CN111914208A - Detection system and method based on relative quality index early warning - Google Patents
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- 230000009467 reduction Effects 0.000 abstract description 4
- 238000013178 mathematical model Methods 0.000 abstract description 3
- 239000005747 Chlorothalonil Substances 0.000 description 4
- CRQQGFGUEAVUIL-UHFFFAOYSA-N chlorothalonil Chemical compound ClC1=C(Cl)C(C#N)=C(Cl)C(C#N)=C1Cl CRQQGFGUEAVUIL-UHFFFAOYSA-N 0.000 description 4
- 238000002834 transmittance Methods 0.000 description 4
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- 241000220225 Malus Species 0.000 description 2
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Abstract
The invention discloses a detection system and a method thereof based on relative quality index early warning, which comprises a detection module, a data acquisition module, a quality analysis module, a judgment module and an early warning module; the detection module detects actual parameters of the product; the data acquisition module sends the actual parameters to the quality analysis module; the quality analysis module calculates the relative quality index of the product according to the actual parameters of the product; the judgment module is preset with an early warning quality index and is used for comparing the relative quality index with the early warning quality index; and the early warning module gives an alarm when the relative quality index is lower than the early warning quality index. The invention is built in a modularized mode, not only can detect the quality of products, but also can send out an alarm in real time to the product batch lower than the early warning quality index line by building a relative quality index mathematical model and describing a relative quality index curve, thereby guiding the adjustment of front-end production process parameters in time, and having the advantages of quality evaluation, real-time early warning, improvement of yield, reduction of production cost and the like.
Description
Technical Field
The invention relates to the technical field of product detection, in particular to a detection system and a detection method based on relative quality index early warning.
Background
With the advent of the industrial 4.0 era, the informatization of industrial manufacture is a necessary requirement, and all production links form a closed-loop networking link through big data. The product detection is the guarantee of the product quality and is an important component of the production link. Currently, the detection systems on the market sort only for qualified or unqualified products and optimize them in terms of detection efficiency and manufacturing cost, as in chinese patent applications 201610722201.1 and 201811227797.3. With the rapid development of integrated circuits, the improvement in detection efficiency has been limited. The manufacturing cost of the product is only realized by reducing the manufacturing cost of the detection system, and cannot be controlled from the production source of the product. In addition, the process analysis and optimization after the unqualified products are sorted has obvious hysteresis, and the production cost can be further increased if the unqualified products are repaired. The existing detection systems only simply detect the quality of products, such as Chinese patent application 201820155661.5, and cannot perform early warning and prompt on each process link on a production line. The chinese patent application 201410069318.5 with an early warning link is also only applied to the field of fatigue driving. A detection system for carrying out real-time early warning on the product quality is not found in the field of product detection.
In summary, under the existing process conditions, the detection system and the detection method based on the relative quality index early warning are invented, and have practical and feasible significance for quality evaluation, real-time early warning, yield improvement and production cost reduction.
Disclosure of Invention
The invention aims to provide a detection system and a detection method based on relative quality index early warning, which can not only detect the quality of products, but also send out alarms in real time for product batches below a quality early warning line through a relative quality index curve so as to guide the adjustment of front-end production process parameters in time, and have the advantages of quality evaluation, real-time early warning, improvement of yield and the like.
In order to achieve the above purpose, the solution of the invention is:
a detection system based on relative quality index early warning comprises a detection module, a data acquisition module, a quality analysis module, a judgment module and an early warning module; the detection module is used for detecting actual parameters of the product; the data acquisition module is used for sending the actual parameters detected by the detection module to the quality analysis module; the quality analysis module is used for calculating a relative quality index of the product according to the actual parameters of the product, wherein the relative quality index is a quality trend of a subsequent product obtained by calculating the deviation amplitude of the actual parameters and the standard parameters of the continuously produced product; the judgment module is preset with an early warning quality index and is used for comparing the relative quality index of the product with the early warning quality index; the early warning module is used for giving an alarm when the relative quality index of the product is lower than the early warning quality index.
The quality analysis module is based on an equation
Calculating the relative quality index of the product, wherein RQI represents the relative quality index, OSM represents the average value exceeding the standard, USM represents the average value lower than the standard, and for the Nth product to be detected continuously, presetting a continuous comparison quantity K,
when N is less than or equal to K,
when the N is greater than the K, the N is more than the K,
in the formula, AD represents a test parameter acquisition value of a product, and SD represents a test parameter standard value of the product; tpn (X) is a value function, and when X > 0, tpn (X) is equal to X, and when X is equal to or less than 0, tpn (X) is equal to 0.
