KR20210083687A - System for active monitoring of smart factory and method thereof - Google Patents

Abstract

The present invention relates to an active monitoring system of a smart factory and a method thereof. Specifically, the present invention relates to the active monitoring system of the smart factory and the method thereof wherein an IoT sensor pool formed of a plurality of IoT sensor modules in a smart factory is installed; and enables active monitoring of an operation of the smart factory according to a change in the process by variably setting parameters for each IoT sensor module composed of the IoT sensor pool according to the process of the smart factory, controlling the IoT sensor pool to operate adaptively according to the changes of the process, and collecting only the required sensing data according to the process of the smart factory. Therefore, the present invention is capable of having an effect of actively monitoring the operation of the smart factory.

Description

SYSTEM FOR ACTIVE MONITORING OF SMART FACTORY AND METHOD THEREOF

The present invention relates to an active monitoring system and method for a smart factory, and more particularly, to form an IoT sensor pool with a plurality of IoT sensor modules in the smart factory, and include in the IoT sensor pool according to the process of the smart factory. By variably setting parameters for each virtualized IoT sensor module in a state where each IoT sensor module is virtualized into a plurality of logical IoT sensor modules, and controlling it to operate with various configurations according to changes in the process, various The present invention relates to an active monitoring system for a smart factory and a method therefor that enable active monitoring of the operation of the configured and operated smart factory in real time.

Due to the recent rapid development of industrial technology and ICT technology (information and communication technology), by integrating ICT technology into the production process including designing, developing, and manufacturing the product, and automating the production process, the product The public's attention is focused on the smart factory to improve the productivity and quality of

In the smart factory, all facilities or devices constituting the entire process are connected by communication, so data between before and after work can be freely linked, and the entire process is organically managed to create an optimal production environment that can respond flexibly to consumer needs. There are advantages to building it.

In general, a smart factory includes a plurality of process lines (eg, conveyor belts) that move a specific object and a plurality of stations that perform a specific operation (eg, assembly, disassembly, movement, etc.) of a specific process. is implemented so that it can be performed automatically.

In addition, the smart factory is to diversify the process by changing the direction of the movement of goods in the process line, the structure of the plurality of stations, the operations performed in the plurality of stations, or adding or deleting a specific station. It is possible, and through this, there is an advantage that it is possible to improve the efficiency of a process for product production or to produce a product suitable for the purpose.

In such a smart factory in which the production process is automated, there is a problem in that defective products can be mass-produced because the process is automatically processed even when there is an error in each station or process line.

Therefore, it is very important to accurately monitor the entire process in order to increase the production by reducing the defective rate of the product.

In order to solve this problem, the conventional smart factory is implemented to monitor the process by installing a plurality of sensors including a camera and analyzing sensor data received from each sensor.

However, since the conventional smart factory simply performs passive monitoring using only sensor data received from a plurality of sensors, there is a problem in that accurate monitoring cannot be performed when there is a change in the process.

For example, even when an existing process is changed by activating a plurality of specific stations among the plurality of stations and deactivating a plurality of other specific stations, the conventional smart factory collects and analyzes sensor data from all sensors. Therefore, it takes a long time for analysis, and there is a problem in that monitoring cannot be accurately performed due to the collection of unnecessary sensor data for the process.

That is, since the conventional smart factory simply performs passive and passive monitoring, there is a problem in that it cannot actively cope with a change in the process.

Accordingly, in the present invention, a plurality of IoT sensor modules including a plurality of sensors are installed in process lines and stations of the smart factory, respectively, to form an IoT sensor pool, and according to the process of the smart factory, substantially necessary The IoT sensor module is virtualized into a plurality of logical IoT sensor modules so as to be composed of only sensors, and parameters of operating conditions for each sensor constituting each virtualized IoT sensor module are variably set, and according to the process, It is intended to propose a method for actively monitoring the operation of the smart factory configured and operated in various ways in real time.

Next, the prior art existing in the technical field of the present invention will be briefly described, and then the technical matters that the present invention intends to achieve differently from the prior art will be described.

First, Korea Patent No. 1902878 (2018.09.20.) relates to a machining center monitoring system for implementing a smart factory and a machining sensor monitoring method using the same, in a smart factory comprising a machining center for mold core processing, the machining By allocating a plurality of numerical control programs assigned numbers to the center, reading the number of the numerical control program currently working in the machining center and checking the work status, the process rate for the mold core machining in progress at each machining center It relates to a machining center monitoring system for implementing a smart factory enabling monitoring and a machining sensor monitoring method using the same.

That is, the prior art divides the machining process into a plurality of programs when machining the mold core, and by checking the number of the currently executing program, it is possible to monitor the process rate of the mold core machining in each machining center. will be.

In contrast, the present invention installs a plurality of IoT sensor modules having a plurality of sensors in a smart factory, creates a data structure for each IoT sensor module according to the process of the smart factory, respectively, and the generated data structure Virtualizing each IoT sensor module into a plurality of logical IoT sensor modules through It is clear that the prior art does not describe or suggest or imply the technical characteristics of the present invention as to be able to effectively and actively monitor the operation of the smart factory configured in various ways according to the process.

