CN112800595B - Detection method and system for combustion chamber processing parameters affecting emissions based on big data - Google Patents

Abstract

The invention discloses a method and a system for detecting the influence of combustion chamber processing parameters on emission based on big data, wherein the technical scheme is as follows: constructing a diesel engine combustion model, and selecting different piston combustion chamber processing parameters to perform simulation calculation to obtain a simulation result; analyzing the simulation result to obtain the rule of influence of the variation of each parameter on the consistency of the NOx emission; calculating a key parameter processing threshold according to the rule; and acquiring key processing parameter data, and determining a processing parameter distribution range by using a big data tool. The method comprises the steps of firstly constructing a diesel engine combustion model, calculating to obtain influence rules of all parameters on emission, processing collected processing data by combining a big data theory based on the emission rules to obtain a processing parameter tolerance threshold value, and detecting the processing quality of a diesel engine combustion chamber.

Description

Detection method and system for combustion chamber processing parameters affecting emissions based on big data

technical field

The invention relates to the technical field of diesel engines, in particular to a method and system for detecting the influence of combustion chamber processing parameters on emissions based on big data.

Background technique

The piston combustion chamber is an important part of the diesel engine. The piston combustion chamber has a direct impact on the power, economy and emissions of the diesel engine. At present, because the emission has entered the National VI stage, the NOx emission limit has been greatly reduced, and the sensitivity to emission fluctuations has increased. It is necessary to control the processing quality, improve the emission consistency, and enhance the competitiveness of products.

The inspection of diesel engine processing quality is mainly based on the design requirements, and the tolerance of the combustion chamber processing parameters is collected by means of measuring tolerance tools. The dimensional fluctuation caused by the tolerance of processing parameters may cause the diesel engine to exceed the emission limit, and the traditional tolerance range used to detect the processing quality cannot meet the emission consistency requirements.

SUMMARY OF THE INVENTION

In view of the deficiencies in the prior art, the purpose of the present invention is to provide a method and system for detecting the influence of combustion chamber processing parameters on emissions based on big data. According to the law, the collected processing data is processed in combination with the big data theory, and the processing parameter tolerance threshold is obtained, so as to detect the processing quality of the diesel engine combustion chamber.

In order to achieve the above object, the present invention is realized by the following technical solutions:

In a first aspect, embodiments of the present invention provide a method for detecting the impact of combustion chamber processing parameters on emissions based on big data, including:

Build a diesel engine combustion model, select different piston combustion chamber processing parameters for simulation calculation, and obtain simulation results;

The simulation results are analyzed to obtain the influence law of each parameter variation on the consistency of NOx emission; the processing threshold of key parameters is calculated according to the law;

Obtain key processing parameter data, and use big data tools to determine the distribution range of processing parameters.

As a further implementation method, the combustion simulation software is used to build a diesel engine combustion model, and an orthogonal test is designed for simulation calculation to obtain the variation law of diesel engine emissions under each parameter range.

As a further implementation method, the relationship between NOx emission and key parameters is obtained through the simulation results:

表示NOx排放量。Among them, a is the throat diameter, b is the diameter of the constriction, c is the depth of the combustion chamber,

Indicates NOx emissions.

As a further implementation, the key processing parameters include throat diameter, constriction diameter and combustion chamber depth.

As a further implementation method, the throat diameter, the diameter of the constriction and the depth of the combustion chamber are analyzed respectively by using big data tools, and it is obtained that the distribution law of the throat diameter satisfies the Weber distribution, the distribution law of the diameter of the constriction satisfies the triangular distribution, and the combustion chamber The distribution law of the depth satisfies the trapezoidal distribution.

As a further realization method, it can be seen from the analysis that the final generation amount of NOx has a quadratic function relationship with the throat diameter of the combustion chamber; within the tolerance range of the processing parameters, the emission of NOx is positively correlated with the depth of the combustion chamber.

As a further realization method, calculated according to the diesel engine emission limit, the throat diameter should be larger than the minimum size corresponding to the NOx emission limit, and smaller than the maximum tolerance required for processing; the diameter of the constriction meets the emission requirements; the depth of the combustion chamber should be greater than the minimum processing requirement Tolerance, less than the maximum dimension corresponding to the NOx emission limit.