A detection method based on relative quality index early warning comprises the following steps:
and 4, comparing the relative quality index of the Nth product with the early warning quality index, judging to send out an alarm by the detection equipment when the relative quality index is lower than the early warning quality index, and cancelling the alarm by the detection equipment when the relative quality index is higher than the early warning quality index.
In the step 3, the relative quality index of the Nth product
Wherein RQI represents the relative quality index, OSM represents the mean value over the standard, USM represents the mean value under the standard,
when N is less than or equal to K,
when the N is greater than the K, the N is more than the K,
in the formula, AD represents a test parameter acquisition value of a product, and SD represents a test parameter standard value of the product; tpn (X) is a value function, and when X > 0, tpn (X) is equal to X, and when X is equal to or less than 0, tpn (X) is equal to 0.
After the technical scheme is adopted, the intelligent monitoring system is built in a modularized mode, not only can the quality of products be detected, but also the relative quality index mathematical model is built, the relative quality index curve is described, an alarm is given to the product batches lower than the early warning quality index line in real time, and the products with greatly fluctuating quality or the product batches with continuously reduced quality are found, so that the adjustment of front-end production process parameters is guided in time, and the intelligent monitoring system has the advantages of quality evaluation, real-time early warning, yield improvement, production cost reduction and the like.
Drawings
FIG. 1 is a block diagram of a detection system of the present invention;
FIG. 2 is a schematic flow chart of the detection method of the present invention;
FIG. 3 is a graph of relative quality index for audio detection according to the present invention;
FIG. 4 is a graph of relative quality index for transmittance measurements according to the present invention;
FIG. 5 is a graph of relative quality index for the assay of chlorothalonil in accordance with the present invention;
the reference numbers illustrate: a detection module 1; a data acquisition module 2; a quality analysis module 3; a judgment module 4; and an early warning module 5.
Detailed Description
In order to further explain the technical solution of the present invention, the present invention is explained in detail by the following specific examples.
Referring to fig. 1, the invention includes a detection system based on relative quality index early warning, which includes a detection module 1, a data acquisition module 2, a quality analysis module 3, a judgment module 4, and an early warning module 5.
The detection module 1 is used for detecting actual parameters of products; the data acquisition module 2 is used for sending the actual parameters detected by the detection module 1 to the quality analysis module 3; the quality analysis module 3 is used for calculating a relative quality index of the product according to the actual parameters of the product, wherein the relative quality index is a quality trend of a subsequent product obtained by calculating the deviation amplitude of the actual parameters and the standard parameters of the continuously produced product; the judgment module 4 is preset with an early warning quality index for comparing the relative quality index of the product with the early warning quality index; the early warning module 5 is used for giving an alarm when the relative quality index of the product is lower than the early warning quality index.
The quality analysis module 3 is based on an equation
Calculating the relative quality index of the product, wherein RQI represents the relative quality index, OSM represents the average value exceeding the standard, USM represents the average value lower than the standard, and for the Nth product to be detected continuously, presetting a continuous comparison quantity K,
when N is less than or equal to K,
when the N is greater than the K, the N is more than the K,
in the formula, AD represents a test parameter acquisition value of a product, and SD represents a test parameter standard value of the product; tpn (X) is a value function, and when X > 0, tpn (X) is equal to X, and when X is equal to or less than 0, tpn (X) is equal to 0.
Referring to fig. 2, the present invention further includes a detection method based on the relative quality index pre-warning, which includes the following steps:
and 4, comparing the relative quality index of the Nth product with the early warning quality index, judging to send out an alarm by the detection equipment when the relative quality index is lower than the early warning quality index, and cancelling the alarm by the detection equipment when the relative quality index is higher than the early warning quality index.
In step 3, the relative quality index of the Nth product
Wherein RQI represents the relative quality index, OSM represents the mean value over the standard, USM represents the mean value under the standard,
when N is less than or equal to K,
when the N is greater than the K, the N is more than the K,
in the formula, AD represents a test parameter acquisition value of a product, and SD represents a test parameter standard value of the product; tpn (X) is a value function, and when X > 0, tpn (X) is equal to X, and when X is equal to or less than 0, tpn (X) is equal to 0.
The invention is built in a modularized way, not only can detect the quality of products, but also can send out an alarm in real time for the product batches lower than the early warning quality index line by building a relative quality index mathematical model and describing a relative quality index curve, and find out the products with greatly fluctuating quality or the product batches with continuously reduced quality, thereby guiding the adjustment of front-end production process parameters in time, and having the advantages of quality evaluation, real-time early warning, improvement of yield, reduction of production cost and the like.
Referring to fig. 3, audio detection of a building intercom system is taken as an example.
