KR20240003604A - System of safety smart logistics in distance measuring and RTLS with 3D image by using AI - Google Patents

Abstract

The present invention uses IOT sensors installed at each location of the logistics storage space such as a warehouse and tags attached to the goods to check the three-dimensional location information where the goods are loaded and uses artificial intelligence to safely, quickly and efficiently deliver the necessary goods. It is about a smart logistics safety management system based on real-time location tracking, 3D images, distance measurement, and artificial intelligence that picks up and loads, and runs the designated route inside the warehouse according to the corresponding control signal and outputs set through the IOT sensor provided. A cart vehicle that receives broadcasting of unique number information and corresponding control signals through wireless signals and loads or picks up music products (200) into a designated compartment configured in a product loading rack at a designated coordinate location; One or more are installed at even intervals inside the warehouse, but are installed in a location that does not interfere with the movement of the cart vehicle, forming a service area where the wireless signal broadcasted through the provided IOT sensor reaches the cart vehicle. When entering the service area, the location information access point receives and registers the unique number of the cart vehicle and estimates and detects the straight-line distance using RSSI calculation method; connects to the cart vehicle and location information access point respectively and has the unique number of the cart vehicle registered A logistics intensive management center that calculates the straight-line distance information of all location information access points in real time using a triangulation method to estimate and extract the current location inside the warehouse and calculates the direction and speed of movement; distributed at even intervals inside the warehouse One or more of them are installed in a location that does not interfere with the movement of the cart vehicle, and are characterized by including a camera unit that captures the front image of the product loading rack in visible light, infrared light, and ultraviolet light, respectively, in response to a corresponding control signal from the logistics management center. there is.

Description

Smart logistics safety management system using real-time location tracking, 3D image, distance measurement, and artificial intelligence {System of safety smart logistics in distance measuring and RTLS with 3D image by using AI}

The present invention relates to a smart logistics safety management system using real-time location tracking, 3D images, distance measurement, and artificial intelligence. More specifically, the present invention relates to IOT sensors installed at each location of a logistics storage space such as a warehouse and tags attached to goods. A smart logistics safety management system using real-time location tracking, 3D images, distance measurement, and artificial intelligence to check the three-dimensional location information where goods are loaded and use artificial intelligence to safely, quickly, and efficiently pick up and load necessary goods. It's about.

In order to improve competitiveness through logistics infrastructure, it is essential to secure a logistics system that handles storage, pickup, and delivery economically, quickly, and accurately.

Generally, when storing goods, a method is used that considers the price or rent of the warehouse infrastructure site, distance, and transportation costs. Even if a warehouse infrastructure or distribution center is secured, it can be operated efficiently only by quickly checking the location of stored goods and quickly picking them up when necessary.

A distribution center generally has a large area of 1,000 m2 or more and is a base facility that stores goods (cargo) and performs unloading, shipping, and delivery. In order to do this, it is necessary to safely receive, store, ship, and move the goods. Due to the frequent nature of loading, unloading, and transportation, the safety of workers and work facilities must be considered.

Logistics centers use the rack loading method, which has high space utilization and is easy to sort and store by item. However, since the rack loading method loads multiple cargoes up to high floors, caution is negligent due to the material imbalance caused by staircase loading. In this case, a safety accident may occur due to cargo falling.

In addition, cargo may fall due to exceeding the maximum loading capacity, poor rack facilities, or damage, causing product damage and damage to nearby workers. Accidents may also occur where moving equipment such as forklifts and bogies collide with the rack.

A conventional technology that partially improves these problems is the ‘Smart Logistics Center 3D Safety Management System’ under Korean Patent Registration No. 10-2216043 (February 8, 2021).

Figure 1 is a functional configuration diagram of a smart logistics center 3D safety management system according to an embodiment of the prior art.

Hereinafter, the prior art will be described with reference to the attached drawings, which include an information collection device 100, a management server 200, an image output device 300, and an administrator terminal 400.

The information collection device 100 is a device that moves the management target space loaded with logistics and includes an automated guided vehicle (AGV) or autonomous driving vehicle (AMR) and is equipped with a camera and a distance sensor to transmit the collected information to a management server. Transmit in real time to (200). Distance sensors include ultrasonic sensors and infrared sensors.

