Building exterior cleaning system using drones and mobility

Abstract

The present invention relates to a building exterior wall cleaning system using drones and mobility. Specifically, the building exterior wall cleaning system using drones and mobility comprises: an autonomous flying drone that autonomously flies along the exterior wall of a target building and performs exterior wall cleaning work by spraying a cleaning solution onto the exterior wall; a ground support mobility formed to allow the autonomous flying drone to land and moves via autonomous driving to a designated drone landing site; and an integrated control server that is communicationally connected to the autonomous flying drone and the ground support mobility and receives real-time flight information from the autonomous flying drone.

Description

Technology Field

[0001] The present invention relates to a building exterior wall cleaning system using drones and mobility. It belongs to a technical field capable of cleaning building exterior walls more efficiently by utilizing autonomous flying drones and ground-supported mobility. Background Technology

[0002] As buildings become increasingly tall and complex due to urbanization and advancements in construction technology, maintaining and managing the cleanliness of building exteriors is crucial not only for urban aesthetics but also for extending the lifespan of the buildings.

[0003] Generally, cleaning building exteriors has primarily been performed manually by workers riding directly on gondolas or ropes. This method poses serious safety issues, such as the constant risk of falls, as workers are directly exposed to high altitudes. Additionally, there are problems such as the significant time and cost involved in installing and dismantling gondolas, and the inconsistent quality of cleaning depending on the skill level of the workers.

[0004] As an alternative to address these problems, technology utilizing drones (unmanned aerial vehicles) for cleaning building exteriors has recently emerged. Using drones eliminates the need for workers to ascend to high altitudes, which can drastically reduce the risk of safety accidents and allows for relatively easy access to the exterior walls of buildings with complex structures.

[0005] Accordingly, the present invention proposes a building exterior wall cleaning system that intelligently responds to various conditions and structural characteristics of the building exterior wall to improve cleaning quality without damaging the wall, and maximizes the efficiency of building exterior wall cleaning operations by automating the drone recharging and cleaning solution resupply processes. Prior art literature

[0006] (01) Korean Published Patent No. 10-2025-0009293 (January 17, 2025) The problem to be solved

[0007] The present invention aims to solve the aforementioned problems, and the objective of the present invention is to provide a building exterior wall cleaning system using a drone and mobility that can automatically adjust the spray pressure intensity of a cleaning solution based on the structural characteristics of the building exterior wall.

[0008] In addition, the purpose is to provide a building exterior cleaning system using drones and mobility that provides a docking environment capable of landing to replace the cleaning fluid and battery of the autonomous drone.

[0009] In addition, the purpose is to provide a building exterior cleaning system using drones and mobility that can calculate the estimated consumption of cleaning solution according to the severity of contamination at each cleaning location and assign a cleaning flight path based on a building exterior map generated through 3D modeling.

[0010] The above and other objects and advantages of the present invention will become apparent from the following description describing preferred embodiments. means of solving the problem

[0011] A building exterior wall cleaning system using a drone and mobility according to an embodiment of the present invention for achieving the above-mentioned purpose comprises: an autonomous flying drone that autonomously flies along the exterior wall of a target building and performs exterior wall cleaning work by spraying a cleaning solution onto the exterior wall; a ground support mobility formed to allow the autonomous flying drone to land and moves via autonomous driving to a designated drone landing site; and an integrated control server that is communicationally connected to the autonomous flying drone and the ground support mobility and receives real-time flight information from the autonomous flying drone. The autonomous flying drone automatically adjusts the spray pressure intensity of the cleaning solution based on exterior wall structural features derived by analyzing a building exterior wall image captured through a camera equipped with the drone, and the real-time flight information includes the building exterior wall image, real-time flight location coordinates, battery, and remaining cleaning solution amount information.

[0012] In an embodiment, the autonomous flying drone automatically adjusts the spray pattern angle of the cleaning liquid based on the distance from the outer wall detected by the equipped ultrasonic sensor.

