Intelligent detection method and system for hollowing of outer wall

Abstract

The invention relates to the technical field of building wall hollowing analysis, and discloses an outer wall hollowing intelligent detection method and system, and the system comprises an outer wall hollowing defect state detection module, an outer wall hollowing defect feature detection module, and an outer wall hollowing defect detection result feedback module. Building an outer wall three-dimensional model and hollowing defect detection space coordinate combination parameter through data analysis science, and carrying out three-dimensional model accurate acquisition on an outer wall hollowing defect object according to outer wall object hollowing defect space coordinate data, so as to realize accurate building of outer wall hollowing defect object three-dimensional model parameters; the three-dimensional model of the outer wall hollowing defect object is subjected to appearance heterochromatic rendering processing and accurate space volume measurement, real intelligent detection of space geometric characteristic parameters of the outer wall hollowing defect is achieved, and the precision and reliability of an outer wall hollowing detection result are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of building wall hollowing analysis, and in particular to an external wall hollowing intelligent detection method and system. Background Art

[0002] The hollowing of the exterior wall is caused by the fact that the wall base plastering is not handled as required and the cement ratio is insufficient. The hollowing of the exterior wall refers to the hollowing phenomenon caused by the loose adhesion between the decorative materials on the exterior wall surface and the wall structure layer. This problem is usually caused by the fact that the wall base plastering is not handled as required, or the cement ratio of the bonding mortar is insufficient. The main reasons for the hollowing of the exterior wall include the following: 1. Improper treatment of the wall base: If the wall base is not cleaned or the plastering layer is not handled as required, it is easy to cause hollowing. 2. Insufficient cement ratio: When the exterior wall tiles are pasted, if the cement ratio of the bonding mortar is insufficient, it will also cause hollowing. Detection of exterior wall hollowing usually uses a hollowing hammer or a hard object to tap the plaster layer and the leveling layer. If a dongdong sound is heard, it means that there is a hollowing phenomenon. The existing exterior wall hollowing detection cannot accurately detect the exterior wall hollowing defect status and the spatial shape and volume parameters of the hollowing defect, nor can it visually highlight and feedback the location, spatial shape and volume information of the exterior wall hollowing defect, which reduces the accuracy and feedback effect of exterior wall hollowing defect detection.

[0003] A Chinese invention patent with announcement number CN108195933B discloses a detection system for detecting quality defects of building exterior walls. By setting a target data acquisition module, a wall three-dimensional reconstruction module, a wall primary defect assessment module, a crack / depression / hollowing size measurement module, a crack / depression / hollowing area calculation module and a wall defect comprehensive assessment module, the area, position and plane shape analysis of cracks / depressions / hollowing defects on the wall can be achieved; however, the shape and area measurement errors of wall cracks / depressions / hollowing defects using image algorithms combined with image information are large, and the characteristic information of wall cracks / depressions / hollowing defects cannot be accurately detected, and the characteristic information of wall cracks / depressions / hollowing defects cannot be intuitively displayed, which is not conducive to subsequent wall crack / depression / hollowing defect maintenance operations. Summary of the invention

[0004] 1. Technical issues to be resolved In order to solve the problem that the above-mentioned existing exterior wall hollowing defect detection cannot accurately detect the exterior wall hollowing defect status and the spatial shape and volume parameters of the hollowing defect, and cannot visually highlight the feedback of the location, spatial shape and volume information of the exterior wall hollowing defect, thereby reducing the accuracy and feedback effect of exterior wall hollowing defect detection, the above purpose is to scientifically construct the spatial coordinates of exterior wall hollowing defect detection, efficiently and autonomously identify the spatial coordinate information of exterior wall hollowing defects, scientifically generate the spatial shape three-dimensional model of the exterior wall hollowing defect, accurately measure the spatial volume parameters of the exterior wall hollowing defect, intuitively highlight the location, spatial shape and volume information of the exterior wall hollowing defect, and improve the accuracy and intuitiveness of the exterior wall hollowing defect detection results.

[0005] (II) Technical solution The present invention is implemented by the following technical scheme: an intelligent detection method for hollowing of an exterior wall, the method comprising the following steps: S1. Collecting 3D model data of exterior wall objects; S2, constructing and processing the position coordinates of the hollowing defect detection of the exterior wall object according to the three-dimensional model data of the exterior wall object, generating the spatial coordinate data of the hollowing defect detection of the exterior wall object and performing the exterior wall hollowing defect detection operation; S3, collecting ultrasonic signal data of the hollowing defect detection position of the exterior wall object, and performing spatial coordinate parameter identification processing on the detection position of the hollowing defect of the exterior wall with the ultrasonic signal data of the hollowing defect of the exterior wall, to generate the spatial coordinate data of the hollowing defect of the exterior wall object, and when the spatial coordinate data of the hollowing defect of the exterior wall object has not been generated, continuing to execute the operation instruction of generating the spatial coordinate data of the hollowing defect of the exterior wall object; S4. When the generation of the spatial coordinate data of the hollowing defect of the exterior wall object is completed, construct the exterior wall three-dimensional model and the hollowing defect detection spatial coordinate combination data, and perform three-dimensional model acquisition and processing of the exterior wall hollowing defect object on the exterior wall object hollowing defect spatial coordinate data to generate the exterior wall hollowing defect object three-dimensional model data; S5, performing color rendering processing on the spatial appearance of the exterior wall hollowing defect object according to the three-dimensional model data of the exterior wall hollowing defect object, and generating spatial rendering appearance data of the exterior wall hollowing defect object; S6, performing spatial volume measurement processing on the exterior wall hollowing defect object according to the spatial rendering shape data of the exterior wall hollowing defect object, and generating spatial volume data of the exterior wall hollowing defect object; S7, constructing the external wall hollowing defect detection result data and executing the external wall hollowing defect detection result feedback operation.

[0006] Preferably, the steps of collecting the three-dimensional model data of the exterior wall object are as follows: S11, using a drone equipped with a 3D laser scanner to scan online and collect spatial 3D solid model parameters of the entire target exterior wall and generate exterior wall object 3D model data P.

[0007] Preferably, the steps of constructing the position coordinates of the hollowing defect detection of the exterior wall object according to the three-dimensional model data of the exterior wall object, generating the spatial coordinate data of the hollowing defect detection of the exterior wall object and performing the exterior wall hollowing defect detection operation are as follows: S21, the exterior wall surface corresponding to the exterior wall object three-dimensional model data P is plane meshed according to a square with a side length of L, a space spherical coordinate system is established with the earth sphere as the base, the space coordinate data of the center point of the exterior wall surface meshing square in the space spherical coordinate system is obtained, and a space coordinate data set for the exterior wall object hollowing defect detection is generated , ;in Indicates The spatial coordinate data of hollowing defect detection of exterior wall objects, Indicates the maximum value of the number of spatial coordinates of the hollowing defect detection of the exterior wall object, wherein the spatial coordinate data of the hollowing defect detection of the exterior wall object includes the longitude, latitude and altitude of the hollowing defect detection position of the exterior wall object; S22, using an unmanned aerial vehicle equipped with an ultrasonic flaw detector to detect the spatial coordinate data set based on the hollowing defect of the exterior wall object The spatial coordinate data of the hollowing defect detection of the exterior wall object described in to Carry out exterior wall hollow defect detection work in an orderly manner.