In addition, Korea Patent Publication No. 2018-0027176 (2018.03.14.) relates to an IoT-based smart factory management system, each of which installs a plurality of IoT sensors in the field facilities of the smart factory, and uses the installed plurality of IoT sensors. It relates to an IoT-based smart factory management system that collects and manages production site data collected through

The prior art simply describes the concept of collecting sensor data from a plurality of sensors, collecting and managing them, and provides a plurality of IoT sensor modules forming an IoT sensor pool in the smart factory. Virtualizing the IoT sensor module into a plurality of logical IoT sensor modules according to a process, and not generating a data structure for setting parameters for operating conditions of the virtualized IoT sensor module, The method for actively monitoring the operation of the smart factory by controlling the IoT sensor module to operate with the configuration of various sensors according to the process change of the smart factory is also not described at all, so the prior art and the present invention have a significant difference It is clear that there is

The present invention was created to solve the above problems, a plurality of IoT including a plurality of sensors in a smart factory including a plurality of process lines for transporting goods and a plurality of stations for performing specific tasks Active of a smart factory that forms an IoT sensor pool by installing a sensor module, collects sensing data related to the operation of the smart factory through the installed IoT sensor module, and monitors the operation of the smart factory in real time An object of the present invention is to provide a monitoring system and a method therefor.

In addition, the present invention virtualizes a plurality of IoT sensor modules included in the IoT sensor pool into a plurality of logical IoT sensor modules according to each process of the smart factory, and provides information on each sensor constituting the virtualized IoT sensor module. The purpose is to enable active monitoring of the operation of the smart factory according to the process change of the smart factory by setting the parameters of the operating conditions to collect only the sensing data necessary for each process of the smart factory. .

In this case, the virtualization and setting the parameters of the operating conditions are performed through a data structure including a configuration of a sensor for an IoT sensor module according to each process of the smart factory and a parameter of an operating condition for each sensor.

In addition, the present invention, by changing the direction of movement of the process line, activating and deactivating the station, or a combination thereof, to easily change the process of the smart factory according to the type of product to be produced or the purpose of the process, An object of the present invention is to provide a smart factory active monitoring system and method for configuring the smart factory in various ways.

The active monitoring system of a smart factory according to an embodiment of the present invention includes an IoT sensor module configuration unit that configures a plurality of IoT sensor modules including at least one sensor, and an IoT sensor module setting that sets the configured IoT sensor module. and an active monitoring unit for receiving and monitoring sensing data from a unit and the set IoT sensor module, wherein the plurality of IoT sensor modules are installed in a plurality of process lines and stations constituting the smart factory, and in the smart factory It is arranged in an array form to form an IoT sensor pool, and changes the configuration and settings of each IoT sensor module constituting the IoT sensor pool according to the process of the smart factory to actively monitor the operation of the smart factory. characterized.

In addition, the configuration of the IoT sensor module is to configure a set of sensors necessary for monitoring the process with a plurality of sensors provided in the IoT sensor module in a process including a process line and a station of the smart factory, and the IoT sensor module The setting of is to set parameters of operation conditions for a plurality of sensors constituting the IoT sensor module, and the configuration and the setting include a configuration of the IoT sensor module and a plurality of sensors constituting the IoT sensor module It is characterized in that it is reflected through the data structure including the parameters of the operating conditions for .

In addition, the data structure includes power on/off for each sensor of the IoT sensor module, sampling rate, sensing data collection period, resolution of the sensing data, threshold value of the sensing data, transmission period of the sensing data, or a combination thereof. characterized by including.

In addition, the IoT sensor module is configured and set to monitor the process of the smart factory by dividing it into time or space, or is configured and set to monitor by scheduling so that a collision does not occur even if the time and space overlap. .

In addition, the data structure is labeled for each process of the smart factory, and a part with a low frequency of configuration or setting change for a plurality of sensors is classified as a common part, and a part with a high frequency of change is classified as a local part. , The IoT sensor module is virtualized into a plurality of logical IoT sensor modules based on the data structure generated according to the process of the smart factory, and is configured as a set of at least one or more sensors required for each process of the smart factory. characterized by including.

In addition, the active monitoring unit visualizes and displays the received sensing data for each IoT sensor module through a graph, a figure, or a combination thereof, and compares the received sensing data with a preset threshold value for each sensor to make the smart It is characterized by monitoring the occurrence of abnormal conditions in the process of the factory.

In addition, the process of the smart factory changes the transfer direction of the process line according to the type of product or the purpose of the process, activates at least one specific station among the plurality of stations, or at least one of the plurality of stations It is characterized in that it is changed through deactivation of one or more specific stations or a combination thereof.

In addition, the active monitoring method of a smart factory according to an embodiment of the present invention includes an IoT sensor module configuration step of configuring a plurality of IoT sensor modules including at least one sensor, and IoT sensor module setting for setting the configured IoT sensor module and an active monitoring step of receiving and monitoring sensing data from the set IoT sensor module.

In addition, the active monitoring step visualizes and displays the received sensing data for each configured IoT sensor module through a graph, a figure, or a combination thereof, and compares the received sensing data with a preset threshold value for each sensor. It is characterized in that monitoring whether an abnormal state occurs in the process of the smart factory.

As described above, in the smart factory active monitoring system and method of the present invention, a plurality of IoT sensor modules having a plurality of sensors are installed in the process line and station of the smart factory to form an IoT sensor pool for the smart factory. And, by generating a data structure for each IoT sensor module according to the process of the smart factory, and controlling each IoT sensor module to operate according to the generated data structure, time according to the process change of the smart factory There is an effect of actively monitoring the operation of the smart factory by collecting only the sensing data necessary for the operation of the smart factory configured in various spatial ways.

