Intelligent construction site supervision method and device under multi-source data fusion, medium and equipment

Abstract

The invention relates to an intelligent construction site supervision method and device under multi-source data fusion, a medium and equipment, and relates to the technical field of construction site supervision, and the method comprises the steps: carrying out the fusion processing of monitoring video data, environment data and construction personnel positioning data through a preset multi-source data fusion algorithm, and obtaining a fusion result; obtaining current operation state information corresponding to the to-be-supervised construction site; when a monitoring interface checking instruction sent by a terminal of a construction site manager is received, generating a real-time monitoring interface corresponding to the to-be-supervised construction site based on the current operation state information and displaying the real-time monitoring interface in the terminal; and when a construction site early warning check instruction sent by a terminal of a construction site manager is received, inputting the current operation state information into a preset construction site operation state prediction model to obtain safety early warning information corresponding to the to-be-supervised construction site, and sending the safety early warning information to the terminal. The method has the effect of improving the comprehensiveness of construction site supervision.

Description

Technical Field

[0001] The present application relates to the technical field of construction site supervision, and specifically to a method, device, medium and equipment for intelligent construction site supervision under multi-source data fusion. Background Art

[0002] Multi-source data fusion refers to the technology of integrating and merging data from different sources and formats, aiming to create a more comprehensive, accurate and insightful data set for effective analysis and utilization. With the rapid development of the construction industry, the complexity and difficulty of site supervision are increasing. Among them, site supervision is crucial to construction safety, which involves accident prevention, risk assessment, emergency response, improvement of project quality and economic benefits. Good site management can ensure that safety regulations and operating standards on the construction site are strictly enforced, reduce potential danger points, and improve workers' safety awareness. In response to this challenge, many construction companies have begun to explore and implement the concept of smart sites to improve management efficiency and ensure project quality and safety. Among them, smart sites refer to a project management model that uses advanced information technology, such as the Internet of Things, to monitor and analyze the site in real time.

[0003] At present, the method usually adopted for construction site supervision is: using various sensors and cameras as data sources, obtaining various sensor data and monitoring data at the construction site, and then processing and analyzing them through traditional construction site management systems, so as to realize the supervision of the construction site. However, under this method, traditional construction site management systems can usually only process data from a single source, and process and analyze data from a single source, resulting in poor comprehensiveness of construction site supervision. Summary of the invention

[0004] In order to improve the comprehensiveness of construction site supervision, the present application provides a smart construction site supervision method, device, medium and equipment under multi-source data fusion.

[0005] In a first aspect of the present application, a smart construction site supervision method under multi-source data fusion is provided, which specifically includes: Obtain monitoring video data of each construction area in the construction site to be supervised, and obtain environmental data of the construction site to be supervised and location data of construction personnel; By using a preset multi-source data fusion algorithm, the monitoring video data, the environmental data and the construction personnel positioning data are fused and processed to obtain the current operation status information corresponding to the construction site to be supervised; Upon receiving a monitoring interface viewing instruction sent by a terminal of a construction site manager, generating a real-time monitoring interface corresponding to the construction site to be supervised based on the current operation status information and displaying it in the terminal; When a construction site warning check instruction is received from the terminal of the construction site manager, the current operation status information is input into the preset construction site operation status prediction model to obtain the safety warning information corresponding to the construction site to be supervised, and the safety warning information is sent to the terminal.

[0006] By adopting the above technical solution, after obtaining the monitoring video data, environmental data and construction personnel positioning data corresponding to the construction site to be supervised, the data from the three sources are fused and processed through a multi-source data fusion algorithm, thereby obtaining information that can more comprehensively reflect the operation status of the construction site, that is, the current operation status information. Furthermore, when the construction site manager wants to view the visualization of the operation of the entire construction site, the real-time monitoring interface corresponding to the construction site to be supervised is generated through the current operation status information and displayed in the terminal of the construction site manager; when the construction site manager wants to understand the safety warning information of the construction site, the construction site operation status prediction model is used to predict the future operation status information and determine the safety warning information based on the current operation status information, so that the construction site manager can have a more comprehensive supervision of the construction site.

[0007] Optionally, the obtaining of surveillance video data of each construction area in the construction site to be supervised specifically includes: Obtain the target construction operation of the construction personnel in each construction area of ​​the construction site to be supervised. If the target construction operation is a non-standard construction operation, control the preset camera of the corresponding construction area to switch from the normal recording mode to the target recording mode, where the target recording mode is a mode that is easy to observe the details of the monitoring video; Determine the construction process performed by the construction personnel corresponding to the target construction operation as a hidden danger construction process, and determine the associated target quality hidden danger based on the hidden danger construction process; Determine whether there is any inducing environmental data of the target quality hidden danger in the environmental data, and if so, determine the duration of the target recording mode according to the impact level of the inducing environmental data on the target quality hidden danger, wherein the greater the impact level, the longer the corresponding duration; After the duration, the camera is controlled to switch from the target recording mode to the normal recording mode to obtain monitoring video data of the corresponding construction area.

[0008] By adopting the above technical solution, if the target construction operation is a non-standard construction operation, it may cause quality risks in the corresponding construction process, so it is switched to the target recording mode, so that subsequent personnel can more easily observe the video details. Furthermore, based on this hidden danger construction process, the associated target quality hidden danger is determined, that is, this hidden danger construction process is likely to cause construction quality hidden dangers in the construction area. Finally, according to the impact level of the induced environmental data of the target quality hidden danger, the duration of the target recording mode is determined, so as to focus on recording the details that cause the target quality hidden danger in the target recording mode as much as possible. Once quality problems occur in the subsequent construction area, it is convenient to trace the cause of the quality problem.

[0009] Optionally, historical quality hazards generated by the hazardous construction process are obtained, and the first occurrence times of each of the historical quality hazards are counted, and the historical quality hazards with the first number are selected from the historical quality hazards in descending order of the first occurrence times and determined as the hazards that are likely to occur; Obtaining each of the historical non-standard construction operations in the hidden danger construction process when the hidden danger occurs, counting the second occurrence times of each of the historical non-standard construction operations, and selecting the second number of historical non-standard construction operations from each of the historical non-standard construction operations in descending order of the second occurrence times to determine as the corresponding hidden danger prone non-standard operation; Determine the hidden dangers that are prone to occur in the target construction operation in the corresponding non-standard operations that are prone to occur as key quality hidden dangers, and calculate the weight product of the first weight of each of the key quality hidden dangers and the second weight of the corresponding target construction operation, wherein the first weight is the ratio of the first occurrence number of each of the key quality hidden dangers to the sum of the first occurrence numbers of all the hidden dangers that are prone to occur, and the second weight is the ratio of the second occurrence number of the target construction operation corresponding to each of the key quality hidden dangers to the sum of the second occurrence numbers of all the corresponding non-standard operations that are prone to occur; A maximum weight product is selected from the weight products, and the key quality hazard corresponding to the maximum weight product is determined as the associated target quality hazard.

