KR20190041651A - System and method for managing work status of worker by recognition between sensor installed in machine and worker device - Google Patents

Abstract

According to the present invention, provided is a system for managing a worker operation status based on a sensor installed in a machine, which comprises: recognition sensors installed in each machine in a factory, recognizing a worker device which stays within a predetermined distance for a predetermined time or longer, and providing location information per time of the worker device to a server; and the server analyzing operation status information of a worker based on the location information per time of the worker and motion data of each machine, and providing the operation status information to an administrator terminal. The worker device, which is carried by each worker in the factory, performs wireless communications with the recognition sensors.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a system and method for managing a worker's work status by recognizing a sensor between a sensor installed in a machine and a worker apparatus,

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a system and method for managing the work status of a worker through recognition between a sensor installed in a machine and a worker apparatus.

With the development of various services and software due to the development of technology, the manufacturing industry has been stagnating for over 30 years. In addition, due to the influence of Chinese manufacturing, manufacturing in each country continues to face difficulties.

Six Sigma techniques have been established in 1986 to enhance the productivity of manufacturing plants, and quality management techniques have been developed since then. Nonetheless, small and medium-sized manufacturing companies still face difficulties in introducing quality management techniques due to real environmental problems.

Especially statistical techniques are essential for SQC (Statistical Quality Control) and SPC (Statistical Process Control) of 6 Sigma, but the data collection for analysis statistics is still performed by the operator's manual, and the accuracy is very low .

On the other hand, ICT convergence technology is emerging as a breakthrough in the manufacturing crisis, while China's supply surplus, financial uncertainty, and rising costs have weakened manufacturing competitiveness and the environment surrounding manufacturing has rapidly changed.

ICT convergence technology in a typical manufacturing sector is a smart factory. Smart Factory is a technological field that is the basis of the fourth industrial revolution and is a technology that can enhance competitiveness through productivity improvement of manufacturing companies.

There are various approaches to collecting data through IoT and Smart Sensors in the field of smart factory technology, but there is still no method of collecting data for analysis of man work performance.

Korean Patent Publication No. 10-2009-0040727 (published on Apr. 27, 2009)

SUMMARY OF THE INVENTION The present invention has been made to solve the above-described problems of the prior art, and it is an object of the present invention to provide a method of manufacturing a semiconductor device that can be applied to all six major manufacturing industries (casting, It is a technology that can target the industrial field of the region.

The present invention targets all manufacturing companies that require labor quality management, and particularly targets small, medium and small manufacturing companies.

The present invention can collect and analyze information on workers' movement or work management through an automated system, by mutual recognition between the sensor installed for each machine and the worker device (for example, smart tag) The purpose of this paper is to automate / automate manpower quality management, which had previously been carried out by a factory worker.

A sensor-based worker work status management system installed in a machine according to an embodiment of the present invention is installed in each machine in a factory and recognizes a worker device staying within a certain distance for a predetermined time or more, A recognition sensor for providing location information to a server; And the server analyzes the work status information of the workers based on the time-based location information and the operation data of each machine for each worker, and provides the analyzed information to the administrator terminal, wherein the worker apparatus And performs wireless communication with the recognition sensor.

According to another embodiment of the present invention, there is provided a method of managing a worker's work status based on a sensor installed in a machine, comprising: recognizing a worker apparatus in which a recognition sensor installed in each machine in a factory stays within a predetermined distance for a predetermined time; Providing, by the recognition sensor, location information of the worker device by time to a server; And analyzing the work status information of the worker based on the time-based position information and the operation data of each machine for each worker, and providing the analyzed work status information to the administrator terminal; Wherein the worker apparatus is a device carried by each worker in the factory and performs wireless communication with the recognition sensor.

