KR20240022876A - Method, apparatus and progrm for proving storage box management platform using smart electronic scale - Google Patents

Abstract

The present invention relates to a method, device, and program for providing a cargo management platform using a smart electronic scale.
A method of providing a loading box management platform using a smart electronic scale according to an embodiment of the present invention includes the steps of acquiring weight information and location information of the loading box from a smart electronic scale installed at the bottom of the loading box, and A step of determining a recovery time of an object loaded in the loading box based on weight information, and generating visit information including a movement line to visit the loading box based on location information of the loading box at the retrieval time. can do.

Description

Method, device and program for providing a storage box management platform using a smart electronic scale {METHOD, APPARATUS AND PROGRM FOR PROVING STORAGE BOX MANAGEMENT PLATFORM USING SMART ELECTRONIC SCALE}

One disclosed embodiment relates to a method, device, and program for providing a cargo bin management platform using a smart electronic scale.

Most companies, government offices, or organizations that process documents are equipped with document shredders to protect information. These document shredders have a fixed physical capacity to store shredded documents. Since organizing or collecting document shredders on a regular basis requires manpower and costs, the number of companies hiring document shredding service companies (hereinafter referred to as shredding companies) is increasing. Here, the shredding company performs a service where the contractor places documents to be shredded in a document storage box, and the contractor (shredding company) takes the contents, completes shredding, and reports the shredding results.

On the other hand, since most of the documents being shredded are those with a high security level, the document storage box cannot be opened without permission when a shredding company visits, and there is a problem in that it is difficult to determine the document loading status in the document storage box in real time. For this reason, the shredding company visits periodically (e.g. once every two weeks) and directly checks the condition of the document storage box. However, statistically, even if one shredding collection worker visits an average of 20 locations per day, the frequency of collecting document boxes is only 10% to 30%. In addition, there were many cases where documents could not be collected during a visit, or even if collected, many documents were brought out on a specific day and the document storage box suddenly became full, resulting in complaints being filed.

In order to solve this problem, the disclosed embodiment collects the real-time weight of the loading box and the status of the loading box through a smart electronic scale incorporating IOT (Internet of Things) technology, so that the loaded object is measured based on the collected information. It relates to a method, device, and program for providing a storage bin management platform using a smart electronic scale that generates visit information requiring collection and efficiently manages multiple loading bins.

A method of providing a loading box management platform using a smart electronic scale according to an embodiment of the present invention to solve the above-mentioned problem includes the steps of obtaining weight information of the loading box and location information of the loading box from a smart electronic scale installed at the bottom of the loading box. A visit comprising determining a recovery time of an object loaded in the storage bin based on the acquired weight information of the loading bin, and at the retrieval time, a route for visiting the loading bin based on the location information of the loading bin. It may include the step of generating information.

In addition, status information including at least one of the weight of the loading box, the remaining battery capacity of the smart electronic scale, and the signal status with the smart electronic scale is provided, and according to the user's input, the smart electronic scale is installed by company, region, Providing the status information for each state of the smart electronic scale, and providing the object collection history of the loading box in which the selected smart electronic scale is installed when selecting one of the smart electronic scales for which the status information is provided. It can be included.

In addition, obtaining security information generated based on a result of detecting at least one of shock detection, movement of the loading box, or opening and closing of the door from the smart electronic scale, and obtaining the visit information based on the security information. It may include steps to change or generate warning information.

In addition, transmitting authentication information to the smart electronic scale, obtaining a result of matching the authentication information with an opening/closing signal of the loading bin door from the smart electronic scale, and opening and closing the loading bin door based on the obtained result. Opening and closing may include the step of certifying that the opening and closing is by the manager who manages the loading box.

In addition, the step of determining the recovery time of the object loaded in the loading box includes training an artificial intelligence model, and at least one of the type of the object, user information using the loading box, and previous history of recovering the loaded object. After inputting the data into the artificial intelligence model, it may include predicting the recovery time based on the output value of the artificial intelligence model.

In addition, when the warning information is obtained from the smart electronic scale, determining a manager to be dispatched to the location where the smart electronic scale that transmitted the warning information is located; and determining the location where the smart electronic scale is located through the manager's terminal. It may include a step of transmitting, and a step of obtaining a reason for generating warning information and a resolution result from the manager's terminal.

In addition, the step of generating visit information including the movement line to visit the loading box is a loading capacity of the loading box that is predicted to exceed a preset standard value within a certain period of time, or that is likely to load a large amount of documents on a specific date. It may include a step of selecting and a step of creating a movement route by setting the selected loading boxes as visit targets.

In addition, obtaining weight information of the loading box from the smart electronic scale after the object in the loading box is emptied, adjusting the weight information to zero, and accumulating the weight information of the loading box obtained from the smart electronic scale. It may include steps.

An apparatus for providing a cargo bin management platform using a smart electronic scale according to an embodiment of the present invention to solve the above-described problem includes a memory that stores one or more instructions, and a processor that executes the one or more instructions stored in the memory, The processor may perform a method of providing a cargo bin management platform using a smart electronic scale by executing the one or more instructions.

In order to solve the above-described problem, the program for providing a cargo management platform using a smart electronic scale according to an embodiment of the present invention is combined with a computer as hardware, so that the computer can perform a method of providing a cargo management platform using a smart electronic scale. It can be stored on a readable recording medium.

Other specific details of the invention are included in the detailed description and drawings.

The method, device, and program for providing a cargo bin management platform using a smart electronic scale according to an embodiment of the disclosure collect the real-time weight of the cargo bin and the status of the bin through IOT (Internet Of Things) technology, and the loaded bin is stored based on the collected information. Visit information requiring collection of objects can be generated and multiple storage bins can be managed efficiently.

The disclosed smart electronic scale is provided in the form of a separate module, so it can be applied to various types of embodiments for storing objects that can be loaded, such as a clothing collection box or a public trash can, as well as a document storage box or document shredding box.

In addition, according to the disclosed embodiment, in addition to detecting the weight of the loading box, safe security management can be performed by collecting various information such as whether the door is open or closed, detecting an impact, and whether the loading box is moving.

In addition, the method, device, and program for providing a storage box management platform using a smart electronic scale according to an embodiment of the disclosure are efficient and Accurate dispatch scheduling can be provided.