[0008] Preferably, the steps of collecting ultrasonic signal data of the hollowing defect detection position of the exterior wall object and performing spatial coordinate parameter recognition processing on the detection position where the hollowing defect exists in the exterior wall with the ultrasonic signal data of the hollowing defect of the exterior wall to generate the spatial coordinate data of the hollowing defect of the exterior wall object are as follows: S31. Establishing ultrasonic signal data set of external wall hollowing defects , ;in Indicates Ultrasonic signal data of hollow defects in exterior walls. Indicates the maximum value of the number of ultrasonic signal types of external wall hollowing defects, wherein the ultrasonic signal data of the external wall hollowing defects indicates ultrasonic waveform characteristic signal data of the characteristics of the hollowing defects on the surface of the external wall; S32, during the process of performing the external wall hollowing defect detection operation, a drone equipped with an ultrasonic flaw detector is used to detect the hollowing defect of the external wall object according to the spatial coordinate data set. The spatial coordinate data of the hollowing defect detection of the exterior wall object described in to Orderly collect ultrasonic signal data at each hollow defect detection spatial coordinate position, and generate an ultrasonic signal data set at the hollow defect detection position of the exterior wall object ,in Represents the spatial coordinate data of the hollowing defect detection of the exterior wall object The corresponding ultrasonic signal data of the hollowing defect detection position of the external wall object, wherein the ultrasonic signal data of the hollowing defect detection position of the external wall object represents the ultrasonic waveform characteristic signal data at the spatial coordinate position of each hollowing defect detection on the surface of the external wall; S33, collecting the ultrasonic signal data of the hollowing defect detection position of the exterior wall object Ultrasonic signal data of hollowing defect detection position of exterior wall object The ultrasonic signal data set of the exterior wall hollowing defect Ultrasonic signal data of the hollowing defect in the exterior wall Perform ultrasonic signal feature matching and generate a hollow defect analysis data set for the hollow defect detection location of the exterior wall object based on the ultrasonic signal feature matching results , execute to generate the hollowing defect analysis data set of the hollowing defect detection position of the exterior wall object The specific steps are as follows: S331, initializing parameters and updating the maximum number of iterations T of the algorithm; S332, initializing the position of the signal recognition seagull population, that is, the signal recognition seagull population is updated in the external wall hollowing defect ultrasonic signal data set Position in the search space; S333, calculating the ultrasonic signal data set of the exterior wall hollowing defect All the ultrasonic signal data of the exterior wall hollowing defects Ultrasonic signal data of the hollowing defect detection position of the exterior wall object The fitness value is retained in the external wall hollowing defect ultrasonic signal data set Ultrasonic signal data at the hollowing defect detection position of the exterior wall object in the search space The ultrasonic signal data of the exterior wall hollowing defect with the largest fitness value The global optimal position of S334, Migration, Global Search: Signal recognition of seagull migration behavior has three main steps. The first step is to meet the requirements of the ultrasonic signal data set of the hollowing defect in the exterior wall. The search space is used to identify the conditions for avoiding collisions between individual seagulls by different signals; the second is to calculate the ultrasonic signal data set of the hollowing defect on the exterior wall. Search space and ultrasonic signal data of the hollowing defect detection position of the exterior wall object Matching ultrasonic signal data of the exterior wall hollowing defect The best position direction; the third is based on the ultrasonic signal data of the hollowing defect detection position of the exterior wall object The most matching ultrasonic signal data of the exterior wall hollowing defect Move the direction of the best position to a new position; S3341, calculating the ultrasonic signal data set of the signal recognition seagull on the hollowing defect of the exterior wall Search space for new positions that do not collide with adjacent signal recognition seagulls during movement ; , ;in The ultrasonic signal data set representing the signal recognition of seagulls on the hollowing defect of the exterior wall The current position in the search space, Indicates the current iteration number; Represents the ultrasonic signal data set for signal recognition of the hollowing defect of the exterior wall described by the seagull Factors controlling movement behavior in space; Indicates control A function of the frequency of change, Indicates the maximum number of iterations; S3342, calculating the ultrasonic signal data set of the hollowing defect in the exterior wall Search space and ultrasonic signal data of the hollowing defect detection position of the exterior wall object Matching ultrasonic signal data of the exterior wall hollowing defect The best position direction ; , ,in Represents the ultrasonic signal data set of the exterior wall hollowing defect Searching for ultrasonic signal data at the hollowing defect detection position of the exterior wall object in the search space Matching ultrasonic signal data of the exterior wall hollowing defect The current best position, Ultrasonic signal data set for signal recognition of seagulls on the hollowing defect of the exterior wall Current position in the search space; represents a random number that balances global and local search capabilities, Represents a random number in the interval [0,1]; S3343, based on the ultrasonic signal data of the hollowing defect detection position of the exterior wall object The most matching ultrasonic signal data of the exterior wall hollowing defect Move to the new position in the direction of the best position , , that is, according to the direction of the optimal position, the ultrasonic signal data set of the hollowing defect in the exterior wall Searching for ultrasonic signal data at the hollowing defect detection position of the exterior wall object in the search space Matching ultrasonic signal data of the exterior wall hollowing defect new location; S335, attack prey, local search, signal recognition seagull on the hollow wall defect ultrasonic signal data set Spiral motion in the air when attacking prey in search space, signal recognition of the new position of the seagull after attacking the prey , , that is, the ultrasonic signal data set of the signal recognition seagull in the hollowing defect of the exterior wall Searching for ultrasonic signal data at the hollowing defect detection position of the exterior wall object in the search space Matching ultrasonic signal data of the exterior wall hollowing defect of prey; S336: Determine whether the maximum number of iterations is met, and then output the ultrasonic signal data corresponding to the hollowing defect detection position of the exterior wall object. Matching ultrasonic signal data of the exterior wall hollowing defect ; If not satisfied, return to step S333; S337: ultrasonic signal data of the hollowing defect detection position of the exterior wall object output according to step S336 Ultrasonic signal data of the exterior wall hollowing defect The ultrasonic signal feature matching results generate the hollow defect detection location of the exterior wall object hollow defect analysis data set ,in Represents the spatial coordinate data of the hollowing defect detection of the exterior wall object Corresponding hollow defect analysis data of the hollow defect detection position of the exterior wall object; when and The ultrasonic signal feature matching is successful, indicating that the spatial coordinate data of the hollowing defect detection of the exterior wall object If there is a hollow defect at the corresponding hollow defect detection position, the hollow defect analysis data of the hollow defect detection position of the exterior wall object will be output. There is a hollow defect; when and The ultrasonic signal features are not matched successfully, indicating that the spatial coordinate data of the hollowing defect detection of the exterior wall object If there is no hollow defect at the corresponding hollow defect detection position, the hollow defect analysis data of the hollow defect detection position of the exterior wall object will be output There is no hollow defect; S34, searching for the hollowing defect analysis data set of the hollowing defect detection position of the exterior wall object Hollowing defect detection locations of all the exterior wall objects with hollowing defects and hollowing defect analysis data And the external wall object hollowing defect detection spatial coordinate data set The spatial coordinate data of the hollowing defect detection of the exterior wall object described in Perform spatial coordinate number character matching for hollowing defect detection of exterior wall objects, identify all hollowing defect detection locations of the exterior wall objects with hollowing defects, and analyze hollowing defect data Corresponding spatial coordinate data of the hollowing defect detection of the exterior wall object , and generate the spatial coordinate data set of the hollowing defect of the exterior wall object through data identification , ,in Indicates The spatial coordinate data of the hollowing defect of each exterior wall object, Indicates The present invention provides a plurality of external wall object hollowing defect spatial coordinate data, wherein the external wall object hollowing defect spatial coordinate data includes the longitude, latitude and altitude of the spatial position of the external wall hollowing defect object.

