KR20200010799A - Smart process management system for dental restoration factories in which process sequence is variable according to dental restorations - Google Patents

Abstract

Disclosed is a smart process management system for a dental prosthesis manufacturing site having a variable process order in accordance with dental prostheses. According to one embodiment of the present invention, the smart process management system comprises: an RFID tag provided in a dental operation model; an RFID reader installed in each process section of the manufacturing site; a server storing reader-transmitted data transmitted from the RFID reader; a data processing unit analyzing the reader-transmitted data; and a user terminal displaying an analysis result of the data processing unit.

Description

Smart process management system for dental restoration factories in which process sequence is variable according to dental restorations}

The present invention relates to a smart process management system for a dental prosthesis manufacturing site in which the process order is variable according to the dental prosthesis. It relates to a smart process management system that collects and utilizes process data.

Large companies in the world's major industries, such as semiconductor manufacturing, automobile manufacturing, smartphone manufacturing, and display manufacturing, are already leading the global market by building and operating a significant level of smart factories, but they are small and medium-sized enterprises that make up more than 90% of the total Midsize companies are unable to build their own systems to increase their efficiency.

Most existing smart factory solutions have been developed for high-volume factories in line production based on expensive equipment.

However, existing smart factory solutions that target the line production method are not suitable models for the multi-site small-scale manufacturing site, which produces many kinds of small orders.

As a representative example of the manufacturing site of the multi-product small-quantity production method, there is a dental prosthesis manufacturing site (typically a dental laboratory) that produces different types of dental prostheses on demand.

Smartization of the dental prosthesis manufacturing process is essential for improving the manufacturing environment and working environment and further maintaining product quality. However, in some cases, more than 1000 dental laboratories in Korea have a smart factory solution for collecting and analyzing process data. The process management is operated by the operator or the manager to check and manage the progress of the process.

According to such an analog process management, various problems such as unbalanced working time and work volume among workers, delayed delivery date, and bottleneck of the process may occur frequently.

The present invention has been made in consideration of the above-described problems of the prior art, and an object thereof is to provide a smart process management system that can be suitably applied to a dental prosthesis manufacturing site (typically, a dental laboratory) of a multi-product small quantity production method. have.

In order to achieve the above object, the present invention provides a smart process management system for a dental prosthesis manufacturing site, the process order is variable according to the dental prosthesis, RFID tag provided in the dental work model; An RFID reader installed in each process zone of the manufacturing site; A server for storing reader-transmitted data transmitted from the RFID reader; A data processor analyzing the reader-transmitted data; And a user terminal for displaying an analysis result of the data processing unit.

The data processor may track the process of the dental work model by analyzing the reader-transmitted data.

One RFID reader is provided in each process zone, and the RFID reader automatically reads an RFID tag while the dental work model is in the process zone, and the data processor is configured to read the RFID tag by the RFID reader. The process of the dental work model can be tracked based on the time read.

One RFID reader is provided in each process zone, and the RFID reader reads the RFID tag through a tagging operation of the operator, and the data processor is configured to read the teeth based on the time when the RFID tag is read by the tagging operation. You can track the process of the work model.

Each of the process zones includes a process arrival detection RFID reader and a process termination detection RFID reader, and the process arrival detection RFID reader and the process termination detection RFID reader each use the RFID tag through a tagging operation of an operator. The data processor may track a process of the dental work model based on a signal of the process arrival detection RFID reader and a reading signal of the process termination detection RFID reader.

Smart process management system may further include an IoT sensor module attached to the hardware installed in the process area.

The data processor determines whether to start or stop the operation of the mechanical equipment based on the module-transmitted data transmitted from the IoT sensor module to the server, and calculates the equipment operation time from the difference between the operation termination time and the operation start time. Can be calculated.

The data processor may evaluate the operating efficiency of the mechanical equipment based on the ratio of the operating hours of the equipment to the working time of the day.

The data processing unit calculates a process time required for a process in which the machine facility is installed based on the reader-transmitted data, and the data processing unit performs operating efficiency of the machine facility based on a ratio of the operating time of the facility to the process time required. Can be evaluated.

