Construction behavior identification method and system

Abstract

The invention discloses a construction behavior identification method and system, and the method comprises the steps: periodically shooting a real-time remote sensing image of a working point through a camera device, determining the real-time construction progress of the working point according to the real-time remote sensing image, and obtaining the construction time of the current working point after a series of calculation. And finally, comparing the calculated construction time with standard time of an operation point in the operation ticket information management system to obtain a construction behavior identification result of the operation point according to a comparison result, and identifying whether an abnormal construction behavior of no-ticket and no-plan operation exists or not. According to the method and the system, the real-time performance of global operation point monitoring is improved, the workload of supervision personnel is reduced, and the efficiency and the accuracy of abnormal construction behavior identification are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of big data analysis, and in particular to a construction behavior recognition method and system. Background Art

[0002] With the continuous advancement of high-intensity and large-scale power grid construction, safety issues have increased, and the challenges of safety supervision and early warning work have increased. Among them, unticketed and unplanned operations are relatively common during the basic construction stage of line projects. At present, the violation of unticketed and unplanned operations is mainly passively monitored. There are two common monitoring methods: manual inspection, manual inspection teams regularly inspect each construction site; sensor monitoring, by installing vibration sensors at the infrastructure construction site to monitor the construction site in real time. For manual inspection, due to the large number of engineering projects and scattered risk points, the manual inspection team may not be able to achieve full coverage and real-time monitoring of the project due to insufficient personnel, and the quality of the inspectors is uneven, which may lead to unstable quality of inspection work and affect the accuracy of the inspection results. For sensor monitoring, vibration sensors may be more sensitive to environmental noise, and may also produce false alarms for vibrations caused by non-illegal operations. In addition, the widespread deployment of vibration sensors in power grid infrastructure construction may require high installation and maintenance costs. Therefore, faced with the rapidly growing demand for safety supervision at work sites, existing technologies are unable to conduct comprehensive and effective monitoring of all work sites in a timely manner, resulting in the inability to timely and accurately identify abnormal construction behaviors, which in turn leads to a series of safety risk issues caused by unauthorized work without tickets and plans. Summary of the invention

[0003] The purpose of the embodiments of the present invention is to provide a construction behavior identification method and system, which can comprehensively and effectively monitor the work site and improve the efficiency and accuracy of abnormal construction behavior identification.

[0004] To achieve the above object, an embodiment of the present invention provides a construction behavior recognition method, comprising: Acquire real-time remote sensing images of the camera device at the operating point in the current detection cycle; Determine the real-time construction progress of the work point according to the real-time remote sensing image; Calculating the construction progress difference between the real-time construction progress and the reference construction progress; wherein the reference construction progress is the construction progress calculated in the previous detection cycle; Calculating the construction duration according to the construction progress difference, a preset error coefficient and a construction progress coefficient; Determine the construction time of the current operation point according to the construction time and the reference time; wherein the reference time is the shooting time of the remote sensing image of the previous detection cycle; The construction time is compared with the standard time of the work point in the work ticket information management system, and the construction behavior identification result of the work point is obtained according to the comparison result.

[0005] As an improvement of the above solution, the step of determining the real-time construction progress of the work point according to the real-time remote sensing image includes: Performing target recognition on the real-time remote sensing image; The real-time construction progress of the work point is determined based on the pixels of the identified construction target.

[0006] As an improvement of the above solution, the calculation of the construction duration according to the construction progress difference, a preset error coefficient and a construction progress coefficient includes: Calculating the ratio of the construction progress difference to the construction progress coefficient; The ratio is added to a preset error coefficient to obtain the construction time.

[0007] As an improvement of the above solution, the method for determining the construction progress coefficient includes: Acquire at least one construction influencing factor of the operation point, and determine the construction influencing degree value of each construction influencing factor and its corresponding influencing factor coefficient; The construction progress coefficient is calculated according to the preset basic construction duration, the construction impact degree value and the corresponding impact factor coefficient.

[0008] As an improvement of the above solution, the method for determining the error coefficient includes: Determine the average time difference based on the historical construction duration and the historical standard duration; wherein the historical construction duration is the construction duration calculated in the historical detection cycle, and the historical standard duration is the standard construction duration recorded in the job ticket information management system; The average time difference is superimposed on the error coefficient calculated in the previous detection cycle to obtain an updated error coefficient.

