KR102409863B1 - Method, server and program for providing robot prevention and prediction measure service - Google Patents

Abstract

According to an embodiment of the present invention, there is provided a method for a service providing server to perform preventive measures and predictive measures for robots in a factory, the method comprising: (a) setting criteria for determining the status of the robots; (b) analyzing the status information for each axis of the robots received from the robot controller, and determining one or more of the process capability grade information for each axis, management status information, remaining life information, and status change pattern information according to the criteria ; (c) determining an action method corresponding to the determined result; and (d) transmitting the determined result information and the action method information to the terminal of the factory manager, the robot prevention and predictive action service providing method is provided.

Description

Robot preventive and predictive action service provision method, server and program

The present invention relates to a method, a server and a program for providing a robot preventive and predictive action service, and more particularly, a service providing server monitors the status of a plurality of robots owned by various factories to predict a change in the status of each axis of the robots in advance By doing so, it relates to a method, a server, and a program to prevent loss of a factory due to sudden robot failure by preventing robot failure in advance.

In a factory site where a number of industrial robots are used to produce products, high costs such as labor costs for periodically checking the status of the robots are consumed in order to maintain the robots.

In particular, when the robot fails unexpectedly, the production of the product is abruptly stopped, and thus the productivity and product quality of the factory are adversely affected.

In the case of automated manufacturing plants, where the number is gradually increasing, economic losses due to sudden robot failure appear larger. The need for technology that can make this possible and prevent failures is gradually increasing.

The present invention is to solve the problems of the prior art described above, and the service providing server analyzes preventive action information such as management status information for each axis of the robot, replacement recommended cycle information, recent parts replacement date information, remaining life information, etc. , by providing the results to the manager of the relevant plant, the purpose of preventing robot failure in advance is to minimize the loss cost of the plant and to improve the safety of the robot system.

In addition, the service providing server analyzes predictive action information such as status change trend information for each axis of the robot, process capability grade information, remaining life information, status change pattern information, etc., and provides the results to the manager of the plant. It aims to maximize robot management efficiency.

In addition, the purpose of the service providing server is to improve the accuracy and quality of the service by allowing the service providing server to automatically learn the state change pattern of the corresponding robot when analyzing the state of each robot.

Objects of the present invention are not limited to the objects mentioned above, and other objects not mentioned will be clearly understood from the description below.

According to an embodiment of the present invention for achieving the above object, in a method for a service providing server to perform preventive measures and predictive measures for robots in a factory, (a) for determining the status of the robots setting criteria; (b) analyzing the status information for each axis of the robots received from the robot controller, and determining one or more of the process capability grade information for each axis, management status information, remaining life information, and status change pattern information according to the criteria ; (c) determining an action method corresponding to the determined result; and (d) transmitting the determined result information and the action method information to the terminal of the factory manager, the robot prevention and predictive action service providing method is provided.

The robot state determination criterion may be a criterion for one or more of vibration, noise, and upper and lower limit values of the lifespan of the reducer, motor load rate, encoder temperature, continuous load rate, and reducer torque.

The step (b) may further include determining one or more of the information on the recommended replacement period of parts for each axis of the robot, the remaining days until the replacement date, and the status change trend information.

The step (b) may further include, when the state change pattern appears different from the existing pattern information, learning the new state change pattern to be applied when analyzing the state information for each axis in the future.

The determination result information may be displayed on the factory manager terminal in the form of one or more of graphs and Excel data.

According to another embodiment of the present invention for achieving the above object, in the service providing server for performing preventive measures and predictive measures for robots in a factory, service information for setting criteria for determining the status of the robots setting unit; By analyzing the state information for each axis of the robots received from the robot controller, one or more of the process capability class information, management state information, remaining life information, and state change pattern information for each axis are determined according to the above criteria, and the determined a robot state diagnosis unit that determines an action method corresponding to the result; and a monitoring information providing unit for transmitting the determined result information and the action method information to the terminal of the factory manager, a service providing server is provided.

The robot state determination criterion may be a criterion for one or more of vibration, noise, and upper and lower limit values of the lifespan of the reducer, motor load rate, encoder temperature, continuous load rate, and reducer torque.

The robot state diagnosis unit may further determine one or more of the information on the recommended replacement period of parts for each axis of the robot, the remaining days until the replacement date, and the state change trend information.

When the state change pattern appears to be different from the existing pattern information, the robot state diagnosis unit may learn the new state change pattern to be applied when analyzing the state information for each axis in the future.

The determination result information may be displayed on the factory manager terminal in the form of one or more of graphs and Excel data.

According to another embodiment of the present invention for achieving the above object, it is combined with a service providing server that communicates with the robot user terminal and the robot manufacturer terminal, comprising the steps of setting a criterion for determining the state of the robots; analyzing the state information for each axis of the robots received from the robot controller, and determining one or more of the process capability grade information for each axis, management state information, remaining life information, and state change pattern information according to the criterion; determining an action method corresponding to the determined result; and transmitting the determined result information and the action method information to the terminal of the factory manager, stored in the recording medium, a computer program is provided.

