CN113902296A - Intelligent test method and system for single-phase asynchronous motor - Google Patents
Intelligent test method and system for single-phase asynchronous motor Download PDFInfo
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- G01R31/34—Testing dynamo-electric machines
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
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Abstract
The invention discloses a testing method and a testing system for an intelligent single-phase asynchronous motor, wherein the method comprises the following steps: obtaining a first test parameter according to the first test item list; carrying out motor test on the first motor based on the first test parameter to generate a first test item score; constructing a first connection item unit; inputting the first motor information into the first connection item unit to obtain first connection output information of the first connection item unit; obtaining first connection grading information according to the first connection output information; obtaining first cross-scoring information; and inputting the first connection grading information and the first cross grading information into a motor test grading model, obtaining first grading information and generating a first test result. The method solves the technical problems that the accuracy and comprehensiveness of test result output are difficult to ensure when the test data are processed due to the fact that mass data based on the test exist in the prior art.
Description
Technical Field
The invention relates to the field related to motor testing, in particular to a testing method and a testing system for an intelligent single-phase asynchronous motor.
Background
In recent years, with the progress of the technological level, higher and higher requirements are provided for the performance and quality indexes of a motor, a motor test system provides necessary data support for motor design, quality inspection and the like, the correctness and the accuracy of test data are important means for verifying the motor design and ensuring the quality of the motor, and motor products of enterprises are rapidly developed due to epidemic situations, so that the motor products become main purposes of the products, and the products of the enterprises play a great role in medical equipment such as oxygen generators, breathing machines, compressors and the like. Therefore, the requirement for motor testing is increasing day by day, and how to ensure the accuracy of the test result becomes the main research problem at present.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:
the technical problem that accuracy and comprehensiveness of test result output are difficult to guarantee when test data are processed exists in the prior art based on mass data of tests.
Disclosure of Invention
The embodiment of the application solves the technical problems that in the prior art, mass data based on testing exist, and the accuracy and the comprehensiveness of the output of a test result are difficult to ensure when the tested data are processed, and achieves the technical effects that through logical connection of test items, effective scoring is realized according to intelligent generation cross detection, the flexible and diverse requirements of users are met, and the accuracy and the comprehensiveness of scoring conversion of the test result are ensured.
In view of the foregoing problems, embodiments of the present application provide a method and a system for testing an intelligent single-phase asynchronous motor.
In a first aspect, the embodiment of the present application provides an intelligent testing method for a single-phase asynchronous motor, where the method is applied to a scoring system of an intelligent single-phase asynchronous motor, the system includes a first scoring unit, and the method includes: constructing a first test item list according to the first motor information; obtaining a first test parameter according to the first test item list; performing motor testing on the first motor based on the first testing parameters to generate a first testing item score, wherein the score of the first testing item score corresponds to the items of the first testing item list one by one; constructing a first connection item unit, wherein the first connection item unit is stored in the first scoring unit; inputting the first motor information into the first connection item unit to obtain first connection output information of the first connection item unit; obtaining first connection grading information according to the first connection output information; inputting the first connection output information into a first cross scoring logic unit to obtain first cross scoring information; inputting the first connection grading information and the first cross grading information into a motor test grading model, and obtaining first grading information according to the motor test grading model; and generating a first test result according to the first grading information.
In another aspect, the present application further provides a testing system for an intelligent single-phase asynchronous motor, the system including: the first building unit is used for building a first test item list according to the first motor information; the first obtaining unit is used for obtaining a first test parameter according to the first test item list; the first generating unit is used for carrying out motor test on the first motor based on the first test parameter and generating a first test item score, wherein the score of the first test item score corresponds to the items of the first test item list one by one; a second construction unit configured to construct a first connection item unit, wherein the first connection item unit is stored in the first scoring unit; a second obtaining unit, configured to input the first motor information into the first connection item unit, and obtain first connection output information of the first connection item unit; a third obtaining unit, configured to obtain first connection score information according to the first connection output information; a fourth obtaining unit, configured to input the first connection output information into a first cross scoring logic unit, and obtain first cross scoring information; the first input unit is used for inputting the first connection grading information and the first cross grading information into a motor test grading model and acquiring first grading information according to the motor test grading model; and the second generating unit is used for generating a first test result according to the first grading information.