[0009] As an improvement to the above solution, the method of determining the average time difference based on the historical construction duration and the historical standard duration includes: The historical construction duration and its corresponding historical standard duration are taken as a set of time sets; Calculate the difference between the historical construction duration and the historical standard duration in k time sets to obtain k time differences, where k ≥ 1 and k is an integer; Calculate the average time difference of k time differences.

[0010] As an improvement of the above solution, obtaining the construction behavior identification result of the work point according to the comparison result includes: When the comparison result is that the construction time matches the standard time, determining that the construction behavior is a normal construction behavior; When the comparison result is that the construction time does not match the standard time, the construction behavior is determined to be an abnormal construction behavior.

[0011] As an improvement of the above solution, the method further includes: When abnormal construction behavior is detected, a prompt message will be issued.

[0012] To achieve the above purpose, an embodiment of the present invention further provides a construction behavior recognition system, comprising: A real-time remote sensing image acquisition module is used to acquire real-time remote sensing images of the operation point of the camera device in the current detection cycle; A real-time construction progress determination module, used to determine the real-time construction progress of the operation point according to the real-time remote sensing image; A construction progress difference calculation module, used to calculate the construction progress difference between the real-time construction progress and the reference construction progress; wherein the reference construction progress is the construction progress calculated in the previous detection cycle; A construction duration calculation module, used to calculate the construction duration according to the construction progress difference, a preset error coefficient and a construction progress coefficient; A construction time determination module, used to determine the construction time of the current operation point according to the construction duration and a reference time; wherein the reference time is the shooting time of the remote sensing image of the previous detection cycle; The construction behavior identification module is used to compare the construction time with the standard time of the work point in the work ticket information management system, and obtain the construction behavior identification result of the work point according to the comparison result.

[0013] As an improvement of the above solution, the system further includes: The prompt module is used to issue a prompt message when abnormal construction behavior is detected.

[0014] Compared with the prior art, the construction behavior identification method and system disclosed in the present invention periodically captures the real-time remote sensing images of the work point through a camera device, and determines the real-time construction progress of the work point based on the real-time remote sensing images, and then obtains the construction time of the current work point after a series of calculations, and finally compares the calculated construction time with the standard time of the work point in the work ticket information management system, so as to obtain the construction behavior identification result of the work point based on the comparison result, and identify whether there is abnormal construction behavior without a ticket and without a plan. The present invention improves the real-time monitoring of the global work point, reduces the workload of the supervisor, and improves the efficiency and accuracy of abnormal construction behavior identification. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 is a flow chart of a construction behavior identification method provided by an embodiment of the present invention; Figure 2 It is a system framework diagram of the application of the construction behavior identification method provided by the embodiment of the present invention; Figure 3 is another flow chart of a construction behavior identification method provided by an embodiment of the present invention; Figure 4 It is a structural block diagram of a construction behavior identification system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] See also Figure 1 , Figure 1 : is a flowchart of a construction behavior identification method provided by an embodiment of the present invention, the construction behavior identification method comprising: S1, obtaining the real-time remote sensing image of the operation point of the camera device in the current detection cycle; S2. determining the real-time construction progress of the operation point according to the real-time remote sensing image; S3, calculating the construction progress difference between the real-time construction progress and the reference construction progress; wherein the reference construction progress is the construction progress calculated in the previous detection cycle; S4. Calculating the construction duration according to the construction progress difference, a preset error coefficient and a construction progress coefficient; S5. Determine the construction time of the current operation point according to the construction time and the reference time; wherein the reference time is the shooting time of the remote sensing image of the previous detection cycle; S6. Compare the construction time with the standard time of the work point in the work ticket information management system, and obtain the construction behavior identification result of the work point according to the comparison result.