According to another embodiment of the present invention, a sensor-based worker's work status management system installed on a machine receives position information of each worker's apparatus from a recognition sensor installed for each machine in the factory, And a server for analyzing the work status information of the worker based on the position information and the operation data of each machine, and providing the work status information to the administrator terminal, wherein the recognition sensor comprises a worker device staying within a predetermined distance from the recognition sensor And provides the position-specific position information to the server. The worker apparatus carries wireless communication with the recognition sensor as a device carried by each worker in the factory.

The present invention can collect and analyze information on workers' movement or work management through an automated system, by mutual recognition between the sensor installed for each machine and the worker device (for example, smart tag) By doing so, it is possible to automate / automate manpower quality management, which has already been carried out by the factory workers.

The present invention manages production, quality, and operation based on collecting and analyzing data on the basis of production activities of a manpower rather than a simple commute / work time management system, thereby increasing the factory operation rate / manpower increase and manufacturing logbook And Excel management can be minimized.

In particular, the present invention can greatly assist in the quick and accurate identification of causes and responsibilities for workers 'work efficiency management, workers' movement monitoring, machine errors, product errors, etc., thereby saving cost against labor costs, More accurate analysis and systematic production control can be achieved.

FIG. 1 is a conceptual diagram showing the state of arrangement of mechanical equipment in a factory and the work flow of workers.
2 is a schematic diagram of a system according to an embodiment of the present invention.
3 is a structural view of a sensor assembly attached to a machine according to an embodiment of the present invention.
4 is a block diagram showing the structure of a server according to an embodiment of the present invention in block form.
FIG. 5 is a flowchart illustrating a method for managing worker work status information according to an embodiment of the present invention.
6 is a flowchart illustrating a method for collecting operation data of a machine according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, which will be readily apparent to those skilled in the art. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Throughout the specification, when a part is referred to as being "connected" to another part, it includes not only "directly connected" but also "electrically connected" with another part in between . Also, when an element is referred to as " comprising ", it means that it can include other elements as well, without departing from the other elements unless specifically stated otherwise.

In this specification, the term " part " includes a unit realized by hardware, a unit realized by software, and a unit realized by using both. Further, one unit may be implemented using two or more hardware, or two or more units may be implemented by one hardware. On the other hand, 'to' is not limited to software or hardware, 'to' may be configured to be an addressable storage medium, and may be configured to play one or more processors. Thus, by way of example, 'parts' may refer to components such as software components, object-oriented software components, class components and task components, and processes, functions, , Subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables. The functions provided in the components and components may be further combined with a smaller number of components and components or further components and components. In addition, the components and components may be implemented to play back one or more CPUs in a device or a secure multimedia card.

The " user terminal " or " administrator terminal " referred to below may be implemented as a computer or a portable terminal capable of accessing a server or other terminal through a network. Here, the computer may be, for example, a laptop, a desktop, a laptop, a VR HMD (e.g., HTC VIVE, Oculus Rift, GearVR, DayDream, PSVR etc.) equipped with a web browser . ≪ / RTI > Here, the VR HMD can be used for PC (eg HTC VIVE, Oculus Rift, FOVE, Deepon, etc.), mobile (eg GearVR, DayDream, And stand alone models (e.g., Deepon, PICO, etc.) that are independently implemented. [0002] A portable terminal is a wireless communication device that is guaranteed to be portable and portable, for example, as well as a smart phone, a tablet PC, a wearable device, a Bluetooth (BLE), an NFC, an RFID, , An infrared ray, a WiFi, a LiFi, and the like. The term " network " refers to a connection structure capable of exchanging information between nodes such as terminals and servers. The network includes a local area network (LAN), a wide area network (WAN) (WWW: World Wide Web), wired / wireless data communication network, telephone network, wired / wireless television communication network and the like. Examples of wireless data communication networks include 3G, 4G, 5G, 3GPP, LTE, WIMAX, Wi-Fi, Bluetooth, infrared, Communications, Visible Light Communication (VLC), LiFi, and the like.

