CN112215503A - Reliability monitoring method based on SPC - Google Patents
Reliability monitoring method based on SPC Download PDFInfo
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- CN112215503A CN112215503A CN202011114575.8A CN202011114575A CN112215503A CN 112215503 A CN112215503 A CN 112215503A CN 202011114575 A CN202011114575 A CN 202011114575A CN 112215503 A CN112215503 A CN 112215503A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 18
- 238000004891 communication Methods 0.000 claims description 8
- 238000004519 manufacturing process Methods 0.000 abstract description 14
- 238000005516 engineering process Methods 0.000 abstract description 8
- 238000004458 analytical method Methods 0.000 abstract description 4
- 238000003070 Statistical process control Methods 0.000 description 19
- 230000002950 deficient Effects 0.000 description 3
- 238000013480 data collection Methods 0.000 description 2
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Abstract
The invention discloses a reliability monitoring method based on SPC, which comprises the following steps: presetting the set operation parameter information of each device to form an original data tracing record; collecting real-time operation parameter information of each device to form a real-time data tracing record; and comparing the original data tracing record with the real-time data tracing record, and if the parameter difference value of the original data tracing record and the real-time data exceeds the set parameter change value, reminding. Data are collected and analyzed by adopting an SPC technology, so that the running parameters of the analysis equipment are automatically counted and analyzed, and the running reliability of an automatic production line is improved.
Description
Technical Field
The invention relates to the technical field of data analysis, in particular to a reliability monitoring method based on SPC.
Background
With the continuous development of the household appliance industry, the automatic production line is widely popularized and used. On an automated production line, generally, there are automated devices with corresponding functions for manufacturing and assembling, and therefore, the operational parameters of each automated device need to be monitored to determine the operational reliability of the entire production line. In the prior art, an operator on site monitors operation parameters of different devices to evaluate operation conditions of the devices, and often fails to find out fault conditions of the related devices in time due to errors of the operator, thereby causing a large amount of defective products. Therefore, how to design a technology capable of automatically counting and analyzing the operation parameters of the equipment to improve the operation reliability of the automatic production line is a technical problem to be solved by the invention.
Disclosure of Invention
The invention provides a reliability monitoring method based on SPC, which is used for realizing automatic statistics and analysis of equipment operation parameters by adopting SPC technology to collect and analyze data so as to improve the operation reliability of an automatic production line.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention provides a reliability monitoring method based on SPC, which comprises the following steps:
presetting the set operation parameter information of each device to form an original data tracing record;
collecting real-time operation parameter information of each device to form a real-time data tracing record;
and comparing the original data tracing record with the real-time data tracing record, and if the parameter difference value of the original data tracing record and the real-time data exceeds the set parameter change value, reminding.
Further, the method also comprises the following steps: and if the increasing rate of the parameter difference is greater than the set parameter variation trend value, reminding.
Further, the acquiring real-time operation parameter information of each device specifically includes: and acquiring parameter information of each device within a set time range.
Further, the acquiring real-time operation parameter information of each device specifically includes: and acquiring parameter information of the selected at least one device within a set time range.
Further, the acquiring real-time operation parameter information of each device specifically includes: and acquiring parameter information of the selected at least one device.
Further, the method also comprises the step of outputting control charts, operation charts and/or process energy charts according to the real-time data tracing records.
Further, the acquiring real-time operation parameter information of each device specifically includes: and acquiring the operation parameter information of each device through a data acquisition card.
Further, the data acquisition card is in communication connection with the equipment through a communication line; or the data acquisition card is in wireless communication connection with the equipment.
Compared with the prior art, the technical scheme of the invention has the following technical effects: through carrying out unified control to the operating parameter of each equipment based on SPC technique, and then can be when relevant equipment operating parameter takes place unusually, timely reminds to the staff, and then makes that the staff can be timely maintain and safeguard equipment that breaks down or can break down to avoid producing a large amount of substandard products, realize having improved the product percent of pass, reduced manufacturing cost, improve the performance of enterprises. Meanwhile, based on the SPC technology, the quality management process of an enterprise can be monitored, the quality state can be comprehensively mastered, quality variation can be found in time, various control charts output by the SPC provide a quality variation analysis method, and therefore the method is convenient for a manager to use and enables the manager to quickly find out the reason of the quality variation.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a flowchart of an embodiment of an SPC-based reliability monitoring method of the present invention;
fig. 2 is a flowchart of another embodiment of the SPC-based reliability monitoring method of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the first embodiment, as shown in fig. 1, the reliability monitoring method based on SPC in this embodiment includes:
and 103, comparing the original data tracing record with the real-time data tracing record, and reminding if the parameter difference value of the original data tracing record and the real-time data exceeds a set parameter change value.