[0009] Preferably, the steps of constructing the external wall three-dimensional model and the hollowing defect detection spatial coordinate combined data and performing the three-dimensional model acquisition processing of the external wall hollowing defect object with the external wall object hollowing defect spatial coordinate data to generate the external wall hollowing defect object three-dimensional model data are as follows: S41, when the spatial coordinate data set of the hollowing defect of the exterior wall object When the generation is completed, the three-dimensional model data of the exterior wall object A spatial coordinate data set for hollowing defect detection of the exterior wall object The spatial coordinate data of the hollowing defect detection of the exterior wall object described in The three-dimensional model and spatial coordinate data are combined and matched according to the spatial spherical coordinate system as the reference system to construct the external wall three-dimensional model and the hollowing defect detection spatial coordinate combination data. ; S42, the outer wall object hollowing defect spatial coordinate data set The spatial coordinate data of the hollowing defect of the exterior wall object described in to Combined data with the three-dimensional model of the exterior wall and the spatial coordinates of hollowing defect detection According to the spatial coordinate value matching, search for the spatial coordinate data of the hollowing defect of the exterior wall object to The corresponding three-dimensional model of the exterior wall hollow defect object is used, and the spatial coordinate data of the exterior wall object hollow defect is converted into the external wall object hollow defect spatial coordinate data using the exterior wall surface as the reference plane. to The corresponding 3D model of the exterior wall hollow defect object is segmented and collected from the exterior wall 3D model to generate a 3D model data set of the exterior wall hollow defect object ,in Represents the spatial coordinate data of the hollowing defect of the exterior wall object The corresponding 3D model data of the exterior wall hollowing defect object, Represents the spatial coordinate data of the hollowing defect of the exterior wall object Corresponding 3D model data of the exterior wall hollowing defect object.

[0010] Preferably, color rendering is performed on the spatial appearance of the exterior wall hollowing defect object according to the three-dimensional model data of the exterior wall hollowing defect object to generate the spatial rendering appearance data of the exterior wall hollowing defect object as follows: S51, using the spatial geometry color filling tool module in the three-dimensional modeling software to fill the three-dimensional model data set of the exterior wall hollow defect object 3D model data of the exterior wall hollowing defect object to The corresponding 3D model uses different colors to perform spatial appearance color filling and rendering, and generates a spatial rendering appearance data set of the exterior wall hollowing defect object ,in Represents the three-dimensional model data of the exterior wall hollowing defect object The corresponding spatial rendering shape data of the exterior wall hollowing defect object, Represents the three-dimensional model data of the exterior wall hollowing defect object The corresponding spatial rendering shape data of the exterior wall hollow defect object, the three-dimensional modeling software includes any one of Pro / E and UG.

[0011] Preferably, the spatial volume measurement processing of the exterior wall hollowing defect object is performed according to the spatial rendering shape data of the exterior wall hollowing defect object, and the operation steps of generating the spatial volume data of the exterior wall hollowing defect object are as follows: S61, using the spatial geometry volume measurement tool module in the three-dimensional modeling software to render the shape data set of the exterior wall hollow defect object The spatial rendering shape data of the exterior wall hollowing defect object described in to The corresponding three-dimensional model space volume is measured, and the spatial volume data set of the exterior wall hollowing defect object is generated ,in Represents the spatial rendering shape data of the exterior wall hollowing defect object The corresponding spatial volume data of the exterior wall hollowing defect object, Represents the spatial rendering shape data of the exterior wall hollowing defect object The corresponding spatial volume data of the exterior wall hollowing defect object, and The unit is cubic meter.

[0012] Preferably, the steps of constructing the external wall hollowing defect detection result data and performing the external wall hollowing defect detection result feedback operation are as follows: S71, the external wall hollowing defect object space rendering shape data set The spatial rendering shape data of the exterior wall hollowing defect object described in to , the spatial volume data set of the exterior wall hollowing defect object The spatial volume data of the exterior wall hollowing defect object described in to Based on the spatial coordinate data set of the hollowing defect of the exterior wall object The spatial coordinate data of the hollowing defect of the exterior wall object to Combined data with the three-dimensional model of the exterior wall and the spatial coordinates of hollowing defect detection Perform spatial coordinate numerical character matching, match the spatial coordinates of the exterior wall hollow defect object, the rendered appearance three-dimensional model and the spatial volume parameters of the exterior wall three-dimensional model with the hollow defect detection spatial coordinate combination data Corresponding to the external wall three-dimensional model, and generating external wall hollowing defect detection result data .

[0013] S72, the exterior wall hollowing defect detection result data The spatial coordinates of the exterior wall hollow defect object, the rendered appearance three-dimensional model and the spatial volume parameters are used to feedback the exterior wall hollow defect detection results through the display screen.