The management server 200 receives logistics information including the ID, loading location, and loading type of the logistics from the manager terminal 400, stores it in a database, and uses AR (augmented reality) and VR (virtual reality) using 3D image information. , MR (mixed reality) images are output to the image output device 300 to check logistics information by location. The image output device 300 consists of a Head Mounted Display (HMD).

The prior art has the advantage of confirming the stacked positions of incoming and outgoing goods using an image output device using an HMD, without having to directly tour a large factory site.

However, the conventional technology has a problem in that the location of goods entering and leaving the warehouse cannot be tracked in real time, and since the loaded location depends on the distance information of movement and image information, the estimation of the loading location is inaccurate due to the accumulation of errors due to the increase in movement distance. There are still problems such as the difficulty in quickly checking problems occurring right next to one another because HMD video output devices are used to check the location of logistics loading.

In addition, details such as quantity, arrival date, and status of goods at a specific location depend on manual input on the manager's terminal, so there are problems such as a high probability of input errors occurring and a lot of time being consumed.

Therefore, a number of Internet of Things (IOT) sensors are installed inside the warehouse to accurately detect the location where the goods are loaded, and electronic tags are attached to the loaded goods to use artificial intelligence technology to record the quantity, status, and history of the goods. There is a need to develop technology to quickly input and confirm and operate logistics arrangement efficiently and efficiently using digital image processing technology.

Republic of Korea Patent Registration No. 10-2216043 (2021. 02. 08.) ‘Smart Logistics Center 3D Safety Management System’ Republic of Korea Patent Application No. 10-2013-0140229 (November 18, 2013) ‘Logistics infrastructure location determination system and method using geographic information’

The present invention, designed to solve the problems and necessities of the prior art as described above, installs a plurality of location confirmation transmitting means at even intervals inside a logistics warehouse and analyzes RSSI signals from IOT sensors installed on baggage transport vehicles or cart vehicles. One of the purposes pursued is to provide a smart logistics safety management system based on real-time location tracking, 3D images, distance measurement, and artificial intelligence that accurately analyzes the absolute location and direction of transportation by applying triangulation and analysis technology. .

In addition, the present invention is a real-time location tracking and 3D image system that quickly inputs and manages the history and contents of the product by using the IOT tag sensor provided in each product and accurately analyzes the absolute information of the relative distance between products, loading capacity, and empty space. One of the goals pursued is to provide a smart logistics safety management system using distance measurement and artificial intelligence.

Meanwhile, the present invention provides a smart logistics safety management system using real-time location tracking, 3D images, distance measurement, and artificial intelligence that performs image processing on images taken at a warehouse to relatively analyze loaded space and available space information. It is one of the goals pursued.

In addition, the present invention determines the location information of the loaded product as the result of calculating the arithmetic mean of the measured absolute location information and relative location information, so it includes real-time location tracking, 3D image and distance measurement that increases the precision and reliability of the loaded location information of the article. One of the goals pursued is to provide a smart logistics safety management system powered by artificial intelligence.

In addition, the present invention selects the absolute and relative analysis values for the space where the product is loaded and the space where the product can be loaded by processing an arithmetic mean operation, so real-time location tracking and 3D images increase the precision and reliability of the analysis result of the product's loading space. One of the goals pursued is to provide a smart logistics safety management system using distance measurement and artificial intelligence.

Meanwhile, the present invention uses precise values calculated from the arithmetic average as location information and loading space information where goods are loaded, respectively, and reflects them through digital image processing on the 3D map information of the logistics factory, so the precise 3D information of goods loaded in the logistics warehouse is reflected. One of the purposes pursued is to provide a smart logistics safety management system using real-time location tracking, 3D images, distance measurement, and artificial intelligence that provides dimensional image information and processes logistics placement and shipment quickly, safely, and accurately.