1 is a diagram of a system including a smart electronic scale according to one embodiment.
Figure 2 is a control block diagram of a smart electronic scale.
Figure 3 is a flowchart for explaining the operation of a smart electronic scale and server according to an embodiment.
Figure 4 is a diagram illustrating a method of providing a cargo bin management platform using a smart electronic scale according to an embodiment of the present invention.
FIG. 5 is a diagram illustrating an example in which the disclosed server generates visit information for arranging recovery personnel and business trip vehicles.
Figure 6 is a flow chart to explain an operation method of changing visit information according to security information.
7 to 12 are exemplary diagrams providing a loading management platform using a smart electronic scale according to an embodiment of the present invention.
Figure 13 is a diagram to explain the operation of the platform service.
Figure 14 is a flowchart of an operation method for collecting information necessary to predict the recovery time through IOT communication technology.

Like reference numerals refer to like elements throughout the specification. This specification does not describe all elements of the embodiments, and general content or overlapping content between the embodiments in the technical field to which the present invention pertains is omitted. The term 'unit, module, member, block' used in the specification may be implemented as software or hardware, and depending on the embodiment, a plurality of 'unit, module, member, block' may be implemented as a single component, or It is also possible for one 'part, module, member, or block' to include multiple components.

Throughout the specification, when a part is said to be “connected” to another part, this includes not only direct connection but also indirect connection, and indirect connection includes connection through a wireless communication network. do.

Additionally, when a part "includes" a certain component, this means that it may further include other components rather than excluding other components, unless specifically stated to the contrary.

Terms such as first and second are used to distinguish one component from another component, and the components are not limited by the above-mentioned terms.

Singular expressions include plural expressions unless the context clearly makes an exception.

The identification code for each step is used for convenience of explanation. The identification code does not explain the order of each step, and each step may be performed differently from the specified order unless a specific order is clearly stated in the context. there is.

Hereinafter, the operating principle and embodiments of the present invention will be described with reference to the attached drawings.

1 is a diagram of a system including a smart electronic scale according to one embodiment.

Referring to FIG. 1, the system 1 according to the disclosed embodiment communicates with a loading box 10 for loading an object, a smart electronic scale 100 that can be installed in the loading box 10, and a smart electronic scale 100. It may include a server 50 that performs.

In the embodiment of Figure 1, the loading box 10 is shown as a document shredding box for shredding documents. However, the disclosed embodiment is not necessarily limited to a document shredding box, and may include forms capable of loading various objects, such as a clothing collection box and a public trash can.

The smart electronic scale 100 may be installed at the bottom of the loading box 10 and detects the weight of the object loaded in the loading box 10. To this end, the smart electronic scale 100 may include a sensor capable of detecting weight, and may include a module 101 that changes the detected weight into data (weight information) and transmits the data. The smart electronic scale 100 transmits the collected weight information to the server 50 through communication.

In various embodiments, the smart electronic scale 100 may be installed inside the loading box 10. That is, the smart electronic scale 100 may be installed at the bottom of the inside of the loading box 10 to measure the weight of the contents loaded inside.

In various embodiments, the smart electronic scale 100 may be separated from the loading box 10. If the smart electronic scale 100 according to an embodiment is provided in a document shredding box, the object detected by the smart electronic scale 100 according to an embodiment is a document to be shredded. If the smart electronic scale 100 is provided in a clothing collection box, the object detected by the smart electronic scale 100 becomes clothing.

In the disclosed embodiment, the module 101 can change various information, such as weight detection as well as impact detection, into data. Additionally, the module 101 may transmit the changed data to the server 50 and a device (20 in FIG. 2) included in a location where the storage box 10 is provided. A detailed description of the various data and communication methods processed by the module 101 of the smart electronic scale 100 will be described later in FIG. 2.

The server 50 determines the collection time to collect the object in the loading box 10 based on the weight information and various data transmitted by the smart electronic scale 100, and collects the object in the loading box 10 based on the determined collection time. Create visit information to proceed with collection. Visit information is generated based on various information such as location information where the loading box 10 is located, the predicted time when the object is fully loaded, the number of personnel to visit, and automatic vehicle dispatch. For example, if there are at least two loading boxes 10 whose collection time has arrived, the server 50 generates an optimal route by connecting the location of each loading box from the area where the vehicle is located, and calculates the expected path from the generated path. Visit information can be generated through arrival time. A specific example of generating dispatch information will be described later with reference to FIG. 5.

Figure 2 is a control block diagram of a smart electronic scale.

Referring to FIG. 2, the smart electronic scale 100 is loaded in the loading box 10, the device 20, the communication unit 110 that communicates with the user terminal 30 and the server 50, and the loading box 10. It includes a weight detection unit 120 that detects the weight of the object, a sensor unit 130 that detects impact, whether the loading box moves, whether the door is opened or closed, and a control unit 140 that controls the above-described configuration.

Specifically, the communication unit 110 may include one or more components that enable communication with an external device, and may include, for example, at least one of a short-range communication module, a wired communication module, and a wireless communication module. In the disclosed embodiment, the external device may include a storage box 10, a device 20, a user terminal 30, or a server 50.

As described above in FIG. 1 , the storage box 10 is a storage box in which objects can be loaded, and may be equipped with a communication device separate from the smart electronic scale 100. If a communication device is provided in the loading box 10, the communication unit 110 of the smart electronic scale 100 can exchange data with the loading box 10 through a wired or short-distance communication device. However, a communication device does not necessarily need to be provided in the loading box 10, and in this case, the smart electronic scale 100 can measure the weight loaded in the loading box 10 and communicate with the server 50, etc.

The device 20 is a device that can be located in a place where the loading box 10 is provided, and refers to a device capable of IOT communication with the smart electronic scale 100. For example, if the smart electronic scale 100 is installed in a general company office, the device 20 may be a home appliance or a computer located in the company's internal office. In particular, the device 20 and the smart electronic scale 100 can be implemented as a communication module for WoT (Web of Thing) technology that can exchange IOT signals, and the device 20 and the smart electronic scale 100 can The gateway communication module can be implemented with NB-IOT.

Meanwhile, the device 20 and the smart electronic scale 100 that perform IOT communication according to the embodiment do not necessarily need to be implemented only as NB-IOT, and may be implemented as modules capable of exchanging data with each other through short-distance communication such as Bluetooth. It may be possible.

