CN114117340A - Engine assembly detection method and device, storage medium and electronic equipment - Google Patents
Engine assembly detection method and device, storage medium and electronic equipment Download PDFInfo
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Abstract
The invention discloses an engine assembly detection method and device, wherein the method comprises the following steps: acquiring various physical assembly data of an engine assembly process; fitting the two types of related physical assembly data on a coordinate system to obtain a two-dimensional data curve on the coordinate system; selecting a plurality of two-dimensional data curves which meet preset conditions from the two-dimensional data curves to obtain envelope curve calculation samples; calculating to generate an envelope line according to the envelope line calculation sample; and carrying out overall process detection on various physical assembly data in the engine assembly process based on the envelope line. According to the method, the envelope curves of the processed two-dimensional data curves are selected to generate the envelope curve, and then all kinds of assembly data in the engine assembly process are detected in the whole process based on the envelope curve, so that the capability of coping with random abnormal problems in the assembly process is improved, the difference identification precision of parts is improved, the detection capability of the whole engine assembly process is enhanced, and the abnormally assembled engine is prevented from flowing into the market.
Description
Technical Field
The invention relates to the technical field of engines, in particular to an engine assembly detection method, an engine assembly detection device, a storage medium and electronic equipment.
Background
In the production and assembly Process of the engine, the assembly state of key parts is monitored by establishing online automatic inspection (In Process Verification, IPV for short) station detection, the assembly defects caused by the problems of the parts or the equipment state and the like are identified In advance, and the assembly quality of the engine leaving a factory meets the market demand.
Heretofore, engine assembly line IPV detection means fall into two categories:
1) monitoring based on the statistical value, such as in the gyroscopic torque detection process, using the torque peak value of the full detection period and the average value of the set range as a judgment basis, and detecting the engine state, as shown in fig. 1;
2) based on the specific position window monitoring, a plurality of decision ranges composed of two-dimensional physical quantities are placed at specific positions, and the assembly state within the ranges is identified, as shown in fig. 2.
However, these 2 detection modes cannot completely identify an abnormal condition in the assembly process, and due to randomness of the assembly process and differences of parts, it is impossible to predict in advance which region of the assembly curve an abnormal condition is present, and there is a problem that the assembly curve with a period fluctuation cannot be identified by a statistical value such as an average value. According to the tightening curve shown in fig. 3, when the thread is damaged, a sealing problem is caused, an abnormal high point appears in the tightening curve in a pre-tightening section, and obviously, a monitoring window arranged in advance at a tightening end point cannot identify the problem, so that abnormal assembly is misjudged as qualified engine outflow. In the process of assembling an engine, the conventional IPV station detection technology is poor in handling of the problem of random abnormality in the assembling process, low in difference identification precision of parts, defective in detection and insufficient in detection capability of the engine.
Therefore, a new method for detecting the state of the whole process of engine assembly is needed to prevent the problems which cannot be found by the current detection method and prevent the abnormally assembled engine from flowing into the market.
Disclosure of Invention
The invention provides an engine assembly detection method, which solves the technical problem of low precision in identifying differences of parts in an assembly process, improves the detection capability and avoids abnormal engine outflow.
The invention provides an engine assembly detection method, which comprises the following steps:
acquiring various physical assembly data of an engine assembly process;
fitting the two types of related physical assembly data on a coordinate system to obtain a two-dimensional data curve on the coordinate system;
selecting a plurality of two-dimensional data curves which meet preset conditions from the two-dimensional data curves to obtain envelope calculation samples;
calculating to generate an envelope line according to the envelope line calculation sample;
and carrying out overall process detection on various physical assembly data in the engine assembly process based on the envelope line.
In an embodiment of the present invention, it is,
the step of calculating and generating the envelope line according to the envelope line calculation sample comprises the following steps:
acquiring probability distribution that the numerical value of the acquisition time point corresponding to the preset frequency meets the preset error;
respectively calculating confidence intervals of preset percentages of the probability distributions;
acquiring an upper limit value and a lower limit value of the numerical value of the corresponding acquisition time point of each confidence interval;
and respectively connecting the upper limit value and the lower limit value of the numerical value of each acquisition time point to obtain the corresponding upper envelope line and lower envelope line.
In an embodiment of the present invention, it is,
the step of obtaining the probability distribution that the numerical value of the acquisition time point corresponding to the preset frequency meets the preset error comprises:
and fitting a plurality of distributions on the numerical values of the acquisition time points to use the distribution which accords with a preset error as the probability distribution of the numerical values of the acquisition time points.
