Curtain wall monitoring management method based on big data, electronic equipment, and storage medium

Abstract

The present application discloses a curtain wall monitoring and management method based on big data, an electronic device, and a storage medium. The method includes: obtaining the equipment information, historical maintenance information, and historical damage information of the curtain wall from a big database, and obtaining the meteorological forecast information in the curtain wall distribution area, performing a first screening process on all curtain walls to obtain a curtain wall reinforcement list; the equipment information includes the equipment number information, location information, equipment attribute information, and manufacturer information of the curtain wall; obtaining the historical extreme weather information of extreme weather after the maintenance cycle; performing a second screening process on all curtain walls to generate an inspection plan list according to the equipment information, historical maintenance information, historical damage information, historical extreme weather information, and inspection specifications; controlling a drone to perform automatic inspection according to the inspection plan list; and updating the historical maintenance information of the curtain wall according to the inspection information returned by the drone. It can realize efficient inspection, maintenance, and management of a large number of curtain walls based on big data.

Description

Technical Field

[0001] The present application relates to the field of curtain wall management technology, and in particular to a curtain wall monitoring and management method based on big data, electronic equipment, and storage medium. Background Art

[0002] For buildings covered with curtain walls, it is necessary to regularly inspect the external curtain wall panels to eliminate safety hazards. For large parks or business districts, there will be more buildings covered with curtain walls. The curtain walls in the entire park or business district are as high as hundreds of thousands of pieces. The workload of special and routine maintenance of curtain walls is large and the duration is long. The cost of investment required for manual management and maintenance is high. As time goes by, more and more curtain walls will need maintenance. It is difficult to trace the previous maintenance status manually. There may be cases of missing inspections or missed inspections, and the efficiency of manual maintenance and management is low. Therefore, how to efficiently inspect, maintain and manage curtain walls is an issue that needs to be solved urgently. Summary of the invention

[0003] The embodiments of the present application provide a curtain wall monitoring and management method based on big data, an electronic device, and a storage medium, which can realize efficient inspection, maintenance, and management of a large number of curtain walls based on big data.

[0004] In a first aspect, an embodiment of the present application provides a curtain wall monitoring and management method based on big data, which is applied to a terminal device of a curtain wall management system, wherein the curtain wall management system further includes a mobile terminal device, a drone, and a big database that are communicatively connected to the terminal device;

[0005] The curtain wall monitoring and management method based on big data includes:

[0006] Acquire the equipment information, historical maintenance information, and historical damage information of the curtain wall from the big database; wherein the equipment information includes: equipment number information, location information, equipment attribute information, and manufacturer information of the curtain wall; the equipment attribute information includes equipment type and equipment size;

[0007] Obtain weather forecast information within the curtain wall distribution area;

[0008] According to the equipment information, the historical maintenance information, the historical damage information and the weather forecast information, a first screening process is performed on all the curtain walls to obtain a curtain wall reinforcement list, and the curtain wall reinforcement list is sent to the mobile terminal device; wherein the curtain wall reinforcement list displays equipment number information and location information of multiple first target curtain walls to be reinforced;

[0009] After the maintenance cycle, when extreme weather occurs in the curtain wall distribution area during the maintenance cycle, historical extreme weather information of the extreme weather is obtained;

[0010] According to the equipment information, the historical maintenance information, the historical damage information, the historical extreme weather information and the inspection specification, a second screening process is performed on all the curtain walls to generate an inspection plan list; wherein the inspection plan list displays equipment number information and location information of multiple second target curtain walls to be inspected;

[0011] According to the inspection plan list, control the drone to perform automatic inspection;

[0012] The historical maintenance information of the curtain wall is updated according to the inspection information returned by the drone.

[0013] According to some embodiments of the present application, the first screening process is performed on all the curtain walls according to the equipment information, the historical maintenance information, the historical damage information and the weather forecast information to obtain a curtain wall reinforcement list, including:

[0014] Obtaining wind force level forecast information from the weather forecast information;

[0015] Determining screening criteria based on the wind force level forecast information;

[0016] Screening all the curtain walls according to the screening criteria, the historical maintenance information, and the historical damage information to obtain a plurality of the first target curtain walls to be reinforced;

[0017] The curtain wall reinforcement list is generated according to the equipment number information and the position information of the plurality of first target curtain walls.

[0018] According to some embodiments of the present application, the historical extreme weather information includes: historical wind information; the second screening process is performed on all the curtain walls according to the equipment information, the historical maintenance information, the historical damage information, the historical extreme weather information and the inspection specification to generate an inspection plan list, including:

[0019] Acquire historical wind information from the historical extreme weather information; wherein the historical wind information includes wind direction information, wind influence range and wind circle level information;

[0020] According to the wind circle level information, the wind force influence range is divided into a core area, a key area, and a marginal area from high to low;

[0021] Determine all the curtain walls located in the core area as the second target curtain walls, and generate a first inspection sub-list according to the device number information and the position information of each of the second target curtain walls in the core area;

[0022] Acquire address information of the curtain wall buildings to be inspected in the key area, determine the windward side and the leeward side of each of the curtain wall buildings according to the wind direction information, determine the curtain wall on the windward side as the second target curtain wall, and generate a second inspection sub-list according to the equipment number information and the position information of each of the second target curtain walls in the key area;

[0023] Screening all the curtain walls located in the edge area, screening out the curtain walls that have not been repaired for more than a preset time according to the historical maintenance information to determine them as the second target curtain walls, sorting the second target curtain walls according to the historical damage information, and generating a third inspection sub-list according to the equipment number information and the location information of each of the second target curtain walls in the edge area;

[0024] A first inspection plan list is generated by arranging the first inspection sub-list, the second inspection sub-list and the third inspection sub-list in sequence.

[0025] According to some embodiments of the present application, the historical extreme weather information includes: historical rainfall information; the second screening process is performed on all the curtain walls according to the equipment information, the historical maintenance information, the historical damage information, the historical extreme weather information and the inspection specification to generate an inspection plan list, and further includes:

[0026] Acquire historical rainfall information from the historical extreme meteorological information; wherein the historical rainfall information includes at least one rainfall range and the average rainfall in each rainfall range;

[0027] Determine the rainfall range where the average rainfall is greater than or equal to a preset value as the first area to be inspected;

[0028] Determine all the curtain walls in the first area to be inspected as second target curtain walls, and generate a fourth inspection sub-list according to the device information of each of the second target curtain walls in the first area to be inspected;

[0029] Determine the rainfall range where the average rainfall is less than a preset value as the second area to be inspected;

[0030] Screening all the curtain walls in the second area to be inspected, screening out the curtain walls that have not been inspected for more than a preset time according to the historical maintenance information to determine them as second target curtain walls, sorting the second target curtain walls according to the historical damage information, and generating the fifth inspection sub-list according to the equipment information of the second target curtain walls in the second area to be inspected;

[0031] The second inspection plan list is generated by arranging the fourth inspection sub-list and the fifth inspection sub-list in sequence.