[0010] By adopting the above technical solution, the greater the first number of occurrences, the easier it is to generate the corresponding historical quality hidden danger once non-standard construction operations occur in this hidden danger construction process; the greater the second number of occurrences, the easier it is to generate hidden dangers when corresponding historical non-standard construction operations occur in the hidden danger construction process. Further, the hidden dangers that are easy to occur in the corresponding non-standard operations that are easy to exist in the target construction operation are determined as key quality hidden dangers, that is, the target construction operation is easy to cause quality hidden dangers in the corresponding construction area. Calculate the weight product of the first weight of each key quality hidden danger and the second weight of the corresponding target construction operation. The larger the weight product, the easier it is to cause the corresponding key quality hidden danger when the target construction operation is non-standard. Finally, the key quality hidden danger corresponding to the maximum weight product among each weight product is determined as the target quality hidden danger associated with this target construction operation, thereby accurately determining the quality hidden danger that is most likely to occur when the target construction operation is non-standard.

[0011] Optionally, the method further includes: Establish a corresponding relationship between the duration of the target recording mode in the monitoring video data corresponding to each construction area and the corresponding target quality hidden danger, and obtain a corresponding time period matching table; In the case where a target quality problem occurs in the construction area, determining the associated quality hazards of the target quality problem, and determining the level of association between each of the associated quality hazards and the target quality problem; The construction area corresponding to the target quality problem is determined as the target construction area, and the target duration period corresponding to the associated quality hidden danger is matched from the time period matching table corresponding to the target construction area. In order from large to small association levels corresponding to the associated quality hidden dangers, video clips of the corresponding target duration period are sequentially intercepted from the monitoring video data corresponding to the target construction area and sent to the terminal.

[0012] By adopting the above technical scheme, the time period matching table corresponding to the target construction area is screened out from each time period matching table, and the target duration time corresponding to each associated quality hazard is matched therefrom, that is, the duration time in which the corresponding associated quality hazard video details are recorded with a high probability in the monitoring video data. Finally, in descending order of the association levels corresponding to the associated quality hazards matching the target duration time, the video clips of the corresponding target duration time are sequentially intercepted from the monitoring video data corresponding to the target construction area and sent to the terminal of the construction site management personnel, so as to efficiently and accurately identify the causes of the target quality problems.

[0013] Optionally, the method further includes: If there is a target construction platform in the construction area, creating a target finite element model corresponding to the target construction platform; Based on the target finite element model, determining an associated position point of a target position point in the target construction platform, wherein the target position point is a construction operation position point in the target construction platform, and the associated position point is a position point in the target construction platform where stress increases when the number of construction personnel at the target position point undergoes a target change; Determine the influence value of the corresponding target position point on the stability of the target construction platform structure according to the stress value of each associated position point corresponding to each target position point and the importance level to the stability of the target construction platform structure; If the impact value is greater than a preset impact value threshold, when the actual change in the number of construction personnel at the corresponding target location point is the target change, a safety warning is issued for the target construction platform.

[0014] By adopting the above technical solution, a target finite element model corresponding to the target construction platform is created, so as to intuitively reflect the stress conditions of each position of the target construction platform. Then, based on the target finite element model, the associated position points of each target position point are determined, so as to determine the associated position points that may affect the stability of the target construction platform structure. Then, according to the stress value of each associated position point and the importance level to the stability of the target construction platform structure, the degree of influence on the stability of the target construction platform structure when the target position point undergoes a target change is analyzed and determined. If the impact value is greater than the impact value threshold, it means that after the number of construction personnel at the corresponding target position point undergoes a target change, the structure of the target construction platform is greatly affected by stress and is prone to instability. Then, when the actual change in the number of construction personnel at the corresponding target position point is the target change, a safety warning is issued, thereby improving the construction safety in the target construction platform.

[0015] Optionally, determining the influence value of the corresponding target position point on the stability of the target construction platform structure according to the stress value of each associated position point corresponding to each target position point and the importance level to the stability of the target construction platform structure specifically includes: Substitute the stress value of each associated position point corresponding to the same target position point and the importance level to the stability of the target construction platform structure into the preset stress value weight calculation formula to obtain the stress value weight of the corresponding associated position point. The stress value weight calculation formula is:

[0016] In the formula, Represents the stress value weight of the associated location point, It indicates the importance level of the position points other than the associated position points, S indicates the stability of the target construction platform structure itself, and β both represent two positive real parameters; The product of the stress value of each associated position point of each target position point and the corresponding stress value weight is calculated and summed to obtain the influence value of the corresponding target position point on the stability of the target construction platform structure.

[0017] By adopting the above technical solution, after calculating the stress value weights of each associated position point corresponding to a single target position point according to the stress value weight calculation formula, the product of the stress value of each associated position point and the stress value weight is calculated and summed to obtain the impact value of the corresponding target position point on the stability of the target construction platform structure after the target change occurs. The larger the impact value, the greater the impact of the corresponding stress increase at each associated position point on the stability of the target construction platform structure, and the greater the risk of instability of the target construction platform.

[0018] Optionally, when the actual change in the number of construction personnel at the corresponding target location point is the target change, issuing a safety warning for the target construction platform specifically includes: When the actual change in the number of construction personnel at the corresponding target location point is the target change, determining the departure time of the construction personnel in the target construction platform from the target construction platform; Counting the number of construction workers whose absence time exceeds a preset time threshold, and determining the warning time according to the number of construction workers, the larger the number of construction workers, the longer the corresponding warning time; A safety warning of the warning duration is issued for the target construction platform.

[0019] By adopting the above technical solution, if the absence time exceeds the preset time threshold, it means that once the target construction platform becomes unstable, the corresponding construction workers will escape for a long time and the safety risk is high. Furthermore, the number of construction workers whose absence time exceeds the time threshold is counted, and the corresponding warning time is matched according to the number of construction workers. The larger the number of construction workers, the greater the safety risk once the target construction platform becomes unstable, and the longer the corresponding warning time. Finally, a safety warning of the warning time is issued for the target construction platform, thereby improving the construction safety in the target construction platform.