The user terminal 30 refers to an electronic device capable of performing short-distance communication or wireless communication with the smart electronic scale 100. The user terminal 30 may be an electronic device carried by the recovery personnel who will collect the object from the loading box 10 according to the visit information. When recovery personnel visit near the loading box 10 for collection, the user terminal 30 can exchange authentication processing for security and recovery processing information regarding the results of recovering the object with the smart electronic scale 100. , the user terminal 30 is capable of wireless communication with the server 50 through an Internet network.

To this end, the user terminal 30 may be implemented as a computer or portable terminal that can connect to the smart electronic scale 100 or the server 50 through a network. Here, the computer includes, for example, a laptop equipped with a web browser, a laptop, a tablet PC (Personnel Computer), a slate PC, etc., and the portable terminal, for example, ensures portability and mobility. As a wireless communication device, PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication) - 2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), WiBro (Wireless Broadband Internet) terminal, smart phone, etc., all types of handheld-based It may include wireless communication devices and wearable devices such as watches, rings, bracelets, anklets, necklaces, glasses, contact lenses, or head-mounted-devices (HMDs).

The server 50 may be a cloud server for performing the disclosed platform service.

Specifically, the server 50 collects and processes weight information and various other information from the smart electronic scale 100, and generates collection time and visit information generated as a result of the processing.

The server 50 collects weight information detected by the plurality of smart electronic scales 100 in real time and processes it. For example, the server 50 may perform data processing or bulk processing to accumulate weight information based on the location information or serial numbers of a plurality of smart electronic scales 100.

The server 50 can store the artificial intelligence model and learn the artificial intelligence model based on the collected data. The server 50 can predict when objects accumulate to 70% to 90% of the total capacity of the loading box 10 using the learned artificial intelligence model. Specifically, the server 50 may use at least one of the type of object, user information (company information) using the loading box 10, and previous history of retrieving the loaded object as input values for the artificial intelligence model. The server 50 can calculate the recovery time using the output value of the artificial intelligence model, and based on the calculated recovery time, the visit time of the loading box 10 where the smart electronic scale 100 is located and the personnel to perform the recovery can be set. . Meanwhile, the reference value such as 70% to 90% that determines whether to recover or not and the information on the input value input to the artificial intelligence model are only examples and can be changed in various ways.

The server 50 transmits the generated visit information and recovery time to the user terminal 30, and the recovery personnel provides visit information of the location where the smart electronic scale 100 to recover the object is located through the user terminal 30. Or, make it possible to check the recovery time.

The server 50 may control the smart electronic scale 100 so that it cannot collect an object from the storage bin 10 without authentication from the user terminal 30 . For example, the server 50 may transmit authentication information to the smart electronic scale 100 in advance. The smart electronic scale 100, which has received the authentication information, can transmit security information to the server 50 when the door is opened or an impact is detected without authentication from the user terminal 30. For example, an unauthorized user terminal 30 may perform authentication or a sudden shock may be applied to the loading box 10 . In this case, the smart electronic scale 100 generates security information. The server 50 may generate warning information based on the transmitted security information and deliver it to the manager, or change visit information based on the recovery time so that the recovery personnel immediately visits the location of the loading box 10.

Meanwhile, the server 50 and the smart electronic scale 100 will be described below as providing the disclosed platform service, but providing the platform service is not necessarily limited to the above-mentioned devices. For example, if the device corresponding to the embodiment of the user terminal 30 described above is implemented with a large-capacity processor and memory that can be processed by the server 50, the user terminal 30 may operate as the server 50. Also, the launched platform service can be executed while communicating with the smart electronic scale 100.

Again, as a description of the configuration of the smart electronic scale 100, the communication unit 110 can communicate with the above-described storage box 10, device 20, user terminal 30, and server 50. To this end, the communication unit 110 may include at least one of a short-range communication module, a wired communication module, or a wireless communication module.

The short-range communication module transmits signals using a wireless communication network at a short distance, such as a Bluetooth module, infrared communication module, RFID (Radio Frequency Identification) communication module, WLAN (Wireless Local Access Network) communication module, NFC communication module, and Zigbee communication module. It may include various short-range communication modules that transmit and receive.

Wired communication modules include various wired communication modules such as Local Area Network (LAN) modules, Wide Area Network (WAN) modules, or Value Added Network (VAN) modules, as well as USB (Universal Serial Bus) modules. , may include various cable communication modules such as High Definition Multimedia Interface (HDMI), Digital Visual Interface (DVI), recommended standard 232 (RS-232), power line communication, or plain old telephone service (POTS).

In addition to Wi-Fi modules and WiBro (Wireless broadband) modules, wireless communication modules include GSM (global System for Mobile Communication), CDMA (Code Division Multiple Access), WCDMA (Wideband Code Division Multiple Access), and UMTS (universal mobile telecommunications system). ), TDMA (Time Division Multiple Access), LTE (Long Term Evolution), and 5G may include a wireless communication module that supports various wireless communication methods.

The weight sensing unit 120 is a load cell that can be provided at the bottom of the plate of the smart electronic scale 100, and the plate converts the pressure applied by the object into an electrical signal. The weight sensor 120 may be implemented with various sensors capable of measuring pressure, and may vary depending on the type of object stored in the storage box 10.

The weight sensing unit 120 amplifies the measured pressure, converts it into an electrical signal, and transmits it to the control unit 140.

The sensor unit 130 may include a magnetic sensor 131, an acceleration sensor 132, a gyro sensor 133, etc.

Specifically, the magnetic sensor 131 may refer to a magnetic door sensor. If the smart electronic scale 100 cannot be installed on the door of the loading box 10, a magnetic sensor 131 may be attached to the door of the loading box 10. The electrical signal generated by the magnetic sensor 131 depending on whether the door is open or closed is transmitted to the control unit 140. Through this, the control unit 140 can determine whether the door of the loading box 10 is open or closed.

The acceleration sensor 132 is a sensor that can determine whether the loading box 10 is moving. The acceleration sensor 132 may be provided inside the smart electronic scale 100 or in the loading box 10, and can detect the movement of the loading box 10 that is changed by an impact or physical force applied to the loading box 10 from the outside. It can be detected. The acceleration sensor 132 converts the degree of change in the proof mass and spring provided inside into an electrical signal and then transmits the electrical signal to the control unit 140.

The gyro sensor 133 can also be used as a sensor to measure shock or movement of the loading box 10, and converts the Coriolis Force generated by the rotational movement of the loading box 10 into an electrical signal. The gyro sensor 133 transmits the converted electrical signal to the control unit 140.

