Aerial operation data analysis method and system for high-altitude curtain wall cleaning unmanned aerial vehicle

Abstract

The invention provides an aerial operation data analysis method and system for a high-altitude curtain wall cleaning unmanned aerial vehicle. The method comprises the following steps: S1, receiving a high-altitude curtain wall image and data acquired by a data acquisition system through a data transmission module; s2, the data transmission module sends the received high-altitude curtain wall image and data to an image recognition module, and the image recognition module establishes a coordinate axis, recognizes the image and obtains image feature coordinates; an image is processed through the image recognition module and the data processing module, feature coordinates are obtained, an unmanned aerial vehicle and curtain wall three-dimensional model is established through the three-dimensional modeling module, a cleaning scheme is calculated and obtained through the calculation module, and the scheme is simulated and checked through the simulation test module. Therefore, data required by high-altitude curtain wall cleaning are analyzed, an unmanned aerial vehicle operation scheme is designed, the unmanned aerial vehicle is prevented from colliding with obstacles in the cleaning operation process, and meanwhile an operator can conveniently know the operation time and a predicted result.

Description

Technical Field

[0001] The present invention relates to a data analysis method and system, and in particular to an aerial operation data analysis method and system for a high-altitude curtain wall cleaning unmanned aerial vehicle, belonging to the technical field of high-altitude curtain wall cleaning. Background Art

[0002] Glass curtain wall refers to the building's external protective structure or decorative structure that has a certain displacement capacity relative to the main structure and does not share the effects on the main structure. The wall has two types of glass: single-layer and double-layer. Glass curtain wall is a beautiful and novel way to decorate building walls, and is a prominent feature of the modernist high-rise building era.

[0003] During the long-term use of glass curtain walls, dust and dirt are easily accumulated on their surface, affecting the cleanliness and aesthetics of the curtain walls. In order to avoid this problem, the glass curtain walls need to be cleaned regularly. Traditional curtain wall cleaning work is generally completed by manpower, which has low work efficiency and high operation risks. Therefore, drones can be used instead of manual cleaning. Before drones clean high-altitude curtain walls, it is necessary to collect appearance pictures of the curtain walls to be cleaned and analyze and process the pictures to prevent the drones from colliding with obstacles during the cleaning operation. At the same time, it is convenient for operators to understand the operation time and expected results. To this end, a method and system for analyzing aerial operation data of drones for cleaning high-altitude curtain walls is proposed. Summary of the invention

[0004] In view of this, the present invention provides a method and system for analyzing aerial operation data of a high-altitude curtain wall cleaning UAV to solve or alleviate the technical problems existing in the prior art and at least provide a beneficial option.

[0005] The technical solution of the embodiment of the present invention is implemented as follows: A method for analyzing aerial operation data of a high-altitude curtain wall cleaning drone comprises the following steps:

[0006] S1, receiving the high-altitude curtain wall images and data collected by the data acquisition system through the data transmission module;

[0007] S2, the data transmission module sends the received high-altitude curtain wall image and data to the image recognition module, the image recognition module establishes a coordinate axis, recognizes the image, and obtains the image feature coordinates;

[0008] S3, the image recognition module sends the sorted coordinates to the data processing module, and the data processing module sorts the coordinate data and sends them to the control module;

[0009] S4, the control module sends the sorted data to the 3D modeling module, and the 3D modeling module performs modeling and mapping rendering on the model;

[0010] S5, sending the UAV flight speed, cleaning parameters and attitude adjustment parameters to the control module through the input module, and the control module aggregates the data and sends it to the 3D modeling module to establish the UAV model;

[0011] S6. Calculate the parameters of the curtain wall model and the UAV model through the calculation module to obtain the flight route, flight time and cleaning time of the UAV, and generate a cleaning plan;

[0012] S7, the calculation module sends the cleaning plan to the simulation test module, simulates the cleaning process of the drone, analyzes and checks the loopholes of the plan, and displays the execution results through the display module, and the staff modifies the plan;

[0013] S8. The modified solution is stored in a storage module, and is called from the storage module when the solution is executed.

[0014] Further preferably, in S1, the images and data collected by the data collection system can be transmitted via Ethernet, optical fiber communication, coaxial cable, WiFi, Bluetooth, or microwave.

[0015] Further preferably, in S2, the image recognition module obtains the curtain wall image feature coordinates by analyzing and calculating the appearance features of the curtain wall reference image information, and the curtain wall image feature coordinates provide basic data for three-dimensional modeling.

[0016] Further preferably, in said S4, a high-altitude curtain wall model is obtained by three-dimensional modeling, and the cleanliness characteristics of the high-altitude curtain wall are restored by using texture rendering technology.

