System for measuring brightness of beacon using drone

Abstract

The present invention relates to: a system for measuring the brightness of a beacon using a drone and, more specifically, to a system for measuring the brightness of a beacon using a drone, wherein the drone is used to measure the optical performance of a beacon installed on-site, the measured optical performance information can be analyzed to monitor the operating state of the beacon, and power generation amount information of a solar power generation unit supplying power to the beacon and remaining capacity information of a battery storing power generated by the solar power generation unit can be collected and analyzed to predict the operating time of the beacon and thereby perform maintenance and follow-up measures on the beacon on the basis of the predicted operating time information; and a method thereof. In addition, the system for measuring the brightness of a beacon using a drone according to the present invention can collect and analyze power generation amount information of the solar power generation unit supplying power to the beacon and remaining capacity information of the battery storing the power generated by the solar power generation unit to predict the operating time of the beacon and thereby perform maintenance and follow-up measures on the beacon on the basis of the predicted operating time information.

Description

Drone-based luminosity measurement system for beacons

[0001] The present invention relates to a system for measuring the brightness of a lantern using a drone, and more particularly, to a system for measuring the brightness of a lantern using a drone, and a method therefor, which can measure the optical performance of a lantern installed in a field using a drone, analyze the measured optical performance information to monitor the operating status of the lantern, and predict the operating time of the lantern by collecting and analyzing the information on the amount of power generated by a solar power generation unit that supplies power to the lantern and the information on the remaining capacity of a battery that stores the power generated by the solar power generation unit, thereby enabling maintenance and follow-up measures to be taken for the lantern based on the predicted operating time information.

[0002] A lighthouse refers to a light that emits light in a lighthouse at sea, and to manage visibility, regular inspections are conducted on brightness every four years according to the equipment and supplies inspection standards of the Ministry of Oceans and Fisheries.

[0003] In the case of small-sized lights installed on site, they are disassembled and collected and measured indoors at a specialized institution such as a testing laboratory. However, in the case of medium-sized or large-sized lights, disassembly and collection are difficult, so measurements are taken on site using a measuring line.

[0004] In addition, when measuring on site, because the measurement must be made at a certain distance from the lighthouse, the measurement is made using a measurement line due to environmental issues, and when measuring directly by boarding the measurement line, there are issues with accuracy due to the influence of currents and wind, as well as issues with cost and safety that arise when operating the measurement line.

[0005] In addition, the measurement method using a measuring line has been implemented in the same way for more than 10 years, and a convenient and safe measurement method is needed to improve this.

[0006] The present invention is intended to solve the above-described conventional problems, and the purpose of the present invention is to provide a system for measuring the brightness of a light fixture using a drone, which can measure the optical characteristic data of a light fixture installed in a field using a drone and analyze the measured optical characteristic data of the light fixture.

[0007] In addition, the present invention aims to provide a system for measuring the brightness of a light fixture using a drone, which collects information on the power generation amount of a solar power generation unit that supplies power to a light fixture and information on the remaining capacity of a battery using a drone, and can predict the operating time of the light fixture based on the collected information.

[0008] In addition, the present invention provides a system for measuring the brightness of a lighthouse using a drone, which can analyze the harbor backlight around the lighthouse and suggest an optimal navigational mark placement location based on the analysis of the harbor backlight.

[0009] In order to achieve the above object, a system for measuring the luminosity of a light fixture using a drone according to the present invention comprises: a drone which measures light characteristic data for each light fixture to be inspected located on a flight path, collects current location information, acquires surrounding image information, and collects and transmits information on the amount of power generated by a solar power generation unit for supplying power to the light fixture to be inspected and information on the remaining capacity of a battery which stores the power generated by the solar power generation unit and supplies the stored power to the light fixture to be inspected; a drone controller which generates flight path information of the drone and transmits it to the drone, and receives and transmits the light characteristic data, the location information, the image information, the amount of power generated, and the remaining capacity information transmitted from the drone; It is characterized by comprising a management terminal unit that receives the optical characteristic data, the location information, the image information, the power generation information, and the remaining capacity information transmitted from the drone controller, analyzes the received optical characteristic data to generate optical performance information of the inspection target light fixture and operating status information of the inspection target light fixture, and analyzes the received power generation information and the remaining capacity information to generate expected operation time information of the inspection target light fixture.

[0010] The flight path information generated by the drone controller of the system for measuring the brightness of a light fixture using a drone according to the present invention is characterized in that it includes at least one of departure and destination information of the drone, path information from the departure point to the destination, departure time information, information on the light fixture to be inspected, command information for measuring the optical characteristic data of the light fixture to be inspected, and unique identification information of the drone.

[0011] The optical characteristic data of the light brightness measurement system using a drone according to the present invention is characterized in that it includes at least one of the luminous flux, chromaticity, vertical divergence angle, horizontal divergence angle, dynamic luminosity, effective luminosity, light quality, daylight detector, audible sound propagation distance, and measurement date and time information of the light emitted from the light beam to be inspected.

[0012] When measuring the optical characteristic data of the light brightness measurement system using a drone according to the present invention, the location information of the drone is characterized by including at least one of the height from the ground or sea level, the latitude and longitude of the drone measured by a GPS receiver, and the distance between the light beacon to be inspected and the drone.

[0013] The drone controller of the light brightness measurement system using a drone according to the present invention is characterized in that it controls in real time at least one process among the position and attitude control function of the drone, the optical characteristic data measurement function, the drone position information collection function, and the image information acquisition function according to user control.

[0014] The management terminal of the light source brightness measurement system using a drone according to the present invention is characterized in that it analyzes optical characteristic data for the light source to be inspected, position information of the drone when measuring the optical characteristic data, and image information when measuring the optical characteristic data according to preset reference conditions, thereby generating optical performance information of the light source to be inspected and operating status information of the light source to be inspected.

[0015] The management terminal of the light intensity measurement system using a drone according to the present invention analyzes light characteristic data for the light beam to be inspected, location information of the drone when measuring the light characteristic data, and the image information when measuring the light characteristic data, thereby confirming whether the location of the light beam to be inspected is appropriate, and when the location of the light beam to be inspected is confirmed to be inappropriate as a result of the confirmation, using geographical information related to the backlight of the light beam to be inspected, generating optimal arrangement coordinate information of the light beam to be inspected, and generating a harbor backlight analysis result including the generated optimal arrangement coordinate information of the light beam to be inspected, spectrum information using the image information, and coordinate information of the current light beam to be inspected.

[0016] The system for measuring the brightness of a light fixture using a drone according to the present invention further comprises: a GPS module installed on the light fixture to be inspected to collect real-time location information of the light fixture to be inspected; and a location information transmission module wirelessly transmitting the location information of the light fixture to be inspected collected by the GPS module to the outside; and the drone is characterized in that it can receive the location information transmitted by the location information transmission module.

[0017] The system for measuring the brightness of a light fixture using a drone according to the present invention can measure the optical performance of a light fixture installed on site using a drone, and analyze the measured optical performance information to monitor the operating status of the light fixture.

[0018] In addition, the system for measuring the brightness of a light fixture using a drone according to the present invention collects and analyzes information on the power generation amount of a solar power generation unit that supplies power to the light fixture and information on the remaining capacity of a battery that stores the power generated by the solar power generation unit to predict the operating time of the light fixture, thereby enabling maintenance and follow-up measures to be taken for the light fixture based on the predicted operating time information.

[0019] In addition, the system for measuring the brightness of a beacon using a drone according to the present invention can reduce the operating budget and time of a measurement line by replacing the effective brightness measurement of a manned or unmanned navigational mark using a measurement line with a drone, take the lead in the technology for measuring navigational marks using a drone, and provide precise measurement information.