According to an embodiment of the present invention, the service providing server analyzes preventive action information such as management status information for each axis of the robot, replacement recommended period information, recent parts replacement date information, remaining life information information, etc. By providing it to the manager of the company, it is possible to prevent robot failure in advance, minimize the loss cost of the factory, and improve the safety of the robot system.

In addition, according to an embodiment of the present invention, the service providing server analyzes predictive action information such as state change trend information for each axis of the robot, process capability grade information, remaining life information, state change pattern information, etc. By providing it to the factory manager, it is possible to maximize the robot management efficiency of the factory.

In addition, according to an embodiment of the present invention, when the service providing server analyzes the state of each robot, it is possible to improve the accuracy and quality of the service by automatically learning the state change pattern of the corresponding robot.

It should be understood that the effects of the present invention are not limited to the above-described effects, and include all effects that can be inferred from the configuration of the invention described in the detailed description or claims of the present invention.

1 is a diagram schematically illustrating the configuration of a system for providing a real-time robot monitoring service according to an embodiment of the present invention.
2 is a block diagram illustrating the configuration of a service providing server according to an embodiment of the present invention.
3 is a flowchart illustrating a process in which a real-time robot monitoring service is provided according to an embodiment of the present invention.
4 is a diagram illustrating an example of a real-time robot monitoring program screen that can check alarm signals for each type and information of individual robots according to an embodiment of the present invention.
5 is a diagram illustrating an example of a real-time robot monitoring program screen that can check preventive measures information of a robot according to an embodiment of the present invention.
6 is a diagram illustrating an example of a real-time robot monitoring program screen that can check process capability grade information for each axis of the robot according to an embodiment of the present invention.
7 is a diagram illustrating an example of a real-time robot monitoring program screen that can check status change trend information for each axis of the robot according to an embodiment of the present invention.

Hereinafter, the present invention will be described with reference to the accompanying drawings. However, the present invention may be embodied in several different forms, and thus is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a part is “connected” with another part, it includes not only the case where it is “directly connected” but also the case where it is “indirectly connected” with another member in between. . In addition, when a part "includes" a certain component, this means that other components may be further provided without excluding other components unless otherwise stated.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram schematically illustrating the configuration of a system for providing a real-time robot monitoring service according to an embodiment of the present invention.

Referring to FIG. 1 , a system for providing a real-time robot monitoring service according to an embodiment of the present invention includes a robot 100 , a robot controller 200 , a service providing server 300 , a robot user terminal 400 , and a robot manufacturer terminal. (500).

At this time, the service providing server 300, the robot user terminal 400, and the robot manufacturer terminal 500 may be implemented as a recording medium operating through a computer program for realizing the functions described in this specification.

Hereinafter, an embodiment in which the robot 100, the robot controller 200, the service providing server 300, the robot user terminal 400, and the robot manufacturer terminal 500 exist one by one will be described, but the present invention is not limited thereto. , of course, each of these may exist in plurality to constitute a system for providing a real-time robot monitoring service.

First, the robot 100, the robot controller 200, the service providing server 300, the robot user terminal 400, and the robot manufacturer terminal 500 may be connected to each other through a communication network, where the communication network is wired and It can be configured regardless of its communication mode, such as wireless. It may be composed of various communication networks, such as a local area network (LAN), a metropolitan area network (MAN), and a wide area network (WAN).

The robot 100 may be a device that is installed in a factory and performs a specific work program designated through the robot controller 200 .

The robot 100 according to an embodiment may be configured with a plurality of axes made of various parts, and may include a sensor device for measuring temperature, vibration, noise, etc. of each axis.

The robot controller 200 may be a device that controls the operation of the robot 100 as it communicates with the robot 100 and periodically collects state information of the robot 100 .

The state information of the robot 100 includes motor operation information measured for each axis of the robot 100 connected to the robot controller 200, reducer operation information, encoder operation information, temperature information, vibration information, noise information, etc. may include

In addition, the robot controller 200 provides model information, serial number information, manufacturing date information, installation date information, installed sub-line information, IP address information, work information, and the like, as unique information of the robot 100 connected to the robot. (100) may also be collected.

The robot controller 200 according to an embodiment may transmit the collected unique information and status information of the robot 100 to the service providing server 300, and may transmit various alarm signals generated according to a standard set by itself. have.

According to another embodiment of the present invention, the robot 100 may include a data collection board device capable of communicating with an external server, and after collecting its own information and status information in an analog form, through the data collection board It may be converted into digital information and transmitted to the service providing server 300 .

The service providing server 300 may be a server that operates a real-time robot monitoring service by registering information on a factory to provide a real-time robot monitoring service in an internal database, and analyzing and processing the received robot 100-related information. .

