Environment-friendly curtain wall intelligent monitoring management system and method based on Internet of Things

Abstract

The invention relates to the technical field of curtain wall state supervision, and discloses a green and environment-friendly curtain wall intelligent monitoring management system and method based on the Internet of Things, and the system comprises a curtain wall maintenance position positioning module, a curtain wall maintenance problem recognition module, and a curtain wall maintenance result display module. The position and direction image parameters of the curtain wall surface maintenance operation guide point are set in a standard mode, an intelligent search algorithm and the real-time image parameters of the curtain wall surface are combined for intelligent analysis of the position and direction information of the curtain wall surface maintenance operation guide point, and remote self-adaptive recognition and positioning of the curtain wall maintenance position are achieved; the curtain wall structure fault state image information is scientifically preset, and the intelligent recognition algorithm and the curtain wall structure state image information are combined to accurately evaluate the curtain wall structure fault problem, so that the curtain wall fault problem is dynamically and scientifically recognized, and the reliability and applicability of curtain wall maintenance and management are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of curtain wall status supervision, and in particular to a green and environmentally friendly curtain wall intelligent monitoring management system and method based on the Internet of Things. Background Art

[0002] The green environmental protection curtain wall, also known as the ecological curtain wall or the heat channel curtain wall, is a double-layer glass curtain wall composed of an outer glass curtain wall and an inner glass curtain wall. There is a channel between the two layers of glass curtain walls, which is called the heat channel. The ecological curtain wall has developed with the development of ecological buildings. According to the use function or use requirements of the building, the building that can change the building ecology and color is called an ecological building. According to the use function or use requirements, the building curtain wall that can change the ecology and color is called an ecological curtain wall. The ecological curtain wall is an ecological external enclosure structure. The ecological curtain wall regularly monitors and maintains the use status of the curtain wall structure during use to reduce the failure rate of the curtain wall structure. The existing ecological curtain wall cannot achieve long-distance accurate fixed-point fault detection during use, nor can it intelligently identify and feedback ecological curtain wall fault problems, which increases the workload and danger of ecological curtain wall monitoring and maintenance.

[0003] The Chinese invention patent with announcement number CN111199293B discloses an existing curtain wall safety supervision system, which realizes nationwide unified and effective management of user information, user login, user information feedback, curtain wall information storage, curtain wall information query and curtain wall approval process information by setting up a system management module, a login management module, a notification management module, a filing registration module, a curtain wall data management module and an approval management module; however, the above technical solution cannot realize intelligent safety monitoring of the curtain wall usage status, increasing the safety risk of curtain wall use. Summary of the invention

[0004] 1. Technical issues to be resolved In order to solve the problem that the existing ecological curtain wall cannot achieve long-distance and accurate fixed-point fault detection during use, and cannot intelligently identify and feedback ecological curtain wall fault problems, which increases the workload and danger of ecological curtain wall monitoring and maintenance, the above purposes are achieved: accurately collect real-time image information of the curtain wall surface, intelligently identify the direction information of the curtain wall maintenance guide point, dynamically measure the distance parameters between the maintenance equipment and the curtain wall maintenance guide point, accurately locate the curtain wall maintenance position, collect curtain wall structure status images online, intelligently analyze curtain wall structure fault problems, and accurately feedback curtain wall maintenance fault problems and fault location information.

[0005] (II) Technical solution The present invention is implemented by the following technical scheme: a green environmental protection curtain wall intelligent monitoring and management method based on the Internet of Things, the method comprising the following steps: S1. Collect real-time image data of curtain wall surface; S2, performing identification processing of the guide point position and direction information of the curtain wall surface maintenance operation based on the curtain wall surface real-time image data and the curtain wall surface maintenance operation guide point position and direction image data, and generating curtain wall maintenance operation guide point position and direction identification data; S3, performing a curtain wall maintenance arrival operation based on the curtain wall maintenance operation guide point position direction identification data; S4, collecting the distance data between the maintenance equipment and the curtain wall maintenance operation guide point and combining it with the curtain wall maintenance operation safety distance data to perform curtain wall maintenance operation target position arrival detection processing, and generate curtain wall maintenance operation position detection data; if it has not arrived, continue to perform the curtain wall maintenance arrival operation; S5. When arriving, collect curtain wall structure status image data; S6, performing curtain wall structure fault problem analysis and processing according to the curtain wall structure state image data and the curtain wall structure fault state image data, and generating curtain wall structure fault analysis data; when there is no fault, performing a curtain wall guide point maintenance operation at the next position until the curtain wall maintenance operation is completed; S7. When a fault occurs, the curtain wall structure fault location data is collected and the curtain wall maintenance result feedback data is constructed, and the curtain wall maintenance result push operation is simultaneously executed and the curtain wall guide point maintenance operation at the next position is executed until the curtain wall maintenance operation is completed.

[0006] Preferably, the operation steps of collecting real-time image data of the curtain wall surface are as follows: S11. Use a panoramic camera mounted on a drone to shoot online the image information of the location of the curtain wall maintenance operation guide points formed by the maintenance personnel using lighting equipment to illuminate the curtain wall surface to be maintained, and generate real-time image data of the curtain wall surface , the lighting equipment includes any one of a lighting lamp and a laser lamp.

[0007] The present invention uses a panoramic camera mounted on an unmanned aerial vehicle to dynamically and efficiently obtain real-time image information of the curtain wall surface, thereby providing real data support for dynamic long-distance point-to-point intelligent positioning of the curtain wall maintenance and monitoring position.

[0008] Preferably, the steps of performing identification processing of the guide point position and direction information of the curtain wall surface maintenance operation based on the curtain wall surface real-time image data and the curtain wall surface maintenance operation guide point position and direction image data, and generating curtain wall maintenance operation guide point position and direction identification data are as follows: S21. Establishing a collection of image data of the position and direction of the curtain wall surface maintenance work guide points , ;in Indicates The image data of the position and direction of the curtain wall surface maintenance work guide points, Indicates the maximum number of position and direction types of curtain wall surface maintenance work guide points; the position and direction types of curtain wall surface maintenance work guide points include front, left front, right front, front lower, left front lower, right front lower, front upper, left front upper and right front upper; the curtain wall surface maintenance work guide point position and direction image data indicates standard image information corresponding to different types of curtain wall maintenance work guide points formed by maintenance personnel using lighting equipment to illuminate the curtain wall surface; S22, using SIFT algorithm to transform the curtain wall surface real-time image data A collection of image data on the position and direction of the curtain wall surface maintenance work guide points The image data of the position and direction of the guide points of the curtain wall surface maintenance work Perform image feature matching to search for real-time image data of the curtain wall surface Matching the position and direction image data of the curtain wall surface maintenance work guide point Corresponding curtain wall surface maintenance work guide point location direction text information, and generate curtain wall maintenance work guide point location direction identification data .