At this time, the data structure is generated for each IoT sensor module according to the process, and the IoT sensor module is virtualized into a plurality of logical IoT sensor modules according to the generated data structure, and the virtualized IoT sensor module is It is to control the virtualized IoT sensor module to operate with various sensor configurations by variably setting parameters for

In addition, the present invention collects only necessary sensor data through the virtualized IoT sensor module according to the change of the process through the data structure, and efficiently monitors the process of the smart factory, thereby reducing the defective rate of the product and increasing the production of the product. It has the effect of enabling the production of high-quality products at the same time as increasing the

1 is a conceptual diagram illustrating an active monitoring system and method of a smart factory according to an embodiment of the present invention.
2 is a diagram illustrating a plurality of processes performed in a smart factory according to an embodiment of the present invention.
3 is a diagram illustrating a data structure for changing the configuration and settings of an IoT sensor module according to an embodiment of the present invention.
4 is a diagram illustrating a data structure for changing the configuration and settings of an IoT sensor module according to another embodiment of the present invention.
5 is a block diagram showing the configuration of an active monitoring device of a smart factory according to an embodiment of the present invention.
6 is a block diagram showing the configuration of an IoT sensor module according to an embodiment of the present invention.
7 is a flowchart illustrating a procedure for monitoring the operation of the smart factory through the active monitoring device of the smart factory according to an embodiment of the present invention.

Hereinafter, various embodiments of the present invention will be described in detail with reference to the accompanying drawings. Specific structural or functional descriptions of the embodiments disclosed in the specification or application of the present invention are only exemplified for the purpose of describing the embodiments according to the present invention, and unless otherwise defined, technical or scientific All terms used herein, including terms, have the same meanings as commonly understood by those of ordinary skill in the art to which the present invention pertains. Terms such as those defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related art, and should not be interpreted in an ideal or excessively formal meaning unless explicitly defined in the present specification. No.

1 is a conceptual diagram illustrating an active monitoring system and method of a smart factory according to an embodiment of the present invention.

As shown in FIG. 1 , the active monitoring system 10 of a smart factory according to an embodiment of the present invention includes a plurality of IoT sensor modules 200 installed in the smart factory, and the plurality of IoT sensor modules 200 . Including an active monitoring device 100 (hereinafter referred to as an active monitoring device) of a smart factory that monitors the operation of the smart factory for a process based on the sensing data collected through the manager terminal 300 and the database 400 is composed

The smart factory is provided with an automated facility for producing a product, which means a factory that produces the product, and receives a plurality of process lines for transporting goods such as parts of the product and the transported goods It is configured to include a plurality of stations that perform a specific operation, including assembly, disassembly, transport, or a combination thereof for the corresponding article.

The process line is for transporting goods to the station or transporting (shipping) finished products to the outside, and consists of wired transport means such as a conveyor belt, wireless transport means such as robots or drones, or these It consists of combinations.

In addition, the station includes an assembly operation of assembling at least one or more articles received through the processing line, a disassembly operation of disassembling the received article, and a transfer operation of transferring the received article to another station through the processing line or a combination thereof.

In addition, the IoT sensor module 200 is provided with at least one sensor and is installed in the plurality of process lines and the plurality of stations, respectively, to monitor whether the process of the smart factory is operating normally. The sensing data collected through the at least one sensor provided above is transmitted to the active monitoring device 100 .

At this time, the IoT sensor module 200 is arranged in an array form in the smart factory, thereby forming an IoT sensor pool. However, although the IoT sensor module 200 is preferably arranged in an array form, it will be natural that the IoT sensor module 200 may be arranged in various forms depending on the configuration of a plurality of process lines and a plurality of stations of the smart factory.

On the other hand, at least one sensor included in the IoT sensor module 200 is for sensing information related to the operation of the smart factory, and detects temperature, an image sensor including a visible light camera, an infrared camera, or a combination thereof. A temperature sensor for detecting vibration, a vibration sensor for detecting vibration, an article detecting sensor for detecting an article transferred through the transfer line or an article received and transferred to the station, an actuator provided in the transfer line or station (eg: It is composed of various sensors that sense various information about the process line and station of the smart factory, such as an operation state detection sensor and a current sensor for detecting the operation state of the motor, etc.).

That is, in the present invention, the type of the sensor is not limited thereto, and may be composed of various sensors for sensing various information on the process line and station of the smart factory.

In addition, the active monitoring system 100 configures the IoT sensor module 200 for each process of the smart factory in order to monitor the operation of the smart factory, and at least one or more configuring the IoT sensor module 200 . The function of actively monitoring the operation of the smart factory according to the change of the process by setting the parameters of the operating conditions for the sensor and collecting the sensing data according to each process through the configured IoT sensor module 200 carry out

That is, a plurality of IoT sensor modules 200 having at least one sensor are physically installed in the plurality of process lines and a plurality of stations to form an IoT sensor pool, and the active monitoring device 100 includes the By turning on only the sensors necessary to monitor each process according to each process and turning off unnecessary sensors, each IoT sensor module 200 is logically configured.

In addition, the active monitoring device 100 configures the IoT sensor module 200, and then sets parameters of operating conditions for at least one sensor constituting the IoT sensor module 200, so that the IoT sensor module ( 200), sensing data is collected from the at least one sensor according to the operating conditions, and the operation of the smart factory is actively monitored according to each process.

On the other hand, configuring the plurality of IoT sensor modules 200 and setting the parameters of the operating conditions for at least one or more sensors configuring the plurality of IoT sensor modules 200 are in each process of the smart factory. Accordingly, it is performed through a data structure including the configuration and parameters of the operating conditions, and the data structure will be described in detail with reference to FIG. 3 .

Here, configuring the IoT sensor module 200 includes virtualizing the actual physical IoT sensor module 200 into a plurality of logical IoT sensor modules configured with a set of sensors actually required for each process. to be.