According to one embodiment, the service providing server 300 may receive a variety of information related to each factory from each manager through the robot user terminal 400 and the robot manufacturer terminal 500, through which the factory You can register as a service target.

In addition, the service providing server 300 may manage the status of spare parts of the corresponding factory based on the registered factory information.

The service providing server 300 according to an embodiment of the present invention may receive information of a manager who will use the system from the robot user terminal 400 or the robot manufacturer terminal 500, and based on this, the manager You can register in the database and manage it.

The service providing server 300 may match the robot 100 with the factory based on unique information and state information of the robot 100 received from the robot controller 200 and register it in the internal database.

The service providing server 300 according to an embodiment may set reference information for analyzing the state information of the robot 100, and accordingly, by analyzing and processing the state information of the robot 100, the robot 100 It is possible to generate the preventive action information and the predictive action information, and transmit an alarm related thereto to the robot user terminal 400 or the robot manufacturer terminal 500 . The related contents will be described in detail later with reference to FIG. 2 .

According to an embodiment of the present invention, when an alarm signal is received from the robot controller 200 , the service providing server 300 may analyze the cause and countermeasures for this.

In addition, when the service providing server 300 receives information on the operation of the robot 100 from the robot controller 200 , it backs up it to an internal database, and the operation of the robot 100 based on the backed-up information You can also manage the error history.

The service providing server 300 can manage information and interface graphics displayed on the robot user terminal 400 or the robot manufacturer terminal 500 through a real-time robot monitoring program, and when there is a change, the web server (not shown) You can also update the program through

The robot user terminal 400 may be a terminal used by a robot user, that is, a manager who manages a factory producing products using the robot 100, respectively, and the robot manufacturer terminal 500 is a robot used by the robot user. It may be a terminal used by an administrator who manages a robot manufacturer who manufactures (100).

The robot user terminal 400 or the robot manufacturer terminal 500 can receive a real-time robot monitoring service from the service providing server 300 through a separate web server (not shown) according to the operation of each manager. You can download the robot monitoring program and install it in the internal memory.

The robot user terminal 400 and the robot manufacturer terminal 500 are a service providing server 300 through a network such as a mobile phone, a smart phone, a PDA (Personal Digital Assistant), a PMP (Portable Multimedia Player), a tablet PC, etc. It can be connected to an external server, and can include all kinds of handheld-based wireless communication devices. In addition, it provides services through a network, such as IPTV including desktop PCs, tablet PCs, laptop PCs, and set-top boxes. A communication device that can be connected to an external server such as the providing server 300 may also be included.

2 is a block diagram illustrating the configuration of a service providing server 300 according to an embodiment of the present invention.

Referring to FIG. 2 , the service providing server 300 includes a database 310 , a service information setting unit 320 , a robot-related information collecting unit 330 , a robot state diagnosis unit 340 , and a monitoring information providing unit 350 . , a system monitoring unit 360 , a control unit 370 , and a communication unit 380 may be included.

The database 310 may store various information related to the real-time robot monitoring service of the present invention.

According to an embodiment of the present invention, the database 310 includes factory information (name of the factory, identification code, spare parts holding status, etc.) of the robot user and the robot manufacturer who are the target of providing the real-time robot monitoring service, and the production line information of the corresponding factory. (Product line name, identification code, etc.), information for each sub-line (sub-line name, identification code, sequence number, etc.), manager information (administrator ID information, password information, name information, department information, position information, etc.) can be stored.

In addition, according to one embodiment, in the database 310, the unique information of the robot 100 received from the robot controller 200 (model information of the robot 100, serial number information, manufacturing date information, installation date information, installed sub Line information, IP address information, work information, etc.) and status information (motor operation information for each axis of the robot 100, reducer operation information, encoder operation information, temperature information, vibration information, noise information, etc.) can be stored. , reference information for analyzing the state information of the robot 100 and the result information on which the analysis is completed may be stored.

The service information setting unit 320 may register information related to a factory to which a real-time robot monitoring service is provided, and set criteria for analyzing the state information of the robot 100 .

Specifically, the service information setting unit 320 is the robot user terminal 400 and the robot manufacturer terminal 500, each of the robot user and the robot manufacturer factory information, the production line information of the factory, each sub-line information , and may receive a service registration request including manager information and the like.

Accordingly, the service information setting unit 320 may register the robot user and the robot manufacturer in the database 310 as a target for providing a real-time robot monitoring service based on the service registration request.

In addition, when a request for updating information on each of the robot user and the robot manufacturer is received from the robot user terminal 400 and the robot manufacturer terminal 500 in the future, the corresponding information may be modified.

According to an embodiment, the service information setting unit 320 may receive unique information of the robot 100 from the robot controller 200 .

Accordingly, the service information setting unit 320 matches the robot 100 with the sub-line on which the robot 100 is installed, and generates a specification item corresponding to the model of the robot 100. The robot ( 100) may be registered in the database 310 .

