KR20140044264A - Quality inspection method based on integrated quality inspection syetem - Google Patents

Abstract

The present invention relates to a quality test method based on an integrated quality management system. The present invention includes a first step in which the integrated quality management system determines whether the algorithm of 10 steps (physical limitation test, step test, internal identity test, durability test, climate range test, central filter value test, Cressman technique, Barnes technique, Madsen-Allerup technique, and AMeDAS precipitation test) has an error or not and a second step in which the integrated quality management system registers a QC flag value when there is the error in the 10 steps (physical limitation test, step test, internal identity test, durability test, climate range test, central filter value test, Cressman technique, Barnes technique, Madsen-Allerup technique, and AMeDAS precipitation test). By this, the invention provides an effect, in which only observation data that is higher than proper quality standards is used after quality (QC) test in order to secure matching and improve quality of observation data by applying consistent quality standards for observation data collected from an observation spot. In addition, the invention provides an effect, in which high quality of the observation data is secured as systematic quality improving activities are formed in the whole process from a site quality step to a final step by using a statistical analysis activity by classifying an error rate and a missing rate of a quality management result and a common use center into various properties such as branches and organizations. [Reference numerals] (1) Register a common use quality manager; (11) Approve QC correction request; (12) Request non-real time QC; (13) QC result data; (2) Request to generate QC reference value automatic statistics; (20) Common use quality manager terminal; (3) Inquire into a result of the QC reference value automatic statistics; (30) Observation organization quality manager terminal; (4) Set a QC reference value; (40) System user terminal; (5) Observation organization quality operator/manager right request; (50) Observation organization quality manager terminal; (6) Observation organization quality operator/manager right request result inquiry; (60) Collecting/processing system; (7) QC target data; (70) Integrated quality management system; (8) QC result inquiry; (9) QC result correction request; (AA) QC result correction request inquiry; (BB) Common activity system manager terminal

Description

Quality inspection method based on integrated quality inspection syetem}

The present invention relates to a quality inspection method based on an integrated quality management system, and more specifically, to an integrated quality management system for improving the quality and consistency of observation data by applying a consistent quality standard for observation data collected at an observation point. Based on quality inspection methods.

BACKGROUND ART [0002] With recent increases in consumer demands for products and the development of information and communication media such as the Internet and broadcasting, the importance of quality control of products to be sold and marketed is emerging. In particular, when a product or a defective part occurs in a home appliance such as a TV, a DVD, a refrigerator, a machine tool such as a press or a mill, an electronic device such as a personal computer or a server, If the quality control of the product or the parts of the product fails, such a large amount of financial loss is often issued to the manufacturer or the distributor.

Therefore, in order to measure and improve the quality in the manufacturing process, the quality information is automatically collected in real time, statistically analyzed, and a need for a quality management system for continuous quality improvement is demanded.

Therefore, in the related technology field, it is required to develop a weed for improving the quality of observation data and ensuring consistency by applying a consistent quality standard for the observation data collected from the observation point.

[Related Technical Literature]

1. AUTOMATED QUALITY COMPLIANCE SYSTEM (Patent Application No. 10-2005-7020086)

2. Statistical quality test and management system (Patent Application No. 10-2010-0108036)

The present invention is to solve the above problems, by applying a consistent quality standard for the observation data collected at the observation point only after the quality (QC) inspection to ensure the quality and consistency of the observation data only observation data above the appropriate quality standards It is to provide quality inspection method based on integrated quality management system to utilize.

In addition, the present invention performs statistical analysis activities by classifying the error rate and missing rate of the quality control results of the quality management results of the joint utilization center into various characteristics such as branch and institution, and use this to transfer the entire quality from the site quality stage to the final stage. This is to provide quality inspection method based on integrated quality management system to ensure high quality of observation data by systematic quality improvement activities.

However, the objects of the present invention are not limited to the above-mentioned objects, and other objects not mentioned can be clearly understood by those skilled in the art from the following description.

