23results about How to "Improve error" patented technology

This invention discloses an InSAR interferometric network optimization method based on a multi-factor coherence surrogate model. The method includes: constructing a multi-factor feature dataset containing SAR imagery, baseline data, and soil moisture data of the study area; constructing a candidate interferometric pair set, and randomly selecting a subset of sample interferometric pairs from the candidate set; constructing a coherence surrogate prediction model, which uses the multi-factor feature data corresponding to the sample interferometric pair subset and the ground truth values ​​of sample coherence to train the model parameters; inputting the multi-factor feature data corresponding to each interferometric pair in the candidate set into the trained coherence surrogate prediction model and outputting the predicted coherence of each interferometric pair and the optimized interferometric pair network. This invention improves the stability and accuracy of unwrapping and time-series inversion, while also reducing the difficulty of interferometric processing and coherence calculation under large-scale data, and can support the needs of large-scale, long-term, and near-real-time monitoring.

The present application relates to the technical field of pipeline defect detection, in particular to a frequency-wavenumber domain imaging method suitable for high-temperature pipeline defect detection, which mainly solves the technical problem that the existing FK domain imaging method is difficult to be applied to high-temperature pipeline defect detection imaging. The frequency-wavenumber domain imaging method suitable for high-temperature pipeline defect detection comprises the following steps: signal acquisition; data preprocessing and gated direct wave signal interception; construction of time scale scaling factor; acquisition of frequency-dependent amplitude compensation factor; phase velocity extraction; gated defect echo signal interception, frequency domain transformation, frequency-dependent amplitude compensation and wavenumber domain transformation; Stolt mapping reconstruction; two-dimensional inverse Fourier transformation; normalization and image display. The imaging method effectively improves the imaging efficiency and significantly improves the imaging position error and focusing state.

This application discloses a high-precision microwave frequency measurement method and system based on continuous-time crystal phase transitions, belonging to the field of quantum sensing technology. This method utilizes the characteristic of the Rydberg atom system at the critical point of a continuous-time crystal phase transition where the response slope of the detected light transmission signal to the microwave frequency is significantly enhanced, breaking through the resolution limit of traditional linear responses. The system includes a quantum sensing unit, an optical excitation and detection module, a microwave modulation and scanning module, an auxiliary radio frequency field module, and a signal processing and control center. By precisely adjusting the parameters, the system is driven to the vicinity of the critical point, the critical frequency is identified, and its high response slope is used to achieve precise frequency measurement. This invention employs a two-stage measurement process, balancing wide dynamic range and high precision, and can be flexibly tuned to adapt to different frequency bands, possessing broad application prospects, especially in microwave communication, frequency metrology, and other fields with significant technical value.

This invention relates to a compliant grasping method and system for robotic arms that integrates RGB-D vision and dynamic inertia adaptive MPC, belonging to the field of robotic arm control technology. It calculates the Cartesian equivalent inertia of the robotic arm's end effector in real time using the joint space inertia matrix and the end effector position Jacobian matrix, constructing a three-layer control architecture of "perception-optimization-execution." It integrates RGB-D visual positioning and multi-stage fifth-order polynomial interpolation trajectory generation technology to achieve a synergistic guarantee of high precision and compliant force control in grasping tasks. Dynamic iterative optimization is performed based on real-time status feedback, ensuring millimeter-level trajectory tracking accuracy of the end effector while strictly limiting the end force within a safe threshold range. This invention achieves deep integration of dynamic inertia estimation and multi-level control, ensuring that the robotic arm can still achieve high-precision and highly compliant grasping operations under complex conditions such as unknown loads and dynamic joint configurations.