[0018] For example, see Figure 2 , Figure 2: is a system framework diagram of the application of the construction behavior identification method provided by the embodiment of the present invention. The construction behavior identification method described in the embodiment of the present invention is implemented by the safety management platform. The safety management platform pre-establishes a communication connection with the camera device. The camera device can be a near-earth satellite, a drone, etc. The camera device periodically shoots the real-time remote sensing image of the work point based on its running trajectory and the coordinate information of the work point. The safety management platform provides the number and location of the required work points in real time, updates the shooting rules, so that the camera device polls and shoots the target work points one by one, and then sends the real-time remote sensing image to the safety management platform. The safety management platform provides computing and storage capabilities for deploying target recognition and comparison algorithms based on remote sensing images, processing and analyzing real-time remote sensing images, and obtaining the construction time of the work point. The safety management platform also interacts with the work ticket information management system. The work ticket information management system records detailed construction details (including construction personnel, construction materials, equipment, construction progress, pre-planned construction start time and construction end time, etc.). The safety management platform can identify whether there is abnormal construction behavior at the work point by comparing the standard time provided by the work ticket information management system and the calculated construction time. In addition, the analysis of remote sensing images has improved the real-time monitoring of all work sites, reduced the workload of supervisors, and improved the efficiency and accuracy of identifying abnormal construction behaviors.

[0019] See also Figure 3 , Figure 3 is another flow chart of a construction behavior identification method provided by an embodiment of the present invention, according to Figure 3 The above steps S1 to S6 are described in detail.

[0020] Specifically, in step S1, a real-time remote sensing image of the operation point of the camera device in the current detection cycle is obtained.

[0021] It should be noted that in order to ensure that abnormal construction behavior can be identified in a timely manner, the detection period can be set according to the actual construction situation, such as being set to 3 to 7 days. Of course, if the camera device is a low-Earth satellite, the detection period must also be determined based on the trajectory period of the low-Earth satellite. The security management platform can communicate with more than one low-Earth satellite. For example, a low-Earth satellite needs to pass through the work site every 7 days to take remote sensing images, but the security management platform expects to obtain a remote sensing image once within 3 days. At this time, the security management platform can use the remaining low-Earth satellites to obtain remote sensing images, thereby ensuring that the detection period can be shorter.

[0022] Specifically, in step S2, determining the real-time construction progress of the work point based on the real-time remote sensing image includes: performing target recognition on the real-time remote sensing image; and determining the real-time construction progress of the work point based on pixel points of the recognized construction target.

[0023] It should be noted that high-precision remote sensing images can be used to capture the overall construction picture of the work site with high definition, but the work site is often in a complex natural geographical environment, such as forests, rivers, etc., or it may be in a complex urban environment, surrounded by factories and other civil construction. In addition, various construction materials and construction equipment are often scattered in the work site. The above environmental factors cause certain difficulties in determining the construction target of the work site. The present invention will identify the construction target through a deep learning model based on remote sensing images, and correct the edge of the construction target by identifying the noise target in the surrounding environment of the construction target, thereby improving the recognition accuracy. For example, after acquiring the real-time remote sensing image, the real-time remote sensing image is used to identify the construction target based on the SAM segmentation model and the YOLOv8 multi-target recognition model.

[0024] For example, the real-time remote sensing image is processed by the SAM segmentation model, wherein the prompt part in the SAM segmentation model is updated by YOLOv8. After being processed by the SAM segmentation model, the construction target can be segmented from the complex and cluttered background image to obtain the initial construction target. , the initial construction target is actually the construction scope of the work point. In addition, after the real-time remote sensing image of the work point is processed by YOLOv8, typical construction materials, equipment, personnel, buildings, etc. in the image can be The influencing factors are divided one by one and expressed as , and thus fine-tune the initial construction goals After the loss function of the SAM segmentation model is processed, the edge-corrected construction target is obtained. , and then use the construction target The number of pixels determines the real-time construction progress of the work point .

[0025] For example, suppose that the remote sensing image seen is of an iron tower. After image recognition, the computer compares the number of pixels of the iron tower identified in the real-time remote sensing image with the expected complete iron tower data (data model, which can also be represented by pixels), and believes that its approximate completion rate is about 80%.

[0026] In the embodiment of the present invention, the high-precision remote sensing satellite is located at a different position for each periodic shooting of the target operation point, so it is impossible to simply calculate the construction progress of the operation point. The present invention corrects the image obtained by shooting according to the longitude and latitude of the camera device and the construction comparison algorithm to obtain the actual construction progress for subsequent construction progress calculation.

