KR101929742B1 - Smart factory system - Google Patents

Smart factory system Download PDF

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KR101929742B1
KR101929742B1 KR1020170000621A KR20170000621A KR101929742B1 KR 101929742 B1 KR101929742 B1 KR 101929742B1 KR 1020170000621 A KR1020170000621 A KR 1020170000621A KR 20170000621 A KR20170000621 A KR 20170000621A KR 101929742 B1 KR101929742 B1 KR 101929742B1
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sensor
work
unit
work time
time data
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KR1020170000621A
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KR20180079893A (en
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박영일
박기정
박준태
전경수
전후남
최형림
문영식
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동아대학교 산학협력단
유에이치에스(주)
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04—Manufacturing
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

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Abstract

The present invention relates to a smart factory system capable of designing an optimal system because it is possible to identify a communication method suitable for a process by grasping the reliability of the operation time according to each process transmitted through wire / wireless communication.
The present invention relates to a method and apparatus for controlling a manufacturing process of a process, which is installed in production equipment for each process line, generates a recognition signal by recognizing the time during production of each part, Generating smart factory device; An internal task group server for communicating wired and wireless communication with the smart factory device to receive work time data for each process and collecting the work time data for each process into work group work time data according to a predetermined criterion; And an external main server for receiving and storing the work group work time data collected from the internal work group server via the Internet network and calculating and monitoring the wireless reliability of the work group work time data .

Description

Smart factory system

The present invention relates to a smart factory system, and more particularly, to a smart factory system capable of designing an optimal system by identifying a communication method suitable for a process by grasping the reliability of work time according to each process transmitted through wired / ≪ / RTI >

In general, measuring work time is an indispensable process not only for more efficient work methods but also for operator and process management and cost management.

On the other hand, it is possible to maximize the reliability of the work time data by connecting the work time measuring device installed in the factory to the server by wire, but when the electric supply or wiring is difficult, the installation cost rises sharply, It is necessary to change the installation position of the work time measuring device every time the structure of the work time measuring apparatus is changed, so that new piping and wiring are required. If the piping wiring is delayed, there is a difference in information and it is difficult to grasp the accurate working time.

In addition, connecting the factory-installed work time measuring device wirelessly to the server can reduce the installation cost for the electric supply and can be used without changing the installation position of the work time measuring device every time the structure of the factory is changed There is a disadvantage in that the reliability of the working time data is somewhat lowered due to the occurrence of the radio frequency interference phenomenon and the missing of the working time data.

Therefore, it is necessary to develop a smart factory system that can reduce the installation cost while ensuring high reliability of data by minimizing missing work time data measured by each process.

Korean Registered Patent No. 10-1154521 (June 01, 2012)

SUMMARY OF THE INVENTION The present invention has been made in order to solve the above-mentioned problems, and it is an object of the present invention to provide a work time measuring system and a server, It is an object of the present invention to provide a smart factory system capable of reducing installation costs while ensuring high reliability of data by minimizing missing work time data measured by processes.

Meanwhile, the object of the present invention is not limited to the above-mentioned objects, and other objects not mentioned can be clearly understood from the following description.

In order to achieve the above object, a smart factory system according to the present invention is installed in production equipment for each process line, and recognizes the time during production of each part to generate a recognition signal, A smart factory device for generating process-specific work time data including time information; An internal task group server for communicating wired and wireless communication with the smart factory device to receive work time data for each process and collecting the work time data for each process into work group work time data according to a predetermined criterion; And an external main server for receiving and storing the work group work time data collected from the internal work group server through the Internet network and calculating and monitoring the wireless reliability of the work group work time data.

In addition, the work time data for each process further includes unique identification information of each process, the internal work group server classifies the work time data for each process according to a wired and wireless communication method, A first collecting unit for collecting the work group work time data from the plurality of work collecting units and generating work group work time data by grouping them into a work group; And a second collecting unit for generating the factory work time data.

The external main server may further include a reliability calculating unit that receives the factory work time data from the second collecting unit and calculates a wireless reliability of the factory work time data based on a wired communication method, And a work environment database for classifying the processes according to processes utilizing unique identification information of the process and storing the classified processes together with the wireless reliability.