[0032] According to some embodiments of the present application, the method further includes:

[0033] Receiving a query request sent by the mobile terminal device after scanning the curtain wall QR code; wherein each curtain wall QR code is generated by the terminal device and correspondingly set on a curtain wall;

[0034] Acquire the device number information of the third target curtain wall to be queried from the query request;

[0035] Obtain the device attribute information, the location information, and the historical maintenance information of the third target curtain wall according to the device number information;

[0036] The device attribute information, the location information, and the historical maintenance information of the third target curtain wall are returned to the mobile terminal device.

[0037] According to some embodiments of the present application, the terminal device includes an information platform, and the information platform includes an interactive interface;

[0038] The method further comprises:

[0039] Acquire a template file uploaded through the interactive interface; wherein the template file records information to be imported of a plurality of curtain walls;

[0040] In response to a batch import instruction generated by triggering a batch import button, obtaining the information to be imported from the template file;

[0041] Import the information to be imported into the information platform in batches.

[0042] According to some embodiments of the present application, the method further includes:

[0043] In response to a query instruction generated by triggering a query button in the interactive interface, obtaining a keyword or option entered in the query box;

[0044] According to the keyword or the option, the target curtain wall information is screened out, and the target curtain wall information is displayed on the interactive interface.

[0045] According to some embodiments of the present application, the curtain wall management system further includes a plurality of sensor modules electrically connected to the terminal device; wherein each of the sensor modules is arranged on each curtain wall; the sensor modules include: a stress gauge, a wind pressure sensor, and a vibration sensor; the stress gauge is arranged on the curtain wall, the wind pressure sensor is installed at the outer center of the curtain wall, and the vibration sensor is installed at the corner of the curtain wall;

[0046] The method further comprises:

[0047] At preset data collection cycles, the stress information collected by the stress meter, the wind pressure information collected by the wind pressure sensor, and the vibration signal collected by the vibration sensor are obtained, and the collected stress information, wind pressure information, and vibration signal are saved in the big database corresponding to the equipment number information;

[0048] When the stress information exceeds a preset first safety threshold, or the wind pressure information exceeds a preset second safety threshold, or the vibration signal exceeds a preset third safety threshold, a safety alarm is issued and a safety warning message is displayed; wherein the safety warning message includes the equipment number information of the abnormal curtain wall.

[0049] In a second aspect, the present application provides an electronic device comprising at least one processor and a memory for communicating with the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the curtain wall monitoring and management method based on big data as described in any one of the embodiments of the first aspect.

[0050] In a third aspect, the present application provides a storage medium, which is a computer-readable storage medium, and the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the curtain wall monitoring and management method based on big data as described in any one of the embodiments of the first aspect.

[0051] The embodiment of the present application includes: in a curtain wall management system, obtaining equipment information, historical maintenance information, and historical damage information of the curtain wall from a large database through a terminal device; obtaining weather forecast information in a curtain wall distribution area; performing a first screening process on all curtain walls according to the equipment information, historical maintenance information, historical damage information, and weather forecast information, obtaining a curtain wall reinforcement list, and sending the curtain wall reinforcement list to a mobile terminal device; wherein the curtain wall reinforcement list displays equipment number information and location information of multiple first target curtain walls to be reinforced; after a maintenance cycle, when extreme weather occurs in the curtain wall distribution area during the maintenance cycle, obtaining historical extreme weather information of the extreme weather; performing a second screening process on all curtain walls according to the equipment information, historical maintenance information, historical damage information, historical extreme weather information, and inspection specifications, and generating an inspection plan list; wherein the inspection plan list displays equipment number information and location information of multiple second target curtain walls to be inspected; according to the inspection plan list, controlling a drone to perform automatic inspection; and updating the historical maintenance information of the curtain wall according to the inspection information returned by the drone. On the one hand, based on the historical maintenance information, historical damage information, and weather forecast information in the curtain wall distribution area recorded by big data, a curtain wall reinforcement list can be generated in a timely manner to notify the inspection personnel to reinforce the curtain wall in advance to cope with the upcoming weather, thereby improving the inspection, maintenance, and management efforts; on the other hand, after extreme weather, an inspection plan list can be generated in a timely manner based on the historical maintenance information, historical damage information, and historical extreme weather information recorded by big data, and drones can be controlled to execute the inspection plan list to improve inspection efficiency, which is conducive to timely discovery of curtain walls damaged after extreme weather; further improving the efficiency of inspection, maintenance, and management of large quantities of curtain walls. That is to say, the solution of the embodiment of the present application can achieve efficient inspection, maintenance, and management of large quantities of curtain walls based on big data.

[0052] Other features and advantages of the invention will be described in the following description, and partly become apparent from the description, or be understood by practicing the present application. The purpose and other advantages of the present application can be realized and obtained through the structures particularly pointed out in the description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is a structural schematic diagram of a curtain wall management system provided by an embodiment of the present application;

[0054] Figure 2 It is a schematic diagram of an interactive interface of an information platform provided by an embodiment of the present application;

[0055] Figure 3 is a schematic diagram of a device management page provided by an embodiment of the present application;

[0056] Figure 4is a schematic diagram of a file management page provided by an embodiment of the present application;

[0057] Figure 5 is a schematic diagram of an event management page provided by an embodiment of the present application;

[0058] Figure 6 It is a flowchart of a curtain wall monitoring and management method based on big data provided by an embodiment of the present application;

[0059] Figure 7 It is a schematic diagram of the hardware structure of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0060] In order to make the objectives, technical solutions and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments.

[0061] It should be noted that although a logical order is shown in the flowchart in the description of the present application, in some cases, the steps shown or described may be performed in an order different from that in the flowchart. In the description of the present application, a number of means one or more, and a plurality of means two or more. The description of "first" and "second" is only used for the purpose of distinguishing technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0062] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0063] First, several terms involved in the present invention are explained:

[0064] Big data: refers to a collection of data with large volume, diverse types and complex processing. Big data technology is a technology for processing and analyzing big data, including data collection, storage, processing, analysis and visualization. The application scope of big data technology is very wide, including but not limited to business, medical, finance, transportation, energy and other fields. The following are some common applications of big data technology: First, data collection: collect data through various sensors, devices and software, such as social media data, Internet of Things data, log data, etc. Second, data storage: store the collected data in a distributed file system. Third, data processing: use a distributed computing framework to process and analyze data, such as data cleaning, data mining, machine learning, etc. Fourth, data visualization: use various tools and technologies to visualize data, such as data dashboards, reports, charts, etc. Fifth, data security: protect the security and privacy of data, such as data encryption, access control, identity authentication, etc.

[0065] Vibration sensor: A sensor that can sense the parameters of mechanical motion vibration (vibration speed, frequency, acceleration, etc.) and convert the parameters into usable output signals.

