Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Tail gas after-treatment real-time monitoring system

A real-time monitoring system and tail gas post-treatment technology, applied in exhaust gas treatment, electronic control of exhaust gas treatment devices, diagnostic devices of exhaust gas treatment devices, etc., can solve the lack of drivers, serious problems of after-treatment systems, damage and other issues, to achieve the effect of large market potential, high practicability, and convenient installation

Pending Publication Date: 2022-01-18
移动源后处理技术(河南)研究院有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Oxidation Catalyst (DOC), Catalytic Particulate Filter (CDPF) and Selective Catalytic Reduction (SCR) have been widely used in the aftertreatment of diesel engine exhaust. A series of problems such as abnormal injection require real-time monitoring of the performance and status of the post-processing system, especially for the current modified vehicles. Many vehicles do not have an OBD system, and drivers lack the ability to grasp real-time post-processing information. , the failure to solve the problems in the processing system in time will lead to more serious problems in the after-processing system, until it is completely damaged, and may also affect driving safety

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
  • Tail gas after-treatment real-time monitoring system
  • Tail gas after-treatment real-time monitoring system
  • Tail gas after-treatment real-time monitoring system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] Such as figure 1 , figure 2 As shown, a real-time monitoring system for after-treatment of exhaust gas includes: sensor layer: responsible for collecting sensor signals, which are used as the basis for decision-making at the strategy layer;

[0062] Driver layer: used to ensure the stable transmission of signals at the hardware layer;

[0063] Signal processing layer: process digital signals and analog signals for use by the strategy layer;

[0064] CAN communication layer: ensure that signals are sent and received stably on the CAN bus;

[0065] Strategy layer: each decision-making module of DOC3, DPF6, and SCR11 uses a model-based method to realize the identification, feedback, and decision-making of the state of the post-processing system according to the signal of the sensor layer and the signal processed by the signal processing layer;

[0066] Wireless display screen: display real-time information, and alarm for abnormal information;

[0067] And ZigBee commu...

Embodiment 2

[0080] Such as Figure 4 As shown, in this embodiment, only DPF6-related faults are diagnosed, based on the carbon load calculation model, the loading process of DPF6 is discretized and summed, and the as a unit of time, The operating condition of the internal engine is regarded as unchanged, and the operating condition, fuel consumption, and exhaust flow of the engine are read at time T, and determined according to the emission universal characteristic curve. The original displacement of the engine particle within the time, according to the temperature difference between the first temperature sensor 2 and the second temperature sensor 4, the temperature difference between the third temperature sensor 8 and the fifth temperature sensor 18 and the basic parameters of the carrier, determine O 2 , NO 2 For the oxidation amount of particulate matter, find The amount of change in the carbon load over time, and finally the carbon load of the DPF is obtained by integrating the...

Embodiment 3

[0092] Such as Figure 5 As shown, in this embodiment, only the faults related to the urea tank 15 are diagnosed, and the PID-based closed-loop control strategy, the control principle is as shown in formula (2):

[0093] (2)

[0094] In the formula, is the proportional coefficient, is the integral coefficient, is the differential coefficient.

[0095] When the absolute value of the difference between the measured value of the third temperature sensor 8 and the measured value of the fifth temperature sensor 18 is greater than the threshold value of the temperature difference between the front and rear of the SCR11 catalytic converter, and the absolute value of the estimated residual error of the upstream temperature of the SCR11 catalytic converter is greater than the upstream temperature of the SCR11 catalytic converter When the residual threshold value is estimated, it is diagnosed that the third temperature sensor 8 upstream of the SCR11 catalytic converter is faul...

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 a tail gas after-treatment real-time monitoring system. The tail gas after-treatment real-time monitoring system comprises a sensor layer, a driving layer, a signal processing layer, a CAN communication layer, a strategy laye, a wireless display screen and a ZigBee communication protocol, wherein the sensor layer is responsible for acquiring sensor signals as a decision basis of the strategy layer, the driving layer is used for ensuring stable transmission of signals in a hardware layer, the signal processing layer is used for processing digital signals and analog signals for the strategy layer to use, the CAN communication layer is used for ensuring that signals are stably transmitted and received on a CAN bus, each decision module of DOC, DPF and SCR adopts a model-based method to realize recognition, feedback and decision of a post-processing system state according to the signals of the sensor layer and the signals processed by the signal processing layer, the wireless display screen is used for displaying real-time information and giving an alarm for abnormal information. According to the tail gas after-treatment real-time monitoring system, aiming at the post-processing transformation vehicle, especially the national III vehicle without a OBD system, the state of the post-processing system of the vehicle can be prompted in real time, and if a fault occurs, a driver can be prompted to carry out overhaul, maintenance, replacement and the like in time.

Description

technical field [0001] The invention relates to the field of diesel vehicle post-processing information systems, in particular to a real-time monitoring system for exhaust gas post-processing. Background technique [0002] Diesel engines have the characteristics of high thermal efficiency, good fuel economy, wide power coverage and good durability. They are widely used in transportation, construction machinery, agricultural machinery and ships. Diesel engines are mobile sources of NOx and particulate matter ( PM) emissions have become one of the main factors restricting its development, and urgently need to be addressed. [0003] Oxidation Catalyst (DOC), Catalytic Particulate Filter (CDPF) and Selective Catalytic Reduction (SCR) have been widely used in the aftertreatment of diesel engine exhaust. A series of problems such as abnormal injection require real-time monitoring of the performance and status of the post-processing system, especially for the current modified vehi...

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): F01N11/00F01N9/00
CPCF01N11/00F01N11/002F01N9/00F01N2900/04Y02A50/20Y02T10/40
Inventor 楼狄明康路路石健谭丕强张允华房亮
Owner 移动源后处理技术(河南)研究院有限公司
Features
  • Generate Ideas
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More