阅读说明：本技术 一种玻璃幕墙结构胶检测方法、装置、无人机及存储介质 (Glass curtain wall structural adhesive detection method and device, unmanned aerial vehicle and storage medium ) 是由 蒋毅 王罡 梁伟桥 姚志东 闵红光 曹文昭 于 2020-07-02 设计创作，主要内容包括：本发明公开了一种玻璃幕墙结构胶检测方法、装置、无人机及存储介质。该方法包括：利用无人机倾斜摄影技术采集一定数量的建筑物玻璃幕墙样本照片,构建建筑物三维低精度模型,规划无人机的飞行航线；利用红外热像仪沿着飞行航线,分别在多个不同的时段进行相同的玻璃幕墙结构胶数据的采集；将数据传输回数据处理中心,由数据处理中心分析玻璃幕墙结构胶数据的异常比例超过预设阈值的异常部位；接收数据处理中心回传的异常部位,飞行到异常部位拍摄可见光照片并传输回数据处理中心。本发明的技术方案,通过在多个不同的时段进行相同的结构胶数据的采集,并分析异常比例,进一步拍摄可见光照片,减少日照与环境温度误差因素,提高检测的准确性。(The invention discloses a method and a device for detecting structural adhesive of a glass curtain wall, an unmanned aerial vehicle and a storage medium. The method comprises the following steps: acquiring a certain number of building glass curtain wall sample photos by using an unmanned aerial vehicle oblique photography technology, constructing a three-dimensional low-precision model of a building, and planning a flight path of an unmanned aerial vehicle; collecting the same structural adhesive data of the glass curtain wall at a plurality of different time intervals along the flight route by using a thermal infrared imager; transmitting the data back to a data processing center, and analyzing abnormal parts of the glass curtain wall structural adhesive data, wherein the abnormal parts exceed a preset threshold value in abnormal proportion, by the data processing center; and receiving the abnormal part returned by the data processing center, flying to the abnormal part to shoot the visible light picture and transmitting the visible light picture back to the data processing center. According to the technical scheme, the same structural adhesive data are acquired at different time intervals, abnormal proportions are analyzed, visible light pictures are further shot, the error factors of sunlight and ambient temperature are reduced, and the detection accuracy is improved.)

1. The utility model provides a glass curtain wall structure glues detection method, is applied to unmanned aerial vehicle, its characterized in that includes:

acquiring a certain number of building glass curtain wall sample photos by using an unmanned aerial vehicle oblique photography technology, and constructing a three-dimensional low-precision model of a building;

planning a flight route of the unmanned aerial vehicle according to the three-dimensional low-precision building model;

collecting the structural adhesive data of the glass curtain wall of the same building at a plurality of different time intervals along the flight line of the unmanned aerial vehicle by using a thermal infrared imager;

transmitting the structural adhesive data of the glass curtain wall back to a data processing center, and analyzing abnormal parts of the structural adhesive data of the glass curtain wall, wherein the abnormal parts exceed a preset threshold value in abnormal proportion, by the data processing center;

and receiving the abnormal part returned by the data processing center, flying to the abnormal part to shoot the visible light picture and transmitting the visible light picture back to the data processing center.

2. The method for detecting the structural adhesive of the glass curtain wall according to claim 1, wherein the step of collecting the structural adhesive data of the glass curtain wall of the same building at a plurality of different time intervals along the flight line of the unmanned aerial vehicle by using a thermal infrared imager comprises the following steps:

and acquiring the structural adhesive data of the glass curtain wall of the building for three times in the same time at three time intervals of the morning, the noon and the afternoon respectively by using the thermal infrared imager along the flight line of the unmanned aerial vehicle.

3. The method for detecting the structural adhesive of the glass curtain wall according to claim 2, wherein the data of the structural adhesive of the glass curtain wall is transmitted back to a data processing center, and the data processing center analyzes the abnormal part of the structural adhesive data of the glass curtain wall, wherein the abnormal part has an abnormal proportion exceeding a preset threshold, and the method comprises the following steps:

and transmitting the structural adhesive data of the glass curtain wall back to a data processing center, and analyzing by the data processing center to obtain abnormal parts of the structural adhesive data of the glass curtain wall at the same part, wherein the abnormal parts are abnormal twice or more in the morning, noon and afternoon.