[0013] In an embodiment, the cleaning solution comprises a detergent for removing organic matter and pure water for removing inorganic matter, and the autonomous flying drone analyzes a contaminated object in a unit area detected from an image of the building exterior wall through an artificial intelligence-based contaminant identification model to identify one of the types of contaminants, either organic or inorganic contaminants, and as the contaminated object in the unit area is identified as one of the types of contaminants, the cleaning solution selectively sprays either the detergent for removing organic matter or the pure water for removing inorganic matter.

[0014] In an embodiment, the integrated control server includes an object detection unit that detects contaminated area objects by cleaning work location from the building exterior wall image, a state diagnosis unit that diagnoses the contamination severity status by analyzing the contaminated area objects by cleaning work location through an artificial intelligence-based contamination status diagnosis model, and an integrated analysis unit that calculates the estimated cleaning fluid consumption by cleaning work location by applying the area size of the contaminated area objects by cleaning work location and the contamination severity status to a preset cleaning fluid consumption calculation formula.

[0015] In an embodiment, the integrated analysis unit includes a map generation unit that generates a building exterior wall map through 3D modeling of the building exterior wall shape detected from the building exterior wall image; a path management unit that generates a cleaning work flight path to fly the entire building exterior wall by the shortest distance using the building exterior wall map and assigns it to the autonomous flight drone; a status visualization unit that visualizes the contamination severity status of the contaminated area object by cleaning work location identified from the building exterior wall map in a specific color and displays it on the building exterior wall map; and a drone control unit that displays the movement path of the drone object on the building exterior wall map in real time based on location information transmitted from the autonomous flight drone.

[0016] In an embodiment, the path management unit includes a section identification unit that identifies flight sections by speed according to the contamination severity status from the cleaning work flight path, and a speed management unit that assigns a flight speed pattern to the cleaning work flight path so that the flight speed is variably adjusted according to the flight sections by speed.

[0017] In an embodiment, the integrated analysis unit further includes a cleaning status diagnosis unit that diagnoses the cleaning status of contaminated object by cleaning work location by analyzing the before and after cleaning images identified from the building exterior wall image through an artificial intelligence-based cleaning status diagnosis model, and a report generation unit that generates and provides a before and after cleaning comparison report based on the cleaning status of the contaminated object by cleaning work location.

[0018] In an embodiment, the ground support mobility comprises a storage unit formed to accommodate the cleaning fluid, the battery of the autonomous flight drone, and cleaning-related consumables, and a drone docking station formed to allow the autonomous flight drone to land and dock with the storage unit. The drone docking station operates to recharge the cleaning fluid of the autonomous flight drone and replace the battery as the autonomous flight drone and the storage unit are docked. The drone docking station includes a first inventory determination unit that determines the adequacy of the cleaning fluid inventory based on the difference between the amount of cleaning fluid recharged per docking predicted according to the estimated cleaning fluid consumption per cleaning work location and the amount of cleaning fluid provided in the storage unit; a second inventory determination unit that determines the adequacy of the battery count inventory based on the difference between the number of battery replacements predicted according to the cleaning flight time and the number of batteries in the storage unit; and an information relay unit that periodically relays the adequacy of the cleaning fluid inventory and the adequacy of the battery count inventory to an integrated control server (300). Effects of the invention

[0019] According to an embodiment of the present invention, a building exterior wall cleaning system using drones and mobility can improve cleaning quality without damaging the exterior wall and maximize the efficiency of building exterior wall cleaning operations by automating the recharging and cleaning solution resupply processes of the autonomous drone. Brief explanation of the drawing