The data processor analyzes the reader-transmitted data to calculate a process arrival time when the dental work model arrives at a process in which the machine is installed, and the data processor is configured to calculate the machine from the difference between the start time and the process arrival time. The work waiting time of the facility is calculated, and the data processor may evaluate the efficiency of the process in which the mechanical equipment is installed based on the work waiting time.

The smart process management system may further include a power usage detector for detecting the power consumption of the manual electric tool used by the operator in the process area.

The data processor analyzes the power usage sensor-transmitted data transmitted from the power usage sensor to the server to determine whether the worker starts or stops the work, and the work of the worker from the difference between the work end time and the work start time. Can calculate time

The data processor may evaluate the work efficiency of the worker based on the ratio of the work time to the work time per day.

1 to 4 are diagrams for explaining an example of a smart process management system according to an embodiment of the present invention and a dental prosthesis manufacturing site (dental laboratory) to which the system is applicable.
1 and 2 are views showing examples of the process sequence according to the dental prosthesis in the dental prosthesis manufacturing site.
3 is a view showing the components of the smart process management system according to an embodiment of the present invention and the data transmission flow between the components.
4 is a view showing examples of a user terminal provided in the smart process management system of the present invention.

Hereinafter, with reference to the accompanying drawings will be described in more detail for the smart process management system according to an embodiment of the present invention.

1 to 4 are views for explaining an example of a smart process management system according to an embodiment of the present invention and a dental prosthesis manufacturing site (dental laboratory) to which the system is applicable, Figures 1 and 2 is a dental prosthesis manufacturing site In Figure 3 is a view showing an example of the process sequence according to the dental prosthesis, Figure 3 is a view showing the components of the smart process management system according to an embodiment of the present invention and the data transmission flow between the components, Figure 4 is a view of the present invention It is a figure which shows the example of the user terminal provided in a smart process management system.

1. Dental prosthesis manufacturing site to which the present invention is applied

The present invention is for smart automation of the process management of the dental prosthesis manufacturing site, the dental laboratory shown schematically in FIGS. 1 and 2 corresponds to a representative example of the dental prosthesis manufacturing site.

1 and 2, the dental laboratory generally uses a dental work model 10 for the production of dental prostheses.

The dental work model 10 is artificially made of the same tooth model, modeling the shape of the patient's teeth, and uses a separate dental work model 10 for each dental prosthesis during the dental prosthesis manufacturing process.

As shown in FIG. 1, the dental work model 10 is composed of a plurality of artificial teeth and a base part supporting the same, and gypsum is generally used as a material.

In the dental laboratory where the dental work model 10 is used, a dental prosthesis is selected by selecting an appropriate process sequence according to the dental situation, treatment direction, type of prosthesis, and the like.

For example, depending on the material, such as zirconia, titanium, gold, cobalt, or bridges, inlays, crowns, and dentures The process sequence is determined by the method of treatment, which is divided into abutments.

As such, unlike a mass production factory of a line production method, a small quantity production method of a variety of varieties using various process orders is typically applied in a dental laboratory.

Dental laboratories also include processes that use mechanical facilities, but manual processes have many characteristics.

The dental laboratory shown in FIGS. 1 and 2 is illustrated as including a total of six processes (steps A through F), where steps A, B and E are examples of manual processes, and steps C and D And Process F are examples of the hardware process in which the machine equipment is used.

In a manual process such as process A, process B, and process E, an operator (eg, a dental technician) performs a manual process on the dental work model 10. At this time, the worker performs the operation based on the expertise and accumulated experience, and most of them use a handpiece type electric tool.

In the mechanical equipment process such as process A, process B, and process E, the process is not carried out through the manual operation of the operator, but the process proceeds in an automated manner through the mechanical facilities 31 to 33 provided in the corresponding process. Representative machines used in dental laboratories include dental trimmers, 3D scanners, furnaces, milling machines, CAMs, photopolymerizers, vacuum burying machines, dental presses, casting machines, and the like.

In the example of FIG. 1, for the dental work model 10A, a process sequence combined in the order of Process A, Process D, Process B, and Process E is applied.

On the other hand, in the example of Figure 2, for the other dental work model (10B), the combined process sequence in the order of the process B, process C, process D, process F is applied.

