KR20180000829A

KR20180000829A - Fool proof system for factory automation line and method of operating thereof

Info

Publication number: KR20180000829A
Application number: KR1020160079000A
Authority: KR
Inventors: 김덕현
Original assignee: 한국항공우주산업 주식회사
Priority date: 2016-06-24
Filing date: 2016-06-24
Publication date: 2018-01-04
Also published as: KR101880555B1

Abstract

The present invention relates to a full-proof system for a factory automation line and a method of operating the same, and more particularly, to a full-proof system for a factory automation line, The present invention relates to a full-proof system and method for operating a full-proof system in which a mis-insertion of a product is prevented in advance by double-determining whether a product on a predetermined schedule is input based on information.

Description

Technical Field [0001] The present invention relates to a full-proof system of a factory automation line and a method of operating the same.

Automated systems are essential for mass production of products made in all manufacturing sectors, especially products with complex structures such as household appliances, automobiles, and aircraft, through repetitive processes.

The automation process is a system in which a machine automatically generates a large quantity of products in a short period of time using a computer and a variety of equipment. In a narrow sense, in the actual production of a product, local automation such as production process, automation of measurement and control, And in a broader sense, a system technology that efficiently and organically combines all production activities from order receipt to shipment of the product.

In this way, factory automation system is widely used in production lines of automobiles and electronic products, thereby contributing to productivity improvement and industrial change as well as reducing labor cost of workers.

However, in a direct production process such as a process of automatically assembling parts, a lot of automation technology has been applied. However, in the process of inputting a part (or product) into the process, Can not completely solve the worker's mistakes as the person confirms it with the naked eye.

Recently, a system for automatically recognizing a barcode or RFID of a product input into a process has been introduced. However, even in this case, there is still a possibility that a worker may make a mistake because the operator must confirm the misplacement of the product based on the recognized information.

Therefore, in order to solve such a problem, a factory automation system needs to be applied to a so-called full-proof system, which can fundamentally prevent human error.

Korean Patent Laid-Open No. 10-2008-0016514

SUMMARY OF THE INVENTION The present invention has been made in order to solve the problems described above, and an object of the present invention is to provide an information processing apparatus and method, And a method of operating the pull proof system and a method of operating the pull proof system, which can prevent mis-insertion of a product by double-determining whether or not a product on a schedule scheduled in advance is inserted.

A full proof system for preventing mis-insertion of a product in an automation line of a factory according to an embodiment of the present invention includes a tag recognition unit for recognizing a tag attached to a product input into a specific process and extracting order information for the product, ; A first determining unit for comparing the order information with planned order information on a scheduler to determine whether the product is a product corresponding to a current input order and outputting OK or NG; A sensor unit for sensing a shape or size of the product; A second determination unit for comparing the measured value transmitted from the sensor unit with a criterion for planned order information on the scheduler to determine whether the product is a product corresponding to a current input order and outputting OK or NG; And an operation unit for outputting an abnormality occurrence signal and stopping the process when at least one of the information output from the first determination unit and the second determination unit is NG.

The second determination unit may include a database storing a determination reference including a reference measurement value and a tolerance measured in advance for each order information of products that can be input into the process; And retrieving, from the database, a determination criterion corresponding to the planned order information on the scheduler and confirming that the measured value meets a tolerance for the reference measurement value of the criterion, And outputting an OK or NG signal.

In addition, the sensor unit may be composed of one or more sensors selected from a laser sensor, a machine vision, a touch probe, and a vacuum sensor according to a characteristic shape of each product.