[0020] FIG. 1 is a schematic diagram showing a building exterior wall cleaning system (1000) using a drone and mobility according to an embodiment of the present invention. FIG. 2 is a block diagram showing an embodiment of the integrated control server (300) of FIG. 1. FIG. 3 is a block diagram showing an embodiment of the integrated management unit (330) of FIG. 2. FIG. 4 is a block diagram specifically illustrating an embodiment of the path management unit (332) of FIG. 3. FIG. 5 is a block diagram showing another embodiment of the integrated management unit (330_1) of FIG. 3. FIG. 6 is an example diagram for explaining the ground support mobility (200) of FIG. 1. FIG. 7 is a block diagram specifically illustrating an embodiment of the drone docking station (220) of FIG. 6. Specific details for implementing the invention

[0021] The present invention will be described in detail below with reference to the embodiments and drawings. These embodiments are presented merely as examples to explain the invention more specifically, and it will be obvious to those skilled in the art that the scope of the invention is not limited by these embodiments.

[0022] Furthermore, unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which the present invention pertains, and in the event of a conflict, the description in this specification, including the definitions, shall prevail.

[0023] To clearly explain the proposed invention in the drawings, parts unrelated to the description have been omitted, and similar parts throughout the specification have been given similar reference numerals. Furthermore, when a part is described as "comprising" a certain component, this means that, unless specifically stated otherwise, it does not exclude other components but may include additional components. Additionally, the term "part" as described in the specification refers to a single unit or block that performs a specific function.

[0024] In each step, identification codes (1st, 2nd, etc.) are used for convenience of explanation and do not describe the order of the steps; the steps may be performed differently from the specified order unless a specific order is clearly indicated in the context. That is, the steps may be performed in the same order as specified, substantially simultaneously, or in the reverse order.

[0025] FIG. 1 is a schematic diagram showing a building exterior wall cleaning system (1000) using a drone and mobility according to an embodiment of the present invention.

[0026] Referring to FIG. 1, a building exterior cleaning system (1000) using drones and mobility may include an autonomous flying drone (100), ground support mobility (200), and an integrated control server (300).

[0027] First, the autonomous flying drone (100) can autonomously fly along the outer wall of the target building and spray cleaning solution onto the outer wall to perform the cleaning work on the outer wall.

[0028] Here, the cleaning solution may include a detergent for removing organic matter and pure water for removing inorganic matter.

[0029] Next, the ground support mobility (200) is formed so that the autonomous flying drone (100) can land, and can move to a designated drone landing site according to the target building via autonomous driving.

[0030] According to an embodiment, ground support mobility (200) can inspect a damaged area of ​​an autonomous flight drone (100) using a drone inspection device (not shown) provided as the autonomous flight drone (100) lands, and provide the flight capability based on the inspection result to an integrated control server (300).

[0031] Next, the integrated control server (300) is connected to the autonomous flying drone (100) and the ground support mobility (200) for communication, and can receive real-time flight information from the autonomous flying drone (100).

[0032] Here, real-time flight information may include images of the building exterior wall captured through a camera (not shown) equipped in the autonomous flight drone (100), real-time flight location coordinates, and information on the remaining amount of battery and cleaning fluid.

[0033] In the present invention, the autonomous flight drone (100) can measure real-time flight position coordinates based on a first flight position coordinate measured through a provided GPS (not shown), a second flight position coordinate estimated according to a building exterior wall feature image captured through a provided camera (not shown), a third flight position coordinate calculated according to acceleration and rotation speed measured through a provided gyroscope (not shown), and a fourth flight position coordinate detected according to a surrounding environment 3D map generated through a provided LiDAR scanner (not shown).

[0034] This autonomous flying drone (100) can use a Kalman Filter algorithm to filter out and remove abnormal flight position coordinates that exceed a specific error range from the first to fourth flight position coordinates.

[0035] An autonomous flying drone (100) according to an embodiment of the present invention can automatically adjust the spray pressure intensity of a cleaning solution based on the exterior wall structural features derived by analyzing an image of the building exterior wall.

