21results about How to "Avoid Calculation Bias" patented technology

The invention discloses a roadway surrounding rock plastic zone solving method under the influence of repeated mining, and relates to the field of roadway surrounding rocks, and the method comprises the steps: obtaining rock mechanical parameters, roadway size parameters and three-dimensional stress values of roadway surrounding rocks under the influence of one-time mining; according to the obtained parameters, a roadway surrounding rock plastic zone boundary implicit equation under the influence of primary mining is obtained, and the size rho of a roadway surrounding rock plastic zone under the influence of primary mining is obtained through solving; the three-dimensional stress value of the roadway surrounding rock under the influence of repeated mining is obtained through field actual measurement; calculating a new radius of any point under the influence of repeated mining according to a roadway surrounding rock plastic zone boundary under the influence of primary mining; according to the new radius, a roadway surrounding rock plastic zone boundary implicit equation under the influence of repeated mining is obtained, and the size tau of a roadway surrounding rock plastic zone under the influence of repeated mining is obtained through solving. Aiming at the low solving precision of the roadway surrounding rock plastic zone under the influence of repeated mining in the prior art, the calculation precision is improved.

The invention provides a laser marking method for an ophthalmic surgical instrument, which comprises the following steps: (a) data acquisition: carrying out a preliminary laser marking experiment on the surface of a target material for the ophthalmic surgical instrument, and acquiring laser marking parameters and effect data corresponding to the marking parameters to obtain a marking data set; (b) data preprocessing: preprocessing the marking data set; the preprocessing comprises the steps of removing noise, filling missing values and mapping the marking data to the same scale by using Max-Min normalization; (c) neural network model establishment: setting parameters of a BP neural network to establish a BP neural network model; (d) training and optimizing: training the data obtained in the step (b) for multiple times by using the BP neural network model; and (e) parameter optimization and verification. The optimal parameter setting is determined after multiple times of training, the marking effect is ensured, meanwhile, the surface integrity of the instrument is protected to the maximum degree, and the marking precision is effectively improved.

The application discloses a kind of considering electric-thermal coupling feedback's DC cable parallel operation evaluation method and system, it is related to high voltage direct current transmission technical field, to solve the problems such as the distortion of current distribution calculation, the large deviation of temperature prediction, the low utilization rate of carrying capacity of existing technology in DC cable parallel, it includes obtaining the multi-source heterogeneous data of each parallel DC cable;Build DC resistance-temperature dynamic model, cable temperature distribution model based on equivalent thermal circuit method and the circuit constraint equation group of parallel DC cable system into electric-thermal coupling nonlinear equation group;Using improved Newton-Raphson method algorithm iteration solves electric-thermal coupling nonlinear equation group to obtain the conductor temperature of each DC cable, and according to its parallel operation state is evaluated to obtain evaluation result.The application can realize the accurate coupling calculation of parallel DC cable current distribution and temperature distribution, provide scientific basis for the design, operation and maintenance and expansion reconstruction of extra-high voltage direct current transmission project.

The application discloses a kind of virtual marshalling train's tracking operation safety protection method and system, it is related to urban rail transit management technical field.The application includes: obtaining the historical data feature set of leading train and the actual acceleration of leading train in the historical operation process of virtual marshalling train.The historical data feature set is input into acceleration prediction model, and the predicted acceleration of leading train is obtained.The error of the predicted acceleration of leading train and the actual acceleration of leading train is minimized as the goal, and the acceleration prediction model is trained, and the trained acceleration prediction model is obtained.Real-time data feature set is input into the trained acceleration prediction model, and the predicted acceleration and predicted speed of leading train at next time step are obtained, and then the safety protection distance between following train and leading train at next time step is obtained.The application can significantly improve the accuracy of safety protection distance, and guarantee the safe and efficient operation of virtual marshalling train.

This invention discloses a panoramic image stitching and restoration system and method based on feature matching, relating to the field of image processing technology. The system includes capturing images and collecting image capture information; numbering the images based on the collected image capture information; matching feature points of two adjacent numbered images to obtain image feature information; mapping the image numbers and image feature information to a Cartesian coordinate system in stages; setting a triple planning mechanism based on the staged mapping information; planning the image stitching order based on the triple planning mechanism; performing image stitching processing according to the planned image stitching order; and performing restoration processing on the stitched panoramic image. This achieves automated planning of the optimal image stitching order, reduces the accumulation of image stitching errors, and minimizes the impact of poor image stitching quality on subsequent image restoration effects.