[0014] An external wall hollowing intelligent detection system, used to implement the external wall hollowing intelligent detection method, the system comprises an external wall hollowing defect state detection module, an external wall hollowing defect feature detection module, and an external wall hollowing defect detection result feedback module; The exterior wall hollowing defect state detection module includes an exterior wall object three-dimensional model acquisition unit, an exterior wall object hollowing defect detection space coordinate construction unit, an exterior wall object hollowing defect detection operation execution unit, an exterior wall object hollowing defect detection position ultrasonic signal acquisition unit, an exterior wall hollowing defect ultrasonic signal storage unit, and an exterior wall object hollowing defect space position identification unit; The exterior wall object three-dimensional model acquisition unit acquires the exterior wall object three-dimensional model data by means of a three-dimensional laser scanner mounted on an unmanned aerial vehicle; the exterior wall object hollowing defect detection spatial coordinate construction unit performs hollowing defect detection position coordinate construction processing on the exterior wall object according to the exterior wall object three-dimensional model data, and generates exterior wall object hollowing defect detection spatial coordinate data; the exterior wall object hollowing defect detection operation execution unit performs exterior wall hollowing defect detection operations according to the exterior wall object hollowing defect detection spatial coordinate data; the exterior wall object hollowing defect detection position ultrasonic signal acquisition unit acquires the exterior wall object hollowing defect detection position ultrasonic signal data by means of an ultrasonic flaw detector mounted on an unmanned aerial vehicle; the exterior wall hollowing defect ultrasonic signal storage unit is used to store the exterior wall hollowing defect ultrasonic signal data; the exterior wall object hollowing defect spatial position identification unit performs detection position spatial coordinate parameter identification processing of the exterior wall hollowing defect according to the exterior wall object hollowing defect detection position ultrasonic signal data and the exterior wall hollowing defect ultrasonic signal data, and generates exterior wall object hollowing defect spatial coordinate data; The exterior wall hollow defect feature detection module includes an exterior wall object three-dimensional model and hollow defect detection space coordinate combination information generation unit, an exterior wall object hollow defect space three-dimensional model generation unit, an exterior wall object hollow defect space shape rendering unit, and an exterior wall object hollow defect space volume measurement unit; The exterior wall object three-dimensional model and hollowing defect detection spatial coordinate combination information generating unit is used to construct exterior wall three-dimensional model and hollowing defect detection spatial coordinate combination data; the exterior wall object hollowing defect spatial three-dimensional model generating unit performs three-dimensional model acquisition processing of the exterior wall hollowing defect object with the exterior wall three-dimensional model and hollowing defect detection spatial coordinate combination data and the exterior wall object hollowing defect spatial coordinate data to generate exterior wall hollowing defect object three-dimensional model data; the exterior wall object hollowing defect spatial appearance rendering unit performs color rendering processing on the spatial appearance of the exterior wall hollowing defect object according to the exterior wall hollowing defect object three-dimensional model data to generate exterior wall hollowing defect object spatial rendering appearance data; the exterior wall object hollowing defect spatial volume measurement unit performs spatial volume measurement processing on the exterior wall hollowing defect object according to the exterior wall hollowing defect object spatial rendering appearance data to generate exterior wall hollowing defect object spatial volume data; The external wall hollowing defect detection result feedback module includes an external wall hollowing defect detection result information construction unit and an external wall hollowing defect detection result information display unit; The exterior wall hollowing defect detection result information construction unit is used to construct the exterior wall hollowing defect detection result data; the exterior wall hollowing defect detection result information display unit performs the exterior wall hollowing defect detection result feedback operation according to the exterior wall hollowing defect detection result data and in cooperation with the display screen.

[0015] (III) Beneficial effects The present invention provides an intelligent detection method and system for hollowing of exterior walls, which has the following beneficial effects: 1. Use the drone-mounted 3D laser scanner to accurately collect the 3D model parameters of the exterior wall object online, providing reliable data support for accurately analyzing the characteristics of exterior wall hollowing defects; scientifically establish the spatial coordinate parameters for exterior wall object hollowing defect detection and combine the drone-mounted ultrasonic flaw detector to autonomously and efficiently perform exterior wall hollowing defect detection operations, thereby improving the efficiency of exterior wall hollowing detection; use the drone-mounted ultrasonic flaw detector to dynamically collect the ultrasonic signal of the exterior wall object hollowing defect detection position, combine the intelligent recognition algorithm with the exterior wall hollowing defect ultrasonic signal parameters to perform intelligent analysis of the exterior wall hollowing defect object and the hollowing defect spatial position, thereby realizing intelligent operation of exterior wall hollowing detection.

[0016] 2. Through data analysis, we scientifically construct the combination parameters of the exterior wall three-dimensional model and the hollowing defect detection spatial coordinates, and use the spatial coordinate data of the exterior wall object hollowing defect to accurately collect the three-dimensional model of the exterior wall hollowing defect object, so as to accurately establish the three-dimensional model parameters of the exterior wall hollowing defect object; perform appearance different-color rendering processing and accurate spatial volume measurement on the three-dimensional model of the exterior wall hollowing defect object, so as to realize the real intelligent detection of the spatial geometric characteristic parameters of the exterior wall hollowing defect, and improve the accuracy and reliability of the exterior wall hollowing detection results.

[0017] 3. By scientifically constructing the exterior wall hollowing defect detection result parameters based on the exterior wall object three-dimensional model, the exterior wall object hollowing defect detection spatial coordinates, the exterior wall hollowing defect object spatial coordinates, the exterior wall hollowing defect object rendering three-dimensional model and the exterior wall hollowing defect object spatial volume parameters, and cooperating with the display screen to intuitively output the exterior wall hollowing defect detection results, the spatial position, spatial geometry and spatial volume parameters of the exterior wall hollowing defect object are intuitively highlighted and fed back to the monitoring end, thereby improving the visualization effect and quality of the exterior wall hollowing detection operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A schematic diagram of a module of an external wall hollowing intelligent detection system provided by the present invention; Figure 2 The present invention provides a flow chart of an intelligent method for detecting hollowing of exterior walls. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] The embodiments of the external wall hollowing intelligent detection method and system are as follows:

[0021] Embodiment 1: See also Figure 1 - Figure 2 , an intelligent detection method for external wall hollowing, the method comprising the following steps: S1. Collecting 3D model data of exterior wall objects; S2, constructing and processing the position coordinates of the hollowing defect detection of the exterior wall object according to the three-dimensional model data of the exterior wall object, generating the spatial coordinate data of the hollowing defect detection of the exterior wall object and performing the exterior wall hollowing defect detection operation; S3, collecting ultrasonic signal data of the hollowing defect detection position of the exterior wall object, and performing spatial coordinate parameter identification processing on the detection position of the hollowing defect of the exterior wall with the ultrasonic signal data of the hollowing defect of the exterior wall, to generate the spatial coordinate data of the hollowing defect of the exterior wall object, and when the spatial coordinate data of the hollowing defect of the exterior wall object has not been generated, continuing to execute the operation instruction of generating the spatial coordinate data of the hollowing defect of the exterior wall object; S4. When the generation of the spatial coordinate data of the hollowing defect of the exterior wall object is completed, the exterior wall three-dimensional model and the hollowing defect detection spatial coordinate combination data are constructed, and the three-dimensional model acquisition and processing of the exterior wall hollowing defect object is performed with the spatial coordinate data of the hollowing defect of the exterior wall object to generate the three-dimensional model data of the exterior wall hollowing defect object; S5, performing color rendering processing on the spatial appearance of the exterior wall hollowing defect object according to the three-dimensional model data of the exterior wall hollowing defect object, and generating spatial rendering appearance data of the exterior wall hollowing defect object; S6, performing spatial volume measurement processing on the exterior wall hollowing defect object according to the spatial rendering shape data of the exterior wall hollowing defect object, and generating spatial volume data of the exterior wall hollowing defect object; S7, constructing the external wall hollowing defect detection result data and executing the external wall hollowing defect detection result feedback operation.

[0022] For further information, see Figure 1 - Figure 2 , the steps to collect the 3D model data of the exterior wall object are as follows: S11. Use a drone equipped with a 3D laser scanner to scan and collect the spatial 3D solid model parameters of the entire target exterior wall online and generate 3D model data of the exterior wall object .

