Construction site supervision monitoring system and monitoring method based on unmanned aerial vehicle technology

Abstract

The invention relates to the technical field of construction management, and discloses a construction site supervision monitoring system and method based on an unmanned aerial vehicle technology, and the system comprises an image collection module which sets a plurality of construction progress nodes according to a construction plan, carries out the image collection of a supervised construction site through an unmanned aerial vehicle, and carries out the monitoring of the construction progress nodes. The collected construction image special parameters are extracted and matched to the corresponding real-time construction progress completion amount; and the analysis processing module is used for setting a first-level work delay threshold value and obtaining an error work hour number through the qualified construction progress increase value and the real-time work hour of each work hour. According to the method, after the construction progress enters the lower half area, the system can estimate the fastest completion amount of each working hour according to historical data, and the estimated fastest time consumption is calculated according to the estimated fastest completion amount. The process enables the management personnel to more clearly master the feasibility of the current construction, and can make reactions such as adjusting the resources of the construction personnel in advance according to the pre-estimation result.

Description

Technical Field

[0001] The present invention relates to the technical field of construction management, and particularly to a construction site supervision and monitoring system and a monitoring method based on unmanned aerial vehicle technology. Background Art

[0002] During the construction process of a building project, a series of management behaviors and measures for supervising, inspecting, and controlling construction activities. Its main purpose is to ensure that the project is carried out in accordance with the design requirements, safety codes, and construction schedule, and to guarantee the project quality and construction safety.

[0003] Regarding the control of the construction progress at the construction site, monitoring the construction progress, and promptly discovering and solving the problems of lagging progress can ensure that the project is completed on time and avoid project delays. The traditional management method is generally to send supervisors to the construction site regularly for inspections, check the actual progress of each work, compare it with the plan, or have construction personnel submit progress reports regularly to record the completion of each stage.

[0004] However, the above methods rely on manual inspections and manual data entry, which may lead to delays or errors in the feedback of construction progress information. Moreover, in the actual construction site, short-term work delays and subsequent catch-up work phenomena often occur due to uncontrollable factors such as weather conditions, material shortages, and equipment failures. Traditional progress control is often based on a static progress plan and lacks the ability of dynamic adjustment, making it difficult to effectively estimate whether the construction progress can be completed on time.

[0005] Therefore, the present invention provides a construction site supervision and monitoring system and a monitoring method based on unmanned aerial vehicle technology. Summary of the Invention

[0006] Aiming at the problems existing in the above-mentioned prior art, the purpose of the present invention is to provide a construction site supervision and monitoring system and a monitoring method based on unmanned aerial vehicle technology, so as to be able to effectively estimate whether the construction work can be completed within the construction period when unexpected factors cause work delays during the construction process, and make timely reminders and responses.

[0007] To achieve the above purpose, the present invention provides the following technical solutions: A construction site supervision and monitoring system based on unmanned aerial vehicle technology, comprising:

[0008] An image acquisition module, the image acquisition module includes setting a plurality of construction progress nodes according to the construction plan, and using an unmanned aerial vehicle to perform image acquisition on the supervised construction site, extracting the special parameters of the acquired construction images, and matching to the corresponding real-time construction progress completion amount;

[0009] Analysis and processing module. The analysis and processing module includes setting a first-level delay threshold, obtaining the number of error man-hours by the qualified construction progress growth value per man-hour and the real-time man-hours, comparing the number of error man-hours with the first-level delay threshold, and making corresponding reminders according to the comparison result;

[0010] Abnormality identification module. The abnormality identification module includes setting a second-level delay threshold and dividing the total man-hours of the construction plan into upper and lower halves. When the man-hours used exceed half of the planned man-hours, it enters the lower half, and the system then uses the second-level delay threshold to monitor the project progress;

[0011] Abnormality reminder module. The abnormality reminder module includes that when the number of error man-hours is greater than the second-level delay threshold, the estimated fastest time required will be obtained according to the fastest completion amount per man-hour, and the estimated fastest time required will be compared with the real-time remaining man-hours, and corresponding reactions will be made according to the comparison result.