The smart logistics safety management system based on real-time location tracking, 3D images, distance measurement, and artificial intelligence of the present invention, designed to achieve the above-mentioned purpose, travels a designated path inside the warehouse 100 according to the corresponding control signal. A cart that receives broadcasting of unique number information and corresponding control signals through a wireless signal with output set through the equipped IOT sensor, and loads or picks up music products (200) in a designated compartment of the product loading rack (300) at a designated coordinate location. vehicle(1000); A service area where a wireless signal broadcasted through self-broadcasted IOT sensors is installed inside the warehouse 100 at evenly spaced locations and does not interfere with the movement of the cart vehicle 1000. a location information access point (2000) that receives and registers the unique number of the cart (1000) when the cart (1000) enters the service area and estimates and detects the straight-line distance using RSSI calculation; Each of the cart vehicle (1000) and the location information access point (2000) are connected to each other, and the straight-line distance information of all location information access points (2000) for which the unique number of the cart vehicle (1000) is registered is calculated in real time using a triangulation method. a logistics management center (3000) that estimates and extracts the current location inside the warehouse (100) and calculates the direction and speed of movement; One or more of them are installed at even intervals inside the warehouse 100, but are installed in a position that does not interfere with the movement of the cart vehicle 1000, and load products according to the corresponding control signal from the logistics management center 3000. A camera unit 4000 that captures the front image of the rack 300 in visible light, infrared light, and ultraviolet light, respectively; may include.

The quantity, receipt date, appropriate storage temperature, appropriate storage period, movement history, and three-dimensional size of the logistics product 200 are determined by the corresponding control signal wirelessly input from the logistics intensive management center 3000. , records information including the weight value, is fixedly installed on the outside of the logistics product 200, and includes a product tag 210 that estimates and detects the straight-line distance to the adjacent logistics product 200 using RSSI calculation and reports it. You can.

The logistics intensive management center (3000) monitors the operation of each functional unit constituting the logistics intensive management center (3000), outputs respective control signals in real time, and provides 2D and 3D drawings of the interior of the logistics warehouse (100). A logistics central operation control unit (3010) that controls the location and worker information of the music product (200) to be recorded in real time; The received signal strength of the cart vehicle (1000) received from each of the location information access points (2000) that wirelessly received the unique number of the cart vehicle (1000) by the corresponding control signal from the logistics central operation control unit (3010) is calculated using the RSSI method to calculate the straight-line distance value from each location information access point (2000). If the same straight-line distance value is calculated from three or more location information access points (2000), the corresponding location information access points (2000) are connected to each other. An absolute position information calculation unit 3020 that estimates and calculates an absolute position information value by assuming that the cart vehicle 1000 is located at a point where straight lines are connected and intersected, but on the same designated horizontal plane; The unique number received wirelessly from the product tag 210 of the popular product 200 by the corresponding control signal from the logistics central operation control unit 3010 is received from the product tag 210 of all adjacent popular products 200. The received signal strength of the music product 200 is calculated using the RSSI method to calculate the straight-line distance value from each adjacent music product 200. If the same straight-line distance value is calculated from three or more adjacent music products 200, the corresponding adjacent music product 200 is calculated. A relative position information calculation unit 3030 that connects the music products 200 to each other in a straight line and estimates and calculates a relative position information value based on the fact that the music products 200 are located at the intersection point, but calculates the relative position information value on the same designated horizontal plane; The unique number received wirelessly from the product tag 210 of the popular product 200 by the corresponding control signal from the logistics central operation control unit 3010 is received from the product tag 210 of all adjacent popular products 200. The received signal strength of the music product 200 is calculated using the RSSI method to calculate the straight-line distance value from each adjacent music product 200. If the same straight-line distance value is calculated from three or more adjacent music products 200, the corresponding adjacent music product 200 is calculated. It is estimated that the music product 200 is located at the point where the music product 200 intersects with a straight line, and converted into an image corresponding to the size of the music product 200 in response to the standard size information to provide absolute spatial information. An absolute spatial information calculation unit 3040 that calculates values on the same designated horizontal plane; Digital image processing is performed on the video information captured by the camera unit 4000 in accordance with the corresponding control signal from the logistics central operation control unit 3010, and the relative spatial information value of the music product 200 loaded on the same designated horizontal plane is calculated. A relative spatial information calculation unit 3050 that calculates; may include.

The logistics centralized management center 3000 calculates the absolute location information value calculated by the absolute location information calculation unit 3020 and the relative position information calculation unit 3030 according to the corresponding control signal from the logistics central operation control unit 3010. A location information arithmetic average calculation unit 3060 that inputs relative location information values and performs arithmetic average calculation to extract a location information arithmetic average calculation value; Input the absolute spatial information value calculated by the absolute spatial image information calculation unit 3040 and the relative spatial information value calculated by the relative spatial information calculation unit 3050 according to the corresponding control signal from the logistics central operation control unit 3010 and perform arithmetic. A spatial information arithmetic average calculation unit 3070 that performs average calculations to extract a spatial information arithmetic average calculation value; A warehouse 3D geographic information unit 3080 that records and manages warehouse 3D geographic information inside the logistics warehouse 100 including the product loading rack 300 in response to a corresponding control signal from the logistics central operation control unit 3010; The spatial information arithmetic mean calculation value calculated by the spatial information arithmetic mean calculation unit 3070 is mapped to the warehouse 3D geographical information according to the corresponding control signal from the logistics central operation control unit 3010, and the summed 3D geographical information is recorded and managed. Synthetic 3D Product Geographic Information Department (3090); It may further include.