In a third aspect, the present invention provides an intelligent testing system for single-phase asynchronous motors, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method according to the first aspect when executing the program.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
because a first test item list is constructed according to first motor information, test execution parameters of each component in a tested item are generated according to the first test item list, further, a first test item score of each item of a motor is generated according to the corresponding test execution parameters, the first motor information is input into the first connection item unit to analyze a connection item, corresponding first connection score information is generated according to the output item connection relation, the output connection item information is subjected to logic conversion of cross items, so that the first cross score information is obtained, and then the first connection score information and the first cross score information are input into a motor test score model to be subjected to comprehensive scoring, wherein the motor test score model is obtained according to a plurality of groups of training data, therefore, the output comprehensive score is more accurate, the test items are logically connected, effective score is realized according to intelligent generation cross detection, the flexible and diverse requirements of users are met, and the accuracy and the comprehensiveness of score conversion of test results are ensured.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
Fig. 1 is a schematic flowchart of a testing method for an intelligent single-phase asynchronous motor according to an embodiment of the present application;
fig. 2 is a schematic connection scoring flow chart of the testing method for the intelligent single-phase asynchronous motor according to the embodiment of the present application;
fig. 3 is a schematic diagram illustrating a loss reminding process of a testing method for an intelligent single-phase asynchronous motor according to an embodiment of the present application;
fig. 4 is a schematic diagram illustrating a connection item screening process of a testing method for an intelligent single-phase asynchronous motor according to an embodiment of the present application;
fig. 5 is a schematic diagram illustrating a screening process of score data of the testing method of the intelligent single-phase asynchronous motor according to the embodiment of the present application;
fig. 6 is a schematic diagram of a quality detection process of a testing method of an intelligent single-phase asynchronous motor according to an embodiment of the present application;
fig. 7 is a schematic cross-scoring flow chart of a testing method for an intelligent single-phase asynchronous motor according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of a testing system of an intelligent single-phase asynchronous motor according to an embodiment of the present application;
fig. 9 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: the system comprises a first construction unit 11, a first obtaining unit 12, a first generating unit 13, a second construction unit 14, a second obtaining unit 15, a third obtaining unit 16, a fourth obtaining unit 17, a first input unit 18, a second generating unit 19, a computing device 90, a memory 91, a processor 92 and an input-output interface 93.
Detailed Description
The embodiment of the application solves the technical problems that in the prior art, mass data based on testing exist, and the accuracy and the comprehensiveness of the output of a test result are difficult to ensure when the tested data are processed, and achieves the technical effects that through logical connection of test items, effective scoring is realized according to intelligent generation cross detection, the flexible and diverse requirements of users are met, and the accuracy and the comprehensiveness of scoring conversion of the test result are ensured. Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are merely some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.
Summary of the application
In recent years, with the progress of the technological level, higher and higher requirements are provided for the performance and quality indexes of a motor, a motor test system provides necessary data support for motor design, quality inspection and the like, the correctness and the accuracy of test data are important means for verifying the motor design and ensuring the quality of the motor, and motor products of enterprises are rapidly developed due to epidemic situations, so that the motor products become main purposes of the products, and the products of the enterprises play a great role in medical equipment such as oxygen generators, breathing machines, compressors and the like. Therefore, the requirement for motor testing is increasing day by day, and how to ensure the accuracy of the test result becomes the main research problem at present. However, the prior art has the technical problem that the accuracy and comprehensiveness of test result output are difficult to ensure when the test data are processed based on mass data of the test.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application provides a testing method of an intelligent single-phase asynchronous motor, wherein the method is applied to a grading system of the intelligent single-phase asynchronous motor, the system comprises a first grading unit, and the method comprises the following steps: constructing a first test item list according to the first motor information; obtaining a first test parameter according to the first test item list; performing motor testing on the first motor based on the first testing parameters to generate a first testing item score, wherein the score of the first testing item score corresponds to the items of the first testing item list one by one; constructing a first connection item unit, wherein the first connection item unit is stored in the first scoring unit; inputting the first motor information into the first connection item unit to obtain first connection output information of the first connection item unit; obtaining first connection grading information according to the first connection output information; inputting the first connection output information into a first cross scoring logic unit to obtain first cross scoring information; inputting the first connection grading information and the first cross grading information into a motor test grading model, and obtaining first grading information according to the motor test grading model; and generating a first test result according to the first grading information.
Having thus described the general principles of the present application, embodiments thereof will now be described with reference to the accompanying drawings. As can be known to those skilled in the art, with the development of technology and the emergence of new scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.