[0009] The present invention performs intelligent analysis of the position and direction information of the curtain wall surface maintenance operation guide point by standardly setting the position and direction image parameters of the curtain wall surface maintenance operation guide point and combining the SIFT algorithm with the real-time image parameters of the curtain wall surface, so as to achieve the effect of long-distance adaptive recognition and positioning of the curtain wall maintenance position.

[0010] Preferably, the operation steps of performing the curtain wall maintenance arrival operation based on the curtain wall maintenance operation guide point position direction identification data are as follows: S31, the curtain wall monitoring management platform identifies the location and direction of the curtain wall maintenance operation guide point data The corresponding position direction text information controls the UAV to fly from the current position to the curtain wall maintenance operation guide point position to perform the curtain wall maintenance arrival operation.

[0011] The present invention controls the UAV to autonomously and reliably perform curtain wall maintenance arrival operations based on the position and direction identification information of the curtain wall maintenance operation guide point through the curtain wall monitoring management platform, thereby achieving the effect of long-distance random control of the curtain wall maintenance position based on image analysis.

[0012] Preferably, the data of the distance between the maintenance equipment and the curtain wall maintenance operation guide point is collected and combined with the curtain wall maintenance operation safety distance data to perform curtain wall maintenance operation target position arrival detection processing to generate curtain wall maintenance operation position detection data; when the target position is not reached, the operation steps of continuing to perform the curtain wall maintenance arrival operation are as follows: S41. During the curtain wall maintenance arrival operation, the laser rangefinder mounted on the drone is used to collect the straight-line distance from the current position of the drone to the position of the curtain wall maintenance operation guide point online, and generate the distance data between the maintenance equipment and the curtain wall maintenance operation guide point ,in The unit is meter; S42. Establish safe spacing data for curtain wall maintenance operations The curtain wall maintenance operation safety distance data represents the minimum distance value between the UAV and the curtain wall maintenance operation guide point in a safe state, wherein The unit is meter; S43, the distance data between the maintenance equipment and the curtain wall maintenance operation guide point Safety distance data for curtain wall maintenance work Perform spacing value comparison and generate curtain wall maintenance operation position detection data based on the spacing value comparison results ; when > , it means that the UAV has not reached the curtain wall maintenance operation guidance point, and the curtain wall maintenance operation position detection data is output. If it has not arrived, continue to perform the curtain wall maintenance arrival operation; when = When the UAV reaches the guidance point of the curtain wall maintenance operation, the curtain wall maintenance operation position detection data is output. To arrive.

[0013] The present invention uses a laser rangefinder equipped on an unmanned aerial vehicle to collect the distance information between the maintenance equipment and the curtain wall maintenance operation guide point in real time, and combines the curtain wall maintenance operation safety distance parameters with numerical analysis to dynamically monitor the arrival result of the curtain wall maintenance operation target position, thereby achieving the effect of long-distance point-to-point precise positioning of the curtain wall maintenance position.

[0014] Preferably, when arriving, the operation steps of collecting curtain wall structure state image data are as follows: S51, when the curtain wall maintenance operation position detection data When the curtain wall maintenance operation guide point is reached, the curtain wall entity structure status image information is captured online by using a panoramic camera carried by a drone, and a curtain wall structure status image data set is generated. , ;in Indicates the collected Curtain wall structure status image data, Indicates the maximum number of curtain wall structure status images collected.

[0015] The present invention uses a panoramic camera mounted on an unmanned aerial vehicle to accurately collect image information of the curtain wall structure status, thereby achieving the effect of providing reliable data support for intelligent analysis of curtain wall structure failure problems.

[0016] Preferably, curtain wall structure fault problem analysis and processing are performed based on the curtain wall structure state image data and the curtain wall structure fault state image data to generate curtain wall structure fault analysis data; when there is no fault, the operation steps of performing the curtain wall guide point maintenance operation at the next position until the curtain wall maintenance operation is completed are as follows: S61. Establishing curtain wall structure fault state image data set , ;in Indicates Curtain wall structure status image data corresponding to the curtain wall structure fault type, Indicates the maximum value of the number of curtain wall structure fault types; the curtain wall structure fault types include curtain wall panel cracking, curtain wall panel corner falling, curtain wall panel efflorescence, sealant cracking, sealant shedding, curtain wall frame corrosion and curtain wall frame connector loosening; the curtain wall structure fault state image data indicates standard curtain wall structure fault state image information set for different curtain wall structure fault types; S62, collecting the curtain wall structure state image data The curtain wall structure status image data described in The curtain wall structure fault state image data set is ordered according to the curtain wall structure state image number. The image data of the curtain wall structure fault state described in Perform image feature matching and generate curtain wall structure fault analysis data based on the image feature matching results , execute and generate the curtain wall structure failure analysis data The specific steps are as follows: S621, initializing algorithm parameters, updating the maximum number of iterations T, and searching for sooty tern population N for curtain wall structure failures; S622, calculating the curtain wall structure fault search black tern fitness value, that is, in the curtain wall structure fault state image data set Calculate the curtain wall structure state image data in the search space Image data of the curtain wall structure failure status The fitness value of S623, curtain wall structure fault search sooty terns perform migration behavior, that is, in the curtain wall structure fault state image data set Searching for the image data of the curtain wall structure state in the search space Matching the curtain wall structure fault state image data ,Migration behaviors include conflict avoidance, aggregation, and renewal; S6231, conflict avoidance: in the curtain wall structure fault state image data collection In the search space, the position where the curtain wall structure fault search black tern does not collide with other curtain wall structure fault search black terns is updated. The position update formula is as follows: ,in Indicates that the curtain wall structure failure search Sooty Terns After the first iteration, the curtain wall structure fault state image data set New positions in the search space, Indicates that the curtain wall structure failure search Sooty Terns Before the iteration, the curtain wall structure fault state image data set The current position in the search space, It represents the variable coefficient for avoiding collision. The calculation formula of the variable coefficient is as follows: ,in It is used to adjust of control variables; S6232. Aggregation: Aggregation refers to the collection of image data of the curtain wall structure fault state in which the curtain wall structure fault state is searched for the sooty tern. In the search space, the optimal position of the adjacent curtain wall structure fault search tern is approached under the premise of avoiding conflicts, that is, the curtain wall structure fault search tern is located in the curtain wall structure fault state image data set. Searching for the image data of the curtain wall structure state in the search space The best matching image data of the curtain wall structure fault state The optimal position calculation formula is as follows: ,in Represents a collection of image data of curtain wall structure failures and search for sooty tern individuals in the curtain wall structure failure state Searching for the image data of the curtain wall structure state in the search space Matching the curtain wall structure fault state image data Different current locations To the optimal solution position Move variables, Represents a collection of image data of curtain wall structure failures and search for sooty tern individuals in the curtain wall structure failure state Searching for the image data of the curtain wall structure state in the search space The best matching image data of the curtain wall structure fault state location, represents a random variable; S6233, Update: Update refers to the image data set of the curtain wall structure fault state. The search space is oriented to the image data of the curtain wall structure state Matching the curtain wall structure fault state image data The optimal solution position update trajectory , that is, the calculation formula of its update trajectory is as follows: , Indicates a set of image data of the fault state of the curtain wall structure Searching for the image data of the curtain wall structure state in the search space Matching the curtain wall structure fault state image data trajectories; S624, the curtain wall structure fault search black tern performs an attack behavior, the attack behavior refers to the curtain wall structure fault search black tern passing through the curtain wall structure fault state image data set in the migration process In the search space, the flight height is adjusted or the speed and attack angle are adjusted to attack the prey by hovering in the air, that is, in the curtain wall structure fault state image data set Searching for the curtain wall structure state image data in the search space Matching the curtain wall structure fault state image data , the calculation formula for hovering behavior in the air is as follows: , , ,in Represents a collection of image data of curtain wall structure failure state in which the sooty tern is searched The horizontal coordinate of the position in the search space, Represents a collection of image data of curtain wall structure failure state in which the sooty tern is searched The ordinate of the position in the search space; Represents a collection of image data of curtain wall structure failure state in which the sooty tern is searched The vertical coordinate of the position in the search space; represents the radius of each spiral, represents the angle variable between [0,2π], and Represents angle variables The sine and cosine of ; S625: the curtain wall structure fault search black tern updates the position, that is, the curtain wall structure fault search black tern updates the position of the curtain wall structure fault state image data set. The position in the search space is updated, and the position update formula is as follows: ,in Indicates that the curtain wall structure failure search Sooty Terns After the first iteration, the curtain wall structure fault state image data set Update the position in the search space; S626, calculating the fitness value, that is, in the curtain wall structure fault state image data set Calculate the curtain wall structure state image data in the search space Image data of the curtain wall structure failure status The fitness value of the curtain wall structure fault state image data set is searched out globally The search space is related to the curtain wall structure state image data The best matching image data of the curtain wall structure fault state The fitness value of S627: When the maximum number of iterations is met, the curtain wall structure state image data is used to determine the number of iterations. Image data of the curtain wall structure failure status The image feature matching results are used to construct curtain wall structure fault analysis data ; when and If the image features are not matched successfully, it means that there is no fault in the curtain wall structure at the current curtain wall maintenance operation guide point, and the curtain wall structure fault analysis data is output as no fault, and the curtain wall guide point maintenance operation at the next position is performed until the curtain wall maintenance operation is completed; when and The image feature matching is successful, indicating that the curtain wall structure at the current curtain wall maintenance operation guide point has If the curtain wall structure fault type is selected, the output curtain wall structure fault analysis data is faulty. Text information of curtain wall structure failure type.