[0023] The steps for constructing and processing the position coordinates of the hollowing defect detection of the exterior wall object based on the three-dimensional model data of the exterior wall object, generating the spatial coordinate data of the hollowing defect detection of the exterior wall object and performing the exterior wall hollowing defect detection operation are as follows: S21. 3D model data of exterior wall objects The corresponding exterior wall surface is processed by plane meshing according to a square with a side length of L, and a spatial spherical coordinate system is established with the earth as the base. The spatial coordinate data of the center point of the exterior wall surface meshing square in the spatial spherical coordinate system is obtained, and a spatial coordinate data set for hollowing defect detection of the exterior wall object is generated. , ;in Indicates The spatial coordinate data of hollowing defect detection of exterior wall objects, Indicates the maximum value of the number of spatial coordinates of the hollowing defect detection of the exterior wall object, where the spatial coordinate data of the hollowing defect detection of the exterior wall object includes the longitude, latitude and altitude of the hollowing defect detection position of the exterior wall object; S22. Use a drone equipped with an ultrasonic flaw detector to detect the spatial coordinate data set of the hollowing defects of the exterior wall object. Spatial coordinate data for hollowing defect detection of external wall objects to Carry out exterior wall hollow defect detection work in an orderly manner.

[0024] The ultrasonic signal data of the hollowing defect detection position of the exterior wall object is collected and the spatial coordinate parameter identification processing of the detection position of the hollowing defect of the exterior wall is performed with the ultrasonic signal data of the hollowing defect of the exterior wall to generate the spatial coordinate data of the hollowing defect of the exterior wall object is performed as follows: S31. Establishing ultrasonic signal data set of external wall hollowing defects , ;in Indicates Ultrasonic signal data of hollow defects in exterior walls. Indicates the maximum value of the number of ultrasonic signal types of external wall hollowing defects. The ultrasonic signal data of the external wall hollowing defects indicates ultrasonic waveform characteristic signal data of the hollowing defect characteristics on the surface of the external wall; S32. During the process of performing the external wall hollowing defect detection operation, the ultrasonic flaw detector carried by the drone is used to detect the hollowing defect of the external wall object according to the spatial coordinate data set. Spatial coordinate data for hollowing defect detection of external wall objects to Orderly collect ultrasonic signal data at each hollow defect detection spatial coordinate position, and generate an ultrasonic signal data set at the hollow defect detection position of the exterior wall object ,in Represents the spatial coordinate data of the hollowing defect detection of the exterior wall object The corresponding ultrasonic signal data of the hollowing defect detection position of the external wall object, the ultrasonic signal data of the hollowing defect detection position of the external wall object represents the ultrasonic waveform characteristic signal data at each hollowing defect detection space coordinate position on the surface of the external wall; S33, collecting ultrasonic signal data of the hollowing defect detection position of the exterior wall object Ultrasonic signal data of hollow defect detection position of internal and external wall objects Ultrasonic signal data collection of exterior wall hollowing defects Ultrasonic signal data of hollow defects in internal and external walls Perform ultrasonic signal feature matching and generate a hollow defect analysis data set for the hollow defect detection location of the exterior wall object based on the ultrasonic signal feature matching results , execute and generate the hollowing defect analysis data set of the exterior wall object hollowing defect detection location The specific steps are as follows: S331, initializing parameters and updating the maximum number of iterations T of the algorithm; S332, initializing the position of the seagull population by signal recognition, that is, updating the ultrasonic signal data set of the hollowing defect of the external wall by the signal recognition seagull population Position in the search space; S333. Calculate the ultrasonic signal data set of the external wall hollowing defect All ultrasonic signal data of hollow defects in the exterior wall Ultrasonic signal data of hollowing defect detection location of exterior wall objects The fitness value is retained in the ultrasonic signal data set of the hollowing defect of the exterior wall Ultrasonic signal data of hollowing defect detection position of exterior wall object in search space Ultrasonic signal data of the external wall hollowing defect with the largest fitness value The global optimal position of S334, Migration, Global Search: There are three main steps in signal recognition of seagull migration behavior. The first step is to meet the ultrasonic signal data set of hollow wall defects. The search space is used to identify the conditions for avoiding collisions between individual seagulls by different signals; the second is to calculate the ultrasonic signal data set of hollow wall defects Search space and ultrasonic signal data of hollowing defect detection position of exterior wall object Matching ultrasonic signal data of exterior wall hollowing defects The best position direction; thirdly, according to the ultrasonic signal data of the hollowing defect detection position of the exterior wall object The most matching ultrasonic signal data of exterior wall hollowing defects Move the direction of the best position to a new position; S3341, Calculate signal recognition of seagulls on the external wall hollowing defect ultrasonic signal data set Search space for new positions that do not collide with adjacent signal recognition seagulls during movement ; , ;in Represents the ultrasonic signal data set for signal recognition of seagulls on hollow defects in exterior walls The current position in the search space, Indicates the current iteration number; Represents the ultrasonic signal data set for signal recognition of hollow defects on the exterior wall of Seagull Factors controlling movement behavior in space; Indicates control A function of the frequency of change, Indicates the maximum number of iterations; S3342, calculate the ultrasonic signal data set of the hollowing defect in the exterior wall Search space and ultrasonic signal data of hollowing defect detection position of exterior wall object Matching ultrasonic signal data of exterior wall hollowing defects The best position direction ; , ,in Ultrasonic signal data set representing hollowing defects in exterior walls Search the search space to find the ultrasonic signal data of the hollowing defect detection position of the exterior wall object Matching ultrasonic signal data of exterior wall hollowing defects The current best position, Ultrasonic signal data set for signal recognition of seagulls on hollow walls Current position in the search space; represents a random number that balances global and local search capabilities, Represents a random number in the interval [0,1]; S3343, based on the ultrasonic signal data of the hollowing defect detection position of the exterior wall object The most matching ultrasonic signal data of exterior wall hollowing defects Move to the new position in the direction of the best position , , that is, according to the direction of the best position, the ultrasonic signal data set of the hollowing defect in the exterior wall Search the search space to find the ultrasonic signal data of the hollowing defect detection position of the exterior wall object Matching ultrasonic signal data of exterior wall hollowing defects new location; S335, attack prey, local search, signal recognition, seagull ultrasonic signal data set on hollow defects on exterior walls Spiral motion in the air when attacking prey in search space, signal recognition of the new position of the seagull after attacking the prey , , that is, the ultrasonic signal data set of signal recognition seagull on the hollowing defect of the exterior wall Search the search space to find the ultrasonic signal data of the hollowing defect detection position of the exterior wall object Matching ultrasonic signal data of exterior wall hollowing defects of prey; S336: Determine whether the maximum number of iterations is met, and then output the ultrasonic signal data corresponding to the hollowing defect detection position of the exterior wall object. Matching ultrasonic signal data of exterior wall hollowing defects ; If not satisfied, return to step S333; S337: ultrasonic signal data of the hollowing defect detection position of the exterior wall object outputted in step S336 Ultrasonic signal data of hollow defects in exterior walls The ultrasonic signal feature matching results generate the hollow defect detection location of the exterior wall object hollow defect analysis data set ,in Represents the spatial coordinate data of the hollowing defect detection of the exterior wall object Corresponding hollow defect analysis data of the hollow defect detection position of the exterior wall object; when and The ultrasonic signal feature matching is successful, indicating the spatial coordinate data of the hollowing defect detection of the exterior wall object If there is a hollow defect at the corresponding hollow defect detection position, the hollow defect analysis data of the hollow defect detection position of the exterior wall object will be output. There is a hollow defect; when and The ultrasonic signal features were not matched successfully, indicating that the spatial coordinate data of the hollow defect detection of the exterior wall object If there is no hollow defect at the corresponding hollow defect detection position, the hollow defect analysis data of the hollow defect detection position of the exterior wall object will be output There is no hollow defect; S34, searching for the hollowing defect detection position of the exterior wall object and the hollowing defect analysis data set All exterior wall objects with hollow defects Hollow defect detection locations Hollow defect analysis data And with the spatial coordinate data set of the hollowing defect detection of the exterior wall object Spatial coordinate data for hollowing defect detection of external wall objects Perform spatial coordinate number character matching for hollowing defect detection of exterior wall objects, identify the hollowing defect detection locations of all exterior wall objects with hollowing defects, and analyze the hollowing defect data Corresponding spatial coordinate data of hollowing defect detection of exterior wall objects , and generate the spatial coordinate data set of the hollowing defect of the exterior wall object through data identification , ,in Indicates The spatial coordinate data of the hollowing defect of each exterior wall object, Indicates The spatial coordinate data of the hollowing defect of the exterior wall object includes the longitude, latitude and altitude of the spatial position of the exterior wall hollowing defect object.