As the dental laboratories apply various process sequences that are variously combined for each dental prosthesis, it is difficult to apply existing smart factory solutions for the mass production process of the line production method and due to the high cost even if they try to introduce the solutions. In most cases, the economy is reluctant to adopt.

2. Composition of Smart Process Management System

1 and 3, the smart process management system of the present invention that can be particularly suitably applied to the dental prosthesis manufacturing site, such as the above-described dental laboratory is an RFID tag 11, RFID reader (21 ~ 26), IoT sensor module 41 to 43, power usage detectors 51 to 53, a server 60, a data processor (not shown), and a user terminal 70.

The above detailed configurations included in the smart process management system of the present invention will be described as follows.

2-1. RFID Tag (11)

The RFID tag 11 is provided in the dental work model 10, and specifically, the RFID tag 11 is provided in the dental work model 10 in a manner of being attached to or embedded in the dental work model 10.

As described above, the dental work model 10 includes a plurality of artificial teeth and a base part supporting the same, and the RFID tag 11 is preferably provided at the base part.

The RFID tag 11 has identification number (ID) information, through which the dental work model 10 provided with the RFID tag 11 can be identified. In addition, other information such as patient information may be further input to the RFID tag 11.

2-2. RFID Reader (21 ~ 26)

The RFID readers 21 to 26 are configured to read the RFID tag 11 provided in the dental work model 10.

As shown in FIG. 1, RFID readers 21 to 26 are installed in respective process areas DL.

The RFID readers 21 to 26 may be to read the RFID tag 11 through a tagging operation of the operator, and when the dental work model 10 arrives at the process area DL, the RFID tag 11 may be automatically read. ) May be leading.

In case of RFID technology, tag information can be received from several cm up to 100 m according to the frequency range. By selecting the frequency range appropriately, manual reading method by tagging operation can be applied and automatic reading method without tagging operation can be applied. It is also possible.

In FIG. 1, one RFID reader 21 to 26 is provided in each process zone DL. Alternatively, two RFID readers 21 to 26 may be provided in each process zone DL.

When two RFID readers 21 to 26 are provided, for example, one may be a process arrival detection RFID reader and the other may be a process termination detection RFID reader.

For example, the operator can identify the process arrival of the dental work model 10 by tagging the dental work model 10 with the RFID reader for process arrival detection, and the operator detects the dental work model 10 for the process termination. The end of the process of the dental work model 10 can be identified by tagging the RFID reader.

Data read by the RFID readers 21 to 26 is transmitted to the server 60 by wireless or wired.

2-3. IoT  Sensor module (41 ~ 43)

The IoT sensor modules 41 to 43 are attached to the mechanical facilities 31 to 33 of the dental laboratory in an add-on manner to detect the state or operation of the mechanical facilities 31 to 33.

Referring to the example of FIG. 1, process C, process D, and process F correspond to a mechanical equipment process, and IoT sensor modules 41 to 43 are attached to hardware equipments 31 to 33 provided in each of these processes.

The IoT sensor modules 41 to 43 are not manufactured integrally with the hardware but are attached to the hardware by a detachable add-on method. IoT sensor modules 41 to 43 of the present invention are attached to the add-on method, compared to the case in which motion detection sensors are integrally manufactured in the mechanical equipment used in the mass production plant, the construction cost of the smart process management system There are far more economic advantages.

The IoT sensor modules 41 to 43 have at least one sensor necessary for data collection of the hardware. For example, the IoT sensor modules 41 to 43 may include one or more sensors such as an acceleration sensor, a gyroscope, a temperature sensor, a humidity sensor, a vibration sensor, and a sound sensor.

Data collected by the IoT sensor modules 41 to 43 are transmitted to the server 60 by wireless communication (eg, Wi-Fi communication).

2-4. Power usage detector (51 ~ 53)

The power usage detectors 51 to 53 detect power consumption of a manual electric tool used by an operator in the process area DL.

For example, the power usage detectors 51 to 53 may be in the form of a multi-tap installed in an electrical outlet. In this case, the power usage detectors 51 to 53 obtain power consumption data according to the operation of the manual electric tools used in connection thereto.

