TWI701185B - Bicycle product data analysis system and method thereof - Google Patents

Abstract

A bicycle product data analysis system includes a quality module, an analysis module, an assessment module, a graphic integration module, and a diagnose module. The quality module enters an analysis standard information. The analysis module receives a specification information, and analyzes the analysis standard information and the specification information into a quality characteristic. The assessment module, based on such information, generates an assessment coordinates and an information detection coordinates. The graphic integration module produces a capability assessment diagram which is transformed into a standard capability scope. The graphic integration module integrates the information detection coordinates in the capability assessment diagram. The diagnose module determines if the information detection coordinates fall in the standard capability scope, thus generating an improvement information which is sent back to the terminal device. Therefore, a basis for process improvement is acquired.

Description

Data analysis system and method for bicycle products

The present invention is a data analysis system, especially a data analysis system and method for bicycle products.

According to the current domestic bicycle processing plants and bicycle parts factories, the technology is booming, and Taiwan’s bicycles and their components are mainly exported to the US and European markets. They have become an important source of supply for the world bicycle market. In order to provide product specifications that meet customer requirements while maintaining production quality, a six-standard deviation quality management model is usually used to control the specifications of components.

Among them, the six-standard deviation quality management model can derive the product quality level relationship for different process capability indicators, and use the Multi-characteristic process capability analysis chart (MPCAC) to evaluate and judge components Whether the quality characteristics meet the needs of customers, so as to effectively maintain the quality of components.

However, the range of the quality level achieved by the manufacturing process cannot directly further know the exact value and the exact value. Therefore, the quality control personnel only rely on the above-mentioned analysis of the quality level range, and it is impossible to verify that the product specifications are accurate and meet the standard quality. characteristic.

In order to solve the above-mentioned problems, the present invention provides a bicycle product data analysis system and method based on it. It performs standardized calculations of accuracy and precision for various inspection specifications of bicycle products, analyzes the data in the form of graphs, and provides feedback The result of the judgment and analysis provides the reliability of the quality level of the reference process by the process personnel.

To achieve the above objective, the present invention provides a bicycle product data analysis system, which is set up on a cloud server. The user connects to the cloud server through a terminal device signal to use the detection data analysis system. The bicycle product data analysis system includes a quality Characteristic module, a calculation analysis module, an index evaluation module, a chart integration module and a data diagnosis module. The quality characteristic module writes an analysis standard information corresponding to the specifications of a test object; the calculation analysis module is coupled to the quality characteristic module, and the calculation analysis module receives a size specification information measured by the test object, and Analyze standard information and size specification information to calculate tolerance information. The calculation analysis module classifies the size specification information into a quality characteristic according to the tolerance information; the index evaluation module is coupled to the quality characteristic module and the calculation analysis module for index evaluation The module converts the analysis standard information into plural standard evaluation coordinates, and the index evaluation module converts the size specification information into an information detection coordinate according to the quality characteristics; the chart integration module is coupled to the index evaluation module, and the chart integration module is based on The standard evaluation coordinates are integrated into a capability evaluation chart. The capability evaluation chart has an abscissa and an ordinate. The abscissa represents the accuracy of the analysis standard information, and the ordinate represents the accuracy of the analysis standard information. Each standard The evaluation coordinates are respectively set on the abscissa and ordinate to enclose a standard capability range, and the chart integration module integrates the information detection coordinates into the capability evaluation chart; the data diagnosis module is coupled to the chart integration Module, the data diagnosis module determines whether the information detection coordinates are within the standard capability range, so as to generate an evaluation and improvement information and respond to it Feed to the terminal device.