[0025] Through the exterior wall object three-dimensional model acquisition unit, a drone-mounted three-dimensional laser scanner is used to accurately collect the exterior wall object three-dimensional model parameters online, providing reliable data support for accurately analyzing the characteristics of exterior wall hollowing defects; the exterior wall object hollowing defect detection spatial coordinate construction unit and the exterior wall object hollowing defect detection operation execution unit cooperate with each other to scientifically establish the exterior wall object hollowing defect detection spatial coordinate parameters and combine the drone-mounted ultrasonic flaw detector to autonomously and efficiently perform exterior wall hollowing defect detection operations, thereby improving the efficiency of exterior wall hollowing detection; the exterior wall object hollowing defect detection position ultrasonic signal acquisition unit and the exterior wall object hollowing defect spatial position recognition unit cooperate with each other to dynamically collect the exterior wall object hollowing defect detection position ultrasonic signal through the drone-mounted ultrasonic wave, and combine the intelligent recognition algorithm with the exterior wall hollowing defect ultrasonic signal parameters to perform intelligent analysis of the exterior wall hollowing defect object and the hollowing defect spatial position, thereby realizing intelligent operation of exterior wall hollowing detection.

[0026] For further information, see Figure 1 - Figure 2 , construct the external wall three-dimensional model and hollowing defect detection spatial coordinate combination data, and use the external wall object hollowing defect spatial coordinate data to perform external wall hollowing defect object three-dimensional model acquisition and processing. The operation steps for generating external wall hollowing defect object three-dimensional model data are as follows: S41, when the external wall object hollowing defect spatial coordinate data set When the generation is completed, the 3D model data of the exterior wall object Spatial coordinate data set for hollowing defect detection of exterior wall objects Spatial coordinate data for hollowing defect detection of external wall objects The three-dimensional model and spatial coordinate data are combined and matched according to the spatial spherical coordinate system as the reference system to construct the external wall three-dimensional model and the hollowing defect detection spatial coordinate combination data. ; S42, collecting the spatial coordinate data of the hollowing defect of the exterior wall object Spatial coordinate data of hollow defects in external walls to Combined data with the exterior wall 3D model and hollowing defect detection spatial coordinates According to the matching of spatial coordinate values, search for the spatial coordinate data of the hollowing defect of the exterior wall object to The corresponding three-dimensional model of the exterior wall hollow defect object is used, and the spatial coordinate data of the exterior wall object hollow defect is converted into the external wall object hollow defect spatial coordinate data using the exterior wall surface as the reference plane. to The corresponding 3D model of the exterior wall hollow defect object is segmented and collected from the exterior wall 3D model to generate a 3D model data set of the exterior wall hollow defect object ,in Represents the spatial coordinate data of the hollowing defect of the exterior wall object The corresponding 3D model data of the exterior wall hollowing defect object, Represents the spatial coordinate data of the hollowing defect of the exterior wall object Corresponding 3D model data of the exterior wall hollowing defect object.

[0027] The steps for color rendering of the spatial shape of the exterior wall hollowing defect object based on the three-dimensional model data of the exterior wall hollowing defect object and generating the spatial rendering shape data of the exterior wall hollowing defect object are as follows: S51. Use the spatial geometry color filling tool module in the 3D modeling software to collect the 3D model data of the external wall hollow defect object 3D model data of hollowing defect objects in internal and external walls to The corresponding 3D model uses different colors to perform spatial appearance color filling and rendering, and generates a spatial rendering appearance data set of the exterior wall hollowing defect object ,in Represents the 3D model data of the exterior wall hollow defect object The corresponding spatial rendering shape data of the exterior wall hollowing defect object, Represents the 3D model data of the exterior wall hollow defect object The corresponding spatial rendering shape data of the exterior wall hollow defect object, the 3D modeling software includes any one of Pro / E and UG.

[0028] The spatial volume measurement and processing of the exterior wall hollowing defect object is performed based on the spatial rendering shape data of the exterior wall hollowing defect object. The operation steps for generating the spatial volume data of the exterior wall hollowing defect object are as follows: S61. Use the spatial geometry volume measurement tool module in the 3D modeling software to render the shape data set of the external wall hollow defect object Space rendering shape data of hollowing defect objects in the interior and exterior walls to The corresponding three-dimensional model space volume is measured, and the spatial volume data set of the exterior wall hollowing defect object is generated ,in Represents the spatial rendering shape data of the exterior wall hollow defect object The corresponding spatial volume data of the exterior wall hollowing defect object, Represents the spatial rendering shape data of the exterior wall hollow defect object The corresponding spatial volume data of the exterior wall hollowing defect object, and The unit is cubic meter.

[0029] Through the cooperation of the exterior wall object three-dimensional model and hollowing defect detection spatial coordinate combination information generation unit and the exterior wall object hollowing defect spatial three-dimensional model generation unit, data analysis is scientifically constructed to construct the exterior wall three-dimensional model and hollowing defect detection spatial coordinate combination parameters, and the exterior wall object hollowing defect spatial coordinate data are used to accurately collect the three-dimensional model of the exterior wall hollowing defect object, so as to accurately establish the three-dimensional model parameters of the exterior wall hollowing defect object; the exterior wall object hollowing defect spatial appearance rendering unit and the exterior wall object hollowing defect spatial volume measurement unit cooperate with each other to perform appearance different-color rendering processing and accurate spatial volume measurement on the three-dimensional model of the exterior wall hollowing defect object, so as to realize the real intelligent detection of the spatial geometric characteristic parameters of the exterior wall hollowing defect, and improve the accuracy and reliability of the exterior wall hollowing defect detection results.

[0030] For further information, see Figure 1 - Figure 2 The steps for constructing the external wall hollowing defect detection result data and performing the external wall hollowing defect detection result feedback operation are as follows: S71. Rendering the shape data set of the exterior wall hollowing defect object space Space rendering shape data of hollowing defect objects in the interior and exterior walls to , Spatial volume data set of exterior wall hollowing defect objects Spatial volume data of hollowing defects in internal and external walls to Based on the spatial coordinate data set of hollow defects of exterior wall objects The spatial coordinate data of the hollowing defect of the exterior wall object in to Combined data with the exterior wall 3D model and hollowing defect detection spatial coordinates Perform spatial coordinate numerical character matching to match the spatial coordinates of the exterior wall hollow defect object, the rendered appearance 3D model and the spatial volume parameters to the exterior wall 3D model and the hollow defect detection spatial coordinate combination data Corresponding to the external wall three-dimensional model, and generating external wall hollowing defect detection result data .