[0066] Strain gauge: used to measure the external load on an object; it can analyze the changes in internal stress through the deformation of the object's surface.

[0067] Wind pressure sensor: A device used to monitor pressure changes in gas flow. It is usually used to measure wind pressure in gas flow, such as air flow. When gas flows through the wind pressure sensor, the gas will exert pressure on the wind pressure sensor. The wind pressure sensor will convert this pressure change into an electrical signal and reflect the wind pressure change in the gas flow through the output signal.

[0068] Based on this, the present application provides a curtain wall monitoring and management method based on big data, a curtain wall management system, an electronic device, and a computer-readable storage medium, the method comprising: obtaining equipment information, historical maintenance information, and historical damage information of the curtain wall from a big database; obtaining weather forecast information in the curtain wall distribution area; performing a first screening process on all curtain walls according to the equipment information, historical maintenance information, historical damage information, and weather forecast information, obtaining a curtain wall reinforcement list, and sending the curtain wall reinforcement list to a mobile terminal device; wherein the curtain wall reinforcement list displays equipment number information and location information of multiple first target curtain walls to be reinforced; after a maintenance cycle, when extreme weather occurs in the curtain wall distribution area during the maintenance cycle, obtaining historical extreme weather information of the extreme weather; performing a second screening process on all curtain walls according to the equipment information, historical maintenance information, historical damage information, historical extreme weather information, and inspection specifications, and generating an inspection plan list; wherein the inspection plan list displays equipment number information and location information of multiple second target curtain walls to be inspected; according to the inspection plan list, controlling a drone to perform automatic inspection; and updating the historical maintenance information of the curtain wall according to the inspection information returned by the drone. It can realize efficient inspection, maintenance and management of large quantities of curtain walls based on big data.

[0069] The embodiments of the present application are further described below in conjunction with the accompanying drawings.

[0070] On the one hand, if Figure 1 As shown, the curtain wall management system 100 includes: a terminal device 110, a mobile device 120 and a drone 130, a big database 140 and a plurality of sensor modules 150. The terminal device 110 is respectively connected to the mobile device 120, the drone 130, the big database 140 and the sensor module 150 for communication. Each sensor module is arranged on each curtain wall; the sensor module 150 includes: a stress gauge 151, a wind pressure sensor 152 and a vibration sensor 153; the stress gauge is arranged on the curtain wall, the wind pressure sensor is installed at the outer center of the curtain wall, and the vibration sensor is installed at the corner of the curtain wall.

[0071] Among them, the terminal device 110 is used to: obtain the equipment information, historical maintenance information, and historical damage information of the curtain wall from the big database 140; obtain the weather forecast information in the curtain wall distribution area; perform a first screening process on all curtain walls according to the equipment information, historical maintenance information, historical damage information, and weather forecast information, obtain a curtain wall reinforcement list, and send the curtain wall reinforcement list to the mobile terminal device 120; wherein the curtain wall reinforcement list displays the equipment number information and location information of multiple first target curtain walls to be reinforced; after the maintenance cycle, when extreme weather occurs in the curtain wall distribution area during the maintenance cycle, obtain the historical extreme weather information of the extreme weather; perform a second screening process on all curtain walls according to the equipment information, historical maintenance information, historical damage information, historical extreme weather information, and inspection specifications, and generate an inspection plan list; wherein the inspection plan list displays the equipment number information and location information of multiple second target curtain walls to be inspected; according to the inspection plan list, control the drone 130 to perform automatic inspection; and update the historical maintenance information of the curtain wall according to the inspection information returned by the drone 130. On the one hand, according to the historical maintenance information, historical damage information, and weather forecast information in the curtain wall distribution area recorded by big data, a curtain wall reinforcement list can be generated in time to notify the inspection personnel to reinforce the curtain wall in advance to cope with the upcoming weather, thereby improving the inspection, maintenance, and management efforts; on the other hand, after extreme weather, an inspection plan list can be generated in time according to the historical maintenance information, historical damage information, and historical extreme weather information recorded by big data, and the drone 130 can be controlled to execute the inspection plan list to improve the inspection efficiency, which is conducive to timely discovery of curtain walls damaged after extreme weather; further improving the efficiency of inspection, maintenance, and management of large quantities of curtain walls. That is to say, the solution of the embodiment of the present application can realize efficient inspection, maintenance, and management of large quantities of curtain walls based on big data.

[0072] The terminal device 110 is also used to: obtain the stress information collected by the stress meter 151, the wind pressure information collected by the wind pressure sensor 152, and the vibration signal collected by the vibration sensor 153 at intervals of a preset data collection cycle, and save the collected stress information, wind pressure information, and vibration signal corresponding to the device number information in a large database; when the stress information exceeds the preset first safety threshold, or the wind pressure information exceeds the preset second safety threshold, or the vibration signal exceeds the preset third safety threshold, a safety alarm is issued and a safety warning message is displayed; wherein the safety warning message includes the device number information of the abnormal curtain wall. The sensor module 150 collects stress information, wind pressure information, and vibration signals, and monitors the safety of the curtain wall in real time. When the data is abnormal or there are safety hazards in the curtain wall, the safety alarm and safety warning message are sent to the mobile terminal device 120 in a timely manner, which can effectively improve the efficiency of monitoring and managing the curtain wall.

[0073] In some embodiments, the mobile device 120 is equipped with a management APP software for curtain wall management. Through the dedicated management APP software, relevant personnel who have registered an account and have permission can scan the device QR code on the curtain wall through the management APP software, and can view the equipment number information, equipment attribute information, acceptance information, location information, curtain wall manufacturer information, etc. of the curtain wall, which is convenient for relevant personnel to obtain relevant information of the curtain wall in a timely manner and also convenient for relevant personnel to participate in the management of the curtain wall. Among them, the equipment attribute information includes the equipment type and equipment size; the acceptance information includes: acceptance time, operating personnel, construction unit, supervision unit, property unit, construction unit company name and personnel name and contact information and acceptance pictures.

[0074] In some embodiments, by using the mobile device 120 to scan the device QR code on the curtain wall, you can also jump to the mini program to view the device number, user guidance video or graphic instructions, etc.

[0075] Specifically, the mobile device 120 may be a personal mobile phone, a tablet computer, etc., and the present application does not impose any specific limitation on the type of the mobile device 120 .

[0076] In some embodiments, the terminal device 110 includes an information platform, and the information platform includes an interactive interface. Through the interactive interface, relevant personnel such as engineering, operation, security, property, and customers can query the curtain wall information in the information platform, or add or modify the curtain wall information.

[0077] like Figure 2 As shown, the interactive interface includes a management list area and a management display area. The management list area displays three candidate columns: device management, file management, and event management; when a target column is selected from the three candidate columns in the management list area, the corresponding management page will be displayed in the management display area.

