An intelligent integrated supervision platform and method for a construction engineering site
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NINGXIA JIAOTOU ENG CONSTR MANAGEMENT CO LTD
- Filing Date
- 2026-03-30
- Publication Date
- 2026-08-07
AI Technical Summary
但现有技术中，对于建设工程工地的监控通常针对某一方向的监控，对于多维度的监控存在不足，导致建设工程工地的安全性不能全面监控，无法做到一体化监控；其次，对地形可能缺少动态三维可视与趋势预测，进而导致建设工程工地因为地形的不同，导致地形的施工得不到监控；
[0014]与现有技术相比，本发明的有益效果是：本发明通过构建工地的工地三维模型，将工地三维模型进行区域划分获取功能类型区域；并获取功能类型区域的施工数据包并进行映射；设置对应施工数据包的安全识别数据包，并将安全识别数据包各个安全识别数据生成对应的识别特征集；进而根据安全识别数据在对应功能类型区域设置监控位置节点，并获取监控数据；根据识别特征集将监控数据进行特征识别获取特征节点；根据特征节点进行监控获取异常特征节点；根据异常特征节点构建一体化模型，基于一体化模型获取异常状态数据；有效全面、一体化的对建设工程工地进行监控。
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Figure CN122529638A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of construction engineering technology, specifically to an intelligent integrated monitoring platform and method for construction sites. Background Technology
[0002] Construction sites are the industry manifestation of the smart earth concept in the engineering field. Through technologies such as the Internet of Things, artificial intelligence, and big data, and relying on BIM modeling, 3D design platforms, and sensor monitoring, construction simulation and full-process digital management are achieved. The supervision of construction sites includes, but is not limited to, workers, terrain, equipment, and materials; workers include, but are not limited to, worker information, worker behavior, and worker attire; and the monitoring of construction site information is based on a monitoring platform. However, existing technologies for monitoring construction sites typically focus on monitoring in one direction, which is insufficient for multi-dimensional monitoring. This results in the inability to comprehensively monitor the safety of construction sites and achieve integrated monitoring. Secondly, there may be a lack of dynamic three-dimensional visualization and trend prediction of the terrain, which in turn leads to the inability to monitor construction work on different terrains. Therefore, in order to improve the comprehensive monitoring of construction sites, this invention provides an intelligent integrated monitoring platform and method for construction sites. Summary of the Invention
[0003] The purpose of this invention is to provide an intelligent integrated monitoring platform and method for construction sites, in order to address the shortcomings of the prior art.
[0004] To achieve the above objectives, the present invention provides the following technical solution: an intelligent integrated monitoring method for construction sites, the method comprising the following steps: Step S1: Construct a 3D model of the construction site, divide the 3D model into functional areas, and obtain the construction data package for each functional area and map it. Step S2: Set the safety identification data package corresponding to the construction data package, and generate the corresponding identification feature set for each safety identification data in the safety identification data package; Step S3: Set monitoring location nodes in the corresponding functional type area according to the security identification data, and obtain monitoring data; perform feature identification on the monitoring data according to the identification feature set to obtain feature nodes; Step S4: Monitor and obtain abnormal feature nodes based on feature nodes; construct an integrated model based on abnormal feature nodes; and obtain abnormal state data based on the integrated model.
[0005] Furthermore, the process of constructing a 3D model of the construction site and dividing the 3D model into functional areas includes: Obtain the work area of the construction site and construct a 3D model of the work area; based on the 3D model, obtain the physical parameters of the work area, including the work area edge, work area area, and work area type; the work area type includes work function type and work hazard type. By merging the 3D models of the same work area edges, a 3D model of the construction site is constructed. Set a threshold for the area of the work area. Areas with a work area smaller than the threshold will not be divided into type regions in the 3D model and will be recorded as undivided work areas. Conversely, based on the work function type, the corresponding 3D model of the area is divided into functional areas; then, the hazard identification of the work hazard type is obtained, and the area is divided into a hazardous area based on the hazard identification; otherwise, the area is marked as a normal area. Obtain the intersection of the functional type region and the danger region, and mark it as the first type region; At the same time, the type of the undivided work area is determined; the area type includes functional type area, hazardous type area, normal type area and first type area.