[0031] S72, the external wall hollowing defect detection result data The spatial coordinates of the exterior wall hollow defect object, the rendered appearance three-dimensional model and the spatial volume parameters are used to feedback the exterior wall hollow defect detection results through the display screen.

[0032] Through the cooperation of the exterior wall hollowing defect detection result information construction unit and the exterior wall hollowing defect detection result information display unit, the exterior wall hollowing defect detection result parameters are scientifically constructed based on the exterior wall object three-dimensional model, the exterior wall object hollowing defect detection spatial coordinates, the exterior wall hollowing defect object spatial coordinates, the exterior wall hollowing defect object rendering three-dimensional model and the exterior wall hollowing defect object spatial volume parameters. The exterior wall hollowing defect detection results are intuitively output in conjunction with the display screen, so that the spatial position, spatial geometric shape and spatial volume parameters of the exterior wall hollowing defect object are intuitively highlighted and fed back to the monitoring end, thereby improving the visualization effect and quality of the exterior wall hollowing detection operation.

[0033] Embodiment 2: See also Figure 1 - Figure 2 , an external wall hollowing intelligent detection system, used to implement an external wall hollowing intelligent detection method, the system includes an external wall hollowing defect state detection module, an external wall hollowing defect feature detection module, and an external wall hollowing defect detection result feedback module; The exterior wall hollowing defect state detection module includes an exterior wall object three-dimensional model acquisition unit, an exterior wall object hollowing defect detection space coordinate construction unit, an exterior wall object hollowing defect detection operation execution unit, an exterior wall object hollowing defect detection position ultrasonic signal acquisition unit, an exterior wall hollowing defect ultrasonic signal storage unit, and an exterior wall object hollowing defect space position recognition unit; The three-dimensional model acquisition unit of the exterior wall object acquires the three-dimensional model data of the exterior wall object through a three-dimensional laser scanner mounted on a drone; the spatial coordinate construction unit for detecting hollowing defects of the exterior wall object performs the construction processing of the coordinates of the hollowing defect detection position of the exterior wall object according to the three-dimensional model data of the exterior wall object, and generates the spatial coordinate data of the hollowing defect detection of the exterior wall object; the operation execution unit for detecting hollowing defects of the exterior wall object performs the operation of detecting hollowing defects of the exterior wall object according to the spatial coordinate data of the hollowing defect detection of the exterior wall object; the ultrasonic signal acquisition unit for the position of the hollowing defect detection of the exterior wall object acquires the ultrasonic signal data of the position of the hollowing defect detection of the exterior wall object through an ultrasonic flaw detector mounted on a drone; the ultrasonic signal storage unit for the hollowing defect of the exterior wall is used to store the ultrasonic signal data of the hollowing defect of the exterior wall; the spatial position identification unit for the hollowing defect of the exterior wall object performs the spatial coordinate parameter identification processing of the detection position of the hollowing defect of the exterior wall according to the ultrasonic signal data of the hollowing defect detection position of the exterior wall object and the ultrasonic signal data of the hollowing defect of the exterior wall, and generates the spatial coordinate data of the hollowing defect of the exterior wall object; The exterior wall hollow defect feature detection module includes an exterior wall object three-dimensional model and hollow defect detection space coordinate combination information generation unit, an exterior wall object hollow defect space three-dimensional model generation unit, an exterior wall object hollow defect space shape rendering unit, and an exterior wall object hollow defect space volume measurement unit; The unit for generating information of the combination of the three-dimensional model of the exterior wall object and the spatial coordinates of the hollowing defect detection is used to construct the combination data of the three-dimensional model of the exterior wall and the spatial coordinates of the hollowing defect detection; the unit for generating the three-dimensional spatial model of the exterior wall object hollowing defect collects and processes the three-dimensional model of the exterior wall hollowing defect object with the combination data of the three-dimensional model of the exterior wall and the hollowing defect detection spatial coordinates and the spatial coordinate data of the exterior wall object hollowing defect, and generates the three-dimensional model data of the exterior wall hollowing defect object; the unit for rendering the spatial appearance of the exterior wall object hollowing defect performs color rendering processing on the spatial appearance of the exterior wall hollowing defect object according to the three-dimensional model data of the exterior wall hollowing defect object, and generates the spatial rendering appearance data of the exterior wall hollowing defect object; the unit for measuring the spatial volume of the exterior wall object hollowing defect performs spatial volume measurement processing on the exterior wall hollowing defect object according to the spatial rendering appearance data of the exterior wall hollowing defect object, and generates the spatial volume data of the exterior wall hollowing defect object; The external wall hollowing defect detection result feedback module includes an external wall hollowing defect detection result information construction unit and an external wall hollowing defect detection result information display unit; The exterior wall hollowing defect detection result information construction unit is used to construct the exterior wall hollowing defect detection result data; the exterior wall hollowing defect detection result information display unit performs the exterior wall hollowing defect detection result feedback operation according to the exterior wall hollowing defect detection result data and in cooperation with the display screen.

[0034] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent detection method for external wall hollowing, characterized in that: The method comprises the following steps: S1. Collecting 3D model data of exterior wall objects; S2, constructing and processing the position coordinates of the hollowing defect detection of the exterior wall object according to the three-dimensional model data of the exterior wall object, generating the spatial coordinate data of the hollowing defect detection of the exterior wall object and performing the exterior wall hollowing defect detection operation; S3, collecting ultrasonic signal data of the hollowing defect detection position of the exterior wall object and performing spatial coordinate parameter recognition processing on the detection position where the hollowing defect exists in the exterior wall with the ultrasonic signal data of the hollowing defect of the exterior wall to generate spatial coordinate data of the hollowing defect of the exterior wall object; S4, constructing the external wall three-dimensional model and hollowing defect detection spatial coordinate combination data and performing three-dimensional model acquisition and processing of the external wall hollowing defect object on the external wall object hollowing defect spatial coordinate data to generate the external wall hollowing defect object three-dimensional model data; S5, performing color rendering processing on the spatial appearance of the exterior wall hollowing defect object according to the three-dimensional model data of the exterior wall hollowing defect object, and generating spatial rendering appearance data of the exterior wall hollowing defect object; S6, performing spatial volume measurement processing on the exterior wall hollowing defect object according to the spatial rendering shape data of the exterior wall hollowing defect object, and generating spatial volume data of the exterior wall hollowing defect object; S7, constructing the external wall hollowing defect detection result data and executing the external wall hollowing defect detection result feedback operation.

2. According to claim 1, an intelligent detection method for hollowing of exterior walls is characterized by: The S1 comprises the following steps: S11. Use a drone equipped with a 3D laser scanner to scan and collect the spatial 3D solid model parameters of the entire target exterior wall online and generate 3D model data of the exterior wall object .