In an embodiment of the present invention, it is,
the distribution of the preset errors is set to be a distribution of which the similarity with the fitting distribution of the numerical values of the acquisition time points is greater than or equal to 70% among the plurality of distributions.
In an embodiment of the present invention, it is,
the step of obtaining various types of physical assembly data in the engine assembly process comprises the following steps:
acquiring various assembling detection data in the engine assembling process;
and respectively carrying out analog-to-digital conversion on each type of the assembly detection data, and analyzing to obtain two types of the physical assembly data related to the engine.
In an embodiment of the present invention, it is,
the step of fitting the two types of the associated physical assembly data on a coordinate system to obtain a two-dimensional data curve on the coordinate system further includes:
respectively carrying out data processing on each two-dimensional data curve to obtain the processed two-dimensional data curve, wherein the data processing comprises the following steps: mean filtering, lossless sampling and converting nonlinear data into linear data;
the step of selecting a plurality of two-dimensional data curves meeting preset conditions from the two-dimensional data curves to obtain envelope calculation samples comprises:
and selecting a plurality of two-dimensional data curves which accord with preset conditions from the two-dimensional data curves after the processing to obtain the envelope curve calculation sample.
In an embodiment of the present invention, it is,
the step of selecting a plurality of two-dimensional data curves meeting preset conditions from the two-dimensional data curves to obtain envelope calculation samples comprises:
and selecting a plurality of two-dimensional data curves which accord with a preset number from the two-dimensional data curves after the processing to obtain the envelope curve calculation sample.
The invention provides an engine assembly detection device, which is characterized by comprising:
the data acquisition module is used for acquiring various physical assembly data in the engine assembly process;
the fitting and assembling data module is used for fitting the two types of related physical assembling data on a coordinate system to obtain a two-dimensional data curve on the coordinate system;
the selecting two-dimensional curve module is used for selecting a plurality of two-dimensional data curves which meet preset conditions from the two-dimensional data curves to obtain envelope calculation samples;
an envelope generating module, configured to calculate and generate an envelope according to the envelope calculation samples;
and the assembly process detection module is used for detecting various physical assembly data in the engine assembly process based on the envelope line.
The present invention provides a storage medium having stored thereon a computer program,
the program when executed by a processor implements the steps of the engine assembly detection method of any one of the above.
The present invention provides an electronic device, including:
a memory having a computer program stored thereon; and
a processor for executing the computer program in the memory to implement the steps of the engine assembly detection method of any one of the above.
One or more embodiments of the present invention may have the following advantages over the prior art:
according to the invention, the envelope curve is generated by selecting the two-dimensional data curve, and the overall process detection is carried out on various assembling data in the engine assembling process based on the envelope curve, so that the capability of coping with random abnormal problems in the assembling process is improved, the difference identification precision of parts is improved, the detection capability of the overall engine assembling process is enhanced, and the abnormally assembled engine is prevented from flowing into the market.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic view showing a state where a crank torque is detected;
FIG. 2 is a schematic illustration of a final tightening result of bolt tightening based on window monitoring;
FIG. 3 is a schematic view showing an abnormal state of damage of tightening threads;
FIG. 4 is a schematic flow chart of an engine assembly detection method according to an embodiment of the invention;
FIG. 5 is a diagram illustrating envelope detection functionality of an IPV detection management system according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of an engine assembly detection apparatus frame according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the following detailed description of the present invention with reference to the accompanying drawings is provided to fully understand and implement the technical effects of the present invention by solving the technical problems through technical means. It should be noted that, as long as there is no conflict, the embodiments and the features of the embodiments of the present invention may be combined with each other, and the technical solutions formed are within the scope of the present invention.
First embodiment
FIG. 4 is a schematic flow chart of an engine assembly detection method according to the present embodiment;
FIG. 5 is a schematic diagram of the envelope detection function of the IPV detection management system according to the present embodiment;
the invention provides an engine assembly detection method, which comprises the following steps:
acquiring various physical assembly data of an engine assembly process;
fitting the two types of related physical assembly data on a coordinate system to obtain a two-dimensional data curve on the coordinate system;
selecting a plurality of two-dimensional data curves which meet preset conditions from the two-dimensional data curves to obtain envelope curve calculation samples;
calculating to generate an envelope line according to the envelope line calculation sample;
various physical assembly data of the engine assembly process are detected based on the envelope line.