[0006] Furthermore, the process of acquiring and mapping construction data packets for functional type areas includes: Obtain personnel information, location information, and equipment information for construction in each functional area, integrate and generate construction data packages for each functional area, and map them to the corresponding functional areas. The personnel responsibility information includes personnel work information, personnel job positions, and personnel duties and tasks; the personnel work information includes basic personnel information and real-time work information; the location information includes personnel location data and device location data. Based on the personnel's job responsibilities and tasks, the system obtains the equipment information used, and then obtains the real-time work information of the personnel during use; the real-time work information includes real-time runtime, real-time equipment operation data, and real-time work status.
[0007] Furthermore, the process of setting up a safety identification data packet corresponding to the construction data packet, and generating a corresponding identification feature set from each safety identification data in the safety identification data packet, includes: Based on the personnel responsibilities and tasks in the construction data package, corresponding job identification data and status identification data are set; equipment operation identification data is set based on equipment information; and then hazard identification data is constructed based on the hazard signs of each hazardous area. Set personnel location identification data and equipment location identification data based on personnel location data and equipment location data; The safety identification data package is generated by integrating job identification data, status identification data, equipment operation identification data, hazard identification data, personnel location identification data, and equipment location identification data into a construction data package. The identification features of security identification data packets are obtained, and the identification features corresponding to the same security identification data are integrated to generate an identification feature set.
[0008] Furthermore, the process of setting monitoring location nodes in the corresponding functional type area based on security identification data and acquiring monitoring data includes: The monitoring data includes identified images and operational data; A corresponding monitoring location node is set at the location node corresponding to the security identification data, for installing the corresponding monitoring device, which includes a camera and a sensor; The system uses cameras to capture identification images of various security identification data packets, as well as sensors to collect real-time device operation data related to security identification.
[0009] Furthermore, the process of obtaining feature nodes by performing feature recognition on the monitoring data based on the feature set includes: The feature nodes include image feature nodes and device operation feature nodes; The identification images corresponding to the job identification data, status identification data and hazard identification data of the safety identification data package are obtained respectively. The image feature nodes of the identification images are obtained according to the corresponding identification feature sets, and then marked as job image feature nodes, status image feature nodes and hazard image feature nodes respectively. The images are then integrated to generate image feature nodes. Similarly, real-time device operation data is obtained, and corresponding device operation feature nodes are obtained by recognizing feature sets; The feature nodes include time nodes and location nodes.
[0010] Furthermore, the process of monitoring and obtaining abnormal feature nodes based on feature nodes includes: Configure the conditional characteristics of each identification data in the security identification data packet; If the conditional feature is true, then the feature node corresponding to the conditional feature is removed. Conversely, the feature node is marked as an abnormal feature node; The abnormal feature nodes include abnormal image feature nodes and abnormal device operation feature nodes.
[0011] Furthermore, an integrated model is constructed based on abnormal feature nodes, and the process of obtaining abnormal state data based on the integrated model includes: The abnormal feature nodes of the same type of area are integrated and mapped to the type area corresponding to the 3D model of the construction site; the time node and location node of the abnormal feature node are obtained; the abnormal feature nodes of the same time point of the same type of area are distinguished according to the location node, and the abnormal feature nodes with the same location node are connected to generate static integrated monitoring of the same location node. Based on the real-time runtime, the abnormal equipment operation feature nodes are mapped to the abnormal image feature nodes corresponding to the real-time working status of personnel to generate dynamic integrated monitoring. This allows for the integration of location node monitoring and dynamic monitoring into a unified monitoring system.
[0012] Based on the integrated monitoring, abnormal feature nodes of static integrated monitoring are obtained, and then marked and warned according to the location nodes; if abnormal feature nodes of dynamic integrated monitoring are obtained, warnings are issued according to the personnel's basic information.
[0013] Furthermore, it includes the following modules: The construction module is used to build a 3D model of the construction site, divide the 3D model into functional areas, and obtain and map the construction data packages for the functional areas. Identification module: Used to set the safety identification data package for the corresponding construction data package, and to generate the corresponding identification feature set for each safety identification data in the safety identification data package; Node setting module: Used to set monitoring location nodes in the corresponding functional type area according to security identification data, and to obtain monitoring data; and to obtain feature nodes by performing feature identification on the monitoring data according to the identification feature set; Anomaly monitoring module: used to monitor and obtain abnormal feature nodes based on feature nodes; to build an integrated model based on abnormal feature nodes; and to obtain abnormal state data based on the integrated model.