A temperature sensing unit for sensing the temperature and humidity of the site to generate temperature data and humidity data and transmitting the temperature data and the humidity data to the external server through wired or wireless communication, Wherein the external main server generates and stores or displays the wireless reliability data according to temperature and humidity.

The smart factory apparatus includes a body unit, a sensor unit connected to the body unit, installed in production equipment for each process line, and generating a recognition signal including time according to each component, A work time calculation unit for generating work time information including a work time of the process calculated based on the recognition signal; and a work time information calculation unit, installed in the main body unit, And a communication unit for transmitting the data to the mobile station.

The sensor unit may include a first sensor installed at one end of the production equipment for each process line in which the component enters, a first sensor for recognizing the parts placed on the production equipment and generating a first recognition signal including a work start time, And a second sensor which is installed at the other end of the production equipment for each process line to advance and recognizes a part approaching the other end of the production equipment and generates a second recognition signal including a work end time.

According to the solution of the above problem, the smart factory system of the present invention can calculate the wireless reliability of the work group work time data on the basis of the work time data for each process, so that it can be easily grasped There is an effect that can be.

In addition, the smart factory system of the present invention allows the user to more clearly grasp the criteria for calculating the reliability of the wireless terminal through the first collecting unit and the second collecting unit of the internal working group server, And the wireless reliability can be accurately calculated through the work time data for each process classified by the wireless communication method.

In addition, since the smart factory system of the present invention can detect and monitor the temperature and humidity on the site through the work environment sensing device, it can prevent the malfunction and damage of the production equipment due to the increase of temperature and humidity, And it is possible to provide a comfortable working environment.

1 is a schematic view of a smart factory system according to a first embodiment of the present invention.
2 is a schematic view of a smart factory system according to a second embodiment of the present invention.
FIG. 3 is a diagram illustrating an internal task group server of a smart factory system according to a second embodiment of the present invention.
4 is a schematic view of a smart factory system according to a third embodiment of the present invention.
FIG. 5 is a diagram showing a smart factory device of the smart factory system according to the first embodiment of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention, and the manner of achieving them, will be apparent from and elucidated with reference to the embodiments described hereinafter in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments described below, but may be embodied in various different forms, and these embodiments are not intended to be exhaustive or to limit the scope of the present invention to the precise form disclosed, It is provided to inform the person completely of the scope of the invention. And the terminology used herein is for the purpose of illustrating embodiments and is not intended to be limiting of the present invention. The singular forms herein include plural forms unless the context clearly dictates otherwise.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. Brief Description of Drawings FIG. 1 is a block diagram of a computer system according to an embodiment of the present invention; FIG. 2 is a block diagram of a computer system according to an embodiment of the present invention; FIG.

1 is a schematic view of a smart factory system according to a first embodiment of the present invention.

1, the smart factory system according to the first embodiment of the present invention includes a smart factory device 100, an internal working group server 300, and an external main server 500.

The smart factory apparatus 100 is installed in production equipment for each process line, generates a recognition signal by recognizing the time during production of each component, and performs a process operation including the operation time information calculated based on the recognition signal And generates time data. The smart factory apparatus 100 can automatically generate a recognition signal according to a part so as to conveniently measure the time during production of a part, and a detailed description thereof will be described later with reference to FIG.

The internal work group server 300 communicates wired and wirelessly with the smart factory device 100 to receive work time data for each process and collect work time data for each process as work group work time data according to a predetermined criterion. In this case, a process refers to a single work step that must be performed in the process of producing a product, and a work group refers to a group consisting of a plurality of processes, and a factory includes a plurality of work groups.

The external main server 500 receives and stores the work group work time data collected from the internal work group server 300 through the Internet network and calculates and monitors the wireless reliability of the work group work time data.

As described above, the first embodiment of the present invention can calculate the wireless reliability of the work group work time data based on the work time data for each process, so that it is possible to easily determine whether the wireless communication method is appropriate in the work group.

At this time, it is preferable to connect the smart factory device 100 and the inner work group server 300 together with the wireless network to designate the criteria of the wireless reliability calculation, which will be described in detail with reference to FIG.

