CN117516868A - Intelligent detection system of optical divider - Google Patents
Intelligent detection system of optical divider Download PDFInfo
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- CN117516868A CN117516868A CN202311380345.XA CN202311380345A CN117516868A CN 117516868 A CN117516868 A CN 117516868A CN 202311380345 A CN202311380345 A CN 202311380345A CN 117516868 A CN117516868 A CN 117516868A
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- 230000005540 biological transmission Effects 0.000 claims abstract description 28
- 238000007405 data analysis Methods 0.000 claims abstract description 25
- 230000010354 integration Effects 0.000 claims description 12
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- G—PHYSICS
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- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention relates to the technical field of optical splitter detection, and discloses an intelligent optical splitter detection system which comprises an integrated IT comprehensive platform; the integrated IT comprehensive platform comprises a product detection unit and a data analysis unit, wherein the product detection unit is used for scanning and detecting a product and transmitting scanned and detected data to the data analysis unit through a first transmission module, and the data analysis unit receives the data through a second transmission module and performs analysis statistics on the data; the database storage is used for storing the data analyzed and counted by the data analysis unit and transmitting the data to the cloud storage for backup through the third transmission module; the invention realizes real-time automatic acquisition and intelligent analysis of the detection data of the optical splitter to form quality early warning, SPC control chart and analysis; so as to be used for guiding production and quality improvement, has the advantages of simple operation, capability of monitoring the quality of products in real time, effective control of the quality stability of the products and the like.
Description
Technical Field
The invention relates to the technical field of optical splitter detection, in particular to an intelligent optical splitter detection system.
Background
The optical splitter is a passive device, also called an optical splitter, which does not require external energy as long as there is input light. The beam splitter is formed by bonding an input array, a chip and an output array together by specific glue, and has the function of equally dividing 1 beam of light into N (N can be 2/4/8/16/32/64/128 and the like) beams of light paths for transmission, so that the equal division function is achieved. Before the optical divider leaves the factory, the quality of the optical divider product needs to be detected, so that the operation is simpler for guiding the production quality conveniently, and the intelligent detection system of the optical divider is provided.
Disclosure of Invention
The invention aims to provide an intelligent detection system of an optical splitter, so as to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
an intelligent detection system for an optical splitter, comprising:
an integrated IT integrated platform;
the integrated IT comprehensive platform comprises a product detection unit and a data analysis unit, wherein the product detection unit is used for scanning and detecting a product, transmitting scanned and detected data to the data analysis unit through a first transmission module, and the data analysis unit receives the data through a second transmission module and performs analysis statistics on the data;
the database memory is used for storing the data analyzed and counted by the data analysis unit and transmitting the data to the cloud memory for backup through the third transmission module.
Optionally, the product detection unit includes a scanning module, a detection module and a recording module, the scanning module is used for scanning the bar code of the optical splitter product and loading the data information of the optical splitter product, the detection module can detect the optical splitter product according to the detection standard of the optical splitter product scanned by the scanning module, and the recording module is used for recording the condition data of the optical splitter product detected by the detection module and marking the optical splitter product according to the detection standard.
Optionally, the first transmission module may transmit the optical splitter product detection data recorded by the recording module.
Alternatively, the scanning module may be a scanning gun.
Optionally, the data analysis unit includes analysis module, statistics module and integration module, analysis module is used for analyzing optical divider product detection data, integration module can be according to optical divider detection standard to the data after analysis statistics, and statistics module is used for the condition of the unqualified product of statistics optical divider.
Optionally, the integration module is used to draw SPC control charts.
Optionally, the second transmission module may receive the data transmitted by the first transmission module, and transmit the integrated and counted data to the third transmission module.
Optionally, the database memory includes a storage module and a classification module, where the storage module may store the data received by the third transmission module, and the classification module may classify the received data according to the pass and fail conditions.
Optionally, the cloud storage is a specific online storage unit.
The invention has at least the following beneficial effects:
(1) According to the scheme, the detection data of the optical splitter are automatically collected and intelligently analyzed in real time, so that quality early warning, SPC control charts and analysis are formed; the method is convenient for guiding production and quality improvement, is simple to operate, and has the advantages of monitoring the quality of products in real time, effectively controlling the quality stability of the products and the like;
(2) The scheme can be used for counting the unqualified reasons of all unqualified products by arranging the counting module, so that the post improvement is easy;
(3) According to the scheme, the database storage can be set to locally store data, the data are classified, and the cloud storage is a specific online storage unit;
(4) According to the scheme, the cloud storage is arranged, so that the data can be backed up and saved, and the data loss is avoided.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, it will be apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art
FIG. 1 is a system diagram of the present invention;
FIG. 2 is a flow chart of the present invention;
FIG. 3 is a flow chart of reject feedback in accordance with the present invention;
FIG. 4 is a flow chart of the post-processing of the reject ratio exceeding the threshold in accordance with the present invention;
FIG. 5 is a SPC control chart of embodiment 2 of the present invention;
FIG. 6 is a SPC control chart of embodiment 3 of the present invention;
FIG. 7 is a SPC control chart of embodiment 4 of the present invention;
FIG. 8 is a SPC control chart of embodiment 5 of the present invention;
FIG. 9 is a SPC control chart of embodiment 6 of the present invention;
FIG. 10 is a SPC control chart of embodiment 7 of the present invention;
FIG. 11 is an SPC control chart of embodiment 8 of the present invention;
FIG. 12 is a SPC control chart for embodiment 9 of the present invention.