In order to achieve the above object, the integrated quality management system-based quality inspection method according to an embodiment of the present invention, the integrated quality management system has 10 steps (physical limit inspection, step inspection, internal consistency test, persistence test, climate range) A first step of determining whether an algorithm of a test, a central filter value test, a Cressman method, a Barnes method, a Madsen-Allerup method, an AMeDAS precipitation test) is an error; And the integrated quality management system includes the 10 steps (physical limit test, step test, internal consistency test, persistence test, climate range test, central filter value test, Cressman method, Barnes method, Madsen-Allerup method, AMeDAS precipitation test). Registering a QC flag value error if all errors exist in the second step; And a control unit.

In addition, in the quality inspection method based on the integrated quality management system according to another embodiment of the present invention, the second step is an error in each step if the integrated quality management system is not all the error in step 10 Step 2-1 of determining whether one or more are present; And step 2-2 of the integrated quality management system registering the QC flag value as normal when one or more errors do not exist in each step. And further comprising:

In addition, in the quality inspection method based on the integrated quality management system according to another embodiment of the present invention, in the second step 2, when the integrated quality management system has one or more errors in each step, for each case Calculating a probability value for the QC flag value and determining whether to register the case as a case based on the calculated probability value; And a step 2-2 (b) of registering a QC flag when the integrated quality management system is able to make a normal determination and registers as a case. And further comprising:

In addition, in the integrated quality management system-based quality inspection method according to another embodiment of the present invention, if the integrated quality management system is determined to be normal after the step 2-2 (b), the QC flag value is normal. Registering as an error case, registering a QC flag value as an error case; And further comprising:

Quality inspection method based on integrated quality management system according to an embodiment of the present invention, by applying a consistent quality standards for the observation data collected at the observation point is appropriate after the quality (QC) inspection to improve the quality and consistency of observation data It provides the effect to be used as observation data above the quality standard.

In addition, the quality inspection method based on the integrated quality management system according to another embodiment of the present invention, the error rate and the missing rate of the quality control results of the on-site quality management from the joint utilization center classified into various characteristics, such as branch, institution, etc. By conducting the analysis activities and using them, systematic quality improvement activities are carried out in the entire process from the site quality stage to the final stage, thereby providing the effect of securing high quality of observation data.

BRIEF DESCRIPTION OF THE DRAWINGS Figure 1 is a diagram illustrating an integrated quality management based quality inspection system in accordance with an embodiment of the present invention.
2 is a diagram for explaining functions of components constituting a quality inspection system based on an integrated quality control according to an embodiment of the present invention;
3 is a flow chart illustrating real-time quality testing performed by an integrated quality management system;
4 is a flow chart illustrating quasi-real-time quality testing performed by an integrated quality management system;
5 is a flow diagram illustrating a non real-time quality check performed by an integrated quality management system;
6 is a diagram for explaining quality improvement process procedure improvement performed by an integrated quality management system according to an embodiment of the present invention;
FIG. 7 is a diagram for explaining an applied QC flag by the integrated quality management system according to the embodiment of the present invention; FIG.
8 is a view for explaining a value of a QC flag which is a result of inspection in each step as a quality inspection process is changed by the integrated quality management system according to the embodiment of the present invention.
FIG. 9 is a diagram for explaining the mapping of QC flag values for each step when performing a 10-step quality algorithm in the QC flag value definition in the integrated quality management system according to the embodiment of the present invention. FIG.
10 is a flowchart illustrating a method of managing integrated quality according to a QC flag heuristic analysis performed by an integrated quality management system according to an embodiment of the present invention.
11 is a reference diagram showing an example of calculating a probability value for each case.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, a detailed description of preferred embodiments of the present invention will be given with reference to the accompanying drawings. In the following description of the present invention, detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

In the present specification, when any one element 'transmits' data or signals to another element, the element can transmit the data or signal directly to the other element, and through at least one other element Data or signal can be transmitted to another component.

1 is a diagram illustrating a quality inspection system based on an integrated quality control according to an embodiment of the present invention. 2 is a diagram for explaining functions of components constituting a quality inspection system based on an integrated quality control according to an embodiment of the present invention. Referring to FIGS. 1 and 2, a quality inspection system based on an integrated quality management system includes a common utilization system administrator terminal 10, a common utilization quality manager terminal 20, an observing organization quality manager terminal 30, a system user terminal 40 An observing engine quality representative terminal 50, a collection / processing system 60, and an integrated quality management system 70. Although the joint utilization quality manager terminal 20, the observation agency quality manager terminal 30, the system user terminal 40, and the observation agency quality officer terminal 50 are classified as terminals, the integrated quality management system 70 is not limited to the terminals. It can be transformed into an object that can access.

