KR101996070B1 - Method and apparatus for efficiently managing part - Google Patents

Abstract

The part management device includes: an average service life calculation unit for calculating an average service life of the component using big data about the component; A remaining service life calculation unit for calculating a remaining service life of the part by subtracting the use time used up to the present part from the average service life; And a remaining service life adjusting unit for adjusting the remaining service life using the sensing data relating to the component.

Description

[0001] METHOD AND APPARATUS FOR EFFICIENTLY MANAGING PART [0002]

The present invention relates to an apparatus and method for monitoring the status of a part and for efficiently managing the part.

In the revolution in automation, the term automation is the abbreviation of 'automatic motivation', first used by the Ford Motor Company in 1940, which means that several related devices work together.

Components in complete products (eg, industrial robots, etc.) used for such automation (eg, robot joint parts) are inevitably consumed every time the complete product is started.

Conventional technology only considers delaying such part consumption, but does not consider replacing or repairing parts by monitoring the state of parts.

Therefore, there is a need for a technique for efficiently managing parts in a complete product (finished product).

Korean Patent Publication No. 10-2017-0004088 (Publication date: 2017.01.11)

A problem to be solved by the present invention is to provide a method and apparatus for monitoring the state of components and efficiently managing components using big data and sensing data about the components.

According to an embodiment of the present invention, a parts management apparatus is provided. The part management device includes: an average service life calculation unit for calculating an average service life of the component using big data about the component; A remaining service life calculation unit for calculating a remaining service life of the part by subtracting the use time used up to the present part from the average service life; And a remaining service life adjusting unit for adjusting the remaining service life using the sensing data relating to the component.

The parts managing apparatus may further include a sensing data collecting section for calculating a wear rate indicating how fast the part is worn with time using the sensing data on the part.

The remaining life adjusting unit may increase or decrease the remaining service life based on the wear rate.

Wherein the remaining life adjusting unit reduces the remaining service life by x% (where x is a natural number) of the remaining service life when the wear rate is within the first speed range, and when the wear rate is larger than the first speed range The remaining lifetime can be reduced by y% (where y is a natural number greater than x) of the remaining lifetime in the presence of the second speed range.

Wherein the parts management device transmits data including the type, size, manufacturer, revolutions per minute (RPM), material, and replacement cycle of the part from an external device managed by a part user using the part And a big data generator for generating the big data.

The parts management apparatus automatically checks the inventory of the parts when the remaining service life is less than the threshold time and automatically generates a parts order sheet for ordering the parts when the inventory of the parts is less than the critical amount, And a component ordering unit that transmits the component ordering information.

According to another embodiment of the present invention, there is provided a method of managing parts of a parts management apparatus. The part management method includes: calculating an average lifetime of the component using big data on the component; Calculating a remaining service life of the part, the service life of the part being less than the life time used so far; Using the sensing data on the part to calculate a wear rate that indicates how quickly the part wears over time; And adjusting the remaining service life based on the wear rate.

According to the embodiment of the present invention, since the big data about the parts and the sensing data about the parts are used, the state of the parts can be accurately monitored and the parts can be efficiently managed.

Further, according to the embodiment of the present invention, since the remaining service life of the component is adjusted optimally by reflecting the state of the component, it is possible to quickly take precautions for the component.

BRIEF DESCRIPTION OF THE DRAWINGS Figure 1 shows a parts management system according to an embodiment of the present invention.
2 is a view showing a parts management apparatus according to an embodiment of the present invention.
Fig. 3 is a diagram showing a method of managing parts by the parts management apparatus according to the embodiment of the present invention. Fig.
4 is a diagram of a computing device, in accordance with an embodiment of the present invention.

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

In the present specification, duplicate descriptions are omitted for the same constituent elements.

Also, in this specification, when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, May be present. On the other hand, in the present specification, when an element is referred to as being "directly connected" or "directly connected" to another element, it should be understood that no other element exists in between.