[0020] In a second aspect of the present application, a smart construction site supervision device under multi-source data fusion is provided, specifically comprising: A data acquisition module is used to acquire monitoring video data of each construction area in the construction site to be supervised, and to acquire environmental data of the construction site to be supervised and location data of construction personnel; A status determination module is used to fuse the monitoring video data, the environmental data and the construction personnel positioning data through a preset multi-source data fusion algorithm to obtain the current operation status information corresponding to the construction site to be supervised; A monitoring and viewing module, for generating a real-time monitoring interface corresponding to the construction site to be supervised and displaying it in the terminal based on the current operation status information when receiving a monitoring interface viewing instruction sent by a terminal of a construction site manager; The construction site warning module is used to input the current operation status information into a preset construction site operation status prediction model when receiving the construction site warning viewing instruction sent by the terminal of the construction site manager, obtain the safety warning information corresponding to the construction site to be supervised, and send the safety warning information to the terminal.

[0021] By adopting the above technical solution, the data acquisition module obtains the monitoring video data, environmental data and construction personnel positioning data. The status determination module integrates the monitoring video data, environmental data and construction personnel positioning data based on the multi-source data fusion algorithm to obtain the current operation status information. Then the monitoring and viewing module generates a real-time monitoring interface based on the current operation status information and displays it in the terminal. Finally, the construction site early warning module inputs the current operation status information into the construction site operation status prediction model to obtain safety warning information.

[0022] In a third aspect of the present application, a computer-readable storage medium is provided, in which a computer program is stored. When the computer program is loaded and executed by a processor, the method steps described in any one of the first aspects are performed.

[0023] In a fourth aspect of the present application, an electronic device is provided, specifically comprising: A processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein the processor is used to load and execute the computer program stored in the memory so that the electronic device performs the method as described in any one of the first aspects.

[0024] In summary, the present application includes at least one of the following beneficial technical effects: after obtaining the monitoring video data, environmental data and construction personnel positioning data corresponding to the construction site to be supervised, the data from the three sources are fused and processed through a multi-source data fusion algorithm, so as to obtain information that can more comprehensively reflect the operation status of the construction site, that is, the current operation status information. Furthermore, when the construction site manager wants to view the visualization of the operation of the entire construction site, the real-time monitoring interface corresponding to the construction site to be supervised is generated through the current operation status information and displayed in the terminal of the construction site manager; when the construction site manager wants to understand the safety warning information of the construction site, the construction site operation status prediction model is used to predict the future operation status information and determine the safety warning information for the current operation status information, so that the construction site manager can have a more comprehensive supervision of the construction site. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a flowchart of a smart construction site supervision method under multi-source data fusion provided in an embodiment of the present application; Figure 2 It is a flowchart of another smart construction site supervision method under multi-source data fusion provided by an embodiment of the present application; Figure 3 It is a structural schematic diagram of a smart construction site monitoring device under multi-source data fusion provided by an embodiment of the present application; Figure 4 It is a structural schematic diagram of another smart construction site supervision device under multi-source data fusion provided in an embodiment of the present application.

[0026] Explanation of the accompanying drawings: 11. Data acquisition module; 12. Status determination module; 13. Monitoring and viewing module; 14. Construction site early warning module; 15. Problem troubleshooting module; 16. Platform early warning module. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0028] In the description of the embodiments of the present application, words such as "illustrative", "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "illustrative", "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "illustrative", "for example" or "for example" is intended to present related concepts in a concrete way.

[0029] In the description of the embodiments of the present application, the term "and / or" is only a kind of association relationship describing the associated objects, indicating that there may be three kinds of relationships, for example, A and / or B, which can represent: A exists alone, B exists alone, and A and B exist at the same time. In addition, unless otherwise specified, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" can explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0030] See also Figure 1 The present application embodiment discloses a flow chart of a smart construction site supervision method under multi-source data fusion, which can be implemented by a computer program or run on a smart construction site supervision device under multi-source data fusion based on the von Neumann system. The computer program can be integrated into an application or run as an independent tool application, specifically including: S101: Acquire surveillance video data of each construction area in the construction site to be supervised, and acquire environmental data of the construction site to be supervised and location data of construction personnel.

[0031] Specifically, in the embodiments of the present application, the construction site to be supervised refers to a construction site related to a construction project, where the construction status is supervised in real time, such as a civil construction project (apartment buildings, schools, etc.), an industrial construction project (factory buildings, industrial facilities, etc.). In other embodiments, the construction site to be supervised may also be a construction site related to a hydraulic project. The construction site to be supervised includes at least one construction area, and the construction area may be a building under construction including a construction platform, which is a temporary structure built to provide a working space for construction personnel. The construction platform may be a scaffolding construction platform or a steel pipe material construction platform. In other embodiments, the construction area may also be inside a building under construction.

[0032] Furthermore, the embodiment of the present application discloses a method for intelligent construction site supervision under multi-source data fusion, in which the execution subject is a server, and the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers. A feasible way to obtain the construction site to be supervised is: through the preset cameras in each construction area, the server obtains the corresponding monitoring video data. The specific achievable implementation method is: for each construction area in the construction site to be supervised, during the monitoring process through the camera, the target construction operation of the construction personnel is identified from the real-time monitoring video through the preset action recognition model. If the similarity between the target construction operation and the standard construction operation is lower than the similarity threshold, the target construction operation is determined to be a non-standard construction operation, which may cause quality risks to the corresponding construction process, wherein the method for determining the similarity is: mapping the target construction operation and the standard construction operation into a high-dimensional vector space to obtain the corresponding vector, and then calculating the cosine value between the two vectors and determining it as the similarity. Then the camera in this construction area is controlled to switch from normal recording mode to target recording mode for monitoring. The target recording mode is a mode that is easy to observe the details of the monitoring video. In this embodiment of the application, the target recording mode can be a slow recording mode. In other embodiments, it can also be a high-resolution recording mode, so that subsequent personnel can more easily observe the video details.

[0033] Furthermore, the construction process of the construction personnel corresponding to the target construction operation is determined through the BIM model corresponding to the construction site to be supervised, and it is determined as a hidden danger construction process, that is, a construction process that causes quality hazards in the corresponding construction area. Further, based on this hidden danger construction process, the associated target quality hidden danger is determined, and the target quality hidden danger is the construction quality hidden danger that this hidden danger construction process will cause in the construction area with a high probability. A feasible determination method is: select the historical quality hidden danger caused by this hidden danger construction process from the historical quality hidden danger records of this construction area, and count the first occurrence number of each historical quality hidden danger. The larger the first occurrence number, the easier it is to generate the corresponding historical quality hidden danger once a non-standard construction operation occurs in this hidden danger construction process. Finally, according to the order of the first occurrence number from large to small, the first number of historical quality hidden dangers is selected from each historical quality hidden danger and determined as a hidden danger that is easy to occur.