The common utilization system administrator terminal 10 accepts the request of the general user and selects and registers the common utilization quality manager as the integrated quality management system 70.

The common utilization quality manager terminal 20 sets a reference value for the QC inspection at each step, refers to the inquiry and statistical data, and performs non-real-time QC through the integrated quality management system 70.

The observing organization quality manager terminal 30 can inquire the QC result data of the observing organization belonging to the integrated quality management system 70 and can request correction of the wrong result.

The system user terminal 40 can query the system manager for the currently requested items.

The collection / processing system 60 is a system for collecting raw data from the observation equipment and distributing raw data to the integrated quality management system 70 for QC inspection and receiving the QC results.

1, a concrete process is schematically illustrated between the respective components. First, the common utilization system administrator terminal 10 registers the common utilization quality manager with the integrated quality management system 70 (S1).

After step S1, the common utilization quality manager terminal 20 transmits a QC standard value automatic statistics generation request to the integrated quality management system 70 (S2).

After step S2, the integrated quality management system 70 causes the common utilization quality manager terminal 20 to display the results of automatic generation of the QC reference value (S3).

After the step S3, the common utilization quality manager terminal 20 sets the QC reference value to the integrated quality management system 70 (S4).

After step S4, the system user terminal 40 sends an observing organization quality manager / manager authority request to the integrated quality management system 70 (S5).

Accordingly, the integrated quality management system 70 causes the system user terminal 40 to display the result of requesting the observing organization quality manager / administrator authority (S6).

After step S6, the collection / processing system 60 transmits the QC object data to the integrated quality management system 70 (S7).

After step S7, the integrated quality management system 70 causes the observing organization quality representative terminal 50 to perform QC result inquiry (S8).

After step S8, the observing organ quality manager terminal 50 transmits a QC result modification request to the integrated quality management system 70 (S9).

After step S9, the integrated quality management system 70 causes the observing organization quality manager terminal 30 to display a QC result modification request (S10). Accordingly, the observing organization quality manager terminal 30 approves the QC modification request to the integrated quality management system 70 (S11).

After step S11, the common utilization quality manager terminal 20 requests non-real-time QC to the integrated quality management system 70 (S12).

Accordingly, the integrated quality management system 70 transmits the QC result data to the collection / processing system 60 (S13).

1 and 2, the integrated quality management system 70 applies a consistent quality standard for observation data collected at the observation point, and performs quality inspection (QC) for improving quality of the observation data and ensuring consistency. It is a system for utilizing only observation data above the appropriate quality standard. In addition, the integrated quality management system 70 classifies the error rate and the loss ratio of the quality control result of the joint utilization center into various characteristics such as branch and institution, performs statistical analysis activities, This is a business process for the integrated quality management system for securing high quality of meteorological observation data through systematic quality improvement activities during the entire process up to the stage.

The main functions of the integrated quality management system 70 are as follows. First, it carries out the automatic and manual performance function of the quality inspection by type and step. Second, the base quality inspection result value and detailed flag check function are performed. Third, the real - time monitoring function of quality inspection performance.

Looking at the first function in more detail, the integrated quality management system 70 performs real-time quality inspection, non-real time quality inspection, quasi-real time quality inspection by the quality inspection method corresponding to the first category. The integrated quality management system 70 may include a physical limit test, a step test, an internal consistency test, a persistence test, a climate range test, a central filter value test, a Cressman technique, a Barnes technique , The Madsen-Allerup technique, and the AMeDAS precipitation test.

Below. Referring to FIGS. 3 to 12, a quality inspection method corresponding to the first category performed by the integrated quality management system 70 will be described in detail.

3 is a flow chart illustrating real-time quality testing performed by the integrated quality management system 70. FIG. Referring to FIGS. 1 to 3, the real-time quality inspection is performed by the integrated quality management system 70 automatically at intervals of a minute, according to the procedure shown in FIG.