[0020] In addition, the present invention has the effect of improving the operational efficiency of the lighthouse by analyzing the harbor backlight around the lighthouse measured using a drone and proposing the optimal position of the navigational mark based on the analysis of the harbor backlight.

[0021] FIG. 1 is a block diagram showing the configuration of a drone-based luminance measurement system according to one embodiment of the present invention.

[0022] FIG. 2 is a block diagram showing a drone of a light source brightness measurement system using a drone according to one embodiment of the present invention.

[0023] FIG. 3 is a block diagram showing a drone controller of a light brightness measurement system using a drone according to one embodiment of the present invention.

[0024] Figure 4 is a block diagram showing a management terminal of a drone-based luminance measurement system according to one embodiment of the present invention.

[0025] Figure 5 is a flowchart showing a process of measuring the brightness of a light fixture using a drone according to an embodiment of the present invention.

[0026] FIG. 6 is a diagram showing a configuration for searching and detecting a light fixture using a drone in accordance with an embodiment of the present invention.

[0027] Hereinafter, a drone-based luminance measurement system according to a preferred embodiment of the present invention will be described in detail with reference to the attached drawings.

[0028] Figures 1 to 5 illustrate a system for measuring the brightness of a light fixture using a drone according to the present invention. Referring to Figures 1 to 5, a system for measuring the brightness of a light fixture using a drone according to the present invention (10) can be configured to include a drone (100), a drone controller (200), and a management terminal (300).

[0029] The drone (100) is configured to be able to communicate with a drone controller (200), a management terminal (300), etc. In addition, the drone (100) moves (or flies) to a specific area according to the flight scenario or flight path information provided by the drone controller (200), then collects various information related to the inspection target light in the specific area, and transmits and provides the collected information back to the drone controller (200). At this time, the drone (100) can control various functions of the drone (100) in real time under the control of the drone controller (200).

[0030] A drone (100) can be composed of a main body (110), a rotary wing (120), a battery (130), a drone communication unit (140), a drone storage unit (150), a first measurement unit (160), a second measurement unit (170), and a drone control unit (180).

[0031] The main body (110) may be composed of a lightweight material such as a metal having elastic restoring force or a resin material including carbon or urethane. The main body (110) may have four rotary blades (120) arranged in different directions so that the four rotary blades facing each other are symmetrical. The rotary blades (120) may be composed of a metal material or resin material having elastic restoring force.

[0032] The battery (130) may be built into the main body (110) or installed on one side. The battery (130) is installed in the drone (100) and supplies power to various components that require power.

[0033] The drone communication unit (140) may be configured on one side of the main body (110) or may be built into it.

[0034] The drone communication unit (140) communicates with any internal component or at least one external terminal via a wired / wireless communication network. At this time, the external terminal may include a drone controller (200), a management terminal (300), etc.

[0035] Here, wireless Internet technologies that can be applied include Wireless LAN (WLAN), Digital Living Network Alliance (DLNA), Wireless Broadband (Wibro), World Interoperability for Microwave Access (Wimax), High Speed ​​Downlink Packet Access (HSDPA), High Speed ​​Uplink Packet Access (HSUPA), IEEE 802.16, Long Term Evolution (LTE), Long Term Evolution-Advanced (LTE-A), and Wireless Mobile Broadband Service (WMBS).

[0036] The drone communication unit (140) can transmit and receive data according to at least one wireless Internet technology, including Internet technologies not listed above.

[0037] Additionally, short-range communication technologies may include Bluetooth, Radio Frequency Identification (RFID), Infrared Data Association (IrDA), Ultra Wideband (UWB), ZigBee, Near Field Communication (NFC), Ultra Sound Communication (USC), Visible Light Communication (VLC), Wi-Fi, and Wi-Fi Direct. Additionally, wired communication technologies may include Power Line Communication (PLC), USB communication, Ethernet, serial communication, and optical / coaxial cables.

[0038] Additionally, the drone communication unit (140) can mutually transmit information to any terminal via a universal serial bus (USB).

[0039] In addition, the drone communication unit (140) transmits and receives wireless signals with a base station, drone controller (200), management terminal (300), etc. on a mobile communication network constructed according to technical standards or communication methods for mobile communication (e.g., GSM (Global System for Mobile communication), CDMA (Code Division Multi Access), CDMA2000 (Code Division Multi Access 2000), EV-DO (Enhanced Voice-Data Optimized or Enhanced Voice-Data Only), WCDMA (Wideband CDMA), HSDPA (High Speed ​​Downlink Packet Access), HSUPA (High Speed ​​Uplink Packet Access), LTE (Long Term Evolution), LTEA (Long Term Evolution-Advanced), etc.).

[0040] Additionally, the drone communication unit (140) receives flight scenarios, unique identification information of the drone controller (200), etc. transmitted from the drone controller (200) under the control of the drone control unit (180).

[0041] In addition, the drone communication unit (140) is configured to communicate with the power management unit equipped in the solar power generation unit installed around the lighthouse to supply power to the lighthouse to be inspected. The power management unit monitors and stores power generation information of the solar power generation unit in real time, and monitors and stores in real time the remaining power information of the battery that stores the power generated by the solar power generation unit and supplies the stored power to the lighthouse.

[0042] The drone storage unit (150) may be configured on one side of the main body (110) or may be built into it.

[0043] Additionally, the drone storage unit (150) stores various user interfaces (UI), graphical user interfaces (GUI), etc.

[0044] In addition, the drone storage unit (150) stores data and programs necessary for the operation of the drone (100). That is, the drone storage unit (150) can store a number of application programs (or applications) running on the drone (100), data for the operation of the drone (100), and commands. At least some of these application programs can be downloaded from an external server via wireless communication.

[0045] Additionally, at least some of these applications may be present on the drone (100) from the time of shipment for the basic functions of the drone (100). Meanwhile, the applications may be stored in the drone storage unit (150), installed in the drone (100), and driven by the drone control unit (180) to perform the operation (or function) of the drone (100).

[0046] In addition, the drone storage unit (150) may include at least one storage medium among a Flash Memory Type, a Hard Disk Type, a Multimedia Card Micro Type, a card type memory (e.g., SD or XD memory, etc.), a magnetic memory, a magnetic disk, an optical disk, a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read-Only Memory (ROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), and a Programmable Read-Only Memory (PROM).

[0047] Additionally, the drone (100) may operate web storage that performs the storage function of the drone storage unit (150) on the Internet, or may operate in relation to web storage.

[0048] Additionally, the drone storage unit (150) stores flight scenarios received under the control of the drone control unit (180), unique identification information of the drone controller (200), etc.

[0049] The first measuring unit (160) may be configured or built into one side of the main body (110).

[0050] In addition, the first measuring unit (160) receives a GPS signal transmitted from a satellite using a GPS receiver (not shown), generates first location data of the drone (400) in real time based on the longitude and latitude coordinates included in the received GPS signal, and outputs the generated first location data to the drone control unit (180). Here, the generated first location data is defined as the current location (or current location data) of the drone (100). Here, location information may be received not only through the GPS receiver but also through Wi-Fi or Wibro communication.

[0051] In addition, the signal received through the GPS receiver can be configured to provide the location information of the terminal to the drone (100) using a wireless communication method such as 802.11, which is a standard for wireless networks including wireless LAN and some infrared communications proposed by the Institute of Electrical and Electronics Engineers (IEEE), 802.15, which is a standard for wireless PAN (Personal Area Network) including Bluetooth, UWB, Zigbee, etc., 802.16, which is a standard for wireless MAN (Metropolitan Area Network) including Fixed Wireless Access (FWA) and Broadband Wireless Access (BWA), and 802.20, which is a standard for mobile Internet for wireless MAN (Mobile Broadband Wireless Access: MBWA) including Wibro, WiMAX, etc.