[0017] The present invention accurately evaluates curtain wall structure failure problems by scientifically presetting curtain wall structure failure status image information and combining the artificial intelligence bionic sooty tern optimization algorithm with curtain wall structure status image information, thereby achieving the effect of dynamically and scientifically identifying curtain wall failure problems.

[0018] Preferably, when a fault occurs, the operation steps of collecting curtain wall structure fault location data and constructing curtain wall maintenance result feedback data, synchronously executing the curtain wall maintenance result push operation and executing the curtain wall guide point maintenance operation at the next position until the curtain wall maintenance operation is completed are as follows: S71, when the curtain wall structure fault analysis data When there is a fault, the position sensor carried by the drone collects the spatial coordinates of the curtain wall maintenance operation guide point online and generates the curtain wall structure fault location data. , the curtain wall structure fault location data includes the longitude, latitude and altitude of the curtain wall structure fault location; S72, collecting the curtain wall structure state image data , the curtain wall structure failure analysis data and the curtain wall structure failure location data Combine data identifiers to construct curtain wall maintenance result feedback data ,in ; S73, feeding back the curtain wall maintenance result data The information is pushed to the curtain wall monitoring and management platform through the Internet of Things communication network, and the curtain wall maintenance result push and display operation is executed in conjunction with the display screen. When the curtain wall maintenance result push and display operation is completed, the curtain wall guide point maintenance operation at the next location is executed until the curtain wall maintenance operation is completed.

[0019] The present invention uses a position sensor carried by an unmanned aerial vehicle to autonomously and accurately collect curtain wall structural fault location information, and scientifically constructs curtain wall maintenance result feedback information based on the structural status image of the curtain wall, structural fault analysis information and structural fault location information, and combines the curtain wall monitoring management platform and display screen to autonomously and efficiently execute the curtain wall maintenance result push operation, thereby achieving the effect of accurate and visual feedback of curtain wall maintenance fault problems and fault location information.

[0020] A green environmental protection curtain wall intelligent monitoring and management system based on the Internet of Things, used to implement the green environmental protection curtain wall intelligent monitoring and management method based on the Internet of Things, the system includes a curtain wall maintenance position positioning module, a curtain wall maintenance problem identification module, and a curtain wall maintenance result display module; The curtain wall maintenance position positioning module includes a curtain wall surface real-time image acquisition unit, a curtain wall surface maintenance operation guide point position direction image storage unit, a curtain wall maintenance guide point direction information identification unit, a curtain wall maintenance arrival operation execution unit, a maintenance equipment and curtain wall maintenance guide point distance acquisition unit, a curtain wall maintenance operation safety distance storage unit, and a curtain wall maintenance operation safety position detection unit; The curtain wall surface real-time image acquisition unit collects real-time image data of the curtain wall surface through a panoramic camera carried by an unmanned aerial vehicle; the curtain wall surface maintenance operation guide point position direction image storage unit is used to store the curtain wall surface maintenance operation guide point position direction image data; the curtain wall maintenance guide point direction information recognition unit performs curtain wall surface maintenance operation guide point position direction information recognition processing based on the curtain wall surface real-time image data and the curtain wall surface maintenance operation guide point position direction image data, and generates curtain wall maintenance operation guide point position direction recognition data; the curtain wall maintenance arrival operation execution unit, the curtain wall monitoring management platform is based on The curtain wall maintenance operation guide point position direction identification data is used to control the drone to perform the curtain wall maintenance arrival operation; the maintenance equipment and curtain wall maintenance guide point distance collection unit collects the distance data between the maintenance equipment and the curtain wall maintenance operation guide point through the laser rangefinder carried by the drone; the curtain wall maintenance operation safety distance storage unit is used to store the curtain wall maintenance operation safety distance data; the curtain wall maintenance operation safety position detection unit performs curtain wall maintenance operation target position arrival detection processing based on the distance data between the maintenance equipment and the curtain wall maintenance operation guide point combined with the curtain wall maintenance operation safety distance data, and generates curtain wall maintenance operation position detection data; The curtain wall maintenance problem identification module includes a curtain wall structure state image acquisition unit, a curtain wall structure fault state image storage unit, and a curtain wall structure fault analysis unit; The curtain wall structure state image acquisition unit collects curtain wall structure state image data through a panoramic camera carried by an unmanned aerial vehicle; the curtain wall structure fault state image storage unit is used to store curtain wall structure fault state image data; the curtain wall structure fault analysis unit performs curtain wall structure fault problem analysis processing based on the curtain wall structure state image data and the curtain wall structure fault state image data to generate curtain wall structure fault analysis data; The curtain wall maintenance result display module includes a curtain wall structure fault position coordinate acquisition unit, a curtain wall maintenance result feedback information construction unit, and a curtain wall maintenance result push update unit; The curtain wall structure fault position coordinate acquisition unit acquires curtain wall structure fault position data through a position sensor carried by an unmanned aerial vehicle; the curtain wall maintenance result feedback information construction unit constructs curtain wall maintenance result feedback data based on the structural status image of the curtain wall, structural fault analysis information and structural fault position information; the curtain wall maintenance result push update unit performs a curtain wall maintenance result push operation based on the curtain wall maintenance result feedback data in combination with the curtain wall monitoring management platform and the display screen.