[0012] In some embodiments, the specific method for obtaining the qualified construction progress growth value per man-hour is: obtaining the qualified construction progress growth value per man-hour by the total number of construction progress nodes Js and the total man-hours Jt of the construction plan

[0013] In some embodiments, the specific way to obtain the number of error man-hours is: according to the real-time man-hours Sg and the qualified construction progress growth value Zj per man-hour, the real-time qualified progress Hj = Sg × Zj is obtained, and then the difference between the real-time qualified progress Hj and the real-time construction progress completion amount Sw analyzed from the image features collected by the drone is obtained to get the progress difference Cz = Hj - Sw. When the result of the progress difference is greater than zero, the system will obtain the number of error man-hours through the progress difference Cz and the qualified construction progress growth value Zj per man-hour

[0014] In some embodiments, the number of error man-hours is compared with the first-level delay threshold. If the number of error man-hours is less than or equal to the first-level delay threshold, it means that the current construction progress is within an acceptable range and no processing is required; if the number of error man-hours is greater than the first-level delay threshold, it means that the current construction progress has significantly lagged behind the construction progress plan. The system generates a delay report and sends it to the construction project management personnel to prompt the construction progress delay situation, so that the construction project management personnel can make timely responses.

[0015] In some embodiments, the man-hours used at the start of the construction plan belong to the upper half, and the system uses the first-level delay threshold to monitor the project progress, and the number of error man-hours is compared with the first-level delay threshold in the analysis and processing module; when the man-hours used exceed half of the planned man-hours, it enters the lower half, and the system then uses the second-level delay threshold to monitor the project progress, and the number of error man-hours is compared with the second-level delay threshold in the analysis and processing module.

[0016] In some embodiments, by performing feature extraction and analysis on the images collected by the unmanned aerial vehicle (UAV) during each working hour, one of the working hours with the largest number of completed construction progress nodes is obtained among all the completed working hours, and the number of construction progress nodes completed during the working hour is set as the fastest completion amount for each working hour.

[0017] In some embodiments, the specific method for obtaining the estimated fastest time used is as follows: The difference between the total number of construction progress nodes Js and the real-time construction progress completion amount Sw is calculated to obtain the remaining progress node number Nj = Js - Sw, and then the estimated fastest time used is obtained by dividing the remaining progress node number Nj by the fastest completion amount Fu for each working hour.

[0018] In some embodiments, a comparison is made between the estimated fastest time used and the real-time remaining working hours: When the estimated fastest time used is less than or equal to the real-time remaining working hours, the system only generates a delay report to alert the construction project management personnel; when the estimated fastest time used is greater than the real-time remaining working hours, the system sends a warning to the construction project management personnel that there is a serious progress lag in the construction project. The construction project management personnel should additionally mobilize supporting construction personnel to significantly improve the construction efficiency of the construction project compared to the previous level to ensure that the project can be completed within the planned time limit.

[0019] The present invention also provides the following technical solution: A construction site supervision and monitoring method based on UAV technology, the method comprising the following steps:

[0020] Set a plurality of construction progress nodes according to the construction plan, and use a UAV to collect images of the construction site under supervision, extract the special parameters of the collected construction images, and match the corresponding real-time construction progress completion amount;

[0021] Set a first-level delay threshold, obtain the error working hours based on the qualified construction progress growth value per working hour and the real-time working hours, compare the error working hours with the first-level delay threshold, and make corresponding alerts according to the comparison results;

[0022] Set a second-level delay threshold, and divide the total working hours of the construction plan into upper and lower halves. When the working hours used exceed half of the planned working hours and enter the lower half, the system uses the second-level delay threshold to monitor the project progress;

[0023] When the error working hours are greater than the second-level delay threshold, the estimated fastest time used is obtained according to the fastest completion amount per working hour, and a comparison is made between the estimated fastest time used and the real-time remaining working hours, and corresponding responses are made according to the comparison results.

[0024] The present invention further provides a computer-readable storage medium storing a computer program, which is executed by a processor to implement the above-mentioned construction site supervision and monitoring system based on unmanned aerial vehicle technology.

[0025] The technical solution provided by the present invention has the following beneficial effects compared with the prior art:

[0026] First, by setting the first-level and second-level construction delay thresholds, the system can monitor the construction progress in different stages in a hierarchical manner. A certain degree of flexibility is allowed in the early stage, while the system is more sensitive and tense in the later stage, which helps to detect and respond to potential delays in a timely manner. Moreover, the real-time data and analysis results provided offer a scientific basis for project managers to make more reasonable decisions and optimize resource allocation.

