KR20170003917U - Logistic management system with drone - Google Patents

Abstract

The purpose of this design is to provide a more systematic and cost effective way to manage such warehouse logistics management.
According to the above object, the present invention provides a logistics management system for acquiring and managing images of warehouses using warehouses.
That is, in the present invention, the camera and the GPS are mounted on the drones to patrol the yard, while the images taken by the drones are received by the manager computer terminal in real time to acquire the logistics information such as the position of the articles, And provides a logistics management system that can manage the logistics.
To accomplish this, the present invention acquires the image of the entire yard by the drone, then grasps the distribution of the logistics, and establishes an effective flight path of the dron to make the yard full circle.

Description

[0001] LOGISTIC MANAGEMENT SYSTEM WITH DRONE [0002]

The present invention relates to a warehouse logistics management system, and more particularly, to a technique for managing a logistics in a heavy warehouse yard, such as a yard, by a drone.

The drone is an unmanned aerial vehicle, and it is currently discussing the process of expanding its use to life-friendly or military use such as shooting, shipping, as well as hobby activities. Especially, the technique of shooting the drones in places that are difficult to access by people and obtaining the images by shooting the drone in a place where it is difficult for the person to directly patrol the wide area is being actively discussed. Among them, Korean Patent Registration No. 10-1536095 discloses a technique for identifying the state of a pasture land as a drone.

Dron technology can be applied to various fields and it can replace existing technology because it can acquire images by loading camera with drones.

The inventors considered applying drones to the logistics management in the yard of a heavy industry site (such as a shipyard).

Conventionally, various articles stored in a shipyard yard are managed by attaching an RFID or a barcode (may be a color code, a QR code, etc.) to each item for management. When the RFID is attached, the location of the material is linked with the GPS, and such logistics management is costly. In some cases, all materials may be loaded and left without being tagged.

Therefore, the purpose of the present invention is to provide a more systematic and cost effective way to manage such warehouse logistics management.

According to the above object, the present invention provides a logistics management system for acquiring and managing images of warehouses using warehouses.

That is, in the present invention, the camera and the GPS are mounted on the drones to patrol the yard, while the images taken by the drones are received by the manager computer terminal in real time to acquire the logistics information such as the position of the articles, And provides a logistics management system that can manage the logistics.

To accomplish this, the present invention acquires the image of the entire yard by the drone, then grasps the distribution of the logistics, and establishes an effective flight path of the dron to make the yard full circle.

Also, in the present invention, in preparation for the battery discharge of the drones, the drones entering the yard can store and memorize the photographed images, and if it is judged by the remaining amount of the battery that it is impossible to complete the originally completed path, And let the new drones fly.

On the other hand, when the image taken by the drones is different from the existing yard, it is judged that the route deviates and the captured image is traced backward.

In addition, a three-dimensional camera can be mounted on the drones to determine the amount of goods loaded in the yard.

According to the present invention, it is possible to manage the logistics of the yard by using the drones, so that it is simple and cost-effective because it does not require a labeling device such as the existing RFID, and it is efficient because it can be monitored and managed in real time.

In addition, because real-time logistics management can be performed using a dron, it is not necessary to divide sections for each item, since it is possible to grasp articles without specifying a section for each item, such as a logistics management method, The article can be loaded for space efficiency.

1 is a schematic diagram showing the overall configuration of the present invention.
Figure 2 is a view showing a yard and a manager computer terminal display.
3 is a view showing an embodiment of a dock yard passage.
4 is a photograph of the drones used in this embodiment.
Figures 5 and 6 show the yard conditions before and after the use of the drone, respectively.
7 is a block diagram showing the functionality of the drone applied to the present invention.

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

When loading and managing goods in a wide space such as a shipyard, RFID tags are attached to goods placed in the yard, and the manager manages the logistics by so-called ERP. In addition, the yard shall designate the loading place for each article item, load the article by section, and manage the quantity. Therefore, even if there is an empty space, the space can not be efficiently used because the section can not be loaded unless the section occupied by the article. As shown in FIG. 1, if a dron is used to manage loading, loading, and unloading of articles in a yard, these sections can be destroyed to utilize all the empty space.

That is, the manager can lift the dron with the high-resolution camera on the yard to grasp both the loading state and the empty state of the article, and manage the logistics with the manager terminal as shown in FIG. The display of the yard and the position of the goods on the terminal display is indicated by dots, and the necessary items such as the name and quantity of the goods are displayed. For this purpose, an image recognition module is installed through training of an image (which may be referred to as an 'image'), and upon receipt of the image sent by the drones camera, it is judged and recorded in which position the article is loaded.

It is desirable that the route of the drone is automatically and repeatedly input to the control module of the drone's internal controller. The control module mounted within the drone itself may be in communication with the drone control of the manager computer. It is preferable to plan the route by using the place where the goods are loaded on the yard as a starting point. From the starting point of the entrance of the yard, as shown in FIG. 3, a route of 'd' (Namjin / Dongjin / Northjin / Dongjin) The control module is configured to return straight to the entrance starting point when the end of the yard reaches an end point of the yard extending from the exit of the yard. However, the route of the drones can be set in various ways as needed.

In the case of this embodiment, in the case of the 12,000-pyong yard, the battery duration is 20 minutes, and when the drones having the flying speed of 12 m / sec are used, the shooting time of one yard is 5 minutes. Can be taken continuously without battery replacement.