[0036] Here, exterior wall structural features are architectural features of the building's exterior wall and may include windows, window frames, vents, louvers, balconies, signage, exterior lighting, protruding members, exterior wall materials, paint peeling, wall material cracking, and silicone finishing.

[0037] Additionally, the autonomous flying drone (100) can automatically adjust the spray angle of the cleaning solution based on the distance from the outer wall detected by the equipped ultrasonic sensor (not shown).

[0038] According to one embodiment, an autonomous flying drone (100) can identify one of the types of contaminants, either organic or inorganic, by analyzing a contaminant object in a unit area detected from an image of a building exterior wall through an artificial intelligence-based contaminant identification model.

[0039] Here, the AI-based contaminant identification model may be an algorithm modeled by learning through machine learning that takes contaminant object samples as input and outputs the type of contaminant for each contaminant object sample. Such a contaminant identification model can receive contaminant objects in a unit area as input and derive an output value corresponding to either organic or inorganic contamination.

[0040] According to another embodiment, the autonomous flying drone (100) may selectively spray either a detergent for removing organic matter or pure water for removing inorganic matter as the contaminated object in the unit area is identified as one type of contaminant.

[0041] For example, the autonomous flying drone (100) can select and spray a cleaning solution as an organic cleaning solution when the contaminated object in the unit area is identified as organic contamination, and select and spray a cleaning solution as pure water for inorganic removal when the contaminated object in the unit area is identified as inorganic contamination.

[0042] According to another embodiment, the autonomous flying drone (100) can transmit the detergent spray path points, where the cleaning liquid is sprayed as an organic matter removal detergent, to the integrated control server (300).

[0043] At this time, the integrated control server (300) can generate a water re-spray path to re-spray the contaminated object in a unit area with pure water for mineral removal after a certain period of time based on the detergent spray path points and assign it to the autonomous flying drone (100).

[0044] According to another embodiment, the autonomous flying drone (100) can stepwise adjust the spraying waiting time of an intensive cleaning mode for sequentially spraying an organic matter removal detergent and an inorganic matter removal pure water based on temperature information detected through a temperature sensor (not shown).

[0045] For example, in the case of summer when the temperature is high, the autonomous flying drone (100) can adjust the spray waiting time of the intensive cleaning mode to a minimum time, and in the case of winter when the temperature is low, the autonomous flying drone (100) can adjust the spray waiting time of the intensive cleaning mode to a maximum time.

[0046] According to another embodiment, the autonomous flying drone (100) can radiate ultrasonic waves toward the contaminant through an ultrasonic radiation device (not shown) provided when the building's outer wall is made of wood.

[0047] According to another embodiment, the autonomous flying drone (100) can irradiate ultraviolet rays through an ultraviolet irradiation device (not shown) provided when the building's exterior wall is coated with a photocatalyst, such as titanium dioxide.

[0048] Hereinafter, the structure of the present invention and the resulting effects are to be explained in more detail through specific embodiments and comparative examples. However, these embodiments are intended to explain the present invention more specifically, and the scope of the present invention is not limited to these embodiments.

[0049] FIG. 2 is a block diagram showing an embodiment of the integrated control server (300) of FIG. 1.

[0050] Referring to FIGS. 1 and FIGS. 2, the integrated control server (300) may include an object detection unit (310), a state diagnosis unit (320), and an integrated management unit (330).

[0051] First, the object detection unit (310) can detect contaminated area objects by cleaning work location from the building exterior wall image.

[0052] Next, the state diagnosis unit (320) can diagnose the severity of contamination by analyzing the contaminated area objects by cleaning work location through an artificial intelligence-based contamination state diagnosis model.

[0053] Here, the AI-based contamination status diagnosis model may be an artificial neural network algorithm modeled by learning through machine learning that takes contaminated object samples as input and outputs the contamination severity grade for each contaminated object sample. This contamination status diagnosis model can receive contaminated area objects for each cleaning operation location as input and output the contamination severity grade.