[0017] Further preferably: in said S5, the UAV flight speed includes the lateral flight speed, the longitudinal flight speed and the flight speed under different loads, the UAV attitude adjustment parameters include the attitude adjustment time in the flight state, the attitude adjustment time in the hovering state and the attitude adjustment time in the working state, and the input module includes a mouse, a keyboard or a scanner.

[0018] Further preferably, in S5, the cleaning parameters include a single cleaning area, a single cleaning operation time and a cleaning endurance frequency, and the cleaning endurance frequency is calculated by the battery capacity and the water tank capacity of the drone.

[0019] Further preferred: In S6, the calculation module comprehensively designs a cleaning plan based on the curtain wall size, quantity, cleanliness, drone flight speed, drone attitude adjustment parameters and cleaning parameters, gradually cleans from the coordinate origin, and refers to the three-dimensional modeling model to ensure that the drone completes the cleaning work under the premise that both flight and work safety can be guaranteed.

[0020] Further preferred: in S7, the cleaning plan is executed at a high speed through the drone model to simulate the cleaning of the curtain wall three-dimensional model, automatically evaluate the execution effect of the plan, and report faults for model collision, execution timeout, cleaning failure and abnormal flight trajectory. The staff modifies the plan according to the error type.

[0021] In addition, the present invention also provides an aerial operation data analysis system for a high-altitude curtain wall cleaning UAV, including a data transmission module, the signal output end of the data transmission module is signal-connected to the signal input end of an image recognition module, the signal output end of the image recognition module is signal-connected to the signal input end of a data processing module, and the signal output end of the data processing module is signal-connected to the signal input end of a control module.

[0022] Further preferred: the signal output end of the control module is signal-connected to the signal input end of the three-dimensional modeling module, the signal output end of the three-dimensional modeling module is signal-connected to the signal input end of the calculation module, the signal output end of the calculation module is signal-connected to the signal input end of the simulation test module, the signal output end of the simulation test module is signal-connected to the signal input ends of the storage module and the display module, and the signal input end of the control module is signal-connected to the signal output end of the input module.

[0023] The embodiment of the present invention has the following advantages due to the adoption of the above technical solution:

[0024] The present invention processes the image through an image recognition module and a data processing module to obtain feature coordinates, establishes a three-dimensional model of a drone and a curtain wall through a three-dimensional modeling module, calculates and obtains a cleaning plan through a calculation module, and simulates and checks the plan through a simulation test module, thereby completing the analysis of data required for high-altitude curtain wall cleaning, and designs a drone operation plan to prevent the drone from colliding with obstacles during the cleaning operation, ensuring that the drone cleaning operation can be successfully completed, and at the same time making it convenient for operators to understand the operation time and expected results.

[0025] The above summary is for illustrative purposes only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments and features described above, further aspects, embodiments and features of the present invention will be readily apparent by reference to the accompanying drawings and the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0027] Figure 1 is a flow chart of the present invention;

[0028] Figure 2 It is a system structure diagram of the present invention. DETAILED DESCRIPTION

[0029] In the following, only some exemplary embodiments are briefly described. As those skilled in the art will appreciate, the described embodiments may be modified in various ways without departing from the spirit or scope of the present invention. Therefore, the drawings and descriptions are considered to be exemplary and non-restrictive in nature.

[0030] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0031] like Figure 1-2 As shown, an embodiment of the present invention provides a method for analyzing aerial operation data of a high-altitude curtain wall cleaning drone, comprising the following steps:

[0032] S1, receiving the high-altitude curtain wall images and data collected by the data acquisition system through the data transmission module;

[0033] S2, the data transmission module sends the received high-altitude curtain wall image and data to the image recognition module, the image recognition module establishes a coordinate axis, recognizes the image, and obtains the image feature coordinates;

[0034] S3, the image recognition module sends the sorted coordinates to the data processing module, and the data processing module sorts the coordinate data and sends them to the control module;

[0035] S4, the control module sends the sorted data to the 3D modeling module, and the 3D modeling module performs modeling and mapping rendering on the model;

[0036] S5, sending the UAV flight speed, cleaning parameters and attitude adjustment parameters to the control module through the input module, and the control module aggregates the data and sends it to the 3D modeling module to establish the UAV model;

[0037] S6. Calculate the parameters of the curtain wall model and the UAV model through the calculation module to obtain the flight route, flight time and cleaning time of the UAV, and generate a cleaning plan;

[0038] S7, the calculation module sends the cleaning plan to the simulation test module, simulates the cleaning process of the drone, analyzes and checks the loopholes of the plan, and displays the execution results through the display module, and the staff modifies the plan;

[0039] S8. The modified solution is stored in a storage module, and is called from the storage module when the solution is executed.