[0027] Specifically, in step S3, the construction progress difference between the real-time construction progress and the reference construction progress is calculated; wherein the reference construction progress is the construction progress calculated in the previous detection cycle.

[0028] For example, the reference construction progress calculated for the work point in the previous inspection cycle is obtained from the work ticket information management system. Then the real-time construction progress is calculated based on this detection cycle. , taking the difference between the two times can get the construction progress difference , poor construction progress The calculation process satisfies the following formula: (1).

[0029] Specifically, in step S4, the construction duration is calculated based on the construction progress difference, the preset error coefficient and the construction progress coefficient, including: calculating the ratio of the construction progress difference and the construction progress coefficient; adding the ratio to the preset error coefficient to obtain the construction duration.

[0030] Exemplarily, the calculation process of the construction time satisfies the following formula: (2).

[0031] in, For construction duration, is the construction progress coefficient, is the error coefficient.

[0032] Furthermore, the method for determining the construction progress coefficient includes: obtaining at least one construction influencing factor of the work point, and determining the construction impact degree value of each construction influencing factor and its corresponding influencing factor coefficient; calculating the construction progress coefficient according to a preset basic construction duration, the construction impact degree value and the corresponding influencing factor coefficient.

[0033] For example, the construction progress factor and The construction influencing factors include the actual construction personnel involved in the work order, the construction environment, the risk level of the construction unit, the weather conditions and other factors. Each construction influencing factor corresponds to a construction impact degree value. The construction impact value represents the positive impact on the construction process. The greater the construction impact, the greater the positive impact, which in turn leads to faster construction progress and increased construction progress. Optionally, the construction impact value can be obtained based on historical construction data analysis. In addition, each construction influencing factor also corresponds to an influencing factor coefficient, which is expressed as Characterization, the influencing factor coefficient is used to characterize the importance of each construction influencing factor. For example, if weather has the greatest impact on the construction progress, the corresponding influencing factor coefficient can be set to the maximum. The following are examples of several construction influencing factors: 1) The number of construction workers is positively correlated with the corresponding construction impact value, because the more construction workers there are, the faster the construction efficiency is, and the greater the positive impact on the construction process is; 2) The severity of the construction environment is inversely proportional to the corresponding construction impact value. The worse the construction environment (such as on hillsides, rock-covered areas, wetlands, etc.), the slower the construction efficiency, and the smaller the positive impact on the construction process (it can even be negative); 3) The risk level of the construction unit is inversely proportional to the corresponding construction impact value. The higher the risk level, the greater the probability of problems occurring during the construction process, and the corresponding construction efficiency is slower. At this time, the positive impact on the construction process is smaller (it can even be negative); 4) The severity of the weather is inversely proportional to its corresponding construction impact value. The worse the weather (such as heavy rain, typhoon, etc.), the slower the construction efficiency (even the construction may be suspended), and the smaller the positive impact on the construction process (it can even be negative).

[0034] Exemplarily, the embodiment of the present invention provides a construction basic unit schedule , the basic unit progress of the construction It can be the construction progress added after a unit of time (such as 1 hour) in a construction cycle predefined by the staff, or it can be calculated by the system based on historical construction data. The increase / decrease value of the construction progress caused by the above construction influencing factors is superimposed on it, and finally the construction progress coefficient is obtained. Combined with the above analysis, according to the preset basic construction time, the construction impact value and the corresponding influencing factor coefficient, the construction progress coefficient is calculated to meet the following formula: (3); in, Indicates The influencing factor coefficients, Indicates The construction impact value, .

[0035] Furthermore, the method for determining the error coefficient includes: determining the average time difference based on the historical construction time and the historical standard time; wherein the historical construction time is the construction time calculated in the historical inspection cycle, and the historical standard time is the standard construction time recorded in the job ticket information management system; superimposing the average time difference on the error coefficient calculated in the previous inspection cycle to obtain an updated error coefficient.