The logistics central operation control unit 3010 sequentially sets the absolute location information value, the relative location information value, the absolute spatial information value, and the relative spatial information value on the same horizontal plane of each layer sequentially from the bottom to the top of the product loading rack 300. It can be configured to control and monitor to calculate .

The logistics central operation control unit 3010 may further include a 3D motion sickness entry/exit unit 3100 that outputs the combined 3D geographic information calculated and mapped in real time by the synthetic 3D product geographic information unit 3090 as a 3D image. there is .

The present invention, configured as described above, installs a plurality of location confirmation transmitting means at even intervals inside the logistics warehouse and applies RSSI analysis and triangulation analysis technology to the signals of the IOT sensor installed on the baggage transport vehicle to determine the absolute location of the loaded logistics. It has the advantage of accurately and quickly analyzing location and transportation direction.

In addition, the present invention has the advantage of quickly inputting and managing the history and contents of the product by using the IOT tag sensor provided in each product and accurately analyzing the absolute information of the relative distance between products, loading capacity, and empty space.

Meanwhile, the present invention has the advantage of relatively quickly analyzing information on loaded space and available space by performing image processing on images taken at a warehouse.

In addition, the present invention has the advantage of increasing the precision, reliability, and preference of the product loading location information because the location information of the product is determined by calculating the arithmetic mean of the measured absolute position information and relative position information.

In addition, the present invention selects the absolute analysis value and the relative analysis value for the space where the product is loaded and the space available for loading by processing an arithmetic mean operation, thereby increasing the precision, reliability, and preference for the analysis result of the loading space of the product and ensuring operational safety. There are advantages to improving it.

The camera unit 4000 connects to each functional unit provided in the camera unit 4000, monitors the operation status, and outputs the corresponding control signal, respectively. A visible ray photographing unit 4020, which captures an image of an object in visible light according to a control signal, and an infrared photographing unit 4030, which photographs an image of an object in infrared rays according to a corresponding control signal from the image securing management unit 4010, and the image securing unit An ultraviolet imaging unit 4040 that captures an image of an object in ultraviolet rays according to a corresponding control signal from the management unit 4010, and an image of an object captured in visible light and an image of an object captured in infrared rays by a corresponding control signal from the image acquisition management unit 4010. It may include an image pixel arithmetic average calculation unit 4050 that calculates the arithmetic average of the value of each pixel corresponding to the same position in the image and the object image taken with ultraviolet rays and outputs the arithmetic average calculation.

Figure 1 is a functional configuration diagram of a smart logistics center three-dimensional safety management system according to an embodiment of the prior art;
Figure 2 is an overall configuration diagram of a smart logistics safety management system based on real-time location tracking, 3D image, distance measurement, and artificial intelligence according to an embodiment of the present invention;
Figure 3 is a diagram showing a music product with a product tag attached and loaded on a product loading rack according to an embodiment of the present invention.
Figure 4 is a detailed view of a logistics centralized management center according to an embodiment of the invention;
and
Figure 5 is an illustration of the functional arrangement of a smart logistics safety management system based on real-time location tracking, 3D image, distance measurement, and artificial intelligence according to an embodiment of the present invention.

Since the present invention can be modified in various ways and can have various embodiments, specific embodiments will be illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all transformations, equivalents, and substitutes included in the spirit and technical scope of the present invention. In describing the present invention, if it is determined that a detailed description of related known technologies may obscure the gist of the present invention, the detailed description will be omitted.

In the following description, logistics, goods, and products have the same meaning and will be used selectively to suit the context.

Figure 2 is an overall configuration diagram of a smart logistics safety management system based on real-time location tracking, 3D image, distance measurement, and artificial intelligence according to an embodiment of the present invention, and Figure 3 is an embodiment of the present invention, showing product It is a diagram of music products with product tags attached to be loaded on a loading rack, Figure 4 is a detailed view of a logistics centralized management center according to an embodiment of the invention, and Figure 5 is a real-time view according to an embodiment of the present invention. This is also a functional layout explanation of the smart logistics safety management system using location tracking, 3D images, distance measurement, and artificial intelligence.