The invention provides a cross-game user LTV curve prediction method based on a dynamic quantile correction mechanism. The cross-game user LTV curve prediction method comprises the following steps: (1) obtaining basic training data and processing feature engineering; (2) quantile random forest basic model set training; (3) obtaining short-term alignment data of a target game and carrying out feature adaptation processing; (4) dynamically calculating an optimal quantile parameter; (5) predicting the long-term life cycle value of the new user; and (6) fitting a long-term life cycle value recovery curve. The core idea of the invention is as follows: a traditional point prediction model is transformed into a quantile prediction model, a dynamically optimized quantile parameter calculation module is introduced, and the module calculates a group of optimal quantile parameters by utilizing short-term data (such as 60 / 90 days) which is relatively easily obtained by a target game (or a new game), so that the optimal quantile parameters are obtained. The method is used for correcting the predictive output of the basic model for long-term targets (such as 180 days), thereby adapting to data drift and cross-game differences.

The application discloses a kind of reducer gap measuring device and method.Therein, the device includes: workbench, for placing reducer;Fixed component, for fixing reducer on workbench by various fixing methods, wherein different fixing methods are used to fix different expansion sleeve clamps with workbench;Multiple expansion sleeve clamps are respectively connected with spline on input end and spline on output end of reducer;Torque sleeve is installed on the expansion sleeve clamp connected with spline on input end, for torque operation on input end;Multiple measuring devices are respectively placed on multiple expansion sleeve clamps, for measuring the rotation angle of input end and output end under different fixing methods.The application solves the technical problem of large measurement error in related art for measuring the gap of reducer.

The application relates to a text sensitive word library extraction method, device and equipment based on a neural network model. The method comprises the following steps: constructing a sensitive word library extraction model; the sensitive word library extraction model comprises a self-defined rule algorithm, a character-by-character segmentation algorithm, a Chinese word segmentation algorithm and an N-gram algorithm; the sensitive word library extraction model is pre-trained according to a training data set; the pre-trained sensitive word library extraction model is used for word segmentation extraction and word library quantitative analysis on the text to be extracted; the full-amount word library is subjected to field structure design; the pre-trained sensitive word library extraction model is iteratively trained according to the designed word library; after the sensitive word extraction is carried out by using the trained sensitive word library extraction model, data analysis is carried out according to a word segmentation frequency filtering rule, a word segmentation character quantity filtering rule and a word segmentation type filtering rule, and a sensitive word library is obtained. The method can improve the sensitive word extraction accuracy and efficiency.

The invention discloses a method and a system for inverting global sea level change based on satellite gravity data, and belongs to the field of geophysical monitoring and remote sensing. The method comprises the following steps: acquiring satellite gravity data and multi-source auxiliary data, calculating time-varying characteristics of a gravity field after preprocessing, and constructing an inversion model coupling land mass change and ocean thermal expansion; and finally outputting high-resolution global sea level change data by combining a machine learning and data fusion technology optimization result. According to the method, the problems of insufficient precision and low resolution of a traditional method are solved, the sea level change monitoring accuracy can be effectively improved, and key data support is provided for climate change research and disaster prevention and reduction.

The invention discloses a transformer comprehensive loss measurement system and method based on SF6 gas insulation and multi-range integration, and the system comprises a three-phase independent high-voltage measurement unit, a data collection unit, an AD conversion module, a signal preprocessing unit, a calculation module, a data caching unit, a communication interface, a data uploading and display unit, and a control host. The method comprises the following steps: firstly, collecting signals, then carrying out AD conversion, then carrying out harmonic filtering, and then carrying out a calculation process; then storing the data; and then the stored data is transmitted to the control host, and then real-time waveform display and report output are performed, so that the contradiction between wide range and high precision is fundamentally solved, field interference and overvoltage impact can be effectively resisted, and the test efficiency and the automation level are greatly improved. And the safety risk caused by manual operation in a high-voltage area is avoided.

