Digital construction site quality inspection method, equipment, medium and product

Abstract

The invention particularly relates to a digital construction site quality inspection method and device, a medium and a product, and the method comprises the steps: carrying out the inspection region division based on a digital construction site layout map and inspection resource characteristics, and determining an unmanned aerial vehicle inspection region and a personnel inspection region. And then, performing a first inspection plan based on the unmanned aerial vehicle inspection area and the first inspection demand, and determining an unmanned aerial vehicle inspection plan. And meanwhile, performing a second inspection plan based on the personnel inspection area and the second inspection demand, and determining a personnel inspection plan. And finally, performing construction quality analysis based on the first inspection data acquired by the unmanned aerial vehicle terminal, the second inspection data acquired by the handheld terminal and the manual judgment conclusion, and generating a construction quality evaluation report. In the on-site quality inspection process, the mode of combining unmanned aerial vehicle inspection and personnel handheld terminal inspection is adopted, it is ensured that an unmanned aerial vehicle terminal and inspection personnel can give full play to respective inspection advantages, and comprehensiveness and high efficiency of inspection are achieved.

Description

Technical Field

[0001] The present application relates to the technical field of quality inspection, and in particular to a digital construction site quality inspection method, equipment, medium and product. Background Art

[0002] In the current engineering construction field, the traditional quality inspection method mainly relies on manual inspection, that is, the inspectors record the quality of the construction site with paper and pen, and report and review after discovering problems. However, the traditional inspection method requires information to be passed up layer by layer, resulting in a slow reporting speed of inspection information and difficulty in tracing responsibilities later. This makes it difficult to make timely and effective rectification and handling when problems are discovered, thus affecting the quality and progress of engineering projects.

[0003] In order to overcome the shortcomings of traditional inspection methods, a digital site quality inspection method using handheld mobile terminals has emerged in recent years. This method uses intelligent and digital on-site inspection management to achieve real-time entry, upload and storage of inspection data, greatly improving inspection efficiency and data accuracy. However, due to the limited number of inspectors and the fact that construction sites are often large in area and complex in structure, it is difficult for inspectors to conduct detailed inspections of all key areas in a short period of time, so the digital site quality inspection method using handheld mobile terminals still has the disadvantage of incomplete inspections.

[0004] Therefore, how to improve the comprehensiveness of digital construction site quality inspections is an urgent problem to be solved by technical personnel in this field. Summary of the invention

[0005] The purpose of this application is to provide a digital construction site quality inspection method, equipment, medium and product to solve at least one of the above technical problems.

[0006] The above invention objectives of the present application are achieved through the following technical solutions: In a first aspect, the present application provides a digital construction site quality inspection method, which adopts the following technical solution: A digital construction site quality inspection method, comprising: Obtaining a digital construction site layout map and inspection resource characteristics, dividing the inspection area based on the digital construction site layout map and the inspection resource characteristics, and determining a drone inspection area and a personnel inspection area; Perform a first inspection plan based on the drone inspection area and a first inspection requirement corresponding to the drone inspection area, determine the drone inspection plan, and send the drone inspection plan to the drone terminal; Performing a second inspection plan based on the personnel inspection area and the second inspection demand corresponding to the personnel inspection area, determining the personnel inspection plan, and sending the personnel inspection plan to a handheld terminal of the inspection personnel; The first inspection data collected by the drone terminal and the second inspection data collected by the handheld terminal and the manual judgment conclusion are obtained in real time, and a construction quality analysis is performed based on the first inspection data, the second inspection data and the manual judgment conclusion to generate a construction quality assessment report.

[0007] By adopting the above technical solution, the inspection area is divided based on the digital construction site layout map and the inspection resource characteristics, and the drone inspection area and the personnel inspection area are determined. Then, the first inspection plan is made based on the drone inspection area and the first inspection demand corresponding to the drone inspection area, the drone inspection plan is determined, and the drone inspection plan is sent to the drone terminal. At the same time, the second inspection plan is made based on the personnel inspection area and the second inspection demand corresponding to the personnel inspection area, the personnel inspection plan is determined, and the personnel inspection plan is sent to the handheld terminal of the inspection personnel. Finally, the construction quality analysis is performed based on the first inspection data collected by the drone terminal, the second inspection data collected by the handheld terminal and the manual judgment conclusion, and a construction quality assessment report is generated. In the process of on-site quality inspection, the combination of drone inspection and personnel handheld terminal inspection is adopted. According to the actual situation of the construction site and the inspection needs, the inspection area and inspection tasks are reasonably allocated to the drone and the inspection personnel, ensuring that the drone terminal and the inspection personnel can give full play to their respective inspection advantages and achieve comprehensiveness and efficiency of the inspection.

[0008] In a preferred example, the present application may be further configured as follows: performing construction quality analysis based on the first inspection data, the second inspection data and the manual judgment conclusion to generate a construction quality assessment report includes: Using image recognition and analysis technology, perform construction quality inspection on the first inspection data collected by the drone terminal to determine the construction quality inspection result; Verify the judgment conclusion based on the second inspection data and the manual judgment conclusion to determine the construction quality verification result; A construction quality analysis is performed based on the construction quality detection results and the construction quality verification results to generate a construction quality assessment report.

[0009] In a preferred example, the present application may be further configured as follows: the inspection area division based on the digital construction site layout map and the inspection resource characteristics, and the determination of the drone inspection area and the personnel inspection area include: Extract key characteristics based on the inspection resource characteristics, determine regional division characteristics, and perform preliminary regional division on the digital construction site layout map based on the regional division characteristics to determine multiple division areas to be inspected; Based on the inspection resource characteristics of drone inspection and personnel inspection advantages, multi-dimensional advantage matching is performed with the plurality of divided areas to be inspected to determine an advantage matching result; The inspection area is divided based on the multiple areas to be inspected and the advantage matching results to determine the drone inspection area and the personnel inspection area, wherein the drone inspection area is the area corresponding to a single drone flight inspection, and the personnel inspection area is the area corresponding to a single inspection personnel on-site inspection.

[0010] In a preferred example, the present application can be further configured as follows: the inspection area division is performed based on the multiple to-be-inspected divided areas and the advantage matching results, and the drone inspection area and the personnel inspection area are determined, including: Determine the inspection object based on the advantage matching result and the multiple divided areas to be inspected, and obtain the inspection object corresponding to each divided area to be inspected, wherein the inspection object includes: the drone and the inspection personnel; When the inspection object corresponding to the target divided area to be inspected is the drone, the flight performance of the drone terminal is obtained, and the inspection area is optimized based on the flight performance and the target divided area to be inspected, and the drone inspection area is determined, wherein the target divided area to be inspected is any area in the divided area to be inspected; When the inspection object corresponding to the target divided area to be inspected is the inspection personnel, the manual inspection capability index of the inspection personnel is obtained, and the inspection area is optimized based on the manual inspection capability index and the target divided area to be inspected, so as to determine the personnel inspection area, wherein the target divided area to be inspected is any area in the divided area to be inspected.