[0078] like Figure 3 As shown, the device management page displays a first query area and a device management display operation area. The first query area displays five query input boxes, a query button, and a reset button. The query input box is used to enter the filter conditions. Specifically, the first query area supports entering the device number, selecting the device type, selecting the device location, selecting the acceptance status, and selecting the acceptance time to filter and query the specified device. The reset button is used to clear the contents of each query input box when triggered. The query button is used to generate a query instruction when triggered. At this time, the device management display operation area is used to display the query results.

[0079] The equipment management display operation area also displays the add equipment button, batch import button, view button, and edit button. By clicking the add equipment button, the add equipment subpage will pop up. The manager can fill in the equipment number information, equipment attribute information, acceptance information, etc. of the equipment on the equipment subpage, and complete the operation of adding a single device after confirming the submission. It is equivalent to establishing a dedicated management file for a single curtain wall.

[0080] The operation of adding a single device is rather cumbersome, therefore, you can click the batch import button to upload a template file, which records the device information of multiple curtain walls to be imported; after confirming that the batch import button is clicked, a batch import instruction is generated to batch import the device information to be imported into the information platform.

[0081] After clicking the View button, you will be redirected to the device details page, where you can view the basic information of the specified device, the associated file information and event information. Among them, the basic information includes: device information and acceptance information. The device information includes: the device number information, device type, device location, device size, first installation time, and curtain wall manufacturer information of the displayed device; the acceptance information includes: acceptance status, acceptance time, name of the operating unit, operating personnel information, name of the construction unit, construction personnel information, name of the supervision unit, supervision personnel information, name of the property unit, property personnel information, name of the construction unit, construction personnel information, and photos of the acceptance process uploaded here. The file information includes: displaying the files associated with this device, viewing the file name, format, classification, upload time, and uploader information. Support uploading files associated with the device here, downloading or deleting the specified file event information includes: displaying the events associated with this device, viewing the event title, type, status, handling opinions, last update time, and operator information. Support adding event details associated with the device, viewing, editing, or deleting specified events.

[0082] After clicking the Edit button, you can jump to the Edit Device Information subpage to edit the basic information of the corresponding curtain wall device.

[0083] like Figure 4 As shown, the file management page displays a second query area and a file management display operation area. The second query area displays three query input boxes, a query button, and a reset button. Among them, the second query area supports entering file names, selecting associated devices, and selecting file categories to filter and query files of specified devices. The reset button is used to clear the contents of each query input box when triggered. The query button is used to generate a query instruction when triggered. At this time, the file management display operation area is used to display the query results; among them, the query results are all uploaded file information, including: file name, associated device, file size, file format, file category, upload time, and uploader.

[0084] The file management display operation area also displays the upload file button, download button, and delete button. Click the download button to download the specified file; click the delete button to delete the specified file. Click the upload file button to jump to the file upload subpage, where you can select single or multiple local files, set the file classification, and click the upload button to upload files individually or in batches; if the file upload fails, you can view the failure reason in the status bar; if the file name contains device number information, the file will automatically be associated with the corresponding device.

[0085] like Figure 5 As shown, the event management page displays a third query area and an event management display operation area. The third query area displays 5 query input boxes, a query button, and a reset button. Among them, the third query area supports inputting event titles, selecting associated devices, selecting event types, selecting event status, and selecting event time to filter and query specified events. The reset button is used to clear the contents of each query input box when triggered. The query button is used to generate a query instruction when triggered. At this time, the event management page displays the query results; wherein, the query results are events and corresponding event information, and the event information includes but is not limited to: event title, event type, associated device, event status, handling opinions, last updated event, and operator.

[0086] In the file management display operation area, there are also buttons for adding events and for batch importing. An operation bar is displayed after each event, and the operation bar includes a view button, an edit button, and a delete button.

[0087] Click the Add Event button to jump to the Add Event subpage. Fill in the basic event information and event processing information on the Add Event subpage. Click Submit to successfully add a single event.

[0088] The operation of adding a single event is rather cumbersome, therefore, you can click the batch import button to upload a template file, which records the event information of multiple curtain walls to be imported; after confirming that the batch import button is clicked, a batch import instruction is generated to batch import the event information to be imported into the information platform.

[0089] Click the View button to view the details of the specified event information. Specifically, the event information includes basic event information and event processing information. The basic event information includes but is not limited to: event title, event description, event-related pictures, event type, and associated devices; the event processing information includes but is not limited to: event status, event processing opinions, and processing opinion-related pictures.

[0090] Click the Edit button to edit the details of the specified event in the pop-up window, and click the Delete button to delete the specified event.

[0091] In some embodiments, a spare parts warehouse management module and a log management module can also be established through the information platform. Among them, the spare parts warehouse management module can support the establishment of a spare parts warehouse ledger to record the inventory of spare parts; at the same time, spare parts can be associated with equipment to record the consumption of spare parts. The log management module supports viewing the records of user access or operation of each section function, including access IP, operation time, content action, etc.

[0092] Specifically, the terminal device 110 may be a PC device, a laptop computer, etc., and the present application does not impose any specific limitation on the type of the terminal device 110 .

[0093] It can be understood that the big database 140 is used to store relevant data.

[0094] Those skilled in the art will appreciate that the system structure shown in the figure does not constitute a limitation on the embodiments of the present application, and may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.

[0095] Those skilled in the art will appreciate that the system architecture and application scenarios described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Those skilled in the art will appreciate that with the evolution of the system architecture and the emergence of new application scenarios, the technical solutions provided in the embodiments of the present application are equally applicable to similar technical problems.

[0096] Based on the above system structure, various embodiments of the curtain wall monitoring and management method based on big data of the present application are proposed below.

[0097] On the other hand, Figure 6 As shown, the curtain wall monitoring management method based on big data can be applied to Figure 1 The terminal device in the curtain wall management system shown is connected to the mobile terminal device and the drone in communication. The curtain wall monitoring and management method based on big data may include but is not limited to steps S110 to S170.

[0098] Step S110: Acquire the equipment information, historical maintenance information, and historical damage information of the curtain wall from the big database; wherein the equipment information includes: equipment number information, location information, equipment attribute information, and manufacturer information of the curtain wall; the equipment attribute information includes equipment type and equipment size.

[0099] Step S120: Obtaining weather forecast information within the curtain wall distribution area.

[0100] Step S130: Perform a first screening process on all curtain walls according to the equipment information, historical maintenance information, historical damage information and weather forecast information, obtain a curtain wall reinforcement list, and send the curtain wall reinforcement list to the mobile device; wherein the curtain wall reinforcement list displays the equipment number information and location information of multiple first target curtain walls to be reinforced.

[0101] Step S140: After the maintenance cycle, when extreme weather occurs in the curtain wall distribution area during the maintenance cycle, historical extreme weather information of the extreme weather is obtained.