Hereinafter, referring to all the attached drawings, the smart logistics safety management system (900) using real-time location tracking, 3D images, distance measurement, and artificial intelligence of the present invention will be described, including a cart vehicle (1000), a location information access point (2000), and It consists of a logistics intensive management center (3000) and a camera unit (4000).

Real-Time Locating Service (RTLS) is also known as Indoor Positioning Service (IPS).

It is a technology that confirms or tracks the location of a person or object, similar to a mobile communication network-based location-based service (LBS), and refers to a location confirmation and location tracking service in limited spaces such as short distances and indoors.

The techniques used for location tracking in RTLS use Cell-ID, triangulation, and fingerprinting methods used in LBS. However, LBS uses mobile communication technologies such as code division multiple access (CDMA) and GSM. , RTLS has differences in the use of short-range communication technologies such as Wi-Fi (IEEE 802.11b), Zigbee (IEEE 802.15.4), UWB, Bluetooth, and RFID.

The cart vehicle 1000 travels the designated route inside the warehouse 100 according to the corresponding control signal, receives the broadcast of unique number information and the corresponding control signal through a wireless signal with an output set through the provided IOT sensor, and sells music products ( 200) is loaded for storage or picked up for shipment in a designated compartment of the product loading rack 300 at a designated coordinate location.

The quantity, stocking date, appropriate storage temperature, appropriate storage period, movement history, three-dimensional size, and weight value of the logistics product 200 are determined by the corresponding control signal wirelessly input from the logistics intensive management center 3000. It records the information contained in this and is fixedly installed on the outside of the logistics product 200, and includes a product tag 210 that estimates and reports the straight-line distance to the adjacent logistics product 200 using RSSI calculation.

The cart vehicle (1000) is a vehicle that uses electricity or LPG as a power source, and is composed of an automated guided vehicle (AGV) or autonomous vehicle (AMR), and operates under real-time remote control from the logistics management center (3000). .

The location information access point 2000 is installed at evenly spaced locations inside the warehouse 100, but is installed in a location that does not interfere with the movement of the cart vehicle 1000, and is a wireless device that broadcasts itself through the provided IOT sensor. It forms a service area where the signal reaches a usable normal level, and when the cart vehicle (1000) enters the service area, the unique number of the cart vehicle (1000) is received and registered in real time, and the straight-line distance is calculated in real time using the RSSI calculation method. Estimated detection. The location information access point (2000) is monitored and controlled by the logistics management center (3000).

The location information access point (2000) uses one or more of the methods selected from Wi-Fi, Zigbee, UWB, Bluetooth, and RFID, which function as a wireless LAN using short-distance wireless communication. operated simultaneously.

The logistics intensive management center (3000) connects to each cart vehicle (1000) and the location information access point (2000) and triangulates the straight-line distance information of all location information access points (2000) where the unique number of the cart vehicle (1000) is registered. By calculating using a survey method, the current location inside the warehouse 100 is estimated and extracted, and the moving direction and moving speed are calculated.

The logistics centralized management center (3000) includes a logistics central operation control unit (3010), an absolute location information calculation unit (3020), a relative location information calculation unit (3030), an absolute spatial information calculation unit (3040), a relative spatial information calculation unit (3050), and a location information It includes an arithmetic mean calculation unit (3060), a spatial information arithmetic mean calculation unit (3070), a warehouse 3D geographic information unit (3080), and a synthetic 3D product geographic information unit (3090).

The logistics central operation control unit 3010 monitors the operation of each functional unit constituting the logistics intensive management center 3000, outputs each control signal in real time, and draws the interior of the logistics warehouse 100 in 2D and 3D, respectively. The location of the music product 200 and operator information are controlled to be recorded in real time.

The logistics central operation control unit 3010 sequentially sets the absolute location information value, the relative location information value, the absolute spatial information value, and the relative spatial information value on the same horizontal plane of each layer, one by one, from the bottom to the top of the product loading rack 300. Control and monitor to produce output.