The camera mounted on the drones is composed of a web camera equipped with a communication module, and a GPS function is mounted so that the position of the article can be grasped by displaying the position on the image at the time of photographing. As a result, the function of locating the goods through the existing RFID is performed without RFID and replaced. The inventors have developed a logistics management system module that not only acquires image information using a drones but also locates information through GPS, tracks objects, and manages logistics based on the information.

The built-in camera, Action Cam (SJCam_sj4000), is a small-sized camcorder that attaches to the body or equipment and makes it easy to shoot without touching. Current technology enables remote operation and real-time image verification. There are commercial drones equipped with the camera itself, and drones can be selected considering this.

The collected image processing is called Open CV (abbreviation of Open Computer Vision) and refers to open source computer vision C library. It can be used on various platforms such as Windows, Linux, etc., and is a library focused on real-time image processing. Human-computer interaction (HCI), object recognition, gesture recognition, and so on are also possible. In this embodiment, images are collected and processed through a training process, which is a process of finding image features that can best distinguish positive and negative samples from a number of image features, and obtaining powerful detectors by combining these features.

In order to prevent this, the battery condition monitoring module is installed in the control module, and the amount of battery consumption required to return to the starting point after the completion of one round of yard is constant, The remaining battery remaining amount is monitored in real time, so that the control module is designed to return if the remaining amount can not be completed. That is, when the battery remaining amount calculated at a specific point is insufficient for the completion, and it reaches the starting point (the threshold value) that can go straight from the present position of the route so far to the starting point, Alternatively, it may be allowed to return immediately if there is an amount that can be reversed and returned as it is on the previous flight path. The return path can be made to go straight toward the starting point by using GPS like the former. However, considering the ease of programming, the path can be reversed and returned (the latter). The former is preferable for battery saving. In the latter case, it is possible to apply an image recognition module to recognize an object matching the photographed image and to program it so that the return path can be found.

Also, if you are returning to the drones that were in flight due to lack of batteries, you will start a new dron to continue management.

On the other hand, since the goods in the yard are trained for image recognition, when the image transmitted by the dron is judged not to be a yard, it is determined that the yard is out of order, and the captured image is reversed and tracked.

It is possible for the administrator to create and update the ERP by locating the article in the real-time image transmitted by the drones, and the quantity of the article can be loaded on the drones by a three-dimensional camera or by vertically scanning the camera module mounted on the drones It can be grasped from the image obtained by the control. The path of the drone itself can include up to a vertical scan, but this has the problem of lengthening the path and increasing battery usage.

When the docking area is managed using the drones, it is not necessary to manage the docking areas by sections as shown in FIG. 4. Therefore, FIG. 6 can use the space more efficiently than the existing docking areas shown in FIG.

7 is a block diagram showing a summary of functions of the drone applied to the present invention.

The image shooting function is performed by a camera mounted on the camera as a process of taking a movie and recording it on a film or a tape.

GPS module is a system that can know its position accurately by using satellite. The GPS receiver measures the exact time and distance from three or more satellites and calculates the current position according to the triangular method for each of the three different distances. Not only the position, but also the three-dimensional velocity information can be obtained with accurate time.

The mirroring function transmits pixel information of a real-time screen wirelessly with a technique of displaying the floating screen on the device as it is. This is also a feature included in the built-in camera.

Drones scheduling is a step in the management of work processes, and is a time plan for transferring the sequence chart organized by the plan into a specific task.

In the present embodiment, the drone's scheduling is required due to the limited battery of the drones, and the material is always set to fly because of the frequent entry and exit of the yard. In the dron's battery time, yard area and flight altitude setting, 20 minutes and the yard was set at 12,000 pyeong (199m * 199m). The flight altitude was set at 20m considering the height of the crane in the yard (40 ~ 100m) and the image recognition.

The number of drones is 20 minutes for battery, 5 seconds for rise time up to 20m, 7 seconds for fall time, and 178m for shooting all areas of the field and yard (178m) due to camera angle of view (94 degrees) The number of drones per two yards was determined based on battery time and travel time in the route.

We calculated that we need four batteries per dron, considering charging time (40 minutes), battery run time (20 minutes), spare capacity, and one battery in use.

Remote control refers to a remote control method through a transmitter or a transmission line microwave from a control station.

The airborne collision avoidance system is a system that monitors the aircraft around the aircraft by a transporter independently of the ground air traffic control system to prevent airborne collision of the aircraft.

It is to be understood that the invention is not limited to the embodiments described above but is defined by the appended claims and that those skilled in the art can make various modifications and alterations within the scope of the claims It is self-evident.

No reference symbol.

Claims (2)

An apparatus for managing logistics stored in a yard,
A dron with a camera equipped with a communication module;
A control module for controlling driving and routing of the drones; And
And a manager terminal for receiving image information of a camera mounted on the drone,
The camera may be a three-dimensional camera or a camera capable of vertically scanning a camera module while flying so that the number of items loaded on the yard can be detected.
The control module includes:
The image of the article loaded on the yard is photographed by the camera mounted on the drones and transferred to the manager terminal, and the image of the article received by the manager terminal is checked to identify the type, position and quantity of the article, To manage the logistics,
An image of the yard or an image of the goods loaded on the yard can be trained and recognized and if the image transmitted by the dron is recognized as not a yard, And,
It sets the route of the drones to fly over the yard and return to the starting point, monitors the remaining amount of the battery included in the dron in real time, and calculates the necessary battery amount and battery remaining amount And when the remaining amount of the battery is a threshold value capable of completing the return path, the return is made. [2] The apparatus according to claim 1, wherein the drones include a GPS module to transmit position information to an image of an article and transmit the same to an administrator terminal so that an administrator can identify the position of the article.

Images