Example one
As shown in fig. 1, an embodiment of the present application provides an intelligent testing method for a single-phase asynchronous motor, where the method is applied to a scoring system of an intelligent single-phase asynchronous motor, the system includes a first scoring unit, and the method includes:
step S100: constructing a first test item list according to the first motor information;
step S200: obtaining a first test parameter according to the first test item list;
specifically, the first motor is any single-phase asynchronous motor of an enterprise, a corresponding test item list is determined by analyzing the single-phase asynchronous motor, the test item list comprises but is not limited to temperature test, no-load test, efficiency measurement, temperature rise experiment measurement, maximum and minimum torque measurement, overspeed, service life, moisture resistance and heat resistance measurement of the motor, and corresponding test parameters are generated according to specific item information in the first test item list, the motor test is an important link for comprehensively evaluating the assembly quality and technical performance of the motor and is an important process for manufacturing and producing the motor, the first test parameters are parameter setting and corresponding test data of other devices corresponding to the test items, and the first test parameters correspondingly comprise set power and current parameters so as to realize multi-group data acquisition in order to ensure data accuracy of the test process during testing, for example, during no-load testing, therefore, the comprehensiveness of the test data is ensured by determining the corresponding test parameters in advance. Thereby facilitating the project-able management of the data.
Step S300: performing motor testing on the first motor based on the first testing parameters to generate a first testing item score, wherein the score of the first testing item score corresponds to the items of the first testing item list one by one;
specifically, all items in the first test item list are tested according to the first test parameters, and then the tested parameters are scored correspondingly according to all different items, wherein each item in all the test items has corresponding scoring data, the scoring data of each item corresponds to the items in the item list one by one, the scoring can be a group of scoring data, the group of scoring data comprises the scoring data of different test parameters in the same item and represents the evaluation of different scoring fields, and a comprehensive item scoring is generated through calculation, for example, a temperature rise parameter coefficient of the temperature of each item is determined according to the temperature performance capability of the item after the temperature test, so that the temperature rise performance of the motor is evaluated.
Step S400: constructing a first connection item unit, wherein the first connection item unit is stored in the first scoring unit;
step S500: inputting the first motor information into the first connection item unit to obtain first connection output information of the first connection item unit;
step S600: obtaining first connection grading information according to the first connection output information;
specifically, the first connection item unit is located in the first scoring unit, and performs pre-connection processing on all test items before performing further detailed evaluation, wherein the pre-connection processing is performed by analyzing the relevance and the receptivity between the items, so as to output corresponding connection output information, wherein the first connection item unit is configured to perform connection processing on the items, where, for example, a current test and a temperature rise test have a connection relationship, so that the items of the current test and the temperature rise test are connected, so as to generate corresponding connection output information, and so on, analyze all item information in the first test item list, so as to obtain the first connection output information, where information in the first connection output information may have a relationship of overlapping connections, for example, after the current test and the temperature rise test have connection item output, the connection with other items can be carried out. Furthermore, the first connection output information is project connection output information, the project connection can be series connection or parallel connection, the first connection scoring information is obtained by scoring the connection of the connection projects corresponding to the first connection output information, and further, the technical effects of scoring and converting test data and improving the validity of the motor test output result are achieved.
Step S700: inputting the first connection output information into a first cross scoring logic unit to obtain first cross scoring information;
specifically, the first cross scoring logic unit performs item cross scoring on the first connection output information, and since the relationships of all test items have titrated relationships, the cross analysis method is used to make the interrelations of the items into a cross matrix, and cross scoring is completed based on the cross matrix, so as to obtain the first cross scoring information, wherein the first cross scoring information is obtained by implementing the cross connection of the items, and the cross scoring can be implemented to perform detailed expression on the connection relationships of all the items, so that the scoring realizability is increased.
Further, as shown in fig. 7, where the first connection output information is input into a first cross scoring logic unit to obtain first cross scoring information, an embodiment S700 of the present application further includes:
step S710: constructing a first cross-connection unit, wherein the first cross-connection unit is used for cross-connecting the first serial connection item and the first parallel connection item;
step S720: inputting the first connection output information into the first cross-connection unit to obtain first cross-connection information;
step S730: and generating the first cross scoring information by performing matrix cross scoring on the first cross connection information.