FIG. 2 is a schematic view of a smart factory system according to a second embodiment of the present invention, and FIG. 3 is a diagram illustrating an internal working group server of a smart factory system according to a second embodiment of the present invention.

2, the smart factory system according to the second embodiment of the present invention includes a smart factory device 100, an internal task cluster server 300 and an external main server 500, (300) includes a first collecting part (310) and a second collecting part (320).

At this time, the work time data for each process further includes unique identification information of each process. For example, the unique identification information of the process may include the position where the process is performed, the information of the parts used in the process, and the like.

The first collecting unit 310 classifies the work time data for each process according to the wired and wireless communication methods, groups the work data into work groups according to the unique identification information of the processes, and generates work group work time data.

The second collecting unit 320 receives the work group work time data from the plurality of first collecting units 310 and groups the work group data according to the unique identification information of each work group stored in advance to generate the factory work time data. For example, the unique identification information of the work group may include the number of processes constituting the work group, product information produced in the work group, and the like.

Referring to FIG. 3, the first collecting unit 310 and the second collecting unit 320 will be described in detail. In the first collecting unit 310, operations in the A work group including the a 1, a 2, and a 3 processes You can see an example where the county work time data is stored.

When the first collecting unit 310 receives the work time data for each process (a 1 process hour data, a 2 process hour data, and a 3 process hour data), the first collecting unit 310 classifies the processes according to the wired and wireless communication methods, Group work time data (A work group work time data).

In this case, the first collecting unit 310 is formed in plurality by job group A working group, as well as b 1, b 2, b B task group consisting of the third step, c 1, c 2, C work consisting of a c third step And work group time data for a plurality of work groups such as a group.

The second collecting unit 320 receives and collects a plurality of work group work time data (A work group work time data, B work group work time data) to generate factory work group work time data.

As described above, it is possible to more clearly grasp the criteria for calculating the reliability of the wireless terminal through the first collecting unit 310 and the second collecting unit 320 of the second embodiment of the present invention, And the wireless reliability can be accurately calculated through the work time data for each process classified by the wireless communication method.

4 is a schematic view of a smart factory system according to a third embodiment of the present invention.

4, the smart factory system according to the third embodiment of the present invention includes a smart factory device 100, an internal task cluster server 300, and an external main server 500, 500 includes a reliability calculating unit 510 and a work environment database 520. [

The reliability calculating unit 510 receives the factory work time data from the second collecting unit 320 and calculates the wireless reliability of the factory work time data based on the wired communication method. At this time, calculating the wireless reliability based on the wire communication method is likely to be higher than the wireless reliability since the probability of missing data is low when data is transmitted through the wire.

Using the calculated reliability, the wire reliability of the work group work time data transmitted by wire, and the preset reliability error criterion, it is possible to determine whether the wireless communication scheme is appropriate in the work group. For example, if the wireless reliability is 98%, the wire reliability is 100%, and the reliability error criterion is 3%, a difference of 2% between the wire reliability and the wireless reliability satisfies the reliability error criterion, It can be determined that the wireless communication system is suitable because no interference phenomenon occurs.

On the contrary, when the wireless reliability is 90%, the wire reliability is 100%, and the reliability error criterion is 3%, 10% difference between the wire reliability and the wireless reliability is out of the reliability error criterion, It can be determined that the wireless communication method is inadequate.

At this time, the radio frequency interference phenomenon refers to a phenomenon in which an electronic device or the like is interfered with due to various electromagnetic field radiation so that data may be omitted. It is mainly caused by unwanted emission of electromagnetic energy and can also occur through power lines or other leads that are brought into the equipment.

The work environment database 520 classifies the factory work time data by processes using the unique identification information of the process, and stores the data together with the wireless reliability. Accordingly, since the working time data can be confirmed by the process, there is an advantage that the working time can be easily and conveniently grasped.

On the other hand, if the temperature or the humidity is high, the production equipment may malfunction and the precision operation may become difficult. In addition, due to the rise of humidity, the equipment may be damaged due to insulation breakdown or rust, .