[0036] Exemplarily, the determination of the average time difference based on the historical construction duration and the historical standard duration includes: taking the historical construction duration and its corresponding historical standard duration as a set of time sets; calculating the difference between the historical construction duration and the historical standard duration in k time sets to obtain k time differences, k ≥ 1, and k is an integer; and calculating the average time difference of the k time differences. In the embodiment of the present invention, since the construction data is recorded after each construction is completed, the error coefficient can be obtained by comparing the difference between the actual construction duration (i.e., the standard duration) in each detection cycle and the calculated construction duration. , error coefficient Updated with the detection cycle, the error coefficient The calculation process satisfies the following formula: (4); in, is the error coefficient calculated last time, For the The historical standard duration in a detection cycle, For the The historical construction time in each inspection cycle, , is the number of detection cycles, and also the number of groups of time sets.

[0037] Specifically, in step S5, the construction time of the current work point is determined according to the construction duration and the reference time; wherein the reference time is the shooting time of the remote sensing image of the previous detection cycle.

[0038] For example, the shooting of remote sensing images is a fixed cycle, but the construction is random. For example, on December 30, a low-Earth satellite passes through the airspace and shoots images of the day, but there is no construction from December 28 to December 30. Therefore, the progress of the shooting on December 30 is the progress when the construction ends on December 27. Therefore, the time of the remote sensing image taken in the previous detection cycle is used as the benchmark to determine the construction time of this detection cycle. The construction progress difference between the two remote sensing images can be calculated from the work progress. The construction time required is After obtaining the time (year, month, day + specific time) of the last remote sensing image captured by the camera, calculate the construction time according to the standard working hours per day (e.g. 8 hours) recorded in the work ticket information management system The ratio of the working time to the standard working time is the number of days. Combined with the time of the last remote sensing image taken, the construction time within this detection cycle can be calculated. For example, if the time of the last remote sensing image taken was 21:30 on December 20, the construction time If the inspection period is 24 hours, the construction will take 3 days. If the inspection period is 5 days, the construction time should be any three days between 21:30 on December 20 and 21:30 on December 24.

[0039] Specifically, in step S6, the construction time is compared with the standard time of the work point in the work ticket information management system. When the comparison result is that the construction time matches the standard time, the construction behavior is determined to be normal construction behavior; when the comparison result is that the construction time does not match the standard time, the construction behavior is determined to be abnormal construction behavior.

[0040] Exemplarily, the work ticket information management system is searched to see whether there is a work ticket with the same construction time for the same work point. For example, if the detection cycle is 5 days, and the time of the remote sensing image captured this time is 21:30 on December 24, the work ticket information management system is searched for work tickets from 21:30 on December 20 to 21:30 on December 24. If it is found that only 1 day, 2 days, 4 days or 5 days of construction were carried out within these 5 days, it is determined that there is abnormal construction behavior in this detection cycle; conversely, if it is found that 3 days of construction are indeed expected within these 5 days, it is determined that the construction behavior in this detection cycle is normal.

[0041] Furthermore, after executing step S6, the method further includes: issuing a prompt message when abnormal construction behavior is detected.

[0042] For example, when abnormal construction behavior is detected, it means that the construction time of this detection cycle cannot correspond to the expected time in the work ticket information management system. It may be caused by weather reasons, improper staff arrangements, construction beyond the scope, etc. The staff can readjust the construction arrangements.

[0043] Furthermore, each real-time remote sensing image taken will be stored in the safety management platform and will be associated with the construction type, operation point, operation time, construction progress difference (construction duration) compared to the last remote sensing shooting time, and the associated operation ticket ID, etc. This will facilitate staff to check at any time and provide an index basis for the safety management platform.

[0044] Compared with the prior art, the construction behavior identification method disclosed in the present invention has the following beneficial effects: 1. By using the camera device to periodically capture the real-time remote sensing images of the work site, the low-orbit near-Earth satellite can periodically capture the work site at a high frequency, quickly obtain the real-time remote sensing images of the work site, and timely grasp the construction progress and changes of the work site. Compared with traditional manual inspections or other monitoring methods, it greatly improves the efficiency and frequency of monitoring.

[0045] 2. The real-time construction progress of the work point can be accurately determined based on real-time remote sensing images. Through advanced image recognition technology and algorithms, the scope of the construction area can be accurately measured, providing an accurate data basis for subsequent construction time calculations.