[0040] In this embodiment, specifically: in S1, the images and data collected by the data acquisition system can be transmitted via Ethernet, optical fiber communication, coaxial cable, WiFi, Bluetooth, or microwave.

[0041] In this embodiment, specifically: in S2, the image recognition module analyzes and calculates the curtain wall image feature coordinates by scanning the appearance features of the curtain wall reference image information, and the curtain wall image feature coordinates provide basic data for three-dimensional modeling.

[0042] In this embodiment, specifically: in S4, a high-altitude curtain wall model is obtained through three-dimensional modeling, and the cleanliness characteristics of the high-altitude curtain wall are restored using texture rendering technology.

[0043] In this embodiment, specifically: in S5, the UAV flight speed includes the lateral flight speed, the longitudinal flight speed and the flight speed under different loads, the UAV attitude adjustment parameters include the attitude adjustment time in the flight state, the attitude adjustment time in the hovering state and the attitude adjustment time in the working state, and the input module includes a mouse, a keyboard or a scanner, which is used to input the UAV parameters into the cleaning operation data analysis system.

[0044] In this embodiment, specifically: in S5, the cleaning parameters include a single cleaning area, a single cleaning operation time and a cleaning endurance frequency. The cleaning endurance frequency is calculated through the battery capacity and the water tank capacity of the drone. When calculating the operation time, it is necessary to refer to data such as the single cleaning area, the single cleaning operation time and the cleaning endurance frequency.

[0045] In this embodiment, specifically: in S6, the calculation module comprehensively designs a cleaning plan based on the curtain wall size, quantity, cleanliness, drone flight speed, drone attitude adjustment parameters and cleaning parameters, gradually cleans from the coordinate origin, and refers to the three-dimensional modeling model to ensure that the drone completes the cleaning work under the premise that the flight and work safety can be guaranteed, thereby preventing the drone from being damaged.

[0046] In this embodiment, specifically: in S7, the cleaning plan is executed at a high speed through the drone model to simulate the cleaning of the curtain wall three-dimensional model, automatically evaluate the execution effect of the plan, and report faults for model collision, execution timeout, cleaning failure and abnormal flight trajectory. The staff modifies the plan according to the error type to avoid problems when the plan is executed.

[0047] In addition, the present invention also provides an aerial operation data analysis system for a high-altitude curtain wall cleaning UAV, including a data transmission module, characterized in that: the signal output end of the data transmission module is signal-connected to the signal input end of the image recognition module, the signal output end of the image recognition module is signal-connected to the signal input end of the data processing module, and the signal output end of the data processing module is signal-connected to the signal input end of the control module.

[0048] In this embodiment, specifically: the signal output end of the control module is signal-connected to the signal input end of the three-dimensional modeling module, the signal output end of the three-dimensional modeling module is signal-connected to the signal input end of the calculation module, the signal output end of the calculation module is signal-connected to the signal input end of the simulation test module, the signal output end of the simulation test module is signal-connected to the signal input ends of the storage module and the display module, and the signal input end of the control module is signal-connected to the signal output end of the input module.

[0049] When the present invention is working: the high-altitude curtain wall image and data collected by the data acquisition system are received through the data transmission module, the data transmission module sends the received high-altitude curtain wall image and data to the image recognition module, the image recognition module establishes a coordinate axis, recognizes the image, and obtains the image feature coordinates, the image recognition module sends the sorted coordinates to the data processing module, the data processing module sorts the coordinate data, summarizes and sends it to the control module, the control module sends the sorted data to the three-dimensional modeling module, the three-dimensional modeling module models, and performs mapping and rendering processing on the model, sends the drone flight speed, cleaning parameters and attitude adjustment parameters to the control module through the input module, and the control module summarizes the data and sends it to the three The modeling module establishes the UAV model, and the calculation module calculates the curtain wall model and the UAV model parameters to obtain the UAV flight route, flight time and cleaning time, and generates a cleaning plan. The calculation module sends the cleaning plan to the simulation test module, simulates the UAV cleaning process, analyzes and checks the plan loopholes, and displays the execution results through the display module. The staff modifies the plan and stores the modified plan in the storage module, thereby completing the analysis of the data required for high-altitude curtain wall cleaning and the design of the UAV operation plan to prevent the UAV from colliding with obstacles during the cleaning operation, ensure that the UAV cleaning operation can be completed smoothly, and facilitate the operator to understand the operation time and expected results.