4. The method for detecting the structural adhesive of the glass curtain wall according to claim 1, wherein the structural adhesive data of the glass curtain wall of the building comprises infrared image data and positioning data, wherein each infrared image data corresponds to one positioning data.

5. The method for detecting the structural adhesive of the glass curtain wall as claimed in claim 4, wherein after the data of the structural adhesive of the glass curtain wall is transmitted back to the data processing center, the method further comprises the following steps:

and the data processing center reads the color information of each pixel point of each piece of infrared image data, the color information corresponds to the temperature information, and the part with abnormal temperature is automatically marked and highlighted.

6. The method for detecting the structural adhesive of the glass curtain wall according to claim 4, wherein the positioning data is GPS positioning data.

7. The method for detecting the structural adhesive of the glass curtain wall as claimed in claim 1, wherein the number of the building glass curtain wall sample photos of a certain number for constructing the three-dimensional low-precision model of the building is not more than a preset number.

8. The utility model provides a glass curtain wall structure glues detection device, is applied to unmanned aerial vehicle, a serial communication port, includes:

the model building unit is used for acquiring a certain number of building glass curtain wall sample photos by utilizing an unmanned aerial vehicle oblique photography technology and building a three-dimensional low-precision model of the building;

the air route planning unit is used for planning the flight air route of the unmanned aerial vehicle according to the three-dimensional low-precision building model;

the data acquisition unit is used for acquiring the structural adhesive data of the glass curtain wall of the same building at a plurality of different time intervals along the flight line of the unmanned aerial vehicle by using the thermal infrared imager;

the data analysis unit is used for transmitting the glass curtain wall structural adhesive data back to the data processing center, and the data processing center analyzes abnormal parts of the glass curtain wall structural adhesive data, wherein the abnormal parts exceed a preset threshold value in abnormal proportion;

and the repeated shooting unit is used for receiving the abnormal part returned by the data processing center, flying to the abnormal part to shoot the visible light picture and transmitting the visible light picture back to the data processing center.

9. An unmanned aerial vehicle, comprising a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to implement the method for detecting structural adhesive of glass curtain wall according to any one of claims 1 to 7.

10. A computer-readable storage medium, on which a computer program is stored, wherein the computer program, when being executed by a processor, implements the method for detecting structural adhesive of glass curtain walls according to any one of claims 1 to 7.

Technical Field

The embodiment of the invention relates to the field of glass curtain walls, in particular to a method and a device for detecting structural adhesive of a glass curtain wall, an unmanned aerial vehicle and a storage medium.

Background

The glass curtain wall is a building peripheral structure or a decorative structure formed by bonding a supporting structure and curtain wall glass through structural adhesive. The glass curtain wall has the main functions of regulating light and heat, resisting wind and rain, isolating noise, blocking air permeation and maintaining indoor proper production and living environment to the maximum extent. At present, the glass curtain wall detection is mainly based on manual visual detection, the detection efficiency is low, missing detection is easy to occur, although non-contact detection technologies exist, the non-contact detection technologies are rare, and mature non-contact detection equipment does not exist basically.

Disclosure of Invention

The embodiment of the invention provides a method and a device for detecting structural adhesive of a glass curtain wall, an unmanned aerial vehicle and a storage medium, so as to reduce the error factors of sunlight and ambient temperature and improve the detection accuracy.

In a first aspect, an embodiment of the present invention provides a method for detecting a structural adhesive of a glass curtain wall, which is applied to an unmanned aerial vehicle, and includes:

acquiring a certain number of building glass curtain wall sample photos by using an unmanned aerial vehicle oblique photography technology, and constructing a three-dimensional low-precision model of a building;

planning a flight route of the unmanned aerial vehicle according to the three-dimensional low-precision building model;

collecting the structural adhesive data of the glass curtain wall of the same building at a plurality of different time intervals along the flight line of the unmanned aerial vehicle by using a thermal infrared imager;

transmitting the structural adhesive data of the glass curtain wall back to a data processing center, and analyzing abnormal parts of the structural adhesive data of the glass curtain wall, wherein the abnormal parts exceed a preset threshold value in abnormal proportion, by the data processing center;

and receiving the abnormal part returned by the data processing center, flying to the abnormal part to shoot the visible light picture and transmitting the visible light picture back to the data processing center.