Specifically, the first series connection item is series connection item connection output information in the first connection output information, and the first parallel connection item is parallel connection item connection output information in the first connection output information, where the series connection item connection output information is a series connection item relationship that a previous test item needs to be ended and a next test item needs to be connected when a motor is tested, and is a connection series relationship; the parallel connection items are connection item relationships which are tested simultaneously when the motor is tested, and have no connection item relationship with continuity and simultaneity, therefore, corresponding cross calculation matrixes are generated by constructing the first cross connection unit and using the parallel connection items and the serial connection items as item parameters with different dimensionalities, cross calculation is further realized, and corresponding first cross scoring information is generated, wherein the first cross scoring information is the refinement of the first connection scoring information, but the first cross scoring information has scoring comprehensiveness, and has pertinence, so that the technical effect of increasing the complexity and the characteristic of a scoring data sample is achieved.
Step S800: inputting the first connection grading information and the first cross grading information into a motor test grading model, and obtaining first grading information according to the motor test grading model;
step S900: and generating a first test result according to the first grading information.
Specifically, since the data of the first connection score information has test item pertinence, and the data of the first cross score information has test item comprehensiveness, the data of the first cross score information has diversity and characteristics of sample data of model training, so that the first connection score information and the first cross score information are input into a motor test score model to realize the test score output of a motor, wherein the motor test score model is obtained by training a plurality of sets of data to convergence, the plurality of sets of data include the connection score information, the cross score information and data for identifying an output score, so that the data specificity and the score data output accuracy are increased in a machine learning manner, and the first test result is generated according to the first score information, wherein the first test result can be automatically filled by setting generated result format parameters, therefore, the technical effects that through logical connection of the test items, effective scoring is realized according to intelligent generation cross detection of the test items, the flexible and diverse requirements of users are met, and the accuracy and comprehensiveness of scoring conversion of test results are guaranteed are achieved.
Further, as shown in fig. 2, wherein the obtaining of the first connection score information according to the first connection output information further includes, in step S600 of the embodiment of the present application,:
step S610: the first connection item unit comprises a parallel unit and a series unit;
step S620: inputting the first motor information into the first connection item unit, and obtaining a first series item and a first parallel item according to the parallel unit and the series unit;
step S630: performing assignment calculation on the proportion of the first serial items to obtain first serial scoring information;
step S640: carrying out proportion assignment calculation on the first parallel items to obtain first parallel scoring information;
step S650: and generating the first connection grading information according to the first serial grading information and the first parallel grading information.
Specifically, the series unit is used for analyzing and connecting series items according to the first connection output information, and when the series item connection output information is used for testing the motor, the series item relation that the last test item needs to be ended and the next test item needs to be connected is a supporting series relation; the parallel unit is used for analyzing and connecting parallel items according to the first connection output information, the parallel items are connection item relations of testing the motor at the same time when the motor is tested, and the parallel items are parallel relations of testing simultaneity. And respectively carrying out proportion assignment on the series items in the series items to obtain scores of the corresponding series items, further, the proportion assignment in the parallel items is different from the proportion assignment of the series items, determining assignment data of the corresponding items by analyzing the influence degree of the items when the items are connected, and generating the first connection score information according to the data obtained after the proportion calculation of the series items and the parallel items, thereby achieving the technical effect of realizing the score characteristics and the sample diversity of the connectivity items.
Further, as shown in fig. 3, after the generating the first connection score information according to the first serial score information and the first parallel score information, step S650 in this embodiment of the present application further includes:
step S651: inputting the first connection score information into a loss analysis model to obtain first output information of the loss analysis model, wherein the first output information comprises first loss data;
step S652: generating a first evaluation grade according to the first loss data;
step S653: judging whether the first evaluation grade is in a preset evaluation grade threshold value or not;
step S654: and if the first evaluation grade is not in the preset evaluation grade threshold value, obtaining first reminding information, wherein the first reminding information is used for reminding the short board project.
Specifically, since the first connection score information is score information obtained by analyzing the connectivity of items, and has a certain data refining loss when performing a concrete calculation on the first test item score generated by the first test item list, the first connection score information is input into a loss analysis model to analyze the data refining loss, and a corresponding loss degree is output according to the loss analysis model, if the loss degree is too large, it indicates that the current connectivity item score has a certain evaluation deviation, if the evaluation deviation is too large, the items satisfying the condition that the parallel items and the serial items are simultaneously too large in loss are screened based on the theory of the barrel effect, and the short boards in the connection items are reminded according to the reminding information, so that the corresponding items can be proposed out of the connection unit, and the first connection project unit is not involved in connection, so that the scoring loss is reduced, and the scoring accuracy is improved.