[0034] Furthermore, from the historical monitoring video of the construction process with hidden dangers when the construction area is prone to hidden dangers, determine the historical non-standard construction operations that have appeared in the construction process with hidden dangers, and then count the second occurrence times of each historical non-standard construction operation. The larger the second occurrence times, the more likely it is that the hidden danger will occur when the corresponding historical non-standard construction operation appears in the construction process with hidden dangers. Finally, in the order of the second occurrence times from large to small, select the second number of historical non-standard construction operations from each historical non-standard construction operation to determine it as the corresponding non-standard operation with hidden dangers, that is, the historical non-standard construction operation that is prone to hidden dangers when it occurs. It should be noted that each hidden danger corresponds to at least one non-standard operation with hidden dangers.

[0035] Furthermore, the hidden dangers that are prone to occur in the target construction operation in the corresponding non-standard operations that are prone to exist are determined as key quality hidden dangers, that is, the quality hidden dangers that the target construction operation easily causes in the corresponding construction area. Then calculate the first weight of each key quality hidden danger and the second weight of the corresponding target construction operation. The first weight is the ratio of the first occurrence number of each key quality hidden danger to the sum of the first occurrence number of all hidden dangers that are prone to occur, and the second weight is the ratio of the second occurrence number of the target construction operation corresponding to each key quality hidden danger to the sum of the second occurrence number of all corresponding non-standard operations that are prone to exist. Then calculate the weight product of the first weight of each key quality hidden danger and the second weight of the corresponding target construction operation. The larger the weight product, the more likely it is to cause the corresponding key quality hidden danger when the target construction operation is non-standard. Finally, the key quality hidden danger corresponding to the maximum weight product among the weight products is determined as the target quality hidden danger associated with this target construction operation.

[0036] After the target quality hidden danger is determined, the induced environmental data corresponding to the target quality hidden danger is matched from the preset inducement matching table in the database, that is, the environmental data that may induce the target quality hidden danger in the corresponding construction area. The inducement matching table includes different quality hidden dangers and corresponding hidden danger induced environmental data, which are all set based on human experience. The specific setting is briefly described as follows: based on the historical quality hidden danger occurrence record, the historical environmental data existing when a single quality hidden danger occurs is determined, and the historical environmental data with the largest number of occurrences is determined as the corresponding hidden danger induced environmental data. If there is induced environmental data in the environmental data corresponding to the construction site to be supervised, then the ratio of the number of occurrences of the induced environmental data when the target quality hidden danger occurs to the total number of occurrences of the induced environmental data is determined as the impact level of this induced environmental data on the target quality hidden danger. The higher the impact level, the easier it is for the induced environmental data to induce this target quality hidden danger, the longer the duration of key monitoring is required, and the longer the duration of the target recording mode is. Further, after the duration, the camera of the corresponding construction area is controlled to switch from the target recording mode to the normal recording mode, and monitoring is performed in this way, and finally the monitoring video data of the corresponding construction area is obtained.

[0037] In other embodiments, during the monitoring video data recording process of each construction area, a correspondence is established between the duration of the target recording mode and the corresponding target quality hazard to obtain a time period matching table for the corresponding construction area.

[0038] Furthermore, if a target quality problem occurs in the construction project of the construction area, the associated quality hidden dangers and the corresponding associated levels of the target quality problem are matched in the preset associated matching table. The associated quality hidden dangers are the quality hidden dangers that cause the target quality problem. The higher the associated level, the greater the probability that the corresponding associated quality hidden dangers induce the target quality problem. Among them, the associated matching table includes a combination of different target quality problems and corresponding associated quality hidden dangers and the corresponding associated levels, which are set based on human experience. Further, the construction area where the target quality problem occurs is determined as the target construction area, and the time period matching table corresponding to this target construction area is screened out from each time period matching table, and the target duration corresponding to each associated quality hidden danger is matched therefrom. Finally, according to the order of the associated levels corresponding to the associated quality hidden dangers matching the target duration from large to small, the corresponding target duration video clips are sequentially intercepted from the monitoring video data corresponding to this target construction area, and sent to the terminal of the construction site manager, which can be a smart phone or a personal computer, so that the cause of the occurrence of the target quality problem can be efficiently and accurately checked.

[0039] In addition, environmental data refers to data such as temperature, humidity, and noise at the construction site to be supervised. One feasible way to obtain environmental data is to obtain environmental data through preset temperature sensors, humidity sensors, and noise sensors in the construction site to be supervised. Furthermore, a feasible way to obtain the positioning data of construction personnel is to obtain the corresponding positioning data through the ultra-wideband (UWB) tags worn by construction personnel. It should be noted that the preset cameras, temperature sensors, humidity sensors, noise sensors, and UWB tags of construction personnel are all connected to the server through a wireless network.

[0040] S102: The monitoring video data, environmental data and construction personnel positioning data are fused and processed by a preset multi-source data fusion algorithm to obtain current operation status information corresponding to the construction site to be supervised.

[0041] Specifically, the multi-source data fusion algorithm is mainly based on a variety of similar or heterogeneous information sources, which are combined in space or time according to a specific standard to obtain a consistent interpretation or description of the object being measured, and make the information system have better performance. In an embodiment of the present application, the multi-source data fusion algorithm adopts the Bayesian estimation method, and in other embodiments, the multi-source data fusion algorithm can also adopt the Kalman filtering method. Further, through the multi-source data fusion algorithm, multi-dimensional data from different sources, i.e., monitoring video data, environmental data and construction personnel positioning data, are fused and processed to realize the processing of data from multiple sources, and finally the current operating status information corresponding to the construction site to be supervised is obtained, so as to realize the comprehensive monitoring of the construction site to be supervised. Among them, the current operating status information refers to the current overall operating status of the construction site to be supervised.

[0042] S103: When a monitoring interface viewing instruction is received from the terminal of the construction site manager, a real-time monitoring interface corresponding to the construction site to be supervised is generated based on the current operation status information and displayed in the terminal.

[0043] Specifically, in an embodiment of the present application, a client related to construction site monitoring is installed in the terminal of the construction site manager. If the construction site manager wants to view the overall monitoring status of the construction site, he / she opens the client through the terminal and clicks the "Monitoring Interface View" button on the main interface of the client. The client sends a monitoring interface viewing instruction to the server. After the server receives the monitoring interface viewing instruction, it generates a visual real-time monitoring interface corresponding to the construction site to be supervised based on the current operating status information through the preset Grafana tool, and displays it in the terminal, so as to facilitate the construction site manager to better monitor the construction site situation.