Another embodiment of the present invention provides a data analysis method for bicycle products, which sequentially includes the steps of establishing standardized indicators, data integration, and data diagnosis and analysis. Create standardized indicators: In a quality characteristic module of the cloud server, an analysis standard information is correspondingly written according to the specifications of an object to be tested, and an indicator evaluation module of the cloud server converts the analysis standard information into a plural standard evaluation And receive the standard evaluation coordinates through a chart integration module of the cloud server, and integrate them into a capability evaluation chart. The capability evaluation chart has an abscissa and an ordinate, and the abscissa represents the analysis standard information Accuracy, the ordinate represents the accuracy of the analysis standard information, and each standard evaluation coordinate is set on the abscissa and ordinate respectively to enclose a standard capacity range; data integration: the terminal device measures the object to be tested The measurement and size specification information is transmitted to a calculation analysis module of the cloud server, so that the calculation analysis module will calculate the analysis standard information and the size specification information to generate a tolerance information, and correspondingly classify the size specification information into a quality according to the tolerance information The index evaluation module receives the quality characteristics, converts the size specification information into an information detection coordinate, and integrates the information detection coordinate into the capability evaluation chart through the chart integration module; data diagnosis analysis: data from a cloud server The diagnostic module evaluates the distribution status of the information detection coordinates on the capability evaluation chart, and determines whether the information detection coordinates are within the standard capability range, so as to generate an evaluation improvement information and corresponding feedback to the terminal device.

In this way, the data analysis system of the present invention integrates the standard evaluation coordinates into a capability evaluation chart to establish standardized indicators, and then transmits the measured size specification information of the object to be tested to the calculation analysis module to analyze the quality characteristics At this time, the index evaluation module receives the quality characteristics, converts the size specification information into information detection coordinates, and integrates the information detection coordinates into the capability evaluation chart through the chart integration module; finally, it evaluates by the data diagnosis module The information detection coordinates are distributed in the ability evaluation chart to determine the generation of evaluation improvement information, and remotely feedback to the terminal device for reference. According to this, the process personnel can improve the problem of insufficient process precision or accuracy based on the evaluation and improvement information, thereby effectively maintaining or improving the quality of the manufactured object to be tested, and achieving the effect of reliability that meets customer requirements.

1: Cloud server

2: terminal device

100: data analysis system

200: Object to be tested

50: Data diagnosis module

L1: First standard sideline

L2: Second standard sideline

S: Surface roughness

10: Quality characteristic module

20: Calculation analysis module

30: Indicator Evaluation Module

31: The first standard evaluation coordinates

32: The second standard evaluation coordinates

33: Third standard evaluation coordinates

40: Chart Integration Module

41: Ability Assessment Chart

411: abscissa

412: ordinate

413: Standard Capability Range

A: Axle center protrusion

B: Bushing length

C: Axle assembly connection quantity

D: The combined center quantity of shaft and bushing

L: combined length of shaft and bushing

R: Outer diameter of bushing

r: Outer diameter of shaft

S1: Establish standardized indicators

S2: Data integration

S3: Data diagnostic analysis

Figure 1 is a system architecture diagram of the present invention.

Figure 2 is a functional schematic diagram of the present invention.

FIG. 3 is a schematic diagram of the structure of the object under test of the present invention, showing the measurement information of various dimensions of the object under test.

Figure 4 is a schematic diagram of the analysis of the ability evaluation chart of the present invention, showing that each standard evaluation coordinate encloses the standard ability range.

Figure 5 is an analysis diagram of the implementation capability of the present invention.

Figure 6 is an analysis flow chart of the present invention.

In order to facilitate the description of the central idea of the present invention expressed in the column of the above-mentioned summary of the invention, specific embodiments are used to express. The various objects in the embodiments are drawn in proportions suitable for enumeration and description, rather than proportions of actual components, and are described in advance.

Please refer to Figures 1 to 5, the present invention provides a bicycle product data analysis system 100, which is set up on the cloud server 1, and the user connects to the cloud server 1 through the terminal device 2 through the network to use the bicycle product testing The data analysis system 100 includes: a quality characteristic module 10, which writes analysis standard information corresponding to the specifications of a test object 200; further, the test object 200 of the present invention is a bicycle For five-way bearings, the quality characteristics module 10 writes analysis standard information corresponding to the important quality characteristics of five-way bearings. Among them, the quality characteristics include normal the better ( NTB) and Wangda quality characteristics ( Larger). the better : LTB) and small quality features ( Smaler the better : STB).

