3results about How to "Comprehensive evaluation indicators" patented technology

This invention provides an intelligent evaluation method for rockburst hazard at working faces based on principal component analysis-probabilistic neural networks, belonging to the field of rockburst hazard evaluation technology. An evaluation index system is established and data is collected by combining rockburst hazard influencing factors, drill cuttings monitoring, critical stress index monitoring, and actual field conditions. Principal component analysis (PCA) is used to simplify the original evaluation index data, resulting in comprehensive evaluation index data containing information from the original evaluation indicators. The comprehensive evaluation index data is divided into a training set and a test set. A probabilistic neural network (PNN) is used to train the evaluation model on the data in the training set, and then the performance of the evaluation model is tested using data from the test set, and its accuracy is calculated. If the accuracy is greater than or equal to 90%, the evaluation model is considered acceptable; if the accuracy is less than 90%, it is considered unacceptable, and the PNN's smoothing factor needs to be modified and retrained until the accuracy of the evaluation result meets the set value.

The application provides a HPLC fingerprint spectrum and multi-index component content determination method of Qiling Fuzheng Qingjie granules. The method optimizes the preparation process of the test sample through single factor test, systematically screens the chromatographic conditions, establishes the HPLC fingerprint spectrum of 15 batches of samples, calibrates 43 common peaks and completes the attribution identification of medicinal materials; meanwhile, the method establishes a synchronous content determination method of 17 kinds of components including flavonoids, phenolic acids, triterpenes and other kinds of components, and through complete methodology verification, all indexes meet the requirements of the quality analysis methodology of traditional Chinese medicines, so that the quality of Qiling Fuzheng Qingjie granules can be comprehensively and effectively controlled. The application has the characteristics of high analysis efficiency, simple and easy method, strong specificity and the like, and can provide technical support for the quality control of Qiling Fuzheng Qingjie granules.

The resource allocation method and device, electronic equipment and medium provided by the application include: obtaining evaluation values of evaluation indexes of current tasks and total resources of an edge server, wherein the evaluation indexes include calculation value, transmission delay, calculation time and energy consumption, determining current weights of the evaluation indexes, and for each task, calculating a weight of each task according to the weights of the evaluation indexes, the evaluation value of each evaluation index of the task and the sum of the evaluation values of each evaluation index of the tasks, and then allocating resources of the edge server to the tasks according to the weights of the tasks and the total resources of the edge server. The scheme can reasonably allocate resources of the edge server.