CN108958073B - Method and electric appliance for verifying product function point logic by using experimental big data - Google Patents
Method and electric appliance for verifying product function point logic by using experimental big data Download PDFInfo
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- CN108958073B CN108958073B CN201810628796.3A CN201810628796A CN108958073B CN 108958073 B CN108958073 B CN 108958073B CN 201810628796 A CN201810628796 A CN 201810628796A CN 108958073 B CN108958073 B CN 108958073B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
Abstract
The invention discloses a method and an electric appliance for verifying product function point logic by using experimental big data, wherein the method comprises the following steps: step 1, importing at least one experiment database corresponding to a product; step 2, retrieving a piece of relevant data of the corresponding function point at the beginning of the function according to the time sequence of data storage; step 3, retrieving a piece of relevant data of the corresponding function point at the end of the function; step 4, combining the two data to generate data of one operation period of the function point; step 5, returning to the step 2 to retrieve the data of the next operation period until the data of all the operation periods corresponding to the function point are retrieved, and simultaneously executing the step 6 to compare the data of the current operation period of the function point with the data value range logically corresponding to the function point to be tested; if the value falls into the value range, recording to be qualified; otherwise, the mark is unqualified. The invention effectively utilizes big data of a laboratory, saves manpower and simultaneously enhances the reliability of products.
Description
Technical Field
The invention relates to testing of electric products, in particular to a method for verifying a product function point by utilizing experimental big data and an electric product tested by adopting the method.
Background
In the functional design stage, research personnel can give corresponding logics aiming at each functional point of the product, including relevant parameters and parameter value ranges of each functional point, and after the hardware is processed and assembled, the testing needs to be carried out aiming at each functional point to verify whether the logics of each functional point are correct. In the prior art, each logic function point can be verified through controller testing, and the database can be checked manually, so that the verification of the function points is completed. Both of these approaches have corresponding problems, such as the controller testing can only verify a single function point, and the manual checking is labor intensive.
And a large amount of data are stored after long-term operation in various working condition experiments in a laboratory. Not only is real, but also has complex working conditions and wide coverage. Therefore, it is an urgent technical problem in the art to provide a method for verifying a product function point by using experimental big data.
Disclosure of Invention
In order to solve the above problems in the prior art, the present invention provides a method for verifying product function point logic by using experimental big data, comprising:
step 1, importing at least one experiment database corresponding to a product;
step 2, retrieving a piece of relevant data of the corresponding function point at the beginning of the function according to the time sequence of data storage;
step 3, continuously searching a piece of relevant data of the corresponding function point at the end of the function;
step 4, combining the data of the start and the end of the function point to generate data of one operation period of the function point;
step 5, returning to the step 2 to continue to retrieve the data of the next operation period until the data of all the operation periods corresponding to the function point are retrieved; continuing the next step;
step 6, comparing the data of the current operation period of the function point with the data value range logically corresponding to the function point to be tested; if the value falls into the value range, recording to be qualified; otherwise, the mark is unqualified.
Preferably, in the steps 2 and 3, after the relevant data is retrieved, the key parameters and time corresponding to the functional point are further extracted.
In a specific embodiment, the steps 2 and 3 obtain data at the beginning and the end of the function by retrieving different values of the function flag.
The invention also provides electric appliances verified by the method in the technical scheme, including refrigerators, air conditioners and the like.
The invention can realize automatic test verification through software, solves the problem that only simulation test can be carried out during the test of the controller, and additionally solves the problem of checking a huge database in a laboratory through manpower, thereby perfecting the test flow, effectively utilizing the big data accumulated in the laboratory for verification, being beneficial to further conforming the program and logic of the controller by manufacturers, and enhancing the reliability of product quality.
Drawings
The invention is described in detail below with reference to examples and figures, in which:
FIG. 1 is a flow chart of the present invention.
Detailed Description
FIG. 1 is a specific embodiment of the present invention, which uses rich laboratory big data to verify the logic of this functional point of air-conditioning frost.
Step 1, importing one experiment database corresponding to the air conditioner, or importing a plurality of experiment databases.
And 2, searching the first relevant data of the defrosting at the beginning of defrosting according to the time sequence of data storage, wherein in the embodiment, a search interface can adopt a database parameter name generation menu, a selection 'defrosting zone bit' is provided in the search interface, and the corresponding value can be checked to be '1'. And then extracting key parameters, time and the like of defrosting starting from the data to generate a record of starting defrosting.
And 3, continuously searching a piece of related data of which the defrosting is finished after the previous piece of data, namely selecting the data with the defrosting flag bit value of 0, and then extracting key parameters and time for finishing the defrosting in the data.
And 4, combining the data at the beginning and the end of the group to generate data of one operating cycle of the function point, wherein the data comprises key parameters of defrosting entry time and defrosting exit time, defrosting duration and the like.
And 5, continuing to return to the step 2 to continue to retrieve the data of the next operation period until the data of all the operation periods corresponding to the function point are retrieved. Simultaneously executing the step 6;
step 6, comparing the data of the current operation period of the function point with the data value range logically corresponding to the function point to be tested; if the value falls into the value range, recording to be qualified; otherwise, marking the mark as unqualified, and making an alarm mark for searching and analyzing by experimenters. The specific operation of the part can be realized by manually kicking out the data value range corresponding to the function point logic from the product function book, inputting the data value range into software for storage, and automatically comparing the data value range with the software to judge whether the current defrosting period is in the range.
Based on the method, the invention also protects the electric appliances verified by the method, such as refrigerators, air conditioners and the like.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (5)
1. A method for verifying product function point logic by using experimental big data is characterized by comprising the following steps:
step 1, importing at least one experiment database corresponding to a product;
step 2, retrieving a piece of relevant data of the corresponding function point at the beginning of the function according to the time sequence of data storage;
step 3, continuously searching a piece of relevant data of the corresponding function point at the end of the function;
step 4, combining the data of the start and the end of the function point to generate data of one operation period of the function point;
step 5, returning to the step 2 to continue to retrieve the data of the next operation period until the data of all the operation periods corresponding to the function point are retrieved; continuing the next step;
step 6, comparing the data of the current operation period of the function point with the data value range logically corresponding to the function point to be tested; if the value falls into the value range, recording to be qualified; otherwise, the mark is unqualified.
2. The method according to claim 1, wherein in the steps 2 and 3, after the related data is retrieved, the key parameters and time corresponding to the functional point are further extracted.
3. The method of claim 1, wherein in the steps 2 and 3, the data at the beginning and the end of the function are obtained by retrieving different values of the function flag bit.
4. An appliance characterized in that the product function point logic is verified using the method according to claim 1 or 2.
5. The appliance of claim 4, wherein the appliance comprises a refrigerator, an air conditioner.
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| CN201810628796.3A CN108958073B (en) | 2018-06-19 | 2018-06-19 | Method and electric appliance for verifying product function point logic by using experimental big data |
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| CN201810628796.3A CN108958073B (en) | 2018-06-19 | 2018-06-19 | Method and electric appliance for verifying product function point logic by using experimental big data |
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| CN108958073A CN108958073A (en) | 2018-12-07 |
| CN108958073B true CN108958073B (en) | 2020-10-20 |
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