[0011] In a preferred example, the present application may be further configured as follows: after the construction quality analysis is performed based on the first inspection data, the second inspection data and the manual judgment conclusion and a construction quality assessment report is generated, the configuration further includes: Performing abnormal screening based on the construction quality assessment report to determine abnormal construction quality information; Acquire a digital construction site model, and use holographic projection technology to perform three-dimensional visualization of the digital construction site model to determine a three-dimensional image of the virtual construction site; Abnormal marking is performed based on the abnormal construction quality information and the three-dimensional image of the virtual construction site, so that maintenance personnel can intuitively view the abnormal quality conditions in the digital construction site.

[0012] In a preferred example, the present application may be further configured as follows: after performing abnormal screening based on the construction quality assessment report and determining abnormal construction quality information, the application may further include: Selecting a traceability device based on the abnormal construction quality information and determining the abnormal traceability device; Acquire the backtracking monitoring information corresponding to the construction quality abnormality information from the abnormality tracing device, perform abnormality backtracking based on the backtracking monitoring information, and determine the source time of the quality abnormality.

[0013] In a second aspect, the present application provides an electronic device, which adopts the following technical solution: at least one processor; Memory; At least one application, wherein the at least one application is stored in the memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the above-mentioned digital construction site quality inspection method.

[0014] In a third aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium stores a computer program, which, when executed in a computer, causes the computer to execute a digital construction site quality inspection method.

[0015] In a fourth aspect, the present application provides a computer program product, which adopts the following technical solution: A computer program product includes a computer program, and when the computer program is executed by a processor, the digital construction site quality inspection method is implemented.

[0016] In summary, the present application includes at least one of the following beneficial technical effects: Based on the digital construction site layout map and inspection resource characteristics, the inspection area is divided to determine the drone inspection area and the human inspection area. Then, the first inspection plan is made based on the drone inspection area and the first inspection demand corresponding to the drone inspection area, the drone inspection plan is determined, and the drone inspection plan is sent to the drone terminal. At the same time, the second inspection plan is made based on the human inspection area and the second inspection demand corresponding to the human inspection area, the human inspection plan is determined, and the human inspection plan is sent to the handheld terminal of the inspector. Finally, the construction quality analysis is performed based on the first inspection data collected by the drone terminal, the second inspection data collected by the handheld terminal, and the manual judgment conclusion, and a construction quality assessment report is generated. In the process of on-site quality inspection, a combination of drone inspection and human handheld terminal inspection is adopted. According to the actual situation of the construction site and the inspection needs, the inspection area and inspection tasks are reasonably allocated to the drone and the inspectors, ensuring that the drone terminal and the inspectors can give full play to their respective inspection advantages and achieve comprehensiveness and efficiency of the inspection.

[0017] Based on the inspection resource characteristics, key characteristics are extracted to determine the regional division characteristics. Based on the regional division characteristics, the digital construction site layout map is preliminarily divided into regions to determine multiple division areas to be inspected. Then, based on the inspection resource characteristics, the advantages of drone inspection and personnel inspection are matched with multiple division areas to be inspected in multiple dimensions to determine the advantage matching results. Furthermore, based on multiple division areas to be inspected and the advantage matching results, the inspection area is divided to determine the drone inspection area and the personnel inspection area, where the drone inspection area is the area corresponding to the flight inspection of a single drone, and the personnel inspection area is the area corresponding to the on-site inspection of a single inspection personnel. The execution of inspection area division is used to allocate areas that are highly adapted to the inspection advantages of drone terminals and inspection personnel, which helps to ensure the rationality and efficiency of the subsequent inspection task allocation. Each of them is responsible for the inspection tasks in their areas of expertise, which can ensure the accuracy and efficiency of the inspection work and improve the efficiency of the on-site quality inspection of the construction site. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a flowchart of a digital construction site quality inspection method according to one embodiment of the present application; Figure 2 It is a structural schematic diagram of a digital construction site quality inspection system according to one embodiment of the present application; Figure 3 It is a structural schematic diagram of an electronic device according to one embodiment of the present application. DETAILED DESCRIPTION

[0019] The following combination Figures 1 to 3 This application is described in further detail.

[0020] This specific embodiment is merely an explanation of the present application and is not a limitation of the present application. After reading this specification, a person skilled in the art may make non-creative modifications to the present embodiment as needed, but such modifications are protected by the patent law as long as they are within the scope of the present application.

[0021] In order to make the purpose, technical scheme and advantages of the embodiment of the present application clearer, the technical scheme in the embodiment of the present application will be clearly and completely described in conjunction with the drawings in the embodiment of the present application. Obviously, the described embodiment is a part of the embodiment of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application. It should be noted that in the optional embodiments of the present application, the object information and other related data involved, when the embodiments in the present application are applied to specific products or technologies, need to obtain the permission or consent of the object, and the collection, use and processing of the relevant data need to comply with the relevant laws, regulations and standards of the relevant countries and regions. In other words, if the data related to the object is involved in the embodiment of the present application, it needs to be obtained through the authorization and consent of the object, the authorization and consent of the relevant departments, and in accordance with the relevant laws, regulations and standards of the country and region. If personal information is involved in the embodiment, the acquisition of all personal information needs to obtain the consent of the individual. If sensitive information is involved, the separate consent of the information subject needs to be obtained, and the embodiment also needs to be implemented with the authorization and consent of the object.

[0022] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0023] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0024] The embodiment of the present application provides a digital construction site quality inspection method, which is executed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited to this. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, and the embodiment of the present application does not limit this. Figure 1As shown, the method includes step S101, step S102, step S103 and step S104, wherein: Step S101: Obtain a digital construction site layout map and inspection resource characteristics, divide the inspection area based on the digital construction site layout map and the inspection resource characteristics, and determine the drone inspection area and the personnel inspection area.