In a second aspect, an embodiment of the present invention also provides a system for detecting the processing quality of a diesel engine combustion chamber based on big data analysis, including:

The combustion model building module is configured to: build a diesel engine combustion model, select different piston combustion chamber processing parameters for simulation calculation, and obtain simulation results;

The processing threshold calculation module is configured to: analyze the simulation results to obtain the influence rule of each parameter variation on the NOx emission consistency; calculate the processing threshold of key parameters according to the rule;

The distribution threshold calculation module is configured to: obtain key processing parameter data, and use big data tools to determine the processing parameter distribution range.

In a third aspect, an embodiment of the present invention further provides an electronic device, including a memory, a processor, and a computer program stored in the memory and running on the processor, where the processor implements the described program when the processor executes the program. Detection method of combustion chamber processing parameters affecting emissions based on big data.

In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, implements the big data-based method for detecting the impact of combustion chamber processing parameters on emissions .

The beneficial effects of the above embodiments of the present invention are as follows:

One or more embodiments of the present invention use combustion simulation software to build a diesel engine combustion model, perform regression analysis on the simulation results to obtain the variation law between NOx emissions and various parameters, and then calculate and obtain the NOx emission consistency according to the National VI NOx emission requirements. The required thresholds of each processing parameter;

One or more embodiments of the present invention select the throat diameter, the diameter of the constriction, and the depth of the combustion chamber as key parameters, and use big data tools to analyze the key parameters to obtain the distribution range of the processing parameters; in the diesel engine piston combustion chamber, the tolerance of the processing parameters is met; At the same time, it also needs to meet the requirements of NOx emission consistency for the fluctuation of processing parameters, that is, the fluctuation threshold, thereby improving the detection accuracy.

Description of drawings

The accompanying drawings forming a part of the present invention are used to provide further understanding of the present invention, and the exemplary embodiments of the present invention and their descriptions are used to explain the present invention, and do not constitute an improper limitation of the present invention.

1 is a flow diagram of the present invention according to one or more embodiments;

Fig. 2 is the distribution law diagram of throat diameter according to one or more embodiments of the present invention;

Fig. 3 is the diameter distribution law diagram of the constriction according to one or more embodiments of the present invention;

FIG. 4 is a graph of the distribution law of the depth of the combustion chamber according to one or more embodiments of the present invention.

Detailed ways

It should be noted that the following detailed description is exemplary and intended to provide further explanation of the application. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

It should be noted that the terminology used herein is for the purpose of describing specific embodiments only, and is not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural as well, furthermore, it is to be understood that when the terms "comprising" and/or "including" are used in this specification, it indicates that There are features, steps, operations, devices, components and/or combinations thereof.

Example 1:

This embodiment provides a method for detecting the influence of combustion chamber processing parameters on emissions based on big data, which can analyze the influence of changes in diesel engine piston combustion chamber processing parameters on the consistency of NOx emissions, as shown in FIG. 1 , including:

Build a diesel engine combustion model, select different piston combustion chamber processing parameters for simulation calculation, and obtain simulation results;

The simulation results are analyzed to obtain the influence law of each parameter variation on the consistency of NOx emission; the processing threshold of key parameters is calculated according to the law;

Obtain key processing parameter data, and use big data tools to determine the distribution range of processing parameters.

Further, the key parameters (throat diameter, constriction diameter and combustion chamber depth) in the process of combustion chamber processing are firstly selected, and combustion simulation software is used to build a diesel engine combustion model; Then, according to the NOx emission requirements of China VI, the thresholds of various processing parameters that meet the requirements of NOx emission consistency are calculated.

Wherein, in this embodiment, the combustion simulation software may be converge simulation software; of course, in other embodiments, the combustion simulation software may also be other software capable of modeling combustion chambers, which may be selected according to actual requirements .

Afterwards, a measurement tool (such as a spiral micrometer) for measuring the tolerance of combustion chamber parameters is used to collect the processing data of key parameters of the diesel engine combustion chamber, and the corresponding distribution law is obtained according to the theoretical analysis of big data, so as to calculate the distribution range of each parameter, which meets the requirements of National VI. Threshold ranges for key parameters of diesel piston combustion chambers for NOx emission consistency.

Specifically, orthogonal simulation tests are performed on the throat diameter, the diameter of the constriction and the depth of the combustion chamber, and the simulation results are analyzed to obtain the relationship between NOx emission and three key parameters:

为NOx排放量，单位：mg。Among them, variable a is the throat diameter, unit: mm; b is the diameter of the constriction, unit: mm; c combustion chamber depth, unit: mm;

is NOx emission, unit: mg.

Using the big data theory to analyze the throat diameter, the distribution is shown in Figure 2. The distribution is a Weber distribution. The shape parameter of the function is 75.025, and the scale parameter is 2599.08. The Weber distribution function formula is as follows:

Where a is the throat diameter, unit: mm; f(a) is the frequency.

In the process of processing, the collected processing test data is concentrated in a certain range, and this range is the best range for processing; beyond this range, the processing data will be too large or the processing data will be too small. There are certain problems with the processing quality.

After analyzing the equation, it can be seen that the final generation amount of NOx in the cylinder has a quadratic function relationship with the throat diameter of the combustion chamber. Within the range of processing parameters, the amount of NOx decreases with the increase of the throat diameter; in the emission limit regulations When the NOx limit is 3.4mg, the calculated throat diameter should be greater than 74.92mm. Therefore, when testing the processing quality, the throat diameter should be larger than the 74.92mm required for the discharge threshold, and smaller than the maximum 75.1mm required for the processing.

Using big data theory to analyze the diameter of the shrinkage, the distribution is shown in Figure 3. According to the distribution, it can be seen that the number of processing parameters of the shrinkage diameter is basically the same at the larger and smaller values. According to the diameter distribution of the shrinkage, the triangular distribution function is selected for processing, and the distribution formula is obtained as:

Where b is the diameter of the shrinkage, unit: mm; f(b) is the frequency.

The diameter of the shrinkage is concentrated in the vicinity of the standard size. In order to determine the optimal range of processing parameters, it can be obtained according to the law of the diameter of the shrinkage. The diameter of the shrinkage is within the fluctuation range of 64.36mm-61.56mm, and the amount of NOx generation is increasing. The regression of NOx The predicted maximum generation amount is in the range of 3.4 mg, that is, the fluctuation of NOx with the diameter of the shrinkage meets the test requirements.

Using the big data theory to analyze the depth of the combustion chamber, the distribution is shown in Figure 4. According to the distribution of the depth of the combustion chamber, the trapezoidal distribution is selected for processing, and the formula for the depth distribution of the combustion chamber is obtained:

Where c is the depth of the combustion chamber, unit: mm; f(c) is the frequency.

The analytical equation shows that within the tolerance range of the processing parameters, the NOx emission is positively correlated with the depth of the combustion chamber. Under the condition that the NOx limit specified by the emission limit is 3.4 mg, the calculated depth of the combustion chamber should be less than 19.3 mm. Therefore, the depth of the combustion chamber should be greater than the minimum 19.23mm required for processing and less than 19.3mm required by the emission threshold.

The collected throat diameter, constriction diameter and combustion chamber depth data are processed according to the equation and big data theory. When testing the processing quality, the diameter of the throat should be greater than 74.92mm and less than 75.1mm, and the depth of the combustion chamber should be greater than 19.23mm and less than 19.3mm.

Embodiment 2:

This embodiment provides a diesel engine combustion chamber processing quality detection system based on big data analysis, including:

The combustion model building module is configured to: build a diesel engine combustion model, select different piston combustion chamber processing parameters for simulation calculation, and obtain simulation results;

The processing threshold calculation module is configured to: analyze the simulation results to obtain the influence rule of each parameter variation on the NOx emission consistency; calculate the processing threshold of key parameters according to the rule;

The distribution threshold calculation module is configured to: obtain key processing parameter data, and use big data tools to determine the processing parameter distribution range.

Embodiment three:

This embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and running on the processor, the processor implements the big data-based combustion chamber when the processor executes the program Processing parameters affect emission detection methods.

Embodiment 4:

This embodiment provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, implements the big data-based method for detecting the impact of combustion chamber processing parameters on emissions.

The steps involved in the above Embodiments 2-4 correspond to the method Embodiment 1, and the specific implementation can refer to the relevant description part of Embodiment 1. The term "computer-readable storage medium" should be understood to include a single medium or multiple media including one or more sets of instructions; it should also be understood to include any medium capable of storing, encoding or carrying for use by a processor The executed instruction set causes the processor to perform any of the methods of the present invention.