The sensor unit 130 may further include various sensors in addition to the magnetic sensor 131, acceleration sensor 132, or gyro sensor 133 described above, and may detect an impact of the loading box 10 and whether the loading box 10 is moving. Alternatively, it may further include various sensors that can detect whether the door is open or closed.

The control unit 140 controls the overall smart electronic scale 100.

The control unit 140 stores weight information of the object detected by the weight sensing unit 120. If a change in weight information is detected, the control unit 140 transmits the changed weight information to the server 50 through the communication unit 110. Here, the control unit 140 transmits the location information of the smart electronic scale 100 along with the weight information so that the server 50 can distinguish the smart electronic scale 100.

The control unit 140 generates security information based on the detection result of the sensor unit 130. Here, the security information refers to information about whether there is an abnormality detected in the loading box 10. When the data transmitted by the sensor unit 130 exceeds a preset standard, the control unit 140 generates security information. The control unit 140 transmits the generated security information to the server 50 through the communication unit 110.

The control unit 140 may store authentication information received from the server 50 in advance. The recovery personnel may transmit authentication information to the control unit 140 through the user terminal 30 in order to recover the object. The control unit 140 compares the authentication information transmitted by the user terminal 30 with pre-stored authentication information. If the authentication information matches, the control unit 140 does not generate the above-described security information. When the object in the loading box 10 is emptied, the control unit 140 transmits the newly detected result by the weight detection unit 120 to the server 50. The server 50 may generate a result of object collection in the loading box 10 based on weight information collected from the smart electronic scale 100.

The control unit 140 has a memory (not shown) that stores data for an algorithm for controlling the operation of components in the smart electronic scale 100 or a program that reproduces the algorithm, and performs the above-described operations using the data stored in the memory. It can be implemented with a processor (not shown) that performs. At this time, the memory and processor may each be implemented as separate chips. Alternatively, the memory and processor may be implemented as a single chip.

In addition to the components described above in FIG. 2, the smart electronic scale 100 may further include components necessary for operations described later. For example, the smart electronic scale 100 may further include a power supply unit (not shown) that provides power required for each component, and is not limited to the arrangement of the components shown in FIG. 2.

Figure 3 is a flowchart for explaining the operation of a smart electronic scale and server according to an embodiment.

Referring to FIG. 3, the smart electronic scale 100 detects weight (200).

Specifically, the smart electronic scale 100 may be provided at the bottom of the loading box 10, and the weight sensing unit 120 detects the weight of the object loaded on the plate. However, the smart electronic scale 100 is not necessarily located only at the bottom of the loading box 10, and may be provided in various locations.

The smart electronic scale 100 transmits weight information and location information of the loading box 10 to the server 50 (201).

The smart electronic scale 100 can transmit weight information that changes in real time to the server 50 through the communication unit 110, and the communication method according to an example can be performed through NB-IOT communication.

The server 50 classifies and accumulates weight information (210).

The server 50 collects weight information transmitted by the smart electronic scale 100 in real time and classifies it by location information. Additionally, the server 50 can classify/organize and store the accumulated weight information of the smart electronic scale 100 in a graph, etc.

The server 50 determines the time to retrieve the object loaded in the storage box 10 (211).

The method of determining the recovery time can be determined by whether the accumulated weight information is more than a preset standard value, and various predictions can be made based on the type of object, type of company, etc. through an artificial intelligence model.

The server 50 generates visit information according to scheduling (212).

Scheduling refers to the task of arranging recovery personnel and business vehicles that can travel, excluding the business trip vehicle 51 already assigned at the time of recovery. In addition, the visit information may include movement route and dispatch information so that the recovery personnel can visit according to the date or time included in the recovery period.

The server 50 transmits visit information to the user terminal 30 (213).

As described above, the user terminal 30 is a user terminal 30 carried by the recovery personnel, and the recovery personnel confirm visit information through the user terminal 30 and determine the location of the smart electronic scale 100. You can check it.

When a visit is made, the server 50 receives authentication information performed by the user terminal 30 and the smart electronic scale 100 (220).

When the server 50 transmits visit information to the user terminal 30 in step 213, the server 50 also transmits authentication information to the user terminal 30. Authentication information is authentication information stored by the smart electronic scale 100 of the loading box 10 that needs to be recovered, and the authentication information is required before the user terminal 30 opens the door of the loading box 10. When the user terminal 30 exchanges authentication information with the smart electronic scale 100 through short-distance communication, the performed authentication result may be transmitted to the server 50. The server 50 can monitor whether the recovery personnel is currently visiting the smart electronic scale 100 by receiving authentication information received on the date included in the visit information.

The server 50 receives recovery processing information (221).

The recovery processing information refers to information input to the user terminal 30 after the recovery personnel collects the object from the loading box, and the recovery processing information can be collected through the user terminal 30 or the smart electronic scale 100. there is.

The server 50 and the smart electronic scale 100 reset the weight information (222).

Specifically, after the object is emptied, the smart electronic scale 100 may operate the weight detection unit 120 again to detect the weight of the loading box and transmit the weight detection result to the server 50. The server 50 also resets the accumulated weight information and prepares to receive weight information from the smart electronic scale 100 again.

The server 50 generates a result of object collection in the storage bin 10 (223).

Here, the object collection result is information for reporting the result to the manager and includes collection information and reset and newly measured weight information. In addition, the object collection results may include the collection time and information on the personnel performing the collection, and include various information and forms that allow the manager to easily judge the collection results.

The server 50 outputs the generated object collection result to the display (224).

Outputting to a display is just one example of outputting the object collection results to the manager, and various embodiments are possible, such as transmitting them to the manager's user terminal.

Figure 4 is a diagram illustrating a method of providing a cargo bin management platform using a smart electronic scale according to an embodiment of the present invention.

Referring to FIG. 4 , the server 50 may obtain weight information of the loading box 10 and location information of the loading box 10 from the smart electronic scale 100 (500). The smart electronic scale 100 may transmit weight information and location information of the loading box 10 to the server 50 through the communication unit 110. At this time, the smart electronic scale 100 may measure the weight of the loading box at preset time intervals and transmit the measured weight information to the server 50. Meanwhile, as the smart electronic scale 100 is installed at the bottom of the loading box 10, the weight of the loading box 10 can be measured continuously. In this case, the smart electronic scale 100 measures only at preset time intervals. Weight information of the loading box 10 can be transmitted to the server 50. In addition, the smart electronic scale 100 may operate in power saving mode when there is no change in the weight of the loading box 10 and switch to normal mode to measure the weight of the loading box 10 when there is a change in the weight.

