30results about How to "Improve observation accuracy" patented technology

The invention provides a stabilization control method and system for a fuel filling ship at a zero navigational speed. The method provided by the invention comprises the following steps: acquiring rolling data and wind wave data of a refueling ship under a target sea condition in a fuel refueling process in real time; the rolling data and the wind wave data are processed based on a radial basis function neural network, and the precession angular velocity of the stabilization gyro device under the target sea condition is obtained through calculation; the stabilization gyro device is controlled to rotate at the precession angular speed, the stabilization gyro device generates a gyroscopic effect and generates rolling moment, the rolling moment is converted into stabilizing moment for resisting rolling through precession motion, and the rolling angle of the filling ship is reduced; and the stabilizing moment is opposite to the vibration direction of the rolling. According to the method and system, rolling control of the filling ship at the low speed or the zero navigational speed is achieved, the stabilization torque can be adjusted in real time according to sea wave changes, and the stability and safety of the filling ship in the fuel filling operation process are improved.

The invention discloses a method for dynamically correcting off-axis aberration of a liquid mirror telescope, which comprises the following steps of: S1, adjusting a secondary mirror body to perform dynamic full-angle circular motion around the center of a primary mirror by using a secondary mirror rotating system, so that the secondary mirror body acquires an incident beam from any direction; s2, acquiring attitude information of the secondary mirror body, and adjusting the secondary mirror body according to the dynamically changeable off-axis angle based on a preset secondary mirror pose adjustment sub-method to compensate for low-order aberration; s3, the light beams of the distorted wavefront compensated by the secondary mirror are adjusted to be emitted in a determined direction in parallel and enter an adjustable beam expanding and shrinking mirror through two groups of plane reflection systems; s4, the light beam with the light spot size adjusted through the adjustable beam expanding and shrinking mirror is reflected to the magnetic liquid deformable mirror through the reflecting mirror; and S5, the magnetic liquid deformable mirror receives the reflected light beam and performs residual aberration correction. According to the method, the observation view field of the liquid mirror telescope can be effectively improved, the imaging quality is improved, and an aberration correction system is endowed with excellent flexibility and wide adaptability.

The invention discloses a synchronous motor sensorless control method based on a Newton-Raphson predictive phase-locked loop, and relates to the technical field of motor control. The invention aims to solve the problems that an existing position-sensorless control method is limited by extra loss and noise caused by high-frequency signal injection in the aspect of position signal extraction and poor dynamic performance caused by a traditional phase-locked loop technology, and a prediction phase-locked loop technology needs a large amount of iterative operation for solving a cost function. According to the method, the flux linkage estimation value of the alpha-beta coordinate system is observed, the filtered flux linkage estimation value of the alpha-beta coordinate system is reconstructed, and then a cost function is constructed; when the number of iterations in the current motor control period does not reach the maximum, updating a rotor position angle by using a Newton method, and further updating a cost function; and when the number of iterations in the current motor control period reaches the maximum, calculating a convergence angle in the current motor control period by using an improved Newton method, and calculating an angular velocity estimated value, thereby realizing position-sensorless control of the synchronous motor.

The embodiment of the invention relates to the technical field of air conditioners, in particular to a refrigerant leakage detection method of a compressor, refrigeration equipment and a storage medium, and the refrigerant leakage detection method comprises the steps that in a non-air-supply mode, operation parameters and load values of a target compressor are collected according to a preset collection period; aiming at the first operation parameter and the first load value acquired in the first acquisition period, judging whether the first load value is within a first normal load threshold range corresponding to the first operation parameter or not; if not, the operation parameters of the target compressor are adjusted to reduce the load value; for a second operation parameter and a second load value acquired in a second acquisition period after the operation parameter adjustment, judging whether the second load value is within a second normal load threshold range corresponding to the second operation parameter; and if not, it is determined that refrigerant leakage occurs in the target compressor. The refrigerant leakage condition can be confirmed without introduction of too many hardware sensor circuits, and the reliability of the air conditioning system is effectively improved.