The data obtained by the power usage detectors 51 to 53 are transmitted to the server 60 by wireless communication (eg, Wi-Fi communication) and used to analyze the work efficiency of the worker who uses the electric tool.

A more detailed description thereof will be described later.

2-5. Server (60)

The server 60 stores data transmitted by wire or wirelessly from the above-described RFID readers 21 to 26, IoT sensor modules 41 to 43, and power usage sensors 51 to 53.

The server 60 has a database (DB) as a data storage unit for storing the data.

In addition, the server 60 may further store information related to the dental prosthesis to be manufactured. For example, the additional stored information may include patient information and order information collected by a dentist during an examination, process planning information of a dental prosthesis input by a manager, and the like.

The additional stored information is stored in match with the identification number (ID) of the RFID tag 11, so that when the ID is identified through the RFID tag 11 reading, the additional information matched thereto may be utilized.

2-6. Data processing unit Not shown )

The data processor (not shown) is a component that processes and analyzes data stored in the server 60.

The data processing unit includes computer program software for data processing and analysis. The data processing unit analyzes the data according to an algorithm preprogrammed in the software and provides the analysis result to the user terminal 70.

The data processor may be provided in one configuration of the server 60 or may be provided in one configuration of the user terminal 70.

In addition, the data processor may be provided in the server 60 and the user terminal 70, respectively.

2-7. User terminal 70

The user terminal 70 displays the data analysis result performed through the data processing so as to be visually visible to a user such as an operator or an administrator.

As shown in Fig. 5-A, the user terminal 70 includes an operator display device 70A. For example, the operator display device may be provided with information such as patient information, process sequence, current position of the dental work model, and the like.

As shown in Fig. 5- (b), the user terminal 70 includes an administrator display device 70B. For example, the manager may provide information such as patient information, process sequence, current position of the dental work model, work efficiency of the operator, operating efficiency of the mechanical equipment, and the like to the manager display device 70B.

The user terminal 70 may be provided with various types of electronic devices having a display screen.

For example, the user terminal 70 may be provided in various forms such as a smart phone, a laptop computer, a tablet computer.

3. Process tracking through RFID tag 11 and RFID readers 21 ~ 26

Hereinafter, process tracking through the smart process management system of the present invention will be described.

The above-described data processing unit (not shown) tracks the process of the dental work model 10 based on the reader-transmitted data transmitted from the RFID readers 21 to 26 to the server 60, and the tracking information is tracked by the user terminal ( To 70).

A user such as an operator or a manager may check the tracking information provided to the user terminal 70 and check the process history of the dental work model 10 and the process currently located.

When the RFID readers 21 to 26 are provided in each process zone DL, the data processing unit (not shown) is based on the time or time when the RFID tag 11 is read by the RFID readers 21 to 26. The process of the dental work model 10 can be tracked.

In this case, the RFID readers 21 to 26 may be readers that automatically read the RFID tag 11 while the dental work model 10 is in the process area DL. In this case, the RFID readers 21 to 26 continuously read the RFID tag 11 from the time when the dental work model 10 arrives at the process area DL to the time out of the area, and reads the reading data to the server 60. To transmit. Therefore, the server 60 records data of when and when the dental work model 10 was. For example, referring to FIG. 1, when the dental work model 10A arrives at the work zone DL of process A at 9:30 and leaves the process at 10 o'clock, the dental work model ( 10A) is recorded as being in process A from 9:30 to 10 o'clock. Based on this record information, the data processing unit can track the process of the dental work model 10.

In this case, the RFID readers 21 to 26 may be readers that read the RFID tag 11 through a tagging operation of an operator. In this case, the worker of the process manually sets the dental work model 10 to the RFID readers 21 to 26 at the time when the dental work model 10 arrives at the process and when the process for the dental work model 10 is completed. Should be tagged in a way. Accordingly, the process arrival time and the process completion time for the dental work model 10 are recorded in the server 60. Based on this record information, the data processing unit can track the process of the dental work model 10. In this case, alternatively, the method in which the dental work model 10 is tagged to the RFID readers 21 to 26 only once when the dental work model 10 arrives at the corresponding process may be applied. When this method is applied, the time when the dental work model 10 is tagged by the RFID readers 21 to 26 by the worker of the subsequent process may be recorded as the arrival time of the subsequent process and the end time of the immediately preceding process. .