The present application discloses a method for solving the plastic zone of tunnel surrounding rock under the influence of repeated mining, which relates to the field of tunnel surrounding rock, including: obtaining rock mechanics parameters, tunnel size parameters and three-dimensional stress values ​​of tunnel surrounding rock under the influence of one mining; obtaining implicit equations of the boundary of the plastic zone of tunnel surrounding rock under the influence of one mining according to the obtained parameters, and solving to obtain the plastic zone size ρ of the tunnel surrounding rock under the influence of one mining; obtaining the three-dimensional stress values ​​of tunnel surrounding rock under the influence of repeated mining through field measurements; calculating the new radius of any point under the influence of repeated mining according to the boundary of the plastic zone of tunnel surrounding rock under the influence of one mining; obtaining implicit equations of the boundary of the plastic zone of tunnel surrounding rock under the influence of repeated mining according to the new radius, and solving to obtain the plastic zone size τ of the tunnel surrounding rock under the influence of repeated mining. In view of the low accuracy of solving the plastic zone of tunnel surrounding rock under the influence of repeated mining in the prior art, the present application improves the calculation accuracy.

The invention relates to the technical field of semiconductor integrated circuit package testing, and discloses a method for calculating lead frame stepping parameters, which comprises the following steps of: 1, inputting parameters; 2, calculating the number of stepping columns of each unit; 3, calculating lndex and the total length of each unit; 4, the number of Index numbers / the number of stepping times is calculated; step 5, calculating a light index center (Right index center); step 6, calculating a Left index center (Left index center); step 7, calculating the Y (Front Center offset), and calculating the Y (Front Center offset); step 8, calculating # imgabs0 #; and step 9, outputting: # imgabs 1 #. According to the method, the calculation deviation caused by human factors is avoided through automatic calculation, so that the calculation of the stepping parameters is more reliable, the universality and flexibility of the method are improved, an existing manual calculation method is improved into the mode that the needed stepping parameters are obtained through automatic calculation by inputting part of parameters of the lead frame, and the calculation efficiency is improved. And the operation is simple.

The application is suitable for the field of data processing, and discloses a connecting flight account distribution and preferential return method of a MaaS travel service platform. The method performs connecting flight matching through the verification of the combination of time windows, geographic fences and travel modes, significantly improves the accuracy of connecting flight identification compared with single dimension identification, and provides reliable trip basis data for subsequent account distribution calculation; on this basis, the calculation of account distribution amount and preferential return amount is performed in linkage, so that the calculation basis of account distribution and return remains the same, thereby avoiding the calculation deviation of the two from the data source; through conditional payment linkage operation, the preferential distribution deduction of the service party and the passenger preferential return are executed as a linkage transaction, thereby realizing the atomic consistency of account distribution and return from the execution level.

The invention relates to the technical field of power equipment quality detection, and particularly discloses a power transmission line iron tower detection and quality management system. The system comprises a user authentication module, an authority management module, a detection plan management module, a sample information management module, a physical and chemical detection management module and a report generation module. Differentiated operation authorities are distributed to different user groups through an authority management module; creation, execution and state management of a detection plan are realized through a detection plan management module, and a sampling list and a detection entrance are automatically generated; complete sample data is forcibly recorded through the sample information management module so as to ensure data traceability; the detection data filling unit supports communication with external detection equipment so as to automatically collect and calculate data, supports multi-user collaborative editing and displays an editing state in real time; and finally, the report generation module automatically synthesizes various types of detection reports according to the template, so that the detection efficiency, the data accuracy and the management standardization are effectively improved.

The application relates to the technical field of sound source positioning, and discloses a sound source three-dimensional positioning system and method based on a binocular acoustic camera, wherein the positioning system comprises a first acoustic camera and a second acoustic camera, which are used for shooting the same sound source from different positions to obtain an acoustic image; an information processing system is in communication connection with the first acoustic camera and the second acoustic camera, is used for receiving and processing acoustic image data collected by the two acoustic cameras, and calculates the position coordinates of a sound source in a three-dimensional space based on the relative position relationship of the first acoustic camera and the second acoustic camera, a horizontal pixel path, a vertical pixel path and pixel coordinates of the sound source in the acoustic image of the first acoustic camera and the second acoustic camera. The application breaks through the limitation that a traditional single acoustic camera can only be two-dimensionally positioned, the acoustic images are collected by the two cameras from different positions, the information processing system constructs complete logic of multi-source data fusion-three-dimensional coordinate calculation, and a basic solution scheme is provided for complex three-dimensional space sound source positioning.

The invention provides an abnormity identification method and device for a current transformer, and the method comprises the steps: obtaining a secondary current instantaneous value sequence and a secondary voltage instantaneous value sequence of a secondary side of the current transformer through starting the abnormity identification of the current transformer; extracting a voltage fundamental component from the secondary voltage instantaneous value sequence, and dividing the secondary current instantaneous value sequence into a first current segment and a second current segment based on a zero crossing point of the voltage fundamental component; respectively calculating a first distortion characteristic value and a second distortion characteristic value of current waveforms in the first current segment and the second current segment relative to an ideal sine wave; and constructing a differential evolution sequence of the first distortion characteristic value and the second distortion characteristic value on a time axis, and further judging whether the iron core of the current transformer has asymmetric excitation abnormity or not based on the differential evolution sequence. According to the technical problem provided by the invention, the asymmetric excitation abnormity of the iron core of the current transformer can be accurately identified.

