CN110955949A - Engine data processing method, device and equipment - Google Patents

Engine data processing method, device and equipment Download PDF

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CN110955949A
CN110955949A CN201811118882.6A CN201811118882A CN110955949A CN 110955949 A CN110955949 A CN 110955949A CN 201811118882 A CN201811118882 A CN 201811118882A CN 110955949 A CN110955949 A CN 110955949A
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characteristic curve
universal characteristic
image
engine
universal
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陆生辉
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Beijing Gridsum Technology Co Ltd
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Beijing Gridsum Technology Co Ltd
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Abstract

The invention provides a method, a device and equipment for processing engine data, wherein the method comprises the following steps: acquiring a universal characteristic curve graph, wherein the universal characteristic curve graph is divided into a plurality of areas according to contour lines, and different areas are provided with different colors; determining a coordinate conversion relation between an image coordinate system of the all characteristic curve graph and an all characteristic coordinate system; determining the image pixel coordinates of the engine working condition data in the universal characteristic curve graph according to the coordinate conversion relation and the universal characteristic coordinates of the engine working condition data in the universal characteristic curve graph; and determining the region of the engine working condition data in the universal characteristic curve graph according to the read color values of the image pixel coordinates. According to the technical scheme provided by the invention, the region of the working condition data of the engine in the universal characteristic curve graph can be quickly and efficiently determined; and the calculation accuracy can be improved.

Description

Engine data processing method, device and equipment
Technical Field
The invention relates to the technical field of data processing, in particular to a method, a device and equipment for processing engine data.
Background
The engine performance is shown comprehensively by adopting a multi-parameter characteristic curve on a graph, and usually, a plurality of equal fuel consumption rate curves and equal power curves are drawn on the graph by taking the rotating speed as an abscissa and taking the torque or the average effective pressure as an ordinate. For automobile manufacturers, the method has great significance for further improvement of engine performance and guidance of users to save oil and the like by researching the distribution condition of engine working condition data (rotating speed, torque or average effective pressure) in a universal characteristic curve chart in the driving process of the users.
At present, when the distribution condition of the engine working condition data in the universal characteristic curve graph is counted, a more common method is to sample distribution points on contour lines (for example, equal fuel consumption rate lines) by an image processing method, then fit the sampling points through mathematical modeling, simulate a mathematical function of each contour line on the universal characteristic curve graph, and finally substitute the collected user engine working condition data into the simulated mathematical function, so as to know which region of the universal characteristic curve graph the engine working condition data is located in.
However, the mathematical function simulated by the above method has high complexity and accuracy greatly affected by the sampling point, so the calculation efficiency is low and the accuracy is limited.
Disclosure of Invention
In view of the above, the present invention provides an engine data processing method, apparatus and device, which are used to improve the calculation efficiency and accuracy when counting the distribution of engine operating condition data in the universal characteristic curve.
In order to achieve the above object, in a first aspect, an embodiment of the present invention provides an engine data processing method, including:
acquiring a universal characteristic curve graph, wherein the universal characteristic curve graph is divided into a plurality of areas according to contour lines, and different areas are provided with different colors;
determining a coordinate conversion relation between an image coordinate system of the all characteristic curve graph and an all characteristic coordinate system;
determining the image pixel coordinates of the engine working condition data in the universal characteristic curve graph according to the coordinate conversion relation and the universal characteristic coordinates of the engine working condition data in the universal characteristic curve graph;
and determining the region of the engine working condition data in the universal characteristic curve graph according to the read color values of the image pixel coordinates.