The absolute location information calculation unit 3020 stores the cart vehicle 1000 received from all location information access points 2000 that wirelessly receive the unique number of the cart vehicle 1000 by the corresponding control signal from the logistics central operation control unit 3010. )'s received signal strength is calculated using the RSSI method to calculate the straight-line distance value from each location information access point (2000). If the same straight-line distance value is calculated from three or more location information access points (2000), the corresponding location information access point (2000) is connected to each other with a straight line, and the absolute position information value is estimated and calculated as the cart vehicle 1000 is located at the intersection point, but is calculated on the same designated horizontal plane.

The relative location information calculation unit 3030 receives the unique number wirelessly from the product tag 210 of the music product 200 by the corresponding control signal from the logistics central operation control unit 3010, and receives the product tag of all adjacent music products 200 ( 210), the received signal strength of each of the music products 200 is calculated using the RSSI method to calculate the straight-line distance value from each adjacent music product 200, and the same straight-line distance is obtained from three or more adjacent music products 200. Once the value is calculated, the relative location information value is estimated and calculated as if the adjacent music products 200 are connected to each other in a straight line and the music product 200 is located at the intersection point, but is calculated on the same designated horizontal plane.

The absolute spatial information calculation unit 3040 receives the unique number wirelessly from the product tag 210 of the music product 200 by the corresponding control signal from the logistics central operation control unit 3010, and receives the product tag ( 210), the received signal strength of each of the music products 200 is calculated using the RSSI method to calculate the straight-line distance value from each adjacent music product 200, and the same straight-line distance is obtained from three or more adjacent music products 200. When the value is calculated, the adjacent music products 200 are connected to each other in a straight line, and it is estimated that the music product 200 is located at the intersection point, and an image corresponding to the size of the music product 200 is created in response to the standard size information. By converting, absolute spatial information values are calculated, but on the same designated horizontal plane.

The relative spatial information calculation unit 3050 performs digital image processing on the image information captured by the camera unit 4000 in response to a corresponding control signal from the logistics central operation control unit 3010, and stores the music products 200 on the same designated horizontal plane. Calculate relative spatial information values.

The location information arithmetic average calculation unit 3060 calculates the absolute position information value calculated by the absolute position information calculation unit 3020 and the relative position information calculated by the relative position information calculation unit 3030 according to the corresponding control signal from the logistics central operation control unit 3010. Enter the value and perform the arithmetic mean calculation to extract the location information arithmetic mean calculation value.

The spatial information arithmetic mean calculation unit 3070 calculates the absolute spatial information value calculated by the absolute spatial image information calculation unit 3040 and the relative space calculated by the relative spatial information calculation unit 3050 according to the corresponding control signal from the logistics central operation control unit 3010. Enter the information value and perform the arithmetic mean calculation to extract the spatial information arithmetic mean calculation value.

The warehouse 3D geographic information unit 3080 records and manages warehouse 3D geographical information inside the logistics warehouse 100, which includes the product loading rack 300, in accordance with the corresponding control signal from the logistics central operation control unit 3010.

The synthetic 3D product geographic information unit 3090 maps the spatial information arithmetic mean calculation value calculated by the spatial information arithmetic mean calculation unit 3070 to the warehouse 3D geographical information in accordance with the corresponding control signal from the logistics central operation control unit 3010 and sums them. Record and manage 3D geographic information.

The 3D motion sickness entry/exit unit 3100 outputs the combined 3D geographic information calculated and mapped in real time by the composite 3D product geographic information unit 3090 as a 3D image.

The camera unit 4000 is installed in one or more numbers at even intervals inside the warehouse 100, but is installed in a location that does not interfere with the movement of the cart vehicle 1000, and receives the corresponding control signal from the logistics management center 3000. The front image of the product loading rack 300 is photographed using visible light, infrared light, and ultraviolet light, respectively. When shooting in infrared and ultraviolet light at night or in the absence of artificial light, the images include logistics.

The camera unit 4000 includes an image acquisition management unit 4010, a visible light imaging unit 4020, an infrared imaging unit 4030, an ultraviolet imaging unit 4040, and an image pixel arithmetic average calculation unit 4050.

The image acquisition management unit 4010 connects to each functional unit provided in the camera unit 4000, monitors the operating status, and outputs respective control signals.

The visible light photographing unit 4020 captures an image of a subject in visible light in response to a corresponding control signal from the image acquisition management unit 4010.

The infrared photographing unit 4030 captures an image of the subject in infrared in response to a corresponding control signal from the image acquisition management unit 4010.