[0014] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention constructs a three-dimensional model of the construction site, divides the three-dimensional model into functional type areas, obtains construction data packages for each functional type area and maps them, sets safety identification data packages corresponding to the construction data packages, and generates corresponding identification feature sets for each safety identification data package, then sets monitoring location nodes in the corresponding functional type areas based on the safety identification data and obtains monitoring data, performs feature identification on the monitoring data based on the identification feature sets to obtain feature nodes, monitors based on the feature nodes to obtain abnormal feature nodes, constructs an integrated model based on the abnormal feature nodes, and obtains abnormal state data based on the integrated model; thus, it effectively, comprehensively, and holistically monitors the construction site. Attached Figure Description
[0015] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.
[0016] Figure 1 This is a flowchart of an intelligent integrated monitoring method for construction sites according to the present invention.
[0017] Figure 2 This is a schematic diagram of a smart integrated monitoring platform for construction sites. Detailed Implementation
[0018] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0019] Please see Figure 1 As shown, a smart integrated monitoring method for construction sites includes the following steps: Step S1: Construct a 3D model of the construction site, divide the 3D model into functional areas, and obtain the construction data package for each functional area and map it. Step S2: Set the safety identification data package corresponding to the construction data package, and generate the corresponding identification feature set for each safety identification data in the safety identification data package; Step S3: Set monitoring location nodes in the corresponding functional type area according to the security identification data, and obtain monitoring data; perform feature identification on the monitoring data according to the identification feature set to obtain feature nodes; Step S4: Monitor and obtain abnormal feature nodes based on feature nodes; construct an integrated model based on abnormal feature nodes; and obtain abnormal state data based on the integrated model.
[0020] Step S1 requires further refinement. The process of constructing a 3D model of the construction site and dividing the 3D model into functional area regions includes: Obtain the work area of the construction site and construct a 3D model of the work area; based on the 3D model, obtain the physical parameters of the work area, including the work area edge, work area area, and work area type; the work area type includes work function type and work hazard type. By merging the 3D models of the same work area edges, a 3D model of the construction site is constructed. In the above embodiments, it should be further explained that the regional 3D model mainly relies on BIM modeling technology and 3D reality modeling technology to construct a 3D digital twin model of the entire construction site scene, such as terrain, building structure, equipment, material storage area, etc.; details will not be elaborated here. Set a threshold for the area of the work area. Areas with a work area smaller than the threshold will not be divided into type regions in the 3D model and will be recorded as undivided work areas. Conversely, based on the work function type, the corresponding 3D model of the area is divided into functional areas; then, the hazard identification of the work hazard type is obtained, and the area is divided into a hazardous area based on the hazard identification; otherwise, the area is marked as a normal area. Obtain the intersection of the functional type region and the danger region, and mark it as the first type region; Simultaneously determine the type of the undivided work area; the area type includes functional type area, hazardous type area, normal type area, and first type area; In the above embodiments, it should be further explained that the functional type area is used to indicate that there are construction personnel in the area; that is, it includes indoor functional areas and outdoor functional areas; the indoor functional area is used to indicate functional areas where work is carried out indoors, such as monitoring rooms, meeting rooms, monitoring rooms, etc.; the outdoor functional area is used to indicate areas where construction is carried out outdoors, including but not limited to tool construction and worker construction, where tool construction is used to indicate that workers use load-bearing tools for construction, and the load-bearing tools include but are not limited to excavators, tower cranes, construction hoists, etc.; the operation hazard type is used to indicate that there are no construction personnel in the corresponding area; the hazard signs include high-altitude hazard signs, deep foundation pit hazard signs, edge hazard signs, etc., wherein: high-altitude hazard signs are used to indicate high-altitude hazard areas with a height greater than or equal to 'a' above the ground; deep foundation pit hazard signs are used to indicate foundation pit hazard areas with an excavation depth greater than or equal to 'b'; edge hazard signs are used to indicate edge hazard areas within a range of 'c' from the edge of the foundation pit, the edge of the floor, or the edge of the opening; where 'a', 'b', and 'c' are used to represent the threshold values of the hazard signs.