[0052] In addition, the first measuring unit (160) collects location information of the corresponding drone (100) at the time of measuring optical characteristic data related to the inspection target light based on the received flight scenario. Here, the location information of the corresponding drone (100) at the time of measuring the optical characteristic data includes the height from the ground or sea level, the latitude and longitude of the corresponding drone measured by a GPS receiver (not shown), the distance between the inspection target light and the drone (100), etc.

[0053] The second measuring unit (170) is configured (or formed) on one side (or inside) of the main body (110).

[0054] In addition, the second measuring unit (170) may include a high-resolution optical camera for photographing an object located at a distance and measuring optical characteristic data (or optical performance data) corresponding to various optical performances related to light emitted from the inspection target light source. In this case, the optical camera is configured in a form that allows for the attachment / detachment of a high-magnification lens (not shown).

[0055] In addition, the second measuring unit (170) measures optical characteristic data related to the inspection target light fixture within a preset distance range (e.g., 200 m to 300 m) from the corresponding inspection target light fixture corresponding to the destination, based on optical characteristic data measurement command information of the corresponding inspection target light fixture included in the flight scenario, under the control of the drone control unit (180).

[0056] Here, the optical characteristic data may include luminous flux related to the light source emitted from the inspection target light fixture (or luminous flux of the bulb used in the inspection target light fixture), chromaticity (or including spectrum, chromaticity, etc. for the lens and color filter of the inspection target light fixture), vertical divergence angle (or including light distribution and divergence angle with respect to the vertical axis of the inspection target light fixture), horizontal divergence angle (or light distribution and divergence angle test with respect to the horizontal axis of the inspection target light fixture), static luminosity, effective luminosity (or effective luminosity of a flash by measuring the instantaneous luminosity of the inspection target light fixture), illuminance (or including light / flash time, dark time, cycle time, etc. according to the illuminance standard), daylight detector (or including illuminance of on / off lighting depending on the ambient brightness, etc.), audible sound distance, measurement date, and time information, etc.

[0057] In addition, the second measuring unit (170) acquires (or photographs) image information about the front of the drone (100), i.e., the direction from the drone toward the inspection target light, when measuring the optical characteristic data, under the control of the drone control unit (180). Here, the image information about the front of the drone (100) when measuring the optical characteristic data may be a high-resolution image (e.g., 4K resolution or higher) acquired at a preset cycle in order to measure the harbor backlight related to the inspection target light.

[0058] The drone control unit (drone MCU (microcontroller unit) (180) is configured (or formed) on one side (or built-in) of the main body (110).

[0059] Additionally, the drone control unit (180) executes the overall control function of the drone (100).

[0060] In addition, the drone control unit (180) executes the overall control function of the drone (100) using the programs and data stored in the drone storage unit (150). The drone control unit (180) may include RAM, ROM, CPU, GPU, and a bus, and the RAM, ROM, CPU, GPU, etc. may be connected to each other through a bus. The CPU may access the drone storage unit (150), perform booting using the O / S stored in the drone storage unit (150), and perform various operations using various programs, contents, data, etc. stored in the drone storage unit (150). Here, the control function related to the drone (100) may include general drone functions such as flight and attitude control.

[0061] In addition, the drone control unit (180) receives the flight scenario transmitted from the drone controller (200), the unique identification information of the drone controller (200), etc., through the drone communication unit (140). At this time, the drone control unit (180) may determine whether to apply the received flight scenario based on the received unique identification information of the drone controller (200) (or the unique identification information of the drone (100). That is, the drone control unit (180) determines (or confirms) whether the received unique identification information of the drone controller (200) is included in the unique identification information of one or more drone controllers that have been pre-stored (or registered) in the corresponding drone storage unit (150). At this time, the drone control unit (180) may also determine whether the received unique identification information of the drone (100) is the same as (or matches) the unique identification information of the corresponding drone (100).

[0062] As a result of the judgment (or confirmation), if the unique identification information of the received drone controller (200) is included in the unique identification information of one or more pre-registered drone controllers, the drone control unit (180) determines that the received flight scenario is valid.

[0063] In addition, if the judgment result (or confirmation result) shows that the unique identification information of the received drone controller (200) is not included in the unique identification information of one or more pre-registered drone controllers (200), the drone control unit (180) determines that the received flight scenario is invalid and discards (or deletes) the received flight scenario.

[0064] Additionally, the drone control unit (180) takes off and flies to the destination based on the departure time information based on the received flight scenario. At this time, the drone control unit (180) determines whether there are obstacles during flight and configures the drone (100) to fly safely by resetting the flight path based on the presence of obstacles.

[0065] In addition, the drone control unit (180) controls the second measurement unit (170) within a preset distance range (e.g., 200 m to 300 m) from the corresponding inspection target light corresponding to the arrived destination, and measures optical characteristic data related to the inspection target light based on the optical characteristic data measurement command information of the corresponding inspection target light included in the flight scenario.

[0066] Here, the optical characteristic data may include luminous flux related to the light source emitted from the inspection target light fixture (or luminous flux of the bulb used in the inspection target light fixture), chromaticity (or including spectrum, chromaticity, etc. for the lens and color filter of the inspection target light fixture), vertical divergence angle (or including light distribution and divergence angle with respect to the vertical axis of the inspection target light fixture), horizontal divergence angle (or light distribution and divergence angle test with respect to the horizontal axis of the inspection target light fixture), static luminosity, effective luminosity (or effective luminosity of a flash by measuring the instantaneous luminosity of the inspection target light fixture), illuminance (or including light / flash time, dark time, cycle time, etc. according to the illuminance standard), daylight detector (or including illuminance of on / off lighting depending on the ambient brightness, etc.), audible sound distance, measurement date, and time information, etc.

[0067] At this time, the drone control unit (180) controls the first measurement unit (160) to collect location information of the corresponding drone (100) at the time of measuring the optical characteristic data. Here, the location information of the corresponding drone (100) at the time of measuring the optical characteristic data includes the height from the ground or sea level, the latitude and longitude of the corresponding drone measured by a GPS receiver (not shown), the distance between the corresponding inspection target light and the drone (100), etc.

[0068] In addition, the drone control unit (180) controls the second measurement unit (170) to set the setting value of the camera equipped in the drone (100) based on the environmental information of the area where the drone (100) is located, and then acquires (or photographs) image information about the front of the drone (100) (or the direction from the drone (100) to the light beacon to be inspected) at the time of measuring the characteristic data. Here, the image information about the front of the drone (100) (or the direction from the drone (100) to the light beacon to be inspected) at the time of measuring the optical characteristic data may be a high-resolution image (for example, 4K resolution or higher) acquired at a preset cycle in order to measure the harbor backlight related to the light beacon to be inspected.

[0069] In addition, the drone control unit (180) can control the drone communication unit to collect power generation information and remaining capacity information from the power management unit of the solar power generation unit installed around the inspection target light at the time of measuring the optical characteristic data.

[0070] In addition, the drone control unit (180) transmits optical characteristic data for the measured inspection target light, location information of the drone (100) at the collected measurement point (or the optical characteristic data measurement point), image information at the acquired (or photographed) measurement point, unique identification information of the drone (100), etc. to the drone controller (200) through the drone communication unit (140).

[0071] In this way, the drone (100) can move to a specific location according to a flight scenario provided from the drone controller (200), collect various information in real time related to the inspection target lights located around the specific location, and provide the collected information to the drone controller (200) in real time.

[0072] In addition, the drone (100) can perform various functions (e.g., movement / flight function, attitude control function, optical characteristic data measurement function, location information collection function, image information acquisition function, etc.) included in the drone (100) in real time by a control signal transmitted in real time from the drone controller (200) in relation to the inspection target light, and transmit the performance results in real time to the drone controller (200).

[0073] The drone controller (200) communicates with the drone (100), management terminal (300), etc.