Fig. 1 is a schematic diagram showing a line of movement of workers in a factory, indicated by a dotted line. In a typical plant, workers do not work in one place. Even if the worker A uses the first machine 10 and the worker B uses the second machine 10 internally to make a decision to work with the second machine 10, have. Although each worker line is assigned to each production line, it depends on internal circumstances and work environment. Also, it is possible that a worker does not only stay in one place but work in another workspace such as an open room or a boiler room.

In such a case, there are many fluctuation factors in the cause of machine (10) error or product error, the work efficiency management for each worker, and the productivity measurement, and there is a limit to manage these fluctuation factors by hand.

2, the system according to the present invention includes a sensor assembly 100, a server 200, an administrator terminal 300, and an employee device 400. [

The sensor assembly 100 may be a set of sensors installed on the machine 10 to measure operation data of the machine 10. [ The sensor assembly 100 may include at least one measurement sensor 130 and a sensor controller 110 for collecting operation data measured by the measurement sensor 130.

At this time, the measurement sensor 130 or the sensor controller 110 included in the sensor assembly 100 may function as a " recognition sensor ". The recognition sensor referred to herein means a sensor for recognizing the worker apparatus 400. [

The recognition sensor is installed for each machine 10 in the factory and recognizes the worker device 400 staying within a predetermined distance d for a predetermined time or longer and transmits position information of each worker device 400 to the server 200 to provide. That is, the recognition sensor provides the worker status information to the server 200.

The worker device (400) is a device that each worker in the factory always possesses in the factory.

The server 200 analyzes the work status information of the workers based on the time-based position information for each worker and the operation data of each machine 10, and provides the analyzed information to the administrator terminal 300.

In this case, the manager can easily confirm the information of the employee's movement in the factory. Through the copper line information, the administrator can confirm whether the worker has performed the work with the proper copper wire, the worker has performed the work with the machine 10, and the like. Through this, it is possible to manage the work situation of the worker effectively from the viewpoint of the manager.

Here, the worker apparatus 400 performs wireless communication with the recognition sensor. The worker device 400 may be any one of a smart phone, an RFID device, an NFC device, a Bluetooth device, and a Wi-Fi device. The worker apparatus 400 may be a device that is usually carried by a worker while carrying it as a worker's personal name such as a mobile terminal or a smart phone. At this time, the worker apparatus 400 may be provided with an application for wireless communication with the recognition sensor. The worker device 400 may be a separate device that is always paid to carry when working at a factory. In this case, they are often provided in the form of a necklace in combination with a string, but this is not necessarily the case. The worker apparatus 400 can perform short-range wireless communication with the recognition sensor by various means such as RFID, NFC, Bluetooth, and Wi-Fi.

When the worker apparatus 400 is formed of a Bluetooth device, the worker apparatus 400 may have a lithium battery having a recognition distance of about 50m and a life of up to about 3 years. Also, it can be made very compact and have a light weight that the worker can wear on his neck through a cord or the like.

The sensor assembly 100 including the recognition sensor may be configured as shown in FIG.

The sensor assembly 100 is composed of a plurality of sensors. Specifically, the sensor assembly 100 includes a sensor controller 110, a communication module 120, a measurement sensor 130, and a connector 140.

The sensor controller 110 to the measurement sensor 130 may be physically independent of each other. That is, each of the sensors may be formed to have a similar or identical physical size in the form of a hexahedron, and it is very easy to replace the necessary modules. For example, when a failure occurs in any one of the sensor controller 110, the communication module 120, and the measurement sensor 130, or when the usage change is required, the problem can be easily solved by replacing the corresponding sensor.

Further, the sensor assembly 100 may further include a cradle. The cradle functions to support the sensor controller 110 and the communication module 120 together. The cradle is formed to have an area covering the area of the sensor controller 110 and the communication module 120. The cradle is formed in a border area to fix the sensor controller 110 and the communication module 120 so as not to deviate from the outside Function may be performed. At this time, the sensor controller 110 and the communication module 120 may be arranged in a stacked manner on a cradle.

Hereinafter, the function of each sensor will be described in detail.