The service information setting unit 320 according to an embodiment of the present invention may later calculate the process capability level for each axis of the robot 100 in the robot state diagnosis unit 340 or set a criterion for determining the management state. have. For example, it is possible to set standards for the motor load factor of each axis, encoder temperature, continuous load factor, reducer torque, upper and lower limits of vibration/noise/reducer lifespan, etc., robot 100 status diagnosis cycle, robot 100 status information It is also possible to set the collection period, etc.

At this time, according to one embodiment, the criterion for diagnosing the state of the robot 100 may be input from an administrator who manages the service providing server 300 , the robot user terminal 400 or the robot manufacturer terminal 500 . It may be set according to information received from

The robot-related information collecting unit 330 may collect information related to the robot 100 , such as status information of the robot 100 , maintenance performance information of the robot 100 , and inventory status information of spare parts.

Specifically, the robot-related information collecting unit 330 may receive the state information for each axis of the robot 100 from the robot controller 200, and may store it in the database 310 for each received time.

In addition, according to an embodiment of the present invention, the robot controller 200 may generate an alarm signal by itself in relation to the state of the factory site or the state of the robot 100, and the robot-related information collecting unit 330 is An alarm signal of the robot controller 200 may be received from the robot controller 200 .

The robot-related information collecting unit 330 according to an embodiment includes the status information of spare parts owned by the factory corresponding to each from the robot user terminal 400 or the robot manufacturer terminal 500 and the robot 100 in the actual factory site. Information on which maintenance has been performed may be received and stored in the database 310, and may be updated when changes occur.

The robot state diagnosis unit 340 may analyze the information collected through the robot-related information collection unit 330 according to the analysis criteria set through the service information setting unit 320 , and store the result in the database 310 . .

Specifically, the robot state diagnosis unit 340 may calculate a process capability grade for each axis of the robot 100 or determine a management state with reference to the state information of the robot 100 .

According to an embodiment, the robot state diagnosis unit 340 may configure the motor load ratio for each axis of the robot 100 based on motor operation information, reducer operation information, encoder operation information, temperature information, vibration information, noise information, etc. for each axis of the robot 100 . , encoder temperature, reducer remaining life, continuous load factor, reducer torque, etc. can be calculated over days.

In addition, the robot state diagnosis unit 340 may determine the process capability grade for each axis of the robot 100 according to the calculated result, or determine the management state as any one of a good state, a replacement recommended state, and an elapsed state. have.

For example, the upper limit value and the lower limit value of the lifespan of the reducer set through the service information setting unit 320 may be 6 months and 3 months, respectively. At this time, as a result of the robot state diagnosis unit 340 analyzing the state information of the robot 100 , the remaining life of the reducer of the first axis of the robot 100 may be 2 months, and the remaining life of the reducer of the second axis is 4 months. can In this case, the robot state diagnosis unit 340 sets the process capability grade of the first axis to grade 5 and the process capability grade of the second axis to grade 3 higher than the first axis, or sets the management status of the first axis as a part As an elapsed state indicating that the replacement time has passed, the management state of the second shaft may be determined as a replacement recommended state indicating that replacement of parts is recommended.

In this case, according to an embodiment, the robot state diagnosis unit 340 may determine a necessary action method for each class or management state of each axis of the robot 100 .

For example, when the grade of the first axis of the robot 100 is grade 3, the parts replacement and maintenance recommendation signal for the corresponding axis can be transmitted to the manager terminal of the corresponding factory, and when the grade is 5, the corresponding axis When it is determined that there is a risk of failure with respect to the product, a signal requesting immediate replacement and maintenance of parts may be transmitted to the manager terminal of the relevant plant.

In addition, according to an embodiment of the present invention, the robot state diagnosis unit 340 may calculate the recommended replacement period for each axis of the robot according to the analysis result of the state information of the robot 100, and the database 310 ), the number of remaining days until the replacement date may also be calculated based on the maintenance performance information of the robot 100 stored in the .

The robot state diagnosis unit 340 according to an embodiment may calculate the remaining lifespan of each axis by analyzing the state information of the robot 100 and stating the state change trend for each axis of the corresponding robot 100, and the quality of each axis It is also possible to derive a state change pattern by extracting factors.

At this time, according to an embodiment of the present invention, when the derived state change pattern appears to be different from the existing pattern information, the robot state diagnosis unit 340 may learn the newly derived state change pattern, and When the state of the robot 100 is analyzed, the quality and accuracy of the real-time robot monitoring service can be improved by applying the learned state change pattern information.

When the robot state diagnosis unit 340 according to an embodiment of the present invention receives the alarm signal of the robot controller 200 through the robot-related information collection unit 330, the cause of the alarm signal and You can decide what to do about it.