Furthermore, terms used herein are used only to describe specific embodiments and are not intended to be limiting of the present invention.

Also, in this specification, the singular forms "a," "an," and "the" include plural referents unless the context clearly dictates otherwise.

Also, in this specification, the terms " comprise ", or " have ", and the like are used to specify that there is a feature, a number, a step, an operation, an element, a component, But do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, parts, or combinations thereof.

Also, in this specification, the term 'and / or' includes any combination of the listed items or any of the plurality of listed items. In this specification, 'A or B' may include 'A', 'B', or 'both A and B'.

BRIEF DESCRIPTION OF THE DRAWINGS Figure 1 shows a parts management system according to an embodiment of the present invention.

The parts managing apparatus 100 can efficiently manage the parts using the big data about the parts and the sensing data about the parts. Here, the component may be a part of a device used in an industrial field, a joint part of a robot that moves a product in a factory, a part of an elevator, a part of a vending machine, or a part used in a device in a non-industrial field. That is, the present invention is not limited to specific parts but can be applied to all parts regardless of the parts.

The parts managing apparatus 100 can receive data on the parts from the at least one parts data server PAC1, PAC2, ..., PACN via the network. The component data servers PAC1, PAC2, ..., PACN may be external devices that are managed by the component user using the component. For example, when the part is an automobile part, the parts data server (PAC1, PAC2, ..., PACN) is an automobile company that uses automobile parts to produce automobiles, And may be a device that is managed by a company and stores and manages data relating to automobile parts. The data on the parts may include the type of part, the size of the part, the manufacturer of the part, the material of the part, the revolutions per minute (RPM) of the part (for example, (For example, the frequency at which a part is replaced due to wear), the time and frequency of operation of the part (eg, the degree to which a part within a complete part is used during the reference time, Etc.) and the like. For example, if the component is a joint part of a moving robot used in a factory, the data on the robot joint parts can be obtained by moving the moving object when the moving robot moves, the speed at which the robot joint parts rotate, The period during which the robot joint parts are worn out and replaced, the movement of the robot during the movement of the robot, and the number of times a day or how many times a day is used. The parts managing apparatus 100 and the parts data servers PAC1, PAC2, ..., PACN may be connected via a wired / wireless network.

The parts managing apparatus 100 can collect sensing data on the parts through at least one sensor SNS1, SNS2, ..., SNSM installed in the parts (or parts). Here, the sensors SNS1, SNS2, ..., SNSM may be an auditory sensor, a vibration sensor, a temperature sensor, an olfactory sensor, a visual sensor, or the like. The audible sensor can detect the sound (sound) generated by the parts in the complete product when it is in full operation, and can generate sound data about the parts. The vibration sensor can detect the vibration generated by the parts in the complete product when it is in full operation, and can generate the vibration data about the parts. The temperature sensor is able to generate temperature data on the part by detecting the temperature that occurs in the part in the complete product when it is in full operation. The olfactory sensor can detect the odor (or odor concentration) occurring in the parts in the complete product at full operation and generate odor data on the part. The visual sensor can photograph the part in the complete product and generate image data (e.g., shape, shape, color, etc.) of the part. The sound data, the vibration data, the temperature data, the odor data, the image data, and the like generated through such a sensor with respect to the parts can be stored in various storage media such as the state of the parts (for example, the degree of wear of the parts, The degree of damage of parts, etc.). The parts managing apparatus 100 and the sensors SNS1, SNS2, ..., SNSM may be connected via a wired / wireless network.

The parts managing apparatus 100 compares the sensed data currently collected for the parts with the sensing data generated when the parts in the full product are normal, judges whether there is an abnormality in the parts, and schedules the parts replacement time or parts inspection time .

The parts managing apparatus 100 can calculate the average lifetime of the parts by using the big data about the parts and calculate the remaining service life of the parts by subtracting the used time that the parts have been used from the average life of the parts. Then, the parts managing apparatus 100 can adjust the remaining service life of the parts using the sensing data relating to the parts.