According to the engine data processing method provided by the embodiment of the invention, the universal characteristic curve graphs with different colors in different areas divided according to the contour lines are obtained; then determining a coordinate conversion relation between an image coordinate system of the universal characteristic curve graph and a universal characteristic coordinate system; determining the image pixel coordinates of the engine working condition data in the universal characteristic curve graph according to the coordinate conversion relation and the universal characteristic coordinates of the engine working condition data in the universal characteristic curve graph; the region of the engine working condition data in the universal characteristic curve graph can be determined quickly and efficiently according to the read color value of the image pixel coordinate. Compared with the existing method for counting the distribution condition of the working condition data of the engine in the universal characteristic curve graph by fitting a mathematical function, the method provided by the embodiment of the invention has the advantages that the complexity is greatly reduced, and the calculation efficiency can be effectively improved; and the distribution points on the contour line do not need to be sampled, namely, the distribution points are not influenced by the precision of the sampling points, so the calculation precision can also be improved.
As an optional implementation manner of the embodiment of the present invention, acquiring a universal characteristic curve includes:
acquiring an engine universal characteristic curve image;
the method comprises the steps of extracting an image in a preset area from a universal characteristic curve image of the engine, and/or dividing the universal characteristic curve image into a plurality of areas according to contour lines in the universal characteristic curve image, setting different areas to be different colors, and obtaining the universal characteristic curve, wherein the preset area is a minimum rectangular area which contains an origin, a maximum ordinate and a maximum abscissa of a universal characteristic coordinate system in the universal characteristic curve.
The universal characteristic curve graph is obtained by extracting the image in the preset area from the universal characteristic curve image of the engine, so that unnecessary image areas can be removed, and the image processing at the later stage is facilitated.
As an optional implementation manner of the embodiment of the present invention, determining a coordinate transformation relationship between an image coordinate system of the all characteristic graph and the all characteristic coordinate system includes:
acquiring the image resolution of the universal characteristic curve graph;
and determining the coordinate transformation relation between the image coordinate system of the all-character characteristic curve graph and the all-character coordinate system according to the maximum ordinate, the maximum abscissa and the image resolution.
Through the embodiment, the coordinate conversion relation between the image coordinate system of the all characteristic curve graph and the all characteristic coordinate system can be determined quickly and effectively.
As an optional implementation manner of the embodiment of the present invention, after obtaining the universal characteristic curve, the method further includes:
and recording the color values respectively corresponding to the areas.
The color values corresponding to the regions are recorded, so that the corresponding colors of the engine working condition data in the universal characteristic curve can be conveniently determined in the later period according to the colors of the engine working condition data in the universal characteristic curve.
As an optional implementation manner of the embodiment of the present invention, determining, according to the color value of the read image pixel coordinate, an area to which the engine operating condition data belongs in the universal characteristic curve, includes:
reading color values of image pixel coordinates in a universal characteristic curve graph;
and matching the color values of the image pixel coordinates with the recorded color values of each area, and determining the area corresponding to the matched color values as the area to which the engine working condition data belongs in the universal characteristic curve graph.
Through the embodiment, the region of the engine working condition data in the universal characteristic curve graph can be determined quickly and effectively.
As an optional implementation manner of the embodiment of the present invention, the contour line is an equal oil consumption rate curve or an equal power curve.
As an optional implementation manner of the embodiment of the present invention, after determining the region to which the engine operating condition data belongs in the universal characteristic diagram, the method further includes:
and determining the performance of the engine according to the region of the engine working condition data in the universal characteristic curve graph.
In a second aspect, an embodiment of the present invention provides an engine data processing apparatus, including:
the acquisition module is used for acquiring a universal characteristic curve graph, wherein the universal characteristic curve graph is divided into a plurality of areas according to contour lines, and different areas are provided with different colors;
the relation determining module is used for determining a coordinate conversion relation between an image coordinate system of the all characteristic curve graph and the all characteristic coordinate system;
the coordinate determination module is used for determining image pixel coordinates corresponding to the engine working condition data in the universal characteristic curve graph according to the coordinate conversion relation and universal characteristic coordinates of the engine working condition data in the universal characteristic curve graph;
and the region determining module is used for determining the region of the engine working condition data in the universal characteristic curve according to the read color value of the image pixel coordinate.