4 is a flow chart illustrating a quasi-real-time quality check performed by the integrated quality management system 70. FIG. Referring to FIG. 4, the integrated quality management system 70 does not perform the quality inspection at the same time as the data is collected. Instead, the integrated quality management system 70 processes the entire data including the delay data after 24 hours at a time, , And the statistics for this are counted.

5 is a flow diagram illustrating a non-real-time quality check performed by the integrated quality management system 70. FIG. Referring to FIG. 5, the integrated quality management system 70 is a function that a quality manager manually performs a quality check on a specific period or time range, and performs a batch quality check on past observation data.

The quality inspection process performed by the integrated quality management system 70 is a main function of the above-mentioned real-time, non-real-time, and quasi-real-time quality inspection methods and includes 10 types of quality inspection algorithms (physical limit inspection, step inspection, It is essential to improve the reliability of data quality by applying the procedure to meteorological data in a certain way, such as sex inspection, persistence inspection, climate range inspection, central filter value inspection, Cressman technique, Barnes technique, Madsen-Allerup technique, AMeDAS precipitation test.

FIG. 6 is a diagram for explaining quality improvement process procedure improvement performed by the integrated quality management system 70 according to an embodiment of the present invention. Referring to FIG. 6, the conventional method, such as the left AS-IS, applies 10 quality inspection (QC) algorithms to data. When the quality check algorithm is normal or n + 1 (QC) algorithm is performed. When the quality of the data is checked, if it is an error, the quality check algorithm is not performed at the further step, and the following flag value is set

n-1 step algorithm: normal / suspicious flag

n step algorithm: error flag

n + 1 level algorithm: Unchecked flag

The quality check algorithm is a program that sets its own reference value and, if the reference value is out of range, an error. If there is a value in the reference value, it is processed as a success. The reference value is set based on the weather phenomenon thought to be unrealizable in the past. Therefore, the existing method is local like the current weather phenomenon, and when the unexpected value is actually observed, it is determined that the data is an error, which can cause a great problem in the determination of the weather phenomenon. Therefore, even if the quality check in step n is an error, all of the step quality check algorithms after n + 1 are performed so that they can be inspected at different angles. And to change the quality inspection process so that it can accurately determine the weather phenomena.

That is, the integrated quality management system 70 intends to change the QC flag of the current applied quality inspection (QC) algorithm. The current QC algorithm and the applied QC flag are as follows.

As described with reference to FIG. 6, the value of the QC flag, which is the result of the inspection at each step, is changed as shown in FIG. 8 as the quality inspection process is changed.

Next, the integrated quality management system 70 according to the present invention will examine the process of analyzing the meteorological data quality through the QC flag and the observation apparatus error determination process. The current system does not have a process to analyze the quality of meteorological data using QC flags or to judge an observation instrument error. We can suggest that there is a correlation between QC flag, meteorological quality analysis, and observation equipment during actual quality activities. Therefore, we propose quality analysis and error measurement method of observation equipment using QC flag with heuristic statistical method.

When all of the above-mentioned 10-step quality algorithms are performed in the QC Flag value definition on the integrated quality management system 70, the QC flag values for each step are mapped to one value as shown in FIG.

Referring to FIG. 10, the QC flag heuristic analysis performed by the integrated quality management system 70 will be described.

The process as shown in FIG. 10 is performed by a device that performs quality analysis through analyzing the pattern of QC flag by heuristic statistical method and error measurement of observation equipment. The QC flag pattern analysis analyzes the convergence phenomenon of the QC flag value by mapping the QC flag to the case according to the present invention by registering the QC flag value as shown in FIG. 10, and shows in which case the QC flag value is hacked, And the like.

In other words, the integrated quality management system 70 can perform all steps (physical limit inspection, step inspection, internal consistency inspection, persistence inspection, climate range inspection, central filter value inspection, Cressman technique, Barnes technique, Madsen- Allerup technique, AMeDAS precipitation (Step S21). ≪ / RTI >

As a result of the determination in step S21, the integrated quality management system 70 determines whether all the steps (physical limit inspection, step inspection, internal consistency inspection, persistence inspection, climate range inspection, central filter value inspection, Cressman technique, Barnes technique, Allerup technique, AMeDAS precipitation test), the QC flag value error is registered (S22).