The ultraviolet photographing unit 4040 captures an image of the subject with ultraviolet rays in response to a corresponding control signal from the image acquisition management unit 4010.

The image pixel arithmetic mean calculation unit 4050 calculates each pixel corresponding to the same position in the subject image captured with visible light, the subject image captured with infrared light, and the subject image captured with ultraviolet light according to the corresponding control signal from the image acquisition management unit 4010. Calculate the arithmetic mean of the value and output it. The image acquisition management unit 4010 may or may not calculate a value obtained by calculating the arithmetic average of the value of each pixel, if necessary.

The above configuration installs a number of location confirmation transmitting means at even intervals inside the warehouse and applies RSSI analysis and triangulation analysis technology to the signals of the IOT sensor installed on the baggage transport vehicle to determine the absolute location of the loaded logistics and transportation. It accurately and quickly analyzes the direction, etc., quickly inputs and manages the history and contents of the item using the IOT tag sensor provided in each item, and accurately analyzes the absolute information of the relative distance between items, loading capacity, and empty space. Since the location information where the goods are loaded is determined as the result of calculating the arithmetic mean of the measured absolute and relative location information, it has the advantage of increasing the precision, reliability, and preference of the loaded location information of the goods.

Although the present invention has been described in detail with respect to the disclosed embodiments above, it is clear to those skilled in the art that various changes and modifications are possible within the technical scope of the present invention, and it is natural that such changes and modifications fall within the scope of the appended patent claims.

100: Logistics warehouse 200: Music products
210: Product tag 300: Product loading rack
900: Smart logistics safety management system using real-time location tracking, 3D images, distance measurement, and artificial intelligence
1000: cart vehicle 2000: location information access point
3000: Logistics Intensive Management Center 3010: Logistics Central Operation Control Department
3020: Absolute location information calculation unit 3030: Relative location information calculation unit
3040: Absolute spatial information calculation unit 3050: Relative spatial information calculation unit
3060: Location information arithmetic average calculation unit 3070: Spatial information arithmetic mean calculation unit
3080: Warehouse 3D Geographic Information Department 3090: Synthetic 3D Product Geographic Information Department
4000: Camera Department 4010: Image Acquisition Management Department
4020: Visible light imaging unit 4030: Infrared imaging unit
4040: Ultraviolet imaging unit 4050: Image pixel arithmetic average calculation unit

Claims (5)