In the drawings, the list of components represented by the various numbers is as follows:
1. an integrated IT integrated platform; 2. a product detection unit; 201. a scanning module; 202. a detection module; 203. a recording module; 204. a first transmission module; 3. a data analysis unit; 301. an analysis module; 302. a statistics module; 303. an integration module; 304. a second transmission module; 4. a database memory; 401. a storage module; 402. a classification module; 403. a third transmission module; 5. and a cloud storage.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1-12, the present invention provides an intelligent detection system for an optical splitter, comprising:
an integrated IT integration platform 1;
the integrated IT comprehensive platform 1 comprises a product detection unit 2 and a data analysis unit 3, wherein the product detection unit 2 is used for scanning and detecting a product and transmitting scanned and detected data to the data analysis unit 3 through a first transmission module 204, and the data analysis unit 3 receives the data through a second transmission module 304 and performs analysis statistics on the data;
the database memory 4 is configured to store the data analyzed and counted by the data analysis unit 3, and send the data to the cloud storage 5 for backup through the third transmission module 403, where the database memory 4 is used for storing the data analyzed and counted by the data analysis unit 3.
In some embodiments, referring to fig. 1, the product detection unit 2 includes a scanning module 201, a detection module 202 and a recording module 203, the scanning module 201 is configured to scan an optical splitter product barcode and load data information of the optical splitter product, the detection module 202 may detect the optical splitter product according to an optical splitter product detection standard scanned by the scanning module 201, the recording module 203 is configured to record optical splitter product condition data detected by the detection module 202 and mark the optical splitter product according to the detection standard, the first transmission module 204 may transmit the optical splitter product detection data recorded by the recording module 203, the scanning module 201 may be a scanning gun, the optical splitter product is connected to a test link, the barcode is scanned into the detection module 202 by the scanning module 201, the detection module 202 automatically loads the product information and the detection standard according to the barcode information, and collects the detection data, and then the recording module 203 records the optical splitter product condition data detected by the detection module 202 and marks the unqualified optical splitter product according to the detection standard.
In some embodiments, referring to fig. 1, the integration module 303 is configured to draw an SPC control chart, automatically summarize and analyze according to the detection records of various types of products to form the SPC control chart, and the system automatically determines whether the product quality is in a stable state; if the abnormal situation can give out early warning and give out reasonable suggestion so as to facilitate data analysis, guide production and quality improvement, so as to achieve the purpose of controlling quality, wherein UCL is a control upper limit, CL is a control center limit, LCL is a control lower limit, and PC judgment standards consider that the process is in a steady state under the condition that dots are randomly arranged, and the PC judgment standards accord with one of the following points:
1. the consecutive 25 dots are all within the control limits;
2. at most 1 dot falls outside the control limit for 35 consecutive dots;
3. up to 2 consecutive 100 dots fall outside the control limit.
In some embodiments, referring to fig. 1, the data analysis unit 3 includes an analysis module 301, a statistics module 302 and an integration module 303, where the analysis module 301 is configured to analyze optical splitter product detection data, the integration module 303 may integrate the analyzed and counted data according to an optical splitter detection standard, the statistics module 302 is configured to count a situation of an unqualified product of the optical splitter, the unqualified product enters a feedback process of the unqualified product, the unqualified product is submitted by a inspector of a quality department, other departments perform review analysis and confirmation according to the process to form a closed loop, provide data analysis data for quality improvement, automatically aggregate analysis according to detection records of products of various types, trigger quality early warning when the unqualified rate exceeds a set threshold, and automatically push the data to the quality department, form a quality early warning processing list after confirmation by the quality department, push the quality early warning processing list to a technical and production department, perform investigation analysis on a situation of the early warning product, timely implement targeted management and control, and promote a quality level of the product, and through setting up the statistics module 302, the unqualified product can be used to count reasons of each unqualified product, so that the analysis module 301 may be easily improved in a later stage, and may perform statistics on a quality rate.