[0021] (III) Beneficial effects The present invention provides a green environmental protection curtain wall intelligent monitoring management system and method based on the Internet of Things. It has the following beneficial effects: 1. Use the panoramic camera on the drone to dynamically and efficiently obtain real-time image information of the curtain wall surface, and provide real data support for dynamic long-distance point-to-point intelligent positioning of the curtain wall maintenance monitoring position; standard setting of the curtain wall surface maintenance operation guide point position direction image parameters combined with the intelligent search algorithm and the curtain wall surface real-time image parameters to perform intelligent analysis of the curtain wall surface maintenance operation guide point position direction information, to achieve long-distance adaptive identification and positioning of the curtain wall maintenance position, and improve the safety and convenience of curtain wall maintenance operations; the curtain wall monitoring and management platform controls the drone to autonomously and reliably perform curtain wall maintenance arrival operations based on the curtain wall maintenance operation guide point position direction identification information, and realizes long-distance random control of the curtain wall maintenance position based on image analysis; the drone is equipped with a laser rangefinder to collect the distance information between the maintenance equipment and the curtain wall maintenance operation guide point in real time, and the curtain wall maintenance operation safety distance parameters are combined with numerical analysis to dynamically monitor the arrival results of the curtain wall maintenance operation target position, to achieve long-distance point-to-point precise positioning of the curtain wall maintenance position, and improve the efficiency and quality of curtain wall maintenance.

[0022] 2. Accurately collect curtain wall structure status image information through drones equipped with panoramic cameras to provide reliable data support for intelligent analysis of curtain wall structure failure problems; scientifically preset curtain wall structure failure status image information combined with intelligent recognition algorithm and curtain wall structure status image information to accurately evaluate curtain wall structure failure problems, realize dynamic and scientific identification of curtain wall failure problems, and improve the reliability and applicability of curtain wall maintenance.

[0023] 3. By using drones equipped with position sensors to autonomously and accurately collect curtain wall structural fault location information, and scientifically constructing curtain wall maintenance result feedback information based on the curtain wall's structural status image, structural fault analysis information and structural fault location information, and combining the curtain wall monitoring management platform and display screen to autonomously and efficiently execute curtain wall maintenance result push operations, accurate visual feedback of curtain wall maintenance fault problems and fault location information can be achieved, thereby improving the effectiveness of curtain wall monitoring and management. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 A schematic diagram of a module of a green environmental protection curtain wall intelligent monitoring and management system based on the Internet of Things provided by the present invention; Figure 2 The present invention provides a flow chart of a green and environmentally friendly curtain wall intelligent monitoring and management method based on the Internet of Things. DETAILED DESCRIPTION

[0025] 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.

[0026] The embodiments of the green environmental protection curtain wall intelligent monitoring management system and method based on the Internet of Things are as follows: Embodiment 1: See also Figure 1 - Figure 2 , a green environmental protection curtain wall intelligent monitoring and management method based on the Internet of Things, the method comprises the following steps: S1. Collect real-time image data of curtain wall surface; S2, performing identification processing of the guide point position and direction information of the curtain wall surface maintenance operation based on the real-time image data of the curtain wall surface and the image data of the guide point position and direction of the curtain wall surface maintenance operation, and generating curtain wall maintenance operation guide point position and direction identification data; S3, executing the curtain wall maintenance arrival operation based on the curtain wall maintenance operation guide point position direction recognition data; S4, collecting the distance data between the maintenance equipment and the curtain wall maintenance operation guide point and combining it with the curtain wall maintenance operation safety distance data to perform curtain wall maintenance operation target position arrival detection processing, and generate curtain wall maintenance operation position detection data; if it has not arrived, continue to perform the curtain wall maintenance arrival operation; S5. When arriving, collect curtain wall structure status image data; S6, analyzing and processing the curtain wall structure fault problem according to the curtain wall structure state image data and the curtain wall structure fault state image data, and generating curtain wall structure fault analysis data; when there is no fault, performing the maintenance operation of the curtain wall guide point at the next position until the curtain wall maintenance operation is completed; S7. When a fault occurs, the curtain wall structure fault location data is collected and the curtain wall maintenance result feedback data is constructed, and the curtain wall maintenance result push operation is simultaneously executed and the curtain wall guide point maintenance operation at the next position is executed until the curtain wall maintenance operation is completed.

[0027] For further information, see Figure 1 - Figure 2 , the steps for collecting real-time image data of the curtain wall surface are as follows: S11. Use a panoramic camera mounted on a drone to shoot online the image information of the location of the curtain wall maintenance operation guide points formed by the maintenance personnel using lighting equipment to illuminate the curtain wall surface to be maintained, and generate real-time image data of the curtain wall surface , the lighting equipment includes any one of a lighting lamp and a laser lamp.

