4results about How to "Improve the evaluation system" patented technology

This invention discloses a method for optimizing the allocation of urban street green space resources based on lidar, relating to the field of urban planning and management. The method includes: acquiring lidar point cloud data of a target urban street area, preprocessing and classifying it, and extracting vegetation point clouds representing street trees; calculating shape parameters reflecting the external characteristics of street trees, and quantity parameters reflecting the volume and visual greenness of the green space; constructing a comprehensive greening index reflecting the combined relationship between the shape and quantity parameters, and determining key thresholds for matching the shape and quantity parameters through a piecewise linear regression model; and based on the key thresholds, classifying each street within the target urban street area into different types, generating corresponding green space resource optimization allocation strategies. This method achieves collaborative analysis of the shape and quantity indicators of urban street greening, and, based on objective thresholds, classifies them to generate differentiated and human-centered green space resource optimization allocation strategies.

The application provides a kind of plane gate distributed corrosion monitoring system and the intensity evaluation method of gate local corrosion residual thickness, the corrosion monitoring system includes monitoring probe, signal cable, collector and industrial computer, the monitoring probe of the corrosion monitoring system is arranged at gate panel, main beam web and side beam position;In addition, the application also proposes the intensity evaluation method based on local corrosion based on distributed plane gate corrosion monitoring system, the corrosion depth of gate panel, main beam web, side beam obtained by monitoring, the gate structure model based on residual plate thickness is constructed, finite element numerical calculation is carried out, the stress and strain distribution of gate after corrosion occurs is obtained, and then the residual strength of gate is evaluated.The plane gate distributed corrosion monitoring system and the intensity evaluation method of gate local corrosion residual thickness proposed in the application can fill the lack of gate corrosion monitoring in water conservancy and hydropower engineering, and perfect the safety monitoring and evaluation system of gate structure.

The present application relates to the technical field of power consumption prediction, and particularly relates to a regional power consumption intelligent prediction method based on multi-source heterogeneous data, which comprises the following steps: determining the power consumption prediction influence tendency for the next preset monitoring period based on the power change characteristic value; when it is determined that the next preset monitoring period is a strong influence tendency for power consumption prediction, determining that the power consumption is corrected by the elastic influence weight coefficient, and determining whether the prediction for the power consumption is qualified based on the energy change characteristic value; when it is determined that the prediction for the power consumption is abnormal, correcting the prediction parameter for the power consumption in the next preset monitoring period based on the regional industry change quantitative value, including identifying the main analysis data set, determining whether to increase the model training set or separate the prediction model based on the period quantitative value of the main analysis data, and performing targeted analysis and prediction on the power consumption according to the specific situation of the power elasticity coefficient of the region to be predicted, thereby improving the prediction efficiency of the power consumption in the region.

The invention discloses a three-dimensional geologic structure modeling method and system based on SH-LDM and a medium, and relates to the technical field of deep learning and geologic modeling crossing, and the three-dimensional geologic structure modeling method based on SH-LDM mainly comprises the steps: carrying out the preprocessing of original data, and obtaining a training data set and a test data set; training the multi-branch self-encoding network by using the first-stage loss function, and training the multi-condition diffusion network by using the second-stage loss function; and according to soft data and hard data of a real scene, utilizing the trained multi-branch self-encoding network and the multi-condition diffusion network to obtain a three-dimensional geologic structure generation image. By implementing the SH-LDM-based three-dimensional geologic structure modeling method and system and the medium provided by the invention, high-precision and efficient modeling of a complex non-stationary underground structure can be realized.