[0025] For the embodiments of the present application, the construction site quality inspection method in the related art only introduces intelligent and digital on-site inspection management to realize the real-time entry, upload and storage of inspection data. However, due to the priority of the number of inspection personnel and the fact that the construction site is often large in area and complex in structure, the digital construction site quality inspection method using a handheld mobile terminal still has the disadvantage of incomplete inspection. In order to solve the technical defect of incomplete inspection in the digital construction site quality inspection method using a handheld mobile terminal, the embodiments of the present application adopt a combination of drone inspection and handheld terminal inspection by personnel in the process of performing construction site quality inspection. According to the actual situation of the construction site and the inspection needs, inspection areas and inspection tasks are reasonably allocated to drones and inspection personnel, ensuring that drone terminals and inspection personnel can give full play to their respective inspection advantages and realize the comprehensiveness and efficiency of inspection.

[0026] Specifically, a digital construction site layout map is obtained. The digital map layout map is used to display the spatial layout of the construction site in detail, including but not limited to: information such as the location, size, height, and other information of the building, as well as the distribution of elements such as roads, equipment, and construction areas. The digital construction site layout map helps to quickly understand the overall structure of the construction site; the inspection resource characteristics are used to characterize the inspection advantages corresponding to different types of inspection objects. For example, drone terminal inspections facilitate the acquisition of a panoramic view of the construction site, which helps to allocate and discover safety hazards and quality problems that are difficult to observe on the ground for different inspection objects; drone terminals have a fast inspection speed and can quickly cover large areas of construction sites; inspection personnel can inspect construction site details at close range, such as welding quality, material conditions, etc., to discover potential quality problems and safety hazards. Inspection resource characteristics help to allocate inspection areas that highly match the advantages of different inspection objects to improve the comprehensiveness and accuracy of subsequent on-site quality inspections of construction sites.

[0027] Furthermore, based on the digital construction site layout map and inspection resource characteristics, the inspection area is divided, the drone inspection area and the personnel inspection area are determined, and the inspection area division is performed to allocate areas that are highly adapted to their inspection advantages to the drone terminals and inspection personnel, which helps to ensure the rationality and efficiency of the subsequent inspection task allocation. Each is responsible for the inspection tasks in their areas of expertise, which can ensure the accuracy and efficiency of the inspection work and improve the work efficiency of the on-site quality inspection of the construction site. As for the number of drone inspection areas and personnel inspection areas, it can be one, two, three or more. This is no longer limited in the embodiments of the present application and can be set according to the actual situation of the construction site. There are many specific implementation processes for the inspection area division, which are no longer limited in the embodiments of the present application. In one feasible method, key characteristics are extracted based on the inspection resource characteristics to determine the area division characteristics, and based on the area division characteristics, the digital construction site layout map is preliminarily divided into areas to be inspected to determine multiple areas to be inspected; based on the drone inspection advantage characteristics and personnel inspection advantage characteristics in the inspection resource characteristics, multi-dimensional advantage matching is performed with multiple areas to be inspected to determine the advantage matching results; based on multiple areas to be inspected and the advantage matching results, the inspection area is divided to determine the drone inspection area and the personnel inspection area, wherein the drone inspection area is the area corresponding to a single drone flight inspection, and the personnel inspection area is the area corresponding to a single inspection personnel on-site inspection.

[0028] Step S102: Perform a first inspection plan based on the drone inspection area and the first inspection requirement corresponding to the drone inspection area, determine the drone inspection plan, and send the drone inspection plan to the drone terminal.

[0029] For the embodiment of the present application, the drone inspection area is usually a construction site area with large area, high-altitude viewing angle monitoring, flat and open terrain, etc. The first inspection demand corresponding to the drone inspection area is usually determined based on the characteristics and importance of the drone inspection area, wherein the first inspection demand includes but is not limited to: inspection frequency, resolution requirements, shooting angle, problems to be detected, etc. Then, the first inspection plan is carried out based on the drone inspection area and the first inspection demand, and the drone inspection plan is determined. The specific implementation process of the first inspection plan is as follows: Based on the drone inspection area and the inspection demand, the path planning algorithm (for example, A* algorithm, Dijkstra algorithm or heuristic search algorithm) is used to plan the optimal inspection path for the drone. The path should ensure that the drone can efficiently cover all drone inspection areas, and at the same time, it can avoid the drone from colliding with obstacles on the construction site (for example, tower cranes, scaffolding, etc.) during flight. Then, according to the first inspection requirement, the inspection task corresponding to the drone is determined. The inspection task is used to characterize the working parameters that the drone needs to follow during the flight inspection, such as flight altitude, shooting angle, shooting material type, sensor working type, etc. At the same time, the optimal flight time for the drone inspection can also be determined based on the working hours and weather conditions at the construction site. Finally, the drone inspection plan is obtained by integrating the inspection route, inspection working parameters and inspection flight time of the drone, and the drone inspection plan is sent to the drone terminal to control the drone terminal to perform flight inspection according to the standards of the drone inspection plan. During the flight inspection, the drone takes photos or videos of the construction site according to the requirements of the working parameters and collects environmental data.

[0030] Step S103: Perform a second inspection plan based on the personnel inspection area and the second inspection demand corresponding to the personnel inspection area, determine the personnel inspection plan, and send the personnel inspection plan to the handheld terminal of the inspection personnel.

[0031] For the embodiment of the present application, the personnel inspection area is usually a work area with the characteristics of detail observation requirements, complex terrain, high building density, etc. The second inspection requirement corresponding to the personnel inspection area is determined based on the characteristics of the personnel inspection area and business requirements, wherein the second inspection requirement includes but is not limited to: inspection frequency, inspection content, inspection standards, etc. Then, the second inspection planning is carried out based on the personnel inspection area and the second inspection requirement corresponding to the personnel inspection area, and the personnel inspection planning is determined. The specific implementation process of the second inspection planning is as follows: obtain the available inspection personnel information, and match the appropriate inspection personnel for each personnel inspection area based on the skill level and the status of the handheld terminal device in the available inspection personnel information. Then, obtain the importance and urgency of the inspection tasks in each personnel inspection area, and prioritize the inspection tasks so that the inspection tasks with high priority can be executed first. Then, based on the priority ranking of the inspection tasks in the personnel inspection area and the second inspection requirement, the inspection planning is carried out, and a reasonable inspection route and schedule are determined to ensure that the inspection personnel can inspect according to the scheduled time and route, thereby improving work efficiency and coverage. At the same time, based on the area type of the personnel inspection area, the inspection standards corresponding to each inspection task in the personnel inspection area are determined, which helps the inspection personnel to clarify their responsibilities and requirements. Finally, the personnel inspection plan is obtained by integrating the corresponding relationship between the personnel inspection area and the inspection personnel, the priority ranking of the inspection tasks, the inspection route and schedule, and the inspection standards corresponding to each inspection task. Then, the personnel inspection plan is sent to the handheld terminal of the inspection personnel to prompt the inspection personnel to conduct on-site personnel inspections according to the standards of the personnel inspection plan. During the on-site inspection of the personnel, the inspection personnel take photos or videos of the construction site according to the requirements of the inspection standards and collect environmental data.