The server 50 may determine the time to retrieve the object loaded in the storage box 10 based on the obtained weight information of the storage box 10 (510).

As described above, the server 50 can predict when object death will accumulate to 70% to 90% of the total capacity of the loading box 10 using an artificial intelligence model.

At the time of collection, the server 50 may generate visit information including a route for visiting the storage box 10 based on the location information of the storage box 10 (520). A specific method of generating visit information will be explained with reference to FIG. 5.

Figure 5 is a diagram for explaining an example in which the disclosed server generates visit information for arranging recovery personnel and business trip vehicles.

Referring to FIG. 5, the server 50 may generate visit information for a plurality of smart electronic scales 100. Specifically, the platform service 150 can deploy management personnel 52 and business trip vehicles 51.

According to one embodiment, the server 50 can manage four smart electronic scales 102 to 105. If the first smart electronic scale 102 generates warning information and transmits it to the server 50, the server 50 dispatches management personnel to the location where the first smart electronic scale 102 is located. (52) can be placed. The server 50 generates visit information and transmits the visit information to the user terminal 30 owned by the management personnel 52. Management personnel 52 may dispatch to the area where the first smart electronic scale 102 is located and investigate the reason why the warning information was generated.

The server 50 may provide the user terminal 30 with instructions to write the reason why the warning information was generated and the solution result, and record the reason why the warning information was generated and the solution result in the history of the corresponding smart electronic scale 100. You can save it like this.

Additionally, the server 50 may collect weight information from the second smart electronic scale 103 to the fourth smart electronic scale 105, respectively. Based on the weight information of the second smart electronic scale 103, the server 50 may determine that the object is loaded in 88% of the capacity of the loading box 10 where the second smart electronic scale 103 is installed. In addition, the server 50 stores an object equal to 20% of the capacity of the storage box 10 equipped with the third smart electronic scale 104 and 99% of the capacity of the storage box 10 equipped with the fourth smart electronic scale 105. It can be determined that the object is loaded by %. The server 50 may determine that it is necessary to retrieve the second smart electronic scale 103 and the fourth smart electronic scale 105 whose loading level based on weight information is greater than or equal to the reference value. The server 50 displays the movement line 53 of the business trip vehicle 51 based on the location information of the second smart electronic scale 103 and the fourth smart electronic scale 105 and the current location of the business trip vehicle 51, as shown in FIG. 5 It can be created like this: Additionally, the server 50 may generate dispatch information by designating at least one vehicle among the business trip vehicles 51 that are currently waiting.

In one embodiment, the server 50 can predict the loading amount of each storage box 10 for a certain period of time (e.g., one week) in the future on a daily basis, and create a dispatch schedule for a certain period of time based on this.

In one embodiment, when creating a future dispatch schedule, the server 50 selects a loading box where the loading amount within a certain period is predicted to exceed a preset standard value or where a large amount of documents are likely to be loaded on a specific date as candidate visit targets. You can add it to the list. For example, the server 50 creates a movement route by setting the loading boxes as visit targets for which the loading capacity is expected to exceed the preset standard value after 3 days, but predicts that the loading capacity will exceed the preset standard value after 4 or 5 days. Expected loading bins, and loading bins that are likely to load a large amount of documents in 3 days (for example, if there is a loading bin that intermittently loads large amounts of documents every Wednesday, there is no need to visit the loading bin every Wednesday, but The route can be planned keeping in mind the possibility of documents being loaded) can be added to the list of candidate visit destinations. For example, a loading bin that was expected to exceed the preset standard value after 4 days may have a loading capacity that exceeds the preset standard value a day earlier than expected, or a loading bin may suddenly load a large amount of documents after 3 days.

A separate spare vehicle is provided to visit these unscheduled loading bins. The spare vehicle is configured to visit loading bins that need to be collected suddenly, and the regular vehicle can visit a predetermined route every day based on the expected load volume. .

However, rather than covering all exceptional cases only with the spare vehicle, the regular vehicle will also be used for expected exceptional cases (e.g., as described above, the load exceeds the preset standard a day early, a large amount of documents are loaded sooner than expected, It may be more efficient to configure it so that it can be visited in the middle (if it is judged that there is a possibility of loading a large amount of documents, but a large amount of documents are actually loaded).

In this case, the movement route on that day may be composed of the optimal movement route including the target loading compartment and the candidate loading dock. However, the vehicle is assigned only candidate loading boxes that are located within a preset range or distance from the loading boxes to be visited, and including candidate loading boxes can prevent the movement line from becoming significantly longer or inefficient.

Afterwards, the vehicle moves according to the movement line 53, but if the candidate loading box does not exceed the preset loading capacity by a preset time (e.g., when arriving at the loading box location just before visiting the candidate loading box, or the departure time on the same day), the server (50) can exclude the corresponding candidate loading box from the movement route (53) and reconstruct the movement route (53).

Through this, the vehicle moves along a route that can prepare for an unexpected event, but can also efficiently change the route according to real-time load.

In another embodiment, when a loading box suddenly occurs where the load exceeds a preset standard value, a vehicle that can visit the loading box may be determined and the movement route of the vehicle may be adjusted.

A vehicle that can visit the loading box may mean a vehicle located within a preset distance from the loading box, or a vehicle whose movement line does not change significantly even when visiting the loading box. Alternatively, since at least one of the loading bins scheduled to be visited on that date does not reach the preset loading capacity, a vehicle with a reduced number of loading bins to visit may be selected to visit the loading bin.

The visit information including the generated movement route 53 and dispatch information is transmitted to the user terminal 30, and the business trip vehicle 51 driven by the recovery personnel can collect the object while moving along the movement route.

Meanwhile, the example described in FIG. 5 is only an example for explaining the server 50 according to visit information, and various modifications are possible.

Figure 6 is a flowchart explaining an operation method of changing visit information according to security information.

Referring to FIG. 6, the smart electronic scale 100 can detect and collect security-related events through the sensor unit 130.

Specifically, the smart electronic scale 100 determines whether the door is open or closed (300).

Whether the door is opened or closed can be detected by the magnetic sensor 131, and security information can be generated for the door that is opened without processing authentication information (310). In another embodiment, whether the door is opened or closed may be determined based on the impact applied to the loading box 10 (i.e., shaking or impact due to door opening and closing).

