detection rate, large human measurement errors, and the possibility of substandard silicon cores being used despite passing sampling. This leads to substandard silicon cores entering the production process and even causing serious accidents such as furnace collapse and silicon core detachment, resulting in huge economic losses.

The invention relates to the technical field of nondestructive testing of geotechnical engineering anchoring structures, in particular to an anchor cable grouting quality detection method based on electrical resistance tomography, which comprises the following steps: establishing a refined electrical simulation model, performing differential insulation parameter optimization design on a free section and an anchoring section of an anchor cable, and effectively inhibiting current shunt; optimizing the spatial arrangement of the electrode array based on targets such as the signal-to-noise ratio and the sensitivity field uniformity; in an inversion algorithm, the steel strand and an insulating layer are used as prior constraints, and the dynamic identification capability is improved in combination with time sequence regularization; and finally, performing intelligent comparative analysis on the resistivity distribution obtained by inversion and a pre-constructed grouting body resistivity characteristic reference library, and outputting a quantitative test result and a visual image containing defect positions, types, sizes and overall quality grades. According to the invention, high-precision, three-dimensional and quantitative nondestructive testing and dynamic monitoring of the grouting quality of the anchor cable are realized.

A method for evaluating a silicon single-crystal ingot is provided that reduces the time required to evaluate the resistivity variation in the crystal length direction and improves wafer yield. In the method for evaluating a silicon single-crystal ingot according to the present embodiment, a counter doping is performed by adding a sub-dopant during the pulling of silicon single-crystals ingot by the CZ method, resistivity on a side surface in a crystal length direction is measured by a four-point probe method in a silicon single-crystal ingot 1 state after the silicon single-crystal ingot is pulled up, and a reject range is determined on the basis of a resistivity distribution in the crystal length direction.

A method for forming a semiconductor structure includes: forming a buried layer, then pre-treating a substrate, the pre-treating including one or both of element precipitation treatment on a first surface and element blocking treatment on a second surface; and forming an epitaxial layer covering the first surface after pre-treating the substrate. If the second surface is subjected to element blocking treatment, the probability of elements in the substrate and the buried layer escaping from the second surface is reduced, which correspondingly reduces the probability of self-doping during epitaxial layer growth, thereby making the diffusion resistivity distribution curve closer to the substrate region. If the first surface is subjected to element precipitation treatment, the probability of element neutralization between the elements in the substrate and the buried layer is reduced, thereby making the diffusion resistivity distribution curve closer to the substrate region. In summary, using either or both of element precipitation treatment and element blocking treatment can make the diffusion resistivity distribution curve closer to the substrate region.

The invention relates to a method for improving the cycling stability of a silicon-carbon negative electrode material of a new energy battery. The method comprises the following steps: firstly, acquiring initial microstructure data of a silicon-carbon material, then constructing a finite element mesh model according to the data, simulating stress distribution in a lithiation process, and determining a critical stress value of a structure weak area. Then, a porous composite buffer structure is designed based on the obtained critical stress value to construct a three-dimensional conductive network, and a resistivity distribution matrix and a coverage rate topological graph of the conductive network are obtained; and then, adjusting the ratio of the silicon carbon material to the conductive additive according to the resistivity distribution matrix and the coverage rate topological graph to obtain a final material ratio scheme. And finally, carrying out cycle performance test according to the final material proportioning scheme to obtain process parameter combination data of the negative electrode material. According to the method, the problem of volume change of the silicon-carbon negative electrode material in the charging and discharging process is effectively relieved, the structural stability of the material is improved, and the cycling stability of the battery is remarkably enhanced.

The application discloses a cement mixing pile hole forming uniformity detection method based on resistivity three-dimensional imaging, and particularly relates to the field of nondestructive testing of engineering materials, and is used for solving the problem that the general resistivity inversion method is blurred in detecting the real defect boundary due to the smoothness constraint when detecting the discrete non-uniform body in the cement mixing pile, and false abnormal transition zones are prone to be generated, thereby affecting the detection accuracy; effective data is obtained by acquiring resistivity measurement data and screening, a partition constraint inversion strategy is adopted based on the effective data to weaken the smooth constraint on the core area of the pile body and to retain the conventional smooth constraint on the surrounding medium area, so as to generate a three-dimensional resistivity distribution result, the density clustering and spectral density analysis are extracted and utilized to verify the time and space of the electrical property mutation boundary, the continuous false abnormal transition zone is removed through similarity matching to generate a purified resistivity distribution result, and the uniformity detection conclusion is output based on the result, and the accuracy of the internal non-uniform defect recognition of the cement mixing pile is improved.