[0032] Step S104: Acquire the first inspection data collected by the drone terminal and the second inspection data collected by the handheld terminal and the manual judgment conclusion in real time, and perform construction quality analysis based on the first inspection data, the second inspection data and the manual judgment conclusion to generate a construction quality assessment report.

[0033] For the embodiment of the present application, the electronic device is connected to the drone terminal and the handheld terminal by wireless communication, so that the electronic device can obtain the first inspection data collected by the drone terminal and the second inspection data collected by the handheld terminal and the manual judgment conclusion in real time, wherein the manual judgment conclusion is the site quality judgment result given by the inspection personnel for the second inspection data using their professional knowledge and long-term accumulated work experience. Further, the construction quality analysis is performed based on the first inspection data, the second inspection data and the manual judgment conclusion, and a construction quality assessment report is generated. The construction quality assessment report can timely and comprehensively reflect the latest situation of the construction site, which helps the construction site management personnel to timely discover and solve construction quality problems. There are many ways to implement the construction quality analysis, which are no longer limited in the embodiment of the present application. In a feasible way, the first inspection data collected by the drone terminal is inspected for construction quality by using image recognition and analysis technology to determine the construction quality inspection result; the judgment conclusion is verified based on the second inspection data and the manual judgment conclusion to determine the construction quality verification result; the construction quality analysis is performed based on the construction quality inspection result and the construction quality verification result to generate a construction quality assessment report.

[0034] It can be seen that in the embodiment of the present application, the inspection area is divided based on the digital construction site layout map and the inspection resource characteristics, and the drone inspection area and the personnel inspection area are determined. Then, the first inspection plan is carried out based on the drone inspection area and the first inspection demand corresponding to the drone inspection area, the drone inspection plan is determined, and the drone inspection plan is sent to the drone terminal. At the same time, the second inspection plan is carried out based on the second inspection demand corresponding to the personnel inspection area and the personnel inspection area, the personnel inspection plan is determined, and the personnel inspection plan is sent to the handheld terminal of the inspection personnel. Finally, the construction quality analysis is carried out based on the first inspection data collected by the drone terminal and the second inspection data collected by the handheld terminal and the manual judgment conclusion, and a construction quality assessment report is generated. In the process of on-site quality inspection, a combination of drone inspection and personnel handheld terminal inspection is adopted. According to the actual situation of the construction site and the inspection needs, the inspection area and inspection tasks are reasonably allocated to the drone and the inspection personnel, ensuring that the drone terminal and the inspection personnel can give full play to their respective inspection advantages and achieve the comprehensiveness and efficiency of the inspection.

[0035] Furthermore, in order to timely and comprehensively reflect the latest situation of the construction site, and to help the construction site management personnel to timely discover and solve construction quality problems, in the embodiment of the present application, the construction quality analysis is performed based on the first inspection data, the second inspection data and the manual judgment conclusion, and a construction quality assessment report is generated, including: Use image recognition and analysis technology to conduct construction quality inspection on the first inspection data collected by the drone terminal and determine the construction quality inspection results; Verify the judgment conclusion based on the second inspection data and the manual judgment conclusion to determine the construction quality verification result; Conduct construction quality analysis based on the construction quality inspection results and construction quality verification results, and generate a construction quality assessment report.

[0036] For the embodiment of the present application, in the quality inspection method, the use of drone terminals for flight inspection can complete the data collection and processing of the drone inspection area in a short time, which can significantly shorten the inspection cycle and greatly improve the inspection efficiency, making the inspection work more efficient and convenient. Then, the first inspection data collected by the drone terminal is inspected for construction quality using image recognition and analysis technology to determine the construction quality inspection results, wherein the use of image recognition and analysis technology can quickly and accurately identify quality problems in construction, such as cracks, falling off, dislocation, etc. This automatic detection method is more objective and accurate than manual detection, and can reduce misjudgments and missed judgments caused by human factors. The specific implementation process for construction quality detection is as follows: The first inspection data is the image data of the drone taking and recording the drone inspection area in all directions according to the specified inspection route, inspection working parameters and inspection flight time. Therefore, the first inspection data is preprocessed to improve the image quality in the first inspection data, and the preprocessing includes but is not limited to: image denoising, image enhancement and image segmentation. Then, feature extraction is performed based on the preprocessed first inspection data to obtain key image features, which are features that can characterize the construction quality of the construction site, including but not limited to: shape features (for example, geometric characteristics of quality problems such as cracks and peeling), texture features, and color features. Then, a construction quality detection model is obtained, which is obtained by training the classification recognition algorithm based on a training set of a large number of known quality detection results, and the construction quality detection model and key image features are used to perform construction quality detection, and the results output by the construction quality detection model are used as construction quality detection results, wherein the construction quality detection results include: quality detection conclusions, quality anomaly types, quality anomaly locations, etc.

[0037] The on-site inspection results of the inspectors may be affected by various factors such as the inspectors' skill level and fatigue level, resulting in a certain error between the manual judgment conclusion and the actual situation. In order to improve the accuracy of the on-site inspection results of the inspectors, the judgment conclusion is verified based on the second inspection data and the manual judgment conclusion to determine the construction quality verification result. The judgment conclusion verification operation is introduced to further verify the accuracy and reliability of the manual judgment conclusion. This double verification mechanism helps to ensure the accurate assessment of the construction quality. The specific implementation process of the judgment conclusion verification is as follows: using image recognition and analysis technology, the second inspection data collected by the handheld terminal is used for construction quality inspection, the construction quality inspection results are determined, and the judgment conclusion is verified based on the construction quality inspection results and the manual judgment conclusion. If the two conclusions are consistent, the manual judgment conclusion is recorded as the construction quality verification result; if the two conclusions are inconsistent, the second inspection data is sent to the secondary manual review terminal, and the result of the secondary manual review is recorded as the construction quality verification result. Finally, the construction quality analysis is performed based on the construction quality inspection results and the construction quality verification results to generate a construction quality assessment report, which includes but is not limited to: project overview, construction quality results, quality defect assessment level, rectification suggestions, etc. The construction quality analysis is performed in the construction site quality inspection method to generate a construction quality assessment report, which can timely and comprehensively reflect the latest situation of the construction site, and help the construction site management personnel to timely discover and solve construction quality problems.