[0074] In addition, the drone controller (200) generates a flight scenario for the flight function of the drone (100) linked to the drone controller (200), the measurement / collection function of various information related to the light, etc., and provides the generated flight scenario to the drone (100). At this time, the drone controller (200) can control various functions of the drone (100) in real time.

[0075] The drone controller (200) can be composed of a communication unit (210), a storage unit (220), a display unit (230), and a control unit (240).

[0076] The communication unit (210) communicates with any internal component or at least one external terminal via a wired / wireless communication network. At this time, the external terminal may include a drone (100), a management terminal (300), etc.

[0077] Here, wireless Internet technologies include wireless LAN (WLAN), DLNA, Wibro, WiMAX, HSDPA, HSUPA, IEEE 802.16, Long Term Evolution (LTE), LTE-A, and wideband wireless mobile communication service (WMBS), and the communication unit (210) transmits and receives data according to at least one wireless Internet technology including Internet technologies not listed above. In addition, short-range communication technologies may include Bluetooth, RFID, infrared communication (IrDA), UWB, Zigbee, near field communication (NFC), ultrasonic communication (USC), visible light communication (VLC), Wi-Fi, and Wi-Fi Direct. In addition, wired communication technologies may include power line communication (PLC), universal serial bus (USB) communication, Ethernet, serial communication, optical / coaxial cables, and the like.

[0078] Additionally, the communication unit (210) can mutually transmit information to any terminal via a universal serial bus (USB).

[0079] In addition, the communication unit (210) transmits and receives wireless signals with a base station, drone (100), management terminal (300), etc. on a mobile communication network constructed according to technical standards or communication methods for mobile communication (e.g., GSM, CDMA, CDMA2000, EV-DO, WCDMA, HSDPA, HSUPA, LTE, LTE-A, etc.).

[0080] Additionally, the communication unit (210) transmits the flight scenario, unique identification information of the drone controller (200), etc. to the drone (100) under the control of the control unit (240).

[0081] In addition, the communication unit (210) receives optical characteristic data related to the inspection target light transmitted from the drone (100) under the control of the control unit (240), location information of the drone (100) at the time of measurement, image information at the time of measurement, unique identification information of the drone (100), etc.

[0082] The storage unit (220) stores various user interfaces (UI), graphical user interfaces (GUI), etc.

[0083] In addition, the storage unit (220) stores data and programs necessary for the operation of the drone controller (200). That is, the storage unit (220) can store a plurality of application programs running on the drone controller (200), data for the operation of the drone controller (200), and commands. At least some of these application programs can be downloaded from an external server via wireless communication. In addition, at least some of these application programs can exist on the drone controller (200) from the time of shipment for the basic functions of the drone controller (200).

[0084] Meanwhile, the application is stored in the storage unit (220), installed in the drone controller (200), and can be driven by the control unit (240) to perform the operation (or function) of the drone controller (200).

[0085] In addition, the storage unit (220) may include at least one storage medium among flash memory type, hard disk type, multimedia card micro type, card type memory (for example, SD or XD memory, etc.), magnetic memory, magnetic disk, optical disk, RAM, SRAM, ROM, EEPROM, and PROM. In addition, the drone controller (200) may operate a web storage that performs the storage function of the storage unit (220) on the Internet, or may operate in relation to the web storage.

[0086] In addition, the storage unit (220) stores optical characteristic data related to the inspection target light received under the control of the control unit (240), location information of the drone (100) at the time of measurement, image information at the time of measurement, unique identification information of the drone (100), etc.

[0087] The display unit (230) can display various contents, such as various menu screens, using the user interface and / or graphical user interface stored in the storage unit (220) under the control of the control unit (240). Here, the contents displayed on the display unit (230) include various text or image data (including various information data) and menu screens including data such as icons, list menus, and combo boxes. In addition, the display unit (230) may be a touch screen.

[0088] In addition, the display unit (230) may include at least one of a liquid crystal display (LCD), a thin film transistor-liquid crystal display (TFT LCD), an organic light-emitting diode (OLED), a flexible display, a 3D display, an e-ink display, and a light emitting diode (LED).

[0089] In addition, the display unit (230) displays optical characteristic data related to the inspection target light received under the control of the control unit (240), location information of the drone (100) at the time of measurement, image information at the time of measurement, unique identification information of the drone (100), etc.

[0090] At this time, the drone controller (200) may further include a voice output unit (not shown) for outputting voice information (or sound information) corresponding to optical characteristic data related to the received inspection target light, location information of the drone (100) at the time of measurement, image information at the time of measurement, unique identification information of the drone (100), etc.

[0091] Here, the voice output unit outputs voice information included in a signal processed by the control unit (240). The voice output unit (140) may include a receiver, a speaker, a buzzer, etc. In addition, the voice output unit outputs a guidance voice generated by the control unit (150).

[0092] The control unit (controller, or MCU (microcontroller unit) (240) executes the overall control function of the drone controller (200).

[0093] In addition, the control unit (240) executes the overall control function of the drone controller (200) using the programs and data stored in the storage unit (220). The control unit (240) may include RAM, ROM, CPU, GPU, and a bus, and the RAM, ROM, CPU, GPU, etc. may be connected to each other via a bus. The CPU may access the storage unit (220) and perform booting using the O / S stored in the storage unit (220), and may perform various operations using various programs, contents, data, etc. stored in the storage unit (220).

[0094] In addition, the control unit (240) generates a flight scenario to measure optical characteristic data related to a target beacon to be inspected located around the destination after moving the drone (100) to the destination. Here, the flight scenario includes information on the departure point and the destination (including, for example, coordinate information of the departure point, coordinate information of the destination, etc.), flight path information from the departure point to the destination, departure time information, information on the target beacon to be inspected (including, for example, unique number / unique identification information of the beacon, coordinate information of the beacon, etc.), optical characteristic data measurement command information of the beacon, unique identification information of the drone (100), etc., in order to measure optical characteristic data related to the target beacon to be inspected. At this time, the coordinate information includes latitude and longitude.

[0095] Additionally, the destination may be a location where the drone (100) moves to measure optical characteristic data related to the inspection target light, and the destination may be multiple in relation to the same inspection target light or multiple different inspection target light.

[0096] Additionally, the control unit (240) transmits the generated flight scenario, unique identification information of the drone controller (200), etc. to the drone (100) through the communication unit (210).

[0097] In addition, the control unit (240) receives, through the communication unit (210), optical characteristic data related to the inspection target light transmitted from the drone (100) according to the flight scenario, location information of the drone (100) at the time of measurement, image information at the time of measurement, unique identification information of the drone (100), etc.

[0098] At this time, the control unit (240) may determine the validity of the received information (including optical characteristic data, location information of the drone (100), image information, etc.) based on the received unique identification information of the drone (100).

[0099] That is, the control unit (240) determines whether the unique identification information of the received drone (100) is included in the unique identification information of one or more drones pre-stored (or registered) in the storage unit (220).

[0100] As a result of the judgment, if the unique identification information of the received drone (100) is included in the unique identification information of one or more pre-registered drones, the control unit (240) determines that the received information is valid.

[0101] In addition, if, as a result of the judgment, the unique identification information of the received drone (100) is not included in the unique identification information of one or more pre-registered drones, the control unit (240) determines that the received information is invalid and discards or deletes the received information.

[0102] In addition, the control unit (240) transmits optical characteristic data related to the received inspection target light, location information of the drone (100) at the time of measurement, image information at the time of measurement, etc. to the management terminal (300) through the communication unit (210).

[0103] At this time, the control unit (240) may control in real time the position and attitude control function or process of the drone (100), the optical characteristic data measurement function, the position information collection function of the drone (100), the image information acquisition function, etc., by user control or user operation / input of the drone controller (200).