In order to solve such a problem, a temperature sensing unit for sensing temperature and humidity of a site to generate temperature data and humidity data, and transmitting temperature data and humidity data to the external main server 500 through wired or wireless communication, It is possible to further include a work environment sensing device (not shown) including a sensing portion.

At this time, the external main server 500 generates and stores or displays the wireless reliability data according to temperature and humidity.

In other words, it can monitor the temperature and humidity of the production site in real time and maintain a certain level of temperature and humidity, so that more precise work can be performed, accurate work time can be confirmed, .

FIG. 5 is a diagram showing a smart factory device of the smart factory system according to the first embodiment of the present invention.

5, the smart factory device 100 of the smart factory system according to the first embodiment of the present invention includes a main body 110, a sensor 120, a working time calculator 130, 140).

The main body 110 is composed of a 4-channel digital input port of 4 to 20 mA and can receive signals transmitted by devices connected to the input port.

The sensor unit 120 is connected to the main body 110 and is installed in production equipment for each process line, and generates a recognition signal including time according to each component. In order to collect data for measuring work time, it is necessary to automatically recognize a part using the sensor unit 120 and generate a recognition signal in real time.

Specifically, the sensor unit 120 may include a first sensor 122 and a second sensor 124.

The first sensor 122 is installed at one end of the production equipment for each process line in which the parts enter, recognizes the parts placed on the production equipment, and generates a first recognition signal including the operation start time. For example, the first sensor 122 may be installed at the beginning of the conveyor belt or at the entrance of the production equipment.

The second sensor 124 is installed at the other end of the production equipment for each process line in which the part advances, recognizes the parts approaching the other end of the production equipment, and generates a second recognition signal including the operation end time. For example, the second sensor 124 may be installed at the end of the conveyor belt or at the exit of the production equipment.

The first sensor 122 and the second sensor 124 may be various sensors capable of recognizing the components. In an embodiment of the present invention, the first sensor 122 and the second sensor 124, to which the proximity sensor is applied, 124) is used.

Since the start and end times of the process are automatically measured by the sensor unit 120, it is not necessary to provide a separate time measurement for recording, and it is possible to solve the troublesome task of measuring the operation time, It is possible to reduce the measurement time required for the measurement.

The working time calculating unit 130 is installed inside the main body 110 and generates working time information including the working time of the process calculated based on the recognition signal.

The communication unit 140 is installed inside the main body 110 and transmits work time information to the internal work group server through wired and wireless communication. For example, Bluetooth, Wi-Fi, Ethernet, etc. may be used for wireless communication, and RS-485 communication may be used for wired communication.

In this case, although not shown, the smart factory device according to the first embodiment of the present invention may further include an error determination unit, and the sensor unit may further include a third sensor and a fourth sensor.

The third sensor is formed in a different type from the first sensor and is installed at one end of the production equipment for each process line into which the parts enter, recognizes the parts placed on the production equipment, and generates a third recognition signal . For example, the third sensor may be installed at the same or similar position as the first sensor.

The fourth sensor is formed in a different type from the second sensor and is installed at the other end of the production equipment for each process line in which the parts advances. The fourth sensor recognizes a part approaching the other end of the production equipment, . For example, the fourth sensor may be installed at the same or similar position as the second sensor.

In this case, the third sensor and the fourth sensor are different from the first sensor and the second sensor. However, the method of calculating the working time using the third sensor and the fourth sensor includes the first sensor and the second sensor, Is used.

The error determination unit is installed inside the main body and compares and analyzes the working time information based on the first sensor and the second sensor with the comparison operation time information based on the third sensor and the fourth sensor to determine an error.

Accordingly, if the recognition signal is not generated by the first sensor and the second sensor and the recognition signal is generated by the third sensor and the fourth sensor, or vice versa, the missing recognition signal is complementary to each other It is possible to improve reliability and accuracy.

In addition, by comparing and analyzing the working time information and the comparison working time information, it is possible to identify a sensor having a small number of parts missing recognition signals, which is advantageous in that a sensor suitable for the characteristics of production equipment of each processing line can be identified.