Specifically, the monitoring software in the server monitors each device on the production line based on Statistical Process Control (SPC) technology. In the initial state, the data needs to be input and stored according to the operation parameters of each device on the production line; meanwhile, after the production line is subjected to the conditions of capacity adjustment and the like, the initial operation parameters of each device are changed correspondingly, and correspondingly, the set operation parameter information of the device also needs to be updated.
And in the actual production process, analyzing and judging whether the equipment normally operates according to the detected operating parameters of each equipment. The judging method is to compare the initial parameter values preset according to the actual detection operation parameters of each device, and further judge whether the device is in a normal operation state. The method specifically comprises the following steps: by comparing the original data tracing record with the real-time data tracing record, and when the parameter difference value between the two recorded data exceeds the set parameter change value, the equipment is judged to be in fault. At the moment, the system can remind the staff to enable the staff to carry out on-site fault troubleshooting and processing in the first time, so that the staff can obtain processing in the first time after the equipment breaks down to avoid mass defective products, reduce the defective rate to improve the yield, and further be more beneficial to reducing the production cost.
In a second embodiment, based on the first embodiment, as shown in fig. 2, the reliability monitoring method based on SPC in this embodiment includes:
and step 204, if the increasing rate of the parameter difference is larger than the set parameter variation trend value, reminding is carried out.
Specifically, for the specific control process of step 201 to step 203, refer to the first embodiment, which is not described herein again. The difference is that an additional step 204 is added, and the staff can be timely notified to perform maintenance when no fault occurs in different equipment through the step 204.
The method specifically comprises the following steps: as the equipment is pressurized over time, the associated components in the equipment wear and wear, and often the equipment can still work properly, but the rate of change of the operating parameters of the equipment is greater than that of a good-condition equipment.
In step 204, the real-time operation parameter information of each device is collected to analyze the change rate of the parameter difference, and for a device which is prone to malfunction, some components in the device are in critical values, so that the change rate of the difference between the operation parameter of the device and the set parameter is large. Therefore, the working personnel is reminded to maintain the equipment in time, so that the equipment is prevented from being maintained after the equipment breaks down, and the product percent of pass can be improved.
Furthermore, in the actual use process, the operation parameters of each device can be continuously acquired for the acquisition of the parameters. Or, the acquiring real-time operation parameter information of each device specifically includes: and acquiring parameter information of each device within a set time range.
Specifically, by collecting the operation parameters of the equipment within a set time range, the efficiency of data collection can be effectively improved, and more accurate and effective data values can be obtained. Preferably, within a set time range, parameter information can be acquired for the selected equipment.
Meanwhile, all-weather parameter information collection can be carried out on the selected at least one device.
Furthermore, based on the SPC technology, in the actual use process, the control chart, the operation chart and/or the process performance chart can be output by using real-time data retrospective record according to needs. For specific output methods of the control chart, the operation chart and the process diagram, reference may be made to an output mode in the conventional SPC technology, which is not limited or described herein.
In addition, in order to collect data conveniently, the data collection card is used for collecting the operation parameter information of each device. For the data acquisition card, the data acquisition card can be in communication connection with equipment through a communication line; or the data acquisition card is in wireless communication connection with the equipment.