[0044] S104: When receiving the construction site warning check instruction sent by the terminal of the construction site manager, the current operation status information is input into the preset construction site operation status prediction model to obtain the safety warning information corresponding to the construction site to be supervised, and the safety warning information is sent to the terminal.

[0045] Specifically, if the construction site manager wants to view the overall safety warning situation of the construction site, then he clicks the "Construction Site Warning View" button on the main interface of the client through the terminal, and the client sends the construction site warning view instruction to the server. When the server receives the construction site warning view instruction, it inputs the current operation status information into the preset construction site operation status prediction model, obtains the safety warning information corresponding to the construction site to be supervised, and sends the safety warning information to the terminal. Among them, the construction site operation status prediction model can be a trained convolutional neural network model or a trained recurrent neural network model. The training process is specifically: the historical operation status information of the successive time nodes marked with safety warning information is used as a training sample and input into the model for training. This is a prior art and will not be repeated here.

[0046] See also Figure 2 , the embodiment of the present application discloses a flow chart of another smart construction site supervision method under multi-source data fusion, which can be implemented by a computer program or run on a smart construction site supervision device under multi-source data fusion based on the von Neumann system. The computer program can be integrated into an application or run as an independent tool application, specifically including: S201: Acquire surveillance video data of each construction area in the construction site to be supervised, and acquire environmental data of the construction site to be supervised and location data of construction personnel.

[0047] S202: The monitoring video data, environmental data and construction personnel positioning data are fused and processed by a preset multi-source data fusion algorithm to obtain current operation status information corresponding to the construction site to be supervised.

[0048] S203: When a monitoring interface viewing instruction is received from the terminal of the construction site manager, a real-time monitoring interface corresponding to the construction site to be supervised is generated based on the current operation status information and displayed in the terminal.

[0049] S204: When receiving the construction site warning check instruction sent by the terminal of the construction site manager, the current operation status information is input into the preset construction site operation status prediction model to obtain the safety warning information corresponding to the construction site to be supervised, and the safety warning information is sent to the terminal.

[0050] For details, please refer to steps S101-S104, which will not be described in detail here.

[0051] S205: If there is a target construction platform in the construction area, create a target finite element model corresponding to the target construction platform.

[0052] S206: Determine the associated position points of the target position points in the target construction platform based on the target finite element model.

[0053] Specifically, the finite element model (FEM) is a simulation model established when using the finite element analysis method. It is a group of unit combinations that are connected only at nodes, transmit forces only at nodes, and are constrained only at nodes. If there is a target construction platform in the construction area of ​​the construction site to be supervised, in the embodiment of the present application, the target construction platform is a scaffolding construction platform. Then, the three-dimensional model and material information corresponding to the target construction platform are determined through the three-dimensional construction drawings corresponding to the target construction platform, and then this information is input into the finite element analysis software to simulate and restore the three-dimensional geometric model of the target construction platform in the real world. Among them, the finite element analysis software can be ANSYS software or ABAQUS software.

[0054] Furthermore, the distribution of construction personnel at the target position point in the current target construction platform is determined by the camera, and the quality information of the construction personnel is obtained by the preset pressure sensor, and finally the personnel load at the target position point where the construction personnel exist is determined. Then, based on human experience, constraints are imposed on the simulated three-dimensional geometric model to simulate the constraints of the actual structure of the target construction platform, and corresponding personnel loads are imposed on the target position points where the construction personnel exist in the three-dimensional geometric model. Finally, the three-dimensional geometric model is divided into finite element meshes, and the analysis type and solver options are set to obtain the target finite element model corresponding to the target construction platform, thereby intuitively reflecting the stress conditions at various positions of the target construction platform. This is a prior art and will not be repeated here. Among them, the target position point is the construction operation position point in the target construction platform.

[0055] Furthermore, the associated position point is a position point where the stress in the target construction platform increases when the number of construction personnel at the target position point undergoes a target change. In an embodiment of the present application, the target change is a decrease in the number of construction personnel by 1 person. In other embodiments, the target change may also be an increase in the number of construction personnel by 1 person. Based on the target finite element model, a feasible way to determine the associated position point is: by using finite element analysis software, the personnel load of a single target position point in the target finite element model is modified by increasing or decreasing the personnel load by 1 person, that is, simulating the target change to obtain the corresponding adjusted finite element model. Furthermore, the stress value of the same position point is obtained from the target finite element model and the corresponding adjusted finite element model respectively. If the stress value increases after the target change occurs, then it is determined as the associated position point of the target position point.

[0056] S207: Determine the influence value of the corresponding target position point on the stability of the target construction platform structure according to the stress values ​​of the associated position points corresponding to each target position point and the importance level to the stability of the target construction platform structure.

[0057] Specifically, after each associated position point corresponding to a single target position point is determined, the stress value of each associated position point and the importance level to the stability of the target construction platform structure are respectively substituted into the preset stress value weight calculation formula to obtain the stress value weight of the corresponding associated position point, wherein the stress value weight calculation formula is:

[0058] In the formula, Represents the stress value weight of the associated location point, Indicates the importance level of the location points other than the associated location point. It indicates the importance level of the associated location point, S indicates the stability of the target construction platform structure itself, and β are both positive real number parameters. Furthermore, the value of S ranges from 0 to 1. The larger the value, the higher the stability of the target construction platform structure itself. Indicates the influence of the importance level of the associated location point on the corresponding stress value weight, Used to adjust the sensitivity of the importance level to the stress value weight. Indicates the influence of the stability of the target construction platform structure itself on the stress value weight of the associated position point, It is used to adjust the sensitivity of the stability of the target construction platform structure to the stress value weight of the associated position point. The larger the stability S, The smaller, The smaller the value, the more important the associated location point is. The bigger, The larger the denominator The influence of the position points other than the associated position points on their stress value weights is considered to ensure that the weights of the associated position points are more reasonable. +1 can ensure that the denominator will not approach zero due to the small contribution of other position points, thereby avoiding numerical stability problems and making the stress value weights of the associated position points more reasonable and accurate. Among them, the stability of the target construction platform is determined by: using finite element analysis software to evaluate the stability of the three-dimensional geometric model of the target construction platform and obtain the corresponding stability.