[0104] That is, after the drone (100) arrives at the destination, it transmits information about the arrival at the destination in real time to the drone controller (200), and then the control unit (240) controls the position and attitude control function / process of the drone (100), the optical characteristic data measurement function, the position information collection function of the drone (100), the image information acquisition function, etc. in real time by the user control of the drone controller (200).

[0105] In this way, the drone controller (200) can perform general functions for controlling the drone (100).

[0106] Additionally, the drone controller (200) can control various measuring devices or sensor units / measurement units configured in the drone (100) to collect various information related to the lighthouse.

[0107] The management terminal (300) communicates with the drone (100), drone controller (200), etc.

[0108] In addition, the management terminal (300) analyzes and verifies the optical performance related to the inspection target light based on the difficulty information (or observation information) related to the inspection target light provided from the drone controller (200), and outputs the verification result.

[0109] The management terminal (300) can be applied to a smart phone, a portable terminal, a mobile terminal, a foldable terminal, a personal digital assistant (PDA), a portable multimedia player (PMP) terminal, a telematics terminal, a navigation terminal, a personal computer, a notebook computer, a slate PC, a tablet PC, an ultrabook, a wearable device (e.g., a smartwatch, a smart glass, a head mounted display (HMD), etc.), a Wibro terminal, an IPTV (Internet Protocol Television) terminal, a smart TV, a digital broadcasting terminal, an audio video navigation (AVN) terminal, an audio / video (A / V) system, a flexible terminal, a digital signage device, an artificial intelligence speaker, and a server.

[0110] The management terminal (300) can be composed of a terminal communication unit (310), a terminal storage unit (320), a terminal display unit (330), a terminal voice output unit (340), and a terminal control unit (350).

[0111] The terminal communication unit (310) communicates with any internal component or at least one external terminal via a wired / wireless communication network. At this time, the external terminal may include a drone (100), a drone controller (200), etc. Here, wireless Internet technologies include wireless LAN (WLAN), DLNA, Wibro, WiMAX, HSDPA, HSUPA, IEEE 802.16, long-term evolution (LTE), LTE-A, wideband wireless mobile communication service (WMBS), etc., and the terminal communication unit (310) transmits and receives data according to at least one wireless Internet technology including Internet technologies not listed above. In addition, short-range communication technologies may include Bluetooth, RFID, infrared data acquisition (IrDA), UWB, Zigbee, near field communication (NFC), ultrasonic communication (USC), visible light communication (VLC), Wi-Fi, Wi-Fi Direct, etc. Additionally, wired communication technologies may include power line communication (PLC), USB communication, Ethernet, serial communication, and optical / coaxial cables.

[0112] In addition, the terminal communication unit (310) can mutually transmit information to any terminal via a universal serial bus (USB). In addition, the terminal communication unit (310) transmits and receives wireless signals with a base station, a drone (100), a drone controller (200), etc. on a mobile communication network constructed according to technical standards or communication methods for mobile communication (e.g., GSM, CDMA, CDMA2000, EV-DO, WCDMA, HSDPA, HSUPA, LTE, LTE-A, etc.).

[0113] In addition, the terminal communication unit (310) receives optical characteristic data related to the inspection target light source transmitted from the drone controller (200) under the control of the terminal control unit (350), location information of the drone (100) at the time of measurement, image information at the time of measurement, etc.

[0114] The terminal storage unit (320) stores various user interfaces (UI), graphical user interfaces (GUI), etc.

[0115] In addition, the terminal storage unit (320) stores data and programs necessary for the operation of the management terminal unit (300). That is, the terminal storage unit (320) can store a plurality of application programs running on the management terminal unit (300), data for the operation of the management terminal unit (300), and commands. At least some of these application programs can be downloaded from an external server via wireless communication. In addition, at least some of these application programs can exist on the management terminal unit (300) from the time of shipment for the basic functions of the management terminal unit (300). Meanwhile, the application programs can be stored in the terminal storage unit (320), installed on the management terminal unit (300), and driven by the terminal control unit (350) to perform the operation (or function) of the management terminal unit (300).

[0116] In addition, the terminal storage unit (320) may include at least one storage medium among flash memory type, hard disk type, multimedia card micro type, card type memory (e.g., SD or XD memory, etc.), magnetic memory, magnetic disk, optical disk, RAM, SRAM, ROM, EEPROM, and PROM. In addition, the management terminal unit (300) may operate a web storage that performs the storage function of the terminal storage unit (320) on the Internet, or may operate in relation to the web storage.

[0117] In addition, the terminal storage unit (320) stores optical characteristic data related to the inspection target light received under the control of the terminal control unit (350), location information of the drone (100) at the time of measurement, image information at the time of measurement, etc.

[0118] The terminal display unit (or terminal display unit) (330) can display various contents, such as various menu screens, using the user interface and / or graphical user interface stored in the terminal storage unit (320) under the control of the terminal control unit (350). Here, the contents displayed on the terminal display unit (330) include various text or image data (including various information data) and menu screens including data such as icons, list menus, and combo boxes. In addition, the terminal display unit (330) may be a touch screen.

[0119] In addition, the terminal display unit (330) may include at least one of a liquid crystal display (LCD), a thin film transistor liquid crystal display (TFT LCD), an organic light-emitting diode (OLED), a flexible display, a 3D display, an e-ink display, and a light emitting diode (LED).

[0120] In addition, the terminal display unit (330) displays optical characteristic data related to the inspection target light received under the control of the terminal control unit (350), location information of the drone (100) at the time of measurement, image information at the time of measurement, etc.

[0121] The terminal voice output unit (340) outputs voice information included in a signal that has been processed by the terminal control unit (350). Here, the terminal voice output unit (340) may include a receiver, a speaker, a buzzer, etc.

[0122] Additionally, the terminal voice output unit (340) outputs a guidance voice generated by the terminal control unit (350).

[0123] In addition, the terminal voice output unit (340) outputs voice information (or sound information) corresponding to optical characteristic data related to the inspection target light received under the control of the terminal control unit (350), location information of the drone (100) at the time of measurement, image information at the time of measurement, etc.

[0124] The terminal control unit (MCU (microcontroller unit)) (350) executes the overall control function of the management terminal unit (300). In addition, the terminal control unit (350) executes the overall control function of the management terminal unit (300) using programs and data stored in the terminal storage unit (320). The terminal control unit (350) may include RAM, ROM, CPU, GPU, and a bus, and the RAM, ROM, CPU, GPU, etc. may be connected to each other through a bus. The CPU may access the terminal storage unit (320) and perform booting using the O / S stored in the terminal storage unit (320), and may perform various operations using various programs, contents, data, etc. stored in the terminal storage unit (320).

[0125] In addition, the terminal control unit (350) utilizes multiple previously collected learning datasets as data for continuous machine learning (or deep learning). Here, the input dataset (or learning dataset) for machine learning can be divided into a training set and a test set at a preset ratio (e.g., 7:3) to perform training and testing functions. In addition, the input dataset for machine learning includes optical characteristic data related to the light fixture to be collected later, location information of the drone (100) at the time of measurement, image information at the time of measurement, etc. In addition, the output dataset for machine learning includes analysis results related to the light fixture, analysis results of backlight related to the light fixture, etc., which are parts to be predicted.

[0126] That is, the terminal control unit (350) performs a learning function to set (or determine / generate) analysis results related to the inspection target light and the port backlight analysis results in relation to specific raw data for the optical performance analysis model and the port backlight analysis model through preset learning data.

[0127] The terminal control unit (350) can store raw data (including, for example, information / data measured / collected in relation to a lighthouse) in parallel and in a distributed manner, refine unstructured data, structured data, and semi-structured data contained in the stored raw data (or including data for learning, etc.), perform preprocessing including classification as metadata, analyze the preprocessed data including data mining, and conduct learning, training, and testing based on at least one type of machine learning to build big data. At this time, the at least one type of machine learning can be formed by any one or a combination of at least one of supervised learning, semi-supervised learning, unsupervised learning, reinforcement learning, and deep reinforcement learning.