[0028] The steps of performing identification processing of the guide point position and direction information of the curtain wall surface maintenance operation based on the real-time image data of the curtain wall surface and the image data of the guide point position and direction of the curtain wall surface maintenance operation, and generating the identification data of the guide point position and direction of the curtain wall maintenance operation are as follows: S21. Establishing a collection of image data of the position and direction of the curtain wall surface maintenance work guide points , ;in Indicates The image data of the position and direction of the curtain wall surface maintenance work guide points, Indicates the maximum number of position and direction types of curtain wall surface maintenance work guide points; the position and direction types of curtain wall surface maintenance work guide points include front, left front, right front, front lower, left front lower, right front lower, front upper, left front upper and right front upper; the curtain wall surface maintenance work guide point position and direction image data indicates the standard image information corresponding to different types of curtain wall maintenance work guide points formed by maintenance personnel using lighting equipment to illuminate the curtain wall surface; S22, using SIFT algorithm to transform the real-time image data of the curtain wall surface Image data collection of the location and direction of the guidance points for curtain wall surface maintenance work Image data of the location and direction of the guide points for maintenance work on the curtain wall surface Perform image feature matching to search for real-time image data on the curtain wall surface Matching curtain wall surface maintenance work guide point position direction image data Corresponding curtain wall surface maintenance work guide point location direction text information, and generate curtain wall maintenance work guide point location direction identification data .

[0029] The steps for executing the curtain wall maintenance arrival operation based on the curtain wall maintenance operation guide point position direction recognition data are as follows: S31, curtain wall monitoring management platform based on curtain wall maintenance work guidance point location direction identification data The corresponding position direction text information controls the UAV to fly from the current position to the curtain wall maintenance operation guide point position to perform the curtain wall maintenance arrival operation.

[0030] Collect the distance data between the maintenance equipment and the curtain wall maintenance operation guide point and combine it with the curtain wall maintenance operation safety distance data to perform curtain wall maintenance operation target position arrival detection processing to generate curtain wall maintenance operation position detection data; if it has not arrived, continue to perform the curtain wall maintenance arrival operation as follows: S41. During the curtain wall maintenance arrival operation, the laser rangefinder mounted on the drone is used to collect the straight-line distance from the current position of the drone to the position of the curtain wall maintenance operation guide point online, and generate the distance data between the maintenance equipment and the curtain wall maintenance operation guide point ,in The unit is meter; S42. Establish safe spacing data for curtain wall maintenance operations , the curtain wall maintenance operation safety distance data represents the minimum distance value between the UAV and the curtain wall maintenance operation guidance point in a safe state, where The unit is meter; S43, the distance data between the maintenance equipment and the curtain wall maintenance operation guide point Safety distance data for curtain wall maintenance work Perform spacing value comparison and generate curtain wall maintenance operation position detection data based on the spacing value comparison results ; when > , it means that the UAV has not reached the curtain wall maintenance operation guidance point, and the curtain wall maintenance operation position detection data is output. If it has not arrived, continue to perform the curtain wall maintenance arrival operation; when = When the UAV reaches the guidance point of the curtain wall maintenance operation, the curtain wall maintenance operation position detection data is output. To arrive.

[0031] Through the curtain wall surface real-time image acquisition unit, a drone equipped with a panoramic camera is used to dynamically and efficiently obtain real-time image information of the curtain wall surface, providing real data support for the dynamic long-distance point-to-point intelligent positioning of the curtain wall maintenance monitoring position; the curtain wall surface maintenance operation guide point position direction image storage unit and the curtain wall maintenance guide point direction information recognition unit cooperate with each other, standard setting of curtain wall surface maintenance operation guide point position direction image parameters combined with intelligent search algorithm and curtain wall surface real-time image parameters to perform curtain wall surface maintenance operation guide point position direction information intelligent analysis, realize long-distance adaptive recognition and positioning of curtain wall maintenance position, and improve the safety and convenience of curtain wall maintenance operations; curtain wall Maintenance arrival operation execution unit, the curtain wall monitoring and management platform controls the UAV to autonomously and reliably execute the curtain wall maintenance arrival operation based on the curtain wall maintenance operation guide point position direction identification information, and realizes long-distance random control of the curtain wall maintenance position based on image analysis; the maintenance equipment and curtain wall maintenance guide point distance collection unit and the curtain wall maintenance operation safety position detection unit cooperate with each other, and the UAV is equipped with a laser rangefinder to collect the maintenance equipment and the curtain wall maintenance operation guide point distance information in real time, and the curtain wall maintenance operation safety distance parameters are combined with numerical analysis to dynamically monitor the curtain wall maintenance operation target position arrival results, so as to realize long-distance point-to-point precise positioning of the curtain wall maintenance position and improve the efficiency and quality of curtain wall maintenance.

[0032] For further information, see Figure 1 - Figure 2 , when arriving, the operation steps for collecting curtain wall structure status image data are as follows: S51, when the curtain wall maintenance work position detection data When the curtain wall maintenance operation guide point is reached, the curtain wall entity structure status image information is captured online by using a panoramic camera carried by a drone, and a curtain wall structure status image data set is generated. , ;in Indicates the collected Curtain wall structure status image data, Indicates the maximum number of curtain wall structure status images collected.