Optionally, the acquiring of the structural adhesive data of the glass curtain wall of the same building at a plurality of different time intervals by using the thermal infrared imager along the flight line of the unmanned aerial vehicle comprises:

and acquiring the structural adhesive data of the glass curtain wall of the building for three times in the same time at three time intervals of the morning, the noon and the afternoon respectively by using the thermal infrared imager along the flight line of the unmanned aerial vehicle.

Optionally, will glass curtain wall structure glues data transmission back to data processing center, and the abnormal part that the abnormal proportion that is glued the data by data processing center analysis glass curtain wall structure surpassed preset threshold value includes:

and transmitting the structural adhesive data of the glass curtain wall back to a data processing center, and analyzing by the data processing center to obtain abnormal parts of the structural adhesive data of the glass curtain wall at the same part, wherein the abnormal parts are abnormal twice or more in the morning, noon and afternoon.

Optionally, the glass curtain wall structure glue data of the building include infrared image data and positioning data, wherein each infrared image data corresponds to one positioning data.

Optionally, after transmitting the glass curtain wall structural adhesive data back to the data processing center, the method further includes:

and the data processing center reads the color information of each pixel point of each piece of infrared image data, the color information corresponds to the temperature information, and the part with abnormal temperature is automatically marked and highlighted.

Optionally, the positioning data is GPS positioning data.

Optionally, the number of the certain number of building glass curtain wall sample photos for constructing the three-dimensional low-precision model of the building is not more than the preset number.

In a second aspect, an embodiment of the present invention further provides a glass curtain wall structural adhesive detection device, which is applied to an unmanned aerial vehicle, and includes:

the model building unit is used for acquiring a certain number of building glass curtain wall sample photos by utilizing an unmanned aerial vehicle oblique photography technology and building a three-dimensional low-precision model of the building;

the air route planning unit is used for planning the flight air route of the unmanned aerial vehicle according to the three-dimensional low-precision building model;

the data acquisition unit is used for acquiring the structural adhesive data of the glass curtain wall of the same building at a plurality of different time intervals along the flight line of the unmanned aerial vehicle by using the thermal infrared imager;

the data analysis unit is used for transmitting the glass curtain wall structural adhesive data back to the data processing center, and the data processing center analyzes abnormal parts of the glass curtain wall structural adhesive data, wherein the abnormal parts exceed a preset threshold value in abnormal proportion;

and the repeated shooting unit is used for receiving the abnormal part returned by the data processing center, flying to the abnormal part to shoot the visible light picture and transmitting the visible light picture back to the data processing center.

In a third aspect, an embodiment of the present invention further provides an unmanned aerial vehicle, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor executes the computer program to implement the method for detecting a structural adhesive of a glass curtain wall in any one of the above embodiments.

In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for detecting a structural adhesive of a glass curtain wall described in any one of the above embodiments.

According to the technical scheme of the embodiment of the invention, the same structural adhesive data are acquired in a plurality of different time periods, the abnormal proportion is analyzed, the visible light picture is further shot, the error factors of sunlight and ambient temperature are reduced, and the detection accuracy is improved.

Drawings

Fig. 1 is a schematic flow chart of a method for detecting structural adhesive of a glass curtain wall according to a first embodiment of the invention;

FIG. 2 is a schematic structural diagram of a structural adhesive detection device for a glass curtain wall according to a second embodiment of the present invention;

fig. 3 is an internal schematic view of an unmanned aerial vehicle in a third embodiment of the present invention.

Detailed Description

The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.

Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the steps as a sequential process, many of the steps can be performed in parallel, concurrently or simultaneously. In addition, the order of the steps may be rearranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.

Furthermore, the terms "first," "second," and the like may be used herein to describe various orientations, actions, steps, elements, or the like, but the orientations, actions, steps, or elements are not limited by these terms. These terms are only used to distinguish one direction, action, step or element from another direction, action, step or element. For example, a first speed difference may be referred to as a second speed difference, and similarly, a second speed difference may be referred to as a first speed difference, without departing from the scope of the present application. The first speed difference and the second speed difference are both speed differences, but they are not the same speed difference. The terms "first", "second", etc. are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.