[0059] In addition, the greater the importance level, the greater the influence of the stress increase of the corresponding associated position point on the stability of the structure. Specifically, the importance level corresponding to the associated position point is matched from the preset importance level matching table. The importance level matching table includes different position points and corresponding importance levels, which are all set based on human experience. The feasible setting method is: a professional structural engineer sends the importance level of different position points for the stability of the target construction platform structure to the server through the terminal, and the importance level ranges from 0 to 1. Further, the product of the stress value of each associated position point and the stress value weight is calculated and summed to obtain the influence value of the corresponding target position point on the stability of the target construction platform structure. The greater the influence value, the greater the influence of the stress increase of each associated position point on the stability of the target construction platform structure, resulting in a greater risk of instability of the target construction platform.

[0060] In an embodiment of the present application, the target change corresponding to each target position point is the same. In other embodiments, the target change corresponding to each target position point may also be different. The corresponding target change is determined according to the importance level of the target position point to the stability of the target construction platform structure. The larger the importance level, the smaller the corresponding target change, thereby achieving accurate and timely early warning of the stability of the target construction platform structure.

[0061] S208: If the impact value is greater than a preset impact value threshold, when the actual change in the number of construction personnel at the corresponding target location point is a target change, a safety warning is issued for the target construction platform.

[0062] Specifically, if the impact value is greater than the preset impact value threshold, it means that after the number of construction personnel at the corresponding target position point changes to the target, the structure of the target construction platform is greatly affected by stress and is prone to instability. Then, when the actual change in the number of construction personnel at the corresponding target position point is the target change, a safety warning for the target construction platform is issued through the preset broadcasting equipment at the target construction platform to remind the construction personnel to pay attention to prevent the target construction platform from instability. The specific process is: according to the construction three-dimensional image of the target construction platform, the departure trajectory of each construction personnel on the target construction platform from the target construction platform is determined, and then the target construction platform is alerted. And determine the corresponding departure time. If the departure time exceeds the preset time threshold, it means that once the target construction platform becomes unstable, the corresponding construction workers will escape for a long time and the safety risk is high. Furthermore, the number of construction workers whose departure time exceeds the time threshold is counted, and according to the number of construction workers, the corresponding warning time is matched from the preset time matching table. The time matching table includes different numbers of construction workers and corresponding warning times, which are all set based on human experience. The larger the number of construction workers, the longer the corresponding warning time. Finally, a safety warning of the warning time is issued for the target construction platform, thereby improving the construction safety in the target construction platform.

[0063] The implementation principle of the smart construction site supervision method under multi-source data fusion of the embodiment of the present application is as follows: after obtaining the monitoring video data, environmental data and construction personnel positioning data corresponding to the construction site to be supervised, the data from the three sources are fused and processed through a multi-source data fusion algorithm, so as to obtain information that can more comprehensively reflect the operation status of the construction site, that is, the current operation status information. Furthermore, when the construction site manager wants to view the visualization of the operation of the entire construction site, the real-time monitoring interface corresponding to the construction site to be supervised is generated through the current operation status information and displayed in the terminal of the construction site manager; when the construction site manager wants to understand the safety warning information of the construction site, the construction site operation status prediction model is used to predict the future operation status information and determine the safety warning information for the current operation status information, so that the construction site manager can have a more comprehensive supervision of the construction site.

[0064] The following is an embodiment of the device of the present application, which can be used to execute the embodiment of the method of the present application. For details not disclosed in the embodiment of the device of the present application, please refer to the embodiment of the method of the present application.

[0065] See also Figure 3 , which is a schematic diagram of the structure of a smart construction site supervision device under multi-source data fusion provided in an embodiment of the present application. The smart construction site supervision device applied to multi-source data fusion can be implemented as all or part of the device through software, hardware or a combination of both. The device includes a data acquisition module 11, a state determination module 12, a monitoring and viewing module 13 and a construction site early warning module 14.

[0066] The data acquisition module 11 is used to acquire the monitoring video data of each construction area in the construction site to be supervised, and to acquire the environmental data of the construction site to be supervised and the location data of the construction personnel; The status determination module 12 is used to fuse the monitoring video data, environmental data and construction personnel positioning data through a preset multi-source data fusion algorithm to obtain the current operation status information corresponding to the construction site to be supervised; The monitoring and viewing module 13 is used to generate a real-time monitoring interface corresponding to the construction site to be supervised based on the current operation status information and display it in the terminal when receiving a monitoring interface viewing instruction sent by the terminal of the construction site manager; The construction site warning module 14 is used to input the current operation status information into the preset construction site operation status prediction model when receiving the construction site warning viewing instruction sent by the terminal of the construction site manager, obtain the safety warning information corresponding to the construction site to be supervised, and send the safety warning information to the terminal.

[0067] Optionally, the data acquisition module 11 is specifically used for: Obtain the target construction operation of the construction personnel in each construction area of ​​the construction site to be supervised. If the target construction operation is a non-standard construction operation, control the preset camera of the corresponding construction area to switch from the normal recording mode to the target recording mode, where the target recording mode is a mode that is easy to observe the details of the monitoring video; Determine the construction process performed by the construction personnel corresponding to the target construction operation as the hidden danger construction process, and determine the associated target quality hidden danger based on the hidden danger construction process; Determine whether there is any induced environmental data of target quality hidden danger in the environmental data. If so, determine the duration of the target recording mode according to the impact level of the induced environmental data on the target quality hidden danger. The greater the impact level, the longer the corresponding duration. After the duration has passed, the camera is controlled to switch from the target recording mode to the normal recording mode to obtain the monitoring video data of the corresponding construction area.

[0068] Optionally, the data acquisition module 11 is specifically used for: Obtain the historical quality hazards generated by the hidden danger construction process, and count the first occurrence times of each historical quality hazard, and select the first historical quality hazard from each historical quality hazard in descending order of the first occurrence times and determine it as a hazard that is likely to occur; Obtain each historical non-standard construction operation in the hidden danger construction process when the hidden danger occurs, count the second occurrence times of each historical non-standard construction operation, and select the second historical non-standard construction operation from each historical non-standard construction operation in descending order of the second occurrence times to determine it as the corresponding hidden danger prone non-standard operation; Determine the hidden dangers that are prone to occur in the target construction operation in the corresponding non-standard operations that are prone to occur as key quality hidden dangers, and calculate the weight product of the first weight of each key quality hidden danger and the second weight of the corresponding target construction operation, the first weight being the ratio of the first occurrence number of each key quality hidden danger to the sum of the first occurrence numbers of all the hidden dangers that are prone to occur, and the second weight being the ratio of the second occurrence number of the target construction operation corresponding to each key quality hidden danger to the sum of the second occurrence numbers of all the corresponding non-standard operations that are prone to occur; The maximum weight product is selected from each weight product, and the key quality hazard corresponding to the maximum weight product is determined as the associated target quality hazard.