The invention discloses a pipeline thermal cycle visualization test system and method.The test system comprises a test section pipeline, the test section pipeline comprises a main pipeline (1), a branch pipeline (2) and an injection pipe section (3), and the injection pipe section (3) and the branch pipeline (2) are communicated to different positions of the main pipeline (1) respectively; the injection pipe section (3) is used for injecting fluid different from fluid components in the main pipeline (1) into the main pipeline (1), and the branch pipeline (2) is vertically connected to the main pipeline (1); the test method comprises the steps that the temperature and the flow speed of water flow passing through the test section pipeline are adjusted to be within the set range, the vortex generators (1a and 2a) are started, the injection pipe section (3) is started, and flowing of liquid in the test section pipeline is monitored. And the vortex generation position and the growth process in the thermal cycle phenomenon can be monitored, and a powerful reference is provided for exploration of the thermal cycle mechanism of the nuclear power plant pipeline.

In order to solve the technical problems that the existing droplet observation device cannot monitor the multi-nozzle printing process and the overall observation precision is low, the present application provides a multi-nozzle single droplet real-time observation device, an observation method and a 3D printing system.The observation device of the present application can make the observation camera capture the current working printing nozzle and automatically focus on it in real time through the cooperation of the first steering engine and the displacement platform, and complete the real-time monitoring of the printing state of the printing nozzle; through the high-frequency multiple flashing of the LED flash, the observation camera can capture the images of the same droplet at multiple times in one shot, at the same time, the high-frequency deflection of the piezoelectric deflection mirror and the telecentric lens are matched with each other, the overlapping images of the single droplet at adjacent moments are separated, so that a single photo can have enough droplet images to show the forming process, the overall observation precision is improved, the quality monitoring and fault diagnosis problems during additive manufacturing are improved, and the waste rate of electronic 3D printing is reduced.

This application belongs to the field of DC bus voltage control, specifically disclosing a super-spiral sliding mode active disturbance rejection control method based on an RBF neural network, including the following steps: establishing a mathematical model of a bidirectional Buck / Boost circuit; designing an active disturbance rejection controller, which includes a tracking differentiator and an extended state observer; using an RBF neural network to dynamically optimize the gain parameters of the extended state observer in real time; constructing a super-spiral integral sliding mode controller to replace the nonlinear state error feedback loop in the active disturbance rejection controller; calculating a current reference signal based on the output signal of the tracking differentiator and the observation signal of the extended state observer through the super-spiral integral sliding mode controller; generating a drive signal based on the current reference signal to control the bidirectional Buck / Boost circuit to maintain the stability of the DC bus voltage. This application can effectively improve the stability and disturbance rejection capability of the DC microgrid bus voltage.

The invention provides a two-phase hybrid stepping motor sensorless load angle estimation and locked-rotor detection method, and relates to the technical field of motor control. Firstly, phase voltage and phase current of a motor are collected, a continuous and smooth counter electromotive force signal is obtained by constructing a super-spiral sliding-mode observer, and a self-adaptive strategy of resistance parameter online compensation and sliding-mode coefficient online adjustment is introduced to improve robustness of the sliding-mode observer. And then, extracting a back electromotive force phase angle by using an orthogonal phase-locked loop based on an extended state observer, and calculating a load angle by combining the phase of the stator reference current. And finally, the load angle is compared with a multi-stage early warning threshold value, and real-time monitoring of the motor load and rapid detection of out-of-step and locked-rotor faults are realized. According to the method, the hardware dependence of traditional load angle calculation and locked-rotor detection on a position sensor is eliminated, meanwhile, the problems of high-frequency differential noise, filtering phase lag and the like in a sensorless algorithm are effectively solved, and high-precision load angle estimation and locked-rotor detection are achieved.