Step one, setting the continuous comparison number K to be 10, wherein the input audio test standard fidelity is 80% and the early warning quality index is 40; secondly, the audio fidelity of 10 products collected by the detection module 1 and the data collection module 2 is as shown in the following table; thirdly, calculating to obtain the relative quality index of each product during testing; and fourthly, judging whether the relative quality index is lower than the early warning quality index or not and whether an alarm is needed or not.
Referring to fig. 4, the transmittance of glass is measured as an example.
Step one, setting the continuous comparison number K to be 10, and inputting glass with the standard light transmittance of 90% and the early warning quality index of 40; secondly, the light transmittance of 10 products collected by the detection module 1 and the data collection module 2 is as follows; thirdly, calculating to obtain the relative quality index of each product during testing; and fourthly, judging whether the relative quality index is lower than the early warning quality index or not and whether an alarm is needed or not.
Referring to FIG. 5, the detection of apple pesticide residue (chlorothalonil) is taken as an example.
Step one, setting the continuous comparison quantity K to 10, inputting the chlorothalonil standard of 1mg/kg and the early warning quality index of 40; secondly, the chlorothalonil content of 10 apples collected by the detection module 1 and the data collection module 2 is as shown in the following table; thirdly, calculating to obtain the relative quality index of each product during testing; and fourthly, judging whether the relative quality index is lower than the early warning quality index or not and whether an alarm is needed or not.
The above embodiments and drawings are not intended to limit the form and style of the present invention, and any suitable changes or modifications thereof by those skilled in the art should be considered as not departing from the scope of the present invention.
Claims (4)
1. The utility model provides a detecting system based on relative quality index early warning which characterized in that: the device comprises a detection module, a data acquisition module, a quality analysis module, a judgment module and an early warning module;
the detection module is used for detecting actual parameters of the product;
the data acquisition module is used for sending the actual parameters detected by the detection module to the quality analysis module;
the quality analysis module is used for calculating a relative quality index of the product according to the actual parameters of the product, wherein the relative quality index is a quality trend of a subsequent product obtained by calculating the deviation amplitude of the actual parameters and the standard parameters of the continuously produced product;
the judgment module is preset with an early warning quality index and is used for comparing the relative quality index of the product with the early warning quality index;
the early warning module is used for giving an alarm when the relative quality index of the product is lower than the early warning quality index.
2. The detection system based on relative quality index warning as claimed in claim 1, wherein:
the quality analysis module is based on an equation
Calculating the relative quality index of the product, wherein RQI represents the relative quality index, OSM represents the average value exceeding the standard, USM represents the average value lower than the standard, and for the Nth product to be detected continuously, presetting a continuous comparison quantity K,
when N is less than or equal to K,
when the N is greater than the K, the N is more than the K,
in the formula, AD represents a test parameter acquisition value of a product, and SD represents a test parameter standard value of the product; tpn (X) is a value function, and when X > 0, tpn (X) is equal to X, and when X is equal to or less than 0, tpn (X) is equal to 0.
3. A detection method based on relative quality index early warning is characterized by comprising the following steps:
step 1, presetting a continuous comparison quantity K, a test parameter standard value and an early warning quality index of a product on detection equipment;
step 2, the detection equipment collects the test parameters of the tested product;
step 3, aiming at the continuously detected Nth product, comparing the test parameter standard values of the previous continuous K products including the Nth product and the product to calculate the relative quality index of the Nth product;
and 4, comparing the relative quality index of the Nth product with the early warning quality index, judging to send out an alarm by the detection equipment when the relative quality index is lower than the early warning quality index, and cancelling the alarm by the detection equipment when the relative quality index is higher than the early warning quality index.
4. The detection method based on the relative quality index early warning as claimed in claim 3, characterized in that:
in the step 3, the relative quality index of the Nth product
Wherein RQI represents the relative quality index, OSM represents the mean value over the standard, USM represents the mean value under the standard,
when N is less than or equal to K,
when the N is greater than the K, the N is more than the K,
in the formula, AD represents a test parameter acquisition value of a product, and SD represents a test parameter standard value of the product; tpn (X) is a value function, and when X > 0, tpn (X) is equal to X, and when X is equal to or less than 0, tpn (X) is equal to 0.
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Effective date of registration: 20231207 Address after: 361000 No. 65 South South Road, Jimei District, Fujian, Xiamen Patentee after: XIAMEN LEELEN TECHNOLOGY Co.,Ltd. Address before: No.9 Shigu Road, Jimei District, Xiamen City, Fujian Province 361000 Patentee before: JIMEI University Patentee before: XIAMEN LEELEN TECHNOLOGY Co.,Ltd. |