The sensor controller 110 receives the operation data from the measurement sensor 130 and transfers the operation data to the communication module 120 so that the operation data is transmitted to the server 200 and collected. At this time, the sensor controller 110 is connected to at least one measurement sensor 130. If the measurement sensor 130 is replaced with another type of measurement sensor 130 through the replacement or addition of the measurement sensor 130, the sensor controller 110 may detect the operation of the currently connected measurement sensor 130 Data can be received and recognized.

For example, the sensor controller 110 may be connected to various sensors such as a temperature sensor, a pressure sensor, a humidity sensor, a current / voltage sensor, and a power sensor. When the firmware is installed in the server 200, the sensor controller 110 simply transmits the electric signal value of the measurement sensor 130 (i.e., the A / D signal value: analog-to-digital converted signal) The sensor controller 110 transmits the firmware to all the sensors installed in the sensor controller 110. Even if the sensors are not compatible with different devices, The signal of the sensor can be recognized.

The sensor controller 110 converts the operation data received from the measurement sensor 130 into a standardized digital signal and transmits the digital signal to the communication module 120. For example, signals transmitted from the temperature sensor and the pressure sensor to the sensor controller 110 may be electrical signals of different formats. If the information is directly transmitted to the server 200, the server 200 may not know exactly what information it contains. For this, the sensor controller 110 may convert an analog signal or a digital signal into a standardized digital signal, and convert the analog signal or the digital signal into a form recognizable by the server 200.

In addition, the sensor controller 110 may perform short-range wireless communication in order to recognize the worker device 400.

The communication module 120 transfers information between the sensor controller 110 and the server 200 or the user terminal 300. That is, the operation data measured by the sensor controller 110 is transmitted to the server 200, and the information transmitted from the server 200 to the sensor controller 110 is received and transmitted to the sensor controller 110.

The communication module 120 may be a wireless communication module 120, but is not limited thereto, and may be a wired communication module 120. Also, the communication module 120 may be implemented to perform various communications such as 3G, 4G, WIFI, Bluetooth, Zigbee, and the like.

The measurement sensor 130 is a sensor for measuring operation data of the machine 10. [ The measurement sensor 130 may be a sensor for measuring operation data of the machine 10, but it is not limited thereto and may be a sensor for measuring information on the state of the factory or the operation status. For example, the measurement sensor 130 may be a sensor that measures one of temperature, pressure, humidity, voltage, power, and vibration. This is merely an example, and may include sensors for measuring various other operational data. In addition, the measurement sensor 130 may be a sensor for recognizing the worker apparatus 400. [

Hereinafter, the operation of the recognition sensor and the server 200 will be described in detail with reference to FIG. 4 and FIG.

First, the recognition sensor (i.e., any one of the measurement sensors 130 or the sensor controller 110 included in the sensor assembly 100) recognizes the worker apparatus 400 staying within a certain distance for a predetermined time or longer S210).

Specifically, the recognition sensor periodically transmits a search signal propagated from the recognition sensor to a certain distance. The propagation distance of the search signal refers to a range in which the recognition sensor can recognize the worker device 400 and may be about 50 m when the low power Bluetooth technology is used. The recognition sensor can receive an acknowledgment (ACK) signal from the worker apparatus 400 that has entered a range within a certain distance.

When the recognition sensor continuously receives the acknowledgment signal for a predetermined period of time, the worker apparatus 400 may request the worker identification information to recognize the worker apparatus 400.

The worker identification information includes employee specific information (e.g., employee name, address, ID, nickname, etc.) and employee device 400 specific information (e.g., device unique number of worker device 400, (E.g., a unique character string stored in the URL). The worker identification information is stored for each worker apparatus 400.

The recognition sensor receives the worker identification information from the worker apparatus 400 (S220) and transmits it to the server 200 (S230).