The application discloses a non-singular fast terminal sliding mode vibration active control method based on a compensation function observer, 1) according to elastic dynamics, a fourth-order modal equation of a four-side fixed support plate structure driven by an electromagnetic inertial actuator is established; 2) in view of external unknown interference and modeling uncertainty existing in the system, a compensation function observer is designed to realize real-time estimation and compensation; 3) a non-singular fast terminal sliding mode surface is constructed, and a sliding mode control law is designed in combination with the observer output, so that the singularity problem of a traditional terminal sliding mode is solved, and the time for system state to reach a balance point is shortened through a fast convergence term; 4) a comparison experiment is designed, and the composite control method designed in the application can significantly reduce the vibration amplitude of the four-side fixed support plate while guaranteeing the finite time stability of the system, and has stronger anti-interference ability and higher vibration suppression precision compared with the traditional sliding mode control.

The invention discloses a feeder harmonic trajectory estimation method and a terminal. The method comprises the following steps: acquiring fundamental wave impedance data of a feeder and estimating harmonic impedance data based on harmonic times; calculating a state quantity approximate value of an equivalent PCC point in the feeder line by using the harmonic impedance data; and establishing a multi-objective function by taking the approximate value of the state quantity as an initial value and taking the virtual and real part estimation error of each harmonic of the equivalent PCC point, the total harmonic estimation error of the equivalent PCC point and the total effective value error of the node to be solved as constraints, and solving the multi-objective function to obtain the distribution transformer harmonic current content rate and the phase angle which are approximate to the real value. Under the condition of no modeling analysis or high-precision measurement of the harmonic state, the harmonic state is observed by using an approximate estimation method, the detection capability of the harmonic of the power distribution network is improved, an estimation result is prevented from deviating from an actual value through multiple constraints, and the observation precision of the harmonic state is improved.

This invention relates to an active disturbance rejection control method for the surface potential of an isolated conductor based on an RBF neural network and the INFO optimization algorithm, belonging to the field of charge control technology for space inertial sensors. The invention addresses the problems of insufficient accuracy in estimating the fixed gain of the extended state observer and the difficulty in tuning the parameters of the nonlinear feedback control law in existing active disturbance rejection control methods. The method includes: establishing a dynamic model of the isolated conductor charge management system; constructing a dual-error-constrained extended state observer; adaptively adjusting the observer gain using an RBF neural network to observe the potential and total disturbance; constructing a differential tracker to obtain the expected potential and its derivative; designing a nonlinear state error feedback control law; using the INFO algorithm for global optimization to obtain the optimal control parameters; and constructing a composite controller to output feedback control quantities. This invention achieves adaptive adjustment of the observer gain and automatic optimization of the controller parameters, making it suitable for space gravitational wave detection.

The invention discloses an image enhancement processing method for remote sensing and mapping of unmanned aerial vehicles, and relates to the technical field of image enhancement processing. During the operation of the system, the flight attitude and position information are recorded by GNSS and IMU equipment, the flight path of the unmanned aerial vehicle is controlled, and the collected original image is preliminarily processed to calculate and obtain: flight stability coefficient Fs, image acquisition quality coefficient Iq and terrain feature retention coefficient Tf, and the non-local mean NLM algorithm is used to remove random noise in the remote sensing image, optimize the edge area, and use the Laplace pyramid algorithm to improve the edge clarity and texture details of the terrain image, strengthen the mountain and hilly landform features, correct the color distortion caused by the complex lighting conditions in the mountains, make the image color truly restore the terrain features, avoid the loss of important landform information due to excessive brightness or darkness, optimize the terrain feature extraction, and generate the final index Z final ,Quality assessment of enhanced and rectified images.