Specifically, the engine assembly detection method comprises the following steps:
and step S110, acquiring various physical assembly data of the engine assembly process.
In this embodiment, according to the configuration of a factory equipment layer, a Data Acquisition System (DAQ System for short) is set up, various types of physical assembly Data of an online automatic inspection (In Process Verification, IPV for short) station of an engine assembly Process are subjected to Data analysis, a complete digital record of the assembly Process is obtained, and complete Data storage is performed, where a storage mode is based on Data attributes. The IPV station comprises at least one of an oil seal press-fitting station, a rotary moment detection station and a piston protrusion amount measurement station.
In this embodiment, the step of obtaining various types of physical assembly data of the engine assembly process includes:
firstly, the DAQ system acquires various assembly detection data of the engine in the assembly process at the frequency of 2kHz or 500Hz, and in the embodiment, the frequency is preferably 500 Hz; the detection data of all assembling processes comprise analog signal values (such as analog voltage values), PLC interaction quantity and construction information of the engine, wherein the construction information of the engine comprises a serial number, an assembling station, construction starting time and construction finishing time.
And secondly, performing analog-to-digital conversion on each type of assembly detection data respectively, and analyzing to obtain two types of physical assembly data related to the engine.
Specifically, for example, analog signals of a torque sensor and an angle sensor of an engine revolution torque detection station are collected based on an NI-PXIe system, and after data processing, a collected analog voltage signal value is converted into an actual torque value and a revolution angle quantity. The oil pressure packaging station analyzes and converts the collected analog voltage signal into a torque value and an angle value; and the piston protrusion measuring station analyzes and converts the acquired analog voltage signal into a displacement value and an angle value.
The acquired complete digital record of the assembly process is then stored in a corresponding database based on the data attributes.
The database comprises a real-time database (such as InfluxDB) and a lightweight relational database (such as Mysql), wherein the real-time database stores process physical data with high-frequency change, such as torque and rotation angle of a slewing moment detection station; the lightweight relational data stores the construction information of the engine, such as engine ESN serial number, assembly station, assembly start time, assembly end time, and the like.
The combined storage mode can improve the utilization efficiency of the edge side data and is convenient for building a related algorithm of envelope calculation in the follow-up process.
And step S120, fitting the two types of related physical assembly data on a coordinate system to obtain a two-dimensional data curve on the coordinate system.
In this embodiment, two types of physical assembly data associated with each IPV station are fitted on a two-dimensional coordinate system to obtain a two-dimensional data curve on the two-dimensional coordinate system.
The step of fitting the two types of associated physical assembly data on the coordinate system to obtain a two-dimensional data curve on the coordinate system further includes:
and respectively carrying out data processing on each two-dimensional data curve to obtain a processed two-dimensional data curve, wherein the data processing comprises the following steps: mean filtering, lossless sampling, and converting nonlinear data to linear data.
The conversion of the nonlinear data into linear data is to convert the nonlinear data in the fitted two-dimensional data curve to obtain a continuous two-dimensional data curve, for example, convert some sawtooth waves and discontinuous square waves into continuous waveforms;
the lossless sampling is to remove the numerical values which do not meet the preset conditions in the continuous two-dimensional data curve to obtain a lossless two-dimensional data curve, wherein the preset conditions are that the numerical values acquired at the frequency of 2kHz or 500Hz are more than or equal to 20% of the preset threshold and less than or equal to 50% of the preset threshold; the lossless sampling is to extract an abnormal high point or low point signal so as to avoid influencing the calculation of a subsequent envelope curve;
and (4) average filtering, namely acquiring the average value of 3 or 5 preset acquired values in the lossless two-dimensional data curve, and sequentially replacing the single acquired value with the average value to obtain the processed two-dimensional data curve.
The storage density of the two-dimensional data curve can be freely set according to the precision requirement of the IPV working position data, in the embodiment, the 2KHz sampling frequency is adopted for data acquisition, then under the condition that the 500Hz data precision is enough to meet the requirement of field data analysis, the average value filtering method is adopted, the 500Hz data is adopted for precision reduction data storage, the data volume is reduced, the calculation time is reduced, the data processing efficiency is improved, and the assembly detection efficiency is improved.
Step S130, selecting a plurality of two-dimensional data curves meeting a preset condition from the two-dimensional data curves to obtain envelope calculation samples.