A method of operating a full proof system including a tag recognition unit, a first determination unit, a sensor unit, a second determination unit, and an operation unit according to an exemplary embodiment of the present invention to prevent mis- A) recognizing the tag and extracting order information for the product when the tag-attached product is inserted into a specific process; B) comparing the order information with planned order information on a scheduler to determine whether the product is a product corresponding to a current input order and outputting OK or NG; C) sensing and transmitting the shape or size of the product to the sensor unit; The second determination unit compares the measurement value transmitted from the sensor unit with the determination reference corresponding to the planned order information on the scheduler to determine whether the product is the product corresponding to the current input order and outputs OK or NG ) step; And e) outputting an abnormality occurrence signal and stopping the process when at least one of the information output from the first determination unit and the second determination unit is NG, by the operation unit.

The method may further include storing in the database a determination reference including a reference measurement value and a tolerance measured in advance for each order information of products that can be input into the specific process before the step c) The step d) invokes a decision criterion corresponding to the planned order information on the scheduler from the database and confirms that the measure meets the tolerance for the reference measure of the decision criterion, It can be determined whether the product is a corresponding product.

The present invention can fundamentally solve the operator's mistake by double checking whether the product matches the planned order information on the scheduler of the MES based on the tag information and the shape information of the yarn product input to each process, Can be managed and monitored in real time.

The present invention can be applied to all manufacturing fields. Especially, it can be utilized as a safety device to prevent mis-insertion of raw materials, components, products, and the like into the process line.

1 is a schematic block diagram of a full proof system according to an embodiment of the present invention;
2 is a flow chart illustrating a method of operating a full proof system in accordance with an embodiment of the present invention.

Hereinafter, the technical idea of the present invention will be described more specifically with reference to the accompanying drawings.

BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are included to provide a further understanding of the technical concept of the present invention, are incorporated in and constitute a part of the specification, and are not intended to limit the scope of the present invention.

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a full-proof system applied to prevent mis-insertion of products in an automation line of a factory.

A fool proof system is a system that can perform processing facilities appropriately even in the precision machining industry, even if the skill level is low. It also prevents malfunctions caused by human and mechanical factors, thereby improving quality, efficiency and safety. It is a production management system that can prevent human errors by automatically stopping the process when mistakes or omissions occur.

Such a full-proof system would have to be applied to a factory automation system even if it takes a lot of construction cost, considering the cost of loss when a component is mistakenly manufactured and a problem occurs.

1 is a schematic block diagram of a full-proof system according to an embodiment of the present invention. As shown in the figure, a full proof system according to an embodiment of the present invention includes a tag recognition unit 100, a first determination unit 200, a sensor unit 300, a second determination unit 400, 500).

The tag recognizing unit 100 recognizes a tag attached to a product input into a specific process and extracts order information for the product. That is, a tag inserted with product information including order information is attached to each product in the automation line, and therefore, the tag is recognized by the reader before the product is transferred or inserted, and the order information is extracted . At this time, the tag may be an RFID, a bar code, or the like, but may be used without limitation as long as it can contain product information.

The first determination unit 200 compares the order information extracted by the tag recognition unit 100 with the planned order information on the scheduler to determine whether the product is a product corresponding to the current order of input, Output module.

Generally, a factory automation line is managed by a Manufacturing Execution System (MES) 10, which manages the operation of all facilities of the plant and monitors the progress of the production process The scheduler manages the schedule for each process (information on how many products should be currently operated for each specific process), and manages all resources (manpower, etc.) in the production process, , Equipment, and materials) as well as production-related quality data. The MES 10 is a network in which an operating computer installed to collect manufacturing process data for each manufacturing process step is connected to one or more manufacturing process control servers through a network.

The first determination unit 200 is connected to the MES 10 via the network and transmits the pre-planned order information on the scheduler of the MES 10 to the first determination unit 200. The first determination unit 200 Compares the two order information to check whether the currently input product is a product corresponding to the current input order, and outputs an OK signal when it matches, and an NG signal when inconsistent.