Furthermore, the standard information format for analyzing the quality characteristics of the sight is LSL _h ≦X _h ≦USL _h , where LSL represents the lower limit of the service requirement range; USL represents the upper limit of the service requirement range, and this embodiment will Through the method of variable transformation, the quality characteristics of Wangmu can be calculated using Y _h = (X _h -T _h )/d _h , h = 1,2,3 , and the analysis standard information of Wangmu quality characteristics can be converted into -1 ≦Y≦1 ; The standard information format of Wangda's quality characteristics analysis is LSL ₄ ≦X ₄ , this embodiment uses the method of variable transformation to make Wangda's quality characteristics use the formula Y ₄ = (X ₄ /LSL ₄ )-2 Therefore, the analysis standard information of Wang Da’s quality characteristics is converted into -1≦Y≦0 ; the analysis standard information of Wang Xiao’s quality characteristics is in the form of 0 ≦X ₅ ≦USL _5. This embodiment uses the method of variable transformation to make Wang The small quality characteristics are calculated by using the C _pu formula to convert the analysis standard information of the low quality characteristics into 0<Y≦1 ; through the above description, all LSLs are converted to -1 through variable transformation, and all USLs are converted to +1, and the target value is converted to 0.

The present invention expresses the variable transformation of the analysis standard information of each quality characteristic with the following formula:

An arithmetic analysis module 20, which is coupled to the quality characteristic module 10, the arithmetic analysis module 20 receives a piece of size specification information measured by the test object 200; further, the size specification information includes the surface of the test object 200 Thickness S, shaft protrusion A, bush length B, shaft assembly quantity C, shaft and bush combined center amount D, shaft and bush combined length L, bush outer diameter R and shaft center For the measurement information of the outer diameter r, please refer to Figure 3 and Table 1 below:

Then, the calculation analysis module 20 calculates the analysis standard information and the size specification information to generate tolerance information. The calculation analysis module 20 correspondingly categorizes the size specification information into a quality characteristic (Wangmu quality characteristic, Wangda quality characteristic and Hope small quality characteristics).

；而標準評估座標的y座標係運用下列公式表示之：

δ)；在此同時，指標評估模組30亦將尺寸規格資訊依據品質特性換算成一資訊檢測座標，其尺寸規格資訊計算過程係先依品質特性換算出目標，計算公式如 下：

，其中，目標值為T _h 、規格下限為LSL _h 、規格上限為USL _h 、望小品質特性的數量為u、望大品質特性的數量為l、望目品質特性的數量為k；經換換後之各標準評估座標包含一第一標準評估座標31、一第二標準評估座標32及一第三標準評估座標33，其中，第一標準評估座標31為(+1.00，0.00)，第二標準評估座標32為(-1.00，0.00)，第三標準評估座標33的範圍為(0.00，+0.20至+0.30)，於本實施例中第三標準評估座標33為(0.00，+0.271)。 An index evaluation module 30, which is coupled to the quality characteristic module 10 and the calculation analysis module 20. The index evaluation module 30 converts the analysis standard information into plural standard evaluation coordinates. The index evaluation module 30 uses a standardized calculation method The accuracy and precision of the analysis standard information are individually converted to generate standard evaluation coordinates; among them, the x-coordinate of the standard evaluation coordinates is expressed by the following formula: δ=

; And the y-coordinate of the standard evaluation coordinates is expressed by the following formula:

δ ); At the same time, the index evaluation module 30 also converts the size specification information according to the quality characteristics into an information detection coordinate. The calculation process of the size specification information is to first convert the target according to the quality characteristics. The calculation formula is as follows:

, Where the target value is T _h , the lower specification limit is LSL _h , the upper specification limit is USL _h , the number of small quality features is u , the number of large quality features is l , and the number of high quality features is k; The changed standard evaluation coordinates include a first standard evaluation coordinate 31, a second standard evaluation coordinate 32, and a third standard evaluation coordinate 33. The first standard evaluation coordinate 31 is (+1.00, 0.00), and the second standard evaluation coordinate 31 is (+1.00, 0.00). The standard evaluation coordinate 32 is (-1.00, 0.00), and the range of the third standard evaluation coordinate 33 is (0.00, +0.20 to +0.30). In this embodiment, the third standard evaluation coordinate 33 is (0.00, +0.271).