[0054] Next, the integrated management unit (330) can calculate the estimated amount of cleaning solution consumed per cleaning work location by applying the area size and contamination severity status of the contaminated area object per cleaning work location to a preset cleaning solution consumption calculation formula.

[0055] According to one embodiment, the integrated management unit (330) can predict the cleaning flight time for an exterior wall cleaning operation based on the estimated cleaning fluid consumption per cleaning operation location and the average cleaning fluid consumption per unit time of the autonomous flying drone, and provide the cleaning flight time through a building exterior wall cleaning management service.

[0056] According to another embodiment, the integrated management unit (330) can create a regular subscription service for the building based on an exterior wall cleaning cost estimate prepared according to the estimated cleaning fluid consumption per cleaning work location and the cleaning flight time, and provide it through the building exterior wall cleaning management service.

[0057] According to another embodiment, if the difference between the real-time cleaning fluid usage received from the autonomous flying drone (100) and the estimated cleaning fluid consumption per cleaning work location exceeds a threshold, the integrated management unit (330) may diagnose the autonomous flying drone (100) as either a leakage failure or a nozzle clogging failure.

[0058] FIG. 3 is a block diagram showing an embodiment of the integrated management unit (330) of FIG. 2.

[0059] Referring to FIGS. 1 to 3, the integrated management unit (330) may include a map generation unit (331), a path management unit (332), a status visualization unit (333), and a drone control unit (334).

[0060] First, the map generation unit (331) can generate a building exterior wall map through 3D modeling of the building exterior wall shape detected from the building exterior wall image.

[0061] Next, the route management unit (332) can use the building exterior wall map generated through the map generation unit (331) to generate a cleaning work flight path for flying the entire building exterior wall over the shortest distance and assign it to the autonomous flight drone (100).

[0062] Next, the state visualization unit (333) can visualize the contamination severity status of the contaminated area objects by cleaning work location identified from the building exterior wall map in a specific color and display it on the building exterior wall map.

[0063] Next, the drone control unit (334) can display real-time flight location coordinates received from the autonomous flying drone (100) on a map of the building's exterior wall and provide them through a screen (not shown).

[0064] At this time, the drone control unit (334) can correct the real-time flight position of the autonomous flight drone (100) by adjusting the position error of the cleaning work flight path based on the difference between the cleaning work flight path and the real-time flight position coordinates.

[0065] According to an embodiment, the drone control unit (334) can control the autonomous flight drone (100) to return urgently when the difference between the cleaning work flight path and the real-time flight position coordinates exceeds a threshold.

[0066] FIG. 4 is a block diagram specifically illustrating an embodiment of the path management unit (332) of FIG. 3.

[0067] Referring to FIGS. 3 and FIGS. 4, the route management unit (332) may include a section identification unit (332_1) and a speed management unit (332_2).

[0068] First, the section identification unit (332_1) can identify flight sections by speed according to the severity of contamination from the cleaning operation flight path.

[0069] For example, the unit path identification unit (232_1) can identify an area where the contamination severity status is above a certain grade from the cleaning work flight path as a first speed flight section, and an area where the contamination severity status is below a certain grade as a second speed flight section. Here, the first speed may mean a speed lower than a certain value than the second speed.

[0070] Next, the speed management unit (332_2) can assign a flight speed pattern to the cleaning work flight path so that the flight speed is variably adjusted according to the flight area by speed.

[0071] FIG. 5 is a block diagram showing another embodiment of the integrated management unit (330_1) of FIG. 3.

[0072] Referring to FIGS. 3 and FIGS. 5, the integrated management unit (330_1) may include a map generation unit (331), a path management unit (332), a status visualization unit (333), a drone control unit (334), a cleaning status diagnosis unit (335), and a report generation unit (336).

[0073] Hereinafter, the redundant description of the map generation unit (331), path management unit (332), state visualization unit (333), and drone control unit (334) with the same member number as described in FIG. 3 is omitted.