This invention discloses a switchable dual-clamp unit measurement system for multi-branch grounding systems, comprising multiple isomorphic dual-clamp units. Each dual-clamp unit can clamp a branch and has mode switching capabilities: In non-target branch measurement mode, the single-frequency response of the measurement frequency is extracted based on the feedback signal of the measurement clamp, and test signals with the same amplitude but opposite phase are injected into the pressure clamp in stages to obtain the feedback phase difference; combined with the feedback phase difference, the phase of the injected signal is calculated based on the residual response phasor at the current branch measurement frequency, and the injection amplitude is adjusted to make the residual amplitude index converge and meet the threshold to achieve non-target branch isolation. In target branch measurement mode, a measurement excitation is applied at the measurement frequency to extract the response coefficient, and the grounding resistance value is calculated and output based on the excitation and response. This invention does not require explicit calibration of the channel phase delay, and each dual-clamp unit can work in parallel at the same frequency without coordinated communication, making it particularly suitable for non-disconnection measurement deployments in multi-branch, large-span fields.

A sheet metal garage, including a whole frame and the sheet metal roof arranged on the upper end of the whole frame, the whole frame includes several side-by-side arranged square tube structures, and the square tube structures are connected into a whole through the sheet metal roof. In the utility model, the corrugated sheet metal is used to replace the horizontal rod for connecting the square tube structures in the prior art, the quality of the whole sheet metal garage is reduced, the assembly process of the horizontal pipe is also reduced, the overall cost is reduced, the connection type structure of the square pipe increases the wind and snow resistance of the product itself, the self-tapping screw is used to increase the error, and the assembly is convenient.

The application discloses a wave observation method and device, and belongs to the technical field of ocean observation. The method comprises the following steps: S1, based on the environmental information of a target sea area, a ground control station is used to plan a scanning route and select a scanning mode of a UAV; S2, the UAV is used to collect original point cloud data according to the scanning route, obtain sea surface point cloud data after preprocessing, and transmit the sea surface point cloud data to the ground control station; S3, based on the sea surface point cloud data, dynamic analysis grid division is carried out, and the grid collection strategy of the UAV is real-timely regulated; and S4, the ground control station is used to receive the sea surface point cloud data, and wave surface reconstruction and wave parameter inversion are carried out on the sea surface point cloud data in each grid. Through the joint application of the consistency correction mechanism, the adaptive grid and the physical information neural network model deduction, the observation accuracy and the physical consistency are significantly improved, and the adaptability to complex sea conditions is enhanced.

A method for manufacturing a high-precision mini LED circuit board involves: pre-enlarging one side of a first copper layer to a thickness greater than the designed thickness; sequentially attaching an adhesive layer and a support layer to one side of the first copper layer; partially etching the corresponding pad pattern on the other side to form a semi-etched groove; then silkscreening solder paste and polishing to form the pads; taking a first single-sided copper-clad laminate composed of an insulating dielectric layer and a second copper layer, stacking and pressing the sides of the insulating dielectric layer corresponding to the pads to form a laminated board; sequentially removing the pre-enlarged area, support layer, and adhesive layer from the laminated board to create surface circuit patterns, followed by subsequent processing to form the circuit board; by using a thick copper layer to replace the designed copper layer, and constructing a reverse processing structure with adhesive and support layers, the pads are reverse-formed on the insulating dielectric layer, and the circuit patterns are simultaneously reverse-formed, avoiding the hemispherical protrusion problem of the solder surface caused by solder spraying, providing a high-quality substrate for subsequent LED chip soldering, and effectively reducing the hidden dangers of cold solder joints and poor contact.

The application discloses a high-precision network solving method based on mass-volume flow double coupling, relates to the technical field of mine ventilation, and adopts Kruskal algorithm to select a minimum wind resistance tree; mass air quantity of all branches is represented by the mass air quantity of a residual tree chord, and a wind pressure balance equation set is established; the mass air quantity of the residual tree chord is calculated, and a correction value of each residual tree chord mass air quantity is calculated; the mass air quantity of all branches is iteratively corrected, and when a convergence condition is reached, high-precision mass air quantity of all branches is obtained; and then high-precision volume air quantity of all branches is calculated. The application takes mass flow as a calculation reference, the calculation of the mass flow is not disturbed by air density change, the air flow dynamics in the mine ventilation network can be more accurately simulated, the volume flow solving error is significantly reduced, and the calculation precision and efficiency are improved.