For example, the robot-related information collecting unit 330 may receive an alarm signal indicating that the operation of the first robot has been stopped from the robot controller 200 , and in this case, the robot state diagnosis unit 340 may be configured to It is possible to check the status information to determine the cause of the problem, to determine an appropriate countermeasure for this, and to inform the manager terminal of the corresponding plant.

At this time, according to one embodiment, the countermeasure may be input from an administrator who manages the service providing server 300 , and may be set according to information received from the robot user terminal 400 or the robot manufacturer terminal 500 . have.

Thereafter, the robot state diagnosis unit 340 may store the history of the generated robot controller 200 alarm signal in the database 310 .

Monitoring information providing unit 350 is a real-time robot monitoring program, such as the service providing server 300 monitoring the factory-related information and the result information of the robot 100 through the robot status diagnosis unit 340 to analyze the status information of the robot 100 It can be provided to the robot user terminal 400 and the robot manufacturer terminal 500 through.

That is, the service providing server 300 collectively monitors a number of robots owned by factories and provides the status to each factory through a real-time robot monitoring program, thereby reducing the cost consumed by factories to manage robots. and its convenience can also be improved.

Specifically, the monitoring information providing unit 350 provides information on the arrangement of the robot 100 and the status information of the robot 100 for each entire line and sub-line in the factory. The robot user terminal 400 and the robot manufacturer terminal 500 By transmitting to , it can be displayed on each terminal.

In addition, the monitoring information providing unit 350 includes the state information of the robot 100 collected through the robot-related information collecting unit 330 and the motor load ratio for each axis of the robot 100 calculated through the robot state diagnosis unit 340 . , encoder temperature, reducer remaining life, continuous load factor, reducer torque, etc. can be statistically processed into graphs and Excel data.

Accordingly, the monitoring information providing unit 350 transmits the graph and Excel data to the robot user terminal 400 and the robot manufacturer terminal 500 so that they can be displayed on each terminal screen.

In addition, the monitoring information providing unit 350 transmits an alarm signal corresponding to the current state of the robot 100 diagnosed through the robot state diagnosis unit 340 to the robot user terminal 400 and the robot manufacturer terminal 500 . can also be transmitted. For example, when the current level of the first axis of the robot 100 is level 3, a signal for recommending parts replacement and maintenance for the axis may be transmitted to the manager terminal of the corresponding factory.

According to an embodiment, the monitoring information providing unit 350 may generate schedule information and a schedule error history of the robot 100 with reference to the operation information of the robot 100 stored in the database 310, and By transmitting to the user terminal 400 and the robot manufacturer terminal 500, it can be displayed on each terminal or displayed through a word program such as a memo pad.

According to an embodiment of the present invention, the monitoring information providing unit 350 refers to the status information of the spare parts owned by the factory stored in the database 310 and the information on which the maintenance of the robot 100 is performed at the actual factory site. , it is possible to periodically monitor the spare parts holding status of the corresponding factory, and information on the final stocking date of each spare part, information on the remaining quantity, etc. may be provided to the robot user terminal 400 and the robot manufacturer terminal 500 .

That is, the service providing server 300 analyzes the individual status information of the robots in real time through the process performed by the above-described robot status diagnosis unit 340 and the monitoring information providing unit 350 , thereby providing defects for each robot. And it is possible to reduce the cost of plant loss by detecting system abnormalities early and predicting future failures in advance so that maintenance is performed at each plant site.

The system monitoring unit 360 may monitor the operation of the service providing server 300 , the display status of the real-time robot monitoring program, whether an error occurs, and the like in real time.

Accordingly, when an error occurs during the operation of the service providing server 300 or an error occurs in the real-time robot monitoring program, the cause is analyzed and the problem is solved through server update or program update, etc. of the system. Stability and reliability can be improved.

The control unit 370 according to an embodiment includes a database 310 , a service information setting unit 320 , a robot-related information collection unit 330 , a robot state diagnosis unit 340 , a monitoring information providing unit 350 , and a system monitoring unit. It may perform a function of controlling the flow of data between the unit 360 and the communication unit 380 . That is, the control unit 370 according to the present invention includes a database 310 , a service information setting unit 320 , a robot-related information collection unit 330 , a robot state diagnosis unit 340 , a monitoring information providing unit 350 , and a system. The monitoring unit 360 and the communication unit 380 may be controlled to perform their own functions, respectively.

The communication unit 380 according to an embodiment enables communication between the service providing server 300 and an external server and an external device. Specifically, the service providing server 300 enables communication with the robot controller 200 , the robot user terminal 400 , and the robot manufacturer terminal 500 .

3 is a flowchart illustrating a process in which a real-time robot monitoring service is provided according to an embodiment of the present invention.

First, a real-time robot monitoring program may be installed in the robot user terminal 400 and the robot manufacturer terminal 500 , and the service providing server 300 includes the robot controller 200 , the robot user terminal 400 and the robot Based on the information received from the manufacturer's terminal 500, factory-related information and robot 100-related information, which are objects of real-time robot monitoring service, may have been registered in the internal database.