In addition, the worker apparatus 400 may record the identification information of the recognition sensor in response to a request signal from the recognition sensor. The information collected by the recognition sensor is information to be transmitted to the manager. The information to be recorded in the worker apparatus 400 may be information for providing to the worker. If an error occurs in the specific machine 10, the manager may be asked to take responsibility based on the information transmitted by the recognition sensor to a worker. At this time, And the recorded time information may be information for revalidation. Alternatively, when an error occurs in the recognition sensor and a wrong worker is asked to take responsibility, the information recorded in the worker apparatus 400 may be grounds for refuting the worker. The information stored in the worker apparatus 400 may be the identification information of the recognition sensor by time.

Subsequently, the server 200 receiving the worker identification information performs authentication with respect to the worker.

Specifically, the worker apparatus 400 authentication unit 210 of the server 200 refers to the previously registered worker identification information database based on the worker identification information, and performs authentication. Worker identification information may have been previously stored in the database by the administrator. Accordingly, the server 200 can compare the information of the employee identification information stored in advance in the database with the information received from the recognition sensor, and determine whether to allow access to the machine 10 equipped with the recognition sensor.

In addition, the recognition sensor transmits recognition sensor identification information together with the worker identification information, and the server 200 may perform additional authentication on the availability of the worker based on the information. That is, the server 200 can identify an accessible area of the worker based on the worker identification information. For example, a production line worker is restricted from access to the security office, and an outside factory sales person may have limited access to spaces such as computer rooms or boiler rooms. Information on the accessible area for each worker may be stored in advance in the server 200. The server 200 checks the information on the accessible area of the worker based on the worker identification information received from the recognition sensor .

The server 200 can determine which area the recognition sensor is disposed based on the recognition sensor identification information and can perform additional authentication by determining whether the worker is located in the accessible area.

This authentication can be performed only once at the first time when the worker apparatus 400 approaches the recognition distance of the recognition sensor.

When authentication is completed, the server 200 transmits the authentication completion information to the recognition sensor (S250). Alternatively, when the server 200 determines that authentication is not possible, the server 200 may cause the recognition sensor to generate a warning sound or send a warning message to the administrator terminal 300.

The recognition sensor recognizes the copper wire of the worker apparatus 400 (S260), and periodically transmits the recognition information to the server 200 (S270).

The copper line information received from the recognition sensor by the worker activity status information collection unit 220 of the server 200 includes position information by time of the worker apparatus 400, information on whether the worker apparatus 400 is out of the recognition range, And information on the entry and departure times of the mobile terminal 400.

Then, the server 200 analyzes the work status information of the worker (S280).

 Specifically, based on the information received from the recognition sensor, the worker work status information analyzing unit 230 of the server 200 calculates the worker information of each worker, the total work time of each worker, (10) It is possible to analyze at least one of the worker who worked on the work and the work time.

For example, line-of-worker-specific line information may be provided in the form of a table of time and space, or may be provided in the form of a line that is a series of points where the worker device 400 is recognized on a map within the factory. Further, the time at which the worker apparatus 400 is recognized by the divided spaces on the map is indicated on the side of the line, so that the manager can easily check the time at a glance.

The work time during the total working hours can be composed of the sum of the times when the copper wire is recognized from the recognition sensor disposed in the work space (production line, boiler room, computer room, etc.). Of the total working hours, the non-working time is the total of the unrecognized times from the recognition sensors disposed in the work space plus the times recognized from the recognition sensors disposed in the rest room have.

Further, since the recognition sensors are arranged for each machine 10, information on the workers over the vicinity of the machine 10 can be checked for each machine 10, thereby analyzing the worker and the worker You may. For example, in the case of the P 1 machine 10, the employee A is recognized from 10:00 AM to 12:00 AM, the employee B is recognized from PM 1:00 to 6:00, and the workers A and B are respectively assigned to the P1 machine 10) for two hours and five hours.

The machine operation information collection unit 240 of the server 200 collects the operation data of the machine 10 from the sensor assembly 100 in real time and collects the operation data of the machine 10, You can also analyze whether there is an error. At this time, the machine operation information collecting unit 240 derives a pattern for the operation data collected for the entire time after the machine 10 is operated, compares the operation data collected thereafter with the pattern, And analyze whether the product is in error.