In some embodiments, referring to fig. 1, the database memory 4 includes a storage module 401 and a classification module 402, where the storage module 401 may store the data received by the third transmission module 403, the classification module 402 may classify the received data according to the pass and fail conditions, the database memory 4 may locally store the data and classify the data, the cloud memory 5 may be a specific online storage unit, and by setting the cloud memory 5, backup storage of the data may be performed to avoid data loss.
The working flow and principle of the invention are as follows: the optical splitter products are connected with a test link, a scanning module 201 scans in product bar codes, bar code information is transmitted to a detection module 202, the detection module 202 automatically loads product information and detection standards according to the bar code information, detection data acquisition is carried out, then the optical splitter product condition data detected by the detection module 202 are recorded through a recording module 203, unqualified optical splitter products are marked according to the detection standards, the unqualified products enter a feedback flow of the unqualified products, the unqualified products are submitted by a quality department inspector, other departments carry out review analysis and confirmation according to the flow to form a closed loop, data analysis data are provided for quality improvement, automatic summarization analysis is carried out according to detection records of various types of products, quality early warning is triggered when the unqualified rate exceeds a set threshold value, and meanwhile, the quality early warning processing list is automatically pushed to a technology and a production department after the quality department is confirmed, investigation analysis is carried out, a targeted management and control chart is timely implemented, the SPC control chart is formed according to the detection records of various types of the products, and the system can automatically judge whether the quality of the products is in a stable state or not; if the abnormality can give an early warning and give a reasonable suggestion, so as to facilitate data analysis, guide production and quality improvement, and achieve the purpose of quality control, the statistics module 302 can be used for counting the reasons of failure of each failed product, so that the later improvement can be facilitated.
Example 2
As shown in FIG. 5, there are 1 or more points outside the SPC regulatory range (non-product tolerances, reason analysis: possible calculation errors, measurement errors, raw material failure, equipment failure).
Example 3
The consecutive 7 points are on the same side of the SPC chart as shown in FIG. 6. And (3) reason analysis: the process average decreases.
Example 4
In the case of continuous 6-point ascent or descent as shown in fig. 7, the cause analysis: the tool is gradually worn out, the maintenance is gradually worsened, and the skill of operators is gradually improved.
Example 5
Continuous 14-point adjacent alternating up and down as shown in fig. 8, cause analysis: the fact that the two devices are used in turn or operated by the two operators in turn is that data layering is insufficient.
Example 6
More than 2/3 points fall outside 1/3 of the figure as shown in FIG. 9, illustrating: two of the three points may be any two points, so that the third point may be anywhere, or even not at all.
Example 7
As shown in fig. 10, 4 points in the continuous 5 points are outside the C area on the same side of the center line, and the reason is analyzed: data layering is insufficient or there is spurious data.
Example 8
The reason analysis is that the consecutive 15 points are in the region C on both sides of the center line as shown in fig. 11: data layering is insufficient or there is spurious data.
Example 9
As shown in fig. 12, consecutive 8 points fall on both sides of the center line and none are in zone C, for reasons of analysis: data layering is insufficient or there is spurious data.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. Intelligent detecting system of optical divider, its characterized in that includes:
an integrated IT integrated platform (1);
the integrated IT integrated platform (1) comprises a product detection unit (2) and a data analysis unit (3), wherein the product detection unit (2) is used for scanning and detecting products and transmitting scanned and detected data to the data analysis unit (3) through a first transmission module (204), and the data analysis unit (3) receives the data through a second transmission module (304) and performs analysis statistics on the data;
the database storage (4) is used for storing the data analyzed and counted by the data analysis unit (3), and the data is conveyed to the cloud storage (5) for backup through the third transmission module (403).
2. The intelligent detection system of an optical splitter according to claim 1, wherein: the product detection unit (2) comprises a scanning module (201), a detection module (202) and a recording module (203), wherein the scanning module (201) is used for scanning and loading data information of an optical splitter product into an optical splitter product bar code, the detection module (202) can detect the optical splitter product according to an optical splitter product detection standard scanned by the scanning module (201), and the recording module (203) is used for recording optical splitter product condition data detected by the detection module (202) and marking the optical splitter product according to the detection standard.
3. The intelligent detection system of an optical splitter according to claim 2, wherein: the first transmission module (204) can transmit the optical splitter product detection data recorded by the recording module (203).
4. The intelligent detection system of an optical splitter according to claim 1, wherein: the scanning module (201) may in particular be a scanning gun.
5. The intelligent detection system of an optical splitter according to claim 1, wherein: the data analysis unit (3) comprises an analysis module (301), a statistics module (302) and an integration module (303), wherein the analysis module (301) is used for analyzing the detection data of the optical splitter products, the integration module (303) can integrate the data after analysis and statistics according to the detection standard of the optical splitter, and the statistics module (302) is used for counting the unqualified products of the optical splitter.