Meanwhile, the sensor unit 300, which is separately provided, measures a size or shape information of a product to be introduced into a specific process. The sensor unit 300 is provided for each process in the same manner as the tag recognition unit 100. The sensor unit 300 may include at least one sensor selected from a laser sensor, a machine vision sensor, a touch probe, and a vacuum sensor according to a characteristic shape of each product . In other words, to produce one product normally, a series of processes ranging from material processing (5-Axis Machine), Deburr, FPI inspection, 3D dimension measurement (CMM) Production process. At this time, the appropriate sensor is used based on the feature of the product to be inputted for each process.

As a specific example, when the product is a simple type part such as a raw material, the sensor unit 300 may be constituted by a laser sensor to measure the length in the longitudinal direction (or the width direction). Or if the product is assembled with a number of parts or has a complicated structure, the sensor unit 300 may be configured as machine vision to measure the shape information of the product. In some cases, a touch probe may be used to contact a plurality of pins on the surface of the product to measure the amount of change in the pin according to the curved surface of the product, thereby measuring the three-dimensional curved surface or curve information. The measured value sensed through the sensor unit 300 is transmitted to the second determiner 400. [

The second determination unit 400 compares the measurement value transmitted from the sensor unit 300 with a determination criterion for the planned order information on the scheduler to determine whether the product is a product corresponding to the current input order, NG output module.

Specifically, the second determination unit 400 according to an embodiment of the present invention may include a database (not shown) and a tolerance determination unit (not shown).

The database is a memory in which a determination reference including a reference measurement value and an allowance tolerance measured in advance for each order information of products that can be input into the process is stored. For example, when the sensor unit 300 is a laser sensor, a reference measurement value in which a length of a product to be supplied to the process is measured in advance, and a tolerance for a reference measurement value are stored. When the sensor unit 300 is machine vision, it is possible to measure the three-dimensional shape information to obtain the reference measurement values such as the length information and the angle with respect to the three-axis directions and the respective tolerances. Alternatively, When it is possible to detect a single number or a plurality of holes, the reference position information of the hole can be extracted and the tolerance for the hole can be calculated and stored.

Similarly to the first determination unit 200, the tolerance determination unit receives the planned order information on the scheduler from the MES 10, and retrieves the determination reference (reference measurement value and tolerance) corresponding to the order information received from the database . Then, it is determined whether the measured value received from the sensor unit 300 satisfies the tolerance for the reference measurement value, thereby determining whether the product inserted into the process is the product corresponding to the current injection order, and outputs an OK or NG signal do.

Lastly, when at least one of the information output from the first determination unit 200 and the second determination unit 400 is NG, the operation unit 500 outputs an abnormality generation signal and stops the process , The facility of the process is automatically activated only when both output information are OK, so that the process proceeds without any problem.

Meanwhile, as described above, the tag recognition unit 100 and the sensor unit 300 are provided for each process of the automation line of the plant at predetermined positions, so that the full proof system according to the embodiment of the present invention can be realized by the operator And a display unit (not shown) for integrally displaying the current progress of all processes.

The display unit can be updated every time a product is inserted into the display unit, and the position of the equipment into which the product is inserted, the product input time, the order information, and the processing result of the operation unit can be displayed. Therefore, the operator can know the current progress at a glance, can immediately recognize the position where the abnormality occurs, and can take necessary measures.

FIG. 2 is a flowchart illustrating an operation method of a full-proof system according to an embodiment of the present invention.

Hereinafter, a method of operating the full proof system according to an embodiment of the present invention will be described step by step with reference to FIG.

First, when a tagged product is inserted into a specific process, the tag recognizing unit 100 recognizes the tag and extracts order information for the product (a) (S100). Thereafter, the first determination unit 200 compares the order information with the planned order information on the scheduler, determines whether the product is a product corresponding to the current input order, and outputs OK or NG (step S200) Is performed.

(C) a step (S300) of sensing the shape or size of the product by the sensor unit 300 independently of the steps (a) and (b), and the second determination unit Comparing the measurement value transmitted from the sensor unit 300 with a criterion corresponding to the planned order information on the scheduler to determine whether the product is a product corresponding to the current input order and output OK or NG; (S400) are sequentially performed.

