KR-20260066588-A - METHOD OF OPERATION OF AN APPARATUS FOR PREDICTING THE CONDITION OF EQUIPMENT BASED ON REAL-TIME MONITORING DATA FOR PREDICTIVE MAINTENANCE OF EQUIPMENT

Abstract

The present disclosure relates to a method of operating an electronic device. The method of operation comprises the steps of: acquiring sensing data for equipment from at least one sensor installed in at least one piece of equipment constituting a process line; predicting a failure time of the equipment based on the sensing data; and setting a maintenance time for the equipment based on the predicted failure time.

Inventors

• 정재오

Assignees

• 정재오

Dates

Publication Date

20260512

Application Date

20241230

Priority Date

20241104

Claims (9)

1. In the method of operating an electronic device, A step of obtaining sensing data for said equipment from at least one sensor installed in said equipment constituting a process line; A step of predicting the failure time of the equipment based on the above sensing data; and A method of operating an electronic device comprising the step of setting a maintenance time for the equipment based on the predicted failure time.
2. In paragraph 1, The method of operation of the above electronic device is, A step of obtaining a failure history including at least one failure time point in which a failure occurred in the equipment and a sensing history including sensing values for each sensing item sensed at each of a plurality of time points for the equipment; and A method of operating an electronic device comprising the step of training a fault prediction model to predict at least one fault time for the equipment based on the fault history and the sensing history.
3. In paragraph 2, The step of predicting the failure time of the above equipment is, Based on the output data obtained by inputting the sensing data into the above fault prediction model, at least one fault time for the equipment is obtained, and The step of setting the maintenance time for the equipment based on the predicted failure time above is, A method of operation of an electronic device for setting the maintenance time corresponding to a point in time prior to a preset reference time from the predicted failure time.
4. In paragraph 3, The method of operation of the above electronic device is, A step of obtaining a maintenance history including at least one maintenance time point in which maintenance was performed on the above equipment and a failure prediction history including at least one failure prediction time point in which a failure is predicted to occur on the above equipment; and A method of operating an electronic device comprising the step of training a fault prediction model based on the fault history, the sensing history, the maintenance history, and the fault prediction history.
5. In paragraph 1, The method of operation of the above electronic device is, A step of identifying that an operating abnormality of the equipment has occurred if, from the above sensing data, a value exceeding a threshold among the sensing values for each sensing item of the equipment is identified; and A method of operating an electronic device comprising the step of transmitting a message to the administrator's administrator terminal notifying that an operating abnormality of the above equipment has occurred.
6. In paragraph 1, The method of operation of the above electronic device is, A step of predicting the defect rate for each production time of a product produced through the above process line; and A method of operating an electronic device comprising the step of setting the maintenance time based on the predicted failure rate.
7. In paragraph 6, The method of operation of the above electronic device is, A step of obtaining a defect occurrence history including a defect occurrence rate of the product identified for each of a plurality of time points and a sensing history including sensing values for each sensing item sensed for each of the plurality of equipment constituting the process line at each of the plurality of time points; and A method of operating an electronic device comprising: a step of training a defect prediction model to predict a defect occurrence rate for at least one production time based on the defect history and the sensing history.
8. In Paragraph 7, The step of predicting the defect rate for each production point of the above-mentioned product is, A method of operation of an electronic device, wherein sensing data of each of a plurality of pieces of equipment constituting the process line is input into a defect prediction model trained to predict the defect rate for each production time of a product, and the defect rate for at least one production time is obtained based on the output data.
9. In paragraph 8, The step of setting the maintenance timing based on the predicted failure rate is, Among multiple production points, the first production point in which the predicted defect rate exceeds a preset first threshold is set as the first production point, and Identify production times in which the difference value of the predicted defect rate for each of the consecutive production times among the plurality of production times exceeds the first preset second threshold, and set the earlier production time among the identified production times as the second production time. A method of operation of an electronic device, wherein the maintenance time is set to a time point prior to a predetermined reference time based on the earlier of the first production time point and the second production time point.

Description

Method of operation of an electronic device for predicting the condition of equipment based on real-time monitoring data for predictive maintenance of equipment The present disclosure relates to a method of operating an electronic device, and more specifically, to a method of operating an electronic device that predicts a failure time based on sensing data of equipment and sets a maintenance time according to the predicted failure time. According to Heinrich's Law, before one major accident, there are 29 minor accidents and 300 minor warning signs. The collapse of the Seongsu Bridge on October 21, 1994, and the collapse of the Sampoong Department Store on June 29, 1995, are prime examples demonstrating the importance of predictive maintenance, which detects and prevents equipment failures in advance. Therefore, it is important to reduce unnecessary maintenance costs and prevent accidents through predictive maintenance technology, which monitors the overall condition of the production site in real time to predict and respond to problems such as equipment failures before they occur. FIG. 1 is a flowchart illustrating the operation of an electronic device setting a maintenance time for equipment according to one embodiment of the present disclosure. FIG. 2 is a drawing for explaining equipment and sensors according to one embodiment of the present disclosure. FIG. 3 is a diagram illustrating the operation of an electronic device according to one embodiment of the present disclosure communicating with a manager terminal. FIG. 4 is a flowchart illustrating the operation of an electronic device setting a maintenance time for equipment based on a failure rate according to one embodiment of the present disclosure. FIG. 5 is a block diagram illustrating the configuration of an electronic device according to one embodiment of the present disclosure. The embodiments described herein are subject to various modifications and may have various forms; specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the scope of specific embodiments and should be understood to include various modifications, equivalents, and/or alternatives of the embodiments of the present disclosure. In relation to the description of the drawings, similar reference numerals may be used for similar components. In describing the present disclosure, if it is determined that a detailed description of related known functions or configurations could unnecessarily obscure the essence of the present disclosure, such detailed description is omitted. Additionally, the following embodiments may be modified in various other forms, and the scope of the technical concept of the present disclosure is not limited to the following embodiments. Rather, these embodiments are provided to make the present disclosure more faithful and complete and to fully convey the technical concept of the present disclosure to those skilled in the art. The terms used in this disclosure are used merely to describe specific embodiments and are not intended to limit the scope of the rights. The singular expression includes the plural expression unless the context clearly indicates otherwise. In the present disclosure, expressions such as “have,” “may have,” “include,” or “may include” indicate the presence of such features (e.g., numerical values, functions, actions, or components such as parts) and do not exclude the presence of additional features. In the present disclosure, expressions such as “A or B,” “at least one of A or/and B,” or “one or more of A or/and B” may include all possible combinations of items listed together. For example, “A or B,” “at least one of A and B,” or “at least one of A or B” may refer to cases including (1) at least one A, (2) at least one B, or (3) both at least one A and at least one B. Expressions such as "first," "second," "first," or "second" used in this disclosure may modify various components regardless of order and/or importance, and are used only to distinguish one component from another and do not limit said components. Where it is stated that a component (e.g., Component 1) is "(operatively or communicatively) coupled with/to" or "connected to" another component (e.g., Component 2), it should be understood that the component may be directly connected to the other component or connected through the other component (e.g., Component 3). On the other hand, when it is stated that a certain component (e.g., a first component) is "directly connected" or "directly coupled" to another component (e.g., a second component), it may be understood that no other component (e.g., a third component) exists between the certain component and the other component. As used in this disclosure, the expression “configured to” may be replaced, depending on the context, with, for example, “suitable for,” “having the capacity to,” “designed to,” “adapted to,” “made to,” or “capable of