In addition, the index evaluation module 30 also uses the above calculation formula to convert each size specification information into an information detection coordinate according to the quality characteristics. The converted information detection coordinates are shown in Table 2 below:

A chart integration module 40, which is coupled to the index evaluation module 30. The chart integration module 40 first establishes a standardized index, which is integrated into a capability evaluation chart 41 according to the standard evaluation coordinates; please cooperate with Figures 2 and As shown in FIG. 4, the ability evaluation chart 41 has an abscissa 411 and an ordinate 412. The abscissa 411 represents the accuracy of the analysis standard information, and the ordinate 412 represents the accuracy of the analysis standard information, and the first standard is evaluated The coordinates 31, the second standard evaluation coordinates 32, and the third standard evaluation coordinates 33 are respectively set on the abscissa 411 and the ordinate 412 of the ability evaluation chart 41. Among them, the third standard evaluation coordinates 33 and the first standard evaluation coordinates 31 are There is a first standard sideline L1 connected between the third standard evaluation coordinates 33 and the second standard evaluation coordinates 32, a second standard sideline L2 is connected to form a standard capability range 413 which is approximately triangular; The entire module 40 integrates each information detection coordinate correspondingly into the capability evaluation chart 41. In this embodiment, the length of the first standard sideline L1 is equal to the length of the second standard sideline L2, where the first standard sideline L1 and the second standard sideline L1 The calculation formula of the standard sideline L2 is as follows:

A data diagnosis module 50, which is coupled to the chart integration module 40, the data diagnosis module 50 determines whether each information detection coordinate is within the standard capability range 413, so as to generate an evaluation improvement information and corresponding feedback to the terminal device 2; That is to say, please cooperate with Figure 2, Figure 3 and Figure 5, when the information detection coordinates fall within the standard capability range 413 or fall on the first standard edge line L1 and the second standard edge line L2, the data diagnostic module 50 It is judged that the evaluation and improvement information that meets the standard is generated, and the remote feedback is provided to the terminal device 2 for reference to indicate that the process quality level of the analysis standard information just meets the tolerance requirements, so as to strengthen the monitoring of the process accuracy and accuracy, or to control the process Ability improvement to maintain or improve the quality of the test object 200 to achieve the effect of credibility that meets customer requirements.

However, when the information detection coordinates fall above the periphery of the standard capability range 413, the data According to the diagnosis module 50, the evaluation and improvement information of excessive variation is generated to indicate that the process quality variation of the analysis standard information is too large, and then it is recommended to check whether the raw material material is stable, whether the stability and mobility of personnel are too large, and whether the tool life and maintenance are dependent Standard operating procedures, whether the machine is too old, etc.; In addition, when the information detection coordinates fall on the left and right sides of the periphery of the standard capability range 413, the data diagnosis module 50 judges to generate evaluation improvement information with insufficient accuracy to represent the analysis standard information The accuracy of the process is insufficient, so it is recommended to try various machine parameter adjustments or check whether it is operated or controlled according to standard operating procedures.

Please cooperate with FIG. 6, another embodiment of the present invention provides a data analysis method for bicycle products, which uses the quality characteristic module 10, calculation analysis module 20, index evaluation module 30, and graph system of the data analysis system 100 described above. The whole module 40 and the data diagnosis module 50 perform analysis, and the data analysis method sequentially includes the following steps:

Establish standardized index S1: In the quality characteristic module 10 of the cloud server 1, correspondingly write analysis standard information according to the specifications of the test object 200, and the index evaluation module 30 of the cloud server 1 converts the analysis standard information into a plural number Standard evaluation coordinates, and receive various standard evaluation coordinates through the graph integration module 40 of the cloud server 1 to form an ability evaluation chart 41. The ability evaluation chart 41 has an abscissa 411 and an ordinate 412, and each standard evaluation The coordinates are respectively set on the abscissa 411 and the ordinate 412 to enclose the standard capacity range 413.