[0074] First, the cleaning status diagnosis unit (335) can diagnose the cleaning status of contaminated area objects by analyzing the before and after cleaning images identified from the building exterior wall images through an artificial intelligence-based cleaning status diagnosis model.

[0075] Here, the cleaning status diagnosis model may be an artificial neural network algorithm modeled by learning through machine learning that takes collected video samples of cleaning before and after as input and outputs the cleaning status evaluated for each sample.

[0076] Next, the report generation unit (336) generates a comparison report before and after cleaning based on the cleaning status of the contaminated area object for each cleaning work location, and can provide the comparison report before and after cleaning through the building exterior wall cleaning management service.

[0077] FIG. 6 is an example diagram for explaining the ground support mobility (200) of FIG. 1, and FIG. 7 is a block diagram specifically showing an embodiment of the drone docking station (220) of FIG. 6.

[0078] Referring to FIGS. 1, 6 and 7, the ground support mobility (200) may include a cargo box member (210) and a drone docking station (220).

[0079] First, the storage unit (210) can be formed to accommodate cleaning fluid, the battery of the autonomous flying drone (100), and cleaning-related consumables.

[0080] Next, the drone docking station (220) can be formed so that the autonomous flying drone (100) can land and dock with the cargo box member (210).

[0081] At this time, the drone docking station (220) can operate to recharge the cleaning fluid of the autonomous flight drone (100) and replace the battery as the autonomous flight drone (100) and the cargo unit (210) are docked.

[0082] Such a drone docking station (220) may include first and second inventory determination units (221, 222) as shown in FIG. 7.

[0083] Specifically, the first inventory determination unit (221) can determine whether the cleaning fluid inventory is adequate based on the difference between the cleaning fluid refill amount per docking predicted according to the cleaning fluid consumption amount per cleaning work location and the cleaning fluid stock amount of the storage unit (210).

[0084] Next, the second inventory determination unit (222) can determine whether the battery count inventory is appropriate based on the difference between the number of battery replacements predicted according to the cleaning flight time and the number of batteries held by the storage unit (210).

[0085] Next, the information relay unit (223) can periodically relay to the integrated control server (300) whether the cleaning solution inventory is adequate and whether the battery count inventory is adequate.

[0086] In this specification, only a few examples among the various embodiments performed by the inventors are described; however, the technical concept of the present invention is not limited or restricted thereto, and it is obvious that it can be modified and implemented in various ways by those skilled in the art. Explanation of the symbols

[0087] 100: Autonomous Flying Drone 200: Ground Support Mobility 300: Integrated Control Server 1000: Building exterior cleaning system using drones and mobility