The parts management apparatus 100 stores information such as the state of a part (for example, the degree of wear of the part, the degree of consumption of the part, the degree of robustness of the part, the degree of damage of the part, etc.), the remaining life of the part, ). The user terminal 200 includes a display device and may be a smart phone, a notebook computer, a personal digital assistant (PDA), a personal computer, a personal computer, or the like capable of wired / wireless communication. The parts managing apparatus 100 can provide the user terminal 200 with the status of the parts, the remaining life of the parts, and the stock status of the parts in real time, and can use the graphs, the charts, And an inventory status of parts can be visually expressed and provided to the user terminal 200. Thus, the user terminal 200 can remotely monitor the status of the parts and the like. The parts managing apparatus 100 and the user terminal 200 may be connected through a wired / wireless network.

The part managing apparatus 100 can check the stock status of the part before the lifetime of the part expires and can request the part ordering server SAC1 to order the part according to the stock status of the part. The parts managing apparatus 100 and the parts sale server SAC1 may be connected through a wired / wireless network.

Fig. 2 is a view showing the parts managing apparatus 100 according to the embodiment of the present invention.

The parts managing apparatus 100 includes a big data generating unit 110, an average life calculating unit 120, a sensing data collecting unit 130, a remaining life calculating unit 140, a remaining life adjusting unit 150, (160), and a component ordering part (170).

The big data generation unit 110 generates the big data from the parts data servers PAC1, PAC2, ..., PACN, such as the type, size, manufacturer, RPM, material, It is possible to receive via the wireless network, and use this part data to generate big data about the part.

The average life span calculating unit 120 can calculate the average life span of parts using the big data about the parts. For example, the average life span calculating unit 120 can calculate the average value of the parts replacement cycle using the part replacement cycle data included in the big data, and determine the average value of the parts replacement cycle as the average life span of the parts. However, this is merely an example, and the average life span calculating unit 120 can calculate the average life span of components by taking into consideration various data included in the big data.

The sensing data collecting unit 130 collects sensed data (e.g., sound data, vibration data, temperature data, smell data, etc.) about the parts through the sensors SNS1, SNS2, Data, and image data, etc.).

The sensing data collecting unit 130 comprehensively considers various sensing data related to the components and comprehensively determines the state of the components (for example, the degree of wear of the components, the degree of consumption of the components, the robustness of the components, Etc.).

The sensing data collecting unit 130 uses the sensing data of the parts to calculate a component state change rate indicating how fast the component state changes with time and a component state change acceleration indicating how quickly the component state change rate changes with time Can be calculated. Specifically, the sensing data collecting unit 130 uses the sensing data relating to the parts to calculate the wear rate (or the wear rate, the breakage rate, and the deterioration) indicating how quickly the parts are worn (or consumed, Speed, etc.) can be calculated. For example, the sensing data collecting unit 130 may calculate the wear rate similar to a conventional speed calculation method (e.g., daily progress / hour). That is, the sensing data collecting unit 130 can calculate the wear rate based on how quickly the parts are worn (for example, worn amount / time) based on the absolute time (for example, one week, one month, etc.). Also, the sensing data collecting unit 130 can calculate the wear acceleration indicating how fast the wear rate (for example, the instant wear amount) changes with time, and obtain the wear acceleration by differentiating the wear rate. Also, the sensing data collection unit 130 may calculate the wear rate average and the wear acceleration average.

The remaining service life calculation unit 140 calculates the remaining service life of the parts in the complete product, using the service time (service life period) in which the parts in the full product are used up to now and the part average life time calculated by the average service life calculation unit 120 . For example, in a case where a part in use in the full product is 300 days in use and the part life expectancy calculated by the average service life calculating part 120 is 400 days, the remaining service life calculating part 140 calculates the remaining service life The remaining service life of the part can be calculated as 100 (= 400-300) days.