In this embodiment, a plurality of two-dimensional data curves meeting a preset condition are selected from the processed two-dimensional data curves to be used as samples for calculating the envelope curve.
The method comprises the following steps of selecting a plurality of two-dimensional data curves meeting preset conditions from the two-dimensional data curves to obtain envelope curve calculation samples:
fitting the two types of associated physical assembly data on the coordinate system through step S120, and selecting a plurality of two-dimensional data curves in accordance with a preset number from the two-dimensional data curves on the coordinate system to obtain envelope calculation samples, where the preset number is 100.
Further, the step of selecting a plurality of two-dimensional data curves meeting a preset condition from each of the two-dimensional data curves to obtain envelope calculation samples further includes:
selecting a plurality of two-dimensional data curves meeting preset conditions from the two-dimensional data curves after processing to obtain the envelope curve calculation sample, wherein the preset conditions are set to be a preset number, and data processing is respectively performed on the two-dimensional data curves in the step S120 to obtain the two-dimensional data curves after processing, wherein the data processing comprises: mean filtering, lossless sampling, and converting nonlinear data to linear data.
The IPV station detection management system can set the calculation frequency of the envelope curve, if the requirement is high, the automatic calculation function is started, each 100 processed two-dimensional data curves are set as calculation samples, the envelope curve is calculated and generated once and stored, the on-site self-adaption function is realized, and meanwhile, the envelope curve change state is notified to related personnel; if the self-adaptive requirement on field detection is not high, the frequency of calculating and generating the envelope can be reduced, for example, the envelope is set to be in a static state, and when the envelope is calculated and generated is manually determined.
In step S140, an envelope is calculated and generated from the envelope calculation samples.
In this embodiment, calculation is performed and an envelope is generated based on a plurality of processed two-dimensional data curves that have been selected as samples.
In this embodiment, the step of calculating the envelope generation includes:
s141, acquiring probability distribution that the numerical value of the acquisition time point corresponding to the preset frequency meets the preset error;
specifically, data are collected again according to the collection time point corresponding to the preset frequency by the numerical value in the selected and processed two-dimensional data curves, and the number of data points is reduced, wherein the preset frequency is set to be 100 Hz; for example, the original data acquisition for 500hz obtains values of 1000 time points, the sampling interval time is short, the data acquisition is now set to 100hz, the sampling interval time is increased by 5 times, and under the condition that the total time is not changed, the data acquisition is changed from 1000 to 200.
And sequentially replacing the numerical values of the single acquisition time point with the average value of the numerical values of the current acquisition time point and the numerical values of the non-acquired numerical values before the current acquisition time point in the two-dimensional data curve to obtain the corresponding two-dimensional data curve with the reduced data volume.
Changing the values of 1000 time points into 200, re-collecting data samples, namely, taking the values of 200 time points in sequence from the 5 th time point to the 10 th time point, averaging the values of 1 to 5 time points into 1 value, replacing the 5 th value of the sample with the average value, averaging the values of 6 to 10 time points into 1 value, replacing the 10 th value of the sample with the average value until replacing the 1000 th value, and obtaining the two-dimensional data curve with reduced data volume.
And then fitting a plurality of distributions on the numerical values of the same acquisition time points in a plurality of two-dimensional data curves in the envelope calculation sample to use the distribution which accords with the preset error as the probability distribution of the numerical values of the acquisition time points.
In this embodiment, the envelope calculation samples are 100 two-dimensional data curves with reduced data size, for example, each two-dimensional data curve has 200 acquisition time points, firstly, carrying out fitting statistical calculation of a plurality of distributions on 100 time point values counted by the 1 st collecting time point value in 100 two-dimensional data curves, comparing the statistical calculation result with Gamma (Gamma) distribution, positive-too (Normal) distribution, Weibull (Weibull) distribution, index (Exponential) distribution and Logistic (Logistic) distribution stored in a database, arranging the distribution which meets the preset error as the probability distribution of the numerical values of the collecting time points, taking the probability distribution as the statistical method of the collecting time points, and sequentially finishing the statistical analysis of all the collecting time points, wherein the distribution of the preset error is set to a distribution of which the similarity to a fit distribution of the numerical values of the acquisition time points is greater than or equal to 70% among the plurality of distributions.
Further, when the similarity of the fitted distribution of the waveform and a certain stored distribution exceeds 70%, the distribution with the highest similarity ranking is taken as the probability distribution of the values of the acquisition time points.