This invention discloses an input-constrained stabilization control method for a TORA system affected by uncertain disturbances, relating to the field of engineering vibration control technology. The method includes: establishing the dynamic equations of the TORA system; constructing a Model-Assisted Reduced-Order Extended State Observer (MRESO) to dynamically estimate lumped disturbances in each subsystem online; designing a virtual control law for the translational trolley subsystem based on the backstepping method, and processing the virtual control law using a tracking differentiator to obtain a smooth differential signal; designing an actual control law for the rotating ball subsystem without considering input constraints; using the lumped disturbance as a feedforward compensation quantity to compensate the actual control law, obtaining the compensated control quantity; and inputting the compensated control quantity into a saturated approximation function for mapping to generate the final bounded control command, which is then applied to the actuator of the TORA system. This invention effectively reduces the sensitivity to system parameter uncertainties by introducing dimensionless scaling.

The invention discloses a pointing calibration method for an X-Y type radio telescope. The method comprises the following steps: 1) constructing a pointing calibration model # imgabs0 # delta y = C2 + C3sinx-C4cosx + C7cosinx + C8coty of the X-Y type radio telescope; wherein C1 = alpha, C2 = beta, # imgabs1 # imgabs2 # C5 =-delta, C6 =-gamma, C7 = xG1, # imgabs3 # alpha and beta are code disc readings corresponding to x = 0 and y = 0 respectively, gamma is a deviation angle pointing to the Y-axis positive direction, delta is a deviation angle pointing to the Y-axis positive direction, delta is a deviation angle pointing to the X-axis positive direction, epsilon is a deviation angle pointing to the X-axis positive direction, epsilon is a deviation angle pointing to the X-axis negative direction and the geographic north pole, # imgabs4 # is an included angle pointing to the projection of the X-axis negative direction on the east-zenith plane and the geographic east, and y is a deviation angle pointing to the X-axis positive direction. X is a deviation coefficient of pointing on pitching caused by gravity torque, and # imgabs5 is a pitch angle deviation coefficient caused by atmospheric refraction; 2) performing fitting calculation by using the pointing error measurement data to obtain numerical values of C1-C8; and 3) calibrating the X-Y telescope by using the directional calibration model.

The utility model relates to grain inspection equipment technical field discloses an abnormal soybean identification device, include: casing, have cavity inside, the casing has opposite first end face and second end face, is set up with a plurality of first sieve hole on the first end face, is set up with a plurality of second sieve hole on the second end face, every first sieve hole with its corresponding second sieve hole coaxially arranged, the aperture of first sieve hole is greater than the aperture of second sieve hole, observation board is movably set up in the first end face, and is inlaid with the first end face, lifting cylinder is set up in the cavity, and the both ends of lifting cylinder are set up in the first sieve hole and second sieve hole respectively, and can move along the axial movement of first sieve hole or second sieve hole, the utility model can promote the observation accuracy of identification personnel to soybean color and luster, flaw, and promptly discovers tiny anomaly, reduces the risk of missed detection.

The utility model relates to the technical field of valves, and provides a water flow indicator which is high in observation accuracy and not prone to being shielded, the water flow indicator comprises a body, the body comprises a water passing channel and a transparent observation pipe embedded in the middle section of the water passing channel, a support is arranged on the inner wall of the transparent observation pipe, and a rotary fan blade shaft is movably clamped on the support. A cleaning structure is arranged on the transparent observation pipe in a sliding and attached mode, and when the inner wall of the transparent observation pipe is shielded by silt, the cleaning structure is pulled to scrape and clean the silt on the inner wall of the transparent observation pipe.

The invention discloses a CSOGI-based IPMSM position sensorless control method and related equipment, and relates to the field of AC motor control, and the method comprises the steps: constructing a stator back electromotive force based on the collected stator voltage and current, carrying out the integration of the back electromotive force through employing the CSOGI, so as to obtain a stator flux linkage component, and carrying out the integration of the stator flux linkage component; meanwhile, a second-order generalized integrator SOGI is used for conducting self-adaptive filtering on the stator current to obtain a fundamental current component, then the effective flux linkage is calculated in combination with quadrature-axis inductance, the effective flux linkage is input into a phase-locked loop PLL to extract the electrical angular speed and the rotor position, and a vector control closed loop without a position sensor is achieved. The center frequencies of the CSOGI and the SOGI are consistent with the synchronous electrical angular velocity of the motor, and suppression of direct current bias and higher harmonics is realized through parameter design, so that the stability and precision of flux linkage observation and position estimation are improved. The method is suitable for IPMSM position sensorless control in the presence of measurement bias and harmonic interference.