3. The method for intelligent detection of hollowing of exterior walls according to claim 2, characterized in that: The S2 comprises the following steps: S21, in the three-dimensional model data of the exterior wall object The corresponding exterior wall surface is plane meshed according to a square with a side length of L, and a spatial spherical coordinate system is established with the earth as the base, and the spatial coordinate data of the center point of the exterior wall surface meshing square in the spatial spherical coordinate system is obtained, and a spatial coordinate data set for hollowing defect detection of the exterior wall object is generated. , ;in Indicates The spatial coordinate data of hollowing defect detection of exterior wall objects, Indicates the maximum value of the spatial coordinates of the hollowing defect detection of the exterior wall object; S22, using an unmanned aerial vehicle equipped with an ultrasonic flaw detector to detect the spatial coordinate data set based on the hollowing defect of the exterior wall object The spatial coordinate data of the hollowing defect detection of the exterior wall object described in to Carry out exterior wall hollow defect detection work in an orderly manner.

4. The method for intelligent detection of hollowing of exterior walls according to claim 3, characterized in that: The S3 comprises the following steps: S31. Establishing ultrasonic signal data set of external wall hollowing defects , ;in Indicates Ultrasonic signal data of hollow defects in exterior walls. Indicates the maximum value of the number of ultrasonic signal types of external wall hollowing defects, wherein the ultrasonic signal data of the external wall hollowing defects indicates ultrasonic waveform characteristic signal data of the characteristics of the hollowing defects on the surface of the external wall; S32. During the process of performing the external wall hollowing defect detection operation, the ultrasonic flaw detector is simultaneously carried out by a drone according to the As stated in to Orderly collect ultrasonic signal data at each hollow defect detection spatial coordinate position, and generate an ultrasonic signal data set at the hollow defect detection position of the exterior wall object ,in Indicates the The corresponding ultrasonic signal data of the hollowing defect detection position of the exterior wall object; S33, the As stated in The ultrasonic signal data set of the exterior wall hollowing defect As stated in Perform ultrasonic signal feature matching and generate a hollow defect analysis data set for the hollow defect detection location of the exterior wall object based on the ultrasonic signal feature matching results , execute to generate the hollowing defect analysis data set of the hollowing defect detection position of the exterior wall object The specific steps are as follows: S331, initializing parameters and updating the maximum number of iterations T of the algorithm; S332, initializing the position of the seagull population identified by the signal, that is, the seagull population identified by the signal is updated in the Position in the search space; S333, calculating the All of the above With the The fitness value of The search space is The one with the largest fitness value The global optimal position of S334, Migration, Global Search: There are three main steps in signal recognition of seagull migration behavior. The first step is to meet the requirements in the The search space is used to identify the conditions for avoiding collisions between individual seagulls by different signals; the second step is to calculate the conditions for avoiding collisions between the individual seagulls in the search space. The search space is similar to the Matching the The best position direction; the third is based on the The best match for Move the direction of the best position to a new position; S3341, calculating the signal to identify the seagull in the Search space for new positions that do not collide with adjacent signal recognition seagulls during movement ; S3342, calculated in the The search space is similar to the Matching the The best position direction ; S3343, according to the The best match for Move to the new position in the direction of the best position ; S335, attacking prey, local search, signal recognition seagulls in the Spiral motion in the air when attacking prey in search space, signal recognition of the new position of the seagull after attacking the prey ; S336: Determine whether the maximum number of iterations is met, and then output the Matching the ; If not satisfied, return to step S333; S337, according to the output of step S336 With the The ultrasonic signal feature matching results generate the hollow defect detection location of the exterior wall object hollow defect analysis data set ,in Indicates the Corresponding hollow defect analysis data of the hollow defect detection position of the exterior wall object; when and The ultrasonic signal feature matching is successful, indicating that If there is a hollow defect at the corresponding hollow defect detection position, the hollow defect analysis data of the hollow defect detection position of the exterior wall object will be output. There is a hollow defect; when and The ultrasonic signal features were not matched successfully, indicating that If there is no hollow defect at the corresponding hollow defect detection position, the hollow defect analysis data of the hollow defect detection position of the exterior wall object will be output There is no hollow defect; S34, search out the All of the above mentioned and with the As stated in Perform spatial coordinate number character matching for hollowing defect detection of exterior wall objects to identify all the hollowing defects. The corresponding , and generate the spatial coordinate data set of the hollowing defect of the exterior wall object through data identification , ,in Indicates The spatial coordinate data of the hollowing defect of each exterior wall object, Indicates The spatial coordinate data of hollow defects of exterior wall objects.

5. The method for intelligent detection of hollowing of exterior walls according to claim 4, characterized in that: The S4 comprises the following steps: S41, when the When the generation is complete, With the As stated in The three-dimensional model and spatial coordinate data are combined and matched according to the spatial spherical coordinate system as the reference system to construct the external wall three-dimensional model and the hollowing defect detection spatial coordinate combination data. ; S42, the As stated in to With the According to the spatial coordinate value matching, search for the to The corresponding three-dimensional model of the exterior wall hollowing defect object is taken as the reference plane. to The corresponding 3D model of the exterior wall hollow defect object is segmented and collected from the exterior wall 3D model to generate a 3D model data set of the exterior wall hollow defect object ,in Indicates the The corresponding 3D model data of the exterior wall hollowing defect object, Indicates the Corresponding 3D model data of the exterior wall hollowing defect object.

6. The method for intelligent detection of hollowing of exterior walls according to claim 5, characterized in that: The S5 comprises the following steps: S51, using the spatial geometry color filling tool module in the three-dimensional modeling software to As stated in to The corresponding 3D model uses different colors to perform spatial appearance color filling and rendering processing, and generates a spatial rendering appearance data set of the exterior wall hollow defect object ,in Indicates the The corresponding spatial rendering shape data of the exterior wall hollowing defect object, Indicates the The corresponding spatial rendering appearance data of the exterior wall hollow defect object.

7. The method for intelligent detection of external wall hollowing according to claim 6, characterized in that: The S6 comprises the following steps: S61, using the spatial geometry volume measurement tool module in the three-dimensional modeling software to measure the As stated in to The corresponding three-dimensional model space volume is measured, and the spatial volume data set of the exterior wall hollowing defect object is generated ,in Indicates the The corresponding spatial volume data of the exterior wall hollowing defect object, Indicates the The corresponding spatial volume data of the exterior wall hollowing defect object, and The unit is cubic meter.

8. The method for intelligent detection of hollowing of exterior walls according to claim 7, characterized in that: The S7 comprises the following steps: S71, the As stated in to , As stated in to Based on the In to With the Perform spatial coordinate numerical character matching to match the spatial coordinates, rendered appearance 3D model and spatial volume parameters of the exterior wall hollow defect object to the Corresponding to the external wall three-dimensional model, and generating external wall hollowing defect detection result data ; S72, the The spatial coordinates of the exterior wall hollow defect object, the rendered appearance three-dimensional model and the spatial volume parameters are used to feedback the exterior wall hollow defect detection results through the display screen.

9. An external wall hollowing intelligent detection system, used to implement an external wall hollowing intelligent detection method according to any one of claims 1 to 8, characterized in that: The system comprises an external wall hollowing defect state detection module, an external wall hollowing defect feature detection module, and an external wall hollowing defect detection result feedback module.

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