The remaining life adjusting unit 150 can adjust the remaining service life of parts using the sensing data relating to the parts. Specifically, the remaining life adjustment unit 150 may increase the remaining service life of the component in consideration of the state of the component (for example, the component state determined by the sensing data collection unit 130) determined based on the sensing data about the component Can be reduced. For example, if the state value of the component is lower than the reference value, assuming that the state of the component is higher as the state value of the component is higher, the remaining life adjustment unit 150 calculates the remaining life of the component The remaining life can be reduced.

The remaining service life adjusting unit 150 adjusts the remaining service life of the component in accordance with the component state change speed and component state change acceleration calculated by the sensing data collecting unit 130 (e.g., component wear rate, component wear rate, component wear rate average, Based on at least one, the remaining service life of the part can be adjusted.

Specifically, the remaining life adjuster 150 may adjust the remaining life of the component according to the speed class to which the calculated component state change speed belongs or the acceleration class to which the component state change acceleration belongs, according to the speed class or the acceleration class. For example, in the case where the calculated component wear rate is the B grade in Table 1 below (e.g., b speed or more and less than c speed), the remaining life adjuster 150 sets the remaining component life of the component to x% , x is a natural number). In another example, when the calculated component wear rate is the C rating in Table 1 below (e.g., greater than c-speed and less than d-speed), the remaining life adjuster 150 adjusts the component remaining life to y% Where y is a natural number greater than x). In another example, if the calculated component wear rate is the A grade (e.g., greater than a speed and less than b speed) in Table 1 below, the remaining life adjuster 150 adjusts the component remaining life to 0% .

Speed rating Adjustment percent A (over a speed and below b speed) 0% B (speed above b and speed below c) x% C (less than c speed and less than d speed) y% ... ...

The component state providing unit 160 may determine the component state determined by the sensing data collecting unit 130 (e.g., the degree of wear of the component, the degree of wear of the component, the degree of robustness of the component, The remaining lifetime of the parts calculated and adjusted by the remaining lifespan adjuster 140 and the remaining life adjuster 150, the inventory status of the parts, and the like to the user terminal 200. Particularly, the part state providing unit 160 can provide the part information, the part status, the part remaining life, the part inventory status, or the like periodically or at the request of the user terminal 200 to the user terminal 200. The parts condition providing unit 160 can visually express (for example, graphs, charts, and the like) the parts information, the parts status, the parts remaining life, parts inventory status and the like and provide them to the user terminal 200 in real time.

The part ordering unit 170 may check the stock status of the part before the life of the part expires and then request the part ordering server SAC1 to order the part according to the confirmation result. Specifically, the part ordering unit 170 can check the quantity of parts to be stocked when the remaining service life of the parts is less than the critical time (for example, 30 days). The part ordering unit 170 can generate a part ordering order for ordering parts and transmit them to the parts sales server SAC1 when the stock quantity of the parts is smaller than the threshold amount. The part ordering unit 170 can automatically generate a part ordering document or generate a part ordering document when a part ordering instruction is received from the user terminal 200. [

3 is a diagram showing a method of managing parts by the parts managing apparatus 100 according to an embodiment of the present invention.

The parts managing apparatus 100 can calculate the average life span of the parts using the big data about the parts (S110).

The parts managing apparatus 100 may calculate the remaining service life of the part by subtracting the use time (or the use period) of the part in the full product from the part average life time calculated in step S110 (S120).

The parts managing apparatus 100 can adjust the remaining life of the parts calculated in step S120 using the sensing data on the parts (S130). Specifically, the parts managing apparatus 100 can determine the state of a part by using the sensing data related to the part, and adjust the remaining life of the part based on the state of the part. Further, the parts managing apparatus 100 can calculate the component state change speed and the component state change acceleration using the sensing data related to the component, and adjust the component remaining life based on at least one of the component state change rate and the component state change acceleration have.

The parts managing apparatus 100 can visually express parts information, parts health status, parts remaining life, part stock status, and the like to the user terminal 200 (S140).