As an optional implementation manner of the embodiment of the present invention, the obtaining module is specifically configured to:
acquiring an engine universal characteristic curve image;
the method comprises the steps of extracting an image in a preset area from a universal characteristic curve image of the engine, and/or dividing the universal characteristic curve image into a plurality of areas according to contour lines in the universal characteristic curve image, setting different areas to be different colors, and obtaining the universal characteristic curve, wherein the preset area is a minimum rectangular area which contains an origin, a maximum ordinate and a maximum abscissa of a universal characteristic coordinate system in the universal characteristic curve.
As an optional implementation manner of the embodiment of the present invention, the relationship determining module is specifically configured to:
acquiring the image resolution of the universal characteristic curve graph;
and determining the coordinate transformation relation between the image coordinate system of the all-character characteristic curve graph and the all-character coordinate system according to the maximum ordinate, the maximum abscissa and the image resolution.
As an optional implementation manner of the embodiment of the present invention, the apparatus further includes:
and the recording module is used for recording the color values respectively corresponding to the areas after the acquisition module acquires the universal characteristic curve graph.
As an optional implementation manner of the embodiment of the present invention, the region determining module is specifically configured to:
reading color values of image pixel coordinates in a universal characteristic curve graph;
and matching the color values of the image pixel coordinates with the recorded color values of each area, and determining the area corresponding to the matched color values as the area to which the engine working condition data belongs in the universal characteristic curve graph.
As an optional implementation manner of the embodiment of the present invention, the contour line is an equal oil consumption rate curve or an equal power curve.
As an optional implementation manner of the embodiment of the present invention, the apparatus further includes:
and the performance determining module is used for determining the performance of the engine according to the region of the engine working condition data in the universal characteristic curve graph.
The advantages of the apparatus provided by the second aspect and the possible embodiments of the second aspect may refer to the advantages brought by the possible embodiments of the first aspect and the first aspect, and are not described herein again.
In a third aspect, an embodiment of the present invention provides an engine data processing apparatus including: a memory for storing a computer program and a processor; the processor is configured to perform the method of the first aspect or any of the embodiments of the first aspect when the computer program is invoked.
The beneficial effects of the apparatus provided by the third aspect and each possible implementation manner of the third aspect may refer to the beneficial effects brought by each possible implementation manner of the first aspect, and are not described herein again.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method according to the first aspect or any embodiment of the first aspect.
The beneficial effects of the computer-readable storage medium provided by the fourth aspect and the possible embodiments of the fourth aspect may refer to the beneficial effects brought by the first aspect and the possible embodiments of the first aspect, and are not described herein again.
Drawings
FIG. 1 is a schematic flow chart diagram of a method for processing engine data according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a universal characteristic curve provided by the embodiment of the invention;
fig. 3 is a schematic flow chart of a method for determining a coordinate transformation relationship according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of an engine data processing apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an engine data processing apparatus according to an embodiment of the present invention.
Detailed Description
The method for counting the distribution condition of the engine working condition data in the universal characteristic curve graph by fitting a mathematical function at present has the defects that the complexity of the simulated mathematical function is very high, so the calculation efficiency is low, and particularly, the calculation efficiency becomes a big problem when a large number of engines with different models and a large amount of user engine working condition data are faced; in addition, the accuracy of the simulated mathematical function is greatly affected by the sampling points, and therefore the calculation accuracy of the method is limited.
In order to solve the above technical problems, an embodiment of the present invention provides an engine data processing method, which mainly includes obtaining a universal characteristic curve graph with different colors in different regions partitioned according to contour lines; then determining a coordinate conversion relation between an image coordinate system of the universal characteristic curve graph and a universal characteristic coordinate system; determining the image pixel coordinates of the engine working condition data in the universal characteristic curve graph according to the coordinate conversion relation and the universal characteristic coordinates of the engine working condition data in the universal characteristic curve graph; and then, according to the read color value of the image pixel coordinate, determining the region of the engine working condition data in the universal characteristic curve graph, so as to improve the calculation efficiency and accuracy when counting the distribution condition of the engine working condition data in the universal characteristic curve graph.