Further, as shown in fig. 4, if the first evaluation level is not within the preset evaluation level threshold, the obtaining of the first reminding information includes:
step S6541: constructing a first item screening rule when the first evaluation grade is not in the preset evaluation grade threshold value;
step S6542: respectively screening low-score coincident items of the first series items and the first parallel items in the first connection item unit according to the first item screening rule to obtain first coincident item information;
step S6543: and generating the first reminding information according to the first coincident item information.
Specifically, when the first evaluation level is not within the preset evaluation level threshold, it indicates that the comprehensive evaluation level of the current connection item is low and does not meet a high item connection test level, in order to ensure the accuracy of the test evaluation, item screening is achieved by building a first item screening rule to ensure the accuracy of the data, wherein the first item screening rule is to extract a plurality of data of which corresponding scores are under a preset score threshold value by analyzing all the scores of the connection items, and correspondingly acquiring the project information thereof, if the proposed project information simultaneously meets the traversal coincidence retrieval of the first serial project and the first parallel project, therefore, the overlapped items are used as short board items according to the traversal overlapping retrieval, and the first reminding information is generated, so that the technical effect of ensuring the accuracy and comprehensiveness of the grading conversion of the test results is achieved.
Further, as shown in fig. 5, where the first connection score information and the first cross score information are input into a motor test scoring model, an embodiment S800 of the present application further includes:
step S810: determining first proportional grading information by proportionally dividing the first connection grading information according to grading data;
step S820: obtaining N pieces of proportional scoring information which are greater than or equal to a first preset proportional score in the first proportional scoring information;
step S830: determining second proportional grading information by proportionally dividing the first cross grading information according to grading data;
step S840: obtaining M pieces of proportional scoring information which are greater than or equal to a second preset proportional score in the second proportional scoring information;
step S850: and inputting the N pieces of proportional scoring information and the M pieces of proportional scoring information into the motor test scoring model as input data for scoring.
Specifically, since a plurality of tests or measurements are performed according to the corresponding parameters set for each test item when the first test item list is subjected to item evaluation, the test items, the data characterization and the high-quality grading data screening are carried out on the data for model training, the accuracy of the model data training can be further increased, the response time of the model training can be further reduced, therefore, firstly, the proportion division of all the projects is realized through the main specific requirements of the motor, for example, the performance aspect of the emphasis can occupy a larger proportion, and then the data which is scored by being larger than the preset proportion is respectively extracted from the first connection scoring information and the first cross scoring information, therefore, the extracted scoring data is input into the motor test scoring model as input data for scoring, and the technical effect of improving the accuracy of model scoring and outputting is achieved.
Further, as shown in fig. 6, after the first test item list is constructed according to the first motor information, the system further includes an image capturing device, and in an embodiment S100 of the present application, the method further includes:
step S110: obtaining a first test device list according to the first test item list;
step S120: acquiring images of all devices in the first test device list according to the image acquisition device to obtain a first quality parameter;
step S130: performing device quality detection on the first motor based on the first quality parameter to obtain a first quality detection result;
step S140: and obtaining a first test instruction according to the first quality detection result.
Specifically, the image acquisition device is in communication connection with the system, wherein the image acquisition device comprises an intelligent camera, a data transmission unit and a data processing unit, acquires images of all test devices tested by the first motor according to the image acquisition device, extracts quality characteristics of the images according to the data processing unit, generates corresponding transmission data to realize the transmission of device quality, further detects the device quality according to the transmission data of the image acquisition device to correspondingly obtain a first quality detection result, wherein the process of obtaining the first quality detection result is to realize logistic regression by constructing a logistic regression line, continuously detects the transmitted data as data, and analyzes the detection result according to an aggregation point of the logistic regression line, and when the first quality detection result is passed, testing the first test item list through the first test instruction, so that the technical effect of ensuring the testing accuracy is achieved.
Through the above description of the embodiments, those skilled in the art will clearly understand that the present application can be implemented by software plus necessary general-purpose hardware, and certainly can also be implemented by special-purpose hardware including special-purpose integrated circuits, special-purpose CPUs, special-purpose memories, special-purpose components and the like. Generally, functions performed by computer programs can be easily implemented by corresponding hardware, and specific hardware structures for implementing the same functions may be various, such as analog circuits, digital circuits, or dedicated circuits. However, for the present application, the implementation of a software program is more preferable. Based on such understanding, the technical solutions of the present application may be substantially embodied in the form of a software product, which is stored in a readable storage medium, such as a floppy disk, a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk of a computer, and includes several instructions for causing a computer device to execute the method according to the embodiments of the present application.