The present invention discloses a motor control method, device, compressor, storage medium and air conditioner, the method comprising: obtaining the first back electromotive force information of the motor based on an effective flux linkage model; filtering the first back electromotive force information based on a complex coefficient filter to obtain the second back electromotive force information; obtaining the estimated rotor electrical angular position and electrical angular velocity of the motor according to a phase-locked loop based on an extended state observer and the second back electromotive force information; and controlling the motor according to the estimated rotor electrical angular position and electrical angular velocity of the motor. The method obtains the first back electromotive force information of the motor based on an effective flux linkage model, and then filters the first back electromotive force information based on a complex coefficient filter to obtain the estimated rotor electrical angular position and electrical angular velocity of the motor, thereby avoiding amplitude attenuation and phase lag, improving the stability of the system and the observation accuracy of the rotor position, reducing the sensitivity and dependence on motor parameters, and improving the robustness of the system.

The invention discloses an all-parameter hybrid measurement method for a sine-type electro-magnetic doubly salient motor, and relates to the field of sine-type electro-magnetic doubly salient motors, and the method comprises the steps: firstly, taking the temperature change factor into consideration in an offline state, and obtaining armature resistances at different temperatures in an offline manner; then, an excitation flux linkage is determined by off-line actual measurement of any phase of no-load back electromotive force peak value at a specific rotating speed; on the basis of armature resistance and excitation flux linkage obtained through off-line measurement, three enhanced extended state observers are constructed for a motor motion equation of the sine-type electro-magnetic doubly salient motor and motor voltage equations under two orthogonal axis coordinate systems according to an active-disturbance-rejection control theory; according to the method, the design is simple, the measurement precision is high, the robustness is high, and the defect that different methods are adopted to measure mechanical parameters and electrical parameters respectively is avoided.

This invention discloses a sensorless control method and system for a permanent magnet synchronous linear motor (PMSM), belonging to the field of sensorless control technology for PMSMs. The method constructs an adaptive full-order state observer based on the current-state equation of the PMSM; utilizes the current-state error to construct an error feedback gain matrix; derives a parameter adaptive law based on Popov's hyperstability theorem to adjust the error between the observed current and the sampled current in real time; and designs an active disturbance rejection controller based on the motor's motion equation to further improve position observation accuracy by suppressing the influence of comprehensive system disturbances on the adaptive observer. This invention enables efficient sensorless control of PMSMs, eliminating the need for position sensor installation and improving position observation accuracy and system anti-interference capability.

The present application discloses a wireless positioning method, device, equipment and storage medium, which relates to the field of wireless communications, including: based on multiple transmission processes of positioning reference signals between a user terminal to be positioned and multiple base stations synchronized in time and frequency, calculating the CFR quotients of multiple preset base station pairs, eliminating the time delay and phase jitter errors of multiple transmission processes; compensating for the phase offset caused by the terminal movement according to the parameter value of the pre-set non-zero-order motion parameter, which helps to achieve the phase alignment of the CFR quotients at different times, and then performing coherent accumulation, estimating the motion parameters of the user terminal relative to the base station pair according to the CSI quotient after coherent accumulation. The present application improves the signal-to-noise ratio through coherent accumulation, and improves the observation accuracy of the relative motion parameters of the terminal to the two base stations; finally, based on the position of each base station and the observed value of the motion parameters of the terminal relative to each preset base station pair, the user terminal is positioned, which improves the terminal positioning accuracy to a certain extent.