Embodiments of the present invention will be described below with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart of an engine data processing method according to an embodiment of the present invention, and as shown in fig. 1, the method according to the embodiment may include the following steps:
and S101, acquiring a universal characteristic curve graph.
The characteristic curve graph is divided into a plurality of areas according to contour lines, and different areas are provided with different colors.
Specifically, the universal characteristic curve image of the engine can be obtained from automobile manufacturers or engine manufacturers and the like, and the obtained image can be preprocessed, namely different colors are coated in different areas in the universal characteristic curve graph in the image; or the characteristic curve image may not be preprocessed, in this case, after the image is acquired, the characteristic curve graph in the image is preprocessed, that is, the characteristic curve image is divided into a plurality of regions according to contour lines in the characteristic curve image, and different regions are set to different colors. After the universal characteristic curve graph is obtained, the region of the engine working condition data in the universal characteristic curve graph can be determined according to the corresponding color of the engine working condition data in the universal characteristic curve graph.
The contour line may be an engine characteristic curve such as an equal fuel consumption rate curve or an equal power curve, for example: the contour lines are isofuel consumption rate curves, and when the colors are set, areas among different isofuel consumption rate curves in the universal characteristic curve graph are set to be different colors; the contour lines are equal power curves, and when the colors are set, the areas among different equal power curves in the all-purpose characteristic curve graph are set to be different colors.
When setting the color, areas between contour lines can be colored by adopting Photoshop or other image processing software; the color set in each region may be a color or a gray color with different gray levels, and the specific set color may be selected according to needs. Taking the type of the contour lines as the iso-fuel consumption rate curve as an example, as shown in fig. 2, the colors set between different iso-fuel consumption rate curves from inside to outside are: green, yellow, orange and red.
In general, the acquired engine characteristic map image includes some other image regions, such as: a frame area, an area containing coordinate axis identification information, and the like. In order to remove unnecessary image areas and facilitate later-stage image processing, in the embodiment, after an engine universal characteristic curve image is acquired, an image in a preset area is extracted from the engine universal characteristic curve image, wherein the preset area is a minimum rectangular area in which an origin, a maximum ordinate and a maximum abscissa of a universal characteristic coordinate system are included in the universal characteristic curve, namely, only an interested area in the coordinate system is extracted; and then, the extracted all-purpose characteristic curve graph can be preprocessed and the like to obtain the required all-purpose characteristic curve graph. At this time, when the preprocessing is performed, the preprocessed object universal characteristic curve image is the image obtained after extraction.
When the universal characteristic curve graph is extracted, the maximum ordinate and the maximum abscissa in universal characteristic coordinates can be extracted from the universal characteristic curve image of the engine; the maximum ordinate and the maximum abscissa which are manually input can be obtained, that is, the data processing personnel can manually input the maximum ordinate and the maximum abscissa of the characteristic coordinate system in the characteristic curve image of the engine into the engine data processing equipment. The engine data processing equipment can identify the origin of the universal characteristic coordinate system from the engine universal characteristic curve image, and then extract the universal characteristic curve according to the maximum ordinate and the maximum abscissa. It should be noted that, the method for extracting the characteristic graph is only described as an example, and is not intended to limit the present invention, and the specific extraction method is not particularly limited in this embodiment.
In addition, in this embodiment, after different regions in the universal characteristic curve image are set to different colors, color values corresponding to the regions may be recorded, so that the region to which the engine operating condition data belongs in the universal characteristic curve may be determined according to the color corresponding to the engine operating condition data in the universal characteristic curve in the later period.