If there is no door opening or closing, the smart electronic scale 100 determines whether the loading box 10 has been forcibly moved or detects an impact (301, 302).

The movement or impact of the loading box 10 can be detected by the acceleration sensor 132 or the gyro sensor 133, and when movement exceeding a preset reference value is detected, the smart electronic scale 100 moves the loading box (100). 10) can be judged to have moved or an impact has been detected.

If movement or impact of the loading box 10 is detected, the smart electronic scale 100 generates security information (310).

Security information includes the types of security-related matters such as door opening and closing, whether the loading box 10 moves, and shock detection, and may include occurrence time and location information of the loading box 10.

The smart electronic scale 100 transmits security information to the server 50 (320).

The smart electronic scale 100 can transmit the generated security information to the server 50 in real time and transmit the security information to the server 50 through NB-IOT communication.

The server 50 changes visit information based on the security information (330).

Specifically, when security information is received, the server 50 may generate warning information based on the security information. Warning information is a message that allows the administrator to check the smart electronic scale 100 where an event occurred. Additionally, the server 50 may change pre-scheduled visit information in addition to generating warning information. For example, before an event occurs, the server 50 may predict the recovery time of the smart electronic scale 100 in advance based on the weight information of the loading box 10 and generate visit information. When an event occurs, the server 50 may change the pre-set visit information to have management personnel visit the smart electronic scale 100 and also instruct them to collect the object.

7 to 12 are exemplary diagrams providing a loading management platform using a smart electronic scale according to an embodiment of the present invention.

Referring to FIGS. 7 to 12 , the server 50 according to an embodiment of the present invention can provide a storage bin management platform (hereinafter referred to as platform) using the smart electronic scale 100.

The user can access the platform through the user terminal 30, and the platform can be installed and used as an application on the user terminal 30, but is not limited to this.

The server 50 provides status information including at least one of the weight of the loading box 10, the remaining battery capacity of the smart electronic scale 100, and the signal status of the smart electronic scale 100 to the user through the user terminal 30. can do. The server 50 may provide status information for each company where the smart electronic scale 100 is installed, each region, and the status of the smart electronic scale 100 according to the user's input. For example, the server 50 may provide each list where status information can be checked by company, region, and status, and may provide status information according to the list selected by the user. For example, when the user selects a list by company, the server 50 may display status information of the smart electronic scale 100 by company. For example, if there are four smart electronic scales 100 installed at a first company, status information for each of the four scales may be displayed. The server 50 may provide an instruction to select the smart electronic scale 100 to be displayed as the main, and provide status information of the smart electronic scale 100 selected according to the user's input obtained according to the instruction as the main. In addition, status information of other smart electronic scales 100 can be displayed by dragging, or status information of each smart electronic scale 100 can be displayed by scrolling the window.

As another example, when the user selects a list by region, the server 50 may display status information of the smart electronic scale 100 for each preset region. Regions may be set on a dong basis, but are not limited to this. For example, status information of the smart electronic scale 100 installed within the area selected by the user may be displayed. At this time, there may be a number of companies that have installed the smart electronic scale 100 in the area selected by the user, and each of the companies may have a plurality of smart electronic scales. Accordingly, when displaying status information by region, the server 50 may display a company located in the region, and when the company is selected, a list of smart electronic scales 100 for each company may be displayed. The server 50 may provide status information about the smart electronic scale 100 selected by the user from the list of smart electronic scales 100 provided to the user.

Additionally, the server 50 may display on a map the location where the smart electronic scale 100 is installed within the regional range selected by the user. Meanwhile, if multiple smart electronic scales 100 are installed in one company, multiple smart electronic scales 100 may need to be displayed at the same location on the map. In this case, the server 50 may display one icon, and when the icon is pressed, a list of a plurality of smart electronic scales 100 installed at that location may be displayed. Additionally, the server 50 may display overlapping icons equal to the number of smart electronic scales 100 installed, or may display one icon and display the number of smart electronic scales 100 installed.

Additionally, the server 50 may display an inspection icon for a smart electronic scale 100 that requires inspection among the smart electronic scales 100 displayed on the user terminal 30 according to the user's input. For example, if the loading capacity of the loading box is greater than the preset loading amount, the icon displayed on the corresponding smart electronic scale may be an icon that the loading capacity of the loading box is full. The icon of the smart electronic scale 100 that requires inspection may be set differently depending on the purpose for which inspection is required. Rather than setting a separate icon, the icon color may be changed and displayed, or an icon indicating that inspection is required may be displayed. , When the corresponding smart electronic scale 100 is selected, the purpose for which inspection is required may be guided. Here, the purpose requiring inspection may include at least one of the weight of the loading box 10, the remaining battery capacity of the smart electronic scale 100, and the signal state of the smart electronic scale 100, but is not limited thereto.

The server 50 may provide a history of object collection from the storage bin 10 where the smart electronic scale 100 selected by the user is installed. For example, the date and time when the door of the loading box was opened to empty the loading box, the date and time when the loading box was emptied and the weight was reset, the date and time when the weight information of the loading box was transmitted, and the history of the weight information may be provided. . Additionally, the server 50 may provide the user with a history of the creation of security information and a history of visits by the administrator according to the security information so that they can be checked.

According to an embodiment of the present invention, the server 50 may transmit authentication information to the smart electronic scale 100. Authentication information is information about the manager to be visited and may include, but is not limited to, the manager's ID, information about the manager's terminal, and the unique ID of each smart electronic scale. Authentication information may be received and stored by the administrator from the server 50 before the visit, or may be stored in advance when installing the smart electronic scale 100. In this case, the information can be updated through periodic updates.

The server 50 can obtain authentication information from the smart electronic scale 100 and a result corresponding to the open/close signal of the loading box door. When the manager arrives at the location where the loading box is installed to empty the loading box, the manager may transmit a door opening/closing signal through the user terminal 30. The server 50 can provide an instruction for transmitting a door opening/closing signal, and the user can transmit a door opening/closing signal according to the instruction. The door opening/closing signal may include the manager's ID and information about the manager's terminal, and the smart electronic scale 100 can match the previously received authentication information with the door opening/closing signal and transmit the corresponding result to the server. there is.