The invention provides an aviation transient electromagnetic measurement data interpretation method, device and equipment and a storage medium, and the method comprises the steps: transmitting a transient current to a to-be-measured point through a transmitting coil, and receiving an electromagnetic signal through a receiving coil; determining the coordinates of the to-be-measured point based on the coordinates of the transmitting coil and the coordinates of the receiving coil; and inputting the electromagnetic signal and the coordinate of the point location to be measured into the transient electromagnetic measurement data interpretation model to obtain a resistivity distribution interpretation result of the point location to be measured. By capturing the long-range dependency relationship of the space-time electromagnetic response, the adaptive feature fusion of the transient electromagnetic data is realized, and the limitation of the existing single-mode characterization is solved; the interpretation capability of the transient electromagnetic measurement data interpretation model is enhanced by introducing priori knowledge such as geometric space information, transmitting and receiving coordinates and topographic relief of measurement points, the transient electromagnetic measurement data interpretation model based on three-dimensional information is constructed, and the interpretation credibility of transient electromagnetic measurement data is improved.

The present invention provides a susceptor with improved responsiveness of temperature control, and an object thereof is to obtain a high-quality wafer product without impairing productivity. Provided is a susceptor that generates heat by induction heating, the susceptor including a graphite base material and a ceramic coating layer. The graphite base material exhibits a variation (ρmax / ρmin) Of an in-plane electrical resistivity distribution of the graphite base material at room temperature of 1.00 to 1.05 and a rate of high-temperature change (ρ1600 / ρ800) of electrical resistivity at 1600° C. to that at 800° C. of 1.14 to 1.30.

This invention provides a method and system for predicting the state of a substation affected by stray current fluctuations. Based on train operation data, a digital twin traction power supply system model integrating train dynamics and traction arc characteristics is used to generate a stray current disturbance signal containing transient pulse components. Based on earth resistivity distribution data and the stray current disturbance signal, a three-dimensional finite element underground stray current diffusion model with adaptive mesh refinement is used to obtain the current component flowing into the substation grounding grid. Based on the current component and substation operation data, a digital twin model of the substation's electromagnetic-thermal coupling, explicitly modeled with the core lamination structure and oil-cooled convection channel, is used to make predictions, obtaining the substation's bias magnetization prediction results and temperature rise prediction results. This invention comprehensively considers multi-source heterogeneous data and combines simulation technology for the entire chain of subway traction, earth, and power grid substations, which can improve the risk prediction results of substations.

This invention discloses a three-dimensional resistivity imaging probe and system for ultra-deep directional boreholes, belonging to the field of engineering exploration technology. The downhole probe adopts an inner-lined scanning structure with longitudinal grooves on its outer shell surface. A probe array is installed within the grooves, and the exposed ends of the probes are radially scattering, forming inner-lined contact with the borehole wall. The probe integrates an attitude measurement and probe extension module, a power supply module, and a data storage and transmission module. The system includes a ground control and processing unit, a cable transmission unit, and the downhole probe itself. An excitation electric field is generated by the power supply electrodes, and the probe array collects borehole wall voltage and current data. Combined with a three-dimensional resistivity imaging model and image reconstruction algorithm, an image of the circumferential cylindrical resistivity distribution of the borehole is generated. This invention achieves in-situ, high-precision three-dimensional resistivity imaging of boreholes, accurately identifying the spatial distribution of faults, fissures, and weak interlayers around the borehole, providing reliable technical support for risk identification and assessment in deep earth engineering.

This application relates to a method for improving the cycle stability of silicon-carbon anode materials in new energy batteries. The method includes: first, acquiring initial microstructure data of the silicon-carbon material; then, constructing a finite element mesh model based on the data to simulate the stress distribution during lithiation and determine the critical stress value of structurally weak regions; subsequently, designing a porous composite buffer structure based on the obtained critical stress value to construct a three-dimensional conductive network, obtaining the resistivity distribution matrix and coverage topology map of the conductive network; subsequently, adjusting the ratio of silicon-carbon material to conductive additives according to the resistivity distribution matrix and coverage topology map to obtain the final material ratio scheme; finally, conducting cycle performance tests according to the final material ratio scheme to obtain the process parameter combination data of the anode material. The above method effectively alleviates the volume change problem of silicon-carbon anode materials during charge and discharge processes, improves the structural stability of the material, and thus significantly enhances the cycle stability of the battery.

The application discloses a kind of ground electrode in time domain finite difference simulation soil ionization effect characterization method, including obtaining the geometry of the ground electrode to be characterized, soil characteristics, environment and excitation source parameters, construct electrode in FTDT simulation model;The model is meshed, the absorption boundary condition and simulation total length are determined and initialized;Current density and electric field intensity around electrode are calculated, and soil resistivity is updated;The total resistance of electrode under the distribution of current soil resistivity is calculated, and the equivalent radius of electrode is calculated correspondingly;The correction factor of time domain finite difference is calculated using the equivalent radius of electrode, and then the vertical electric field component parameter of electrode is corrected;When the current simulation length reaches the simulation total length, the ground electrode top voltage, resistance, equivalent radius characterizing soil ionization effect are output;Method can accurately characterize soil ionization effect under coarse grid, greatly improve the calculation efficiency.