In addition, when there are a plurality of corresponding relations among the overall statistical states, strong jitter of the envelope may occur, in this embodiment, if there are 3 or more kinds of distribution corresponding to more than 70% of similarity in 50 time points, the distribution corresponding to the time point including the most number of distribution is taken as the distribution method for the 50 time points. And manually setting and selecting the matching condition with the tolerance grade of 2 sigma or 3 sigma in advance according to the precision requirement.
S142, respectively calculating confidence intervals of preset percentages of the probability distributions, wherein the preset percentages are set to be 95% or 99%;
specifically, after the probability distribution of each time point is obtained, a 95% or 99% confidence interval is selected according to the detection requirement of the IPV station quality, the 95% or 99% confidence interval of the value of each acquisition time point in 100 two-dimensional data curves in the sample is sequentially calculated, and the 200 time point values exist in each two-dimensional data curve, so that the 200 time point confidence intervals can be obtained.
S143, acquiring an upper limit value and a lower limit value of the numerical value of each confidence interval corresponding to the acquisition time point;
obtaining confidence interval of each collection time point value according to the step S142, taking the upper limit of each confidence interval as the upper limit value of the corresponding collection time point value, taking the lower limit of each confidence interval as the lower limit value of the corresponding collection time point value,
s144, connecting the upper limit value and the lower limit value of the value of each acquisition time point to obtain a corresponding upper envelope and a corresponding lower envelope, such as the upper envelope and the lower envelope in the IPV detection management system in fig. 5.
And (4) respectively connecting the upper limit value and the lower limit value of the numerical value of each acquisition time point obtained in the step (S143), and respectively obtaining the corresponding upper envelope line and the corresponding lower envelope line.
Further, after the step of respectively connecting the upper limit value and the lower limit value of the value of each acquisition time point to obtain the corresponding upper envelope line and the corresponding lower envelope line, the method further comprises the following steps: and manually adjusting each envelope curve through professional experience to obtain a corresponding optimized envelope curve.
Because the calculation results of some time points in the generated envelope lines are easy to cause misjudgment of a detection system, the envelope lines generated by calculating samples need to be manually adjusted through checking, evaluating, revising and the like by introducing professional experience, so that an optimized envelope curve is obtained, and the detection qualification rate of an assembly site is ensured.
And S150, carrying out overall process detection on various physical assembly data of the engine assembly process based on the envelope line.
After the envelope curve of the IPV station is generated, all kinds of physical assembly data of the engine assembly process of each IPV station can be detected in the whole process through the envelope curve. Because various physical assembly parameters in the assembly process of the engine can be completely monitored, the problem of uncertainty of the position of an abnormal point caused by parts or equipment can be found, the identification and feedback of the abnormal condition of any position in the assembly process of key parts of the engine, such as oil seal press fitting, rotary torque detection, piston protrusion measurement and other stations, can be realized, and the assembly quality of the engine is greatly improved.
In summary, in the embodiment, the envelope curves are generated by selecting the processed two-dimensional data curves, and then the overall process detection is performed on various types of assembly data in the engine assembly process based on the envelope curves, so that the capability of dealing with random abnormal problems in the assembly process is improved, the difference identification precision of parts is improved, the detection capability of the overall process of the engine assembly is enhanced, and the abnormally assembled engine is prevented from flowing into the market.
Second embodiment
FIG. 6 is a schematic diagram of an engine assembly detection apparatus frame according to an embodiment of the present invention.
The invention provides an engine assembly detection device, which is characterized by comprising:
the data acquisition module is used for acquiring various physical assembly data in the engine assembly process;
the fitting and assembling data module is used for fitting the two types of related physical assembling data on a coordinate system to obtain a two-dimensional data curve on the coordinate system;
the selection two-dimensional curve module is used for selecting a plurality of two-dimensional data curves which meet preset conditions from the two-dimensional data curves to obtain envelope calculation samples;
the envelope generating module is used for calculating and generating an envelope according to the envelope calculation samples;
and the assembly process detection module is used for detecting various physical assembly data of the engine assembly process based on the envelope line.
In summary, in this embodiment, the engine assembly detection method of the first embodiment is applied to a device, a plurality of processed two-dimensional data curves are selected to generate an envelope, and then, the whole process detection is performed on various assembly data of the engine assembly process based on the envelope, so that the capability of coping with random abnormal problems in the assembly process is improved, the difference identification precision of parts is improved, the detection capability of the whole process of engine assembly is enhanced, and the abnormally assembled engine is prevented from flowing into the market.
Third embodiment
The present invention provides a storage medium having stored thereon a computer program,
the program when executed by a processor implements the steps of the engine assembly detection method of any one of the above.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
Fourth embodiment
The present invention provides an electronic device, including:
a memory having a computer program stored thereon; and
a processor for executing the computer program in the memory to implement the steps of the engine assembly detection method of any one of the above.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Although the embodiments of the present invention have been described above, the above description is only for the convenience of understanding the present invention, and is not intended to limit the present invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as disclosed, and that the scope of the invention is not to be limited to the particular embodiments disclosed herein but is to be accorded the full scope of the claims.
Claims (10)
1. An engine assembly detection method, characterized by comprising the steps of:
acquiring various physical assembly data of an engine assembly process;
fitting the two types of related physical assembly data on a coordinate system to obtain a two-dimensional data curve on the coordinate system;
selecting a plurality of two-dimensional data curves which meet preset conditions from the two-dimensional data curves to obtain envelope calculation samples;
calculating to generate an envelope line according to the envelope line calculation sample;
and detecting various types of physical assembly data in the engine assembly process based on the envelope line.
2. The method of claim 1,
the step of calculating and generating the envelope line according to the envelope line calculation sample comprises the following steps:
acquiring probability distribution that the numerical value of the acquisition time point corresponding to the preset frequency meets the preset error;
respectively calculating confidence intervals of preset percentages of the probability distributions;
acquiring an upper limit value and a lower limit value of the numerical value of the corresponding acquisition time point of each confidence interval;
and respectively connecting the upper limit value and the lower limit value of the numerical value of each acquisition time point to obtain the corresponding upper envelope line and lower envelope line.
3. The method of claim 2,
the step of obtaining the probability distribution that the numerical value of the acquisition time point corresponding to the preset frequency meets the preset error comprises:
and fitting a plurality of distributions on the numerical values of the acquisition time points to use the distribution which accords with a preset error as the probability distribution of the numerical values of the acquisition time points.
4. The method of claim 3,
the distribution of the preset errors is set to be a distribution of which the similarity with the fitting distribution of the numerical values of the acquisition time points is greater than or equal to 70% among the plurality of distributions.
5. The method of claim 1, wherein the step of obtaining various types of physical assembly data for an engine assembly process comprises:
acquiring various assembling detection data in the engine assembling process;
and respectively carrying out analog-to-digital conversion on each type of the assembly detection data, and analyzing to obtain two types of the physical assembly data related to the engine.
6. The method of claim 1, wherein the step of fitting the two associated types of physical fitting data to a coordinate system to obtain a two-dimensional data curve on the coordinate system further comprises:
respectively carrying out data processing on each two-dimensional data curve to obtain the processed two-dimensional data curve, wherein the data processing comprises the following steps: mean filtering, lossless sampling and converting nonlinear data into linear data;
the step of selecting a plurality of two-dimensional data curves meeting preset conditions from the two-dimensional data curves to obtain envelope calculation samples comprises:
and selecting a plurality of two-dimensional data curves which accord with preset conditions from the two-dimensional data curves after the processing to obtain the envelope curve calculation sample.
7. The method of claim 1,
the step of selecting a plurality of two-dimensional data curves meeting preset conditions from the two-dimensional data curves to obtain envelope calculation samples comprises:
and selecting a plurality of two-dimensional data curves which accord with a preset number from the two-dimensional data curves after the processing to obtain the envelope curve calculation sample.
8. An engine assembly detection device, comprising:
the data acquisition module is used for acquiring various physical assembly data in the engine assembly process;
the fitting and assembling data module is used for fitting the two types of related physical assembling data on a coordinate system to obtain a two-dimensional data curve on the coordinate system;
the selecting two-dimensional curve module is used for selecting a plurality of two-dimensional data curves which meet preset conditions from the two-dimensional data curves to obtain envelope calculation samples;
an envelope generating module, configured to calculate and generate an envelope according to the envelope calculation samples;
and the whole process detection module is used for detecting various physical assembly data in the engine assembly process based on the envelope line.
9. A storage medium having a computer program stored thereon, wherein,
the program when executed by a processor implements the steps of the engine assembly detection method of any one of claims 1 to 7.
10. An electronic device, comprising:
a memory having a computer program stored thereon; and
a processor for executing the computer program in the memory to carry out the steps of the engine assembly detection method of any one of claims 1 to 7.
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