During specific recording, the corresponding relationship between all contour lines related to the area and the color value may be recorded, or only the corresponding relationship between the contour line at the outer edge of the area and the color value may be recorded, taking fig. 2 as an example, for example: the iso-fuel consumption rate curve 210 corresponds to green, the iso-fuel consumption rate curve 215 corresponds to yellow, the iso-fuel consumption rate curve 220 corresponds to orange, and the iso-fuel consumption rate curve 230 corresponds to red. In addition, in recording color values specifically, RGB values of various colors may be recorded. Of course, the above is only an example, and the specific recording manner of the correspondence relationship between each area and the color value is not particularly limited in this embodiment.
And S102, determining a coordinate conversion relation between an image coordinate system of the all characteristic curve graph and the all characteristic coordinate system.
As described above, in the present embodiment, the area to which the engine operating condition data belongs in the universal characteristic curve is determined according to the color corresponding to the engine operating condition data in the universal characteristic curve, wherein when the color corresponding to the engine operating condition data in the universal characteristic curve is determined, the area needs to be determined according to the image pixel coordinate of the engine operating condition data in the universal characteristic curve, and therefore, the coordinate conversion relationship between the image coordinate system of the universal characteristic curve and the universal characteristic coordinate system needs to be determined, and then the image pixel coordinate of the engine operating condition data in the universal characteristic curve is determined according to the coordinate conversion relationship.
When the coordinate transformation relation is specifically determined, a plurality of feature points can be selected from the universal characteristic curve graph, and the coordinate transformation relation between the image coordinate system and the universal characteristic coordinate system of the universal characteristic curve graph is determined according to the image pixel coordinates and the universal characteristic coordinates of the feature points in the universal characteristic curve graph and the coordinate transformation model between the image coordinate system and the physical coordinate system.
In the present embodiment, as described in step S101, the characteristic curve image of the engine with all characteristic curves includes the minimum rectangular region within the origin, the maximum ordinate, and the maximum abscissa of the characteristic coordinate system, so that when determining the coordinate transformation relationship, the coordinate transformation relationship may be determined directly according to the maximum ordinate and the maximum abscissa of the characteristic coordinates in the characteristic curve and the image resolution of the characteristic curve, and when specifically implementing the method, the method shown in fig. 3 may be implemented. Fig. 3 is a schematic flow chart of a method for determining a coordinate transformation relationship according to an embodiment of the present invention, as shown in fig. 3, the method includes the following steps:
s201, acquiring the image resolution of the all characteristic curve graph.
Specifically, the image resolution of the characteristic diagram, that is, the number of pixels (i.e., width) of the characteristic diagram in the abscissa direction and the number of pixels (i.e., height) of the characteristic diagram in the ordinate direction, may be directly read by the correlation function.
S202, determining a coordinate conversion relation between an image coordinate system of the all-character characteristic curve graph and the all-character characteristic coordinate system according to the maximum ordinate, the maximum abscissa and the image resolution.
Specifically, the image coordinate system uses the upper left corner of the image as an origin, and the universal characteristic coordinate system uses the lower left corner of the image as an origin, so that the coordinate conversion relationship between the image coordinate system of the universal characteristic curve graph and the universal characteristic coordinate system is as follows:
Figure BDA0001809515700000081
Figure BDA0001809515700000082
wherein x is the abscissa of the image coordinate system, y is the ordinate of the image coordinate system, h is the height of the image, n is the abscissa of the universal characteristic coordinate system, and T is the ordinate of the universal characteristic coordinate system.
dn is the number of pixels in the color of the color filterThe dimension on the horizontal axis of the linear coordinate system, which can be determined from the maximum rotation speed value and the width of the image, i.e.
Figure BDA0001809515700000091
Wherein n is0And w is the width of the image, at maximum abscissa.
dT is the dimension of each pixel on the vertical axis of the universal characteristic coordinate system, which can be determined from the maximum vertical coordinate and the height of the image, i.e.
Figure BDA0001809515700000092
Wherein, T0Is the maximum ordinate.
By way of example, for example: in all characteristic graphs, the maximum rotating speed value (namely the maximum abscissa) is 6000r/min, the maximum torque value (namely the maximum ordinate) is 250NM, the image resolution is 600 x 1000, then dn is 6000/600, namely dn is 10, and x is n/10; dT is 250/1000, i.e. dT is 1/4, and y is 1000-4T.