[0102] Step S150: Perform a second screening process on all curtain walls according to the equipment information, historical maintenance information, historical damage information, historical extreme weather information and inspection specifications, and generate an inspection plan list; wherein the inspection plan list displays the equipment number information and location information of multiple second target curtain walls to be inspected.

[0103] Step S160: According to the inspection plan list, control the drone to perform automatic inspection.

[0104] Step S170: Update the historical maintenance information of the curtain wall according to the inspection information returned by the drone.

[0105] Specifically, the historical maintenance information of the curtain wall includes but is not limited to: acceptance information and event information.

[0106] Specifically, the historical damage information includes but is not limited to: the number of curtain wall damage repairs and the type of damage.

[0107] Specifically, the equipment information of the curtain wall includes but is not limited to: equipment number information, location information, equipment attribute information, manufacturer information, and first installation time; the equipment attribute information includes equipment type and equipment size.

[0108] Specifically, the acceptance information includes but is not limited to: acceptance time, operating personnel, construction unit, supervision unit, property unit, company name and personnel names and contact information of the construction unit and acceptance pictures.

[0109] Specifically, event information includes basic event information and event processing information. The basic event information includes but is not limited to: event title, event description, event-related pictures, event type, and associated devices; event processing information includes but is not limited to: event status, event processing opinions, and processing opinion-related pictures.

[0110] Specifically, historical extreme weather information includes: historical wind information and historical rainfall information.

[0111] Through step S110 to step S170, in the curtain wall management system, the equipment information, historical maintenance information, and historical damage information of the curtain wall are obtained from the big database through the terminal device; the weather forecast information in the curtain wall distribution area is obtained; according to the equipment information, historical maintenance information, historical damage information and weather forecast information, all curtain walls are first screened and processed to obtain a curtain wall reinforcement list, and the curtain wall reinforcement list is sent to the mobile terminal device; wherein, the curtain wall reinforcement list displays the equipment number information and location information of multiple first target curtain walls to be reinforced; after the maintenance cycle, when extreme weather occurs in the curtain wall distribution area during the maintenance cycle, the historical extreme weather information of the extreme weather is obtained; according to the equipment information, historical maintenance information, historical damage information, historical extreme weather information and inspection specifications, all curtain walls are second screened and processed to generate an inspection plan list; wherein, the inspection plan list displays the equipment number information and location information of multiple second target curtain walls to be inspected; according to the inspection plan list, the drone is controlled to perform automatic inspection; according to the inspection information returned by the drone, the historical maintenance information of the curtain wall is updated. On the one hand, based on the historical maintenance information, historical damage information, and weather forecast information in the curtain wall distribution area recorded by big data, a curtain wall reinforcement list can be generated in a timely manner to notify the inspection personnel to reinforce the curtain wall in advance to cope with the upcoming weather, thereby improving the inspection, maintenance, and management efforts; on the other hand, after extreme weather, an inspection plan list can be generated in a timely manner based on the historical maintenance information, historical damage information, and historical extreme weather information recorded by big data, and drones can be controlled to execute the inspection plan list to improve inspection efficiency, which is conducive to timely discovery of curtain walls damaged after extreme weather; further improving the efficiency of inspection, maintenance, and management of large quantities of curtain walls. That is to say, the solution of the embodiment of the present application can achieve efficient inspection, maintenance, and management of large quantities of curtain walls based on big data.

[0112] According to some embodiments of the present application, Figure 6 Step S130 in the embodiment is further described, where step S130 includes but is not limited to steps S131 to S134.

[0113] Step S131: Obtain wind force level forecast information from weather forecast information.

[0114] Step S132: Determine the screening criteria according to the wind force level forecast information.

[0115] Step S133: Screen all curtain walls according to the screening criteria, historical maintenance information and historical damage information to obtain a plurality of first target curtain walls to be reinforced.

[0116] Step S134: Generate a curtain wall reinforcement list according to the equipment number information and location information of the plurality of first target curtain walls.

[0117] It is understandable that the weather forecast information in step S131 can be obtained from publicly released weather forecasts.

[0118] It is understandable that after obtaining the wind force level forecast information, step S132 determines different screening criteria. When the predicted wind force level is low, it is not necessary to reinforce all curtain walls, which can appropriately save maintenance costs; when the predicted wind force level is high, it is necessary to selectively reinforce some curtain walls with a long service life, saving maintenance costs while ensuring that they will not be damaged and fall in windy and rainy weather, causing safety accidents; when the wind force level is high, it is necessary to expand the scope of the reinforced curtain walls to ensure that the curtain walls can withstand the upcoming extreme weather.

[0119] Specifically, when the predicted wind force level is less than the first threshold, no screening process is performed and there is no need to reinforce the curtain wall.

[0120] Specifically, when the predicted wind force level exceeds the first threshold and is less than the second threshold, the first screening criterion is determined. The first screening criterion is: screening curtain walls above the 15th floor, which have been installed for more than 5 years, or the number of curtain wall damage repairs exceeds the preset first number threshold. The second threshold is greater than the first threshold.

[0121] Specifically, when the predicted wind force level exceeds the second threshold and is less than the third threshold, the second screening criterion is determined. The second screening criterion is: screening curtain walls that have been installed for more than 3 years or have been damaged and repaired for more than the preset second number threshold. The third threshold is greater than the second threshold; the second number threshold is less than the first number threshold.

[0122] Specifically, when the predicted wind force level exceeds the third threshold, the third screening criterion is determined. The third screening criterion is: the curtain wall whose latest acceptance time exceeds 3 months, or the number of curtain wall damage repairs exceeds the preset third numerical threshold. Among them, the third numerical threshold is less than the second numerical threshold.

[0123] It is understandable that the principle of setting the screening criteria is that the greater the wind level, the greater the number of curtain walls that need to be inspected and reinforced.

[0124] In one embodiment, the weather forecast information also includes rainfall forecast information. Similarly, after obtaining the rainfall forecast information from the weather forecast information, a screening criterion is determined according to the rainfall forecast information; according to the screening criterion and historical maintenance information, all curtain walls are screened to obtain multiple first target curtain walls to be reinforced, and a curtain wall reinforcement list is generated according to the equipment number information and location information of the multiple first target curtain walls. The specific method of determining the screening criterion based on the rainfall forecast information is the same as the method of determining the screening criterion based on the wind force level forecast information, and will not be repeated here.

[0125] Through steps S131 to S134, a curtain wall reinforcement list can be quickly and automatically generated based on historical maintenance information, historical damage information and weather forecast information, so as to notify inspection personnel to reinforce the curtain wall in advance to cope with the upcoming weather, thereby improving the inspection, maintenance and management efforts.

