11results about How to "Avoid Calculation Bias" patented technology

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 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 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 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 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.

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.