[0038] It can be seen that in the embodiment of the present application, the image recognition and analysis technology is used to perform construction quality inspection on the first inspection data collected by the drone terminal to determine the construction quality inspection result. At the same time, the judgment conclusion is verified based on the second inspection data and the manual judgment conclusion to determine the construction quality verification result. Finally, a construction quality analysis is performed based on the construction quality inspection results and the construction quality verification results to generate a construction quality assessment report. The construction quality analysis is performed to generate a construction quality assessment report, which can timely and comprehensively reflect the latest situation of the construction site, and help site managers to promptly discover and solve construction quality problems.

[0039] Furthermore, in order to allocate areas that are highly adapted to the inspection advantages of drone terminals and inspection personnel, which helps to ensure the rationality and efficiency of subsequent inspection task allocation, in an embodiment of the present application, the inspection area is divided based on the digital construction site layout map and inspection resource characteristics, and the drone inspection area and the personnel inspection area are determined, including: Extract key features based on inspection resource characteristics, determine regional division characteristics, and perform preliminary regional division on the digital construction site layout map based on regional division characteristics to determine multiple division areas to be inspected; Based on the inspection resource characteristics of drone inspection and personnel inspection advantages, multi-dimensional advantage matching is performed with multiple inspection areas to be inspected to determine the advantage matching results; The inspection area is divided based on multiple areas to be inspected and the advantage matching results to determine the drone inspection area and the personnel inspection area. The drone inspection area is the area corresponding to a single drone flight inspection, and the personnel inspection area is the area corresponding to a single inspection personnel on-site inspection.

[0040] For the embodiments of the present application, drone inspection and inspection by inspection personnel each have their own unique advantages. For example, drones can quickly cover large areas and conduct efficient inspections of high and hard-to-reach places; while personnel inspections can provide more detailed and in-depth on-site inspections. Therefore, the execution of inspection area division is used to allocate areas that are highly adapted to the inspection advantages of drone terminals and inspection personnel, which helps to ensure the rationality and efficiency of the subsequent inspection task allocation. Each is responsible for the inspection tasks in their areas of expertise, which can ensure the accuracy and efficiency of the inspection work and improve the work efficiency of on-site quality inspections on construction sites.

[0041] Specifically, the inspection resource characteristics are used to characterize the inspection advantages corresponding to different types of inspection objects, which helps to allocate inspection areas that are highly matched with their advantages to different inspection objects, so as to improve the comprehensiveness and accuracy of subsequent on-site quality inspections of construction sites, wherein the inspection resource characteristics include: the advantages of drone inspections and the advantages of personnel inspections. The embodiments of the present application are no longer limited to the specific content of the inspection resource characteristics. For example, the advantages of drone inspections include: open and flat terrain, low building density, large area, and high-angle inspection requirements; the advantages of personnel inspections include: complex terrain, high building density, detailed inspection requirements, and small area. Therefore, key characteristics are extracted based on the inspection resource characteristics to determine the regional division characteristics, which reflect the regional characteristics of drone inspection work and inspection personnel inspection work that are highly matched, such as terrain characteristics, building density characteristics, and equipment inspection requirements. Then, based on the regional division characteristics, the digital construction site layout map is preliminarily divided into regions to determine multiple division areas to be inspected. The preliminary regional division is used to roughly divide the digital construction site according to each dimension in the regional division characteristics to obtain multiple division areas to be inspected, wherein the division areas to be inspected are large-area inspection areas with similar geographical features or inspection needs. Then, based on the advantages of drone inspection and personnel inspection in the inspection resource characteristics, multi-dimensional advantage matching is performed with multiple division areas to be inspected to determine the advantage matching result. The advantage matching result records the corresponding relationship between each division area to be inspected and the inspection resource, that is, it is determined whether the division area to be inspected is inspected by drone or by inspection personnel.

[0042] However, since drones have endurance issues and inspectors are affected by physical exhaustion and work efficiency, it is necessary to divide multiple areas to be inspected into inspection areas according to the flight performance of drone terminals and the manual inspection ability indicators of inspectors, and determine drone inspection areas and personnel inspection areas. The drone inspection area is the area corresponding to a single drone flight inspection, and the personnel inspection area is the area corresponding to a single inspector's on-site inspection. Inspection area division is used to divide a large area of ​​areas to be inspected into small drone inspection areas or personnel inspection areas. By reasonably dividing the inspection areas, it is possible to avoid frequent takeoffs and landings of drones due to endurance limitations, and to avoid inspectors' work efficiency being affected by excessive physical exhaustion, so that each inspection method can work in its most suitable environment, thereby improving the inspection efficiency of digital construction site quality inspections.

[0043] It can be seen that in the embodiment of the present application, key characteristics are extracted based on the inspection resource characteristics, the regional division characteristics are determined, and based on the regional division characteristics, the digital construction site layout map is preliminarily divided into regions, and multiple division areas to be inspected are determined. Then, based on the advantages of the UAV inspection and the advantages of the personnel inspection in the inspection resource characteristics, multi-dimensional advantage matching is performed with multiple division areas to be inspected, and the advantage matching results are determined. Furthermore, the inspection area division is performed based on multiple division areas to be inspected and the advantage matching results, and the UAV inspection area and the personnel inspection area are determined, wherein the UAV inspection area is the area corresponding to the flight inspection of a single UAV, and the personnel inspection area is the area corresponding to the on-site inspection of a single inspection personnel. The execution of the inspection area division is used to allocate areas that are highly adapted to their inspection advantages to the UAV terminal and the inspection personnel, which helps to ensure the rationality and efficiency of the subsequent inspection task allocation. Each of them is responsible for the inspection tasks in their areas of expertise, which can ensure the accuracy and efficiency of the inspection work and improve the work efficiency of the on-site quality inspection of the construction site.

[0044] Furthermore, in order to avoid frequent takeoff and landing of drones due to flight limitations, and to prevent inspection personnel from affecting their work efficiency due to excessive physical exertion, in an embodiment of the present application, inspection areas are divided based on multiple areas to be inspected and advantage matching results, and drone inspection areas and personnel inspection areas are determined, including: Determine the inspection object based on the advantage matching result and the multiple divided areas to be inspected, and obtain the inspection object corresponding to each divided area to be inspected, wherein the inspection object includes: drones and inspection personnel; When the inspection object corresponding to the target area to be inspected is a drone, the flight performance of the drone terminal is obtained, and the inspection area is optimized based on the flight performance and the target area to be inspected, and the drone inspection area is determined, wherein the target area to be inspected is any area in the area to be inspected; When the inspection object corresponding to the target area to be inspected is an inspection personnel, the manual inspection capability index of the inspection personnel is obtained, and the inspection area is optimized based on the manual inspection capability index and the target area to be inspected to determine the personnel inspection area, wherein the target area to be inspected is any area in the area to be inspected.