[0033] The curtain wall structure fault problem is analyzed and processed according to the curtain wall structure state image data and the curtain wall structure fault state image data to generate curtain wall structure fault analysis data; when there is no fault, the curtain wall guide point maintenance operation at the next position is performed until the curtain wall maintenance operation is completed. The operation steps are as follows: S61. Establishing curtain wall structure fault state image data set , ;in Indicates Curtain wall structure status image data corresponding to the curtain wall structure fault type, Indicates the maximum number of curtain wall structure fault types; curtain wall structure fault types include curtain wall panel cracking, curtain wall panel corner falling, curtain wall panel alkali blooming, sealant cracking, sealant shedding, curtain wall frame corrosion and curtain wall frame connector loosening; curtain wall structure fault state image data indicates standard curtain wall structure fault state image information set for different curtain wall structure fault types; S62, collecting curtain wall structure status image data Curtain wall structure status image data The image data set of curtain wall structure fault status is ordered according to the curtain wall structure status image number. Image data of the fault status of the curtain wall structure Perform image feature matching and generate curtain wall structure fault analysis data based on the image feature matching results , execute to generate curtain wall structure failure analysis data The specific steps are as follows: S621, initializing algorithm parameters, updating the maximum number of iterations T, and searching for sooty tern population N for curtain wall structure failures; S622, calculating the curtain wall structure fault search black tern fitness value, that is, in the curtain wall structure fault state image data set Calculation of curtain wall structure state image data in search space Image data of curtain wall structure failure status The fitness value of S623, curtain wall structure fault search Sooty Terns migration behavior, that is, in the curtain wall structure fault state image data set Search the image data related to the curtain wall structure status in the search space Matching curtain wall structure fault state image data ,Migration behaviors include conflict avoidance, aggregation, and renewal; S6231, Conflict Avoidance: Image Data Collection in Curtain Wall Structure Fault State In the search space, the position where the curtain wall structure fault search black tern does not collide with other curtain wall structure fault search black terns is updated. The position update formula is as follows: ,in Indicates that the curtain wall structure failure search Sooty Terns After iterations, the image data set of the curtain wall structure failure state New positions in the search space, Indicates that the curtain wall structure failure search Sooty Terns The image data set of the curtain wall structure failure state before the iteration The current position in the search space, It represents the variable coefficient for avoiding collision. The calculation formula of the variable coefficient is as follows: ,in It is used to adjust of control variables; S6232, Aggregation: Aggregation refers to the collection of image data of curtain wall structure fault search for black terns in the curtain wall structure fault state. In the search space, the optimal position of the adjacent curtain wall structure fault search black tern is approached under the premise of avoiding conflicts, that is, the curtain wall structure fault search black tern is in the curtain wall structure fault state image data set Search the image data related to the curtain wall structure status in the search space The most matching curtain wall structure fault state image data The optimal position calculation formula is as follows: ,in Represents the image data set of curtain wall structure fault search Sooty Terns individuals in the curtain wall structure fault state Search the image data related to the curtain wall structure status in the search space Matching curtain wall structure fault state image data Different current locations To the optimal solution position Move variables, Represents the image data set of curtain wall structure fault search Sooty Terns individuals in the curtain wall structure fault state Search the image data related to the curtain wall structure status in the search space The most matching curtain wall structure fault state image data location, represents a random variable; S6233, Update: Update refers to the image data set of the curtain wall structure failure state Orientation and curtain wall structure status image data in search space Matching curtain wall structure fault state image data The optimal solution position update trajectory , that is, the calculation formula of its update trajectory is as follows: , Represents a collection of image data in the fault state of the curtain wall structure Search the image data related to the curtain wall structure status in the search space Matching curtain wall structure fault state image data trajectories; S624, the curtain wall structure fault search black tern performs an attack behavior, the attack behavior refers to the curtain wall structure fault search black tern through the curtain wall structure fault state image data set during the migration process In the search space, the flight altitude is adjusted or the speed and attack angle are adjusted to attack the prey by hovering in the air, that is, in the image data set of the curtain wall structure failure state Search space and curtain wall structure state image data Matching curtain wall structure fault state image data , the calculation formula for hovering behavior in the air is as follows: , , ,in Represents the image data set of curtain wall structure fault search Sooty Terns in the curtain wall structure fault state The horizontal coordinate of the position in the search space, Represents the image data set of curtain wall structure fault search Sooty Terns in the curtain wall structure fault state The ordinate of the position in the search space; Represents the image data set of curtain wall structure fault search Sooty Terns in the curtain wall structure fault state The vertical coordinate of the position in the search space; represents the radius of each spiral, represents the angle variable between [0,2π], and Represents angle variables The sine and cosine of ; S625, the curtain wall structure fault search black tern updates the position, that is, the curtain wall structure fault search black tern is in the curtain wall structure fault state image data set The position in the search space is updated, and the position update formula is as follows: ,in Indicates that the curtain wall structure failure search Sooty Terns After iterations, the image data set of the curtain wall structure failure state Update the position in the search space; S626, calculate the fitness value, that is, in the curtain wall structure fault state image data set Calculation of curtain wall structure state image data in search space Image data of curtain wall structure failure status The fitness value of the global curtain wall structure fault state image data set is searched out Search space and curtain wall structure state image data The most matching curtain wall structure fault state image data The fitness value of S627, when the maximum number of iterations is met, based on the curtain wall structure state image data Image data of curtain wall structure failure status The image feature matching results are used to construct curtain wall structure fault analysis data ; when and If the image features are not matched successfully, it means that there is no fault in the curtain wall structure at the current curtain wall maintenance operation guide point, and the curtain wall structure fault analysis data is output as no fault, and the curtain wall guide point maintenance operation at the next position is performed until the curtain wall maintenance operation is completed; when and The image feature matching is successful, indicating that the curtain wall structure at the current curtain wall maintenance operation guide point has If the curtain wall structure fault type is selected, the output curtain wall structure fault analysis data is faulty. Text information of curtain wall structure failure type.

[0034] Through the curtain wall structure status image acquisition unit, a drone equipped with a panoramic camera is used to accurately collect curtain wall structure status image information, providing reliable data support for intelligent analysis of curtain wall structure failure problems; the curtain wall structure failure status image storage unit and the curtain wall structure failure analysis unit cooperate with each other, scientifically preset curtain wall structure failure status image information combined with intelligent recognition algorithm and curtain wall structure status image information to accurately evaluate curtain wall structure failure problems, realize dynamic and scientific identification of curtain wall failure problems, and improve the reliability and applicability of curtain wall maintenance.

[0035] For further information, see Figure 1 - Figure 2 When there is a fault, the curtain wall structure fault location data is collected and the curtain wall maintenance result feedback data is constructed. The curtain wall maintenance result push operation is performed synchronously and the curtain wall guide point maintenance operation at the next location is performed until the curtain wall maintenance operation is completed. The operation steps are as follows: S71, when the curtain wall structure failure analysis data When there is a fault, the position sensor carried by the drone collects the spatial coordinates of the curtain wall maintenance operation guide point online and generates the curtain wall structure fault location data. , the curtain wall structure fault location data includes the longitude, latitude and altitude of the curtain wall structure fault location; S72, collecting curtain wall structure status image data , curtain wall structure failure analysis data and curtain wall structure fault location data Combine data identifiers to construct curtain wall maintenance result feedback data ,in ; S73, Feedback the curtain wall maintenance results The information is pushed to the curtain wall monitoring and management platform through the Internet of Things communication network, and the curtain wall maintenance result push and display operation is executed in conjunction with the display screen. When the curtain wall maintenance result push and display operation is completed, the curtain wall guide point maintenance operation at the next location is executed until the curtain wall maintenance operation is completed.

[0036] Through the cooperation of the curtain wall structure fault location coordinate acquisition unit, the curtain wall maintenance result feedback information construction unit and the curtain wall maintenance result push update unit, the curtain wall structure fault location information is autonomously and accurately collected by the position sensor carried by the drone, and the curtain wall maintenance result feedback information is scientifically constructed based on the structural status image of the curtain wall, the structural fault analysis information and the structural fault location information. In addition, the curtain wall maintenance result push operation is autonomously and efficiently executed in combination with the curtain wall monitoring management platform and the display screen, so as to realize accurate and visual feedback of curtain wall maintenance fault problems and fault location information, and improve the effect of curtain wall monitoring and management.