Claims

Claim 1 An autonomous flying drone that flies autonomously along the outer wall of a target building and performs an outer wall cleaning operation by spraying a cleaning solution onto the outer wall; ground support mobility formed to allow the autonomous flying drone to land and moves via autonomous driving to a pre-designated drone landing site; and includes an integrated control server that is communicationally connected to the autonomous flying drone and the ground support mobility and receives real-time flight information from the autonomous flying drone; the autonomous flying drone automatically adjusts the spray pressure intensity of the cleaning solution based on exterior wall structural features derived by analyzing building exterior wall images captured through a provided camera; the real-time flight information includes the building exterior wall images, real-time flight position coordinates, battery and cleaning solution remaining amount information; the exterior wall structural features are architectural features of the building exterior wall, including windows, window frames, vents, louvers, balconies, signboards, exterior lighting, protruding members, exterior wall materials, paint peeling, wall material cracking, and silicone finishing; the autonomous flying drone automatically adjusts the spray pattern angle of the cleaning solution based on the distance from the exterior wall detected through a provided ultrasonic sensor; the cleaning solution includes a detergent for removing organic matter and pure water for removing inorganic matter; and the autonomous flying drone analyzes contaminated objects in unit areas detected from the building exterior wall images through an AI-based contaminant identification model to determine which of organic and inorganic contamination An object detection unit that identifies a type of contaminant and, as the contaminated object in the unit area is identified as any one of the types of contaminants, selectively sprays the cleaning solution with either the detergent for removing organic matter or the pure water for removing inorganic matter, and the integrated control server detects contaminated area objects by cleaning work location from the building exterior wall image; and a state diagnosis unit that diagnoses the contamination severity status by analyzing the contaminated area objects by cleaning work location through an artificial intelligence-based contamination status diagnosis model;The system includes an integrated analysis unit that calculates the estimated cleaning fluid consumption for each cleaning work location by applying the area size of the contaminated object for each cleaning work location and the contamination severity status to a preset cleaning fluid consumption calculation formula, wherein the integrated analysis unit includes: a map generation unit that generates a building exterior wall map through 3D modeling of the building exterior wall shape detected from the building exterior wall image; a path management unit that generates a cleaning work flight path to fly the entire building exterior wall by the shortest distance using the building exterior wall map and assigns it to the autonomous flight drone; a status visualization unit that visualizes the contamination severity status of the contaminated object for each cleaning work location identified from the building exterior wall map in a specific color and displays it on the building exterior wall map; and a drone control unit that displays the movement path of the drone object on the building exterior wall map in real time based on location information transmitted from the autonomous flight drone, wherein the path management unit includes a section identification unit that identifies flight sections by speed according to the contamination severity status from the cleaning work flight path. The system further includes a speed management unit that assigns a flight speed pattern to the cleaning work flight path so that the flight speed is variably adjusted according to the flight section by speed, and the integrated analysis unit further includes a cleaning status diagnosis unit that diagnoses the cleaning status of contaminated object by cleaning work location by analyzing before and after cleaning images identified from the building exterior wall image through an artificial intelligence-based cleaning status diagnosis model; and a report generation unit that generates and provides a before and after cleaning comparison report based on the cleaning status of contaminated object by cleaning work location, and the ground support mobility includes a storage member formed to accommodate the cleaning fluid, the battery of the autonomous flight drone, and cleaning-related consumables.The system includes a drone docking station formed to allow the autonomous flying drone to land and dock with the cargo compartment member, wherein the drone docking station operates to recharge the cleaning fluid of the autonomous flying drone and replace the battery as the autonomous flying drone and the cargo compartment are docked, and the drone docking station includes a first inventory determination unit that determines the adequacy of the cleaning fluid inventory based on the difference between the amount of cleaning fluid recharged per docking predicted according to the estimated amount of cleaning fluid consumed per cleaning work location and the amount of cleaning fluid provided in the cargo compartment; and a second inventory determination unit that determines the adequacy of the battery count inventory based on the difference between the number of battery replacements predicted according to the cleaning flight time and the number of batteries in the cargo compartment. A building exterior wall cleaning system using drones and mobility, comprising an information relay unit that periodically relays to the integrated control server whether the inventory of the cleaning solution and the inventory of the number of batteries are adequacy, wherein the autonomous flying drone radiates ultrasonic waves toward contaminants through an ultrasonic radiation device provided when the building exterior wall corresponds to wood, and irradiates ultraviolet rays through an ultraviolet irradiation device provided when the building exterior wall is coated with a photocatalyst, wherein the autonomous flying drone gradually adjusts the spraying waiting time of an intensive cleaning mode for sequentially spraying the detergent for removing organic matter and the pure water for removing inorganic matter based on temperature information detected through a temperature sensor provided, and the integrated management unit creates and provides a regular subscription service for the building based on the estimated cleaning solution consumption per cleaning location and an exterior wall cleaning cost estimate prepared according to the cleaning flight time. Claim 2 delete Claim 3 delete Claim 4 delete Claim 5 delete Claim 6 delete Claim 7 delete Claim 8 delete

Images