[0045] For the embodiments of the present application, the inspection area division is used to divide a large area to be inspected into small drone inspection areas or personnel inspection areas. By reasonably dividing the inspection areas, it is possible to avoid frequent take-off and landing of drones due to endurance limitations, and the inspection personnel's work efficiency being affected due to excessive physical exertion, so that each inspection method can work in its most suitable environment, thereby improving the inspection efficiency of digital construction site on-site quality inspections.

[0046] Specifically, the inspection object is determined based on the advantage matching result and multiple divided areas to be inspected, and the inspection object corresponding to each divided area to be inspected is obtained, wherein the inspection objects include: drones and inspection personnel. When the inspection object corresponding to the target divided area to be inspected is a drone, the flight performance of the drone terminal is obtained, and the flight performance includes but is not limited to: flight endurance, flight speed, flight altitude, and camera parameters. Then, the inspection area is optimized based on the flight performance and the target divided area to be inspected, and the drone inspection area is determined, wherein the target divided area to be inspected is any area in the divided area to be inspected. The specific process for optimizing the inspection area is as follows: based on the flight endurance in the flight performance and the target divided area to be inspected, the feasibility of a single drone flight is judged. If a single drone is feasible, the inspection area is optimized based on the flight obstacles in the target divided area to be inspected, so as to obtain an area after eliminating obstacles that affect the drone flight inspection, which is recorded as the drone inspection area. If a single drone is not feasible, the inspection area is divided based on the flight endurance and the target area to be inspected, and multiple small drone inspection areas with sufficient endurance are obtained.

[0047] When the inspection object corresponding to the target area to be inspected is an inspection personnel, obtain the manual inspection capability index of the inspection personnel, which includes but is not limited to: physical consumption index, moving speed index and work efficiency index, etc. Then, based on the manual inspection capability index and the target area to be inspected, optimize the inspection area and determine the personnel inspection area, wherein the target area to be inspected is any area in the area to be inspected. The specific process for the above inspection area optimization is as follows: perform a physical consumption assessment based on the terrain features in the target area to be inspected, and determine the physical consumption assessment result, that is, the slope, obstacles, road conditions and area in the inspection area will affect the physical consumption of the inspection personnel; then, based on the physical consumption assessment result, divide the large area of ​​the target area to be inspected into multiple personnel inspection areas.

[0048] It can be seen that in the embodiment of the present application, the inspection object is determined based on the advantage matching result and multiple divided areas to be inspected, and the inspection object corresponding to each divided area to be inspected is obtained. When the inspection object corresponding to the target divided area to be inspected is a drone, the flight performance of the drone terminal is obtained, and the inspection area is optimized based on the flight performance and the target divided area to be inspected, and the drone inspection area is determined; at the same time, when the inspection object corresponding to the target divided area to be inspected is an inspection personnel, the manual inspection ability index of the inspection personnel is obtained, and the inspection area is optimized based on the manual inspection ability index and the target divided area to be inspected, and the personnel inspection area is determined. By reasonably dividing the inspection area, it is possible to avoid the drone from taking off and landing frequently due to the limitation of the endurance, and the inspection personnel from affecting the work efficiency due to excessive physical exertion, so that each inspection method can work in its most suitable environment, thereby improving the inspection efficiency of the digital construction site on-site quality inspection.

[0049] Furthermore, in order to make quality problems on the construction site easier to be discovered and viewed, and to help maintenance personnel quickly locate the location of quality abnormalities, in the embodiment of the present application, after the construction quality analysis is performed based on the first inspection data, the second inspection data and the manual judgment conclusion, and the construction quality assessment report is generated, it also includes: Perform abnormal screening based on the construction quality assessment report to determine abnormal construction quality information; Obtain a digital construction site model, use holographic projection technology to visualize the digital construction site model in three dimensions, and determine the three-dimensional image of the virtual construction site; Abnormal marking is performed based on construction quality abnormality information and three-dimensional images of the virtual construction site, so that maintenance personnel can intuitively view the quality abnormality conditions in the digital construction site.

[0050] For the embodiments of the present application, in order to make quality problems on the construction site easier to be discovered and viewed, it is helpful for maintenance personnel to quickly locate the location of quality anomalies. Therefore, a digital construction site model is obtained and combined with holographic projection technology, a three-dimensional visualization of the current status of the construction site is achieved, so that the quality anomalies on the construction site can be displayed in an intuitive and three-dimensional manner, so that maintenance personnel can adjust and optimize the location of quality anomalies in a timely manner, which helps to avoid the problem from escalating and further reduce potential economic losses.

[0051] Specifically, anomaly screening is performed based on the construction quality assessment report to determine the abnormal information of construction quality. That is, the electronic device pre-stores the abnormal screening standard. For example, the problem with the quality defect assessment level of "serious" or "relatively serious" is regarded as abnormal. Therefore, the abnormal screening standard is compared and screened with the construction quality assessment report one by one, and all construction quality problems that meet the abnormal standards are marked. The screened abnormal information is classified and sorted according to the abnormal type to determine the abnormal information of construction quality. Then, a digital construction site model is obtained. The digital construction site model is based on a three-dimensional coordinate system. According to a certain proportional relationship, the shape, size, and proportion of the digital construction site in three directions (length, width, and height) are accurately displayed. The digital construction site model can accurately represent the geometric shape, spatial relationship, and attribute information of the construction site, and provide strong support for the quality inspection of the digital construction site. Holographic projection technology is based on the principles of interference and diffraction. It realizes three-dimensional visualization by recording and reproducing the real three-dimensional image of the object. Therefore, the hardware equipment required for holographic projection is pre-deployed, such as holographic projection equipment, laser transmitter, holographic film, etc., and the quality and performance of the equipment are ensured to meet the requirements of three-dimensional visualization of the digital construction site model. Then, the digital construction site model is imported into the holographic projection device, and the projection parameters are adjusted to ensure that the three-dimensional digital construction site model can be clearly presented in the holographic projection, and a three-dimensional image of the virtual construction site is obtained. Finally, abnormal marking is performed based on the construction quality abnormality information and the three-dimensional image of the virtual construction site, so that maintenance personnel can intuitively view the quality abnormality conditions in the digital construction site. The virtual reality scene after the abnormal marking can intuitively simulate various quality abnormalities in the digital construction site. Maintenance personnel can enter the virtual reality scene through the interactive device to intuitively view the quality abnormalities in the digital construction site, which improves the maintenance personnel's cognitive speed and understanding depth of quality abnormality problems, helps to formulate maintenance plans faster, and perform subsequent maintenance operations more skillfully and accurately.