[0037] Embodiment 2: See also Figure 1 - Figure 2 , a green environmental protection curtain wall intelligent monitoring and management system based on the Internet of Things, used to implement a green environmental protection curtain wall intelligent monitoring and management method based on the Internet of Things, the system includes a curtain wall maintenance position positioning module, a curtain wall maintenance problem identification module, and a curtain wall maintenance result display module; The curtain wall maintenance position positioning module includes a curtain wall surface real-time image acquisition unit, a curtain wall surface maintenance operation guide point position direction image storage unit, a curtain wall maintenance guide point direction information identification unit, a curtain wall maintenance arrival operation execution unit, a maintenance equipment and curtain wall maintenance guide point distance acquisition unit, a curtain wall maintenance operation safety distance storage unit, and a curtain wall maintenance operation safety position detection unit; A curtain wall surface real-time image acquisition unit, which uses a panoramic camera mounted on a drone to collect real-time image data of the curtain wall surface; a curtain wall surface maintenance operation guide point position direction image storage unit, which is used to store the curtain wall surface maintenance operation guide point position direction image data; a curtain wall maintenance guide point direction information recognition unit, which performs curtain wall surface maintenance operation guide point position direction information recognition processing based on the curtain wall surface real-time image data and the curtain wall surface maintenance operation guide point position direction image data, and generates curtain wall maintenance operation guide point position direction recognition data; a curtain wall maintenance arrival operation execution unit, in which the curtain wall monitoring and management platform controls the drone to execute the curtain wall maintenance arrival operation based on the curtain wall maintenance operation guide point position direction recognition data; a maintenance equipment and curtain wall maintenance guide point distance acquisition unit, which uses a laser rangefinder mounted on a drone to collect the maintenance equipment and curtain wall maintenance operation guide point distance data; a curtain wall maintenance operation safety distance storage unit, which is used to store curtain wall maintenance operation safety distance data; a curtain wall maintenance operation safety position detection unit, which performs curtain wall maintenance operation target position arrival detection processing based on the maintenance equipment and curtain wall maintenance operation guide point distance data combined with the curtain wall maintenance operation safety distance data, and generates curtain wall maintenance operation position detection data; The curtain wall maintenance problem identification module includes a curtain wall structure state image acquisition unit, a curtain wall structure fault state image storage unit, and a curtain wall structure fault analysis unit; The curtain wall structure state image acquisition unit collects curtain wall structure state image data through a panoramic camera carried by a drone; the curtain wall structure fault state image storage unit is used to store curtain wall structure fault state image data; the curtain wall structure fault analysis unit performs curtain wall structure fault problem analysis and processing based on the curtain wall structure state image data and the curtain wall structure fault state image data to generate curtain wall structure fault analysis data; The curtain wall maintenance result display module includes a curtain wall structure fault position coordinate acquisition unit, a curtain wall maintenance result feedback information construction unit, and a curtain wall maintenance result push update unit; The curtain wall structure fault location coordinate acquisition unit collects curtain wall structure fault location data through the position sensor carried by the drone; the curtain wall maintenance result feedback information construction unit constructs the curtain wall maintenance result feedback data based on the structural status image of the curtain wall, the structural fault analysis information and the structural fault location information; the curtain wall maintenance result push update unit executes the curtain wall maintenance result push operation based on the curtain wall maintenance result feedback data combined with the curtain wall monitoring management platform and the display screen.

[0038] 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. A green environmental protection curtain wall intelligent monitoring and management method based on the Internet of Things, characterized in that: The method comprises the following steps: S1. Collect real-time image data of curtain wall surface; S2, performing identification processing of the guide point position and direction information of the curtain wall surface maintenance operation based on the curtain wall surface real-time image data and the curtain wall surface maintenance operation guide point position and direction image data, and generating curtain wall maintenance operation guide point position and direction identification data; S3, performing a curtain wall maintenance arrival operation based on the curtain wall maintenance operation guide point position direction identification data; S4, collecting the distance data between the maintenance equipment and the curtain wall maintenance operation guide point and combining it with the curtain wall maintenance operation safety distance data to perform curtain wall maintenance operation target position arrival detection processing, and generate curtain wall maintenance operation position detection data; if it has not arrived, continue to perform the curtain wall maintenance arrival operation; S5. When arriving, collect curtain wall structure status image data; S6, performing curtain wall structure fault problem analysis and processing according to the curtain wall structure state image data and the curtain wall structure fault state image data, and generating curtain wall structure fault analysis data; when there is no fault, performing a curtain wall guide point maintenance operation at the next position until the curtain wall maintenance operation is completed; S7. When a fault occurs, the curtain wall structure fault location data is collected and the curtain wall maintenance result feedback data is constructed, and the curtain wall maintenance result push operation is simultaneously executed and the curtain wall guide point maintenance operation at the next position is executed until the curtain wall maintenance operation is completed.

2. According to the green environmental protection curtain wall intelligent monitoring and management method based on the Internet of Things according to claim 1, it is characterized by: The S1 comprises the following steps: S11. Use a drone equipped with a panoramic camera to shoot online the image information of the location of the curtain wall maintenance operation guide points formed by the maintenance personnel using lighting equipment to illuminate the curtain wall surface to be maintained, and generate real-time image data of the curtain wall surface .

3. According to the green environmental protection curtain wall intelligent monitoring and management method based on the Internet of Things according to claim 2, it is characterized by: The S2 comprises the following steps: S21. Establishing a collection of image data of the position and direction of the curtain wall surface maintenance work guide points , ;in Indicates The image data of the position and direction of the curtain wall surface maintenance work guide points, Indicates the maximum value of the number of position and direction types of the curtain wall surface maintenance work guide points; S22, using SIFT algorithm to With the As stated in Perform image feature matching and search for Matching the Corresponding curtain wall surface maintenance work guide point location direction text information, and generate curtain wall maintenance work guide point location direction identification data .

4. According to claim 3, a green environmental protection curtain wall intelligent monitoring and management method based on the Internet of Things is characterized by: The S3 comprises the following steps: S31, curtain wall monitoring management platform according to the The corresponding position direction text information controls the UAV to fly from the current position to the curtain wall maintenance operation guide point position to perform the curtain wall maintenance arrival operation.

5. According to the green environmental protection curtain wall intelligent monitoring and management method based on the Internet of Things according to claim 4, it is characterized by: The S4 comprises the following steps: S41. During the curtain wall maintenance arrival operation, the laser rangefinder mounted on the drone is used to collect the straight-line distance from the current position of the drone to the position of the curtain wall maintenance operation guide point online, and generate the distance data between the maintenance equipment and the curtain wall maintenance operation guide point ,in The unit is meter; S42. Establish safe spacing data for curtain wall maintenance operations ,in The unit is meter; S43, the With the Perform spacing value comparison and generate curtain wall maintenance operation position detection data based on the spacing value comparison results ; when > When the curtain wall maintenance operation position detection data is output If it has not arrived, continue to perform the curtain wall maintenance arrival operation; when = When the curtain wall maintenance operation position detection data is output To arrive.