[0128] In this way, the terminal control unit (350) performs a learning function for the optical performance analysis model and the port backlight analysis model in the form of neural networks through learning data, etc.

[0129] In addition, the terminal control unit (350) receives characteristic data related to the inspection target light transmitted from the drone controller (200), location information of the drone (100) at the time of measurement, and image information at the time of measurement.

[0130] In addition, the terminal control unit (350) analyzes the received optical characteristic data related to the inspection target light, the location information of the drone (100) at the time of measurement, the image information at the time of measurement, etc., to generate an analysis result including the optical performance of the corresponding inspection target light, information on whether the corresponding inspection target light is operating normally, etc., and generates a harbor backlight analysis result related to the corresponding inspection target light. At this time, in order to reduce the influence of noise, if the received image information is an image, the terminal control unit (350) may synthesize a plurality of consecutive images and use the plurality of synthesized images when generating the analysis result and the harbor backlight analysis result. That is, the terminal control unit (350) analyzes the received optical characteristic data related to the inspection target light, the location information of the drone (100) at the time of measurement, the image information at the time of measurement, etc., according to preset reference conditions, to generate an analysis result including the optical performance (or optical performance information) of the corresponding inspection target light, information on whether the corresponding inspection target light is operating normally, etc. Here, the analysis results include the average / minimum / maximum of luminous flux, the average / minimum / maximum of chromaticity, the average / minimum / maximum of vertical divergence angle, the average / minimum / maximum of horizontal divergence angle, the average / minimum / maximum of static luminosity, the average / minimum / maximum of effective luminosity, the average / minimum / maximum of homogeneity, the average / minimum / maximum of daylight detector, the average / minimum / maximum of audible sound travel distance, etc.

[0131] At this time, the terminal control unit (350) may compare the standard optical characteristic data related to a preset standard light source (or a light source including a standard light source) with the optical characteristic data related to the received light source to be inspected, analyze the optical performance of the light source to be inspected, and generate an analysis result.

[0132] In addition, the terminal control unit (350) performs machine learning (or artificial intelligence / deep learning) using optical characteristic data related to the received inspection target light, location information of the drone (100) at the time of measurement, image information at the time of measurement, etc. as input values ​​of a pre-learned optical performance analysis model, and generates (or calculates / produces / sets / determines) an analysis result related to the inspection target light based on the machine learning result (or artificial intelligence result / deep learning result).

[0133] That is, the terminal control unit (350) performs machine learning using input values ​​including optical characteristic data related to the received inspection target light, location information of the drone (100) at the time of measurement, image information at the time of measurement, etc. as input values ​​of the optical performance analysis model, and generates analysis results related to the inspection target light based on the machine learning results.

[0134] In addition, the terminal control unit (350) analyzes the optical characteristic data related to the received inspection target light, the location information of the drone (100) at the time of measurement, the image information at the time of measurement, etc., to confirm (or determine) whether the location of the inspection target light is appropriate (or whether other preset conditions are satisfied).

[0135] If the location of the corresponding inspection target light is confirmed to be appropriate as a result of the verification (or judgment), the terminal control unit (350) generates a harbor backlight analysis result including information indicating that the location of the corresponding inspection target light is appropriate, spectrum information using image information, coordinate information of the current inspection target light, etc. Here, the spectrum information may be a spectrum corresponding to the brightness value (or illuminance) of the image information.

[0136] In addition, if the location of the corresponding inspection target light is determined to be inappropriate as a result of the verification (or judgment), the terminal control unit (350) uses the backlight and geographical information of the corresponding inspection target light to generate optimal placement coordinate information (or optimal placement location information) of the corresponding inspection target light, and generates a port backlight analysis result including the generated optimal placement coordinate information of the corresponding inspection target light, spectrum information using image information, and coordinate information of the current inspection target light.

[0137] In addition, the terminal control unit (350) performs machine learning (or artificial intelligence / deep learning) using the received optical characteristic data related to the inspection target light fixture, the location information of the drone (100) at the time of measurement, the image information at the time of measurement, and the geographical information related to the backlight of the inspection target light fixture as input values ​​of a pre-learned port backlight analysis model, and generates (or calculates / produces / sets / determines) the port backlight analysis result related to the inspection target light fixture based on the machine learning result (or artificial intelligence result / deep learning result).

[0138] That is, the terminal control unit (350) performs machine learning using input values ​​including optical characteristic data related to the received inspection target light, location information of the drone (100) at the time of measurement, image information at the time of measurement, geographical information related to the backlight of the inspection target light, etc. as input values ​​of the port backlight analysis model, and generates a port backlight analysis result related to the inspection target light based on the machine learning result.

[0139] In addition, the terminal control unit (350) displays (or outputs) the generated analysis results, the generated port backlight analysis results, etc. through the terminal display unit (330) and / or the terminal voice output unit (340).

[0140] In addition, the terminal control unit (350) can analyze the received power generation information and remaining capacity information to generate expected operation period information of the target light fixture. The expected operation period information can calculate the period during which the target light fixture can operate by using the daily power generation of the solar power generation unit, the remaining capacity of the battery, and the daily consumption of the target light fixture. The calculated expected operation period information can be displayed on the management terminal unit (300). The expected operation period information can perform machine learning (or artificial intelligence / deep learning) using the input value of a pre-learned period prediction model, and generate (or calculate / produce / set / decide) an analysis result based on the machine learning result (or artificial intelligence result / deep learning result).

[0141] In the embodiment of the present invention, the drone controller (200) and the management terminal (300) are described separately, but this is not limited to the drone controller (200) and the management terminal (300) and may be configured as a single device.

[0142] In this way, the management terminal (300) can verify the optical performance of the inspection target light based on various information related to the inspection target light transmitted from the drone (100) via the drone controller (200), and can suggest optimal coordinate information related to the inspection target light so that the inspection target light can be operated in an optimal environment.

[0143] In addition, in this way, the optical characteristic data of a light fixture installed on site can be measured using a drone equipped with an optical measurement unit, and the measured optical characteristic data of the light fixture can be analyzed.

[0144] In addition, in this way, the port backlight around the lighthouse measured using a drone can be analyzed, and the optimal location for placing navigational signs can be suggested based on the analysis of the port backlight.

[0145] Below, a method for measuring the brightness of a light fixture using a drone according to the present invention is described.

[0146] First, the drone controller (200) moves the drone (100) to a destination and then creates a flight scenario to measure optical characteristic data related to an inspection target light fixture located around the destination. Here, the flight scenario includes information on a departure point and a destination (including, for example, coordinate information of the departure point, coordinate information of the destination, etc.), flight path information from the departure point to the destination, departure time information, information on the inspection target light fixture (including, for example, a unique number / unique identification information of the light fixture, coordinate information of the light fixture, etc.), optical characteristic data measurement command information of the light fixture, unique identification information of the drone (100), etc., in order to measure optical characteristic data related to the inspection target light fixture. At this time, the coordinate information includes latitude and longitude. In addition, the destination may be a location where the drone (100) moves to measure optical characteristic data related to the inspection target light fixture, and the destination may be plural in relation to the same inspection target light fixture or plural different light fixtures.

[0147] Additionally, the drone controller (200) transmits the generated flight scenario, unique identification information of the drone controller (200), etc. to the drone (100).

[0148] For example, the first drone controller (200) generates a first flight scenario including coordinate information of a first departure point, coordinate information of a first destination, first flight path information from the first departure point to the first destination, first departure time information (e.g., 20:30:00 on June 10, 2022), first unique identification information of the first lighthouse (e.g., AOA12345), coordinate information of the first lighthouse, optical characteristic data measurement command information of the first lighthouse, and unique identification information of the first drone (e.g., DR25801) to measure optical characteristic data in relation to the first lighthouse located in the South Sea.