If at least one of the information output from the first determination unit 200 and the second determination unit 400 is NG, the operation unit 500 outputs an abnormality occurrence signal in step e) The process is stopped, and the facility is automatically started only when all of the processes are OK (S500).

Although not shown in the drawings, the step of storing the determination reference including the reference measurement value and the tolerance previously measured for each order information of the products that can be put into the specific process before the step c) is stored in the database do. Thus, in step d), a determination criterion corresponding to the planned order information on the scheduler is retrieved from the database, and by confirming that the measurement satisfies the tolerance for the reference measurement value of the criterion, It is determined whether the product is a corresponding product, and OK or NG is output.

The present invention is a method for determining whether a product is misplaced by comparing order information of a real product arriving at a process with order information on a scheduler of the MES (10) It is possible to apply any one of the methods of judging whether or not the product is misplaced, but it is effective to prevent mis-insertion of the product with excellent reliability by designing the redundant structure by applying both of the above two methods .

It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

10: MES
100: tag recognition unit
200: first judgment unit
300:
400: second judgment unit
500:

Claims

What is claimed is: 1. A full-proof system for preventing mis-insertion of a product in an automation line of a factory,
A tag recognizing unit (100) for recognizing a tag attached to a product input into a specific process and extracting order information for the product;
A first determination unit (200) for comparing the order information with planned order information on a scheduler to determine whether the product is a product corresponding to a current input order and outputting OK or NG;
A sensor unit 300 for sensing the shape or size of the product;
A second determination unit for comparing the measurement value transmitted from the sensor unit 300 with a determination criterion for the planned order information on the scheduler to determine whether the product is a product corresponding to the current input order and outputting OK or NG, (400); And
An operation unit 500 for outputting an abnormality occurrence signal and stopping the process if at least one of the information output from the first determination unit 200 and the second determination unit 400 is NG;
Lt; / RTI >

The method according to claim 1,
The second determination unit (400)
A database storing a determination reference including a reference measurement value and a tolerance measured in advance for each order information of products that can be input into the process; And
A determination criterion corresponding to the planned order information on the scheduler is retrieved from the database to confirm whether the measured value meets the tolerance for the reference measurement value of the criterion, And outputs OK or NG;
Wherein the full-proof system comprises:

The method according to claim 1,
The sensor unit (300)
Wherein the sensor is configured by at least one sensor selected from a laser sensor, a machine vision sensor, a touch probe, and a vacuum sensor according to a characteristic shape of each product.

The tag recognition unit 100 includes a first determination unit 200, a sensor unit 300, a second determination unit 400, and an operation unit 500, A method of operating a full-proof system,
a step S100 of recognizing the tag and extracting order information for the product when the tagged product is inserted into a specific process;
b) comparing the order information with planned order information on the scheduler, and determining whether the product is a product corresponding to a current order of input, and outputting OK or NG (S200);
c) sensing (S300) the shape or size of the product by the sensor unit (300);
d) The second determination unit 400 compares the measurement value delivered from the sensor unit 300 with a determination criterion corresponding to the planned order information on the scheduler, and determines whether the product is a product corresponding to the current insertion order And outputting OK or NG (S400); And
e) If at least one of the information output from the first determination unit 200 and the second determination unit 400 is NG, the operation unit 500 outputs an abnormality generation signal and stops the process Step S500;
Lt; RTI ID = 0.0 > 1, < / RTI >

5. The method of claim 4,
Prior to step c)
Storing a determination criterion including a reference measurement value and an allowable tolerance, which are measured in advance by order information of products that can be input into a specific process, in a database;
Further comprising:
The step d)
A determination criterion corresponding to the planned order information on the scheduler is retrieved from the database and whether the measured value meets a tolerance for the reference measurement value of the criterion is checked to determine whether the product is a product corresponding to the current insertion order The method comprising the steps of: