LU503784B1 - Analysis and evaluation system for engine quality based on big data - Google Patents
Analysis and evaluation system for engine quality based on big data Download PDFInfo
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Abstract
The invention provides an analysis and evaluation system for engine quality based on big data, comprising: a data acquisition module, which is used for acquiring basic engine information and classifying the basic engine information to obtain engine data; a data processing module, which is connected with the data acquisition module and used for performing mimetic processing on the engine data; a model building module, which is connected with the data processing module and used for building an engine evaluation and analysis model based on the engine mimicry data; an evaluation module, which is connected with the model building module and used for performing quality analysis and evaluation on the engine based on the engine evaluation analysis model. According to the invention, the twin model of the engine is built in real time through the digital twin technology, and the engine quality is analyzed through the twin model.
Description
DESCRIPTION LU503784
ANALYSIS AND EVALUATION SYSTEM FOR ENGINE QUALITY BASED ON BIG
DATA
The invention belongs to the field of intelligent analysis and evaluation, in particular to an analysis and evaluation system for engine quality based on big data.
The quality of the engine is closely related to the performance of the car. Engine quality accounts for a large proportion in the kerb quality of an automobile. Therefore, reducing the engine's mass has an important relationship with reducing the automobile's mass, realizing "lightweight" and improving the automobile's performance. Automobile engine is a machine that provides power for automobile, and it is the heart of automobile, which is related to the power, rationality and environmental protection of automobile.
According to different power sources, automobile engines can include diesel engines, gasoline engines, electric automobile engines and hybrid power.
At present, most of the engine quality analysis focuses on post-operation inspection, which can't determine the repair point when the engine needs maintenance or repair in real time, and can't control the overall maintenance of the engine. At the same time, maintaining an area that is weak in terms of engine structure itself but will not have a negative impact in the actual maintenance or maintenance process will have a very adverse impact on the control of engine maintenance cost, the shortening of maintenance cycle and the reduction of maintenance quality risk.
SUMMARY LU503784
The invention aims to provide an analysis and evaluation system for engine quality based on big data, so as to solve the problems existing in the prior art.
In order to achieve the above object, the present invention provides an analysis and evaluation system for engine quality based on big data, comprising: a data acquisition module, which is used for acquiring basic engine information and classifying the basic engine information to obtain engine data; a data processing module, which is connected with the data acquisition module and used for performing mimetic processing on the engine data to obtain engine mimetic data; a model building module, which is connected with the data processing module and used for building an engine evaluation and analysis model based on the engine mimicry data; an evaluation module, which is connected with the model building module and used for performing quality analysis and evaluation on the engine based on the engine evaluation analysis model.
Optionally, the data acquisition module comprises: an operation data acquisition submodule, which is used for acquiring standard operation data and actual operation data of the engine; a standard data acquisition submodule, which is used for acquiring engine factory parameters; a classification submodule, which is used for classifying the engine standard operation data, the actual operation data and the engine factory parameters to obtain the engine data.
Optionally, the engine data includes cylinder arrangement mode, engine cooling mode, engine displacement, engine power, engine torque, engine maximum power, engine maximum torque, carbon factor emission data, fuel or electricity consumption data and engine compression ratio data.
Optionally, the data processing module comprises:
an attribute extraction submodule, which is used for extracting attributes of tH&J503784 engine data to obtain attribute data; an engine analysis submodule, which is used for analyzing the attribute data to obtain analysis data; a processing submodule, which is used for performing three-dimensional simulation analysis processing on the analysis data to obtain the three-dimensional simulation data; a mimicry processing submodule, which is used for mimicry processing the three-dimensional simulation data to obtain the engine mimicry data.
Optionally, the model building module comprises: a frame construction submodule, which is used for constructing an engine model frame based on the engine mimicry data; a model building submodule, which is used for building an engine twin model on the engine model frame to obtain a twin model; an accuracy correction submodule, which is used for performing accuracy correction processing on the twin model through standard factory data to obtain the engine evaluation and analysis model.
Optionally, the frame building submodule comprises: a framework unit for constructing a model framework; a frame generating unit for constructing an engine model frame based on the engine mimicry data; a correction unit, which corrects the engine model framework based on real-time environmental parameters to obtain the engine model analysis framework.
Optionally, the evaluation module comprises: a real-time acquisition submodule, which is used for acquiring real-time operation data of that engine; an analysis and evaluation submodule, which is used for inputting the real-time operation data of the engine into the engine evaluation and analysis model for analysis and evaluation.
Optionally, the evaluation module obtains an analysis result after analyzing arld/503784 evaluating the quality of the engine, generates an engine maintenance scheme through the analysis result, and displays the engine maintenance scheme based on the priority.
The invention has the following technical effects. 1. According to the invention, the twin model of the engine is built in real time through the digital twin technology, and the engine quality is analyzed through the twin model, so that the accuracy is higher; 2. The evaluation result of this application is closer to the practical application, which is beneficial to control the maintenance cost of the engine, shorten the design cycle and reduce the design quality risk.
The accompanying drawings, which constitute a part of this application, are used to provide a further understanding of this application. The illustrative embodiments of this application and their descriptions are used to explain this application, and do not constitute an improper limitation of this application.
Fig. 1 is a schematic diagram of an analysis and evaluation system for engine quality in an embodiment of the present invention.
DESCRIPTION OF THE INVENTION LU503784
It should be noted that the embodiments in this application and the features in the embodiments can be combined with each other without conflict. The present application will be described in detail with reference to the attached drawings and examples.
Example 1
As shown in Fig. 1, the embodiment provides an analysis and evaluation system for engine quality based on big data, comprising: a data acquisition module, which is used for acquiring basic engine information and classifying the basic engine information to obtain engine data; a data processing module, which is connected with the data acquisition module and used for performing mimetic processing on the engine data to obtain engine mimetic data; a model building module, which is connected with the data processing module and used for building an engine evaluation and analysis model based on the engine mimicry data; an evaluation module, which is connected with the model building module and used for performing quality analysis and evaluation on the engine based on the engine evaluation analysis model.
Further, the data acquisition module comprises: an operation data acquisition submodule, which is used for acquiring standard operation data and actual operation data of the engine; a standard data acquisition submodule, which is used for acquiring engine factory parameters; a classification submodule, which is used for classifying the engine standard operation data, the actual operation data and the engine factory parameters to obtain the engine data.
Further, the engine data includes cylinder arrangement mode, engine cooling mode, engine displacement, engine power, engine torque, engine maximum power, engine maximum torque, carbon factor emission data, fuel or electricity consumption data arldJ503784 engine compression ratio data.
In this embodiment, the engine power directly represents the engine power, which is the product of the engine crankshaft speed and torque, and the unit is kW. Some imported cars give the power of the car in PS (horsepower). The conversion formula is
English horsepower hp=torque (kg-m) xengine speed (rpm)/727, and metric horsepower
PS=torque (kg-m)xengine speed (rpm)/716.
The power of the engine varies with the speed. The engine power has a maximum value, but it is at a certain speed, so when giving the maximum power of the engine, we must give its corresponding speed. For example, the maximum power of an engine is 210kKW/5400rpm, which means that the engine has a maximum power of 210kW at 5400 rpm.
In this embodiment, the maximum power and the maximum torque are the two most important technical parameters of the engine. Generally, the greater the compression ratio, the greater the engine displacement and the more valves per cylinder, the greater the maximum power and torque; turbocharging technology can significantly improve the maximum power and torque of the engine; under the same displacement, the maximum power and torque of diesel engine is greater than that of gasoline engine. The greater the maximum power of the engine, the better the power, the higher the maximum speed, and the greater the ability of the car to accelerate and climb the hill without shifting gears during driving. The greater the maximum torque of the engine, the greater the driving force it can generate, the stronger the auto start acceleration ability, the greater the gradient it can climb, and the better the passability on soft roads. An engine with turbocharging has a great torque in a large speed range, such as Bora 1.8T, and the maximum torque corresponds to the speed range of 1750 rpm to 4600 rpm, so it is full of power during use.
Further, the data processing module comprises: an attribute extraction submodule, which is used for extracting attributes of the engine data to obtain attribute data;
an engine analysis submodule, which is used for analyzing the attribute data tà/503784 obtain analysis data; a processing submodule, which is used for performing three-dimensional simulation analysis processing on the analysis data to obtain the three-dimensional simulation data; a mimicry processing submodule, which is used for mimicry processing the three-dimensional simulation data to obtain the engine mimicry data.
Further, the model building module comprises: a frame construction submodule, which is used for constructing an engine model frame based on the engine mimicry data; a model building submodule, which is used for building an engine twin model on the engine model frame to obtain a twin model; an accuracy correction submodule, which is used for performing accuracy correction processing on the twin model through standard factory data to obtain the engine evaluation and analysis model.
Further, the frame building submodule comprises: a framework unit for constructing a model framework; a frame generating unit for constructing an engine model frame based on the engine mimicry data; a correction unit, which corrects the engine model framework based on real-time environmental parameters to obtain the engine model analysis framework.