For example, the actual physical IoT sensor module 200 is composed of an image sensor, a current sensor, a temperature sensor, a vibration sensor, a state detection sensor for an actuator, and an article detection sensor, and performs the first process of the smart factory. In order to monitor, sensing data collected through an image sensor, current sensor, and temperature sensor is required, and in order to monitor the second process of the smart factory, sensing data collected through an item detection sensor, a temperature sensor, and a vibration sensor are required. It is assumed that the active monitoring device 100 virtualizes the actual physical IoT sensor module 200 into an IoT sensor module consisting of an image sensor, a current sensor and a temperature sensor for the first process, and the actual By virtualizing the physical IoT sensor module 200 into an IoT sensor module consisting of an article detection sensor, a temperature sensor, and a vibration sensor for the second process, the actual physical IoT sensor module 200 is converted into two IoT sensor modules. virtualize

At this time, the virtualized IoT sensor module is labeled with a process number for each process of the smart factory, and when a specific process is performed, the active monitoring device 100 is the virtualized IoT sensor labeled with the process number of the corresponding process The monitoring is performed by controlling the module to collect sensing data for the corresponding process.

Meanwhile, when sensing data collected through all sensors constituting the IoT sensor module 200 is required in a specific process, virtualization of the IoT sensor module 200 is not performed.

In the case of virtualizing the IoT sensor module 200 in this way, there is substantially one specific IoT sensor module 200 , but from the standpoint of the active monitoring device 100 , a plurality of sensors configured only with sensors actually required for each process It is recognized as if the IoT sensor module exists.

Therefore, the active monitoring device 100 controls the configured IoT sensor module through configuring the IoT sensor module 200 so that only the sensing data required according to the process of the smart factory can be received. Accordingly, it becomes possible to effectively monitor the operation of the smart factory configured and operated in various ways in real time.

That is, the active monitoring device 100 virtualizes each of the physical IoT sensor modules 200 into a plurality of logical IoT sensor modules based on the data structure generated according to the process of the smart factory to create the smart factory. It consists of various sensors according to the process change of the smart factory, and sets the parameters of the operating conditions for each sensor constituting the virtualized IoT sensor module based on the data structure, and collects the sensing data required according to the process of the smart factory. By doing so, the operation of the smart factory can be monitored in real time.

The IoT sensor module 200 described below is a concept including the virtualized IoT sensor module as well as the actual physical IoT sensor module 200 .

In addition, each process may be changed or configured by dividing the plurality of specific process lines and the plurality of specific stations in time or space. Therefore, the active monitoring device 100 configures and sets the IoT sensor module 200 so that the process changing in the smart factory can be divided into time or space to be monitored, and at the same time, even if the time and space overlap The IoT sensor module 200 is configured and set to schedule and monitor so that a collision between the respective processes does not occur.

For example, when the first process of the smart factory is performed at a specific time period and the second process is performed at another specific time period, the IoT sensor module 200 is installed according to the first process and the second process. Sensing data collection of the IoT sensor module 200 according to the first process and the second process by setting parameters of operation conditions for at least one or more sensors constituting the configured IoT sensor module 200 These are scheduled not to overlap or collide with each other, and even when the third process and the fourth process are simultaneously performed by spatially dividing a plurality of process lines and a plurality of stations of the smart factory, the third process through the configuration and setting The sensing data collection of the IoT sensor module 200 for monitoring the process and the fourth process is scheduled so that it does not overlap or collide with each other.

That is, the active monitoring device 100 configures the IoT sensor module 200 and configures each IoT sensor module 200 using the data structure generated and stored for each process. By setting parameters of operating conditions for one or more sensors, by scheduling the operation of each IoT sensor module 200, and preventing the collision, the operation of the smart factory according to the change in the process is effectively and actively monitored. .

In addition, the active monitoring device 100 is provided by itself by visualizing the sensing data for each sensor received from each IoT sensor module 200 in a graph, figure, window, or a combination thereof for each IoT sensor module 200 . It is displayed on a display or provided to the manager terminal 300 so that it can be displayed on a display provided in the manager terminal 300 . Through this, it is possible to check the operation of the smart factory in real time.

In addition, the active monitoring device 100 compares the received sensing data for each sensor of the IoT sensor module 200 with a threshold value for each sensor according to the preset IoT sensor module 200, and the smart factory Monitor the occurrence of abnormal conditions in the process of

Thereafter, when an abnormal state occurs, a warning message notifying that the abnormal state has occurred is transmitted to the manager terminal 300 or by outputting the warning message to a display provided on its own, the administrator can detect the abnormal state. so that they can be identified and acted upon immediately.

In addition, the database 400 stores the generated data structure and performs a function of storing the sensing data received for each IoT sensor module 200 according to each process.

2 is a diagram illustrating a plurality of processes performed in a smart factory according to an embodiment of the present invention.

As shown in Figure 2, the process performed in the smart factory according to an embodiment of the present invention, a plurality of process lines constituting the smart factory according to the type of product or the purpose of the manager (ie, the purpose of the process) , may be configured as at least one or more based on a plurality of stations or a combination thereof.

That is, the manager changes the process, including the at least one specific process line and at least one specific station, according to the type or purpose of the product produced using the plurality of process lines and the plurality of stations. It is possible to configure at least one or more processes.

At this time, the manager changes the transfer direction of the process means through the active monitoring apparatus 100 of the present invention, activates at least one specific station among the plurality of stations, or at least one or more of the plurality of stations At least one process may be configured by changing the process by deactivating another specific station or performing a combination thereof.

In addition, each process configured above to maximize the efficiency of the smart factory is configured by dividing at least one process line and at least one station constituting each process by time or space, so that the configured at least one process is performed simultaneously It is scheduled so that collisions between processes including collisions of goods transported according to the respective processes, operations performed by the respective stations, or a combination thereof when performed or performed according to time do not occur.

Accordingly, when collecting sensing data from each IoT sensor module 200 according to each configured process, the active monitoring device 100 divides each process of the smart factory by time or space to monitor the IoT. The sensor module 200 is configured, and operation parameters for at least one or more sensors constituting each of the configured IoT sensor modules 200 are set.