6. The intelligent detection system of an optical splitter according to claim 5, wherein: the integration module (303) is used to draw SPC control charts.
7. The intelligent detection system of an optical splitter according to claim 5, wherein: the second transmission module (304) can receive the data transmitted by the first transmission module (204) and transmit the data after the integration statistics to the third transmission module (403).
8. The intelligent detection system of an optical splitter according to claim 1, wherein: the database storage (4) comprises a storage module (401) and a classification module (402), the storage module (401) can store data received by the third transmission module (403), and the classification module (402) can classify the received data according to the qualification and the disqualification conditions.
9. The intelligent detection system of an optical splitter according to claim 1, wherein: and the cloud storage (5) is a specific online storage unit.
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103778257A (en) * | 2014-02-27 | 2014-05-07 | 苏州奥科姆自动化科技有限公司 | Method for acquiring and analyzing unqualified reasons of defective products in real time |
| CN105372581A (en) * | 2015-11-18 | 2016-03-02 | 华南理工大学 | Flexible circuit board manufacturing process automatic monitoring and intelligent analysis system and method |
| CN106447163A (en) * | 2016-08-29 | 2017-02-22 | 安徽美图信息科技有限公司 | Automatic detection system of data quality on the basis of fine logic classification technology |
| CN111158095A (en) * | 2019-12-29 | 2020-05-15 | 江苏俊知传感技术有限公司 | Branching unit with protective sleeve and automatic testing and monitoring device thereof |
| CN112561723A (en) * | 2020-07-08 | 2021-03-26 | 北京德风新征程科技有限公司 | Yield improvement management system and method for industrial manufacturing production products |
| CN112808626A (en) * | 2020-12-21 | 2021-05-18 | 江苏汇鼎光学眼镜有限公司 | Method for online automatic optical performance detection and lens screening |
| CN113641542A (en) * | 2021-07-29 | 2021-11-12 | 广西电网有限责任公司电力科学研究院 | Detection system and detection method of measurement and control equipment |
| CN113723781A (en) * | 2021-08-19 | 2021-11-30 | 武汉慧远智控科技有限公司 | Product quality defect judgment system and method based on SPC analysis |
| CN114219799A (en) * | 2021-12-22 | 2022-03-22 | 葛伟杰 | Intelligent manufacturing defective product analysis method and system |
| CN114740810A (en) * | 2022-03-31 | 2022-07-12 | 安徽环新集团股份有限公司 | Production management system |
-
2023
- 2023-10-24 CN CN202311380345.XA patent/CN117516868A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103778257A (en) * | 2014-02-27 | 2014-05-07 | 苏州奥科姆自动化科技有限公司 | Method for acquiring and analyzing unqualified reasons of defective products in real time |
| CN105372581A (en) * | 2015-11-18 | 2016-03-02 | 华南理工大学 | Flexible circuit board manufacturing process automatic monitoring and intelligent analysis system and method |
| CN106447163A (en) * | 2016-08-29 | 2017-02-22 | 安徽美图信息科技有限公司 | Automatic detection system of data quality on the basis of fine logic classification technology |
| CN111158095A (en) * | 2019-12-29 | 2020-05-15 | 江苏俊知传感技术有限公司 | Branching unit with protective sleeve and automatic testing and monitoring device thereof |
| CN112561723A (en) * | 2020-07-08 | 2021-03-26 | 北京德风新征程科技有限公司 | Yield improvement management system and method for industrial manufacturing production products |
| CN112808626A (en) * | 2020-12-21 | 2021-05-18 | 江苏汇鼎光学眼镜有限公司 | Method for online automatic optical performance detection and lens screening |
| CN113641542A (en) * | 2021-07-29 | 2021-11-12 | 广西电网有限责任公司电力科学研究院 | Detection system and detection method of measurement and control equipment |
| CN113723781A (en) * | 2021-08-19 | 2021-11-30 | 武汉慧远智控科技有限公司 | Product quality defect judgment system and method based on SPC analysis |
| CN114219799A (en) * | 2021-12-22 | 2022-03-22 | 葛伟杰 | Intelligent manufacturing defective product analysis method and system |
| CN114740810A (en) * | 2022-03-31 | 2022-07-12 | 安徽环新集团股份有限公司 | Production management system |
Non-Patent Citations (2)
| Title |
|---|
| 党静: "基于ＳＰＣ 的信息化生产线质量管理系统研究", 《中国电子科学研究院学报》, no. 10, 31 October 2022 (2022-10-31), pages 1027 - 1031 * |
| 营云川: "《汽车行业ISO/TS16949:2002国际标准应用与实施指南》", vol. 1, 31 July 2003, 深圳：海天出版社, pages: 272 - 283 * |
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