Data integration S2: The terminal device 2 transmits the size specification information measured by the test object 200 to the calculation analysis module 20 of the cloud server 1, so that the calculation analysis module 20 calculates the analysis standard information and the size specification information to generate tolerance information , And categorize the size specification information into a quality characteristic according to the tolerance information. At this time, the index evaluation module 30 receives the quality characteristics, converts the size specification information into information detection coordinates, and uses the graph integration module 40 to detect the information coordinates Integrated in chart 41 of ability assessment.

Data diagnosis analysis S3: Data diagnosis module 50 of cloud server 1 evaluates information detection The coordinates are distributed on the ability evaluation chart 41, and it is determined whether the information detection coordinates are within the standard ability range 413 to generate evaluation improvement information and corresponding feedback to the terminal device 2.

In summary, the data analysis system 100 of the present invention integrates the standard evaluation coordinates into a capability evaluation chart 41 to establish a standardized index, and then transmits the size specification information measured by the test object 200 to the calculation analysis model The group 20 analyzes the quality characteristics. At this time, the index evaluation module 30 receives the quality characteristics, converts the size specification information into information detection coordinates, and integrates the information detection coordinates into the capability evaluation chart 41 through the chart integration module 40.

Finally, the data diagnosis module 50 evaluates the distribution of the information detection coordinates on the capability evaluation chart 41 to determine the generation of evaluation improvement information, and remotely feeds it back to the terminal device 2 for reference. According to this, the process personnel can evaluate and improve The information is used to improve the problem of insufficient process precision or accuracy, thereby effectively maintaining or improving the quality of the test object 200 made to achieve the effect of reliability that meets customer requirements.

Many improvements and changes for those in the technical field obviously do not depart from the scope and spirit of the present invention. The specification and examples are only illustrative, and the true scope and spirit of the present invention will be pointed out in the following patent applications.

100: data analysis system

10: Quality characteristic module

20: Calculation analysis module

30: Indicator Evaluation Module

0: Chart Integration Module 4

50: Data diagnosis module

Claims (9)