S103, determining the corresponding image pixel coordinates of the acquired engine working condition data in the all characteristic curve graph according to the coordinate conversion relation and all characteristic coordinates of the engine working condition data in the all characteristic curve graph.
Specifically, after the coordinate transformation relationship is determined, the image pixel coordinates corresponding to the engine operating condition data can be determined according to the coordinate transformation relationship.
During specific implementation, the universal characteristic coordinates of the engine working condition data are substituted into the coordinate conversion relation, and the corresponding image pixel coordinates can be determined. Continuing with the above example, if the obtained user engine operating condition data has a rotation speed of 2000r/min and a torque of 100NM, i.e. the coordinates of all characteristics of the engine operating condition data are (2000, 100), then x-2000/10-200, y-1000-4-100-600, i.e. the coordinates of the corresponding image pixel are (200, 600).
And S104, determining the region of the engine working condition data in the universal characteristic curve graph according to the read color value of the image pixel coordinate.
Specifically, after obtaining the image pixel coordinate corresponding to the engine working condition data, the color value (i.e., pixel value) of the image pixel coordinate may be read, and the area corresponding to the color value is determined, where the area is the area to which the engine working condition data belongs in the universal characteristic curve.
In specific implementation, after the color value of the image pixel coordinate in the universal characteristic curve graph is read, the color value of the image pixel coordinate is matched with the color value of each recorded area, and the area corresponding to the matched color value is determined as the area to which the engine working condition data belongs in the universal characteristic curve graph. Continuing with the above example as an example, for example: if the color value of the image pixel coordinate (200, 600) corresponding to the engine operating condition data (2000, 100) is a yellow color value, the region to which the engine operating condition data belongs in the universal characteristic diagram is the region between the equal fuel consumption rate curves 210 and 215.
As another embodiment of the present invention, after determining the region to which the engine operating condition data belongs in the universal characteristic diagram, the method further comprises: and determining the performance of the engine according to the region of the engine working condition data in the universal characteristic curve graph.
Specifically, each area in the universal characteristic diagram represents different performance conditions of the engine, for example, the closer to the center, the better the performance of the engine is, the worse the performance of the engine is, the further the performance of the engine is, the corresponding area in the universal characteristic diagram according to the working condition data of the engine can conveniently and quickly determine the performance condition of the engine, and when the performance of the engine cannot meet the requirement, prompt information is provided so as to maintain the engine in time or make the engine worse.
It should be noted that, the above is exemplified by taking one engine operating condition data as an example, when there are a plurality of engine operating condition data, it is only necessary to respectively determine the image pixel coordinates of each engine operating condition data in the universal characteristic curve diagram through step S103, and then respectively determine the region to which each engine operating condition data belongs in the universal characteristic curve diagram through step S104.
According to the engine data processing method provided by the embodiment, all-purpose characteristic graphs with different colors in different areas divided according to contour lines are obtained; then determining a coordinate conversion relation between an image coordinate system of the universal characteristic curve graph and a universal characteristic coordinate system; determining the image pixel coordinates of the engine working condition data in the universal characteristic curve graph according to the coordinate conversion relation and the universal characteristic coordinates of the engine working condition data in the universal characteristic curve graph; the region of the engine working condition data in the universal characteristic curve graph can be determined quickly and efficiently according to the read color value of the image pixel coordinate. Compared with the existing method for counting the distribution condition of the engine working condition data in the universal characteristic curve graph by fitting a mathematical function, the method provided by the embodiment of the invention has the advantages that the complexity is greatly reduced, the calculation efficiency can be effectively improved, and higher calculation efficiency can be ensured even if a large number of engines of different models and a large amount of user engine working condition data are faced; and the distribution points on the contour line do not need to be sampled, namely, the distribution points are not influenced by the precision of the sampling points, so the calculation precision can also be improved.
