Intelligent printer work area air quality monitoring system based on machine learning

An intelligent monitoring system and air quality technology, applied in the direction of instruments, gas processing, measuring devices, etc., can solve the problems of high cost, large space occupation, poor processing effect, etc., to reduce energy consumption, reduce operating costs, and reduce the environment. The effect of pollution

Inactive Publication Date: 2018-09-11
沈耀梅 +2
View PDF5 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to provide an intelligent monitoring system for air quality in the working area of ​​a printing machine based on machine learning in order to overcome the above-mentioned technical problems of large space occupation, poor processi

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Intelligent printer work area air quality monitoring system based on machine learning
  • Intelligent printer work area air quality monitoring system based on machine learning
  • Intelligent printer work area air quality monitoring system based on machine learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] An intelligent monitoring system for air quality in the working area of ​​a printing press according to the present invention will be described in detail below with reference to the drawings and embodiments.

[0028] The smell that most people can smell in the printing workshop is mainly the harmful gas emitted by volatile substances such as ink during the transfer, debugging and heating process, collectively referred to as VOC (volatile organic compounds). This kind of gas is very different from the air pollution PM 2.5 we often say. PM 2.5 is mainly particle pollution of a certain diameter, while VOC refers to gas pollution.

[0029]The most effective way to eliminate volatile organic substances is source treatment, that is, do not use or use as little as possible of inks and other coatings containing VOC components, such as using some water-based inks, inks containing plant-based inks or UV inks, these inks contain VOCs The ingredients are very small, even so, harmfu...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to an intelligent printer work area air quality monitoring system based on machine learning. The monitoring system comprises gas monitors, a central controller, gas recycling devices, a purifier and a displayer, wherein the gas monitors and the gas recycling devices are distributed on harmful gas generating parts on a printer; the gas monitors are used for monitoring ingredients of harmful gas and concentration of all ingredients and generating ingredient data and concentration data; the gas recycling devices are used for collecting the harmful gas and conveying the harmful gas to the purifier; the purifier is used for purifying the harmful gas and exhausting the purified gas outwards; the central controller is used for receiving the ingredient data and the concentration data output by all the gas monitors; the data are analyzed to control all the gas recycling devices to be started, and data analyzing results are output to the displayer to be displayed. The system can ensure harmful gas generated by all the areas of the printer to be absorbed and purified to the maximum extent, further reduces energy consumption and reduces operation cost.

Description

technical field [0001] The invention relates to the technical field of equipment pollutant treatment, in particular to a machine learning-based intelligent monitoring system for air quality in the working area of ​​a printing machine. Background technique [0002] A printing machine is a mechanical device for printing text and images. Under the guidance of historical changes and market demand, modern printing machinery generally consists of a paper feeding device, a printing plate module, an ink delivery system, an embossing device, and a folding system. Each printing component They are constantly improving, from meeting basic functional requirements to adopting intelligent operation, and gradually adding new technologies to meet the needs of the times. The same as the principle of stamping, the printing machine is to transfer the required text or image to the required material in a mechanical form. With the advancement of technology, the current printed substrate can be pap...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G01N21/3504B01D53/30
CPCB01D53/30B01D2257/708G01N21/3504
Inventor 沈耀梅史秀娟张崇銮
Owner 沈耀梅
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap