Bim dynamic model construction site monitoring system for real-time visual observation

Abstract

The invention relates to the field of construction management, in particular to a bim dynamic model construction site monitoring system for real-time visual observation. The technical problem is that when a construction site is monitored, a construction site monitoring system based on image recognition is adopted, and the construction site monitoring system based on image recognition is used for analyzing collected images, so that whether the operation of workers meets the specification or not can be recognized, the safety of the workers is ensured, and the working efficiency is improved. However, the construction progress and the construction quality cannot be monitored; according to the technical scheme, the bim dynamic model construction site monitoring system for real-time visual observation comprises an image acquisition module, a bim modeling module, a data processing module, an intelligent identification module, a storage module and an alarm module, according to the invention, through the combination of the bim modeling technology and the image recognition technology, the progress and quality of a construction site can be monitored and analyzed, so that problems can be found and solved in time, and smooth construction and good construction quality are ensured.

Description

Technical Field

[0001] The present invention relates to the field of construction management, and particularly to a construction site monitoring system for a BIM dynamic model with real-time visual observation. Background Art

[0002] The construction site monitoring system plays an important role in the construction and management of engineering projects; the system installs cameras, sensors and related devices to monitor the situation of the construction site in real time; the monitoring system can detect and record various activities on the construction site, including the work progress of workers, the use of equipment and the transportation of materials; through the monitoring system, the project management team can understand the construction problems at any time and take necessary measures to solve the possible problems; when monitoring the construction site, a construction site monitoring system based on image recognition is used for monitoring. The construction site monitoring system based on image recognition analyzes the collected images and can identify whether the operations of the staff comply with the specifications to ensure the safety of the staff, but it cannot monitor the construction progress and construction quality. Summary of the Invention

[0003] In order to overcome the problem that when monitoring the construction site, a construction site monitoring system based on image recognition is used for monitoring. The construction site monitoring system based on image recognition analyzes the collected images and can identify whether the operations of the staff comply with the specifications to ensure the safety of the staff, but it cannot monitor the construction progress and construction quality.

[0004] The technical solution of the present invention is: a construction site monitoring system for a BIM dynamic model with real-time visual observation, including: An image acquisition module, which is used to acquire the image data of the construction site by using a variety of image acquisition devices; A BIM modeling module, which is used to perform modeling according to the construction drawings, construction plans and the image data collected by the image acquisition module to establish a construction simulation dynamic model; A data processing module, which is used to process the data of the construction site according to the construction simulation dynamic model established by the BIM modeling module and analyze to obtain abnormal data; An intelligent recognition module, which is used to analyze the potential safety hazards and abnormal situations on the construction site according to the processing results of the data processing module; A storage module, which is used to record and archive the image data of the construction site collected by the image acquisition module; An alarm module, which is used to judge the abnormal situations and potential safety hazards when the intelligent recognition module recognizes the abnormal situations and potential safety hazards, and remind the management personnel and construction personnel.

[0005] Preferably, by setting up an image acquisition module, image data at the construction site can be collected. By setting up a BIM modeling module, modeling can be carried out based on the data collected by the image acquisition module, and the construction site can be simulated through digital technology. By setting up a data processing module, the established model can be identified and analyzed. By setting up an intelligent recognition module, automatic recognition of abnormal situations can be achieved. By setting up a storage module, the data collected by the image acquisition module can be archived. By setting up an alarm module, the staff can be reminded, so that automatic monitoring of the construction site can be realized and human resources can be saved.

[0006] Preferably, the image acquisition module includes a high-definition camera, an infrared camera, a recording device, and an inspection drone. The high-definition camera is used to collect images of key areas within the construction site, such as the entrance and exit, the construction site, and the material storage area. The infrared camera is used to collect infrared images within the construction site. The recording device is used to collect sound data within the construction site. The inspection drone is used to inspect the blind spots of the high-definition camera. Among them, the high-definition camera is a binocular vision camera.

[0007] Preferably, when the BIM modeling module performs modeling and establishes a construction simulation dynamic model based on the construction drawings, construction plans, and the image data collected by the image acquisition module, it includes the following steps: S11: Process and identify the visible light images within the construction site collected by the high-definition camera in the image acquisition module; S12: Use the recognized results and combine them with the construction drawings and construction plans to determine the specific types of items; S13: Based on the processing results in step S12, establish a construction simulation dynamic model of the construction site.