Based on the same inventive concept, as an implementation of the foregoing method, an embodiment of the present invention provides an engine data processing apparatus, where an embodiment of the apparatus corresponds to the foregoing method embodiment, and details in the foregoing method embodiment are not repeated in this apparatus embodiment for convenience of reading, but it should be clear that the apparatus in this embodiment can correspondingly implement all the contents in the foregoing method embodiment.
Fig. 4 is a schematic structural diagram of an engine data processing apparatus according to an embodiment of the present invention, and as shown in fig. 4, the apparatus according to the embodiment may include the following modules:
the acquiring module 110 is configured to acquire a universal characteristic curve graph, wherein the universal characteristic curve graph is divided into a plurality of regions according to contour lines, and different regions are provided with different colors;
a relation determining module 120, configured to determine a coordinate transformation relation between an image coordinate system of the all characteristic graph and the all characteristic coordinate system;
the coordinate determination module 130 is configured to determine image pixel coordinates corresponding to the engine working condition data in the universal characteristic curve according to the coordinate conversion relation and universal characteristic coordinates of the engine working condition data in the universal characteristic curve;
and the region determining module 140 is configured to determine a region to which the engine operating condition data belongs in the universal characteristic curve according to the read color value of the image pixel coordinate.
As an optional implementation manner of the embodiment of the present invention, the obtaining module 110 is specifically configured to:
acquiring an engine universal characteristic curve image;
the method comprises the steps of extracting an image in a preset area from a universal characteristic curve image of the engine, and/or dividing the universal characteristic curve image into a plurality of areas according to contour lines in the universal characteristic curve image, setting different areas to be different colors, and obtaining the universal characteristic curve, wherein the preset area is a minimum rectangular area which contains an origin, a maximum ordinate and a maximum abscissa of a universal characteristic coordinate system in the universal characteristic curve.
As an optional implementation manner of the embodiment of the present invention, the relationship determining module 120 is specifically configured to:
acquiring the image resolution of the universal characteristic curve graph;
and determining the coordinate transformation relation between the image coordinate system of the all-character characteristic curve graph and the all-character coordinate system according to the maximum ordinate, the maximum abscissa and the image resolution.
As an optional implementation manner of the embodiment of the present invention, the apparatus further includes:
the recording module 150 is configured to record color values corresponding to the respective regions after the obtaining module 110 obtains the all-purpose characteristic graph.
As an optional implementation manner of the embodiment of the present invention, the area determining module 140 is specifically configured to:
reading color values of image pixel coordinates in a universal characteristic curve graph;
and matching the color values of the image pixel coordinates with the recorded color values of each area, and determining the area corresponding to the matched color values as the area to which the engine working condition data belongs in the universal characteristic curve graph.
As an optional implementation manner of the embodiment of the present invention, the contour line is an equal oil consumption rate curve or an equal power curve.
As an optional implementation manner of the embodiment of the present invention, the apparatus further includes:
a performance determination module 160 configured to determine performance of the engine according to a region to which the engine operating condition data belongs in the universal characteristic map.
The apparatus provided in this embodiment may perform the above method embodiments, and the implementation principle and the technical effect are similar, which are not described herein again.
Based on the same inventive concept, the embodiment of the invention also provides an engine data processing device.
Fig. 5 is a schematic structural diagram of an engine data processing apparatus according to an embodiment of the present invention, and as shown in fig. 5, the engine data processing apparatus according to the present embodiment includes: a memory 210 and a processor 220, the memory 210 for storing computer programs; the processor 220 is adapted to perform the method according to the above-described method embodiments when invoking the computer program.
The engine data processing device provided by the embodiment can execute the method embodiments, and the implementation principle and the technical effect are similar, and are not described herein again.
Embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method described in the above method embodiments.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media having computer-usable program code embodied in the medium.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. An engine data processing method, characterized by comprising:
acquiring a universal characteristic curve graph, wherein the universal characteristic curve graph is divided into a plurality of areas according to contour lines, and different areas are provided with different colors;
determining a coordinate conversion relation between an image coordinate system of the all characteristic curve graph and an all characteristic coordinate system;
determining the image pixel coordinates of the engine working condition data in the universal characteristic curve graph according to the coordinate conversion relation and universal characteristic coordinates of the engine working condition data in the universal characteristic curve graph;
and determining the region of the engine working condition data in the universal characteristic curve according to the read color value of the image pixel coordinate.
2. The method of claim 1, wherein obtaining the universal characteristic graph comprises:
acquiring an engine universal characteristic curve image;
the method comprises the steps of extracting images in a preset area from an engine universal characteristic curve image, and/or dividing the universal characteristic curve image into a plurality of areas according to contour lines in the universal characteristic curve image, setting different areas to be different colors, and obtaining the universal characteristic curve, wherein the preset area is a minimum rectangular area in the universal characteristic curve, and the minimum rectangular area comprises an origin, a maximum ordinate and a maximum abscissa of a universal characteristic coordinate system.
3. The method of claim 2, wherein determining the coordinate transformation relationship between the image coordinate system of the mastercard and the mastercard coordinate system comprises:
acquiring the image resolution of the universal characteristic curve graph;
and determining a coordinate conversion relation between an image coordinate system of the all characteristic curve graph and an all characteristic coordinate system according to the maximum ordinate, the maximum abscissa and the image resolution.
4. The method of claim 1, wherein after said obtaining the universal characteristic map, the method further comprises:
and recording the color values respectively corresponding to the areas.
5. The method of claim 4, wherein the determining the region of the engine operating condition data in the universal characteristic curve according to the read color values of the image pixel coordinates comprises:
reading the color value of the image pixel coordinate in the universal characteristic curve graph;
and matching the color values of the image pixel coordinates with the recorded color values of each area, and determining the area corresponding to the matched color values as the area to which the engine working condition data belongs in the universal characteristic curve chart.
6. The method according to any one of claims 1 to 5, wherein: the contour line is an equal oil consumption rate curve or an equal power curve; and/or the presence of a gas in the gas,
after determining the region to which the engine operating condition data belongs in the universal characteristic map, the method further comprises:
and determining the performance of the engine according to the region of the engine working condition data in the universal characteristic curve graph.
7. An engine data processing apparatus, characterized by comprising:
the device comprises an acquisition module, a display module and a control module, wherein the acquisition module is used for acquiring a universal characteristic curve graph, the universal characteristic curve graph is divided into a plurality of areas according to contour lines, and different areas are provided with different colors;
the relation determining module is used for determining a coordinate conversion relation between an image coordinate system of the all characteristic curve graph and an all characteristic coordinate system;
the coordinate determination module is used for determining image pixel coordinates corresponding to the engine working condition data in the universal characteristic curve graph according to the coordinate conversion relation and universal characteristic coordinates of the engine working condition data in the universal characteristic curve graph;
and the region determining module is used for determining the region of the engine working condition data in the universal characteristic curve according to the read color value of the image pixel coordinate.
8. The apparatus of claim 6, wherein the obtaining module is specifically configured to:
acquiring an engine universal characteristic curve image;
the method comprises the steps of extracting images in a preset area from an engine universal characteristic curve image, and/or dividing the universal characteristic curve image into a plurality of areas according to contour lines in the universal characteristic curve image, setting different areas to be different colors, and obtaining the universal characteristic curve, wherein the preset area is a minimum rectangular area in the universal characteristic curve, and the minimum rectangular area comprises an origin, a maximum ordinate and a maximum abscissa of a universal characteristic coordinate system.
9. An engine data processing apparatus, characterized by comprising: a memory for storing a computer program and a processor; the processor is adapted to perform the method of any of claims 1-6 when the computer program is invoked.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-6.
CN201811118882.6A 2018-09-25 2018-09-25 Engine data processing method, device and equipment Pending CN110955949A (en)

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