[0052] It can be seen that in the embodiment of the present application, anomaly screening is performed based on the construction quality assessment report to determine the abnormal construction quality information. In order to make quality problems on the construction site easier to be discovered and viewed, and to help maintenance personnel quickly locate the location of quality abnormalities, the digital construction site model is visualized in three dimensions using holographic projection technology to determine the three-dimensional image of the virtual construction site. Furthermore, based on the abnormal construction quality information and the three-dimensional image of the virtual construction site, abnormal marking is performed to facilitate maintenance personnel to intuitively view the abnormal quality conditions in the digital construction site, and to adjust and optimize the abnormal quality locations in a timely manner, which helps to avoid the expansion of problems and further reduce potential economic losses.

[0053] Furthermore, in order to improve the efficiency of handling quality abnormality problems, in the embodiment of the present application, after performing abnormality screening based on the construction quality assessment report and determining the construction quality abnormality information, it also includes: Select the source equipment based on the abnormal construction quality information and determine the abnormal source equipment; Obtain the backtracking monitoring information corresponding to the abnormal construction quality information from the abnormality tracing equipment, perform abnormality backtracking based on the backtracking monitoring information, and determine the source time of the quality abnormality.

[0054] For the embodiment of the present application, in order to improve the efficiency of handling abnormal quality problems and avoid blind investigation and ineffective work in locating the source of the problem, in the embodiment of the present application, the traceability equipment selection and abnormal backtracking operations are used to help accurately locate the source of the abnormal quality problems and formulate targeted solutions and maintenance measures, which greatly improves the efficiency of handling abnormal quality problems and reduces the losses and impacts caused by delays in abnormal quality problems.

[0055] Specifically, based on the abnormal construction quality information, the source tracing device is selected to determine the abnormal source tracing device. The abnormal source tracing device is an information collection device that records the working status of the abnormal quality equipment in the abnormal construction quality information. The device types of the abnormal source tracing device include but are not limited to: image acquisition devices, various sensors, etc. Then, the backtracking monitoring information corresponding to the abnormal construction quality information is obtained from the abnormal source tracing device, wherein the backtracking monitoring information is the equipment working status information recorded by the abnormal source tracing device from the current moment to the preset time length interval before. The size of the preset time length is set by the technicians based on a large number of experimental operations and long-term experience. This embodiment of the present application is no longer limited. Then, based on the backtracking monitoring information, the abnormal backtracking is performed to determine the source moment of the quality abnormality. The abnormal backtracking is used to filter out the moment when the abnormal quality equipment just begins to have an abnormal working state from the backtracking monitoring information, which helps to collect relevant data before and after the source moment of the quality abnormality in a targeted manner, and provides an important reference for the targeted formulation of solutions and maintenance measures. Compared with blind investigation and repair, it greatly improves the processing efficiency of quality abnormality problems and reduces the losses and impacts caused by the delay of quality abnormality problems.

[0056] It can be seen that in the embodiment of the present application, in order to improve the efficiency of handling quality abnormality problems and avoid blind investigation and ineffective work in locating the source of the problem, the traceability equipment is selected based on the construction quality abnormality information, the abnormal traceability equipment is determined, and the backtracking monitoring information corresponding to the construction quality abnormality information is obtained from the abnormal traceability equipment. The abnormality is traced back based on the backtracking monitoring information to determine the source time of the quality abnormality.

[0057] The above embodiment introduces a digital construction site quality inspection method from the perspective of method flow, and the following embodiment introduces a digital construction site quality inspection system from the perspective of a virtual module or a virtual unit. For details, please refer to the following embodiment.

[0058] The present application embodiment provides a digital construction site quality inspection system, such as Figure 2 As shown, the digital construction site quality inspection system may specifically include: The inspection area division module 210 is used to obtain the digital construction site layout map and inspection resource characteristics, divide the inspection area based on the digital construction site layout map and inspection resource characteristics, and determine the drone inspection area and the personnel inspection area; A first inspection planning module 220, for performing a first inspection planning based on the drone inspection area and the first inspection requirement corresponding to the drone inspection area, determining the drone inspection planning, and sending the drone inspection planning to the drone terminal; The second inspection planning module 230 is used to perform a second inspection planning based on the personnel inspection area and the second inspection requirements corresponding to the personnel inspection area, determine the personnel inspection planning, and send the personnel inspection planning to the handheld terminal of the inspection personnel; The construction quality analysis module 240 is used to obtain in real time the first inspection data collected by the drone terminal and the second inspection data collected by the handheld terminal and the manual judgment conclusion, and perform construction quality analysis based on the first inspection data, the second inspection data and the manual judgment conclusion to generate a construction quality assessment report.

[0059] In a possible implementation of the embodiment of the present application, the construction quality analysis module 240, when performing construction quality analysis based on the first inspection data, the second inspection data and the manual judgment conclusion to generate a construction quality assessment report, is used to: Use image recognition and analysis technology to conduct construction quality inspection on the first inspection data collected by the drone terminal and determine the construction quality inspection results; Verify the judgment conclusion based on the second inspection data and the manual judgment conclusion to determine the construction quality verification result; Conduct construction quality analysis based on the construction quality inspection results and construction quality verification results, and generate a construction quality assessment report.

[0060] In a possible implementation of the embodiment of the present application, the inspection area division module 210 is used to: Extract key features based on inspection resource characteristics, determine regional division characteristics, and perform preliminary regional division on the digital construction site layout map based on regional division characteristics to determine multiple division areas to be inspected; Based on the inspection resource characteristics of drone inspection and personnel inspection advantages, multi-dimensional advantage matching is performed with multiple inspection areas to be inspected to determine the advantage matching results; The inspection area is divided based on multiple areas to be inspected and the advantage matching results to determine the drone inspection area and the personnel inspection area. The drone inspection area is the area corresponding to a single drone flight inspection, and the personnel inspection area is the area corresponding to a single inspection personnel on-site inspection.

[0061] In a possible implementation of the embodiment of the present application, the inspection area division module 210 is used to: Determine the inspection object based on the advantage matching result and the multiple divided areas to be inspected, and obtain the inspection object corresponding to each divided area to be inspected, wherein the inspection object includes: drones and inspection personnel; When the inspection object corresponding to the target area to be inspected is a drone, the flight performance of the drone terminal is obtained, and the inspection area is optimized based on the flight performance and the target area to be inspected, and the drone inspection area is determined, wherein the target area to be inspected is any area in the area to be inspected; When the inspection object corresponding to the target area to be inspected is an inspection personnel, the manual inspection capability index of the inspection personnel is obtained, and the inspection area is optimized based on the manual inspection capability index and the target area to be inspected to determine the personnel inspection area, wherein the target area to be inspected is any area in the area to be inspected.