Those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general-purpose computer device, or alternatively, they can be implemented by a program code executable by the computing device, so that they can be stored in a storage device. The device is executed by a computing device, or they are separately fabricated into individual integrated circuit modules, or multiple modules or steps in them are fabricated into a single integrated circuit module for implementation. The present invention is not limited to any specific combination of hardware and software.

The above descriptions are only preferred embodiments of the present application, and are not intended to limit the present application. For those skilled in the art, the present application may have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this application shall be included within the protection scope of this application.

Claims (9)

1. The detection method based on the influence of the combustion chamber processing parameters on the emission of big data is characterized in that, comprising: Build a diesel engine combustion model, select different piston combustion chamber processing parameters for simulation calculation, and obtain simulation results; The simulation results are analyzed to obtain the influence law of each parameter change on the consistency of NOx emission; the processing parameter threshold is calculated according to the law and the NOx emission limit; The processing parameter data is obtained, and a big data tool is used to determine the processing parameter distribution range; the processing parameters need to satisfy the processing parameter threshold and the processing parameter distribution range at the same time, so as to detect the processing quality of the diesel engine combustion chamber. 2. the detection method that the combustion chamber processing parameter based on big data according to claim 1 affects discharge, it is characterized in that, utilize combustion simulation software to build diesel engine combustion model, design orthogonal test to carry out simulation calculation, obtain diesel engine under each parameter range Changes in emissions. 3. the detection method that the combustion chamber processing parameter influences discharge based on big data according to claim 2, is characterized in that, obtains the relation between NOx emission and processing parameter by simulation result: y _NOx = 28.534-0.0053a ² +0.000052abc Among them, a represents the throat diameter, b represents the diameter of the constriction, c represents the depth of the combustion chamber, and y _NOx represents the NOx emission. 4. the detection method that the combustion chamber processing parameter influence discharge based on big data according to claim 3 is characterized in that, utilize big data tool to analyze throat diameter, constriction diameter and combustion chamber depth respectively, obtain: The distribution law of the port diameter satisfies the Weber distribution, the distribution law of the diameter at the constriction satisfies the triangular distribution, and the distribution law of the combustion chamber depth satisfies the trapezoidal distribution. 5. The detection method based on big data of combustion chamber processing parameters affecting emission according to claim 4, characterized in that, obtained through analysis, the final generation amount of NOx and the combustion chamber throat diameter have a quadratic function relationship; Within the tolerance range of processing parameters, that is, the distribution range of processing parameters, NOx emission is positively correlated with the depth of the combustion chamber. 6. The detection method based on the big data-based combustion chamber processing parameter affecting emission, it is characterized in that, calculated according to the diesel engine emission limit, the throat diameter should be larger than the minimum size corresponding to the NOx emission limit, smaller than the processing The maximum tolerance required; the diameter of the constriction meets the emission requirements; the depth of the combustion chamber should be greater than the minimum tolerance required for processing and smaller than the maximum size corresponding to the NOx emission limit. 7. The diesel engine combustion chamber processing quality detection system based on big data analysis is characterized in that, comprising: The combustion model building module is configured to: build a diesel engine combustion model, select different piston combustion chamber processing parameters for simulation calculation, and obtain simulation results; The processing threshold calculation module is configured to: analyze the simulation results to obtain the influence rule of each parameter variation on the NOx emission consistency; calculate the processing parameter threshold according to the rule and the NOx emission limit; The distribution threshold value calculation module is configured to: obtain processing parameter data, and use big data tools to determine the processing parameter distribution range; the processing parameters need to satisfy the processing parameter threshold value and the processing parameter distribution range at the same time, so as to improve the processing quality of the diesel engine combustion chamber. test. 8. An electronic device comprising a memory, a processor and a computer program stored on the memory and running on the processor, wherein the processor implements any one of claims 1-6 when the processor executes the program The method for detecting the effect of combustion chamber processing parameters on emissions based on big data. 9. A computer-readable storage medium on which a computer program is stored, characterized in that, when the program is executed by a processor, the big data-based combustion chamber processing parameter influence as claimed in any one of claims 1-6 is realized Methods of detection of emissions.

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