Internet-of-things-based drainage valve optimization method

An optimization method and drainage valve technology, applied in the direction of neural learning methods, biological neural network models, network topology, etc., can solve problems such as difficulty in finding drain valve faults, lack of monitoring devices for drain valves, time-consuming and labor-intensive inspection of valves, etc., to achieve Optimize the opening time, protect the environment, and reduce the effect of gas consumption loss

Pending Publication Date: 2018-08-28
浙江中睿低碳科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Secondly, the drain valve lacks a monitoring device, and a factory is equipped with a large number of drain valves. It is time-consuming and laborious to inspect the valves, and it is difficult to find the fault of the drain valve, which leads to the valve being open all the time, resulting in energy waste.

Method used

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  • Internet-of-things-based drainage valve optimization method
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  • Internet-of-things-based drainage valve optimization method

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Embodiment

[0039] figure 1 Schematically provides a flow chart of an Internet of Things-based drain valve optimization method according to an embodiment of the present invention, as figure 1 As shown, the drain valve optimization method based on the Internet of Things comprises the following steps:

[0040] (A1) Use the wireless Zigbee Internet of Things to obtain the operating parameters of the drain valve, such as liquid level signal, valve opening time, ambient temperature, and ambient humidity;

[0041] (A2) Utilize the neural network algorithm to analyze the operating parameters, and extract the operating mode characteristic model of the drain valve; specifically:

[0042] The neural network training modeling process includes the following steps:

[0043] (B1) The relationship from the input layer to the hidden layer; the input layer includes: valve opening time, ambient temperature, and ambient humidity; the output layer includes: the liquid level of the drain valve; for the rela...

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Abstract

The invention provides an internet-of-things-based drainage valve optimization method. The internet-of-things-based drainage valve optimization method comprises: A1, acquiring operating parameters ofa drainage valve by monitoring an internet of things; A2, analyzing the operating parameters based on a neural network algorithm and extracting an operating mode feature model of the drainage valve; and A3, optimizing the operating mode feature model based on a genetic algorithm to obtain opening time of a valve. With the method provided by the invention, the gas consumption value is reduced.

Description

technical field [0001] The invention relates to a compressed air system and a steam system, in particular to an optimization method for a drain valve based on the Internet of Things. Background technique [0002] During the cooling process of compressed air or steam, a large amount of condensed water will be formed. If the condensate is not removed in time, it will exacerbate pipe corrosion and may even cause serious equipment failure. Specifically, condensate penetrating the various auxiliary parts of the equipment can cause process problems such as production line stoppages and product defects. For certain industries, such as pharmaceuticals, even tiny amounts of condensate can have significant effects on downstream processes and equipment. Therefore, it is critical to completely remove condensate from compressed air systems. [0003] Traditional drain valves include direct discharge, time control, and liquid level control. Straight drain means opening the drain valve ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04H04L29/08H04W84/18G06N3/08G06N3/12
CPCG06N3/084G06N3/126G06Q10/04H04L67/025H04L67/12H04W84/18
Inventor 唐志军
Owner 浙江中睿低碳科技有限公司
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