Two RFID readers 21 to 26 are provided in each process zone DL, one of which may be used as a process arrival detection RFID reader, and the other may be used as a process termination detection RFID reader. In this case, the worker of the process tagging the dental work model 10 to the process arrival detection RFID reader at the time when the dental work model 10 arrives at the process, and the time when the work of the dental work model 10 is completed. The dental work model 10 should be tagged with the RFID reader for process completion detection. Accordingly, the process arrival time and the process completion time for the dental work model 10 are recorded in the server 60, and the data processor may track the process of the dental work model 10 based on the recording information.

4. IoT  Evaluation of mechanical equipment operating efficiency through sensor modules (41 ~ 43)

Hereinafter, the process tracking by the smart process management system of the present invention will be described.

On the basis of the data transmitted from the IoT sensor modules 41 to 43 attached to the machines 31 to 33 to the server 60, the data processing unit starts or stops running of the machines 31 to 33. By determining the operation start time, operation end time, equipment operation time of the mechanical equipment (31 ~ 33). In this case, the equipment start time can be calculated from the difference between the start time and the start time.

For example, referring to the example of FIG. 1, when the dental work model 10A arrives at the process D and is operated by the mechanical equipment 32 in the process, an IoT sensor module attached to the mechanical equipment 32 ( 42 detects the vibration information, sound information, temperature information, etc. of the mechanical equipment 32 during its operation and provides it to the server 60.

Since the information when the machine 32 is in operation shows a different pattern from the information when it is not in operation, the data processor may determine whether the machine 32 is in operation based on the information. Therefore, start time, end time and equipment start time can be calculated.

Based on the equipment uptime information thus obtained, the data processing unit may evaluate the operating efficiency of the mechanical equipment and provide the result to the user terminal 70. The evaluation result may typically be provided to the manager terminal 70B.

The first evaluation method is that the data processing unit evaluates the operating efficiency of the machine based on the ratio of the plant uptime to the total work time per day.

In this case, the total working time per day means the total working time during the day of the dental laboratory, which is a data that can be calculated by manual input of an administrator and does not require a separate sensing means. The data processing unit evaluates that the operating efficiency of a particular machine is low when the ratio of the operating hours of a specific machine to the total working hours is low, and vice versa, that the operating efficiency of the machine is high. The indicator may be provided to the manager terminal 70B.

The second evaluation method is to evaluate the operating efficiency of the mechanical equipment based on the process uptime information together with the equipment uptime information.

In this case, the process time information may be obtained through the above-described RFID tag 11 reading. As described above, the data processing unit may obtain the process arrival time and the process completion time of the dental work model 10 based on the reader-transmitted data read through the RFID readers 21 to 26 and transmitted to the server 60. The process time can be calculated from the difference between the time of completion of the process and the time of arrival. When the ratio of the equipment uptime of a specific machine to the process time is low, the data processing unit evaluates that the operating efficiency of the machine is low, and vice versa, it evaluates that the operating efficiency of the machine is high. Can be provided to the manager terminal 70B.

The third evaluation method is to evaluate the operating efficiency of the mechanical equipment based on the information on the working time together with the information on the equipment uptime.

As described above, the data processing unit may obtain the process arrival time of the dental work model 10 based on the reader-transmitted data read through the RFID readers 21 to 26 and transmitted to the server 60. In addition, the data processing unit may calculate the working waiting time of the processing equipment from the difference between the start time and the process arrival time of the mechanical equipment. The data processing unit evaluates that the operation efficiency of the equipment is low when the ratio of the working waiting time to the operation time of the specific equipment is high, and on the contrary, the operation efficiency of the equipment is high. Can be provided to the manager terminal 70B.

5. Power use detectors (51 ~ 53)  Evaluation of work efficiency through

Hereinafter will be described for the evaluation of the work efficiency for the manual process through the power usage sensors 51 to 53 performed in the smart process management system of the present invention.

As described above, the power usage detectors 51 to 53 detect power consumption of the manual electric tool used by the worker in the process area DL, and power according to the operation of the manual electric tool used in connection. The usage data is obtained and the data is transmitted to the server 60 through wireless communication (eg, Wi-Fi communication).