The invention relates to a missile-borne inertial measurement unit self-calibration method based on an orientation transfer mode, and belongs to the technical field of navigation guidance and control. After a missile is delivered out of a warehouse, an initial orientation is transferred to a missile-borne inertial measurement unit in an optical aiming mode, an orientation reference error transfer equation is established, and the self-calibration of the missile-borne inertial measurement unit is realized in a zero-speed and orientation matching mode; the observability of the zero error of the fiber-optic gyroscope is improved, the zero error of the fiber-optic gyroscope is estimated by using a Kalman filter, the observable precision of the error is judged, and the transmission redundancy self-calibration based on the azimuth reference is realized; according to the method, the high-precision light aiming system is used as a truth value reference, so that the attitude precision of the missile-borne inertial measurement unit is improved; the self-calibration capability of a missile system is improved, and the navigation precision and reliability of a missile in a complex environment are enhanced.

The invention provides a new reservoir automatic identification method based on two-step remote sensing mapping, and the method comprises the steps: determining the spatial position and the maximum water area range of a potential new reservoir based on the multi-year water body frequency synthesized by medium and high resolution remote sensing images, and dividing and comparing the accumulated water body frequency difference in different time periods according to different years; for a potential newly-built reservoir object, a year-by-year average water body area time sequence under the maximum water area range constraint is extracted to carry out trend analysis and breakpoint detection, and reservoir building / water storage activities are positioned according to trend characteristics before and after breakpoints disclosed by a time sequence analysis result. Spatial position extraction, water area spatial range matching and reservoir water storage time identification of the newly-built reservoir / artificial lake are effectively realized. According to the method, medium-high spatial resolution images can be obtained freely, the application range of the method is expanded, and an important technical method support is provided for establishing efficient large-scale newly-built reservoir cataloguing and watershed reservoir water storage and drainage information parameterization.

The application provides a kind of two-phase hybrid stepping motor position sensorless load angle estimation and stall detection method, it is related to motor control technical field.First, the phase voltage and phase current of motor are collected, the continuous smooth back electromotive force signal is obtained by constructing supercoil sliding mode observer, and the adaptive strategy of introducing resistance parameter online compensation and sliding mode coefficient online adjustment is introduced to improve the robustness of sliding mode observer.Then, the back electromotive force phase angle is extracted by using the quadrature phase-locked loop based on extended state observer, and the load angle is calculated by combining the phase of stator reference current.Finally, the load angle is compared with the multi-stage early warning threshold, the real-time monitoring of motor load and the rapid detection of out-of-step stall fault are realized.The application eliminates the hardware dependence of traditional load angle calculation and stall detection on position sensor, effectively overcomes the problems of high-frequency differential noise, filter phase lag and other problems in sensorless algorithm, and realizes high-precision load angle estimation and stall detection.

The invention discloses an unmanned aerial vehicle fixed time control method and system for cooperatively inhibiting interference and IMU spoofing. The method comprises the following steps: constructing an explicit nonlinear attitude dynamics model containing IMU spoofing attack and external lumped disturbance and a controlled model; according to the nonlinear attitude dynamics model, introducing a virtual intermediate variable, and obtaining a feedforward compensation signal; introducing a piecewise defined auxiliary function, and constructing a fixed time sliding mode function according to the controlled model; according to the observed value and a fixed time sliding mode function, a total control law is constructed, it is ensured that the attitude tracking error of the closed-loop system is converged to a stable state within preset fixed time, and the upper bound of total convergence time depends on controller parameters. According to the method, interference and attack can be effectively distinguished and suppressed in a strong confrontation environment of the unmanned aerial vehicle, and rapid recovery and stable control of the flight attitude are realized, so that the adaptability and task execution reliability of the unmanned aerial vehicle in a complex electromagnetic and acoustic interference environment are enhanced.

