4results about How to "Accurate service" patented technology

A computer-implemented method for determining one or more application-specific control parameters of a pump operating in a system for moving a fluid, the method comprising: monitoring one or more operational variables of the pump during operation of the pump in said system; applying a trained machine-learning model to automatically determine an application type from the monitored operational variables, the application type representing a type of system the pump operates in and / or representing a type of operation performed by the pump when operating in said system, each application type being associated with a respective set of one or more application-specific control parameters; controlling the pump based on the set of one or more application-specific control parameters associated with the determined application type.

The present application provides a kind of multi-source data fusion sea fog detection method, comprising the following steps: comprising the following steps: S1: obtaining the multi-source data for data fusion;S2: the quality control, spatial interpolation and deviation correction processing to the multi-source data obtained in S1, obtain sea fog range data;S3: check sea fog range data, identify the consistency of sea fog range data, and correct sea fog range data;S4: calculate the sea fog detection rate of sea fog range data, with sea fog detection rate as fusion weight, generate sea fog range fusion data;S5: using the data after S4 processing, divide fog grade for sea fog range fusion data, generate specified spatiotemporal resolution multi-source sea fog fusion live data.The present application has beneficial effects: solve the deficiencies that the existing sea fog detection technology cannot be considered in space coverage, data accuracy and multi-layer cloud fog condition applicability, etc., provide high-quality live data for the monitoring and early warning of sea fog, forecast verification, marine disaster prevention and mitigation.

The invention discloses an intelligent fuel gas quality inspection method and device based on vector matching and a dynamic rule engine. The method comprises the steps that data preprocessing is conducted through audio and text cleaning; setting a vectorization and semantic understanding layer for converting the preprocessed text into a high latitude vector; setting a configurable quality inspection rule engine which is used for realizing four layers of configurable quality inspection rule engines of quality inspection operators, quality inspection conditions, quality inspection rules and quality inspection tasks; and a decision and feedback layer is arranged and used for correcting error data in a manual rechecking mode. Vector matching is carried out based on an M3E-Base text embedding model, and quality inspection operators, conditions, tasks and rules which can be dynamically configured are combined. By fusing an advanced semantic understanding technology and a configurable quality inspection rule engine, gas customer service quality management is promoted to evolve towards automation, intellectualization and precision, and powerful technical support is provided for safe operation and excellent service of gas enterprises.

This invention relates to the field of materials determination technology, and discloses a method for detecting the titanium content in a titanium-containing reagent and a method for detecting the titanium content in a polyolefin catalyst. The method includes the following steps: (1) under an inert gas protective environment, the titanium-containing reagent is acid-hydrolyzed and reduced to obtain a trivalent titanium ion sample solution; (2) under an inert gas protective environment, ferric ammonium sulfate solution is added dropwise to the sample solution, and the potential is tested using a redox electrode during the addition process. The titration endpoint is determined based on the redox electrode potential threshold, and the titanium content is calculated based on the amount of ferric ammonium sulfate solution added at the titration endpoint. This detection method is green and environmentally friendly, and improves the accuracy of the detection results while reducing the detection cost.