[0021] It should be further explained that the process of obtaining and mapping the construction data package for the functional type area includes: Obtain personnel information, location information, and equipment information for construction in each functional area, integrate and generate construction data packages for each functional area, and map them to the corresponding functional areas. The personnel responsibility information includes personnel work information, personnel job positions, and personnel duties and tasks; the personnel work information includes basic personnel information and real-time work information; the location information includes personnel location data and device location data. Based on personnel responsibilities and tasks, information about the equipment used is obtained, and then real-time work information of the personnel during use is obtained; the real-time work information includes real-time runtime, real-time equipment operation data, and real-time work status; In the above embodiments, it should be further noted that the basic personnel information includes, but is not limited to, age, height, appearance, etc.; the equipment information is used to represent the basic parameter information of the equipment, including but not limited to equipment code, equipment form, equipment purchase record, etc.; the real-time equipment operation data includes, but is not limited to, equipment temperature data, equipment vibration data, equipment rotation speed data, etc. Step S2 requires further refinement. The process of setting a safety identification data package corresponding to the construction data package and generating a corresponding identification feature set from each safety identification data in the safety identification data package includes: Based on the personnel responsibilities and tasks in the construction data package, corresponding job identification data and status identification data are set; equipment operation identification data is set based on equipment information; and then hazard identification data is constructed based on the hazard signs of each hazardous area. Set personnel location identification data and equipment location identification data based on personnel location data and equipment location data; The safety identification data package is generated by integrating job identification data, status identification data, equipment operation identification data, hazard identification data, personnel location identification data, and equipment location identification data into a construction data package. In the above embodiments, it should be further explained that the identification data is used to represent the data to be identified, including human facial data and object image data; for example, job identification data includes, but is not limited to, on-duty identification data, on-duty quantity identification data, off-duty identification data, etc.; another example is that task identification data includes clothing identification data and status identification data; the clothing identification data is not limited to, but includes, safety helmet identification data, reflective clothing identification data, safety clothing identification data, etc.; status identification data includes, but is not limited to, mobile phone use identification data, sleeping identification data, smoking identification data, etc.; the danger identification data is used to represent dangerous person identification data and dangerous object identification data; the dangerous person identification data includes, but is not limited to, person intrusion identification data, person dangerous location identification data, person dangerous behavior identification data, etc.; the dangerous object identification data includes, but is not limited to, the height of the guardrail of the high-altitude work platform, the integrity of the protective net, the anchor point fixing strength, etc.; the above identification data can be modified and adjusted according to the specific implementation.
[0022] Obtain the identification features of security identification data packets, and integrate the identification features corresponding to the same security identification data to generate an identification feature set; In the above embodiments, it should be further explained that the identification feature is used to represent the identification feature corresponding to the identification data. For example, if the identification data is off-duty identification data, the corresponding identification feature is an image of an unmanned post.
[0023] Further clarification is needed for step S3, which involves setting monitoring location nodes in the corresponding functional type area based on security identification data and acquiring monitoring data, including: The monitoring data includes identified images and operational data; A corresponding monitoring location node is set at the location node corresponding to the security identification data, for installing the corresponding monitoring device, which includes a camera and a sensor; The system collects identification images of each security identification data packet using cameras, and also collects real-time device operation data of the security identification data using sensors. In the above embodiments, it should be further explained that if the location node corresponding to the security identification data needs to collect images, then a camera is set at the corresponding location node to collect the corresponding identification image; otherwise, a sensor is set to collect operational data, such as real-time device operational data.
[0024] It should be further explained that the process of obtaining feature nodes by performing feature recognition on monitoring data based on the feature set includes: The feature nodes include image feature nodes and device operation feature nodes; The identification images corresponding to the job identification data, status identification data and hazard identification data of the safety identification data package are obtained respectively. The image feature nodes of the identification images are obtained according to the corresponding identification feature sets, and then marked as job image feature nodes, status image feature nodes and hazard image feature nodes respectively. The images are then integrated to generate image feature nodes. Similarly, real-time device operation data is obtained, and corresponding device operation feature nodes are obtained by recognizing feature sets; The feature nodes include time nodes and location nodes; In the above embodiments, it should be further explained that the image feature nodes and device operation feature nodes are both identified by recognizing feature sets, so the obtained feature nodes are all potentially abnormal nodes; wherein, the time node is used to indicate the time when the feature node occurs, and the location node is used to indicate the location where the feature node occurs.
[0025] For step S4, which requires further clarification, the process of monitoring and obtaining abnormal feature nodes based on feature nodes includes: Configure the conditional characteristics of each identification data in the security identification data packet; If the conditional feature is true, then the feature node corresponding to the conditional feature is removed. Conversely, the feature node is marked as an abnormal feature node; The abnormal feature nodes include abnormal image feature nodes and abnormal device operation feature nodes; In the above embodiments, it should be further explained that the conditional feature is used to indicate that the corresponding feature node is not abnormal under the conditional feature. For example, for the image feature node corresponding to the job identification data, which is a possible abnormal feature node indicating that the job is unoccupied, the conditional feature is set to the job being in a specified rest period, such as 12:00-13:00 noon. If the conditional feature is met, the feature node indicating that the job is unoccupied is recorded as a normal feature node and is extracted and removed. If the additional condition is not met, it is identified as an abnormal feature node. As another example, for the image feature node corresponding to the status identification data, a possible abnormal node is identified where the construction worker is not wearing a safety helmet, but the conditional feature is set to the worker being in an indoor functional area and not performing outdoor work. If the conditional feature is met, the feature node indicating that the worker is not wearing a safety helmet is recorded as a normal feature node and is extracted and removed. If the additional condition is not met, it is identified as an abnormal feature node.