The application discloses a kind of pressure estimation methods of air pressure brake system based on data and physical fusion model, the method is collected air source pressure, brake chamber pressure and ABS solenoid valve control instruction by test bench, constructs time sequence sliding window sample and normalizes processing;Physical information neural network model containing long short-term memory network and full connection layer is constructed, its output brake chamber pressure estimation value, brake chamber temperature, the gas mass flow of valve port and chamber volume are calculated;According to the differential equation of pressure change rate, the physical law residual is calculated;In training, data fitting loss and physical residual loss jointly constitute total loss function, and network parameters are iteratively updated using Adam optimizer until the model converges;The trained model is deployed in brake system controller, brake chamber pressure can be estimated with high precision, strong robustness and physical consistency online only according to air source pressure and valve instruction.

The application discloses a kind of precision calculation method and system of carbon fiber cloth surface acoustic impedance, it is related to the cross field of acoustics engineering and composite material technology, including: obtaining the fiber volume fraction of carbon fiber cloth, warp and weft weaving density, fiber diameter, single layer thickness, layer number, adjacent layer stacking angle, back cavity depth and acoustic angular frequency;According to warp and weft weaving density and fiber volume fraction, anisotropic correction coefficient and equivalent weaving density are calculated;Utilize the anisotropic correction coefficient, equivalent weaving density and other parameters to calculate acoustic resistance;Utilize acoustic angular frequency, fiber volume fraction, single layer thickness, fiber diameter, back cavity depth, layer number and stacking angle to calculate acoustic reactance;Acoustic resistance and acoustic reactance are integrated into the surface acoustic impedance of complex number form.The application can accurately adapt single layer, multi-layer stacking configuration carbon fiber cloth, with small calculation error and high calculation efficiency, and can be widely applied to aerospace acoustic lining, high-end equipment noise reduction and other scenes.

The embodiment of the invention provides a method for determining a damage identification model, and a damage identification method and device, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining a plurality of sample groups; for the Tth sample in the sample group, domain invariant damage features are obtained through adversarial training of a feature sub-network and a domain discriminator; determining a reference decision action based on the splicing result of the domain invariant damage feature and the historical action vector by using the strategy sub-network; determining a state value based on the splicing result and the reference decision action by using a commentator network; calculating a loss value based on a preset loss function; and adjusting parameters of a feature sub-network, a domain discriminator, a strategy sub-network and a commentator network in a preset damage identification model based on the loss values, updating T = T + 1 and historical action vectors, stopping training of the sample groups until TM, and outputting the damage identification model when training of the plurality of sample groups is finished. Therefore, the damage identification model is accurately obtained, and the structural damage can be accurately identified.

A module such as an M2M device or a mobile phone can include a removable data storage unit. The removable data storage unit can include a nonvolatile memory, a noise amplifying memory, and a cryptographic unit. The nonvolatile memory can include (i) shared memory for access by both the module and the cryptographic unit, and (ii) protected memory accessible only by the cryptographic unit. The cryptographic unit can use a noise memory interface and noise amplifying operations in order to increase and distribute bit errors recorded in the noise amplifying memory. The cryptographic unit can (i) generate a random number using the noise amplifying memory and (ii) input the random number into a set of cryptographic algorithms in order to internally derive a PKI key pair. The private key can be recorded in protected memory and the public key signed by a certificate authority.