[0126] According to some embodiments of the present application, the inspection plan list includes a first inspection plan list and a second inspection plan list. The historical extreme weather information includes: historical wind information. Figure 6 Step S150: Perform a second screening process on all curtain walls according to the equipment information, historical maintenance information, historical damage information, historical extreme weather information and inspection specifications, and generate an inspection plan list, including but not limited to steps S1501 to S1506.

[0127] Step S1501: Acquire historical wind information from historical extreme weather information; wherein the historical wind information includes wind direction information, wind influence range and wind circle level information.

[0128] Step S1502: According to the wind circle level information, the wind influence range is divided into a core area, a key area, and a marginal area from high to low.

[0129] Step S1503: All curtain walls in the core area are determined as second target curtain walls, and a first inspection sub-list is generated according to the equipment number information and position information of each second target curtain wall in the core area.

[0130] Step S1504: Acquire the address information of the curtain wall buildings to be inspected in the key area, determine the windward side and leeward side of each curtain wall building according to the wind direction information, determine the curtain wall on the windward side as the second target curtain wall, and generate a second inspection sub-list according to the equipment number information and location information of each second target curtain wall in the key area.

[0131] Step S1505: All curtain walls located in the edge area are screened, curtain walls that have not been repaired for more than a preset time are screened out according to historical maintenance information and determined as second target curtain walls, the second target curtain walls are sorted according to historical damage information, and a third inspection sub-list is generated according to the equipment number information and location information of each second target curtain wall in the edge area.

[0132] Step S1506: Generate a first inspection plan list by arranging the first inspection sub-list, the second inspection sub-list and the third inspection sub-list in sequence.

[0133] Specifically, in step S1505, after a plurality of second target curtain walls are screened out according to the historical maintenance information, the plurality of second target curtain walls are sorted from high to low according to the order of the number of curtain wall damage and repair times in the historical damage information, and the inspection priority of the second target curtain walls is determined. Among them, the inspection priority of the curtain wall with a large number of curtain wall damage and repair times is higher than that of the curtain wall with a small number of curtain wall damage and repair times.

[0134] Through steps S1501 to S1506, if extreme weather occurs in the curtain wall distribution area during the maintenance period, an inspection plan list is generated in a timely manner based on historical maintenance information, historical damage information, and historical wind information in historical extreme weather information, and the drone is controlled to execute the inspection plan list to improve the inspection efficiency, which is conducive to timely discovery of curtain walls damaged by extreme weather; further improving the efficiency of inspection, maintenance and management of large quantities of curtain walls.

[0135] According to some embodiments of the present application, historical extreme weather information includes: historical rainfall information; further description Figure 6 Step S150: Perform a second screening process on all curtain walls according to the equipment information, historical maintenance information, historical damage information, historical extreme weather information and inspection specifications, and generate an inspection plan list, which also includes but is not limited to steps S1507 to S1512.

[0136] Step S1507: Acquire historical rainfall information from historical extreme weather information; wherein the historical rainfall information includes at least one rainfall range and an average rainfall amount in each rainfall range.

[0137] Step S1508: Determine a rainfall range where the average rainfall is greater than or equal to a preset value as the first area to be inspected.

[0138] Step S1509: all curtain walls in the first area to be inspected are determined as second target curtain walls, and a fourth inspection sub-list is generated according to the equipment information of each second target curtain wall in the first area to be inspected.

[0139] Step S1510: Determine a rainfall range where the average rainfall is less than a preset value as a second area to be inspected.

[0140] Step S1511: All curtain walls located in the second area to be inspected are screened, curtain walls that have not been inspected for more than a preset time are screened out according to historical maintenance information and determined as second target curtain walls, the second target curtain walls are sorted according to historical damage information, and a fifth inspection sub-list is generated according to the equipment information of the second target curtain walls in the second area to be inspected.

[0141] Step S1512: Generate a second inspection plan list by arranging the fourth inspection sub-list and the fifth inspection sub-list in sequence.

[0142] Specifically, in step S1511, after a plurality of second target curtain walls are screened out according to the historical maintenance information, the plurality of second target curtain walls are sorted from high to low according to the order of the number of curtain wall damage and repair times in the historical damage information, and the inspection priority of the second target curtain walls is determined. Among them, the inspection priority of the curtain wall with a large number of curtain wall damage and repair times is higher than that of the curtain wall with a small number of curtain wall damage and repair times.

[0143] Through steps S1507 to S1512, if extreme weather occurs in the curtain wall distribution area during the maintenance period, an inspection plan list is generated in a timely manner based on the historical maintenance information, historical damage information and historical rainfall information in the historical extreme weather information, and the drone is controlled to execute the inspection plan list to improve the inspection efficiency, which is conducive to timely discovery of curtain walls damaged by extreme weather; further improving the efficiency of inspection, maintenance and management of large quantities of curtain walls.

[0144] It is understandable that in extreme weather conditions, such as typhoon weather, high-level typhoons are generally accompanied by a lot of rainfall. At this time, considering the typhoon as the main influencing factor, a patrol plan list is generated based on historical wind information, mainly to check whether the stress structure of the curtain wall has changed, whether there are cracks on the surface, etc. Some extreme weather may only rain without wind. At this time, considering historical rainfall information as the main influencing factor, a patrol plan list is generated based on historical rainfall information, mainly to check the airtightness of the curtain wall, whether there is rain leakage, etc. It is also possible for the engineering staff to select one of them and order the drone to execute it while generating the first patrol plan list based on historical wind information and the second patrol plan list based on historical rainfall information.

[0145] It can be understood that the inspection plan list generation method provided by step S150 in the embodiment of the present application has a wide range of applicability and can cover a large range and a large number of curtain walls, which is more efficient for the inspection, maintenance and management of a large number of curtain walls.

[0146] According to some embodiments of the present application, the curtain wall monitoring and management method based on big data also includes but is not limited to steps S210 to S240.

[0147] Step S210: receiving a query request sent by a mobile terminal after scanning a curtain wall QR code; wherein each curtain wall QR code is generated by a terminal device and is correspondingly set on a curtain wall;

[0148] Step S220: Acquire the device number information of the third target curtain wall to be queried from the query request.

[0149] Step S230: Obtain the equipment attribute information, location information, and historical maintenance information of the third target curtain wall according to the equipment number information.

[0150] Step S240: Return the device attribute information, location information, and historical maintenance information of the third target curtain wall to the mobile device.

[0151] It is understandable that each curtain wall is printed with a unique curtain wall QR code. By scanning the unique curtain wall QR code, the equipment attribute information, location information, and historical maintenance information of the curtain wall can be queried.

[0152] Through steps S210 to S240, when the manager scans the curtain wall QR code using the management APP software, the mobile terminal device will send a query request carrying the device number information. After receiving the query request, the terminal device will quickly search for the device attribute information, location information, and historical maintenance information of the corresponding curtain wall based on the unique device number information, and return the found information to the mobile terminal device for display. This allows the manager to view it through the management APP software, and achieves real-time query and management on the mobile terminal device.