At this time, the factory-related information includes factory information (name of factory, identification code, spare parts holding status, etc.) of the robot user and robot manufacturer, production line information of the corresponding factory (name of the production line, identification code, etc.), each sub It may include one or more of line-specific information (sub-line name, identification code, sequence number, etc.) and manager information (administrator's ID information, password information, name information, department information, position information, etc.).

In addition, the robot 100-related information includes unique information of the robot 100 (model information of the robot 100, serial number information, manufacturing date information, installation date information, installed sub-line information, IP address information, work information, etc. ) and state information (motor operation information for each axis of the robot 100, reducer operation information, encoder operation information, temperature information, vibration information, noise information, etc.) may include one or more.

Referring to FIG. 3 , the service providing server 300 may set criteria to be applied when analyzing the state of the robot 100 later ( S301 ).

The criterion may be a criterion for calculating the process capability grade for each axis of the robot 100 or determining the management state, for example, the motor load rate of each axis, the encoder temperature, the continuous load rate, the reducer torque, the vibration·noise·· It may be a criterion for one or more of the upper and lower limits of the lifespan of the reducer.

At this time, according to one embodiment, the criterion for analyzing the state of the robot 100 may be input from an administrator who manages the service providing server 300 , the robot user terminal 400 or the robot manufacturer terminal 500 . It may be set according to information received from

Thereafter, the robot controller 200 may collect status information (motor operation information, reducer operation information, encoder operation information, temperature information, vibration information, noise information, etc.) for each axis of the robot 100 connected to it ( S302), it can be transmitted to the service providing server 300 (S303).

The service providing server 300 may store the state information for each axis of the robot 100 received through the step S303 in an internal database, and based on this, the motor load ratio for each axis, the encoder temperature, the remaining life of the reducer, the continuous load ratio, the reducer It is possible to analyze the torque and the like for more than one day (S304).

In addition, the service providing server 300 determines the process capability grade for each axis with reference to the result analyzed in step S304, or determines the management status as one or more of a good state, a replacement recommended state, and an elapsed state. Also (S305), it is also possible to derive the state change pattern by calculating the recommended parts replacement cycle, remaining life, or extracting the quality factor of each axis (S306).

At this time, according to an embodiment of the present invention, when the derived state change pattern appears to be different from the existing pattern information, the service providing server 300 may learn the newly derived state change pattern, and the future robot The quality and accuracy of the real-time robot monitoring service can be improved by applying the learned state change pattern information when analyzing the state of ( 100 ).

In addition, the service providing server 300 according to an embodiment refers to the information on the status of spare parts stored in the factory pre-stored in the internal database and the information on which the maintenance of the robot 100 is performed at the actual factory site, the corresponding factory. It is also possible to periodically monitor the final stocking date information and the remaining quantity information of each spare part of (S307).

According to an embodiment of the present invention, the robot controller 200 may generate an alarm signal by itself in relation to the state of the factory site or the state of the robot 100 , and transmit the alarm signal to the service providing server 300 . It can be transmitted (S308).

The service providing server 300 is the current state of each axis of the robot 100 analyzed through the steps S304 to S306, the status of spare parts in the factory monitored through the step S307, and the robot controller 200 received through the step S308. According to the alarm signal, it is possible to determine a necessary action plan for the current robot 100 (S309).

Specifically, the service providing server 300 may determine a necessary action method for each grade or management status of each axis of the robot 100, and may determine whether inventory replenishment is necessary according to the spare parts status, etc., The robot controller 200 may determine the cause of the alarm signal and countermeasures corresponding thereto.

The service providing server 300 according to an embodiment may process the results of real-time robot monitoring performed through the steps S304 to S307 into graphic data suitable for each result, such as graphs and Excel data (S310).

Thereafter, the service providing server 300 transmits the data processed through the step S310 and the alarm signal guiding the necessary action determined through the step S309 as a real-time robot monitoring result to the robot user terminal 400 and the robot manufacturer terminal ( 500) may be provided (S311).

Accordingly, the service providing server 300 analyzes the individual status information of the robots 100 in real time, so that defects and system abnormalities for each robot 100 can be detected early and failures that will occur in the future can be predicted in advance. , it is possible to reduce the loss cost of the plant by making maintenance at each plant site.

4 is a view showing an example of a real-time robot monitoring program screen that can check the alarm signal for each type and information of the individual robot 100 according to an embodiment of the present invention.

Referring to FIG. 4 , the real-time robot monitoring program provides a menu capable of confirming the counting of the quantity of each type of alarm signal provided from the service providing server 300 as shown in ①.

Here, the Robot Alarm menu may provide information that the service providing server 300 identifies the cause of the robot controller 200 alarm signal and a countermeasure therefor. In this case, according to an embodiment, the information may be provided for each type of alarm signal, and history data of the occurrence and cancellation of the alarm signal of the robot controller 200 may be provided for each individual robot 100 .