As a result of the determination in step S21, the integrated quality management system 70 determines whether there is one or more errors in each step (S23).

As a result of the determination in step S23, if there is not more than one error in each step, the integrated quality management system 70 registers the QC flag value as normal (S24).

On the other hand, if it is determined in step S24 that the integrated quality management system 70 has one or more errors in each step, the integrated quality management system 70 calculates a probability value for the QC flag value for each case (S25).

After step S25, the integrated quality management system 70 determines whether to register as a case based on the probability value calculated in step S25 (S26).

As a result of the determination in step S26, if it is determined that normal determination is possible, the integrated quality management system 70 registers the QC flag in step S27.

On the other hand, if it can not be determined as a result of the determination in step S26, the integrated quality management system 70 checks the measured value and determines whether it is normal or error (S28).

If it is determined to be normal in step S28, the integrated quality management system 70 registers the QC flag value as a normal case (S29).

On the other hand, if it is determined to be an error as a result of the determination in step S28, the integrated quality management system 70 registers the QC flag value as an error case (S30).

More specifically, the QC flag value mapping (registration) method for each case performed by the integrated quality management system 70 will be described in detail. If the QC flag is not normal after the quality check, And the QC flag value is mapped to the analyzed case. Especially, QC flag errors or suspected values are considered to be normal data after the final administrator decision, which reduces the error rate by further subdividing the case.

The heuristic QC flag check performed by the integrated quality management system 70 calculates a probability value for the QC flag value for each case in order to determine the meaning of the QC flag value after the quality check. That is, when a specific QC flag value is generated, it displays the probability that the QC flag value is included in each case to the calculation manager so that the meaning of the QC flag value can be determined.

In particular, if the QC flag value is abnormal after the quality check but the QC flag value is mapped to the normal case even if there is only one case that is determined to be normal by the manager, the manager can judge the data result .

The administrator can interpret the meaning of the QC flag value by referring to the probability value per case corresponding to the QC flag value.

11 is a reference chart showing an example of calculating a probability value for each case.

As described above, preferred embodiments of the present invention have been disclosed in the present specification and drawings, and although specific terms have been used, they have been used only in a general sense to easily describe the technical contents of the present invention and to facilitate understanding of the invention , And are not intended to limit the scope of the present invention. It is to be understood by those skilled in the art that other modifications based on the technical idea of the present invention are possible in addition to the embodiments disclosed herein.

10: Common utilization system administrator terminal
20: Common utilization quality manager terminal
30: Observation Engine Quality Manager terminal
40: system user terminal
50: Observation Engineer
60: collection / processing system
70: Integrated Quality Management System

Claims (4)

The integrated quality control system has 10 algorithms (physical limit test, step test, internal consistency test, persistence test, climate range test, central filter value test, Cressman method, Barnes method, Madsen-Allerup method, AMeDAS precipitation test). A first process of determining whether or not an error; And
The integrated quality management system performs the 10 steps (physical limit test, step test, internal consistency test, persistence test, climate range test, median filter value test, Cressman method, Barnes method, Madsen-Allerup method, AMeDAS precipitation test). A second step of registering a QC flag value error when all errors are present; Quality inspection method based on integrated quality management system comprising a.
The method according to claim 1,
The second step comprises:
Step 2-1 of the integrated quality management system determining whether at least one error exists in each step when the error is not present in all of the ten steps; And
Step 2-2 of the integrated quality management system registering the QC flag value as normal when one or more errors do not exist in each step as a result of the determination; Quality inspection method based on the integrated quality management system characterized in that it further comprises.
The method according to claim 2, wherein
The 2-2 process,
If the integrated quality management system has one or more errors in each step, the second value for determining whether to register as a case based on the calculated probability value after calculating a probability value for each case's QC flag value; a) process; And
A step 2-2 (b) of registering a QC flag when the integrated quality management system is able to make a normal determination and registers as a case; Quality inspection method based on the integrated quality management system characterized in that it further comprises.
The method of claim 3, wherein
After the process of 2-2 (b),
If it is determined that the integrated quality management system is normal, registering a QC flag value as a normal case, and if it is determined as an error, registering the QC flag value as an error case; Quality inspection method based on the integrated quality management system characterized in that it further comprises.

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