Compared with the prior art, the technical scheme of the invention has the following technical effects: through carrying out unified control to the operating parameter of each equipment based on SPC technique, and then can be when relevant equipment operating parameter takes place unusually, timely reminds to the staff, and then makes that the staff can be timely maintain and safeguard equipment that breaks down or can break down to avoid producing a large amount of substandard products, realize having improved the product percent of pass, reduced manufacturing cost, improve the performance of enterprises. Meanwhile, based on the SPC technology, the quality management process of an enterprise can be monitored, the quality state can be comprehensively mastered, quality variation can be found in time, various control charts output by the SPC provide a quality variation analysis method, and therefore the method is convenient for a manager to use and enables the manager to quickly find out the reason of the quality variation.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (8)
1. An SPC-based reliability monitoring method, comprising:
presetting the set operation parameter information of each device to form an original data tracing record;
collecting real-time operation parameter information of each device to form a real-time data tracing record;
and comparing the original data tracing record with the real-time data tracing record, and if the parameter difference value of the original data tracing record and the real-time data exceeds the set parameter change value, reminding.
2. The SPC-based reliability monitoring method of claim 1, further comprising:
and if the increasing rate of the parameter difference is greater than the set parameter variation trend value, reminding.
3. The SPC-based reliability monitoring method of claim 1, wherein the collecting real-time operating parameter information of each device specifically comprises: and acquiring parameter information of each device within a set time range.
4. The SPC-based reliability monitoring method of claim 3, wherein the collecting real-time operating parameter information of each device specifically comprises: and acquiring parameter information of the selected at least one device within a set time range.
5. The SPC-based reliability monitoring method of claim 1, wherein the collecting real-time operating parameter information of each device specifically comprises: and acquiring parameter information of the selected at least one device.
6. The SPC-based reliability monitoring method of claim 1, further comprising outputting control charts, run charts, and/or process performance charts from real-time data trace records.
7. An SPC-based reliability monitoring method according to any of claims 1-6, wherein the collecting real-time operational parameter information of each device is specifically: and acquiring the operation parameter information of each device through a data acquisition card.
8. The SPC-based reliability monitoring method of claim 7, wherein the data acquisition card is communicatively connected to the equipment via a communication line; or the data acquisition card is in wireless communication connection with the equipment.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011114575.8A CN112215503A (en) | 2020-10-19 | 2020-10-19 | Reliability monitoring method based on SPC |
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| CN202011114575.8A CN112215503A (en) | 2020-10-19 | 2020-10-19 | Reliability monitoring method based on SPC |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116524776A (en) * | 2022-12-08 | 2023-08-01 | 深圳市鞑和科技有限公司 | Multi-module electromechanical basic teaching training platform |
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| CN105719103A (en) * | 2016-04-28 | 2016-06-29 | 京东方（河北）移动显示技术有限公司 | Statistical process control system and management and control method thereof |
| US20180335772A1 (en) * | 2017-05-16 | 2018-11-22 | Mitek Analytics Llc | System and method for fleet reliabity monitoring |
| CN110345463A (en) * | 2019-06-24 | 2019-10-18 | 佛山科学技术学院 | A kind of boiler incipient fault recognition methods and device |
| CN111131464A (en) * | 2019-12-26 | 2020-05-08 | 安徽朋德信息科技有限公司 | Distributed terminal management system for laboratory of colleges and universities |
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2020
- 2020-10-19 CN CN202011114575.8A patent/CN112215503A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103412542A (en) * | 2013-08-14 | 2013-11-27 | 沈阳中科博微自动化技术有限公司 | Data-driven abnormity early-warning technical method of integrated circuit technology device |
| CN105719103A (en) * | 2016-04-28 | 2016-06-29 | 京东方（河北）移动显示技术有限公司 | Statistical process control system and management and control method thereof |
| US20180335772A1 (en) * | 2017-05-16 | 2018-11-22 | Mitek Analytics Llc | System and method for fleet reliabity monitoring |
| CN110345463A (en) * | 2019-06-24 | 2019-10-18 | 佛山科学技术学院 | A kind of boiler incipient fault recognition methods and device |
| CN111131464A (en) * | 2019-12-26 | 2020-05-08 | 安徽朋德信息科技有限公司 | Distributed terminal management system for laboratory of colleges and universities |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116524776A (en) * | 2022-12-08 | 2023-08-01 | 深圳市鞑和科技有限公司 | Multi-module electromechanical basic teaching training platform |
| CN116524776B (en) * | 2022-12-08 | 2024-01-12 | 深圳市鞑和科技有限公司 | Multi-module electromechanical basic teaching training platform |
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