The utility model provides a small-sized hand warmer, which comprises a shell provided with an inner cavity and a first positioning groove, the first positioning groove is communicated with the inner cavity, and the first positioning groove is positioned on one outer side wall of the shell in a first direction; the battery is arranged in the inner cavity; the control circuit board is arranged in the inner cavity and supplies power to the battery; the heating element is arranged in the first positioning groove and is electrically connected with the control circuit board so as to control the heating element to be turned on and turned off through the control circuit board; the heat conductor is matched with the first positioning groove, the heat conductor covers the heating piece so as to seal the heating piece in the shell, the heat conductor is connected with the heating piece, and the heat conductor and the shell are bonded together. As the heat conductor and the shell are bonded together, a buckle body does not need to be arranged on the heat conductor or the shell, the buckle body cannot be broken, the heat conductor can be reliably fixed on the shell, the installation operation is simple and convenient, standardized and automatic production is easy to realize, and the installation efficiency and the quality stability can be improved.

The invention provides a main body flow determination method, electronic equipment, a storage medium and a program product. The subject flow determination method comprises: according to historical travel data of a road network, determining a plurality of associated paths including a target road section, the historical travel data recording a plurality of road section sets actually driven by each subject in a historical travel process, and the paths being any one road section set; according to the multi-source traffic data of the associated path, determining a main body shunt volume of the associated path in a target time period, the main body shunt volume representing the number of main bodies from a starting point area of the associated path to an end point area of the associated path along the associated path in the target time period; and taking a result obtained by adding the main branch flows of the associated paths as the main flow of the target road section in the target time period. According to the technical scheme, dependence on large-scale sample data training is avoided, and the subject flow of any road section in the road network can be accurately and efficiently estimated without a neural network.

The invention discloses a high-precision network resolving method based on mass-volume flow double coupling, and relates to the technical field of mine ventilation, and the method comprises the following steps: selecting a minimum wind resistance tree by adopting a Kruskal algorithm; the mass air volume of all branches is expressed by the residual tree chord mass air volume, and an air pressure balance equation set is established; calculating residual tree chord mass air volume, and calculating a correction value of each residual tree chord mass air volume; iterative correction is conducted on the mass air volumes of all the branches, and when the convergence condition is met, the high-precision mass air volumes of all the branches are obtained; and high-precision volume air volumes of all branches are calculated. According to the method, the mass flow is adopted as the calculation reference, and the calculation of the mass flow is not interfered by the air density change, so that the airflow dynamic state in the mine ventilation network can be more accurately simulated, the volume flow calculation error is obviously reduced, and the calculation precision and efficiency are improved.

The application discloses a kind of full-automatic coagulation instrument reagent needle liquid level detection methods, comprising the following steps: S1: send ultrasonic pulse signal measurement liquid level change;S2: application intelligent algorithm dynamic compensation error;S3: fusion multi-sensor data optimization liquid level calculation;S4: monitor liquid level and trigger abnormal alarm;S5: realize adaptive learning and optimize system performance;S6: store data and carry out remote monitoring.The application is measured by error model dynamic compensation, ultrasonic wave propagation characteristics and multi-sensor data fusion and intelligent algorithm optimization, significantly improve the accuracy of liquid level measurement, enhance environmental adaptability, reduce error.

The present application relates to detection equipment technical field, especially to a kind of solid sample detection device, it includes accurate liquid injection system, for accurately control the reagent injection amount of injection collection bottle or reaction tank;Accurate liquid injection system includes: infusion pipeline, first check valve, dosing pump, liquid injection needle, clean water pipeline, clean water bottle, clean water pump, first control valve and second check valve;When dosing pump stops working, first control valve recovers to the initial position of normal open under the action of its internal reset piece, and then connects the clean water pipeline;The clean water pump works, for pumping clean water in the clean water bottle into the first liquid path section, and then flushing first liquid path section, dosing pump and second liquid path section, and then pumping the reagent remaining in first liquid path section, dosing pump and second liquid path section into collection bottle or reaction tank by clean water pump.Prepare for subsequent other reagent pumping, avoid different reagents interfering and influencing each other, also ensure the accuracy of reagent input dose.