[0026] It should be further explained that the process of constructing an integrated model based on abnormal feature nodes and obtaining abnormal state data based on the integrated model includes: The abnormal feature nodes of the same type of area are integrated and mapped to the type area corresponding to the 3D model of the construction site; the time node and location node of the abnormal feature node are obtained; the abnormal feature nodes of the same time point of the same type of area are distinguished according to the location node, and the abnormal feature nodes with the same location node are connected to generate static integrated monitoring of the same location node. Based on the real-time runtime, the abnormal equipment operation feature nodes are mapped to the abnormal image feature nodes corresponding to the real-time working status of personnel to generate dynamic integrated monitoring. This allows for the integration of location node monitoring and dynamic monitoring into a unified monitoring system.
[0027] Based on the integrated monitoring, abnormal feature nodes of static integrated monitoring are obtained, and then marked and warned according to the location nodes; if abnormal feature nodes of dynamic integrated monitoring are obtained, warnings are issued according to the personnel's basic information.
[0028] like Figure 2 As shown, the present invention also provides an intelligent integrated monitoring platform for construction sites, comprising the following modules: The construction module is used to build a 3D model of the construction site, divide the 3D model into functional areas, and obtain and map the construction data packages for the functional areas. Identification module: Used to set the safety identification data package for the corresponding construction data package, and to generate the corresponding identification feature set for each safety identification data in the safety identification data package; Node setting module: Used to set monitoring location nodes in the corresponding functional type area according to security identification data, and to obtain monitoring data; and to obtain feature nodes by performing feature identification on the monitoring data according to the identification feature set; Anomaly monitoring module: used to monitor and obtain abnormal feature nodes based on feature nodes; to build an integrated model based on abnormal feature nodes; and to obtain abnormal state data based on the integrated model.
[0029] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.
Claims
1. A smart integrated monitoring method for construction sites, characterized in that, The method includes the following steps: Step S1: Construct a 3D model of the construction site, divide the 3D model into functional areas, and obtain the construction data package for each functional area and map it. Step S2: Set the safety identification data package corresponding to the construction data package, and generate the corresponding identification feature set for each safety identification data in the safety identification data package; Step S3: Set monitoring location nodes in the corresponding functional type area according to the security identification data, and obtain monitoring data; perform feature identification on the monitoring data according to the identification feature set to obtain feature nodes; Step S4: Monitor and obtain abnormal feature nodes based on feature nodes; construct an integrated model based on abnormal feature nodes; and obtain abnormal state data based on the integrated model.
2. The intelligent integrated monitoring method for construction sites according to claim 1, characterized in that, The process of constructing a 3D model of the construction site and dividing the 3D model into functional areas includes: Obtain the work area of the construction site and construct a 3D model of the work area; based on the 3D model, obtain the physical parameters of the work area, including the work area edge, work area area, and work area type; the work area type includes work function type and work hazard type. By merging the 3D models of the same work area edges, a 3D model of the construction site is constructed. Set a threshold for the area of the work area. Areas with a work area smaller than the threshold will not be divided into type regions in the 3D model and will be recorded as undivided work areas. Conversely, based on the work function type, the corresponding 3D model of the area is divided into functional areas; then, the hazard identification of the work hazard type is obtained, and the area is divided into a hazardous area based on the hazard identification; otherwise, the area is marked as a normal area. Obtain the intersection of the functional type region and the danger region, and mark it as the first type region; At the same time, the type of the undivided work area is determined; the area type includes functional type area, hazardous type area, normal type area and first type area.
3. The intelligent integrated monitoring method for construction sites according to claim 2, characterized in that, The process of obtaining and mapping construction data packets for functional type areas includes: Obtain personnel information, location information, and equipment information for construction in each functional area, integrate and generate construction data packages for each functional area, and map them to the corresponding functional areas. The personnel responsibility information includes personnel work information, personnel job positions, and personnel duties and tasks; the personnel work information includes basic personnel information and real-time work information; the location information includes personnel location data and device location data. Based on the personnel's job responsibilities and tasks, the system obtains the equipment information used, and then obtains the real-time work information of the personnel during use; the real-time work information includes real-time runtime, real-time equipment operation data, and real-time work status.