[0153] According to some embodiments of the present application, the terminal device includes an information platform, and the information platform includes an interactive interface; the curtain wall monitoring and management method based on big data also includes but is not limited to steps S310 to S330.

[0154] Step S310: Acquire a template file uploaded through the interactive interface; wherein the template file records information to be imported of multiple curtain walls.

[0155] Step S320: In response to the batch import instruction generated by the batch import button being triggered, the information to be imported is obtained from the template file.

[0156] Step S330: Batch import the information to be imported into the information platform.

[0157] It is understandable that, through the information platform of the terminal device provided in the embodiment of the present application, the administrator can add the device information of a single device and add the single event information through the interactive interface. However, the single device information and the single event information both contain a lot of specific information, and adding a single one will waste time and is not conducive to realizing large-scale information management.

[0158] Therefore, a template form can be downloaded from the information platform, and information can be filled in the template form to obtain a template file, which records the information to be imported of multiple curtain walls. Specifically, the information to be imported includes: batches of equipment information to be imported and batches of event information to be imported.

[0159] Through steps S310 to S330, the terminal device of the embodiment of the present application can batch import instructions to import batches of device information or event information to be imported in the template file into the information platform, thereby realizing sharing and unified management of the device information and event information of the curtain wall; it is conducive to the joint management and supervision of the curtain wall by multiple units.

[0160] According to some embodiments of the present application, the curtain wall monitoring and management method based on big data also includes: in response to a query instruction generated by a query button in the interactive interface being triggered, obtaining keywords or options entered in the query box; based on the keywords or options, filtering out target curtain wall information, and displaying the target curtain wall information on the interactive interface.

[0161] Specifically, the target curtain wall information includes: relevant information of a designated device, files of a designated device, and a designated event.

[0162] In one embodiment, when the keywords or options entered in the query box include at least one of the following: device number, device type, device location, acceptance status, and acceptance time, the terminal device responds to the query instruction generated by the query button being triggered, and filters the relevant information of the specified device based on the keywords or options.

[0163] In one embodiment, when the keyword or option entered in the query box includes at least one of the following: file name, associated device, file category, the terminal device generates a query instruction in response to the query button being triggered, and filters the query to find the files of the specified device according to the keyword or option.

[0164] In one embodiment, when the keywords or options entered in the query box include at least one of the following: event title, associated device, event type, event status, and event time, the terminal device responds to the query instruction generated by the query button being triggered, and filters the query to the specified event based on the keywords or options.

[0165] Therefore, the terminal device of the embodiment of the present application can respond to the query instructions and query information input by the manager, and query the target curtain wall information specified by the manager more quickly and accurately, so that the manager can quickly obtain the required specified information and efficiently manage large quantities of curtain walls.

[0166] According to some embodiments of the present application, the curtain wall management system also includes multiple sensor modules electrically connected to the terminal device; wherein each sensor module is arranged on each curtain wall; the sensor module includes: a stress gauge, a wind pressure sensor, and a vibration sensor; the stress gauge is arranged on the curtain wall, the wind pressure sensor is installed on the outer center of the curtain wall, and the vibration sensor is installed at the corner of the curtain wall; the curtain wall monitoring and management method based on big data also includes but is not limited to steps S410 to S420.

[0167] Step S410: obtaining stress information collected by the stress gauge, wind pressure information collected by the wind pressure sensor, and vibration signals collected by the vibration sensor at preset data collection cycles, and saving the collected stress information, wind pressure information, and vibration signals corresponding to the equipment number information into a large database;

[0168] Step S420: When the stress information exceeds the preset first safety threshold, or the wind pressure information exceeds the preset second safety threshold, or the vibration signal exceeds the preset third safety threshold, a safety alarm is issued and a safety warning message is displayed; wherein the safety warning message includes the equipment number information of the abnormal curtain wall.

[0169] It is understandable that the data collection period can be five minutes or one minute, or other time values. This application does not impose any specific restrictions on the value of the data collection period.

[0170] Through steps S410 to S420, the stress information, wind pressure information, and vibration signals collected by the sensor module are used to monitor the safety of the curtain wall in real time. When the data is abnormal or there are safety hazards in the curtain wall, the safety alarm and safety warning information are sent to the mobile device in a timely manner to notify the maintenance personnel to find the curtain wall with safety hazards in time, and conduct inspections, confirmations, and repairs, which can effectively improve the efficiency of monitoring and managing the curtain wall.

[0171] Thirdly, refer to Figure 7 The electronic device 700 includes: at least one processor 710 and a memory 720 for communicating with the at least one processor 710; the memory 720 stores instructions that can be executed by the at least one processor 710, and the instructions are executed by the at least one processor 710 so that the at least one processor 710 can execute the curtain wall monitoring and management method based on big data as any one of the embodiments of the first aspect.

[0172] The processor 710 and the memory 720 may be connected via a bus or other means.

[0173] The processor 710 can be implemented by a general-purpose central processing unit, a microprocessor, an application-specific integrated circuit, or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application.

[0174] The memory 720, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory 720 optionally includes a memory remotely arranged relative to the processor, and these remote memories can be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0175] The non-transient software program and instructions required to implement the curtain wall monitoring and management method based on big data in the above embodiment are stored in the memory, and when executed by the processor, the curtain wall monitoring and management method based on big data in the above embodiment is executed.

[0176] The device embodiments or system embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0177] In a fourth aspect, an embodiment of the present application further provides a storage medium, which is a computer-readable storage medium, and which stores computer-executable instructions, which are executed by a processor or controller, for example, by a processor in the above-mentioned device embodiment, so that the above-mentioned processor can execute the curtain wall monitoring and management method based on big data in the above-mentioned embodiment.

[0178] It will be appreciated by those skilled in the art that all or some of the steps and systems in the disclosed method above may be implemented as software, firmware, hardware and appropriate combinations thereof. Some physical components or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor or a microprocessor, or may be implemented as hardware, or may be implemented as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or a non-transitory medium) and a communication medium (or a temporary medium). As known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, disk storage or other magnetic storage devices, or any other medium that may be used to store desired information and may be accessed by a computer. Furthermore, it is well known to those skilled in the art that communication media typically embodies computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0179] The above is a specific description of the preferred implementation of the present application, but the present application is not limited to the above-mentioned implementation mode. Technical personnel familiar with the field can also make various equivalent deformations or substitutions without violating the spirit of the present application. These equivalent deformations or substitutions are all included in the scope defined by the present application.