The Prevention Measures menu may provide information on the management status for each axis of the robot 100, information on a recommended replacement cycle, information on the latest part replacement date, information on the remaining days of life, and the like as preventive measures information. At this time, according to an embodiment, the information may be provided for each type of management state, and preventive action history information for each individual robot 100 may be provided.

The Prediction Measures menu is predictive action information, and may provide status change trend information for each axis of the robot 100, process capability grade information, remaining life information, status change pattern information, etc., and according to an embodiment, by process capability grade That information may be provided.

The Application Alarm menu may provide alarm information related to the real-time robot monitoring program, such as program update information and program error occurrence information.

In addition, the real-time robot monitoring program according to an embodiment provides a screen for graphically checking the overall layout of the factory and status information of the robots 100 as shown in ②.

On the screen, graphic icons representing the robot 100 can be arranged in the same arrangement as the actual robots 100 are arranged at the factory site, and the color of each robot state shown in ③ for each graphic icon is displayed, so that the manager to intuitively check the current state of the robots 100 .

In addition, when clicking on the graphic icon of the robot 100 on the corresponding screen, a pop-up window that can individually check the state of the robot 100 corresponding thereto may be provided as shown in ④.

5 is a diagram illustrating an example of a real-time robot monitoring program screen that can check preventive action information of the robot 100 according to an embodiment of the present invention.

Referring to FIG. 5 , individual robots 100 arranged in the factory may be selected through the Robot Explore menu as in ①, and preventive measures information of the selected robot 100 may be displayed as shown in ②.

According to one embodiment, the management state information of the robot 100 may be one or more of a good state (Nomal), a replacement recommended state (Repl Recommend), and a passing state (Passed), as shown in ③, and a different color is designated for each state can be

Accordingly, as shown in ④, a color corresponding to each management state for each axis of the robot 100 can be displayed, and through this, the user can easily check the management state information of the robot 100. .

6 is a diagram illustrating an example of a real-time robot monitoring program screen that can check process capability grade information for each axis of the robot 100 according to an embodiment of the present invention.

Referring to FIG. 6 , each axis of the robot 100 may be represented by AXn (n>0), and as shown in ①, the process capability grade for each axis may be displayed in the form of a bar graph.

In this case, according to an embodiment, different colors may be designated for each process capability grade for each axis, and a graph having a color corresponding to each process capability grade may be provided for each axis.

7 is a diagram illustrating an example of a real-time robot monitoring program screen that can check status change trend information for each axis of the robot 100 according to an embodiment of the present invention.

Referring to FIG. 7 , the state change trend for each axis of the robot 100 analyzed through the service providing server 300 may be displayed in the form of a line graph as shown in ①, and for each axis as shown in ② They may be displayed in different colors.

In addition, as shown in ③, detailed data on the state change trend for each axis may be arranged and displayed by time.

As such, according to an embodiment of the present invention, the service providing server 300 provides information on the management status of each axis of the robot 100, information on a recommended replacement period, information on the latest parts replacement date, information on preventive measures such as information on the remaining days of life, etc. By analyzing and providing the result to the manager of the corresponding factory, the failure of the robot 100 can be prevented in advance, the loss cost of the factory can be minimized, and the safety of the robot 100 system can be improved.

In addition, according to an embodiment of the present invention, the service providing server 300 analyzes predictive action information such as status change trend information for each axis of the robot 100, process capability grade information, remaining life information, status change pattern information, etc. And, by providing the result to the manager of the factory, it is possible to maximize the robot 100 management efficiency of the factory.

In addition, according to an embodiment of the present invention, when the service providing server analyzes the state of each robot 100, it is possible to improve the accuracy and quality of the service by automatically learning the state change pattern of the corresponding robot 100. may be

The effects of the present invention are not limited to the above-described effects, and it should be understood to include all effects that can be inferred from the configuration of the invention described in the detailed description or claims of the present invention.

The description of the present invention described above is for illustration, and those of ordinary skill in the art to which the present invention pertains can understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. For example, each component described as a single type may be implemented in a dispersed form, and likewise components described as distributed may also be implemented in a combined form.

The scope of the present invention is indicated by the following claims, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be construed as being included in the scope of the present invention.