[0062] A possible implementation of the embodiment of the present application also includes: A three-dimensional visualization presentation module is used to screen out abnormalities based on the construction quality assessment report and determine abnormal construction quality information; Obtain a digital construction site model, use holographic projection technology to visualize the digital construction site model in three dimensions, and determine the three-dimensional image of the virtual construction site; Abnormal marking is performed based on construction quality abnormality information and three-dimensional images of the virtual construction site, so that maintenance personnel can intuitively view the quality abnormality conditions in the digital construction site.

[0063] A possible implementation of the embodiment of the present application also includes: The abnormality backtracking module is used to select the source equipment based on the abnormal construction quality information and determine the abnormal source equipment; Obtain the backtracking monitoring information corresponding to the abnormal construction quality information from the abnormality tracing equipment, perform abnormality backtracking based on the backtracking monitoring information, and determine the source time of the quality abnormality.

[0064] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the digital construction site quality inspection system described above can refer to the corresponding process in the aforementioned method embodiment and will not be repeated here.

[0065] An electronic device is provided in an embodiment of the present application, such as Figure 3 As shown, Figure 3 The electronic device 300 shown includes: a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the electronic device 300 does not constitute a limitation on the embodiments of the present application.

[0066] The processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0067] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but it does not mean that there is only one bus or only one type of bus.

[0068] The memory 303 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0069] The memory 303 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the contents shown in the above method embodiment.

[0070] The electronic devices include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Figure 3 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0071] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment.

[0072] An embodiment of the present application provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the method in any of the above embodiments is implemented.

[0073] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0074] The above are only some implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A digital construction site quality inspection method, characterized in that: include: Obtaining a digital construction site layout map and inspection resource characteristics, dividing the inspection area based on the digital construction site layout map and the inspection resource characteristics, and determining a drone inspection area and a personnel inspection area; Perform a first inspection plan based on the drone inspection area and a first inspection requirement corresponding to the drone inspection area, determine the drone inspection plan, and send the drone inspection plan to the drone terminal; Performing a second inspection plan based on the personnel inspection area and the second inspection demand corresponding to the personnel inspection area, determining the personnel inspection plan, and sending the personnel inspection plan to a handheld terminal of the inspection personnel; The first inspection data collected by the drone terminal and the second inspection data collected by the handheld terminal and the manual judgment conclusion are obtained in real time, and a construction quality analysis is performed based on the first inspection data, the second inspection data and the manual judgment conclusion to generate a construction quality assessment report.

2. The digital construction site quality inspection method according to claim 1, characterized in that: The performing of construction quality analysis based on the first inspection data, the second inspection data and the manual judgment conclusion to generate a construction quality assessment report includes: Using image recognition and analysis technology, perform construction quality inspection on the first inspection data collected by the drone terminal to determine the construction quality inspection result; Verify the judgment conclusion based on the second inspection data and the manual judgment conclusion to determine the construction quality verification result; A construction quality analysis is performed based on the construction quality detection results and the construction quality verification results to generate a construction quality assessment report.

3. The digital construction site quality inspection method according to claim 1, characterized in that: The dividing of inspection areas based on the digital construction site layout map and the inspection resource characteristics to determine the drone inspection area and the personnel inspection area includes: Extract key characteristics based on the inspection resource characteristics, determine regional division characteristics, and perform preliminary regional division on the digital construction site layout map based on the regional division characteristics to determine multiple division areas to be inspected; Based on the inspection resource characteristics of drone inspection and personnel inspection advantages, multi-dimensional advantage matching is performed with the plurality of divided areas to be inspected to determine an advantage matching result; The inspection area is divided based on the multiple areas to be inspected and the advantage matching results to determine the drone inspection area and the personnel inspection area, wherein the drone inspection area is the area corresponding to a single drone flight inspection, and the personnel inspection area is the area corresponding to a single inspection personnel on-site inspection.

4. The digital construction site quality inspection method according to claim 3 is characterized in that: The method of dividing the inspection area based on the plurality of the to-be-inspected divided areas and the advantage matching results, and determining the drone inspection area and the personnel inspection area, comprises: Determine the inspection object based on the advantage matching result and the multiple divided areas to be inspected, and obtain the inspection object corresponding to each divided area to be inspected, wherein the inspection object includes: the drone and the inspection personnel; When the inspection object corresponding to the target divided area to be inspected is the drone, the flight performance of the drone terminal is obtained, and the inspection area is optimized based on the flight performance and the target divided area to be inspected, and the drone inspection area is determined, wherein the target divided area to be inspected is any area in the divided area to be inspected; When the inspection object corresponding to the target divided area to be inspected is the inspection personnel, the manual inspection capability index of the inspection personnel is obtained, and the inspection area is optimized based on the manual inspection capability index and the target divided area to be inspected, so as to determine the personnel inspection area, wherein the target divided area to be inspected is any area in the divided area to be inspected.

5. The digital construction site quality inspection method according to claim 1, characterized in that: After the construction quality analysis is performed based on the first inspection data, the second inspection data and the manual judgment conclusion to generate a construction quality assessment report, the method further includes: Perform abnormal screening based on the construction quality assessment report to determine abnormal construction quality information; Acquire a digital construction site model, and use holographic projection technology to perform three-dimensional visualization of the digital construction site model to determine a three-dimensional image of the virtual construction site; Abnormal marking is performed based on the abnormal construction quality information and the three-dimensional image of the virtual construction site, so that maintenance personnel can intuitively view the abnormal quality conditions in the digital construction site.

6. The digital construction site quality inspection method according to claim 5, characterized in that: After performing abnormal screening based on the construction quality assessment report and determining abnormal construction quality information, the method further includes: Selecting a traceability device based on the abnormal construction quality information and determining the abnormal traceability device; Acquire the backtracking monitoring information corresponding to the construction quality abnormality information from the abnormality tracing device, perform abnormality backtracking based on the backtracking monitoring information, and determine the source time of the quality abnormality.

7. An electronic device, characterized in that: include: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the digital construction site quality inspection method according to any one of claims 1 to 6.

8. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed in a computer, the computer is caused to execute the digital construction site quality inspection method according to any one of claims 1 to 6.

9. A computer program product, characterized in that The method comprises a computer program, wherein the computer program is executed by a processor to implement the digital construction site quality inspection method according to any one of claims 1 to 6.

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