[0027] Second, after the construction progress enters the lower half area, the system can estimate the fastest completion amount per working hour based on historical data and then calculate the estimated fastest time used. This process enables managers to better understand the feasibility of the current construction and make adjustments to construction personnel resources in advance according to the estimated results. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 is a module schematic diagram of a construction site supervision and monitoring system based on unmanned aerial vehicle technology of the present invention;

[0029] Figure 2 is a flowchart of a construction site supervision and monitoring method based on unmanned aerial vehicle technology of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0030] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0031] It can be understood that the term "one" should be understood as "at least one" or "one or more". That is, in one embodiment, the number of an element can be one, while in other embodiments, the number of the element can be multiple. The term "one" cannot be understood as a limitation on the number.

[0032] Please refer to Figure 1 , the present invention provides a construction site supervision and monitoring system based on unmanned aerial vehicle technology, including an image acquisition module, an analysis and processing module, an anomaly recognition module, and an anomaly reminder module;

[0033] The image acquisition module includes setting multiple construction progress nodes according to different stages of the construction plan. These nodes contain specific completion goals for each construction stage, providing a benchmark for subsequent monitoring. A drone equipped with a high-resolution camera is used to conduct aerial photography of the construction site to collect construction images in real time. The drone can cover a large area and provide views from different angles and heights to ensure comprehensive monitoring of the construction site. Image processing technology is used to analyze the construction images collected by the drone to extract relevant parameters regarding the completion degree of the construction structure, determine the construction progress of the construction site, and match the extracted special parameters with the set multiple construction progress nodes to obtain the corresponding real-time construction progress completion volume.

[0034] For example, it can be set that the construction plan is to construct the walls of 20 rooms (such as plastering, tiling, electrical installation, thermal insulation and waterproofing, etc.). One room can be set as one construction progress node, that is, 20 construction progress nodes are set. The construction personnel will carry out construction in sequence according to the construction progress nodes until all the construction progress nodes are completed, which means the completion of this construction plan.

[0035] The analysis and processing module includes setting a first-level delay threshold, obtaining the total working hours of the construction plan, obtaining the qualified construction progress growth value per working hour by combining the total number of construction progress nodes, and obtaining the error working hours according to the real-time working hours. Compare the error working hours with the first-level delay threshold and give corresponding reminders according to the comparison result. The specific method to obtain the qualified construction progress growth value per working hour is to obtain the qualified construction progress growth value per working hour by dividing the total number of construction progress nodes Js by the total working hours Jt of the construction plan. For example, it can be set that the total working hours of the construction plan is 40 days, and the total number of construction progress nodes is 20, which also means that the construction personnel should complete the wall construction of 20 rooms within 40 days according to the construction plan. Thus, the qualified construction progress growth value per working hour can be obtained as 20÷40 = 0.5. That is to say, ideally, the construction personnel should complete 0.5 construction progress nodes per working hour (i.e., per day).

[0036] To obtain the error working hours, it is necessary to obtain the real-time qualified progress Hj = Sg×Zj according to the real-time working hours Sg and the qualified construction progress growth value Zj per working hour. Then, subtract the real-time construction progress completion volume Sw analyzed from the image features collected by the drone from the real-time qualified progress Hj to obtain the progress difference Cz = Hj - Sw. When the result of the progress difference is less than or equal to zero, it means that the actual construction progress conforms to the progress specified in the construction plan. When the result of the progress difference is greater than zero, it means that the actual construction progress has been delayed and fallen behind. The system will then obtain the error working hours through the progress difference Cz and the qualified construction progress growth value Zj per working hour. Taking the above embodiments as an example, the real-time working hours can be set to the 10th day, and the real-time construction progress completion quantity at the construction site obtained from the image data collected by the drone is 2.5. Since the qualified construction progress growth value for each working hour is 0.5, it can be obtained that in the case of the 10th working hour, the real-time qualified progress is 0.5×10 = 5. Then, by comparing the real-time qualified progress with the real-time construction progress completion quantity, the progress difference is 5 - 2.5 = 2.5. Since this result is greater than zero, the system can determine that the construction progress at the construction site has been delayed. Therefore, the progress difference is combined with the qualified construction progress growth value for each working hour to obtain the error working hours number, which is 2.5÷0.5 = 5:

[0037] More specifically, when the system compares the error working hours number with the first-level delay threshold, if the error working hours number is less than or equal to the first-level delay threshold, it means that although there is a certain delay in the current construction progress, it is within the normal acceptable range and no processing is required; if the error working hours number is greater than the first-level delay threshold, it means that the current construction progress has significantly fallen behind the construction progress plan, which will have a negative impact on the overall progress of the construction project. The system generates a delay report and sends it to the construction project management personnel to prompt the construction progress delay situation, so that the construction project management personnel can make timely responses, communicate and coordinate with the construction personnel, and strengthen management to ensure that the construction progress can be accelerated and caught up in the subsequent operations, and ensure that the project is completed within the planned working hours. For example, the first-level delay threshold can be set to 4 days. Since the obtained error working hours number is 5, the system will generate a delay report to remind the management personnel.

[0038] The abnormal recognition module includes setting a secondary work extension threshold, the value of which is less than the primary work extension threshold. The total working hours of the construction plan are equally divided into upper and lower halves. The working hours used at the start of the construction plan belong to the upper half. The system uses the primary work extension threshold to monitor the project progress, and in the analysis and processing module, the error working hours are compared with the primary work extension threshold in terms of magnitude. When the used working hours exceed half of the planned working hours and enter the lower half, the system then uses the secondary work extension threshold to monitor the project progress, and in the analysis and processing module, the error working hours are compared with the secondary work extension threshold in terms of magnitude. This is because during the entire implementation of the construction plan, there is more time for catching up on work and meeting the planned progress in case of early work delays, while in the later stage of the planned working hours, the construction time is relatively tight, and the time available to solve work delays is more limited. Therefore, more attention should be paid to work extension issues when the construction working hours enter the lower half. After the construction working hours enter the lower half, after comparing the error working hours with the secondary work extension threshold, corresponding reminders are made according to the comparison results. Combining the above embodiments, the value of the secondary work extension threshold can be set to 1 / 2 of the primary work extension threshold, that is, the secondary work extension threshold is 2 days. With such a setting, in the 40-day total working hours of the construction plan, if the error working hours obtained by the system in the first 20 days (i.e., the upper half) remain at 3 days, since the error working hours are less than the 4-day primary work extension threshold, the system does not make a prompt. However, on the 21st day, after the construction working hours enter the lower half, if the error working hours still remain at 3 days, at this time, since the error working hours are greater than the 2-day secondary work extension threshold, the system will generate a delay report and send it to the construction project management personnel to prompt the construction progress delay situation.

[0039] Moreover, after the construction plan working hours enter the lower half, it is a period when the entire construction project is closer to the completion deadline, more tense, and requires enhanced management. At this time, when the system monitors that the construction progress is lagging and reminds the management personnel, it can further estimate whether the subsequent acceleration of the construction progress can complete the construction work on time through the abnormal reminder module;

[0040] The abnormal reminder module includes extracting and analyzing the features of the images collected by the drone for each working hour, obtaining the working hour with the largest number of completed construction progress nodes among all completed working hours, and setting the number of construction progress nodes completed in this working hour as the fastest completion amount for each working hour. When the error working hours are greater than the secondary work extension threshold, since the planned working hours have entered the lower half, it also indicates that at least half of the planned working hours of the entire construction project have been carried out. At this time, the system will calculate the estimated fastest time required based on the fastest completion amount for each working hour, and compare the estimated fastest time required with the real-time remaining working hours, and make corresponding responses according to the comparison results;

[0041] Specifically, the difference between the total number of construction progress nodes Js and the real-time completed quantity of construction progress Sw is calculated to obtain the remaining progress nodes Nj = Js - Sw. Then, the estimated fastest time required is obtained by dividing the remaining progress nodes Nj by the fastest completed quantity Fu per working hour. For example, assume that the total working hours of the construction plan is 40 days, the total number of construction progress nodes is 20, and it is the 29th day since the start of construction. The real-time completed quantity of construction progress is 11. Then the remaining progress nodes can be calculated as 20 - 11 = 9. It is also assumed that in the previous working hours, the construction workers could complete the wall construction of 0.75 rooms in 1 day (1 working hour), that is, the fastest completed quantity per working hour is 0.75. Thus, the estimated fastest time required can be calculated as 9 ÷ 0.75 = 12 days.