At this time, the active monitoring apparatus 100 schedules the sensing data collected through the IoT sensor module 200 not to collide even if the time or space overlaps each process, and according to each process Each of the IoT sensor modules 200 is configured to monitor the operation of the smart factory, and operation parameters for at least one or more sensors constituting the IoT sensor module 200 are set.

On the other hand, configuring the IoT sensor module 200 according to the above process and setting the parameters of the operating conditions for at least one sensor constituting the IoT sensor module 200 includes the data structure generated for each process. It is performed through the same as described above. The data structure will be described in detail with reference to FIG. 3 .

As described with reference to FIG. 2 , the active monitoring apparatus 100 of the present invention may variously configure at least one or more processes of the smart factory according to the type of product or the purpose of the process, and changes in the process Accordingly, by changing the configuration and setting of each IoT sensor module 200, only the sensing data required for each process is collected, so that the operation of the smart factory can be actively monitored.

Hereinafter, a data structure for changing the configuration and settings of the IoT sensor module 200 will be described in detail.

3 is a diagram illustrating a data structure for changing the configuration and settings of an IoT sensor module according to an embodiment of the present invention.

As shown in FIG. 3 , a data structure for changing the configuration and settings of the IoT sensor module 200 according to an embodiment of the present invention is generated according to each process of the smart factory and stored in the database 400 . .

In addition, the data structure is generated for each IoT sensor module 200 installed in each process line and each station of the smart factory according to each process.

In addition, the data structure includes power on/off, sampling rate, sensing data collection period, resolution of the sensing data, a threshold value of the sensing data, or a combination thereof for at least one sensor of the IoT sensor module 200 . It includes parameters for operating conditions for each sensor, a transmission period for transmitting the sensing data collected through each sensor to the active monitoring device 100 , or a combination thereof.

In addition, the data structure is labeled with a process number (or serial number) indicating each process so that it can be known in which process the sensing data is collected, and the data structure generated for each IoT sensor module 200 to each IoT sensor module 200 .

Here, the power on/off of the at least one sensor is for collecting only sensing data necessary for each process, and means information for operating only the sensors necessary for collecting the sensing data.

In addition, the power on/off is used when configuring the IoT sensor module 200 in the active monitoring device 100, and unnecessary sensors are turned off based on the power on/off to turn off the IoT sensor module 200 ), and turn on at least one or more sensors necessary for collecting the sensing data to be included in the IoT sensor module 200 to configure the IoT sensor module 200 .

At this time, the active monitoring device 100 configures the IoT sensor module 200 by turning on at least one sensor necessary for each fixation of the smart factory based on power on/off for each sensor of the data structure. By doing so, it can be virtualized. That is, as described above, configuring the IoT sensor module 200 is a concept including the virtualization.

On the other hand, when a specific process line or a specific station is excluded from the process, power on/off for all sensors of the IoT sensor module 200 is set to off.

In addition, the sampling rate means a rate for collecting specific information from each sensor, and the sensing data collection period means a period for collecting the sensing data from each sensor.

In this case, the sensing data collection cycle is scheduled so that when each process of the smart factory is divided into time or space and monitored, collision of sensing data between the respective processes does not occur even if the time and space overlap.

In addition, the resolution of the sensing data refers to the number of bits of sensing data collected by each sensor, and the threshold value of the sensing data refers to a criterion for collecting the sensing data from each sensor.

For example, when the sensed data is an image, the number of bits of the sensed data is set to be high, and when the sensed data is a measured value such as a temperature value or a vibration value, the number of bits of the sensed data is set to be low.

As another example, when the sensor is a temperature sensor or a vibration sensor, the active monitoring system 100 sets the threshold value for the temperature sensor or vibration sensor through the data structure, and the set threshold value It is possible to collect only the temperature value or vibration value exceeding

In addition, the sensing data transmission period represents a parameter of an operating condition for the configured IoT sensor module 200, and the sensing data collected from at least one or more sensors constituting the corresponding IoT sensor module 200 is monitored by the active monitoring device. (100) means the transmission period. The sensing data transmission period may be set in real time or set to a time period (eg, 1 minute).

4 is a diagram illustrating a data structure for changing the configuration and settings of an IoT sensor module according to another embodiment of the present invention.

As shown in FIG. 4 , the data structure for changing the configuration and settings of each IoT sensor module 200 according to the process of the smart factory according to another embodiment of the present invention includes a common part and a local part. is composed by

That is, the active monitoring device 100 classifies the configuration or setting of at least one or more sensors included in the configured IoT sensor module 200 as a common part, or the same or common part is a common part. make up

For example, in the case of a parameter for an operating condition such as a sampling rate or a collection period of the sensed data, it is preferable to apply the same to each sensor to be monitored even if the process is changed, so the sampling rate or collection period A cycle can be divided into common parts and configured. The operation parameters classified as such are equally applied to all sensors.

In addition, the active monitoring device 100, for the at least one sensor included in the configured IoT sensor module 200, the frequency of the configuration or setting change is high, or the part to be set differently is classified as a local part, make up

For example, in the case of an operation parameter including power on/off, resolution, threshold, etc., it is preferable to be applied differently for the process or each sensor, so operation such as the power on/off, resolution, threshold, etc. For the parameters of the condition, it can be configured as a local part.

However, it is natural that various settings may be made according to the administrator configured by classifying the common part and the local part.

Meanwhile, although only the data structure for a specific IoT sensor module 200 is shown and described in FIG. 4 , the data structure is generated for each IoT sensor module 200 according to each process of the smart factory as described above.

5 is a block diagram showing the configuration of an active monitoring device of a smart factory according to an embodiment of the present invention.