To sum up, the testing method and system for the intelligent single-phase asynchronous motor provided by the embodiment of the application have the following technical effects:
1. because a first test item list is constructed according to first motor information, test execution parameters of each component in a tested item are generated according to the first test item list, further, a first test item score of each item of a motor is generated according to the corresponding test execution parameters, the first motor information is input into the first connection item unit to analyze a connection item, corresponding first connection score information is generated according to the output item connection relation, the output connection item information is subjected to logic conversion of cross items, so that the first cross score information is obtained, and then the first connection score information and the first cross score information are input into a motor test score model to be subjected to comprehensive scoring, wherein the motor test score model is obtained according to a plurality of groups of training data, therefore, the output comprehensive score is more accurate, the test items are logically connected, effective score is realized according to intelligent generation cross detection, the flexible and diverse requirements of users are met, and the accuracy and the comprehensiveness of score conversion of test results are ensured.
2. The data which is larger than the preset proportion score is extracted from the first connection score information and the first cross score information respectively, so that the extracted score data is input into the motor test score model as input data to be scored, and the technical effect of improving the accuracy of the model score and the accuracy of the output is achieved.
3. Because the assigned value data is determined by analyzing the influence degree of the corresponding project when the projects are connected, the first connection scoring information is generated according to the data after the proportion calculation of the series project and the parallel project, and the technical effect of realizing the scoring characteristics and the sample diversity of the connectivity project is achieved.
Example two
Based on the same inventive concept as the testing method of the intelligent single-phase asynchronous motor in the foregoing embodiment, the present invention further provides a testing system of the intelligent single-phase asynchronous motor, as shown in fig. 8, the system includes:
the first building unit 11, the first building unit 11 is used for building a first test item list according to the first motor information;
a first obtaining unit 12, where the first obtaining unit 12 is configured to obtain a first test parameter according to the first test item list;
a first generating unit 13, where the first generating unit 13 is configured to perform a motor test on the first motor based on the first test parameter, and generate a first test item score, where a score of the first test item score corresponds to an item of the first test item list one to one;
a second constructing unit 14, wherein the second constructing unit 14 is used for constructing a first connection item unit, and the first connection item unit is stored in the first scoring unit;
a second obtaining unit 15, where the second obtaining unit 15 is configured to input the first motor information into the first connection item unit, and obtain first connection output information of the first connection item unit;
a third obtaining unit 16, where the third obtaining unit 16 is configured to obtain first connection score information according to the first connection output information;
a fourth obtaining unit 17, where the fourth obtaining unit 17 is configured to input the first connection output information into a first cross scoring logic unit, and obtain first cross scoring information;
a first input unit 18, where the first input unit 18 is configured to input the first connection scoring information and the first cross scoring information into a motor test scoring model, and obtain first scoring information according to the motor test scoring model;
a second generating unit 19, where the second generating unit 19 is configured to generate a first test result according to the first scoring information.
Further, the system further comprises:
a fifth obtaining unit for the first connection item unit to include a parallel unit and a series unit;
a sixth obtaining unit, configured to input the first motor information into the first connection item unit, and obtain a first series item and a first parallel item according to the parallel unit and the series unit;
a seventh obtaining unit, configured to obtain first serial scoring information by performing assignment calculation on the first serial item;
an eighth obtaining unit, configured to obtain first parallel scoring information by performing assignment calculation on the first parallel items;
a third generating unit, configured to generate the first connection rating information according to the first serial rating information and the first parallel rating information.
Further, the system further comprises:
a ninth obtaining unit, configured to input the first connection score information into a loss analysis model, and obtain first output information of the loss analysis model, where the first output information includes first loss data;
a fourth generating unit configured to generate a first evaluation level according to the first loss data;
the first judging unit is used for judging whether the first evaluation grade is in a preset evaluation grade threshold value or not;
a tenth obtaining unit, configured to obtain first reminding information if the first evaluation level is not within the preset evaluation level threshold, where the first reminding information is used to remind a short board project.
Further, the system further comprises:
the third construction unit is used for constructing a first project screening rule if the first evaluation grade is not in the preset evaluation grade threshold value;
the first screening unit is used for screening low-score coincident items of the first serial items and the first parallel items in the first connection item unit according to the first item screening rule to obtain first coincident item information;
a fifth generating unit, configured to generate the first reminder information according to the first coincidence item information.