[0042] The system will compare the estimated fastest time required with the real-time remaining working hours: when the estimated fastest time required is less than or equal to the real-time remaining working hours, it means that after the system generates a delay report and alerts the construction project manager, the original construction workers can complete the construction project plan on schedule through overtime work; when the estimated fastest time required is greater than the real-time remaining working hours, it means that according to the system's estimate, even if the original construction workers work overtime on the construction project, they still cannot ensure the timely completion of the construction project plan. At this time, the system will send a warning of serious progress lag in the construction project to the construction project manager. The construction project manager should deploy additional supporting construction workers to significantly improve the construction efficiency compared to the previous level to ensure that the project can be completed within the planned period and avoid work delays. Taking the above embodiments as an example, since the estimated fastest time required is 12 days and 29 days have passed out of the total 40 days of the construction plan, the real-time remaining working hours can be calculated as 11 days. At this time, the estimated fastest time required is greater than the real-time remaining working hours. The system will generate a warning of serious progress lag while generating a delay report and send both to the construction project manager to notify the manager that there is a problem with the construction progress and this progress problem cannot be made up by overtime work under the original construction workers and construction conditions.

[0043] As another preferred embodiment of the present invention, the maximum amount completed per man-hour can be set as a floating value. When the error man-hours are greater than the secondary delay threshold, one of the man-hours with the most completed construction progress nodes is obtained among all the elapsed man-hours, and the number of construction progress nodes completed by this man-hour is set as the maximum amount completed per man-hour. And whenever it comes to the next man-hour of construction, the system will compare the amount of completed construction progress nodes in the just-completed man-hour with the maximum amount completed per man-hour, and set the smaller of the two as the new maximum amount completed per man-hour. For example, it is set that when the error man-hours are greater than the secondary delay threshold, the maximum amount completed per man-hour obtained is 0.75, and in the next man-hour, the amount of completed construction progress nodes by the construction personnel is only 0.7. Then the maximum amount completed per man-hour will be dynamically adjusted to 0.7 subsequently, and the system will calculate the estimated fastest time using the new maximum amount completed per man-hour, which will affect the final judgment of whether the system issues a serious lag alarm to the management personnel. This is mainly because when the error man-hours are greater than the secondary delay threshold, it means that this construction project has entered the second half of the man-hours, and the construction personnel are already in a state of catching up with the construction progress. In this rush construction state, the actual amount of completed construction progress nodes per man-hour is more persuasive compared to the previously statistically fastest amount completed within one man-hour. The newly obtained maximum amount completed per man-hour will be closer to the construction efficiency of the original construction personnel when rushing the construction project.

[0044] In summary, the present invention aims to design a construction site supervision and monitoring system based on drone technology. In view of the problems that the construction site cannot be effectively monitored and managed at present, and the project duration cannot be accurately estimated in case of work delays, the construction site is monitored by collecting images through drone technology. The drone can quickly cover a large area of the construction site, saving the time and effort of manual inspections, and ensuring the timeliness and accuracy of construction progress monitoring. When the error working hours of the construction progress are greater than the corresponding first-level or second-level work delay thresholds, the system should promptly send an alarm to the project management personnel to remind them of the construction progress delay, so as to facilitate the implementation of subsequent countermeasures. Moreover, the system can generate a detailed delay report, including the specific working hours of the delay, the affected construction nodes, possible cause analysis, etc., providing a basis for decision-making. The construction project management personnel can also analyze the real-time data of the construction progress, identify the specific reasons for the delay, and respond in a timely manner. At the same time, by setting the first-level and second-level work delay thresholds, the system can monitor the construction progress in different stages in a hierarchical manner. In the early stage (upper half), a certain degree of flexibility is allowed, while in the later stage (lower half), the system is more sensitive and stringent, which helps to detect and respond to potential delays in a timely manner. After the construction working hours enter the lower half, the system can analyze the fastest completion volume of each working hour based on historical data and calculate the estimated fastest time used accordingly. This process enables the management personnel to better grasp the feasibility of the current construction, helping the manager to understand whether there is time pressure to complete the construction tasks. This information is crucial for formulating emergency response plans and adjusting the construction plan, so that the project management personnel can subsequently re-evaluate the construction plan and reasonably adjust the construction resource allocation to catch up with the progress as much as possible.