[0149] Additionally, the first drone controller transmits the generated first flight scenario, unique identification information of the first drone controller (e.g., DC98765), etc. to the first drone (100) (S510). Thereafter, the drone (100) receives the flight scenario, unique identification information of the drone controller (200), etc. transmitted from the drone controller (200).

[0150] Additionally, the drone (100) takes off according to the departure time information based on the received flight scenario and flies to the destination.

[0151] In addition, the drone (100) measures optical characteristic data related to the inspection target light fixture based on optical characteristic data measurement command information of the inspection target light fixture included in the flight scenario within a preset distance range (e.g., 200 m to 300 m) from the corresponding inspection target light fixture corresponding to the arrived destination. At this time, the drone (100) collects location information of the corresponding drone (100) at the time of optical characteristic data measurement.

[0152] In addition, the drone (100) sets the settings of the camera equipped in the drone (100) based on the environmental information of the area where the drone (100) is located, and then acquires (or photographs) image information about the front of the drone (100) (or the direction of the inspection target light from the drone (100)) at the time of measuring the characteristic data.

[0153] Here, the optical characteristic data (or optical characteristic data / optical performance data related to the inspection target light fixture) includes the luminous flux related to the light source emitted from the inspection target light fixture (or the luminous flux of the bulb used in the inspection target light fixture), chromaticity (including the spectrum, chromaticity, etc. of the lens and color filter of the inspection target light fixture), vertical divergence angle (or including the light distribution and divergence angle with respect to the vertical axis of the inspection target light fixture), horizontal divergence angle (or a test of the light distribution and divergence angle with respect to the horizontal axis of the inspection target light fixture), static luminosity, effective luminous intensity (or the effective luminous intensity of a flash by measuring the instantaneous luminous intensity of the inspection target light fixture), illuminance (or including the light / flash time, dark time, and cycle time according to the illuminance standard), daylight detector (or including the illuminance of the light on / off depending on the ambient brightness, etc.), audible sound distance, measurement date, and time information, etc. In addition, the location information of the corresponding drone (100) at the time of measuring the optical characteristic data includes the height from the ground or sea level, the latitude and longitude of the corresponding drone measured by a GPS receiver (not shown), the distance between the corresponding inspection target light and the drone (100), etc. In addition, the image information for the front of the corresponding drone (100) at the time of measuring the optical characteristic data (or the direction from the corresponding drone (100) to the inspection target light) may be a high-resolution image (for example, 4K resolution or higher) acquired at a preset cycle in order to measure the harbor backlight related to the corresponding inspection target light.

[0154] For example, the first drone receives the first flight scenario transmitted from the first drone controller, unique identification information of the first drone controller, etc.

[0155] In addition, when the received unique identification information of the first drone controller is determined to be valid, the first drone takes off at the time based on the first departure time information included in the received first flight scenario (e.g., 20:30:00 on June 10, 2022) and flies to the first destination corresponding to the coordinate information of the first destination. In addition, after arriving at the first destination, the first drone measures the first optical characteristic data related to the light source radiated from the first light fixture at a first preset cycle based on the optical characteristic data measurement command information of the first light fixture included in the first flight scenario, collects real-time location information of the first drone at the time of measuring the first optical characteristic data, and obtains first image information (e.g., including still images, videos, etc.) from the direction in which the first drone looks at the first light fixture at the time of measuring the first optical characteristic data. At this time, the first optical characteristic data, the location information of the first drone, the first image information, etc. may be synchronized with each other (S520).

[0156] Thereafter, the drone (100) transmits optical characteristic data related to the measured inspection target light, location information of the drone (100) at the collected measurement point (or characteristic data measurement point), image information at the acquired (or photographed) measurement point, unique identification information of the drone (100), etc. to the drone controller (200).

[0157] For example, the first drone transmits the measured first optical characteristic data, real-time location information of the first drone at the time of measuring the collected first optical characteristic data, first image information from the direction in which the first drone looks at the first light fixture at the time of measuring the acquired first optical characteristic data, unique identification information of the first drone (e.g., DR25801), etc. to the first drone controller (S530).

[0158] Thereafter, the drone controller (200) receives optical characteristic data related to the inspection target light transmitted from the drone (100), location information of the drone (100) at the time of measurement, image information at the time of measurement, unique identification information of the drone (100), etc.

[0159] In addition, the drone controller (200) transmits optical characteristic data related to the received inspection target light, location information of the drone (100) at the time of measurement, image information at the time of measurement, etc. to the management terminal (300). At this time, the drone controller (200) can also control in real time the location and attitude control function (or process) of the drone (100), the optical characteristic data measurement function, the location information collection function of the drone (100), the image information acquisition function, etc. by user control (or user operation / input) of the drone controller (200).

[0160] For example, the first drone controller receives first optical characteristic data transmitted from the first drone, real-time location information of the first drone at the time of measuring the first characteristic data, first image information from the direction in which the first drone is looking at the first light fixture at the time of measuring the first optical characteristic data, unique identification information of the first drone, etc.

[0161] In addition, when the first drone controller determines that the received unique identification information of the first drone is valid, it transmits the received first optical characteristic data, real-time location information of the first drone at the time of measuring the first optical characteristic data, first image information from the direction in which the first drone is looking at the first light fixture at the time of measuring the first optical characteristic data, etc. to the first management terminal (300) (S540).

[0162] Thereafter, the management terminal (300) receives optical characteristic data related to the inspection target light transmitted from the drone controller (200), location information of the drone (100) at the time of measurement, image information at the time of measurement, etc.

[0163] In addition, the management terminal (300) analyzes the optical characteristic data related to the received inspection target light, the location information of the drone (100) at the time of measurement, the image information at the time of measurement, etc., to generate an analysis result including the optical performance of the inspection target light, information on whether the inspection target light is operating normally, etc., and generates a port backlight analysis result related to the inspection target light.

[0164] That is, the management terminal (300) analyzes the received optical characteristic data related to the inspection target light fixture, the location information of the drone (100) at the time of measurement, the image information at the time of measurement, etc., according to preset reference conditions, and generates an analysis result including the optical performance (or optical performance information) of the inspection target light fixture, and information on whether the inspection target light fixture is operating normally. Here, the analysis result includes the average / minimum / maximum value of the luminous flux, the average / minimum / maximum value of the chromaticity, the average / minimum / maximum value of the vertical divergence angle, the average / minimum / maximum value of the horizontal divergence angle, the average / minimum / maximum value of the static luminous intensity, the average / minimum / maximum value of the effective luminous intensity, the average / minimum / maximum value of the homogeneity, the average / minimum / maximum value of the daylight detector, the average / minimum / maximum value of the audible sound travel distance, etc.

[0165] In addition, the management terminal (300) analyzes the optical characteristic data related to the received inspection target light, the location information of the drone (100) at the time of measurement, the image information at the time of measurement, etc., to confirm (or determine) whether the location of the inspection target light is appropriate (or whether other preset conditions are satisfied).

[0166] If the location of the corresponding inspection target light is confirmed to be appropriate as a result of the verification (or judgment), the management terminal (300) generates a port backlight analysis result including information indicating that the location of the corresponding inspection target light is appropriate, spectrum information using image information, and coordinate information of the current inspection target light. Here, the spectrum information may be a spectrum corresponding to the brightness value (or illuminance) for the image information.

[0167] In addition, if the location of the corresponding inspection target light is determined to be inappropriate as a result of the verification (or judgment), the management terminal (300) uses geographical information related to the backlight of the corresponding inspection target light to generate optimal placement coordinate information (or optimal placement position information) of the corresponding inspection target light, and generates a port backlight analysis result including the generated optimal placement coordinate information of the corresponding inspection target light, spectrum information using image information, and coordinate information of the current inspection target light.