The utility model provides a feeding device and a continuous czochralski single crystal furnace, and relates to the technical field of silicon single crystal manufacture, the feeding device comprises a first feeding cylinder, a second feeding cylinder and a feeding pipe, one end of the feeding pipe is used for stretching into a single crystal furnace, the other end of the feeding pipe is provided with a feeding port, and the feeding port is provided with a feeding port. A discharging port of the first feeding cylinder and a discharging port of the second feeding cylinder are arranged corresponding to the feeding port respectively, a first valve is arranged at the discharging port of the first feeding cylinder, the opening degree of the first valve is adjustable, a second valve is arranged at the discharging port of the second feeding cylinder, and the opening degree of the second valve is adjustable. Compared with the prior art, the feeding device disclosed by the utility model not only can regulate and control the discharge amount of the silicon material and the mother alloy according to the set weight ratio of the silicon material to the mother alloy, but also can avoid the phenomenon that the concentration of the mother alloy is graded in a silicon solution, and improves the distribution uniformity of the resistivity of the monocrystalline silicon crystal and the stability of the battery efficiency.

This invention discloses a semiconductor resistivity measurement device at liquid nitrogen temperature. The device includes: a mounting base plate, a sample holder, a probe module, a sliding stage module, a fixed vertical plate, a first indium sheet, a second indium sheet, a first copper electrode, a second copper electrode, a first insulating liner, a second insulating liner, and a sample pressurization movable module. The sliding stage module is connected to the probe module, which is equipped with multiple wedge-shaped probes. The fixed vertical plate is sequentially connected to the first insulating liner, the first copper electrode, and the first indium sheet. The sample pressurization movable module is connected to the electrode fixing plate, which is sequentially connected to the second insulating liner, the second copper electrode, and the second indium sheet. The first and second indium sheets are respectively positioned at the end face of the sample to be measured. The sample holder and the probe module are respectively positioned at the crystal plane of the sample to be measured. This invention uses a spring plate to pressurize the wedge-shaped probes, ensuring good contact between the wedge-shaped probes and the sample at low temperatures. It eliminates the need for slicing and sample preparation, and quickly obtains the resistivity distribution results of the entire single crystal.

The application provides a slow-release device, a rubidium-titanium potassium phosphate oxide crystal and a preparation method thereof, and belongs to the technical field of electro-optic crystals and nonlinear optical crystals. The application provides a slow-release device, which comprises a hollow inner tube and a hollow outer tube sleeved outside the hollow inner tube; the hollow inner tube and the hollow outer tube are both closed structures provided with slow-release holes at the top; the diameter of the slow-release hole is 0.3-3 mm. The slow-release device provided by the application can avoid crystal cracking, and the prepared rubidium-titanium potassium phosphate oxide crystal has the advantages of high resistivity and uniform resistivity distribution.

The application belongs to the technical field of indoor hydrogeological experiment, and provides a testing device for coupling of deformation of porous medium and migration of heavy non-aqueous phase liquid, which comprises a split device main body, a fluid control system for controlling water phase and non-aqueous phase in a split mode, and a multi-dimensional synchronous monitoring system integrated with deformation monitoring, inter-well resistivity imaging, pore water pressure monitoring and flow monitoring. The deformation monitoring module non-destructively exports the internal settlement of the sample through an integrated carbon fiber transmission rod, the inter-well resistivity imaging module acquires dynamic resistivity distribution by using symmetrically arranged sealed insulation monitoring electrodes on the sidewall, and the data acquisition module synchronously collects displacement, water pressure and flow data under the same time reference. The application breaks through the ideal assumption of no deformation of traditional porous medium, can truly reproduce the coupling evolution process of deformation of porous medium and migration of heavy non-aqueous phase liquid, and provides experimental support for collaborative mechanism research.

This invention belongs to the field of semiconductor manufacturing technology and discloses a method and system for adjusting the PVA water absorption roller wafer drying process based on reinforcement learning. The sensor fusion module builds a full-dimensional perception system, accurately capturing four-dimensional state data of the PVA roller, wafer, environment, and actuator through multiple types of sensors, and outputting a unified state vector after processing by a cross-modal fusion algorithm. The reinforcement decision module combines expert knowledge graphs and deep reinforcement learning, adopting a dual-drive architecture and a dynamic multi-objective reward function. It can accelerate model convergence by relying on expert experience, and dynamically balance drying quality, efficiency, energy consumption, and equipment wear, outputting the globally optimal combination of parameters such as roller pressure and speed, effectively reducing wafer moisture residue and scratch defect rate. The quality feedback module constructs a four-dimensional real-time evaluation system based on physical, optical, electrical, and temporal trends, quantifying drying quality from multiple dimensions such as contact angle, surface defects, and resistivity distribution, and providing real-time feedback.