The data processor determines whether the worker starts or stops the job based on the power usage sensor-transmitted data transmitted to the server 60, and calculates the worker's work time from the difference between the job end time and the job start time.

For example, referring to FIG. 1, after the dental work model 10A arrives at process B and the electric tool is used by the worker of the process, the electric tool is detected from the connected power usage detector 52 and the server. The power usage sensing data sent to (60) shows a much higher value than during non-use of electrical tools. Therefore, the data processor may calculate the time when the operator performs the work using the electric tool based on the power consumption detection data.

In addition, the data processor may evaluate the work efficiency of the worker based on the ratio of the work time of the worker calculated as described above to the work time of the day, and provide the same to the user terminal 70. In this case, the user terminal 70 receiving the evaluation result is typically the manager display device 70B.

10: dental work model
11: RFID Tag
21 ~ 26: RFID Reader
31 ~ 33: Machinery
41 ~ 43: IoT Sensor Module
51 ~ 53: Power usage detector
60: server
70: user terminal
70A: Worker Display Device
70B: Manager Display Device

Claims (13)

As a smart process management system for the dental prosthesis manufacturing site where the process order varies according to the dental prosthesis,
RFID tag provided in the dental operation model;
An RFID reader installed in each process zone of the dental laboratory;
A server for storing reader-transmitted data transmitted from the RFID reader;
A data processor analyzing the reader-transmitted data; And
And a user terminal for displaying an analysis result of the data processing unit.
Smart process management system.
The method according to claim 1,
The data processing unit tracks the process of the dental work model based on the reader-transmitted data,
Smart process management system.
The method according to claim 2,
Each process zone is provided with one RFID reader,
The RFID reader automatically reads an RFID tag while the dental work model is in the process zone,
The data processing unit tracks the process of the dental work model based on the time that the RFID tag is read by the RFID reader,
Smart process management system.
The method according to claim 2,
Each process zone is provided with one RFID reader,
The RFID reader reads the RFID tag through a tagging operation of an operator,
The data processing unit tracks the process of the dental work model based on the time when the RFID tag is read by the tagging operation.
Smart process management system.
The method according to claim 2,
Each process zone is provided with a process arrival detection RFID reader and a process termination detection RFID reader,
The process arrival detection RFID reader and the process end detection RFID reader respectively read the RFID tag through a tagging operation of the operator,
The data processing unit tracks a process of the dental work model based on a reading signal of the process arrival detection RFID reader and a reading signal of the process termination detection RFID reader,
Smart process management system.
The method according to claim 2,
Further comprising an IoT sensor module attached to the mechanical equipment installed in the process area
Smart process management system.
The method according to claim 6,
The data processor determines whether to start or stop the operation of the mechanical equipment on the basis of the module-transmitted data transmitted from the IoT sensor module to the server. Calculating,
Smart process management system.
The method according to claim 7,
The data processing unit evaluates the operating efficiency of the mechanical equipment based on the ratio of the operating time of the equipment to the work time per day,
Smart process management system.
The method according to claim 7,
The data processor calculates a process time required for a process in which the mechanical equipment is installed based on the reader-transmitted data,
The data processing unit evaluates the operating efficiency of the mechanical equipment based on the ratio of the operating time of the equipment to the process time required,
Smart process management system.
The method according to claim 7,
The data processor analyzes the reader-transmitted data to calculate a process arrival time when the dental work model arrives at a process in which the mechanical equipment is installed.
The data processing unit calculates the working waiting time of the machine from the difference between the start time and the process arrival time,
The data processing unit to evaluate the efficiency of the process the machine is installed on the basis of the working wait time,
Smart process management system.
The method according to claim 2,
Further comprising a power usage detector for detecting the power consumption of the manual electric tool used by the operator in the process area
Smart process management system.
The method according to claim 11,
The data processor determines whether the worker starts or stops the work based on the power usage sensor-transmitted data transmitted from the power usage sensor to the server, and determines the worker's work from the difference between the work end time and the work start time. Calculating time
Smart process management system.
The method according to claim 12,
The data processing unit to evaluate the work efficiency of the worker based on the ratio of the work time to the work time per day,
Smart process management system.

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