Meanwhile, the smart electronic scale 100 is described as transmitting the results of the authentication information and the door opening/closing signal to the server 50, but the authentication information and the door opening/closing signal are transmitted from the smart electronic scale 100 to the server 50. ) may also be able to receive it again and correspond to the authentication information and the door opening/closing signal in the server 50.

Based on the obtained results, the server 50 may authenticate that the opening and closing of the loading compartment door was caused by the manager managing the loading compartment. In other words, it is possible to prevent other outsiders from trying to open and close the loading box by authenticating the manager before opening and closing the door of the loading box and then opening and closing the door of the loading box. In other words, if an attempt is made to open or close the loading box without authentication, it can be determined that it was done by an outsider and security information can be generated.

Additionally, the server 50 can open and close the door within a preset time after authentication is completed, allowing the manager to arrive at the location where the storage box is installed, complete authentication, and open and close the storage box within a short period of time. Through this, it is possible to prevent outsiders from collecting loaded objects during the time leading up to the visit after the manager completes authentication in advance before the visit.

Additionally, if the server 50 determines that the location of the user terminal included in the authentication information is near the loading dock, the server 50 may complete authentication without a separate signal. For example, if the manager's terminal is registered and the manager visits to collect an object loaded in the storage bin, the server 30 may determine that the manager's terminal is near the storage bin. In other words, when a registered terminal enters the signal range of a storage bin, security information may not be generated even if the administrator opens or closes the door of the storage bin without separate authentication.

The server 50 according to an embodiment of the present invention may obtain weight information of the loading box 10 from the smart electronic scale 100 after the object in the loading box 10 is emptied. When the loading box 10 is completely empty, the smart electronic scale 100 can only measure the weight of the loading box 10, and the server 50 can obtain the weight of the loading box 100.

The server 50 may adjust the acquired weight information to zero. That is, the weight corresponding to the weight of the storage box 10 can be adjusted to zero, so that only the weight of the object loaded into the storage box 10 can be managed.

The server 50 may accumulate weight information of the loading box 10 obtained from the smart electronic scale 100. The server 50 may accumulate and store weight information of the loading box 10 obtained at regular time intervals. Accordingly, it may be possible to determine the weight of the object loaded at each time interval.

Meanwhile, the smart electronic scale 100 can transmit the combined weight of the loading box 10 and the weight of the objects loaded in the loading box, and the server 50 can calculate and accumulate only the weight of the object according to zero point adjustment. For example, if the weight of the loading box 10 is 30 kg, after zero adjustment, 30 kg can be calculated as 0 kg and 31 kg as 1 kg, and if weight information of 50 kg is obtained from the smart electronic scale 100, the smart electronic scale (100) can accumulate and store 20 kg as the weight of the object.

Figure 13 is a diagram to explain the operation of the platform service.

Referring to FIG. 13, the disclosed platform service 150 is an IOT-based security control electronic scale integrated platform and can be operated by the server 50. The platform service 150 can be implemented using WOT communication technology and generates/transmits weight information, security information, warning information, etc. to clients (hereinafter referred to as users) using the storage box 10. In addition, the platform service 150 communicates with the business trip vehicle/security vehicle 51 (see FIG. 5) and recovery personnel, and can instruct the business trip vehicle/security vehicle 51 and recovery personnel to collect and manage the object. there is.

Specifically, the services provided by the platform service 150 can be divided into a monitoring control system 151 and a mobile security system 152.

The monitoring control system 151 is a service for managing the smart electronic scale 100, and can be subdivided into integrated control 160 or common management 165.

The platform service 150 that performs integrated control 160 can monitor unexpected situations, weight measurement, and system resources. As described above, the platform service 150 can collect sensing information such as weight information and impact detection in real time from the smart electronic scale 100 provided in the loading box 10, and monitor the collected information. Additionally, the platform service 150 can perform system resource monitoring to collect location information in real time to manage a plurality of smart electronic scales 100.

The platform service 150, which performs common management 165, manages the recovery personnel and users who receive platform services. The platform service 150 performs automatic task assignment, remote management of security devices, and civil complaint management. Perform. Specifically, automatic task assignment is the task of assigning recovery personnel or management personnel who manage a plurality of smart electronic scales 100 to each region, and remote management of security devices is a variety of services for the security of smart electronic scales 100. Complaint management means collecting user complaints, connecting them to an after-sales service center or counselor, and managing them.

The mobile security system 152 is a service related to the user terminal 30 used by recovery personnel, and may be referred to as task management 170.

As a detailed service for business management 170, the platform service 150 can perform device authentication management, agency emergency notification, security module release, civil complaint processing/management, visit schedule management, and push management. Specifically, device authentication management is related to authentication information stored by the smart electronic scale 100, and is a service that classifies/specifies the security information of each smart electronic scale 100 and generates a password necessary for the security information. Institutional emergency notification and security module release monitor the authentication process performed when the user terminal 30 retrieves the object, and civil complaint processing/management and visit schedule management are based on unauthorized user terminal or sudden warning information. This refers to a service that dispatches management personnel. Push alarm is a service that delivers warning information to the user's device 20 or the user.

Aggregation management (153) can be subdivided into large-capacity signal processing, data processing, large-capacity processing, and system linkage processing, and collects and codes various information collected from a plurality of smart electronic scales (100) and business trip vehicles (51). It means to do. This data processing and processing may generally include processing performed by a cloud server.

The algorithm engine 154 is a service related to AI (Artificial Intelligence) that performs judgment processes such as movement detection recognition, visit prediction, shock detection, and opening/closing situation recognition. Specifically, the platform service 150 must detect impact and determine the weight of the object through the data collected by the weight detection unit 120 and the sensor unit 130, and generates/stores the reference values and algorithms necessary for the judgment process. . In addition, the algorithm engine 154 can learn algorithms that implement various artificial intelligence models, and can predict when more than 90% of the object is loaded using the learned algorithm.

In one embodiment, the algorithm engine 154 may predict the loading time using a rule base algorithm or a machine learning algorithm. For example, if it is determined that documents are loaded in a certain loading box in a certain pattern based on the existing history, the document loading speed of that loading box can be calculated. Regression analysis (e.g., linear regression analysis) may be used in the process of calculating document loading speed, but is not limited to this, and the average of daily document loading over a certain period of time may also be used.