[0008] Preferably, when the BIM modeling module processes and identifies the visible light images within the construction site collected by the high-definition camera in the image acquisition module, the content to be identified includes: A11: Uncompleted and completed building facilities within the construction site; A12: Temporary building facilities within the construction site; A13: The positions and numbers of staff within the construction site; A14: Vehicles and other construction machinery and equipment within the construction site; A15: The stacking conditions of building materials and other materials within the construction site; A16: The situations of uncompleted and completed buildings.

[0009] Preferably, when the BIM modeling module processes and identifies the visible light images in the construction site collected by the high-definition camera in the image acquisition module, the following steps are included: S21: Preprocess the visible light images, where the preprocessing methods include noise reduction processing, contrast enhancement processing, etc.; S22: Use an identification model based on deep learning to identify the visible light images collected by the image acquisition module, and mark and segment the images of the identified objects; S23: Use binocular vision positioning technology to position and calculate the size of the identified objects, and perform equal-proportion scaling after the size calculation is completed to scale the identified objects to the size required for model establishment.

[0010] Preferably, when using binocular vision positioning technology to position and calculate the size of the identified objects, the following steps are included: S31: Divide the images collected by the binocular vision camera into a left-eye view and a right-eye view, and put the pixel points corresponding to each object in the left-eye view and the right-eye view into the same rectangular coordinate system; where the origin of the rectangular coordinate system corresponds to the pixel points at the same position in the left-eye view and the right-eye view; S32: Calculate the disparity of the pixel points corresponding to each key point in the binocular vision camera according to the coordinates of the pixel points corresponding to each object in the left-eye view and the right-eye view; where the disparity of the pixel points at each position in the binocular vision camera is calculated according to the following formula: , where d is the disparity of the pixel points at this position in the binocular vision camera, is the abscissa of the pixel points at this position in the left-eye view, is the abscissa of the pixel points at this position in the right-eye view; S33: Calculate the depth of the pixel points at this position in space according to the disparity; where the calculation formula is: ; where f is the focal length of the binocular vision camera, and b is the camera baseline distance; S34: Determine the coordinates of the key points according to the original position of the binocular camera, the abscissa, ordinate of the pixel points corresponding to each key point, and the calculated depth in space, and obtain the coordinates of each point in the image of the identified object.

[0011] Preferably, when the data processing module processes the data at the construction site and analyzes to obtain abnormal data according to the construction simulation dynamic model established by the BIM modeling module, the following steps are included: S41: Partition the construction simulation dynamic model established by the BIM modeling module. According to the construction plan and construction drawings, divide the construction simulation dynamic model into multiple different areas; S42: Use an identification algorithm based on deep learning to perform status identification and analysis on the conditions of buildings, materials, personnel, and equipment, etc. in different areas; S43: Analyze and judge the construction conditions in different areas according to construction safety requirements, construction plan requirements, construction drawing requirements, and other construction requirements, and judge whether there are any abnormal conditions.

[0012] Preferably, by setting up a BIM-based construction site simulation model, the construction progress and construction quality can be monitored in real time, and it can enable managers and other responsible personnel to observe the construction site intuitively and simply. Moreover, combined with the intelligent identification algorithm, it can simply identify the abnormal conditions and potential safety hazards on the construction site, helping the project team to timely discover and solve the problems encountered during the construction process, and ensuring the smooth and stable progress of the construction project.

[0013] Preferably, when the intelligent identification module analyzes the potential safety hazards and abnormal conditions on the construction site according to the processing results of the data processing module, it includes the following steps: S51: Analyze the abnormal data obtained by the data processing module. Among them, use an abnormal behavior detection algorithm based on AI for analysis; S52: Classify the abnormal data according to the set classification of abnormal conditions; S53: Automatically generate an improvement plan according to the abnormal conditions, and send the improvement plan to the corresponding responsible person according to the set responsible actors.

[0014] Preferably, when the storage module records and archives the image data of the construction site collected by the image acquisition module, it records and archives according to the following rules: A21: For data from two weeks ago and in the case that the data does not contain abnormal data, perform compression and streamlining processing on the data; A22: Extract and archive the abnormal data separately; A23: For data from two weeks ago and in the case that the data contains abnormal data, only archive the data without any processing.

[0015] Preferably, the alarm module includes a broadcast device. When the intelligent identification module identifies abnormal conditions and potential safety hazards, judges the abnormal conditions and potential safety hazards, and reminds managers and construction personnel, it includes the following steps: S61: Determine the abnormal situation area and potential safety hazard area, and mark the abnormal situation and potential safety hazard area in the data collected by the data acquisition module in the form of a marking box; S62: When staff or other personnel enter the abnormal situation area and potential safety hazard area, remind the staff and other personnel through a broadcasting device; S63: Periodically detect whether the abnormal situations and potential safety hazards in the abnormal situation area and potential safety hazard area have been handled.

[0016] Advantages of the present invention: 1. When monitoring a construction site compared with the prior art, a construction site monitoring system based on image recognition is used for monitoring. The construction site monitoring system based on image recognition analyzes the collected images, can identify whether the operations of the staff comply with the specifications, and ensure the safety of the staff, but it cannot monitor the construction progress and construction quality; this construction site monitoring system can monitor and analyze the progress and quality of the construction site by setting the combination of BIM modeling technology and image recognition technology, so as to discover and solve problems in time, and ensure the smooth progress of the construction and good construction quality; 2. By setting up a BIM-based construction site simulation model, the construction progress and construction quality can be monitored in real time, and it can enable managers and other responsible personnel to observe the construction site intuitively and simply. Moreover, combined with an intelligent recognition algorithm, it can simply identify the abnormal situations and potential safety hazards on the construction site, help the project team discover and solve problems encountered during the construction process in time, and ensure the smooth and stable progress of the construction project; 3. By setting up an image acquisition module, the image data of the construction site can be collected. By setting up a BIM modeling module, modeling can be carried out according to the data collected by the image acquisition module, and the construction site can be simulated through digital technology. By setting up a data processing module, the established model can be identified and analyzed. By setting up an intelligent recognition module, automatic recognition of abnormal situations can be realized. By setting up a storage module, the data collected by the image acquisition module can be archived. By setting up an alarm module, the staff can be reminded, so as to realize the automatic monitoring of the construction site and save human resources. Description of the Drawings

[0017] Figure 1 The figure shows a schematic structural diagram of a BIM dynamic model construction site monitoring system for real-time visual observation of the present invention; Figure 2 The figure shows a schematic working process diagram of the data processing module in the BIM dynamic model construction site monitoring system for real-time visual observation of the present invention. Detailed Embodiments

[0018] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0019] Please refer to Figure 1-2 , the present invention provides an embodiment: a BIM dynamic model construction site monitoring system for real-time visual observation, including: An image acquisition module, which is used to acquire image data of the construction site by using a variety of image acquisition devices; A BIM modeling module, which is used to perform modeling according to construction drawings, construction plans, and image data collected by the image acquisition module to establish a construction simulation dynamic model; A data processing module, which is used to process the data of the construction site according to the construction simulation dynamic model established by the BIM modeling module and analyze to obtain abnormal data; An intelligent recognition module, which is used to analyze potential safety hazards and abnormal situations at the construction site according to the processing results of the data processing module; A storage module, which is used to record and archive the image data of the construction site collected by the image acquisition module; An alarm module, which is used to judge abnormal situations and potential safety hazards when the intelligent recognition module recognizes abnormal situations and potential safety hazards, and remind management personnel and construction personnel.

[0020] Preferably, by setting the image acquisition module, the image data of the construction site can be acquired. By setting the BIM modeling module, modeling can be performed according to the data collected by the image acquisition module, and the construction site can be simulated through digital technology. By setting the data processing module, the established model can be recognized and analyzed. By setting the intelligent recognition module, automatic recognition of abnormal situations can be realized. By setting the storage module, the data collected by the image acquisition module can be archived. By setting the alarm module, the staff can be reminded, so as to realize the automatic monitoring of the construction site and save human resources.

[0021] Preferably, the image acquisition module includes a high-definition camera, an infrared camera, a recording device, and an inspection drone. The high-definition camera is used to acquire images of key areas within the construction site, such as entrances and exits, the construction site, and material storage areas. The infrared camera is used to acquire infrared images within the construction site. The recording device is used to acquire sound data within the construction site. The inspection drone is used to inspect the blind spots of the high-definition camera. Among them, the high-definition camera is a binocular vision camera.

[0022] Preferably, when the BIM modeling module performs modeling based on the construction drawings, construction plan, and the image data collected by the image acquisition module to establish a construction simulation dynamic model, it includes the following steps: S11: Process and identify the visible light images within the construction site collected by the high-definition cameras in the image acquisition module; S12: Use the identified results and combine them with the construction drawings and construction plan to determine the specific types of items; S13: Based on the processing results in step S12, establish a construction simulation dynamic model of the construction site.

[0023] Preferably, when the BIM modeling module processes and identifies the visible light images within the construction site collected by the high-definition cameras in the image acquisition module, the content to be identified includes: A11: Uncompleted and completed building facilities within the construction site; A12: Temporary building facilities within the construction site; A13: The positions and numbers of workers within the construction site; A14: Vehicles and other construction machinery and equipment within the construction site; A15: The stacking conditions of building materials and other materials within the construction site; A16: The situations of uncompleted and completed buildings.

[0024] Preferably, when the BIM modeling module processes and identifies the visible light images within the construction site collected by the high-definition cameras in the image acquisition module, it includes the following steps: S21: Preprocess the visible light images, where the preprocessing methods include noise reduction processing, contrast enhancement processing, etc.; S22: Use an identification model based on deep learning to identify the visible light images collected by the image acquisition module, and mark and segment the images of the identified objects; S23: Use binocular vision positioning technology to position and calculate the dimensions of the identified objects, and perform equal-proportion scaling after the dimension calculation is completed to scale the identified objects to the dimensions required for model establishment.

[0025] Preferably, when using binocular vision positioning technology to position and calculate the dimensions of the identified objects, it includes the following steps: S31: Divide the images collected by the binocular vision cameras into a left-eye view and a right-eye view, and place the pixel points corresponding to each object in the left-eye view and the right-eye view into the same rectangular coordinate system; where the origin of the rectangular coordinate system corresponds to the pixel points at the same position in the left-eye view and the right-eye view; S32: Calculate the disparity of the pixel points corresponding to each key point in the binocular vision camera according to the coordinates of the pixel points corresponding to each object in the left-eye view and the right-eye view; wherein, the disparity of the pixel points at each position in the binocular vision camera is calculated according to the following formula: , where d is the disparity of the pixel points at this position in the binocular vision camera, is the abscissa of the pixel points at this position in the left-eye view to, is the abscissa of the pixel points at this position in the right-eye view to; S33: Calculate the depth of the pixel points at this position in space according to the disparity; wherein, the calculation formula is: ; where f is the focal length of the binocular vision camera and b is the camera baseline distance; S34: Determine the coordinates of the key points according to the original position of the binocular camera, the abscissa, ordinate of the pixel points corresponding to each key point, and the calculated depth in space, and obtain the coordinates of each point in the recognized object image.

[0026] Preferably, when the data processing module processes the data at the construction site according to the construction simulation dynamic model established by the bim modeling module and analyzes to obtain abnormal data, it includes the following steps: S41: Partition the construction simulation dynamic model established by the bim modeling module, and divide the construction simulation dynamic model into multiple different regions according to the construction plan and construction drawings; S42: Use the recognition algorithm based on deep learning to perform status recognition and analysis on the buildings, materials, personnel, and equipment, etc. in different regions; S43: Analyze and judge the construction conditions in different regions according to the construction safety requirements, construction plan requirements, construction drawing requirements, and other construction requirements, and judge whether there are abnormal conditions therein.

[0027] Preferably, by setting up a bim-based construction site simulation model, the construction progress and construction quality can be monitored in real time, and it can enable managers and other responsible personnel to observe the construction site intuitively and simply. Moreover, combined with the intelligent recognition algorithm, the abnormal conditions and potential safety hazards at the construction site can be simply recognized, helping the project team to discover and solve the problems encountered during the construction process in a timely manner, and ensuring the smooth and stable progress of the construction project.

[0028] Preferably, when the intelligent recognition module analyzes the potential safety hazards and abnormal conditions at the construction site according to the processing results of the data processing module, it includes the following steps: S51: Analyze the abnormal data obtained by the data processing module. Among them, use an abnormal behavior detection algorithm based on AI for analysis; S52: Classify the abnormal data according to the set classification of abnormal situations; S53: Automatically generate an improvement plan according to the abnormal situation, and send the improvement plan to the corresponding responsible actor according to the set responsible actor.

[0029] Preferably, when the storage module records and archives the image data of the construction site collected by the image acquisition module, the recording and archiving are carried out according to the following rules: A21: For data two weeks ago and in the case that the data does not contain abnormal data, perform compression and streamlining processing on the data; A22: Extract and archive abnormal data separately; A23: For data two weeks ago and in the case that the data contains abnormal data, only archive the data without processing.

[0030] Preferably, the alarm module includes a broadcasting device. When the intelligent recognition module recognizes abnormal situations and potential safety hazards, and judges the abnormal situations and potential safety hazards and reminds the management personnel and construction personnel, the following steps are included: S61: Determine the abnormal situation area and the potential safety hazard area, and mark the abnormal situation and the potential safety hazard area in the data collected by the data acquisition module in the form of a marking box; S62: When a staff member or other person enters the abnormal situation area and the potential safety hazard area, remind the staff member and other persons through the broadcasting device; S63: Periodically detect whether the abnormal situations and potential safety hazards in the abnormal situation area and the potential safety hazard area have been handled.

[0031] Through the above steps, compared with the prior art when monitoring the construction site, using a construction site monitoring system based on image recognition for monitoring, the construction site monitoring system based on image recognition analyzes the collected images, can identify whether the operations of the staff members comply with the specifications, and ensure the safety of the staff members. However, it cannot monitor the construction progress and construction quality; this construction site monitoring system can monitor and analyze the progress and quality of the construction site by setting the combination of BIM modeling technology and image recognition technology, so as to discover and solve problems in time, and ensure the smooth progress of the construction and good construction quality.

[0032] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the above embodiments, and various changes can be made without departing from the spirit of the present invention within the scope of knowledge possessed by those skilled in the art.

Claims

1. A real-time visual observation BIM dynamic model construction site monitoring system; characterized by: Included are: An image acquisition module, used to acquire image data of the construction site using a variety of image acquisition devices; The bim modeling module is used to build a dynamic model for construction simulation based on the construction drawings, construction plans and image data collected by the image acquisition module; The data processing module is used to process the data of the construction site according to the construction simulation dynamic model established by the BIM modeling module and analyze the abnormal data; Intelligent identification module, used to analyze safety hazards and abnormal conditions at the construction site based on the processing results of the data processing module; A storage module is used to record and archive the image data of the construction site collected by the image acquisition module; The alarm module is used to judge the abnormal situation and safety hazard when the intelligent recognition module identifies the abnormal situation and safety hazard, and to remind the management personnel and construction personnel.

2. The real-time visual observation BIM dynamic model construction site monitoring system according to claim 1 is characterized by: The image acquisition module includes a high-definition camera, an infrared camera, a recording device and an inspection drone. The high-definition camera is used to collect images of key areas within the construction site, such as entrances and exits, construction sites and material storage areas. The infrared camera is used to collect infrared images within the construction site. The recording device is used to collect sound data within the construction site. The inspection drone is used to inspect blind spots of the high-definition camera. Among them, the high-definition camera is a binocular vision camera.

3. The real-time visual observation BIM dynamic model construction site monitoring system according to claim 2 is characterized by: The bim modeling module performs modeling based on the construction drawings, construction plans and image data collected by the image acquisition module to establish a construction simulation dynamic model, including the following steps: S11: Processing and identifying the visible light image in the construction site collected by the high-definition camera in the image acquisition module; S12: Using the identified results and combining them with the construction drawings and construction plans, determine the specific types of the items; S13: According to the processing result in step S12, a construction simulation dynamic model of the construction site is established.

4. The real-time visual observation BIM dynamic model construction site monitoring system according to claim 3 is characterized by: When the BIM modeling module processes and recognizes the visible light images in the construction site collected by the high-definition camera in the image acquisition module, the recognized contents include: A11: Unfinished construction facilities and completed construction facilities within the construction site; A12: Temporary construction facilities within the construction site; A13: Location and number of workers on the construction site; A14: Vehicles and other mechanical equipment within the construction site; A15: The stacking of building materials and other materials in the construction site; A16: The situation of unfinished buildings and completed buildings.