As shown in Figure 5, the active monitoring apparatus 100 of the smart factory according to an embodiment of the present invention, the process configuration unit 110 configuring at least one process for the smart factory, the configured smart factory A data structure generator 120 that generates a data structure for configuring and setting the IoT sensor module 200 according to each process, and an IoT sensor module configuration that configures the IoT sensor module 200 according to the generated data structure Unit 130, the IoT sensor module setting unit 140 for setting the IoT sensor module 200 according to the generated data structure, and each IoT sensor module by controlling the configured and set IoT sensor module 200 A sensing data receiving unit 150 that receives sensing data from 200, an active monitoring unit 160 that monitors the operation of the smart factory based on the received sensing data for each IoT sensor module 200, and a monitoring result. It is configured to include a monitoring result providing unit 170 .

The process configuration unit 110 is for configuring a process including a plurality of process lines and a plurality of stations constituting the smart factory.

In this case, in the process, the production target selectively configures at least one process line and at least one station according to the type of product or the purpose of the process, and organically connects the configured stations through the configured process line, do.

That is, the manager changes the process by changing the transport direction for the article in the process line or by activating or deactivating at least one specific station among the plurality of stations to change the process according to the type of product or the purpose. It is possible to configure a plurality of processes for the smart factory. To this end, the siege configuration unit 110 is connected to the plurality of process lines and the plurality of stations by wire and wireless, and provides a user interface for configuring the process.

In addition, the process is preferably configured by the process configuration unit 110, but may be configured in advance, and each process may be performed by dividing time or space, and scheduling is performed so that a collision between the processes does not occur is as described above.

In addition, the data structure generating unit 120 performs a function of generating a data structure for configuring and setting the IoT sensor module 200 for each of the configured processes.

That is, the data structure is generated for each IoT sensor module 200 installed in each process line and each station of the smart factory according to the process.

In addition, the data structure includes power on/off for each sensor constituting the IoT sensor module 200, a sampling rate, a collection period for sensing data of each sensor, a threshold value of the sensing data, or a combination thereof. including a parameter of an operating condition for each sensor, a transmission period for transmitting the sensing data collected by each sensor to the active monitoring device 100 , or a combination thereof.

In addition, the data structure is labeled for each process of the configured smart factory, and for each sensor of the IoT sensor module 200, a part with a low frequency of configuration or setting change is classified as a common part, and a part with a high frequency of change is classified as a common part. As described above, can be configured by classifying into local parts.

In addition, the IoT sensor module configuration unit 130 performs a function of configuring the plurality of IoT sensor modules 200 installed in the smart factory to include at least one sensor.

At this time, the IoT sensor module configuration unit 130 is performed according to on/off for each sensor of the generated data structure indicating the configuration of the IoT sensor module 200 for each process, and the IoT sensor module In each process including at least one or more process lines and stations of the smart factory, the set of sensors required for monitoring for each process with a plurality of sensors provided in the IoT sensor module 200 is included in 200 . means to compose.

That is, the physical IoT sensor module 200 having a plurality of sensors is installed in each process line and each station, and the configuration of the IoT sensor module 200 is necessary for monitoring each process. This means that the IoT sensor module 200 is virtualized into a plurality of logical IoT sensor modules 200 according to the process by logically configuring a set of sensors.

In other words, configuring the IoT sensor module 200 means setting only at least one sensor required for each process to operate according to information indicating on/off for each sensor in the data structure.

In addition, the IoT sensor module setting unit 140 performs a function of setting the configured IoT sensor module 200 .

Here, the setting of the IoT sensor module 200 includes setting the operating conditions for each sensor of the configured IoT sensor module 200 according to the parameters of the operating conditions for each sensor of the data structure generated for each process. means that

At this time, the IoT sensor module setting unit 140 transmits the data structure generated for the process to be performed to each IoT sensor module 200, and in each IoT sensor module 200, each data By reflecting the parameters for the operating conditions of each sensor in the structure to the respective sensors, the operating conditions for each sensor are set.

At this time, the IoT sensor module 200 is configured and set to monitor the process by dividing it into time or space according to each process of the smart factory through the data structure, and even if the time and space overlap, each process It is as described above that it is configured and set to enable monitoring by scheduling so that a collision does not occur.

In addition, the sensing data receiver 150 controls a plurality of IoT sensor modules 200 configured and set according to each process to receive sensing data collected according to the process to be performed.

The control provides the generated data structure to each IoT sensor module 200, and sets parameters of operating conditions for each sensor of the configured IoT sensor module 200 according to the provided data structure. , is performed by operating according to the parameters of the set operating conditions.

On the other hand, the sensing data receiving unit 150, when a specific process is performed in the smart factory in a state in which each of the generated data structures is provided in advance to each IoT sensor module 200 and shared, the corresponding process By providing a process number (that is, a process number labeled in the data structure) for By doing so, it is possible to control the IoT sensor module 200 to operate.

The sensing data is collected through at least one or more respective sensors set for each process through the data structure, and the sensing data collected through each sensor in the IoT sensor module 200 composed of the respective sensors and the corresponding IoT sensor The location information of the module 200 is collected and transmitted to the sensing data receiver 140 according to the transmission period of the data structure.

In addition, the active monitoring unit 160 performs a function of monitoring whether an abnormal state occurs in the smart factory based on the received plurality of sensing data.

Whether the abnormal state occurs is performed by comparing each sensing data received from each IoT sensor module 200 with a threshold value for each sensor set in advance.

For example, if the specific sensing data is a temperature value transmitted from the IoT sensor module 200 at a specific location, when the corresponding temperature value exceeds a preset threshold value, the active monitoring device 100 may It is determined that the above abnormal state has occurred.

However, the threshold value is set differently for each sensor, and is set to determine that an abnormal state has occurred when the threshold value is exceeded according to the type of the sensing data, or when the threshold value is less than the threshold value, the abnormal state is set to be determined to have occurred.