100: robot
200: robot controller
300: service providing server
310: database
320: service information setting unit
330: robot-related information collection unit
340: robot state diagnosis unit
350: monitoring information providing unit
360: system monitoring unit
370: control
380: communication department
400: robot user terminal
500: robot manufacturer terminal

Claims (11)

A method for a service providing server to perform preventive measures and predictive measures for robots in a factory,
(a) setting a robot state determination criterion for determining the state of the robots;
(b) analyzing the status information for each axis of the robots received from the robot controller, and determining one or more of the process capability grade information for each axis, management status information, remaining life information, and status change pattern information according to the above criteria step;
(c) determining an action method corresponding to a result of performing the determination; and
(d) transmitting the determination result information for the determination and information on the action method to the factory manager terminal,
The step (b) includes determining the processing capability grade for each of the plurality of axes according to the remaining lifespan of each of the plurality of axes included in the state information for each axis based on a preset upper limit value and a lower limit value,
When the difference in remaining life between the first axis and the second axis among the plurality of axes is equal to or greater than a preset value, the process capability class of the first axis and the process capability class of the second axis are determined differently, robot preventive and predictive action service How to provide.
The method of claim 1,
The robot state determination criterion is,
How to provide a service providing preventive and predictive measures for robots, which are the criteria for vibration, noise and at least one of the upper and lower limits of the life of the reducer, motor load factor, encoder temperature, continuous load factor and reducer torque of each axis.
The method of claim 1,
The step (b) is,
Further comprising the step of determining more than one of the recommended replacement period information for each axis of the robot, the remaining days until the replacement date information, and the status change trend information,
The remaining life information is determined through statistical analysis of the state change trend information for each axis,
The state change pattern information is determined from the quality factor of each axis, the robot preventive and predictive action service providing method.
The method of claim 1,
The step (b) is,
When the state change pattern appears different from the existing pattern information, learning the new state change pattern to be applied when analyzing the state information for each axis in the future,
Further comprising the step of determining a management state for each axis based on the remaining life information,
The management status of each axis is,
Based on the preset upper and lower limit values, the remaining life information is in a good state when the remaining life information is greater than or equal to the preset upper limit value, an elapsed state when the remaining life information is less than or equal to the preset lower limit value, and a replacement recommended state when it is between the preset upper limit value and the lower limit value determined, how to provide robotic preventive and predictive action services.
The method of claim 1,
The determination result information is
A method of providing a robot preventive and predictive action service, which is displayed on the factory manager terminal in the form of one or more of graphs and Excel data.
In the service providing server that performs preventive measures and predictive measures for robots in the factory,
a service information setting unit for setting robot status determination criteria for determining the status of the robots;
By analyzing the state information for each axis of the robots received from the robot controller, one or more of the process capability grade information, management state information, remaining life information, and state change pattern information for each axis are determined according to the criteria, and the determination is made. a robot state diagnosis unit for determining an action method corresponding to the determination result information; and
and a monitoring information providing unit for transmitting the determination result information and information on the action method to a factory manager terminal,
The robot state diagnosis unit determines the process capability grade for each of the plurality of axes according to the remaining lifespan of each of the plurality of axes included in the state information for each axis based on preset upper and lower limits,
When the difference in the remaining life between the first axis and the second axis among the plurality of axes is equal to or greater than a preset value, the process capability class of the first axis and the process capability class of the second axis are determined differently.
7. The method of claim 6,
The robot state determination criterion is,
A service providing server, which is a criterion for one or more of vibration, noise, and the upper and lower limits of the life of the reducer, motor load factor, encoder temperature, continuous load factor, and reducer torque of each axis.
7. The method of claim 6,
The robot state diagnosis unit,
Further determining more than one day among the recommended replacement cycle information for parts for each axis of the robot, information on the number of days remaining until the replacement date, and information on the status change,
The remaining life information is determined through statistical analysis of the state change trend information for each axis,
The state change pattern information is determined from the quality factor of each axis, a service providing server.
7. The method of claim 6,
The robot state diagnosis unit,
When the state change pattern appears different from the existing pattern information, the new state change pattern is learned and applied when analyzing the state information for each axis in the future,
Determine the management status for each axis based on the remaining life information,
The management status of each axis is,
Based on the preset upper and lower limit values, the remaining life information is in a good state when the remaining life information is greater than or equal to the preset upper limit value, an elapsed state when the remaining life information is less than or equal to the preset lower limit value, and a replacement recommended state when it is between the preset upper limit value and the lower limit value determined, the service providing server.
7. The method of claim 6,
The determination result information is
A service providing server, which is displayed on the factory manager terminal in the form of one or more of graphs and Excel data.
Combined with a service providing server that communicates with a user terminal using a robot and a robot manufacturer terminal,
setting a robot state determination criterion for determining the state of the robot;
analyzing the state information for each axis of the robot received from the robot controller, and determining one or more of process capability grade information for each axis, management state information, remaining life information, and state change pattern information according to the criteria;
determining an action method corresponding to the determination result information for the determination; and
performing the step of transmitting the determination result information and information on the action method to a terminal of a factory manager;
In the step of generating the information on the action method for each axis, the process capability rating for each of the plurality of axes according to the remaining lifespan of each of the plurality of axes included in the state information for each axis based on a preset upper limit value and a lower limit value comprising the step of determining
When the difference in the remaining life between the first axis and the second axis among the plurality of axes is equal to or greater than a preset value, the process capability class of the first axis and the process capability class of the second axis are determined differently; a computer stored in a recording medium program.

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