It travels the designated route inside the warehouse (100) according to the corresponding control signal, receives the broadcast of the unique number information and the corresponding control signal through a wireless signal with an output set through the provided IOT sensor, and moves the music product (200) to the designated coordinate location. A cart vehicle (1000) that loads or picks up a designated compartment in the product loading rack (300);
A service area where a wireless signal broadcasted through self-broadcasted IOT sensors is installed inside the warehouse 100 at evenly spaced locations and does not interfere with the movement of the cart vehicle 1000. a location information access point (2000) that receives and registers the unique number of the cart (1000) when the cart (1000) enters the service area and estimates and detects the straight-line distance using RSSI calculation;
Each of the cart vehicle (1000) and the location information access point (2000) are connected to each other, and the straight-line distance information of all location information access points (2000) for which the unique number of the cart vehicle (1000) is registered is calculated in real time using a triangulation method. a logistics management center (3000) that estimates and extracts the current location inside the warehouse (100) and calculates the direction and speed of movement;
One or more of them are installed at even intervals inside the warehouse 100, but are installed in a position that does not interfere with the movement of the cart vehicle 1000, and load products according to the corresponding control signal from the logistics management center 3000. A camera unit 4000 that captures the front image of the rack 300 in visible light, infrared light, and ultraviolet light, respectively; A smart logistics safety management system using real-time location tracking, 3D images, distance measurement, and artificial intelligence.
According to claim 1,
The logistics product (200) is
Information including the quantity, receipt date, appropriate storage temperature, appropriate storage period, movement history, three-dimensional size, and weight value of the logistics product (200) based on the corresponding control signal wirelessly input from the logistics management center (3000). Real-time location tracking and 3D images including a product tag 210 that records and is fixedly installed outside the logistics product 200 and estimates and detects the straight-line distance with the adjacent logistics product 200 using RSSI calculation and notifies it. and a smart logistics safety management system based on distance measurement and artificial intelligence.
According to claim 1,
The logistics intensive management center (3000) is
The operation of each functional unit constituting the logistics intensive management center (3000) is monitored, each control signal is output in real time, the interior of the logistics warehouse (100) is drawn in 2D and 3D, and the location of the merchandise (200) is mapped. and a logistics central operation control unit (3010) that controls real-time recording of worker information;
The received signal strength of the cart vehicle (1000) received from each of the location information access points (2000) that wirelessly received the unique number of the cart vehicle (1000) by the corresponding control signal from the logistics central operation control unit (3010) is calculated using the RSSI method to calculate the straight-line distance value from each location information access point (2000). If the same straight-line distance value is calculated from three or more location information access points (2000), the corresponding location information access points (2000) are connected to each other. An absolute position information calculation unit 3020 that estimates and calculates an absolute position information value by assuming that the cart vehicle 1000 is located at a point where straight lines are connected and intersected, but on the same designated horizontal plane;
The unique number received wirelessly from the product tag 210 of the popular product 200 by the corresponding control signal from the logistics central operation control unit 3010 is received from the product tag 210 of all adjacent popular products 200. The received signal strength of the music product 200 is calculated using the RSSI method to calculate the straight-line distance value from each adjacent music product 200. If the same straight-line distance value is calculated from three or more adjacent music products 200, the corresponding adjacent music product 200 is calculated. A relative position information calculation unit 3030 that connects the music products 200 to each other in a straight line and estimates and calculates a relative position information value based on the fact that the music products 200 are located at the intersection point, but calculates the relative position information value on the same designated horizontal plane;
The unique number received wirelessly from the product tag 210 of the popular product 200 by the corresponding control signal from the logistics central operation control unit 3010 is received from the product tag 210 of all adjacent popular products 200. The received signal strength of the music product 200 is calculated using the RSSI method to calculate the straight-line distance value from each adjacent music product 200. If the same straight-line distance value is calculated from three or more adjacent music products 200, the corresponding adjacent music product 200 is calculated. It is estimated that the music product 200 is located at the point where the music product 200 intersects with a straight line, and converted into an image corresponding to the size of the music product 200 in response to the standard size information to provide absolute spatial information. An absolute spatial information calculation unit 3040 that calculates values on the same designated horizontal plane;
Digital image processing is performed on the video information captured by the camera unit 4000 in accordance with the corresponding control signal from the logistics central operation control unit 3010, and the relative spatial information value of the music product 200 loaded on the same designated horizontal plane is calculated. A relative spatial information calculation unit 3050 that calculates; A smart logistics safety management system using real-time location tracking, 3D images, distance measurement, and artificial intelligence.
According to claim 3,
The logistics intensive management center (3000) is
The absolute position information value calculated by the absolute position information calculation unit 3020 and the relative position information value calculated by the relative position information calculation unit 3030 are input according to the corresponding control signal from the logistics central operation control unit 3010, and the arithmetic average is calculated. a location information arithmetic average calculation unit 3060 that extracts a location information arithmetic average calculation value;
Input the absolute spatial information value calculated by the absolute spatial image information calculation unit 3040 and the relative spatial information value calculated by the relative spatial information calculation unit 3050 according to the corresponding control signal from the logistics central operation control unit 3010 and perform arithmetic. A spatial information arithmetic average calculation unit 3070 that performs average calculations to extract a spatial information arithmetic average calculation value;
A warehouse 3D geographic information unit 3080 that records and manages warehouse 3D geographic information inside the logistics warehouse 100 including the product loading rack 300 in response to a corresponding control signal from the logistics central operation control unit 3010;
The spatial information arithmetic mean calculation value calculated by the spatial information arithmetic mean calculation unit 3070 is mapped to the warehouse 3D geographical information according to the corresponding control signal from the logistics central operation control unit 3010, and the summed 3D geographical information is recorded and managed. Synthetic 3D Product Geographic Information Department (3090); A smart logistics safety management system that further includes real-time location tracking, 3D images, distance measurement, and artificial intelligence.
According to claim 3 or 4,
The logistics central operation control unit (3010)
It is a configuration that controls and monitors the product loading rack 300 to sequentially calculate the absolute location information value, relative location information value, absolute spatial information value, and relative spatial information value on the same horizontal plane of each layer, one by one, from the bottom to the top. A smart logistics safety management system using real-time location tracking, 3D images, distance measurement, and artificial intelligence.