[0050] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of various changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for analyzing aerial operation data of a high-altitude curtain wall cleaning drone, characterized in that: The following steps are involved: S1, receiving the high-altitude curtain wall images and data collected by the data acquisition system through the data transmission module; S2, the data transmission module sends the received high-altitude curtain wall image and data to the image recognition module, the image recognition module establishes a coordinate axis, recognizes the image, and obtains the image feature coordinates; S3, the image recognition module sends the sorted coordinates to the data processing module, and the data processing module sorts the coordinate data and sends them to the control module; S4, the control module sends the sorted data to the 3D modeling module, and the 3D modeling module performs modeling and mapping rendering on the model; S5, sending the UAV flight speed, cleaning parameters and attitude adjustment parameters to the control module through the input module, and the control module aggregates the data and sends it to the 3D modeling module to establish the UAV model; S6. Calculate the parameters of the curtain wall model and the UAV model through the calculation module to obtain the flight route, flight time and cleaning time of the UAV, and generate a cleaning plan; S7, the calculation module sends the cleaning plan to the simulation test module, simulates the cleaning process of the drone, analyzes and checks the loopholes of the plan, and displays the execution results through the display module, and the staff modifies the plan; S8. The modified solution is stored in a storage module, and is called from the storage module when the solution is executed.

2. The method for analyzing aerial operation data of a high-altitude curtain wall cleaning drone according to claim 1 is characterized in that: In S1, the images and data collected by the data acquisition system can be transmitted via Ethernet, optical fiber communication, coaxial cable, WiFi, Bluetooth, or microwave.

3. The method for analyzing aerial operation data of a high-altitude curtain wall cleaning drone according to claim 1 is characterized in that: In S2, the image recognition module analyzes and calculates the characteristic coordinates of the curtain wall image by scanning the appearance features of the curtain wall reference image information, and the characteristic coordinates of the curtain wall image provide basic data for three-dimensional modeling.

4. The method for analyzing aerial operation data of a high-altitude curtain wall cleaning drone according to claim 1 is characterized in that: In S4, a high-altitude curtain wall model is obtained through three-dimensional modeling, and the cleanliness characteristics of the high-altitude curtain wall are restored using texture rendering technology.

5. The method for analyzing aerial operation data of a high-altitude curtain wall cleaning drone according to claim 1 is characterized in that: In S5, the UAV flight speed includes the lateral flight speed, the longitudinal flight speed and the flight speed under different loads, the UAV attitude adjustment parameters include the attitude adjustment time in the flying state, the attitude adjustment time in the hovering state and the attitude adjustment time in the working state, and the input module includes a mouse, a keyboard or a scanner.

6. The aerial operation data analysis method of a high-altitude curtain wall cleaning drone according to claim 1 is characterized in that: In S5, the cleaning parameters include a single cleaning area, a single cleaning operation time and a cleaning endurance frequency, and the cleaning endurance frequency is calculated based on the battery capacity and water tank capacity of the drone.

7. The method for analyzing aerial operation data of a high-altitude curtain wall cleaning drone according to claim 1 is characterized in that: In S6, the calculation module comprehensively designs a cleaning plan based on the curtain wall size, quantity, cleanliness, drone flight speed, drone attitude adjustment parameters and cleaning parameters, gradually cleans from the coordinate origin, and refers to the three-dimensional model to ensure that the drone completes the cleaning work under the premise that both flight and work safety can be guaranteed.

8. The method for analyzing aerial operation data of a high-altitude curtain wall cleaning drone according to claim 1 is characterized in that: In S7, the cleaning plan is executed at a high speed through the drone model to simulate the cleaning of the curtain wall three-dimensional model, automatically evaluate the execution effect of the plan, and report faults for model collision, execution timeout, cleaning failure and abnormal flight trajectory. The staff modifies the plan according to the error type.

9. The aerial operation data analysis system of a high-altitude curtain wall cleaning drone according to any one of claims 1 to 8, comprising a data transmission module, characterized in that: The signal output end of the data transmission module is signal-connected to the signal input end of the image recognition module, the signal output end of the image recognition module is signal-connected to the signal input end of the data processing module, and the signal output end of the data processing module is signal-connected to the signal input end of the control module.

10. The aerial operation data analysis system of the high-altitude curtain wall cleaning drone according to claim 9 is characterized in that: The signal output end of the control module is signal-connected to the signal input end of the three-dimensional modeling module, the signal output end of the three-dimensional modeling module is signal-connected to the signal input end of the calculation module, the signal output end of the calculation module is signal-connected to the signal input end of the simulation test module, the signal output end of the simulation test module is signal-connected to the signal input ends of the storage module and the display module, and the signal input end of the control module is signal-connected to the signal output end of the input module.

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