Big data analysis method and system applying industrial mathematical statistics

Abstract

The invention relates to a big data analysis method and system applying industrial mathematical statistics. The big data analysis method comprises the steps of monitoring and managing valve connection, the big data platform comprises a system management presentation layer which comprises a computer end, and a system administrator logs in the computer end for monitoring to realize remote monitoring; a system management module comprises configuration management for configuring different system specifications according to requirements; fault management is included, wherein the system is providedwith a fault self-checking module and an alarm module according to different faults; a performance management module is used for adjusting the computer performance according to system requirements; asystem application layer comprises a data analysis module for receiving acquired data and performing data analysis based on a computer processor; a fault diagnosis module is used for analyzing outputdata according to the data and comparing the output data with preset data to analyze valve fault factors; an operation quality analysis module is used for analyzing valve fault factors according to the output indexes; the system is reasonable in design, compact in structure and convenient to use.

Description

technical field [0001] The invention relates to a big data analysis method and system applying industrial mathematical statistics, and in particular to the industrial application of big data in the field of valve assembly and manufacturing. Background technique [0002] With the industrial impact of 5G, how to apply big data to industry has become an urgent technical problem to be solved. To achieve continuous improvement, customized management, and real-time data feedback, as a reference for monitoring and design improvement has become an urgent technical problem to be solved. The artificial neural network does not need to determine the mathematical equation of the mapping relationship between input and output in advance, but only learns certain rules through its own training, and obtains the result closest to the expected output value when the input value is given. As an intelligent information processing system, the core of artificial neural network to realize its functio...

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Problems solved by technology

[0003] An intelligent control system and method for water injection with dual-pump joint control in a water injection station cannot realize linkage feedback control

CN200920289468.1 An electromechanical joint control condensate water automatic pump core, CN201710569955.2 An intelligent joint control device for sewage pipeline pumps and valves. Although the control is realized, when there is a problem with the circuit, failure will occur, and it is not suitable for places such as the field Delivery and Control

The valve body is a three-way structure, and the water inlet

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