[0045] Please refer to Figure 2 , the present invention provides a construction site supervision and monitoring method based on drone technology, and the method includes the following steps:

[0046] Set multiple construction progress nodes according to the construction plan, and use drones to collect images of the supervised construction site, extract the special parameters of the collected construction images, and match them to the corresponding real-time construction progress completion volume;

[0047] Set the first-level work delay threshold, obtain the error working hours through the qualified construction progress growth value of each working hour and the real-time working hours, compare the error working hours with the first-level work delay threshold, and make corresponding reminders according to the comparison results;

[0048] Set the second-level work delay threshold, and divide the total working hours of the construction plan into upper and lower halves. When the working hours used exceed half of the planned working hours, enter the lower half, and the system uses the second-level work delay threshold to monitor the project progress;

[0049] When the error man - hour number is greater than the secondary delay threshold, the estimated fastest time used will be obtained based on the fastest completion quantity per man - hour, and the estimated fastest time used will be compared with the real - time remaining man - hour number, and corresponding responses will be made according to the comparison result.

[0050] In the embodiments disclosed by the present invention, the process described above with reference to the flow chart can be implemented as a computer software program. The embodiments disclosed by the present invention include a computer program product, which includes a computer program carried on a computer - readable medium. The computer program contains program codes for executing the method shown in the flow chart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part and / or installed from a removable medium. When the computer program is executed by a central processing unit, the above - defined functions in the method of the present application are executed. It should be noted that the computer - readable medium in the present application can be a computer - readable signal medium, a computer - readable storage medium, or any combination of the two. The computer - readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples of the computer - readable storage medium can include, but are not limited to: an electrical connection with one or more wire segments, a portable computer disk, a hard disk, a random access memory, a read - only memory, an erasable programmable read - only memory, an optical fiber, a portable compact disk read - only memory, an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, the computer - readable storage medium can be any tangible medium that contains or stores a program, and the program can be used by or combined with an instruction execution system, apparatus, or device. In the present application, the computer - readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, which carries the computer - readable program code. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer - readable signal medium can also be any computer - readable medium other than the computer - readable storage medium, and the computer - readable medium can send, propagate, or transmit a program for use by or combined with an instruction execution system, apparatus, or device. The program code contained on the computer - readable medium can be transmitted by any appropriate medium, including but not limited to: wireless, wire segments, optical cables, RF, etc., or any suitable combination of the above.

[0051] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagram may represent a module, a segment of a program, or a part of code that contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions noted in the blocks may occur in a different order than that noted in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, or they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0052] Those skilled in the art should understand that the above description is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by those skilled in the art within the technical scope disclosed in the present application should be covered by the protection scope of the present application.

Claims

1. A construction site supervision and monitoring system based on drone technology, characterized in that: include: An image acquisition module, wherein the image acquisition module includes setting a plurality of construction progress nodes according to the construction plan, and using a drone to acquire images of the supervised construction site, extracting special parameters of the acquired construction images, and matching them to corresponding real-time construction progress completion amounts; An analysis and processing module includes setting a first-level delay threshold, obtaining the error working hours through the qualified construction progress increment value of each working hour and the real-time working hours, comparing the error working hours with the first-level delay threshold, and making corresponding reminders according to the comparison results; An abnormality identification module includes setting a secondary delay threshold and dividing the total working hours of the construction plan into upper and lower halves. When the working hours exceed half of the planned working hours, the system enters the lower half. The system uses the secondary delay threshold to monitor the progress of the project. The abnormal reminder module includes, when the error working hours are greater than the second-level delay threshold, the module will derive the estimated fastest working hours based on the fastest completion amount of each working hour, and compare the estimated fastest working hours with the real-time remaining working hours, and make corresponding responses based on the comparison results.