This invention discloses a control method for a dual three-phase permanent magnet synchronous generator (DTP-PMSG) rectifier system. By modeling the dual three-phase permanent magnet synchronous generator, vector control is performed on the DTP-PMSG rectifier system. A sliding mode observer based on an adaptive superspiral algorithm replaces the traditional sliding mode observer to estimate the motor back electromotive force and rotor position. This method suppresses the high-frequency chattering problem caused by the traditional sliding mode observer using a sign function as the control function, improving the observation accuracy of the rotor angle position. Furthermore, it ensures that the DC output provides stable DC power to the load. Simulation results verify the effectiveness of the proposed control scheme based on the adaptive superspiral algorithm sliding mode observer.

The application discloses a correction method, device and equipment of a Dick switch type ozone microwave radiometer, and belongs to the technical field of ozone microwave radiometer calibration. The method comprises the following steps: acquiring real-time observation data of a Dick switch type ozone microwave radiometer on ozone observation, and a receiving power ratio of a Dick switch switching to an observation signal channel and a reference signal channel in observation data of the Dick switch type ozone microwave radiometer on ozone observation under extreme weather conditions; weighting the reference signal in the real-time observation data through the receiving power ratio, determining the microwave radiation brightness temperature of ozone through cold and hot load calibration according to the difference between the observation signal and the weighted reference signal in the real-time observation data. The application can effectively correct the positive and negative peak asymmetry deviation caused by the frequency switch technology, maintain the continuity of ozone observation, significantly improve the observation accuracy, and greatly reduce the labor cost and observation cost.

The present invention provides an artificial intelligence-based smart space governance platform, which belongs to the field of safety supervision technology and uses a governance method, which specifically includes: determining the network abnormality probability of the observation data of different observation Internet of Things devices and paying attention to abnormal devices through the analysis results of observation data of different observation Internet of Things devices, determining the probability of quality defects in different observation defect potential risk points based on the types of observation defect potential risk points, generating multiple observation defect potential risk point groups based on the observation defect potential risk points, determining the impact on building safety when quality defects occur at the same time at the observation defect potential risk points in different observation defect potential risk point groups, and using the impact on building safety to output a network governance plan for the area, thereby improving the reliability of quality hazard observation.

The present application relates to the technical field of soil and groundwater pollution control and remediation, and particularly relates to a microfluidic visualization device and simulation method for microbial regulation of non-aqueous phase liquid interface behavior. The visualization device comprises a microfluidic chip system for simulating the heterogeneous structure of porous media in the underground environment and an experimental device for observing the microbial regulation of non-aqueous phase interface behavior. The microfluidic chip system constructs a spatial structure simulating the surface heterogeneity of porous media, and combines a fluid injection control system, an optical visualization system, a pressure monitoring system, and a data acquisition and control system in the experimental device, thereby realizing controllable frequency, micron-level precision, and real-time observation of micron to centimeter level for the microbial regulation of non-aqueous phase liquid interface behavior. The multi-source data processing method proposed in the present application realizes quantitative characterization and response of the biological membrane regulation of non-aqueous phase liquid migration path, retention form and redistribution.

This utility model relates to a laser cutting machine blade module and a laser cutting machine, belonging to the field of laser processing equipment. The technical solution is as follows: a laser cutting machine blade module includes two blade bodies, which are parallel to each other. A central support and two side supports are provided between the two blade bodies, and both the central and side supports are connected to the two blade bodies. Along the length of the blade body, the central support is located in the middle of the blade body, and the two side supports are located at both ends of the blade body. A first observation port is provided on the upper edge of the side supports, and a second observation port is provided on the upper edge of the central support. The width of the second observation port is smaller than the width of the first observation port, and the second observation port is located in the middle of the first observation port. The relative position of the second and first observation ports allows for a direct visual observation of whether the blade is bending upwards or downwards, enabling early identification of deformation and avoiding processing waste and production losses due to undetected deformation.