Claims

1. A curtain wall monitoring and management method based on big data, characterized in that: A terminal device applied to a curtain wall management system, wherein the curtain wall management system further comprises a mobile terminal device, a drone, and a large database that are communicatively connected to the terminal device; The curtain wall monitoring and management method based on big data includes: Acquire the equipment information, historical maintenance information, and historical damage information of the curtain wall from the big database; wherein the equipment information includes: equipment number information, location information, equipment attribute information, and manufacturer information of the curtain wall; the equipment attribute information includes equipment type and equipment size; Obtain weather forecast information within the curtain wall distribution area; According to the equipment information, the historical maintenance information, the historical damage information and the weather forecast information, a first screening process is performed on all the curtain walls to obtain a curtain wall reinforcement list, and the curtain wall reinforcement list is sent to the mobile terminal device; wherein the curtain wall reinforcement list displays equipment number information and location information of multiple first target curtain walls to be reinforced; After the maintenance cycle, when extreme weather occurs in the curtain wall distribution area during the maintenance cycle, historical extreme weather information of the extreme weather is obtained; According to the equipment information, the historical maintenance information, the historical damage information, the historical extreme weather information and the inspection specification, a second screening process is performed on all the curtain walls to generate an inspection plan list; wherein the inspection plan list displays equipment number information and location information of multiple second target curtain walls to be inspected; According to the inspection plan list, control the drone to perform automatic inspection; Update the historical maintenance information of the curtain wall according to the inspection information returned by the drone; The historical extreme weather information includes: historical wind information; the second screening process is performed on all the curtain walls according to the equipment information, the historical maintenance information, the historical damage information, the historical extreme weather information and the inspection specification to generate an inspection plan list, including: Acquire historical wind information from the historical extreme weather information; wherein the historical wind information includes wind direction information, wind influence range and wind circle level information; According to the wind circle level information, the wind force influence range is divided into a core area, a key area, and a marginal area from high to low; Determine all the curtain walls located in the core area as the second target curtain walls, and generate a first inspection sub-list according to the device number information and the position information of each of the second target curtain walls in the core area; Acquire address information of the curtain wall buildings to be inspected in the key area, determine the windward side and the leeward side of each of the curtain wall buildings according to the wind direction information, determine the curtain wall on the windward side as the second target curtain wall, and generate a second inspection sub-list according to the equipment number information and the position information of each of the second target curtain walls in the key area; Screening all the curtain walls located in the edge area, screening out the curtain walls that have not been repaired for more than a preset time according to the historical maintenance information to determine them as the second target curtain walls, sorting the second target curtain walls according to the historical damage information, and generating a third inspection sub-list according to the equipment number information and the location information of each of the second target curtain walls in the edge area; A first inspection plan list is generated by arranging the first inspection sub-list, the second inspection sub-list and the third inspection sub-list in sequence.

2. The curtain wall monitoring and management method based on big data according to claim 1 is characterized in that: The first screening process is performed on all the curtain walls according to the equipment information, the historical maintenance information, the historical damage information and the weather forecast information to obtain a curtain wall reinforcement list, including: Obtaining wind force level forecast information from the weather forecast information; Determining screening criteria based on the wind force level forecast information; Screening all the curtain walls according to the screening criteria, the historical maintenance information, and the historical damage information to obtain a plurality of the first target curtain walls to be reinforced; The curtain wall reinforcement list is generated according to the equipment number information and the position information of the plurality of first target curtain walls.

3. The curtain wall monitoring and management method based on big data according to claim 1 is characterized in that: The historical extreme weather information includes: historical rainfall information; the second screening process is performed on all the curtain walls according to the equipment information, the historical maintenance information, the historical damage information, the historical extreme weather information and the inspection specification to generate an inspection plan list, and further includes: Acquire historical rainfall information from the historical extreme meteorological information; wherein the historical rainfall information includes at least one rainfall range and the average rainfall in each rainfall range; Determine the rainfall range where the average rainfall is greater than or equal to a preset value as the first area to be inspected; Determine all the curtain walls in the first area to be inspected as second target curtain walls, and generate a fourth inspection sub-list according to the device information of each of the second target curtain walls in the first area to be inspected; Determine the rainfall range where the average rainfall is less than a preset value as the second area to be inspected; Screening all the curtain walls in the second area to be inspected, screening out the curtain walls that have not been inspected for more than a preset time according to the historical maintenance information to determine them as second target curtain walls, sorting the second target curtain walls according to the historical damage information, and generating a fifth inspection sub-list according to the equipment information of the second target curtain walls in the second area to be inspected; The second inspection plan list is generated by arranging the fourth inspection sub-list and the fifth inspection sub-list in sequence.

4. The curtain wall monitoring and management method based on big data according to claim 1 is characterized in that: The method further comprises: Receiving a query request sent by the mobile terminal device after scanning the curtain wall QR code; wherein each curtain wall QR code is generated by the terminal device and correspondingly set on a curtain wall; Acquire the device number information of the third target curtain wall to be queried from the query request; Obtain the device attribute information, the location information, and the historical maintenance information of the third target curtain wall according to the device number information; The device attribute information, the location information, and the historical maintenance information of the third target curtain wall are returned to the mobile terminal device.

5. The curtain wall monitoring and management method based on big data according to claim 1 is characterized in that: The terminal device includes an information platform, and the information platform includes an interactive interface; The method further comprises: Acquire a template file uploaded through the interactive interface; wherein the template file records information to be imported of a plurality of curtain walls; In response to a batch import instruction generated by triggering a batch import button, obtaining the information to be imported from the template file; Import the information to be imported into the information platform in batches.

6. The curtain wall monitoring and management method based on big data according to claim 5 is characterized in that: The method further comprises: In response to a query instruction generated by triggering a query button in the interactive interface, obtaining a keyword or option entered in the query box; According to the keyword or the option, the target curtain wall information is screened out, and the target curtain wall information is displayed on the interactive interface.

7. The curtain wall monitoring and management method based on big data according to claim 1 is characterized in that: The curtain wall management system also includes a plurality of sensor modules electrically connected to the terminal device; wherein each of the sensor modules is arranged on each curtain wall; the sensor modules include: a stress gauge, a wind pressure sensor, and a vibration sensor; the stress gauge is arranged on the curtain wall, the wind pressure sensor is installed at the outer center of the curtain wall, and the vibration sensor is installed at the corner of the curtain wall; The method further comprises: At preset data collection cycles, the stress information collected by the stress meter, the wind pressure information collected by the wind pressure sensor, and the vibration signal collected by the vibration sensor are obtained, and the collected stress information, wind pressure information, and vibration signal are saved in the big database corresponding to the equipment number information; When the stress information exceeds a preset first safety threshold, or the wind pressure information exceeds a preset second safety threshold, or the vibration signal exceeds a preset third safety threshold, a safety alarm is issued and a safety warning message is displayed; wherein the safety warning message includes the equipment number information of the abnormal curtain wall.

8. An electronic device, characterized in that: It includes at least one processor and a memory for communicating with the at least one processor; the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the curtain wall monitoring and management method based on big data as described in any one of claims 1 to 7.

9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the curtain wall monitoring and management method based on big data as described in any one of claims 1 to 7.

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