4results about How to "Good decision support" patented technology

The utility model relates to the technical field of drainage systems, in particular to a drainage system for a coal processing plant. Comprising a wastewater treatment unit, and further comprises a final treatment water outlet pool, a sampling detection unit, a diversion execution mechanism and a controller, the sampling detection unit comprises a sampling module and a water quality detection unit, and the final treatment pool is communicated with the wastewater treatment unit and used for storing treated coal processing wastewater; the sampling module is used for collecting a coal processing wastewater sample from a final treatment water outlet pool, the water quality detection unit is used for detecting water quality parameters in the coal processing wastewater sample, the shunting execution mechanism comprises a drainage electromagnetic valve and a reflux pump, a channel where the drainage electromagnetic valve is located is communicated with a drainage port, and a channel where the reflux pump is located is communicated with the wastewater treatment unit. The output end of the water quality detection unit is electrically connected with the input end of the controller, and the output end of the controller is electrically connected with the input ends of the drainage electromagnetic valve and the reflux pump.

The invention provides an intelligent feature evolution analysis method and system for a time sequence path, and relates to the technical field of feature evolution, and the method comprises the steps: obtaining time sequence path data, and carrying out the preprocessing to generate a standardized feature sequence; performing Monte Carlo sampling and transition probability matrix calculation to obtain a characteristic evolution strength index; setting an evaluation time window by adopting a beam search algorithm, calculating a stability score, and selecting an optimal path branch; and finally, determining an optimal characteristic evolution path based on a weighted combination of the evolution strength index and the stability score, and generating an analysis report. According to the method, the evolution law of key features in the time series data can be effectively identified, and the analysis accuracy and efficiency are improved.

This invention discloses a method and system for assessing diabetic foot based on plantar pressure, belonging to the field of gait and plantar pressure data analysis. The method includes: collecting plantar pressure data from subjects; analyzing and processing the collected plantar pressure data to extract original features related to foot lesions; enhancing and filtering the extracted original features to obtain feature data with high correlation to labels; classifying the obtained feature data into similar subdomain spaces using a multi-subdomain classification algorithm model; the subdomain spaces are multiple and are obtained by partitioning a single domain of a typical plantar pressure feature dataset feature space using a multi-subdomain partitioning method; and performing CPT / VPT regression prediction on the subject's feature data in the subdomain spaces to obtain assessment results. This invention, based on plantar pressure signals, can accurately and effectively assess diabetic foot and provide better decision support for clinicians, thereby improving the rehabilitation and treatment outcomes of diabetic patients.

This invention provides a method, apparatus, equipment, and medium for production prediction based on time-varying reservoir parameters. The method includes the following steps: S1, establishing a variable decline exponential production decline model for tight gas reservoir wells; S2, collecting historical gas production data of tight gas reservoir wells, and confirming the second undetermined characteristic parameter β and establishing a first linear model based on linear fitting of lnq and t / (lnt)β, wherein the slope of the first linear model is -α and the intercept is lnq. i Value; and S3, confirming the theoretical initial output q based on the first linear model. i The invention uses a first undetermined characteristic parameter α to predict gas well production using the variable decline exponent production decline model. This invention better reflects the production decline law of tight gas wells, is simple to operate, and has higher prediction accuracy than traditional decline models with a constant decline exponent. It can be widely used for production decline prediction in tight gas reservoirs.