[0046] 3. By using real-time construction progress and other data and a series of scientific calculations, the construction time of the current work point can be obtained. This calculation method is more accurate than the traditional estimation method and can provide a more reliable time basis for construction management.

[0047] 4. Comparing the calculated construction time with the standard time of the work point in the work ticket information management system can quickly identify whether there is abnormal construction behavior without a ticket or plan. Once an abnormality is found, an early warning can be issued in time, so that relevant departments can take measures to stop and correct it, avoiding safety hazards and economic losses caused by illegal construction behavior.

[0048] 5. Real-time monitoring and identification of construction behaviors can help to promptly discover illegal operations and safety hazards in the construction process, such as construction beyond the scope, too fast or too slow construction progress, etc., thereby ensuring the safety and quality of construction.

[0049] 6. This monitoring method can provide comprehensive and accurate information for construction management, which helps managers to adjust construction plans and resource allocation in a timely manner, improve the efficiency and scientificity of construction management. At the same time, it can also reduce manual intervention and management costs and realize intelligent construction management.

[0050] See also Figure 4 , Figure 4 1 is a structural block diagram of a construction behavior recognition system 100 provided in an embodiment of the present invention. The construction behavior recognition system 100 includes: A real-time remote sensing image acquisition module 11 is used to acquire a real-time remote sensing image of an operation point of the camera device in the current detection cycle; A real-time construction progress determination module 12, used to determine the real-time construction progress of the operation point according to the real-time remote sensing image; The construction progress difference calculation module 13 is used to calculate the construction progress difference between the real-time construction progress and the reference construction progress; wherein the reference construction progress is the construction progress calculated in the previous detection cycle; A construction duration calculation module 14 is used to calculate the construction duration according to the construction progress difference, a preset error coefficient and a construction progress coefficient; A construction time determination module 15 is used to determine the construction time of the current operation point according to the construction time and the reference time; wherein the reference time is the shooting time of the remote sensing image of the previous detection cycle; The construction behavior identification module 16 is used to compare the construction time with the standard time of the work point in the work ticket information management system, and obtain the construction behavior identification result of the work point according to the comparison result.

[0051] Specifically, the real-time construction progress determination module 12 is specifically used to: perform target recognition on the real-time remote sensing image; and determine the real-time construction progress of the operation point according to the pixel points of the recognized construction target.

[0052] Specifically, determining the real-time construction progress of the work point based on the identified pixel points of the construction target includes: using the number of pixel points of the construction target to determine the target construction progress of the work point in the real-time remote sensing image; and calculating the real-time construction progress of the work point based on the position information of the camera device, the position information of the work point and the target construction progress.

[0053] Specifically, the construction duration calculation module 14 is specifically used to: calculate the ratio of the construction progress difference and the construction progress coefficient; and add the ratio to a preset error coefficient to obtain the construction duration.

[0054] Specifically, the method for determining the construction progress coefficient includes: obtaining at least one construction influencing factor of the work point, and determining the construction impact degree value of each construction influencing factor and its corresponding influencing factor coefficient; calculating the construction progress coefficient according to the preset basic construction duration, the construction impact degree value and the corresponding influencing factor coefficient.

[0055] Specifically, the method for determining the error coefficient includes: determining the average time difference based on the historical construction time and the historical standard time; wherein the historical construction time is the construction time calculated in the historical inspection cycle, and the historical standard time is the standard construction time recorded in the job ticket information management system; superimposing the average time difference on the error coefficient calculated in the previous inspection cycle to obtain an updated error coefficient.

[0056] Specifically, the method of determining the average time difference based on the historical construction duration and the historical standard duration includes: taking the historical construction duration and its corresponding historical standard duration as a group of time sets; calculating the difference between the historical construction duration and the historical standard duration in k time sets to obtain k time differences, k≥1, and k is an integer; and calculating the average time difference of the k time differences.

[0057] Specifically, the construction behavior identification module 16 is specifically used to: when the comparison result is that the construction time matches the standard time, determine that the construction behavior is normal construction behavior; when the comparison result is that the construction time does not match the standard time, determine that the construction behavior is abnormal construction behavior.

[0058] Specifically, the construction behavior recognition system 100 further includes: The prompt module is used to issue a prompt message when abnormal construction behavior is detected.