In addition, although not shown, the smart factory apparatus may further include a signal matching unit, a numbering unit, and a camera unit.

The signal matching unit is installed inside the main body and, when receiving the first recognition signal and the second recognition signal from the first sensor and the second sensor, respectively, matches the first recognition signal and the second recognition signal for each part. The operation time calculating unit calculates the operation time based on the first recognition signal and the second recognition signal matched in the signal matching unit.

That is, when the signal matching unit detects the operation start time and the operation end time by matching the first recognition signal and the second recognition signal, the operation time calculation unit calculates the operation time based on the operation start time and the operation end time. For example, if the operation start time detected from the first recognition signal and the second recognition signal is 10:00 and the operation end time is 10:40, the operation time calculated by the operation time calculation unit is 40 minutes.

The operation time can be automatically calculated through the signal matching unit and the operation time calculating unit, which are automatically measured by the first sensor and the second sensor, so that convenience can be maximized.

The presence or absence of the number is provided inside the main body, and serial numbers are assigned to the parts recognized by the first sensor. It is possible to maximize the accuracy of the first recognition signal and the second recognition signal matching according to the serial number by giving the serial number to the parts through the presence of the number or the number of the parts inserted into each process line and the quantity of the produced products There is an advantage that it can be conveniently counted.

The camera unit is connected to the main body and is installed at a position adjacent to the production equipment, and photographs the parts in real time.

Here, when the signal matching unit does not receive the first recognition signal or the second recognition signal, the camera unit receives the serial number of the missing part of the first recognition signal or the second recognition signal, And the communication unit transmits the stored image to the external server.

Particularly, it is preferable that a plurality of camera units are provided between the first sensor and the second sensor and beside the second sensor, which completes the process. This is because the first recognition signal is missing, the second recognition signal is missing The component, the part in which both the first recognition signal and the second recognition signal are missing, can be more easily and accurately photographed.

For example, when the first recognition signal is not received, the signal matching unit transmits the serial number of the missing component to the camera unit, and the camera unit photographs the corresponding component missing the first recognition signal, And the stored image is transmitted to the external server through the communication unit. This is the same as the method of detecting a part in which the recognition signal is missing when the signal matching unit fails to receive the second recognition signal and when neither the first recognition signal nor the second recognition signal is received.

It is possible to maximize the accuracy and reliability of detection of a part in which the recognition signal is missing and to save the image of the part in which the recognition signal is missing so that the memory and process usage of the camera can be minimized.

Furthermore, the smart factory apparatus may further include a determination unit, a recovery unit, and a power output control unit.

The determination unit is installed inside the main body and determines whether the first sensor or the second sensor is in a normal operation state in conjunction with the signal matching unit.

The recovery unit is installed inside the main body. When the determination unit determines at least one of the first sensor and the second sensor to be in an abnormal operation state, the recovery unit generates a digital output signal for recovery.

Specifically, when the signal matching unit does not periodically receive the first recognition signal or the second recognition signal, the determination unit determines that the first sensor or the second sensor is in an abnormal operation state. The second sensor generates a digital output signal for rebooting the first sensor or the second sensor when at least one of the two sensors is determined to be in an abnormal operation state.

Further, the power output control section is connected to the first sensor and the second sensor to control power supply.

In the fourth embodiment of the present invention, rebooting refers to the operation of stopping and restarting the system in a state in which the computer is not powered off, and is executed when the system is stopped due to an error or the environment is changed.

A reset is a reset of a part of a device or an entire system to a predetermined state, and can be reset by turning the power off and on again.

When the first sensor or the second sensor is determined to be in an abnormal operation state after the reboot, the determining unit determines whether the first sensor or the second sensor is in an abnormal operation state after the output of the digital output signal. And transmits a reset signal through the power output control unit to turn on / off the first sensor or the second sensor.

The foregoing has outlined rather broadly the features and technical advantages of the present invention in order that the claims of the invention to be described below may be better understood. It will be understood by those skilled in the art that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive. The scope of the present invention is defined by the appended claims rather than the foregoing detailed description, and all changes or modifications derived from the appended claims and their equivalents should be construed as being included within the scope of the present invention.