[0069] Optional, such as Figure 4 As shown, the device also includes a problem troubleshooting module 15, which is specifically used to: Establish a corresponding relationship between the duration of the target recording mode in the monitoring video data corresponding to each construction area and the corresponding target quality hidden dangers, and obtain a corresponding time period matching table; When a target quality problem occurs in the construction area, determine the associated quality hazards of the target quality problem, and determine the level of association between each associated quality hazard and the target quality problem; The construction area corresponding to the target quality problem is determined as the target construction area, and the target duration period corresponding to the associated quality hidden danger is matched from the time period matching table corresponding to the target construction area. In order from large to small in terms of the association levels corresponding to the associated quality hidden dangers, the video clips of the corresponding target duration period are sequentially intercepted from the monitoring video data corresponding to the target construction area and sent to the terminal.

[0070] Optionally, the device further includes a platform early warning module 16, which is specifically used to: If there is a target construction platform in the construction area, create a target finite element model corresponding to the target construction platform; Based on the target finite element model, determining the associated position point of the target position point in the target construction platform, the target position point is the construction operation position point in the target construction platform, and the associated position point is the position point where the stress in the target construction platform increases when the number of construction personnel at the target position point changes by a target; According to the stress values ​​of the associated positions corresponding to each target position point and the importance level to the stability of the target construction platform structure, the influence value of the corresponding target position point on the stability of the target construction platform structure is determined; If the impact value is greater than the preset impact value threshold, when the actual change in the number of construction personnel at the corresponding target location point is the target change, a safety warning is issued for the target construction platform.

[0071] Optionally, the platform early warning module 16 is specifically used for: Substitute the stress value of each associated position point corresponding to the same target position point and the importance level to the stability of the target construction platform structure into the preset stress value weight calculation formula to obtain the stress value weight of the corresponding associated position point. The stress value weight calculation formula is: ; In the formula, Represents the stress value weight of the associated location point, It indicates the importance level of the position points other than the associated position points, S indicates the stability of the target construction platform structure itself, and β both represent two positive real parameters; The product of the stress value of each associated position point of each target position point and the corresponding stress value weight is calculated and summed to obtain the influence value of the corresponding target position point on the stability of the target construction platform structure.

[0072] Optionally, the platform early warning module 16 is specifically used for: When the actual change in the number of construction personnel at the corresponding target location point is the target change, determining the departure time of the construction personnel in the target construction platform from the target construction platform; Count the number of construction workers whose absence time exceeds the preset time threshold, and determine the warning time according to the number of construction workers. The larger the number of construction workers, the longer the corresponding warning time. A safety warning with a certain warning duration is issued for the target construction platform.

[0073] It should be noted that the smart construction site supervision device under multi-source data fusion provided in the above embodiment only uses the division of the above-mentioned functional modules as an example when executing the smart construction site supervision method under multi-source data fusion. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the equipment is divided into different functional modules to complete all or part of the functions described above. In addition, the smart construction site supervision device under multi-source data fusion provided in the above embodiment and the smart construction site supervision method under multi-source data fusion embodiment belong to the same concept. The implementation process is detailed in the method embodiment, which will not be repeated here.

[0074] An embodiment of the present application also discloses a computer-readable storage medium, and the computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, a smart construction site supervision method under multi-source data fusion of the above-mentioned embodiment is adopted.

[0075] Among them, the computer program can be stored in a computer-readable medium, the computer program includes computer program code, the computer program code can be in the form of source code, object code, executable file or certain middleware, etc. The computer-readable medium includes any entity or device that can carry the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the computer-readable medium includes but is not limited to the above-mentioned components.

[0076] Among them, through this computer-readable storage medium, a smart construction site supervision method under multi-source data fusion of the above embodiment is stored in a computer-readable storage medium, and is loaded and executed on a processor to facilitate the storage and application of the above method.

[0077] An embodiment of the present application also discloses an electronic device, in which a computer program is stored in a computer-readable storage medium. When the computer program is loaded and executed by a processor, the above-mentioned smart construction site supervision method under multi-source data fusion is adopted.

[0078] The electronic device may be a desktop computer, a laptop computer, a cloud server or other electronic device, and the electronic device includes but is not limited to a processor and a memory. For example, the electronic device may also include input and output devices, a network access device, and a bus.

[0079] Among them, the processor can adopt a central processing unit (CPU). Of course, according to actual usage, other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. can also be adopted. The general-purpose processor can adopt a microprocessor or any conventional processor, etc., and this application does not impose any restrictions on this.

[0080] Among them, the memory can be an internal storage unit of the electronic device, such as a hard disk or memory of the electronic device, or it can be an external storage device of the electronic device, such as a plug-in hard disk, a smart memory card (SMC), a secure digital card (SD) or a flash memory card (FC) equipped on the electronic device. Moreover, the memory can also be a combination of an internal storage unit and an external storage device of the electronic device. The memory is used to store computer programs and other programs and data required by the electronic device. The memory can also be used to temporarily store data that has been output or is to be output, and this application does not impose any restrictions on this.

[0081] Among them, through this electronic device, a smart construction site supervision method under multi-source data fusion of the above-mentioned embodiment is stored in the memory of the electronic device, and is loaded and executed on the processor of the electronic device for easy use.

[0082] The above is only an exemplary embodiment of the present disclosure, and the scope of the present disclosure cannot be limited thereto. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the specification and practicing the disclosure here, those skilled in the art will easily think of other embodiments of the present disclosure. This application is intended to cover any modification, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the technical field not recorded in the present disclosure. The description and examples are only regarded as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A smart construction site supervision method based on multi-source data fusion, characterized in that: The method comprises: Obtain monitoring video data of each construction area in the construction site to be supervised, and obtain environmental data of the construction site to be supervised and location data of construction personnel; By using a preset multi-source data fusion algorithm, the monitoring video data, the environmental data and the construction personnel positioning data are fused and processed to obtain the current operation status information corresponding to the construction site to be supervised; Upon receiving a monitoring interface viewing instruction sent by a terminal of a construction site manager, generating a real-time monitoring interface corresponding to the construction site to be supervised based on the current operation status information and displaying it in the terminal; When a construction site warning check instruction is received from the terminal of the construction site manager, the current operation status information is input into the preset construction site operation status prediction model to obtain the safety warning information corresponding to the construction site to be supervised, and the safety warning information is sent to the terminal.