In addition, the active monitoring unit 160 visualizes and displays the received sensing data for each IoT sensor module 200 in a graph, figure, window, or a combination thereof, so that the manager can monitor the operation of the smart factory in real time. make it possible to check

At this time, the active monitoring device 100 transmits the sensing data visualized for each IoT sensor module 200 or displayed through at least one display connected to the active monitoring device 100 to the manager terminal 300 . Thus, to be displayed in the manager terminal (300).

As described above, the active monitoring device 100 uses a data structure generated for each process of the smart factory, and a sensor for each IoT sensor module 200 that forms an IoT sensor pool of the smart factory. By actively changing the configuration of and operating conditions for each sensor according to the configuration of the smart factory (that is, for each process), the operation of the smart factory can be actively monitored according to the change in the process for the smart factory. let it be

6 is a block diagram showing the configuration of an IoT sensor module according to an embodiment of the present invention.

As shown in FIG. 6 , the IoT sensor module 200 according to an embodiment of the present invention includes at least one sensor 210 for sensing various information related to the operation of the smart factory, and the active monitoring device 100 . ) from the data structure receiving unit 220 for receiving the data structure for setting the IoT sensor module 200 according to the process of the smart factory, and setting the parameters of the operating conditions for each sensor according to the received data structure A sensor setting unit 230 , a sensing data collection unit 240 that collects sensing data through each sensor for which the parameter is set, and a sensing data transmission unit that transmits the collected sensing data to the active monitoring device 100 . 250 is included.

The IoT sensor module 200 is installed in each process line and each station of the smart factory, respectively, as described above.

In addition, the IoT sensor module 200 is configured as a set of sensors required for each process according to on/off information for each sensor of the data structure generated according to each process in the active monitoring device 100 as described above. like a bar

In addition, the sensor 210 is composed of various sensors such as an image sensor, a temperature sensor, a vibration sensor, a current sensor, a state detection sensor, an article detection sensor, etc., and may be configured differently for each IoT sensor module 200 . .

In addition, the data structure receiving unit 220 performs a function of receiving a data structure for the process of the smart factory to be currently performed from the active monitoring apparatus 100 .

In addition, the sensor setting unit 230 performs a function of setting the parameters of the operating conditions for each sensor by reflecting the parameters for the operating conditions for each sensor included in the received data structure to the respective sensors. do.

However, the data structure is received in advance for each process and stored in the memory (not shown) of the IoT sensor module 200, while the process for the process to be performed currently from the active monitoring device 100 As described above, by receiving information (that is, the process number labeled in the data structure according to the process), parameters for the operating conditions of the sensor can be set according to the data structure according to the process information.

In addition, the sensing data collection unit 240 performs a function of collecting sensing data from each sensor for which the parameter of the operating condition is set.

In addition, the sensing data transmitter 250 collects each of the collected sensing data together with the location information of the corresponding IoT sensor module 200 and transmits the collected data to the active monitoring device 100 .

In this case, the transmission is transmitted according to the sensing data transmission period included in the data structure. The transmission period is set in real time or a time period (eg, 1 minute).

7 is a flowchart illustrating a procedure for monitoring the operation of the smart factory through the active monitoring device of the smart factory according to an embodiment of the present invention.

As shown in Fig. 7, the procedure for monitoring the operation of the smart factory through the active monitoring device 100 of the smart factory according to an embodiment of the present invention is first, the active monitoring device 100, the smart factory A data structure generation step of generating a data structure for configuration and setting of the plurality of IoT sensor modules 200 is performed for each process to be configured (S110).

The data structure is for configuring the IoT sensor module 200 for each process, and for setting the configured IoT sensor module 200. Since the description has been made with reference to FIGS. 3 to 5, no more A detailed description will be omitted.

Next, when a specific process is performed in the smart factory (S120), the active monitoring device 100 refers to the data structure generated according to the process, and the IoT configuring each IoT sensor module 200 A sensor module configuration step is performed (S120).

In the IoT sensor module configuration step, only sensors necessary for the process are selected from among a plurality of sensors provided in the IoT sensor module 200 according to information indicating on/off for each sensor of the data structure generated according to the process. By turning it on, the IoT sensor module 200 is configured.

Next, the active monitoring apparatus 100 performs an IoT sensor module setting step of performing setting for each configured IoT sensor module with reference to the data structure generated according to the process (S140).

Here, the setting of the IoT sensor module means setting the parameters of the operating conditions for each sensor of the configured IoT sensor module 200 as described above.

Next, the active monitoring device 100 performs a sensing data receiving step of receiving sensing data from each of the configured and set IoT sensor modules 200 ( S150 ).

The received sensing data includes location information of each IoT sensor module 200, and the IoT sensor module 200 collects sensing data through each sensor that sets the parameters of the operating conditions, The collected sensing data is collected together with the location information and transmitted to the active monitoring device 100 .

Next, the active monitoring apparatus 100 performs an active monitoring step of monitoring the operation of the smart factory based on the received sensing data (S160).

The active monitoring step visualizes and displays each of the received sensing data for each IoT sensor module 200, so that the manager or monitoring agent can check the operation of the smart factory in real time.

In addition, the active monitoring step compares the respective sensing data with the threshold value set for each sensor, and monitors whether an abnormal state has occurred in the process of the smart factory, and it is determined that the abnormal state has occurred In this case, the monitoring result including the location information where the abnormal state has occurred is provided to the manager terminal, so that the occurrence of the abnormal state can be confirmed and measures can be taken immediately.

Thereafter, when the process is completed (S170) and the operation of the smart factory is terminated, the monitoring is terminated, and when the process is not completed, the active monitoring apparatus 100 performs the steps of S150 to S160. Repeat the process.