4. The intelligent integrated monitoring method for construction sites according to claim 3, characterized in that, The process of setting up a safety identification data package for the corresponding construction data package and generating a corresponding identification feature set from each safety identification data in the safety identification data package includes: Based on the personnel responsibilities and tasks in the construction data package, corresponding job identification data and status identification data are set; equipment operation identification data is set based on equipment information; and then hazard identification data is constructed based on the hazard signs of each hazardous area. Set personnel location identification data and equipment location identification data based on personnel location data and equipment location data; The safety identification data package is generated by integrating job identification data, status identification data, equipment operation identification data, hazard identification data, personnel location identification data, and equipment location identification data into a construction data package. The identification features of security identification data packets are obtained, and the identification features corresponding to the same security identification data are integrated to generate an identification feature set.
5. The intelligent integrated monitoring method for construction sites according to claim 4, characterized in that, The process of setting monitoring location nodes in the corresponding functional type area based on security identification data and acquiring monitoring data includes: The monitoring data includes identified images and operational data; A corresponding monitoring location node is set at the location node corresponding to the security identification data, for installing the corresponding monitoring device, which includes a camera and a sensor; The system uses cameras to capture identification images of various security identification data packets, as well as sensors to collect real-time device operation data related to security identification.
6. The intelligent integrated monitoring method for construction sites according to claim 5, characterized in that, The process of obtaining feature nodes from monitoring data by performing feature recognition based on the feature set includes: The feature nodes include image feature nodes and device operation feature nodes; The identification images corresponding to the job identification data, status identification data and hazard identification data of the safety identification data package are obtained respectively. The image feature nodes of the identification images are obtained according to the corresponding identification feature sets, and then marked as job image feature nodes, status image feature nodes and hazard image feature nodes respectively. The images are then integrated to generate image feature nodes. Similarly, real-time device operation data is obtained, and corresponding device operation feature nodes are obtained by recognizing feature sets; The feature nodes include time nodes and location nodes.
7. The intelligent integrated monitoring method for construction sites according to claim 6, characterized in that, The process of monitoring and obtaining abnormal feature nodes based on feature nodes includes: Configure the conditional characteristics of each identification data in the security identification data packet; If the conditional feature is true, then the feature node corresponding to the conditional feature is removed. Conversely, the feature node is marked as an abnormal feature node; The abnormal feature nodes include abnormal image feature nodes and abnormal device operation feature nodes.
8. The intelligent integrated monitoring method for construction sites according to claim 7, characterized in that, The process of constructing an integrated model based on abnormal feature nodes and obtaining abnormal state data based on the integrated model includes: Integrate abnormal feature nodes of the same type of area and map them to the corresponding type area of the construction site 3D model; obtain the time node and location node of the abnormal feature node; distinguish abnormal feature nodes of the same time point in the same type of area according to the location node; obtain abnormal feature nodes with the same location node; connect them to generate static integrated monitoring of nodes with the same location node. Based on the real-time runtime, the abnormal equipment operation feature nodes are mapped to the abnormal image feature nodes corresponding to the real-time working status of personnel to generate dynamic integrated monitoring. Furthermore, the integrated monitoring of location nodes and the integrated monitoring of dynamics will be combined to generate an integrated monitoring system; Based on the integrated monitoring, abnormal feature nodes of static integrated monitoring are obtained, and then marked and warned according to the location nodes; if abnormal feature nodes of dynamic integrated monitoring are obtained, warnings are issued according to the personnel's basic information.
9. A smart integrated monitoring platform for construction sites, applied to the smart integrated monitoring method for construction sites as described in claims 1 to 8, characterized in that, Includes the following modules: The construction module is used to build a 3D model of the construction site, divide the 3D model into functional areas, and obtain and map the construction data packages for the functional areas. Identification module: Used to set the safety identification data package for the corresponding construction data package, and to generate the corresponding identification feature set for each safety identification data in the safety identification data package; Node setting module: Used to set monitoring location nodes in the corresponding functional type area according to security identification data, and to obtain monitoring data; and to obtain feature nodes by performing feature identification on the monitoring data according to the identification feature set; Anomaly monitoring module: used to monitor and obtain abnormal feature nodes based on feature nodes; to build an integrated model based on abnormal feature nodes; and to obtain abnormal state data based on the integrated model.