Referring to FIG. 6, the sensor assembly 100 starts sensing the connected factory machine (S430).

The sensor assembly 100 periodically senses the operation data of the machine (S440).

(S450), and the server 200 may collect operational status information for each machine from the server 200 (S460).

Then, the server 200 transmits the operational status information to the user terminal 300 (S470). As the operation status information displayed on the user terminal 300, the number of sensors attached to the machine for each line, the normal operation of the sensor, the location of the machine to which the sensor is attached, and the like may be provided.

On the other hand, the server 200 may predict a malfunction based on the machine learning (S480). By notifying the malfunction prediction, it is possible to allow the factory manager to cope with malfunction beforehand (S490).

Specifically, the server 200 can calculate a threshold value from the derived pattern. Then, the server 200 can detect the moment when the operation data continuously collected later exceeds the threshold value. At this time, the server 200 first provides the malfunction occurrence notification to the administrator terminal 300. Then, the server 200 can detect a time when the collected operation data becomes less than a threshold value, and the server 200 can provide a malfunction termination notification to the administrator terminal 300. In this process, whenever a malfunction occurs, the server 200 may store a data pattern of a measured value for a predetermined time before a malfunction occurs and derive a statistical value at a point of time when a malfunction is detected.

For example, data can be stored separately for 50 minutes before a malfunction occurs. Thereafter, when a second malfunction occurs, data for 50 minutes before the second malfunction occurs is stored. Also, when a third malfunction occurs, similarly, data for 50 minutes before the third malfunction occurs is stored. Through this process, accumulated data is formed, and when an average value of the accumulated data is obtained, an average data pattern of the measured value can be detected as indicated by a thick line.

That is, the server 200 collects the workers' copper line information from the recognition sensor, and collects the operation data of the machine from the sensor assembly 100, and combines them to determine whether there is a machine error and a product error, Location information can be referred to together. Accordingly, when the error occurs, the server 200 can identify the worker who has managed the work line, analyze the defect rate for each worker, or analyze the production capacity according to the worker.

For example, according to the result of operation data collection, when the production capacity in one production line corresponds to K, the productivity of each worker can be calculated by referring to the work time of workers who worked in the production line. In this case, the performance for each employee can be calculated with clear data. In addition, in the case of the defective rate, it may be calculated by identifying a worker when a mechanical error or a product error occurs and counting the number of times.

The information analyzed by the server may be provided to the administrator terminal according to the administrator UI (S290).

One embodiment of the present invention may also be embodied in the form of a recording medium including instructions executable by a computer, such as program modules, being executed by a computer. Computer readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. In addition, the computer readable medium may include both computer storage media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data.

While the methods and systems of the present invention have been described in connection with specific embodiments, some or all of those elements or operations may be implemented using a computer system having a general purpose hardware architecture.

It will be understood by those skilled in the art that the foregoing description of the present invention is for illustrative purposes only and that those of ordinary skill in the art can readily understand that various changes and modifications may be made without departing from the spirit or essential characteristics of the present invention. will be. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive. For example, each component described as a single entity may be distributed and implemented, and components described as being distributed may also be implemented in a combined form.

The scope of the present invention is defined by the appended claims rather than the detailed description and all changes or modifications derived from the meaning and scope of the claims and their equivalents are to be construed as being included within the scope of the present invention do.