As another example, if it is determined based on the existing history that a large amount of documents are loaded into a specific loading bin on a specific day (e.g. Monday), dispatch is scheduled for that day or the next day, or the average loading amount for each day of the week is calculated to determine the number of documents. Loading status can be analyzed. For example, if it is determined that 10% of the loading capacity is loaded on Monday and 1% of the loading capacity on other days of the week, the expected loading capacity can be predicted based on this.

Meanwhile, the artificial intelligence model used in the disclosed platform service 150 may use various artificial neural networks such as DFN (Deep Feedforward Network), RNN (Recurrent Neural Network), LSTM (Long Short-Term Memory), or Autoencoder, and the necessary information It may include various algorithms used to predict.

The platform service 150 can provide services for IOT device management 155, and can be divided into device management, authentication management, data cycle management, and security management in detail. That is, the platform service 150 can store/manage the serial number or location information of the hardware device required for the four items described above.

DB management 156 is space management for storing various collected information and permanently stores the data.

The platform service 150 according to the disclosed embodiment can be implemented with the Blue 9 framework to provide the various services described above, and the classes and libraries for implementing this include data security processing, data processing, linkage integration, and deployment. It can be divided into processing, common base, certification management, etc. Meanwhile, the disclosed platform service is not necessarily limited to being implemented with the Blue 9 framework, and may be changed to various frameworks.

Figure 14 is a flowchart of an operation method for collecting information necessary to predict the recovery time through IOT communication technology.

Referring to FIG. 14, the smart electronic scale 100 and the device 20 perform communication (400).

Specifically, the smart electronic scale 100 can perform IOT communication with the device 20 around the loading box 10 provided. However, for security purposes, the smart electronic scale 100 may communicate with the authorized device 20 according to authentication information.

The server 50 collects information about the type of object loaded into the storage bin 10 (410).

For example, the loading box 10 may be a chemical collection box provided in a research complex. The server 50 transmits authentication information to the smart electronic scale 100, and the smart electronic scale 100 can perform IOT communication with other devices 20 provided in the laboratory through authentication. When a user performing an experiment using the device 20 inputs the type of object, the smart electronic scale 100 receives the type of object from the device 20. The smart electronic scale 100 transmits information about the type of object to the server 50.

The server 50 inputs the type of object, etc. into the learned artificial intelligence model (420).

As described above in FIG. 1, etc., the server 50 may pre-train an artificial intelligence model necessary for predicting the recovery time and store the learned artificial intelligence model.

When the type of object, etc. is received from the smart electronic scale 100, the server 50 inputs the type of object, user information, and previous history of recovering the loaded object into the pre-trained artificial intelligence model and inputs the artificial intelligence model as an artificial intelligence value. Enter it into the intelligence model.

The server 50 predicts the recovery time based on the output value of the artificial intelligence model (430).

Since the learned artificial intelligence model can be trained to determine the prediction time based on the output value, the server 50 can use the output value of the artificial intelligence model as the recovery time or request confirmation from the administrator.

The server 50 generates visit information according to scheduling (440).

As described in the previous drawing, the server 50 generates visit information of the recovery personnel based on the predicted recovery time. The system including the smart electronic scale and the platform service using the system disclosed through this can efficiently manage multiple storage bins by predicting the collection time of various objects and generating necessary visit information.

1: System 10: Loading bin
20: device 30: user terminal
50: Server 100: Smart electronic scale
110: Communication unit 120: Weight detection unit
130: sensor unit 150: control unit

Claims (10)

In a method performed by a computing device,
Obtaining weight information of the loading box and location information of the loading box from a smart electronic scale installed at the bottom of the loading box;
determining a recovery time of the object loaded in the loading box based on the obtained weight information of the loading box; and
At the time of collection, generating visit information including a route to visit the loading bin based on the location information of the loading bin. A method of providing a loading bin management platform using a smart electronic scale, including a step. According to paragraph 1,
Provides status information including at least one of the weight of the loading box, the remaining battery capacity of the smart electronic scale, and the signal status with the smart electronic scale, but according to the user's input, the smart electronic scale is installed by company, region, and the smart scale. providing the status information for each status of the electronic scale; and
When selecting one of the smart electronic scales for which the status information is provided, providing an object collection history of the loading bin in which the selected smart electronic scale is installed; A method of providing a loading bin management platform using a smart electronic scale, including. According to paragraph 1,
Obtaining security information generated based on the result of detecting at least one of shock detection, movement of the loading box, and opening/closing of the door from the smart electronic scale;
A method of providing a storage bin management platform using a smart electronic scale, including the step of changing the visit information or generating warning information based on the security information. According to paragraph 1,
Transmitting authentication information to the smart electronic scale;
Obtaining a result of correlating the authentication information with an opening/closing signal of the loading compartment door from the smart electronic scale;
Based on the obtained results, certifying that the opening and closing of the loading compartment door was performed by a manager managing the loading compartment; Method for providing a cargo bin management platform using a smart electronic scale, including. According to paragraph 1,
The step of determining the recovery time of the object loaded in the loading box,
Learning an artificial intelligence model; and
Inputting at least one of the type of the object, user information using the loading box, and previous history of recovering the loaded object into the artificial intelligence model, and then predicting the recovery time based on the output value of the artificial intelligence model; Method for providing a cargo bin management platform using a smart electronic scale, including. According to paragraph 1,
When the warning information is obtained from the smart electronic scale, determining a manager to be dispatched to the location where the smart electronic scale that transmitted the warning information is located;
Transmitting a location where the smart electronic scale is located to the manager's terminal; and
A method of providing a storage management platform using a smart electronic scale, comprising: obtaining a reason for generating warning information and a resolution result from the manager's terminal. According to paragraph 1,
The step of generating visit information including the route to visit the loading box,
A step of selecting a loading bin in which the loading capacity of the loading bin is expected to exceed a preset standard value within a certain period of time or in which a large amount of documents are likely to be loaded on a specific date;
A method of providing a loading bin management platform using a smart electronic scale, including the step of setting selected loading bins as visit targets and creating a movement route. According to paragraph 1,
Obtaining weight information of the loading box from the smart electronic scale after the object in the loading box is emptied;
adjusting the weight information to zero;
A method of providing a storage bin management platform using a smart electronic scale, comprising: accumulating weight information of the loading bin obtained from the smart electronic scale. A memory that stores one or more instructions; and
A processor executing the one or more instructions stored in the memory,
The processor executes the one or more instructions,
An apparatus for performing the method of claim 1. A computer program combined with a computer as hardware and stored on a computer-readable recording medium so as to perform the method of claim 1.