Further, the system further comprises:
a first determination unit configured to determine first proportional score information by proportionally dividing the first connection score information according to score data;
an eleventh obtaining unit, configured to obtain N pieces of proportional score information that are greater than or equal to a first preset proportional score in the first proportional score information;
a second determining unit, configured to determine second proportional scoring information by proportionally dividing the first cross scoring information according to scoring data;
a twelfth obtaining unit, configured to obtain M pieces of proportional score information that are greater than or equal to a second preset proportional score in the second proportional score information;
and the second input unit is used for inputting the N pieces of proportional scoring information and the M pieces of proportional scoring information into the motor test scoring model as input data for scoring.
Further, the system further comprises:
a thirteenth obtaining unit, configured to obtain a first test device list according to the first test item list;
a fourteenth obtaining unit, configured to perform image acquisition on all devices in the first test device list according to the image acquisition device to obtain a first quality parameter;
a fifteenth obtaining unit, configured to perform device quality detection on the first motor based on the first quality parameter, and obtain a first quality detection result;
a sixteenth obtaining unit, configured to obtain a first test instruction according to the first quality detection result.
Further, the system further comprises:
a fourth constructing unit, configured to construct a first cross-connection unit, wherein the first cross-connection unit is configured to cross-connect the first serial item and the first parallel item;
a seventeenth obtaining unit, configured to input the first connection output information into the first cross-connection unit, and obtain first cross-connection information;
a sixth generating unit configured to generate the first cross-scoring information by performing matrix cross-scoring on the first cross-connection information.
In the embodiment of the present application, the network device and the terminal device may be divided into functional modules according to the above method example, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one receiving module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. It should be noted that, in the embodiment of the present application, the division of the module is schematic, and is only one logic function division, and there may be another division manner in actual implementation. Through the foregoing detailed description of the testing method of the intelligent single-phase asynchronous motor, those skilled in the art can clearly know the implementation method of the testing system of the intelligent single-phase asynchronous motor in the present embodiment, so for the brevity of the description, detailed description is omitted here.
Exemplary electronic device
FIG. 9 is a schematic diagram of a computing device of the present application. The computing device 90 shown in fig. 9 may include a memory 91, a processor 92, and an input/output interface 93. The memory 91, the processor 92 and the input/output interface 93 are connected through an internal connection path, the memory 33 is used for storing instructions, and the processor 92 is used for executing the instructions stored in the memory 91 so as to control the input/output interface 93 to receive input data and information and output data such as operation results.
FIG. 9 is a schematic diagram of a computing device of another embodiment of the present application. The computing device 90 shown in fig. 9 may include a memory 91, a processor 92, and an input/output interface 93. Wherein, the memory 91, the processor 92 and the input/output interface 93 are connected through an internal connection path, the memory 91 is used for storing instructions, and the processor 92 is used for executing the instructions stored in the memory 92, so as to control the input/output interface 93 to receive input data and information and output data such as operation results.
In implementation, the steps of the above method may be performed by instructions in the form of hardware, integrated logic circuits, or software in the processor 92. The method for recognizing the abnormal message and/or the method for training the abnormal message recognition model disclosed by the embodiment of the application can be directly implemented by a hardware processor, or implemented by combining hardware and software modules in the processor. The software module may be located in ram, flash memory, rom, prom or eprom, registers, etc. storage media that are well known in the art. The storage medium is located in the memory 91, and the processor 92 reads the information in the memory 91 and performs the steps of the above method in combination with the hardware thereof. To avoid repetition, it is not described in detail here.
It should be understood that in the embodiments of the present application, the processor may be a Central Processing Unit (CPU), and the processor may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
It will be appreciated that in embodiments of the present application, the memory may comprise both read-only memory and random access memory, and may provide instructions and data to the processor. A portion of the processor may also include non-volatile random access memory. For example, the processor may also store information of the device type.
It should be understood that, in the various embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
In the several embodiments provided in this application, it should be understood that the disclosed system, and method may be implemented in other ways. For example, the above-described system embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, systems or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable system. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be read by a computer or a data storage device including one or more available media integrated servers, data centers, and the like. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., Digital Versatile Disk (DVD)), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (9)
1. A testing method of an intelligent single-phase asynchronous motor is applied to a grading system of the intelligent single-phase asynchronous motor, the system comprises a first grading unit, and the method comprises the following steps:
constructing a first test item list according to the first motor information;
obtaining a first test parameter according to the first test item list;
performing motor testing on the first motor based on the first testing parameters to generate a first testing item score, wherein the score of the first testing item score corresponds to the items of the first testing item list one by one;
constructing a first connection item unit, wherein the first connection item unit is stored in the first scoring unit;
inputting the first motor information into the first connection item unit to obtain first connection output information of the first connection item unit;
obtaining first connection grading information according to the first connection output information;
inputting the first connection output information into a first cross scoring logic unit to obtain first cross scoring information;
inputting the first connection grading information and the first cross grading information into a motor test grading model, and obtaining first grading information according to the motor test grading model;
and generating a first test result according to the first grading information.