2. A construction site supervision and monitoring system based on drone technology according to claim 1, characterized in that: The specific method of obtaining the qualified construction progress growth value for each man-hour is to obtain the qualified construction progress growth value for each man-hour by dividing the total number of construction progress nodes Js and the total man-hours Jt of the construction plan.

3. A construction site supervision and monitoring system based on drone technology according to claim 2, characterized in that: The specific method of obtaining the error working hours is: according to the real-time working hours Sg combined with the qualified construction progress growth value Zj of each working hour, the real-time qualified progress Hj = Sg × Zj is obtained, and then the real-time qualified progress Hj is subtracted from the real-time construction progress completion amount Sw analyzed according to the image features collected by the drone to obtain the progress difference Cz = Hj-Sw. When the result of the progress difference is greater than zero, the system will obtain the error working hours through the progress difference Cz and the qualified construction progress growth value Zj of each working hour.

4. A construction site supervision and monitoring system based on drone technology according to claim 3, characterized in that: The error working hours are compared with the first-level delay threshold. If the error working hours are less than or equal to the first-level delay threshold, it means that the current construction progress is within an acceptable range and no action is taken. If the error working hours are greater than the first-level delay threshold, it means that the current construction progress has significantly fallen behind the construction schedule. The system generates a delay report and sends it to the construction project management personnel to alert them of the construction progress delay so that they can respond in a timely manner.

5. A construction site supervision and monitoring system based on drone technology according to claim 4, characterized in that: The working hours used at the beginning of the construction plan belong to the upper half. The system uses the first-level delay threshold to monitor the project progress, and compares the number of error working hours with the first-level delay threshold in the analysis and processing module; when the working hours used exceed half of the planned working hours, it enters the lower half. The system uses the second-level delay threshold to monitor the project progress, and compares the number of error working hours with the second-level delay threshold in the analysis and processing module.

6. The construction site supervision and monitoring system based on drone technology according to claim 1 is characterized in that: By performing feature extraction and analysis on the images collected by the drone at each working hour, the working hour with the most completed construction progress nodes is obtained among all the completed working hours, and the number of construction progress nodes completed by the working hour is set as the fastest completion amount of each working hour.

7. A construction site supervision and monitoring system based on drone technology according to claim 6, characterized in that: The specific method to obtain the fastest estimated time is as follows: subtract the total number of construction progress nodes Js from the real-time construction progress completion amount Sw to obtain the remaining number of progress nodes Nj = Js-Sw, and then obtain the fastest estimated time by the remaining number of progress nodes Nj and the fastest completion amount Fu of each working hour.

8. A construction site supervision and monitoring system based on drone technology according to claim 7, characterized in that: Compare the estimated fastest time and the real-time remaining working hours: when the estimated fastest time is less than or equal to the real-time remaining working hours, the system only generates a delay report to remind the construction project manager; when the estimated fastest time is greater than the real-time remaining working hours, the system will send a warning to the construction project manager that the construction project is seriously behind schedule. The construction project manager should mobilize additional supporting construction personnel to significantly improve the efficiency of the construction project compared to the previous construction, so as to ensure that the project can be completed within the planned period.

9. A construction site supervision and monitoring method based on drone technology, characterized in that: According to a construction site supervision and monitoring system based on drone technology according to any one of claims 1 to 8, the method comprises the following steps: Set multiple construction progress nodes according to the construction plan, use drones to collect images of the supervised construction site, extract special parameters of the collected construction images, and match them to the corresponding real-time construction progress completion amount; Set the first-level delay threshold, obtain the error working hours through the qualified construction progress growth value of each working hour and the real-time working hours, compare the error working hours with the first-level delay threshold, and make corresponding reminders based on the comparison results; Set the second-level delay threshold and divide the total working hours of the construction plan into upper and lower halves. When the working hours exceed half of the planned working hours, the project will enter the lower half. The system will use the second-level delay threshold to monitor the project progress. When the error working hours are greater than the second-level delay threshold, the estimated fastest working hours will be calculated based on the fastest completion amount of each working hour, and the estimated fastest working hours will be compared with the real-time remaining working hours, and corresponding responses will be made based on the comparison results.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement a construction site supervision and monitoring system based on drone technology as described in any one of claims 1 to 8.

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