100: Smart Factory Device
110:
120:
122: first sensor
124: second sensor
130: work time calculating unit
140:
300: Internal workgroup server
310: First collecting unit
320: second collecting unit
500: External main server
510: Reliability Calculator
520: work environment database

Claims (6)

Which is installed in production equipment for each process line, generates a recognition signal by recognizing the time during production of each part, and generates work time data for each process including the calculated work time information based on the recognition signal Factory equipment;
An internal task group server for communicating wired and wireless communication with the smart factory device to receive work time data for each process and collecting the work time data for each process into work group work time data according to a predetermined criterion; And
An external main server for receiving and storing the work group work time data collected from the internal work group server through the Internet network and calculating and monitoring the wireless reliability of the work group work time data;
/ RTI >
The smart factory device includes a main body unit, a sensor unit connected to the main body unit, installed in the production equipment for each process line, for generating a recognition signal including time in accordance with each component, A work time calculating unit for calculating work time information including a work time of a process calculated based on the recognition signal; and a work time calculating unit, installed in the main body, And a communication unit for transmitting to the server,
The sensor unit includes a first sensor that is installed at one end of production equipment for each process line in which the parts enter, recognizes the parts placed on the production equipment and generates a first recognition signal including a work start time, And a second sensor which is installed at the other end of the production equipment for each of the process lines to be advanced and which recognizes the parts approaching the other end of the production equipment and generates a second recognition signal including a work end time,
And a signal matching unit for matching the first recognition signal and the second recognition signal for each part when the first recognition signal and the second recognition signal are received from the first sensor and the second sensor, Wherein the working time calculating unit calculates a working time based on the first recognition signal and the second recognition signal matched in the signal matching unit,
And a camera unit installed in a position adjacent to the production equipment and connected to the main body unit and configured to photograph the parts in real time, Wherein when the signal matching unit does not receive the first recognition signal or the second recognition signal, the camera unit receives the serial number of the missing part of the first recognition signal or the second recognition signal, Wherein the communication unit transmits the stored image to the external main server,
A determination unit that is installed in the main body unit and determines whether the first sensor or the second sensor is in a normal operation state in cooperation with the signal matching unit; Further comprising a recovery unit for generating a digital output signal for recovery when at least one of the sensor and the second sensor is determined to be in an abnormal operation state,
Wherein the determination unit determines that the first sensor or the second sensor is in an abnormal operation state when the signal matching unit fails to periodically receive the first recognition signal or the second recognition signal, And generating a digital output signal for rebooting the first sensor or the second sensor when at least one of the first sensor and the second sensor is determined to be in an abnormal operation state,
Further comprising a power output control unit connected to the first sensor and the second sensor to control power supply,
Wherein the determination unit determines whether the first sensor or the second sensor is in an abnormal operation state after the output of the digital output signal and the recovery unit determines that the first sensor or the second sensor is in an abnormal operation state even after rebooting, And transmits a reset signal through the power output control unit to turn on / off the first sensor or the second sensor. The method according to claim 1,
The work time data for each process further includes unique identification information of each process,
The internal workgroup server
A first collecting unit for classifying the work time data for each process according to a wired and wireless communication method and grouping the work data according to unique identification information of the process to generate work group work time data;
And a second collecting unit for receiving the work group work time data from a plurality of the first collecting units and grouping them according to the unique identification information of each of the work groups stored in advance to generate factory work time data, system. The system according to claim 2, wherein the external main server
A reliability calculating unit that receives the factory work time data from the second collecting unit and calculates wireless reliability of the factory work time data based on a wired communication method;
And a work environment database for classifying the factory work time data by processes using unique identification information of the process and storing the classified work time data together with the wireless reliability. The method of claim 3,
A temperature sensing unit for sensing temperature and humidity of a scene to generate temperature data and humidity data, and transmitting the temperature data and humidity data to the external main server through wired or wireless communication, and a humidity sensing unit ; ≪ / RTI >
Wherein the external main server generates and stores or displays wireless reliability data according to temperature and humidity. delete delete
KR1020170000621A 2017-01-03 2017-01-03 Smart factory system KR101929742B1 (en)

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