2. The method of claim 1, wherein the obtaining first connection score information from the first connection output information, the method further comprises:
the first connection item unit comprises a parallel unit and a series unit;
inputting the first motor information into the first connection item unit, and obtaining a first series item and a first parallel item according to the parallel unit and the series unit;
performing assignment calculation on the proportion of the first serial items to obtain first serial scoring information;
carrying out proportion assignment calculation on the first parallel items to obtain first parallel scoring information;
and generating the first connection grading information according to the first serial grading information and the first parallel grading information.
3. The method of claim 2, wherein after generating the first connection score information from the first series score information and the first parallel score information, the method further comprises:
inputting the first connection score information into a loss analysis model to obtain first output information of the loss analysis model, wherein the first output information comprises first loss data;
generating a first evaluation grade according to the first loss data;
judging whether the first evaluation grade is in a preset evaluation grade threshold value or not;
and if the first evaluation grade is not in the preset evaluation grade threshold value, obtaining first reminding information, wherein the first reminding information is used for reminding the short board project.
4. The method of claim 3, wherein if the first evaluation level is not within the preset evaluation level threshold, obtaining a first reminder information, the method further comprising:
if the first evaluation grade is not in the preset evaluation grade threshold value, constructing a first item screening rule;
respectively screening low-score coincident items of the first series items and the first parallel items in the first connection item unit according to the first item screening rule to obtain first coincident item information;
and generating the first reminding information according to the first coincident item information.
5. The method of claim 1, said inputting said first connection score information and said first cross-score information into a motor test scoring model, said method further comprising:
determining first proportional grading information by proportionally dividing the first connection grading information according to grading data;
obtaining N pieces of proportional scoring information which are greater than or equal to a first preset proportional score in the first proportional scoring information;
determining second proportional grading information by proportionally dividing the first cross grading information according to grading data;
obtaining M pieces of proportional scoring information which are greater than or equal to a second preset proportional score in the second proportional scoring information;
and inputting the N pieces of proportional scoring information and the M pieces of proportional scoring information into the motor test scoring model as input data for scoring.
6. The method of claim 1, wherein after constructing the first list of test items based on the first motor information, the system further comprises an image capture device, the method further comprising:
obtaining a first test device list according to the first test item list;
acquiring images of all devices in the first test device list according to the image acquisition device to obtain a first quality parameter;
performing device quality detection on the first motor based on the first quality parameter to obtain a first quality detection result;
and obtaining a first test instruction according to the first quality detection result.
7. The method of claim 2, wherein said inputting said first connection output information into a first cross-scoring logic unit obtains first cross-scoring information, said method further comprising:
constructing a first cross-connection unit, wherein the first cross-connection unit is used for cross-connecting the first serial connection item and the first parallel connection item;
inputting the first connection output information into the first cross-connection unit to obtain first cross-connection information;
and generating the first cross scoring information by performing matrix cross scoring on the first cross connection information.
8. A testing system for an intelligent single-phase asynchronous motor, wherein the system comprises:
the first building unit is used for building a first test item list according to the first motor information;
the first obtaining unit is used for obtaining a first test parameter according to the first test item list;
the first generating unit is used for carrying out motor test on the first motor based on the first test parameter and generating a first test item score, wherein the score of the first test item score corresponds to the items of the first test item list one by one;
a second construction unit configured to construct a first connection item unit, wherein the first connection item unit is stored in the first scoring unit;
a second obtaining unit, configured to input the first motor information into the first connection item unit, and obtain first connection output information of the first connection item unit;
a third obtaining unit, configured to obtain first connection score information according to the first connection output information;
a fourth obtaining unit, configured to input the first connection output information into a first cross scoring logic unit, and obtain first cross scoring information;
the first input unit is used for inputting the first connection grading information and the first cross grading information into a motor test grading model and acquiring first grading information according to the motor test grading model;
and the second generating unit is used for generating a first test result according to the first grading information.
9. A testing system for an intelligent single-phase asynchronous motor, comprising at least one processor and a memory, the at least one processor coupled to the memory for reading and executing instructions in the memory to perform the method of any of claims 1-7.
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