Further, the evaluation module comprises: a real-time acquisition submodule, which is used for acquiring real-time operation data of that engine; an analysis and evaluation submodule, which is used for inputting the real-time operation data of the engine into the engine evaluation and analysis model for analysis and evaluation.
Further, the evaluation module obtains an analysis result after analyzing and evaluating the quality of the engine, generates an engine maintenance scheme through the analysis result, and displays the engine maintenance scheme based on the priority.
The above is only the preferred embodiment of this application, but the protectid/503784 scope of this application is not limited to this.
Any change or replacement that can be easily thought of by a person familiar with this technical field within the technical scope disclosed in this application should be covered by this application.
Therefore, the protection scope of this application should be based on the protection scope of the claims.
Claims (8)
1. An analysis and evaluation system for engine quality based on big data, comprising: a data acquisition module, which is used for acquiring basic engine information and classifying the basic engine information to obtain engine data; a data processing module, which is connected with the data acquisition module and used for performing mimetic processing on the engine data to obtain engine mimetic data; a model building module, which is connected with the data processing module and used for building an engine evaluation and analysis model based on the engine mimicry data; an evaluation module, which is connected with the model building module and used for performing quality analysis and evaluation on the engine based on the engine evaluation analysis model.
2. The analysis and evaluation system for engine quality based on big data according to claim 1, wherein the data acquisition module comprises: an operation data acquisition submodule, which is used for acquiring standard operation data and actual operation data of the engine; a standard data acquisition submodule, which is used for acquiring engine factory parameters; a classification submodule, which is used for classifying the engine standard operation data, the actual operation data and the engine factory parameters to obtain the engine data.
3. The analysis and evaluation system for engine quality based on big datä/503784 according to claim 1, wherein the engine data include cylinder arrangement mode, engine cooling mode, engine displacement, engine power, engine torque, engine maximum power, engine maximum torque, carbon factor emission data, fuel or electricity consumption data and engine compression ratio data.
4. The analysis and evaluation system for engine quality based on big data according to claim 1, wherein the data processing module comprises: an attribute extraction submodule, which is used for extracting attributes of the engine data to obtain attribute data; an engine analysis submodule, which is used for analyzing the attribute data to obtain analysis data; a processing submodule, which is used for performing three-dimensional simulation analysis and processing on the analysis data to obtain the three-dimensional simulation data; a mimicry processing submodule, which is used for mimicry processing the three-dimensional simulation data to obtain the engine mimicry data.
5. The analysis and evaluation system for engine quality based on big data according to claim 1, wherein the model building module comprises: a frame construction submodule, which is used for constructing an engine model frame based on the engine mimicry data; a model building submodule, which is used for building an engine twin model on the engine model frame to obtain a twin model; an accuracy correction submodule, which is used for performing accuracy correction processing on the twin model through standard factory data to obtain the engine evaluation and analysis model.
6. The analysis and evaluation system for engine quality based on big datä/503784 according to claim 5, wherein the frame construction submodule comprises: a framework unit for constructing a model framework; a frame generating unit for constructing an engine model frame based on the engine mimicry data; a correction unit, which corrects the engine model framework based on real-time environmental parameters to obtain the engine model analysis framework.
7. The analysis and evaluation system for engine quality based on big data according to claim 1, wherein the evaluation module comprises: a real-time acquisition submodule, which is used for acquiring real-time operation data of the engine; an analysis and evaluation submodule, which is used for inputting the real-time operation data of the engine into the engine evaluation and analysis model for analysis and evaluation.
8. The analysis and evaluation system for engine quality based on big data according to claim 1, wherein the evaluation module obtains an analysis result after analyzing and evaluating the engine quality, generates an engine maintenance scheme through the analysis result, and displays the engine maintenance scheme based on the priority.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| LU503784A LU503784B1 (en) | 2023-03-30 | 2023-03-30 | Analysis and evaluation system for engine quality based on big data |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| LU503784A LU503784B1 (en) | 2023-03-30 | 2023-03-30 | Analysis and evaluation system for engine quality based on big data |
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| Publication Number | Publication Date |
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| LU503784B1 true LU503784B1 (en) | 2023-10-02 |
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| Application Number | Title | Priority Date | Filing Date |
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| LU503784A LU503784B1 (en) | 2023-03-30 | 2023-03-30 | Analysis and evaluation system for engine quality based on big data |
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| LU (1) | LU503784B1 (en) |
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2023
- 2023-03-30 LU LU503784A patent/LU503784B1/en active IP Right Grant
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