A bicycle product data analysis system, which is set up on a cloud server, and the user connects to the cloud server through a terminal device signal to use a data analysis system for detecting the bicycle product. The bicycle product data analysis system includes: a quality characteristic model Group, which writes an analysis standard information corresponding to the specification of a test object; a calculation analysis module coupled to the quality characteristic module, the calculation analysis module receives a size measured by the test object Specification information, and calculate the analysis standard information and the size specification information to generate tolerance information, the calculation analysis module correspondingly classifies the size specification information into a quality characteristic according to the tolerance information; an index evaluation module, which is coupled In the quality characteristic module and the calculation analysis module, the index evaluation module converts the analysis standard information into plural standard evaluation coordinates, and the index evaluation module converts the size specification information into an information detection coordinate according to the quality characteristic ; A chart integration module, which is coupled to the index evaluation module, the chart integration module integrates into a capability evaluation chart according to the standard evaluation coordinates, the capability evaluation chart has a horizontal coordinate and a vertical Coordinates, the abscissa represents the accuracy of the analysis standard information, the ordinate represents the accuracy of the analysis standard information, and each of the standard evaluation coordinates is correspondingly set on the abscissa and the ordinate to enclose Into a standard capability range, and the chart integration module correspondingly integrates the information detection coordinates into the capability evaluation chart; and a data diagnosis module, which is coupled to the chart integration module, and the data diagnosis module It is determined whether the information detection coordinates are within the standard capability range, so as to generate an evaluation improvement information and corresponding feedback to the terminal device. The bicycle product data analysis system as described in claim 1, wherein each standard evaluation The evaluation coordinates include a first standard evaluation coordinate, a second standard evaluation coordinate, and a third standard evaluation coordinate. The first standard evaluation coordinate and the second standard evaluation coordinate are respectively set on the abscissa of the ability evaluation chart. The third standard evaluation coordinates are set on the ordinate of the ability evaluation chart. A first standard edge is connected between the third standard evaluation coordinates and the first standard evaluation coordinates. The third standard evaluation coordinates and the second standard evaluation There is a second standard sideline connected between the coordinates to enclose the standard capacity range which is approximately triangular. The bicycle product data analysis system according to claim 2, wherein the first standard evaluation coordinates are (+1.00, 0.00), the second standard evaluation coordinates are (-1.00, 0.00), and the third standard evaluation coordinates are The range of is (0.00, +0.20 to +0.30), and the length of the first standard edge is equal to the length of the second standard edge. The bicycle product data analysis system according to claim 1, wherein the indicator evaluation module uses a standardized calculation method to convert the accuracy and precision of the analysis standard information to generate the standard evaluation coordinates, and The index evaluation module also converts the size specification information into the information detection coordinates in a standardized calculation method. The bicycle product data analysis system according to claim 1, wherein the object to be tested is a bottom bracket bearing, and the size specification information includes the surface roughness of the object to be tested, the amount of shaft center protrusion, the length of the bushing, and the shaft The measurement information of the assembly quantity of the center, the combined center of the shaft and the bush, the combined length of the shaft and the bush, the outer diameter of the bush and the outer diameter of the shaft A data analysis method for bicycle products, which sequentially includes the following steps: Establishing standardized indicators: In a quality characteristic module of a cloud server, correspondingly write analysis standard information according to the specifications of an object to be tested, and the cloud server An index evaluation module converts the analysis standard information into a plurality of standard evaluation coordinates, and receives each of the data through a graph integration module of the cloud server The standard evaluation coordinates are integrated into a capability evaluation chart. The capability evaluation chart has an abscissa and an ordinate. The abscissa represents the accuracy of the analysis standard information, and the ordinate represents the analysis standard information. Accuracy, and each of the standard evaluation coordinates is correspondingly set on the abscissa and the ordinate to enclose a standard capability range; data integration: the terminal device transmits a size specification information measured by the object under test To a calculation analysis module of the cloud server, the calculation analysis module calculates the analysis standard information and the size specification information to generate tolerance information, and correspondingly classifies the size specification information into a quality characteristic according to the tolerance information, The indicator evaluation module receives the quality characteristics, correspondingly converts the size specification information into an information detection coordinate, and integrates the information detection coordinate into the capability evaluation chart through the chart integration module; and data diagnosis analysis: cloud A data diagnosis module of the server evaluates the distribution status of the information detection coordinates on the capability evaluation chart, and determines whether the information detection coordinates are within the standard capability range, so as to generate an evaluation improvement information and corresponding feedback to the terminal device. The bicycle product data analysis method according to claim 6, wherein each of the standard evaluation coordinates includes a first standard evaluation coordinate, a second standard evaluation coordinate, and a third standard evaluation coordinate, and the first standard evaluation coordinate is The second standard evaluation coordinates are respectively located on the abscissa of the ability evaluation chart, the third standard evaluation coordinates are located on the ordinate of the ability evaluation chart, and the third standard evaluation coordinates and the first standard evaluation coordinates A first standard sideline is connected therebetween, and a second standard sideline is connected between the third standard evaluation coordinate and the second standard evaluation coordinate to enclose the standard ability range which is generally triangular. The bicycle product data analysis method according to claim 7, wherein the first standard evaluation coordinates are (+1.00, 0.00), the second standard evaluation coordinates are (-1.00, 0.00), and the third standard evaluation The range of the estimated coordinates is (0.00, +0.20 to +0.30), and the length of the first standard edge is equal to the length of the second standard edge. According to the bicycle product data analysis method of claim 6, wherein the index evaluation module uses a standardized calculation method to convert the accuracy and precision of the analysis standard information to generate the standard evaluation coordinates, and The index evaluation module also converts the size specification information into the information detection coordinates in a standardized calculation method.

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