The invention relates to a fast frequency response system and method for a super-capacitor energy storage support power system, and the system comprises a power management unit which is disposed at a key hub point of a power grid and is used for collecting the frequency data of the power grid in real time; the regional inertia control center is connected with the power management unit and is used for calculating the frequency change rate of the power grid according to the collected frequency data of the power grid; the upstream of the control unit is connected with the regional inertia control center through an optical fiber channel, the downstream of the control unit is connected with a super-capacitor system, and the control unit is used for receiving the frequency change rate, issued by the regional inertia control center, of the power grid and calculating needed supporting power based on the frequency change rate of the power grid; and controlling the super capacitor energy storage system to work based on the required support power. According to the invention, local frequency and frequency change rate calculation deviation can be effectively avoided.

The present application belongs to the technical field of power system fault current limiting and switching device, and particularly relates to a method and system for analytically calculating the transient recovery voltage of a fast switch of a fault current limiter. By constructing an equivalent circuit of a power system configured with a fault current limiter under terminal fault, the time-domain characteristics of the transient recovery voltage after arc extinction of the fast switch are solved based on Kirchhoff's law; the Laplace transform is performed on the time-domain characteristics to obtain a frequency-domain expression; and the precise analytical calculation of the transient recovery voltage is completed through the inverse Laplace transform. The system is divided into three units corresponding to the equivalent circuit construction and time-domain characteristic calculation, the Laplace transform, the inverse Laplace transform and the transient recovery voltage calculation. The calculation model of the present application is consistent with the actual engineering scene, the analytical process is clear and rigorous, the randomness of faults and the differences in device characteristics can be fully reflected, the calculation accuracy is greatly improved, and the actual engineering needs for fault current limiter configuration and fast switch selection can be met.

The embodiment of the invention provides a system resource allocation method and device, equipment and a storage medium. The method comprises the following steps: acquiring resource utilization data of a system in a preset time window; wherein the resource utilization data represents the use condition of the system on the computer resources, and the preset time window comprises the current moment; according to the resource utilization data in the preset time window, adjusting the initial weight value corresponding to the preset dimension to obtain a target weight value corresponding to the preset dimension; wherein the preset dimension represents factors needing to be considered during resource allocation, and the initial weight value represents a weight value configured for the preset dimension in advance; determining a resource allocation instruction according to the resource utilization data at the current moment and the target weight value corresponding to each preset dimension; wherein the resource allocation instruction is used for indicating to schedule resources used by the system. By dynamically adjusting the weight, the resource scheduling efficiency is improved.

The invention relates to an energy state prediction method suitable for a complex configuration remote sensing satellite, and belongs to the technical field of spaceflight. Reading an incident angle theta of the solar panel; calculating the projection condition of the star on the solar panel; judging whether each battery string is shielded or not; screening out a single string of batteries which are not shielded; calculating the output power P < total > of all the unshielded battery strings of the solar panel; counting the load power Pload of the whole satellite; comparing the P < total > with the P < load >; budgeting time T1 required for completing charging of the storage battery in a period from the current moment to the earth shadow period entering moment; budgeting the time T2 required by the storage battery to reach the maximum discharge depth, and taking the time T2 as the boundary of the current task execution capability; the T2 is judged, and whether the star attitude needs to be adjusted or not is determined according to the judgment result; the power generation capacity and the load power consumption condition of the on-satellite energy system are calculated in real time through the satellite attitude and the satellite configuration, the satellite energy flow states under different tasks are verified through ground calculation, and refined energy management is achieved.

The utility model discloses a high-precision mold clamping force detection device, which belongs to the technical field of injection molding machine mold detection and comprises a supporting block, and a supporting assembly used for fixing and supporting is mounted on the supporting block. The supporting assembly comprises a first storage groove, a first groove hole, a rotating shaft and a telescopic rod, the first storage groove and the first groove hole are formed in the front and rear ends of a pair of supporting blocks at the upper and lower ends, the first groove hole is located in the left end of the first storage groove, the rotating shaft is rotationally connected into the first groove hole, and the telescopic rod is fixedly connected to the outer wall of the rotating shaft; a limiting device used for limiting and fixing is installed on the supporting assembly, and a vibration reduction assembly used for reducing vibration is installed on the supporting block. The supporting block is provided with a measuring assembly used for detection. Through the mode, the device is limited, so that the device is always kept in a vertical state during detection, and the deformation bending degree of the tie bar can be more accurately detected through vertical detection of the tie bar, so that the mold clamping force of the device is more accurately converted.