As described above, the active monitoring system and method of a smart factory according to an embodiment of the present invention provides an IoT sensor module installed in a process line and a station of the smart factory, respectively, according to each process of the smart factory. By configuring and setting variably, only sensing data necessary for each process of the smart factory is collected, and the operation of the smart factory according to the process change of the smart factory can be actively and effectively monitored.

In the above, the preferred embodiment according to the present invention has been mainly described above, but the technical spirit of the present invention is not limited thereto, and each component of the present invention is changed or modified within the technical scope of the present invention to achieve the same purpose and effect. it could be

In addition, although preferred embodiments of the present invention have been illustrated and described above, the present invention is not limited to the specific embodiments described above, and in the technical field to which the present invention pertains without departing from the gist of the present invention as claimed in the claims. Various modifications may be made by those of ordinary skill in the art, and these modifications should not be individually understood from the technical spirit or perspective of the present invention.

10: Active Monitoring System of Smart Factory
100: active monitoring device of the smart factory 110: process configuration part
120: data structure generation unit 130: IoT sensor module configuration unit
140: IoT sensor module setting unit 150: sensing data receiving unit
160: active monitoring unit 170: monitoring result providing unit
200: IoT sensor module 300: manager terminal
400: database

Claims (10)

an IoT sensor module configuration unit that configures a plurality of IoT sensor modules including at least one sensor;
an IoT sensor module setting unit configured to set the configured IoT sensor module; and
and an active monitoring unit for receiving and monitoring sensing data from the set IoT sensor module;
The plurality of IoT sensor modules are installed in a plurality of process lines and stations constituting the smart factory, and are arranged in an array form in the smart factory to form an IoT sensor pool, and according to the process of the smart factory, the IoT sensor pool Active monitoring system of a smart factory, characterized in that by changing the configuration and settings of each IoT sensor module constituting the smart factory to actively monitor the operation of the smart factory. The method according to claim 1,
The configuration of the IoT sensor module is,
In a process including a process line and a station of the smart factory, a plurality of sensors provided in the IoT sensor module constitute a set of sensors necessary for monitoring the process,
The setting of the IoT sensor module is,
Setting parameters of operating conditions for a plurality of sensors constituting the IoT sensor module,
Active monitoring of a smart factory, characterized in that the configuration and the setting are reflected through a data structure including the configuration of the IoT sensor module and parameters of operating conditions for a plurality of sensors configuring the IoT sensor module system. 3. The method according to claim 2,
The data structure is
Power on/off for each sensor of the IoT sensor module, sampling rate, sensing data collection period, resolution of the sensing data, threshold value of the sensing data, transmission period of the sensing data, or a combination thereof Active monitoring system of smart factory. The method according to claim 1,
The IoT sensor module,
configured and set to monitor the process of the smart factory by dividing it into time or space, or
The active monitoring system of a smart factory, characterized in that it is configured and set to monitor by scheduling so that a collision does not occur even if the time and space overlap. 4. The method according to claim 3,
The data structure is labeled with a process number for each process of the smart factory, and a part with a low frequency of configuration or setting change for a plurality of sensors is classified as a common part, and a part with a high frequency of change is classified as a local part. is composed,
The IoT sensor module is virtualized into a plurality of logical IoT sensor modules based on the data structure generated according to the process of the smart factory, and further comprising a set of at least one or more sensors required for each process of the smart factory Smart factory active monitoring system, characterized in that. The method according to claim 1,
The active monitoring unit,
The received sensing data is visualized and displayed for each IoT sensor module in a graph, a figure, or a combination thereof,
Active monitoring system of a smart factory, characterized in that by comparing the received sensing data with a threshold value for each sensor set in advance to monitor whether an abnormal state occurs in the process of the smart factory. The method according to claim 1,
The process of the smart factory is,
Depending on the type of product or the purpose of the process, the transfer direction of the process line is changed, at least one specific station of the plurality of stations is activated, or at least one specific station of the plurality of stations is deactivated, or Or an active monitoring system of a smart factory characterized in that it is changed through a combination thereof. an IoT sensor module configuration step of configuring a plurality of IoT sensor modules including at least one sensor;
an IoT sensor module setting step of setting the configured IoT sensor module; and
Including; an active monitoring step of receiving and monitoring the sensing data from the set IoT sensor module;
The plurality of IoT sensor modules are installed in a plurality of process lines and stations constituting the smart factory, and are arranged in an array form in the smart factory to form an IoT sensor pool, and according to the process of the smart factory, the IoT sensor pool The active monitoring method of a smart factory, characterized in that by changing the configuration and settings of each IoT sensor module constituting the 9. The method of claim 8,
The configuration of the IoT sensor module is,
In a process including a process line and a station of the smart factory, a plurality of sensors provided in the IoT sensor module constitute a set of sensors necessary for monitoring the process,
The setting of the IoT sensor module is,
Setting parameters of operating conditions for a plurality of sensors constituting the IoT sensor module,
The configuration and the setting are reflected through a data structure including the configuration of the IoT sensor module and parameters of operating conditions for a plurality of sensors constituting the IoT sensor module,
The data structure is
Power on/off for each sensor of the IoT sensor module, sampling rate, sensing data collection period, resolution of the sensing data, threshold value of the sensing data, transmission period of the sensing data, or a combination thereof A smart factory active monitoring method. 9. The method of claim 8,
The active monitoring step,
The received sensing data is visualized and displayed for each IoT sensor module in a graph, a figure, or a combination thereof,
Active monitoring method of a smart factory, characterized in that by comparing the received sensing data with a threshold value for each sensor set in advance to monitor whether an abnormal state occurs in the process of the smart factory.

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