6. According to the green environmental protection curtain wall intelligent monitoring and management method based on the Internet of Things according to claim 5, it is characterized by: The S5 comprises the following steps: S51, when the When the curtain wall maintenance operation guide point is reached, the curtain wall entity structure status image information is captured online by using a panoramic camera carried by a drone, and a curtain wall structure status image data set is generated. , ;in Indicates the collected Curtain wall structure status image data, Indicates the maximum number of curtain wall structure status images collected.

7. The green environmental protection curtain wall intelligent monitoring and management method based on the Internet of Things according to claim 6 is characterized by: The S6 comprises the following steps: S61. Establishing curtain wall structure fault state image data set , ;in Indicates Curtain wall structure status image data corresponding to the curtain wall structure fault type, Indicates the maximum number of curtain wall structure failure types; S62, the As stated in The images are numbered in order according to the state of the curtain wall structure. As stated in Perform image feature matching and generate curtain wall structure fault analysis data based on the image feature matching results , execute and generate the curtain wall structure failure analysis data The specific steps are as follows: S621, initializing algorithm parameters, updating the maximum number of iterations T, and searching for sooty tern population N for curtain wall structure failures; S622, calculating the fitness value of the curtain wall structure fault search black tern, in the The search space is calculated With the The fitness value of S623, curtain wall structure fault search Sooty Terns in the Migrate behavior in the search space and search for the Matching the ,Migration behaviors include conflict avoidance, aggregation, and renewal; S6231, conflict avoidance: in the Update the location of the curtain wall structure fault search sooty tern in the search space sooty tern does not collide with other curtain wall structure fault search sooty terns; S6232, Gathering: Gathering refers to the search for black terns in the curtain wall structure failure In the search space, the optimal position of the adjacent curtain wall structure fault search is approached under the premise of avoiding conflicts, and Search the search space for The best match for location; S6233, Update: Update means the update described in The search space is oriented to the Matching the The optimal solution position update trajectory ; S624, the curtain wall structure fault search black terns conduct attack behavior, the attack behavior refers to the curtain wall structure fault search black terns in the migration process Adjust the flight altitude or adjust its own speed and attack angle in the search space to hover in the air. Searching for attacks in the search space is similar to the Matching the prey; S625, the curtain wall structure fault search black tern updates the position, that is, the curtain wall structure fault search black tern is in the The position in the search space is updated; S626, calculate the fitness value, in the The search space is calculated With the The fitness value of The search space is The best match for The fitness value of S627, when the maximum number of iterations is met, according to the With the The image feature matching results are used to construct curtain wall structure fault analysis data ; when and If the image features are not matched successfully, the curtain wall structure fault analysis data is output as no fault exists, and the maintenance operation of the curtain wall guide point at the next position is performed until the curtain wall maintenance operation is completed; when and If the image feature matching is successful, the output curtain wall structure fault analysis data is that there is a fault. Text information of curtain wall structure failure type.

8. The green environmental protection curtain wall intelligent monitoring and management method based on the Internet of Things according to claim 7 is characterized by: The S7 comprises the following steps: S71, when the When there is a fault, the position sensor carried by the drone collects the spatial coordinates of the curtain wall maintenance operation guide point online and generates the curtain wall structure fault location data. ; S72, the , and stated Combine data identifiers to construct curtain wall maintenance result feedback data ; S73, the The information is pushed to the curtain wall monitoring and management platform through the Internet of Things communication network, and the curtain wall maintenance result push and display operation is executed in conjunction with the display screen. When the curtain wall maintenance result push and display operation is completed, the curtain wall guide point maintenance operation at the next location is executed until the curtain wall maintenance operation is completed.

9. A green environmental protection curtain wall intelligent monitoring and management system based on the Internet of Things, used to implement a green environmental protection curtain wall intelligent monitoring and management method based on the Internet of Things as claimed in any one of claims 1 to 8, characterized in that: The system includes a curtain wall maintenance position positioning module, a curtain wall maintenance problem identification module, and a curtain wall maintenance result display module; The curtain wall maintenance position positioning module includes a curtain wall surface real-time image acquisition unit, a curtain wall surface maintenance operation guide point position direction image storage unit, a curtain wall maintenance guide point direction information identification unit, a curtain wall maintenance arrival operation execution unit, a maintenance equipment and curtain wall maintenance guide point distance acquisition unit, a curtain wall maintenance operation safety distance storage unit, and a curtain wall maintenance operation safety position detection unit; The curtain wall surface real-time image acquisition unit collects real-time image data of the curtain wall surface through a panoramic camera carried by an unmanned aerial vehicle; the curtain wall surface maintenance operation guide point position direction image storage unit is used to store the curtain wall surface maintenance operation guide point position direction image data; the curtain wall maintenance guide point direction information recognition unit performs curtain wall surface maintenance operation guide point position direction information recognition processing based on the curtain wall surface real-time image data and the curtain wall surface maintenance operation guide point position direction image data, and generates curtain wall maintenance operation guide point position direction recognition data; the curtain wall maintenance arrival operation execution unit, the curtain wall monitoring management platform is based on The curtain wall maintenance operation guide point position direction identification data is used to control the drone to perform the curtain wall maintenance arrival operation; the maintenance equipment and curtain wall maintenance guide point distance collection unit collects the distance data between the maintenance equipment and the curtain wall maintenance operation guide point through the laser rangefinder carried by the drone; the curtain wall maintenance operation safety distance storage unit is used to store the curtain wall maintenance operation safety distance data; the curtain wall maintenance operation safety position detection unit performs curtain wall maintenance operation target position arrival detection processing based on the distance data between the maintenance equipment and the curtain wall maintenance operation guide point combined with the curtain wall maintenance operation safety distance data, and generates curtain wall maintenance operation position detection data; The curtain wall maintenance problem identification module includes a curtain wall structure state image acquisition unit, a curtain wall structure fault state image storage unit, and a curtain wall structure fault analysis unit; The curtain wall structure state image acquisition unit collects curtain wall structure state image data through a panoramic camera carried by an unmanned aerial vehicle; the curtain wall structure fault state image storage unit is used to store curtain wall structure fault state image data; the curtain wall structure fault analysis unit performs curtain wall structure fault problem analysis processing based on the curtain wall structure state image data and the curtain wall structure fault state image data to generate curtain wall structure fault analysis data; The curtain wall maintenance result display module includes a curtain wall structure fault position coordinate acquisition unit, a curtain wall maintenance result feedback information construction unit, and a curtain wall maintenance result push update unit; The curtain wall structure fault position coordinate acquisition unit collects curtain wall structure fault position data through a position sensor carried by a drone; The curtain wall maintenance result feedback information construction unit constructs curtain wall maintenance result feedback data based on the structural status image, structural fault analysis information and structural fault location information of the curtain wall; the curtain wall maintenance result push update unit performs the curtain wall maintenance result push operation based on the curtain wall maintenance result feedback data in combination with the curtain wall monitoring management platform and the display screen.

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