10: Machine 100: Sensor assembly
200: server 300: administrator terminal
400: Worker device

Claims (16)

A sensor-based worker status management system installed on a machine,
A recognition sensor installed for each machine in the factory, recognizing a worker device staying within a predetermined distance for a predetermined time, and providing location information of the worker device by time to the server; And
And analyzing the work status information of the worker based on the time-based position information and the operation data of each machine for each worker, and providing the work status information to the administrator terminal,
Wherein the worker apparatus is a device carried by each worker in the factory and performs wireless communication with the recognition sensor. The method according to claim 1,
Wherein the worker device is one of a smart phone, an RFID device, an NFC device, a Bluetooth device, and a Wi-Fi device. The method according to claim 1,
Wherein the recognition sensor comprises:
(ACK) signal from a worker apparatus that has reached a range within the predetermined distance, and transmits the acknowledgment signal continuously for a predetermined period of time And transmits a signal requesting the worker identification information to the worker apparatus when the worker receives the worker identification information. The method according to claim 1,
Wherein the recognition sensor comprises:
And receives from the recognized worker device, worker identification information composed of worker specific information or worker device specific information. 5. The method of claim 4,
The worker apparatus comprises:
And transmits the worker identification information to the recognition sensor according to a request signal from the recognition sensor, and records the identification information of the recognition sensor. 5. The method of claim 4,
Wherein the recognition sensor transmits the worker identification information to the server,
Wherein the server performs authentication by referring to a previously registered worker identification information database based on the worker identification information. The method according to claim 6,
The recognition sensor transmits recognition sensor identification information together with the worker identification information,
Wherein the server identifies an accessible area of the worker based on the worker identification information and performs additional authentication by determining whether the worker is located in an accessible area based on the recognition sensor identification information, Based worker management system. 8. The method of claim 7,
Wherein the server is configured to cause the recognition sensor to generate a warning sound or to send a warning message to the administrator terminal when it is determined that the authentication can not be performed. The method according to claim 1,
The server comprises:
A sensor-based worker status management system installed in the machine, which receives information on the position information of the worker apparatus by time, information on whether or not the worker apparatus is out of the recognition range, and information on the entry and departure times of the worker apparatus from the recognition sensor . 10. The method of claim 9,
The server comprises:
Based on the information received from the recognition sensor, analyzing at least one of worker information and work time for each worker, information on work time and work time among all work hours for each worker, Sensor based worker status management system installed on a machine. 10. The method of claim 9,
The server comprises:
A sensor-based worker status management system installed on a machine, which collects the operation data of a machine from a separate sensor installed on the machine in real time, and analyzes the machine error and the product error produced by the machine. 12. The method of claim 11,
The server comprises:
Wherein a pattern is derived for operation data collected for a total period of time after the machine is activated and the mechanical error and the product error are analyzed by comparing the operation data collected thereafter with the pattern, Worker Management System for Workers in. 12. The method of claim 11,
The server comprises:
Wherein the control unit identifies the worker who has managed the work line at the time of occurrence of the error or analyzes the defect rate for each worker or the production capacity for each worker by referring to the positional information of the worker apparatus by the machine error and product error, Sensor - Based Worker Management System. 12. The method of claim 11,
Wherein the recognition sensor comprises:
A sensor-based worker status management system installed on a machine, the sensor being a sensor controller for collecting the operation data from a measurement sensor disposed on the machine, or a measurement sensor for recognizing the worker device and connected to the sensor controller. A sensor-based worker status management method installed on a machine,
Recognizing a worker apparatus in which a recognition sensor installed for each machine in a factory stays within a predetermined distance for a predetermined time or more;
Providing, by the recognition sensor, location information of the worker device by time to a server; And
Analyzing the work status information of the workers based on the time-based location information and the operation data of each machine for each worker, and providing the analyzed information to the administrator terminal; / RTI >
Wherein the worker apparatus is a device carried by each worker in the factory and performs wireless communication with the recognition sensor. A sensor-based worker status management system installed on a machine,
Receives position information of each worker from the recognition sensor installed for each machine in the factory, analyzes the work status information of the worker based on the time-based position information of each worker and the operation data of each machine, The server comprising:
Wherein the recognition sensor recognizes a worker device staying within a predetermined distance from the recognition sensor for a predetermined time or more and provides the position information per time to the server,
Wherein the worker apparatus is a device carried by each worker in the factory and performs wireless communication with the recognition sensor.

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