The application provides a horizontal retaining structure vertical bearing capacity analysis method, system, device and medium, relates to the foundation pit engineering and slope supporting technical field, and the method comprises the following steps: obtaining the earth pressure coefficient according to the soil body parameters of the upper and lower soil layers of the foundation pit excavation surface; determining the inflection point depth according to the earth pressure coefficient and combining the weighted average unit weight of the upper and lower soil layers of the foundation pit excavation surface respectively; dividing the support pile of the horizontal retaining structure according to the inflection point depth, determining the positive friction resistance area and the negative friction resistance area of the support pile, and obtaining the positive friction resistance of the positive friction resistance area and the negative friction resistance of the negative friction resistance area; determining the end resistance of the support pile according to the pile body diameter of the support pile and the end resistance characteristic value of the end soil layer of the support pile; and determining the vertical bearing capacity of the horizontal retaining structure according to the positive friction resistance and the negative friction resistance, and combining the end resistance. The application improves the analysis precision of the vertical bearing capacity of the horizontal retaining structure.

The invention discloses a three-dimensional heat transfer calculation method, device, equipment and medium for pulmonary alveoli in steam ablation, and relates to the technical field of three-dimensional biological heat transfer, the calculation method comprises the following steps: establishing an initial heat conduction equation of the pulmonary alveoli in a target lung segment, removing an airflow influence item in the initial heat conduction equation based on the actual condition of steam ablation, and calculating the initial heat conduction equation of the pulmonary alveoli in the target lung segment; the pulmonary alveoli is regarded as a spherical heat source, the heat conduction equation is solved, an analytical solution of the heat conduction equation is obtained, for any to-be-solved position point in the target lung segment, the distance from the to-be-solved position point to the pulmonary alveoli and the working time of steam ablation serve as input, and the temperature of the to-be-solved position point is calculated through the analytical solution; according to the method, three-dimensional biological heat transfer calculation of the pulmonary alveoli in steam ablation can be completed, and the calculation efficiency and the calculation precision are high.

This invention relates to the field of data processing technology and discloses a real-time data anomaly detection method integrating time series analysis. The method includes: acquiring a high-frequency target time series signal and a low-frequency operating condition feature vector; generating a synchronization operating condition vector using mask dimensionality reduction and zero-order preservation mechanisms; generating a steady-state and transient composite hash key through hash mapping and comparison; reconstructing the high-frequency signal and constructing a high-dimensional state trajectory matrix; determining the routing query key based on the hash key; extracting benchmark features from the dictionary when a match is found; performing regularization on the sample covariance matrix using a noise floor parameter; and projecting the sample onto the tangent space to calculate anomaly metrics for anomaly determination; and calculating incremental benchmark features and updating the dictionary when a match is not found and the physical continuity and manifold stability conditions are met. This invention solves the multi-rate data synchronization problem, reduces hardware noise interference and calculation errors in direct ranging in non-Euclidean geometric space, and enables online learning of new operating conditions without requiring system downtime for retraining.

This disclosure provides a performance evaluation method for the heat transfer protection effect of pipeline insulation coatings. By introducing an equivalent thermal conductivity model based on microporous structure, a more accurate characterization of the initial thermal insulation performance of the coating is achieved, overcoming the calculation bias caused by relying solely on the inherent thermal conductivity of the material. Secondly, by coupling a performance degradation factor, the model possesses dynamic prediction capabilities, accurately simulating the thermal insulation performance degradation law of the coating throughout its entire life cycle, providing crucial data support for pipeline energy efficiency assessment and preventive maintenance. Finally, by defining a comprehensive thermal protection effectiveness index as the optimization target and utilizing intelligent algorithms to back-optimize construction process parameters, this invention elevates traditional "experience-based design" to "precise optimization design based on performance prediction," thereby maximizing material cost savings, reducing energy consumption, and significantly improving the long-term safety and economy of pipeline systems while ensuring thermal protection effectiveness.

The invention relates to the technical field of intelligent control and Internet of Things, and discloses a natural language instruction analysis and structured execution method oriented to a complex equipment cluster, which comprises the following steps of: cleaning and spatially mapping original data of the equipment cluster, and constructing an equipment semantic vector index; analyzing the natural language instruction into a structured intermediate instruction by using a large language model; retrieving candidate equipment through a multi-level similarity matching and threshold screening mechanism; conflict resolution and deambiguity are carried out in combination with the batch processing identifier, and target equipment is determined; and generating and issuing a structured control instruction based on the equipment attribute, and performing consistency verification by using execution feedback. Through a multi-dimensional semantic alignment and cascade retrieval mechanism, the problems of spatial ambiguity and object confusion in a complex scene are solved, precise analysis of an unstructured instruction and closed-loop verification of physical control are realized, and the accuracy and reliability of operation are guaranteed.