[0059] It is worth noting that the working process of each module in the construction behavior recognition system 100 described in the embodiment of the present invention can refer to the working process of the construction behavior recognition method described in the above embodiment, and will not be repeated here.

[0060] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A construction behavior identification method, characterized in that: include: Acquire real-time remote sensing images of the camera device at the operating point in the current detection cycle; Determine the real-time construction progress of the work point according to the real-time remote sensing image; Calculating the construction progress difference between the real-time construction progress and the reference construction progress; wherein the reference construction progress is the construction progress calculated in the previous detection cycle; Calculating the construction duration according to the construction progress difference, a preset error coefficient and a construction progress coefficient; Determine the construction time of the current operation point according to the construction time and the reference time; wherein the reference time is the shooting time of the remote sensing image of the previous detection cycle; The construction time is compared with the standard time of the work point in the work ticket information management system, and the construction behavior identification result of the work point is obtained according to the comparison result.

2. The construction behavior identification method according to claim 1, characterized in that: Determining the real-time construction progress of the work point according to the real-time remote sensing image includes: Performing target recognition on the real-time remote sensing image; The real-time construction progress of the work point is determined based on the pixels of the identified construction target.

3. The construction behavior identification method according to claim 1, characterized in that: The calculating of the construction duration according to the construction progress difference, a preset error coefficient and a construction progress coefficient comprises: Calculating the ratio of the construction progress difference to the construction progress coefficient; The ratio is added to a preset error coefficient to obtain the construction time.

4. The construction behavior identification method according to claim 1 or 3, characterized in that: The method for determining the construction progress coefficient includes: Acquire at least one construction influencing factor of the operation point, and determine the construction influencing degree value of each construction influencing factor and its corresponding influencing factor coefficient; The construction progress coefficient is calculated according to the preset basic construction duration, the construction impact degree value and the corresponding impact factor coefficient.

5. The construction behavior identification method according to claim 1 or 3, characterized in that: The method for determining the error coefficient includes: Determine the average time difference based on the historical construction duration and the historical standard duration; wherein the historical construction duration is the construction duration calculated in the historical detection cycle, and the historical standard duration is the standard construction duration recorded in the job ticket information management system; The average time difference is superimposed on the error coefficient calculated in the previous detection cycle to obtain an updated error coefficient.

6. The construction behavior identification method according to claim 5, characterized in that: The average time difference is determined based on the historical construction duration and the historical standard duration, including: The historical construction duration and its corresponding historical standard duration are taken as a set of time sets; Calculate the difference between the historical construction duration and the historical standard duration in k time sets to obtain k time differences, where k ≥ 1 and k is an integer; Calculate the average time difference of k time differences.

7. The construction behavior identification method according to claim 1, characterized in that: The obtaining of the construction behavior recognition result of the operation point according to the comparison result includes: When the comparison result is that the construction time matches the standard time, determining that the construction behavior is a normal construction behavior; When the comparison result is that the construction time does not match the standard time, the construction behavior is determined to be an abnormal construction behavior.

8. The construction behavior identification method according to claim 7, characterized in that: The method further comprises: When abnormal construction behavior is detected, a prompt message will be issued.

9. A construction behavior recognition system, characterized in that: include: A real-time remote sensing image acquisition module is used to acquire real-time remote sensing images of the operation point of the camera device in the current detection cycle; A real-time construction progress determination module, used to determine the real-time construction progress of the operation point according to the real-time remote sensing image; A construction progress difference calculation module, used to calculate the construction progress difference between the real-time construction progress and the reference construction progress; wherein the reference construction progress is the construction progress calculated in the previous detection cycle; A construction duration calculation module, used to calculate the construction duration according to the construction progress difference, a preset error coefficient and a construction progress coefficient; A construction time determination module, used to determine the construction time of the current operation point according to the construction duration and a reference time; wherein the reference time is the shooting time of the remote sensing image of the previous detection cycle; The construction behavior identification module is used to compare the construction time with the standard time of the work point in the work ticket information management system, and obtain the construction behavior identification result of the work point according to the comparison result.

10. The construction behavior recognition system according to claim 9, characterized in that: The system further comprises: The prompt module is used to issue a prompt message when abnormal construction behavior is detected.

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