2. The intelligent construction site supervision method under multi-source data fusion according to claim 1 is characterized in that: The obtaining of monitoring video data of each construction area in the construction site to be supervised specifically includes: Obtain the target construction operation of the construction personnel in each construction area of ​​the construction site to be supervised. If the target construction operation is a non-standard construction operation, control the preset camera of the corresponding construction area to switch from the normal recording mode to the target recording mode, where the target recording mode is a mode that is easy to observe the details of the monitoring video; Determine the construction process performed by the construction personnel corresponding to the target construction operation as a hidden danger construction process, and determine the associated target quality hidden danger based on the hidden danger construction process; Determine whether there is any inducing environmental data of the target quality hidden danger in the environmental data, and if so, determine the duration of the target recording mode according to the impact level of the inducing environmental data on the target quality hidden danger, wherein the greater the impact level, the longer the corresponding duration; After the duration, the camera is controlled to switch from the target recording mode to the normal recording mode to obtain monitoring video data of the corresponding construction area.

3. The intelligent construction site supervision method under multi-source data fusion according to claim 2 is characterized in that: The determining of the associated target quality hazards based on the hidden danger construction process specifically includes: Obtaining historical quality hazards generated by the hazardous construction process, and counting the first occurrence times of each of the historical quality hazards, and selecting the first historical quality hazard from each of the historical quality hazards in descending order of the first occurrence times and determining it as a hazard that is likely to occur; Obtaining each of the historical non-standard construction operations in the hidden danger construction process when the hidden danger occurs, counting the second occurrence times of each of the historical non-standard construction operations, and selecting the second number of historical non-standard construction operations from each of the historical non-standard construction operations in descending order of the second occurrence times to determine as the corresponding hidden danger prone non-standard operation; Determine the hidden dangers that are prone to occur in the target construction operation in the corresponding non-standard operations that are prone to occur as key quality hidden dangers, and calculate the weight product of the first weight of each of the key quality hidden dangers and the second weight of the corresponding target construction operation, wherein the first weight is the ratio of the first occurrence number of each of the key quality hidden dangers to the sum of the first occurrence numbers of all the hidden dangers that are prone to occur, and the second weight is the ratio of the second occurrence number of the target construction operation corresponding to each of the key quality hidden dangers to the sum of the second occurrence numbers of all the corresponding non-standard operations that are prone to occur; A maximum weight product is selected from the weight products, and the key quality hazard corresponding to the maximum weight product is determined as the associated target quality hazard.

4. The intelligent construction site supervision method under multi-source data fusion according to claim 2 is characterized in that: The method further comprises: Establish a corresponding relationship between the duration of the target recording mode in the monitoring video data corresponding to each construction area and the corresponding target quality hidden danger, and obtain a corresponding time period matching table; In the case where a target quality problem occurs in the construction area, determining the associated quality hazards of the target quality problem, and determining the level of association between each of the associated quality hazards and the target quality problem; The construction area corresponding to the target quality problem is determined as the target construction area, and the target duration period corresponding to the associated quality hidden danger is matched from the time period matching table corresponding to the target construction area. In order from large to small association levels corresponding to the associated quality hidden dangers, video clips of the corresponding target duration period are sequentially intercepted from the monitoring video data corresponding to the target construction area and sent to the terminal.

5. The intelligent construction site supervision method under multi-source data fusion according to claim 1 is characterized in that: The method further comprises: If there is a target construction platform in the construction area, creating a target finite element model corresponding to the target construction platform; Based on the target finite element model, determining an associated position point of a target position point in the target construction platform, wherein the target position point is a construction operation position point in the target construction platform, and the associated position point is a position point in the target construction platform where stress increases when the number of construction personnel at the target position point undergoes a target change; Determine the influence value of the corresponding target position point on the stability of the target construction platform structure according to the stress value of each associated position point corresponding to each target position point and the importance level to the stability of the target construction platform structure; If the impact value is greater than a preset impact value threshold, when the actual change in the number of construction personnel at the corresponding target location point is the target change, a safety warning is issued for the target construction platform.

6. The intelligent construction site supervision method under multi-source data fusion according to claim 5 is characterized in that: Determining the influence value of the corresponding target position point on the stability of the target construction platform structure according to the stress value of each associated position point corresponding to each target position point and the importance level to the stability of the target construction platform structure specifically includes: Substitute the stress value of each associated position point corresponding to the same target position point and the importance level to the stability of the target construction platform structure into the preset stress value weight calculation formula to obtain the stress value weight of the corresponding associated position point. The stress value weight calculation formula is: ； In the formula, Represents the stress value weight of the associated location point, It indicates the importance level of the position points other than the associated position points, S indicates the stability of the target construction platform structure itself, and β both represent two positive real parameters; The product of the stress value of each associated position point of each target position point and the corresponding stress value weight is calculated and summed to obtain the influence value of the corresponding target position point on the stability of the target construction platform structure.

7. The intelligent construction site supervision method under multi-source data fusion according to claim 5 is characterized in that: When the actual change in the number of construction personnel at the corresponding target location point is the target change, a safety warning is issued for the target construction platform, specifically including: When the actual change in the number of construction personnel at the corresponding target location point is the target change, determining the departure time of the construction personnel in the target construction platform from the target construction platform; Counting the number of construction workers whose absence time exceeds a preset time threshold, and determining the warning time according to the number of construction workers, the larger the number of construction workers, the longer the corresponding warning time; A safety warning of the warning duration is issued for the target construction platform.

8. A smart construction site monitoring device based on multi-source data fusion, characterized in that: include: A data acquisition module (11) is used to acquire monitoring video data of each construction area in the construction site to be supervised, and to acquire environmental data of the construction site to be supervised and location data of construction personnel; A state determination module (12) is used to fuse the monitoring video data, the environmental data and the construction personnel positioning data using a preset multi-source data fusion algorithm to obtain current operation state information corresponding to the construction site to be supervised; A monitoring and viewing module (13) is used to generate a real-time monitoring interface corresponding to the construction site to be supervised based on the current operation status information and display it in the terminal when receiving a monitoring interface viewing instruction sent by a terminal of a construction site manager; The construction site early warning module (14) is used to input the current operation status information into a preset construction site operation status prediction model when receiving a construction site early warning viewing instruction sent by a terminal of a construction site manager, obtain safety early warning information corresponding to the construction site to be supervised, and send the safety early warning information to the terminal.

9. A computer-readable storage medium having a computer program stored therein, characterized in that: When the computer program is loaded and executed by a processor, the method according to any one of claims 1 to 7 is adopted.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that: When the processor loads and executes the computer program, the method according to any one of claims 1 to 7 is adopted.

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