5. The real-time visual observation BIM dynamic model construction site monitoring system according to claim 4 is characterized by: When the BIM modeling module processes and recognizes the visible light image in the construction site collected by the high-definition camera in the image acquisition module, the following steps are included: S21: preprocessing the visible light image, wherein the preprocessing method includes noise reduction processing and contrast enhancement processing; S22: recognizing the visible light image collected by the deep learning-based recognition model image acquisition module, and marking and segmenting the image of the recognized object; S23: Using binocular vision positioning technology to locate and calculate the size of the identified object, and scaling it proportionally after the size calculation is completed, so as to scale the identified object to the size required for model building.

6. The real-time visual observation BIM dynamic model construction site monitoring system according to claim 5 is characterized by: When using binocular vision positioning technology to locate and calculate the size of the identified object, the following steps are included: S31: dividing the image captured by the binocular vision camera into a left-eye view and a right-eye view, and placing the pixel points corresponding to each object in the left-eye view and the right-eye view into the same rectangular coordinate system; wherein the origin of the rectangular coordinate system corresponds to the pixel point at the same position in the left-eye view and the right-eye view; S32: Calculate the disparity of the pixel point corresponding to each key point in the binocular vision camera according to the coordinates of the pixel point corresponding to each object in the left eye view and the right eye view; wherein the disparity of the pixel point at each position in the binocular vision camera is calculated according to the following formula: ， Among them, d is the disparity of the pixel point at that position in the binocular vision camera, is the horizontal coordinate of the pixel point at this position in the left eye view, is the horizontal coordinate of the pixel point at that position in the right eye view; S33: Calculate the depth of the pixel at the position in space according to the parallax; wherein the calculation formula is: ; Where f is the focal length of the binocular vision camera, and b is the camera baseline distance; S34: Determine the coordinates of the key points according to the original position of the binocular camera, the horizontal coordinate and the vertical coordinate of the pixel point corresponding to each key point, and the calculated depth in space to obtain the coordinates of each point in the recognized object image.

7. The real-time visual observation BIM dynamic model construction site monitoring system according to claim 6 is characterized by: The data processing module processes the data of the construction site according to the construction simulation dynamic model established by the BIM modeling module and analyzes the abnormal data, including the following steps: S41: partitioning the construction simulation dynamic model established by the BIM modeling module, and dividing the construction simulation dynamic model into a plurality of different areas according to the construction plan and the construction drawings; S42: Use deep learning-based recognition algorithms to identify and analyze the status of buildings, materials, personnel, and equipment in different areas; S43: Analyze and judge the construction conditions in different areas according to construction safety requirements, construction plan requirements, construction drawing requirements and other construction requirements to determine whether there are any abnormal conditions.

8. The real-time visual observation BIM dynamic model construction site monitoring system according to claim 7 is characterized by: When the intelligent recognition module analyzes the safety hazards and abnormal conditions at the construction site based on the processing results of the data processing module, the following steps are included: S51: analyzing the abnormal data acquired by the data processing module, wherein an abnormal behavior detection algorithm based on AI is used for analysis; S52: classifying the abnormal data according to the set abnormal situation classification; S53: According to the abnormal situation, an improvement plan is automatically generated, and the improvement plan is sent to the corresponding responsible person according to the set responsible person.

9. The real-time visual observation BIM dynamic model construction site monitoring system according to claim 8 is characterized by: When the storage module records and archives the image data of the construction site collected by the image acquisition module, it records and archives according to the following rules: A21: For data from two weeks ago, if the data does not contain abnormal data, compress and streamline the data; A22: Extract and archive abnormal data separately; A23: For data older than two weeks, if the data contains abnormal data, the data will only be archived and not processed.

10. The real-time visual observation BIM dynamic model construction site monitoring system according to claim 9 is characterized by: The alarm module includes a broadcasting device. When the intelligent recognition module identifies abnormal conditions and potential safety hazards, the alarm module judges the abnormal conditions and potential safety hazards and reminds the management personnel and the construction personnel, including the following steps: S61: Determine the abnormal situation area and the safety hazard area, and mark the abnormal situation and the safety hazard area in the data collected by the data collection module in the form of a marking box; S62: When staff or other personnel enter an abnormal situation area or a potential safety hazard area, the staff and other personnel are reminded through a broadcast device; S63: Periodically check whether the abnormal conditions and safety hazards in the abnormal condition area and the safety hazard area have been handled.

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