[0168] Additionally, the management terminal (300) displays (or outputs) the generated analysis results, the generated port backlight analysis results, etc.

[0169] For example, the first terminal receives first characteristic data related to the first light fixture transmitted from the first drone controller, real-time location information of the first drone at the time of measuring the first optical characteristic data, first image information from the direction in which the first drone is looking at the first light fixture at the time of measuring the first optical characteristic data, power generation information, remaining capacity information, etc.

[0170] In addition, the first terminal analyzes the first optical characteristic data related to the received first light fixture, the real-time location information of the first drone at the time of measuring the first characteristic data, the first image information from the direction in which the first drone looks at the first light fixture at the time of measuring the first optical characteristic data, etc., according to preset reference conditions, thereby checking the optical performance of the first light fixture, and after checking that the first light fixture is operating normally, generating a first analysis result including the optical performance information of the first light fixture, information on the normal operating state of the first light fixture, etc.

[0171] In addition, the first terminal analyzes the first optical characteristic data related to the received first light fixture, the real-time location information of the first drone at the time of measuring the first characteristic data, the first image information from the direction in which the first drone looks at the first light fixture at the time of measuring the first optical characteristic data, etc. according to other conditions set in advance, and when the location of the first light fixture is confirmed to be inappropriate based on the analysis of the harbor backlight related to the first light fixture, the first terminal generates optimal second arrangement coordinate information of the first light fixture based on the geographical information related to the backlight of the first light fixture, and generates a first port backlight analysis result including the generated first arrangement coordinate information, first spectrum information generated based on the first image information, and current coordinate information of the first light fixture.

[0172] Additionally, the first terminal can analyze power generation information and remaining capacity information to generate expected operation period information of the target light fixture and display the results.

[0173] Additionally, the first terminal displays the generated first analysis result, the generated first port backlight analysis result, etc. (S550).

[0174] As described above, the embodiment of the present invention uses a drone equipped with an optical measurement unit to measure the optical characteristic data of a beacon installed in a field, analyzes the measured optical characteristic data of the beacon, and replaces the measurement of the effective luminosity of a manned or unmanned navigational mark using a measurement line, reduces the operating budget and time of the measurement line, takes the lead in the technology for measuring navigational marks using a drone, and provides precise measurements.

[0175] In addition, as described above, the embodiment of the present invention analyzes the harbor backlight around the lighthouse measured using a drone, and proposes an optimal navigational mark placement location based on the harbor backlight analysis, thereby improving the operational efficiency of the lighthouse.

[0176] Meanwhile, referring to FIG. 6, the system for measuring the brightness of a light fixture using a drone according to the present invention may further include a GPS module (1A) installed in the light fixture to be inspected (1) to collect real-time location information of the light fixture to be inspected (1) so that the light fixture to be inspected (1) can be tracked and searched via a drone (100) when the light fixture to be inspected (1) is lost, and a location information transmission module (1B) that wirelessly transmits the location information of the light fixture to be inspected (1) collected by the GPS module (1A) to the outside.

[0177] The drone communication unit (140) provided in the drone (100) is configured to receive location information transmitted from the location information transmission module (1B), and the drone (100) can receive location information transmitted from the lost inspection target light (1) and fly to a point corresponding to the location information to search and track the lost inspection target light (1). It is preferable that the drone (100) be configured to identify the lost inspection target light (1) using an optical camera for luminance measurement or a separate camera.

[0178] In addition, the system for measuring the brightness of a light source using a drone according to the present invention may further include a detection device (190) including a lidar, radar, or laser scanner mounted on a drone (100) for accurate search and detection of the lost light source (1) when the light source (1) to be inspected is lost and a malfunction occurs in the GPS module (1A) or the location information transmission module (1B) installed on the light source to be inspected (1), or when it is difficult to search using location information and camera images at night or under bad weather conditions. By mounting the detection device (190) on the drone (100), not only wide-area detection of the lost light source to be inspected (1) but also search and detection of various buoys, etc., is possible.

[0179] The above-described system for measuring the brightness of a light fixture using a drone according to the present invention has been described with reference to the attached drawings, but this is merely exemplary, and those skilled in the art will understand that various modifications and equivalent other embodiments are possible from this.

[0180] Therefore, the true scope of technical protection of the present invention should be determined solely by the technical idea of ​​the appended claims.

Claims

1. A drone that measures optical characteristic data for each inspection target light fixture located on a flight path, collects current location information, acquires surrounding image information, collects and transmits information on the amount of power generated by a solar power generation unit for supplying power to the inspection target light fixture, and information on the remaining capacity of a battery that stores the power generated by the solar power generation unit and supplies the stored power to the inspection target light fixture; A drone controller that generates flight path information of the drone and transmits it to the drone, and receives and transmits the optical characteristic data, the location information, the image information, the power generation information, and the remaining capacity information transmitted from the drone; A system for measuring the brightness of a light fixture using a drone, characterized in that it comprises a management terminal unit that receives the optical characteristic data, the location information, the image information, the power generation information, and the remaining capacity information transmitted from the drone controller, analyzes the received optical characteristic data to generate optical performance information of the light fixture to be inspected and operating status information of the light fixture to be inspected, and analyzes the received power generation information and the remaining capacity information to generate expected operation time information of the light fixture to be inspected.

2. In paragraph 1, A system for measuring the brightness of a light fixture using a drone, characterized in that the flight path information includes at least one of departure and destination information of the drone, path information from the departure point to the destination, departure time information, information on the light fixture to be inspected, optical characteristic data measurement command information of the light fixture to be inspected, and unique identification information of the drone.

3. In paragraph 1, A system for measuring the brightness of a light fixture using a drone, characterized in that the above-mentioned optical characteristic data includes at least one of the luminous flux, chromaticity, vertical divergence angle, horizontal divergence angle, dynamic luminosity, effective luminosity, light quality, daylight detector, audible sound distance, and measurement date and time information of the light emitted from the light fixture to be inspected.

4. In paragraph 1, A system for measuring the brightness of a light fixture using a drone, characterized in that when measuring the above-mentioned optical characteristic data, the location information of the drone includes at least one of the height from the ground or sea level, the latitude and longitude of the drone measured by a GPS receiver, and the distance between the light fixture to be inspected and the drone.

5. In paragraph 1, A system for measuring brightness of a light fixture using a drone, characterized in that the drone controller controls in real time at least one of the following processes: the position and attitude control function of the drone, the optical characteristic data measurement function, the drone position information collection function, and the image information acquisition function, according to user control.

6. In paragraph 1, A system for measuring the brightness of a light fixture using a drone, characterized in that the management terminal analyzes optical characteristic data for the light fixture to be inspected, location information of the drone when measuring the optical characteristic data, and image information when measuring the optical characteristic data according to preset reference conditions, thereby generating optical performance information of the light fixture to be inspected and operating status information of the light fixture to be inspected.

7. In paragraph 1, The management terminal analyzes the optical characteristic data for the inspection target light fixture, the location information of the drone when measuring the optical characteristic data, and the image information when measuring the optical characteristic data, to determine whether the location of the inspection target light fixture is appropriate, and when the location of the inspection target light fixture is determined to be inappropriate, generates optimal arrangement coordinate information of the inspection target light fixture using geographical information related to the backlight of the inspection target light fixture, and generates a harbor backlight analysis result including the optimal arrangement coordinate information of the inspection target light fixture generated, spectrum information using the image information, and coordinate information of the current inspection target light fixture. A system for measuring the brightness of a light fixture using a drone.

8. In paragraph 1, A GPS module installed in the above inspection target light to collect real-time location information of the above inspection target light; It further comprises a location information transmission module that wirelessly transmits the location information of the inspection target light collected from the GPS module to the outside; A system for measuring the brightness of a light fixture using a drone, characterized in that the drone is capable of receiving location information transmitted from the location information transmission module.

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