The parts managing apparatus 100 can check the stock status of the part before the lifetime of the part expires and request the parts sales server SAC1 to order the part according to the confirmation result (S150).

4 is a diagram of a computing device, in accordance with an embodiment of the present invention. The computing device TN100 of FIG. 4 includes the parts management device 100, the parts data server PAC1, PAC2, ..., PACN, the parts sales server SAC1, the user terminal 200, (SNS1, SNS2, ..., SNSM), and the like.

In the embodiment of FIG. 4, the computing device TN100 may include at least one processor (TN 110), a transceiver (TN 120), and a memory (TN 130). Further, the computing device TN100 may further include a storage device TN140, an input interface device TN150, an output interface device TN160, and the like. The components included in the computing device TN100 may be connected by a bus (TN170) and communicate with each other.

The processor TN110 may execute a program command stored in at least one of the memory TN130 and the storage device TN140. The processor TN110 may refer to a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which methods according to embodiments of the present invention are performed. The processor TN110 may be configured to implement the procedures, functions, methods, and the like described in connection with the embodiments of the present invention. The processor TN110 may control each component of the computing device TN100.

Each of the memory TN130 and the storage device TN140 may store various information related to the operation of the processor TN110. Each of the memory TN130 and the storage device TN140 may be constituted of at least one of a volatile storage medium and a nonvolatile storage medium. For example, the memory TN130 may be configured with at least one of a read only memory (ROM) and a random access memory (RAM).

The transceiver apparatus TN120 can transmit or receive a wired signal or a wireless signal. The transceiver apparatus (TN120) can be connected to a wired / wireless network to perform communication.

The embodiments of the present invention are not limited to the above-described apparatuses and / or methods, but may be implemented through a program for realizing the function corresponding to the configuration of the embodiment of the present invention or a recording medium on which the program is recorded And such an embodiment can be easily implemented by those skilled in the art from the description of the embodiments described above.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, And falls within the scope of the invention.

Claims (6)

An average life span calculating unit for calculating an average life span of the part by using big data on the part;
A remaining service life calculation unit for calculating a remaining service life of the part by subtracting the use time used up to the present part from the average service life;
A remaining service life adjusting unit for adjusting the remaining service life using sensing data relating to the component; And
And a sensing data collecting unit for calculating a wear rate using the sensing data on the part, the wear rate indicating how fast the part wears over time, and the wear rate indicating how fast the wear rate varies with time,
Wherein the remaining service life adjusting unit increases or decreases the remaining service life by recalculating the remaining service life based on the wear rate and the wear acceleration
Part management device.
delete The method according to claim 1,
The remaining life adjusting unit,
(X is a natural number) of the remaining service life when the wear rate is within a first speed range, and reducing the remaining service life within a second speed range where the wear rate is greater than the first speed range , The remaining service life is reduced by y% of the remaining service life (where y is a natural number greater than x)
Part management device. The method according to claim 1,
The data including the type, size, manufacturer, revolutions per minute (RPM), material, and replacement cycle of the part are received from an external device managed by a part user using the part, The large data generating unit
Further comprising: The method according to claim 1,
A part ordering part for automatically generating a part ordering order for ordering the parts when the remaining part of the parts is less than the threshold amount and for transmitting the parts ordering server to the parts sales server,
Further comprising: A part management method for a part management device,
Calculating an average life span of the part using big data on the part, the average life span calculating part included in the parts managing apparatus;
Calculating a remaining service life of the part by subtracting the service life time in which the part is used so far from the average service life;
A sensing data collecting unit included in the parts managing apparatus calculates a wear rate indicating how fast the part is worn with time using the sensing data on the part and a wear rate indicating how fast the wear rate varies with time Calculating an acceleration; And
Wherein the remaining life adjusting unit included in the parts managing apparatus adjusts the remaining lifetime through recalculating the remaining life based on the wear rate and the wear acceleration
And a part management device for managing the part.

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