3 results about "Wavelet transform analysis" patented technology

The application relates to the technical field of mechanical processing control, and discloses an alloy saw blade production and processing automatic control method and system.The method comprises the following steps: determining abnormal frequency distribution by acquiring an original vibration signal and converting the original vibration signal into a frequency domain spectrum; extracting a feature vector and determining an abnormal separation vector when an energy proportion exceeds a limit; calculating the deviation of the feature vector from a normal mode by using a support vector machine, combining a fault mechanism topology graph to determine a coupling influence index; adjusting the rotating speed and the feed amount according to a leading abnormal source and a machine tool stiffness characteristic to determine an adjustment scheme and update equipment control instructions; and adopting wavelet transform to analyze signal multi-scale components, and realizing minimum coupling influence control of the whole intermittent cutting process through an iterative optimization cycle condition. The method can solve the problem of low early abnormal identification precision in the prior art.

This invention relates to a method for monitoring and evaluating the utilization rate of urban public service facilities, comprising: acquiring nighttime light satellite data, GIS data, POI data, and EVI data of the study area; extracting the spatial range of urban public service facilities based on the GIS data and POI data, and delineating an external buffer zone for the spatial range of urban public service facilities; calculating the time-series data of the difference in nighttime light intensity between the spatial range of urban public service facilities and the corresponding external buffer zone; analyzing the time-frequency characteristics of the difference time-series data using a three-level discrete wavelet transform based on the Haar function to obtain the residual sequence and high-frequency detail sequence of the nighttime light intensity difference time-series data; identifying outliers in the residual sequence and high-frequency detail sequence located outside a preset confidence interval, thereby achieving monitoring of abnormal use of urban public service facilities. This invention significantly reduces monitoring costs while improving monitoring accuracy and real-time performance, achieving efficient and automated monitoring of the utilization rate of urban public service facilities.

The present application belongs to the field of medical and health informatization technology, and discloses an infectious disease prevention and control big data AI resource scheduling system and method; by constructing a load temperature field model of a computing power node cluster, the node load intensity is mapped to a temperature distribution, and the temperature gradient between adjacent nodes is calculated to identify hot and cold node pairs. Based on the data dependency topology, the energy consumption cost and time delay penalty of task migration are analyzed, and a multi-path heat diffusion network is constructed combined with the temperature gradient to realize the optimized shunting of tasks from hot spots to multiple cold nodes. The system analyzes the periodic fluctuations and sudden peak characteristics of resource occupation through wavelet transform, dynamically adjusts the task decomposition granularity and load distribution weight, and adapts to changes in resource usage patterns. The present application realizes global heat balance and efficient utilization of computing power resources in epidemic analysis, improves computing efficiency, and enhances the system's ability to respond to sudden computing demands.