Building construction safety state evaluation system and method based on computer vision

Abstract

The invention relates to the technical field of computer vision, and discloses a building construction safety state evaluation system and method based on computer vision. The judgment module is configured to judge whether the construction danger early warning threshold value needs to be corrected or not according to the historical construction deviation coefficient: when it is judged that the construction danger early warning threshold value needs to be corrected, a correction coefficient corresponding to the construction danger early warning threshold value is set, and the corrected construction danger early warning threshold value is obtained; the processing module is configured to compensate the corrected construction danger early warning threshold value according to the environmental factor influence coefficient to obtain a compensated construction danger early warning threshold value; and the early warning module is used for judging the construction safety state level of the construction area according to the comparison result and judging whether danger early warning or danger warning is carried out or not according to the construction safety state level. According to the method, potential risks in the construction process can be evaluated more accurately, early warning or warning signals can be sent out in time, and smooth proceeding of construction activities is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of computer vision, and in particular to a system and method for assessing the safety status of a building construction based on computer vision. Background Art

[0002] Computer vision, as an important branch of artificial intelligence, simulates the human visual system by analyzing and understanding the features in high-dimensional data such as images and videos. At present, this technology has been widely used in many fields such as remote sensing image analysis, facial recognition, and posture detection, and has been widely recognized. According to different feature extraction technologies, computer vision methods are mainly divided into two methods: those based on traditional manual feature extraction and those based on deep learning. In the existing computer vision-based construction safety status assessment system, it only relies on simple analysis of video or image data, and fails to fully consider the complexity and variability of the construction environment. Summary of the invention

[0003] In view of this, the present invention proposes a construction safety status assessment system and method based on computer vision, aiming to solve the problem that the current technology only relies on simple analysis of video or image data and fails to fully consider the complexity and variability of the construction environment.

[0004] In one aspect, the present invention provides a computer vision-based construction safety status assessment system, comprising:

[0005] The acquisition module is configured to determine a monitoring area within a construction area, obtain construction stage information of the monitoring area, and determine a construction hazard warning threshold according to the construction stage information; and is also configured to extract corresponding historical construction records from a historical construction record library based on the monitoring area and the construction hazard warning threshold, analyze the historical construction records, and calculate a historical construction deviation coefficient based on the analysis results;

[0006] A judgment module is configured to judge whether the construction hazard warning threshold needs to be corrected according to the historical construction deviation coefficient: when it is determined that the construction hazard warning threshold needs to be corrected, a correction coefficient corresponding to the construction hazard warning threshold is set, and a corrected construction hazard warning threshold is obtained;

[0007] The judgment module is further configured to control the acquisition module to acquire environmental data of the monitoring area, analyze the environmental data, and judge whether it is necessary to compensate the modified construction hazard warning threshold based on the analysis result: when it is determined that the modified construction hazard warning threshold is to be compensated, calculate the environmental factor influence coefficient of the monitoring area;

[0008] A processing module is configured to compensate the modified construction hazard warning threshold according to the environmental factor influence coefficient to obtain a compensated construction hazard warning threshold;

[0009] The early warning module is configured to control the collection module to collect the construction behavior data and the building structure change data of the construction area, calculate the construction risk value according to the construction behavior data and the building structure change data, compare the construction risk value with the compensation construction risk early warning threshold, judge the construction safety status level of the construction area according to the comparison result, and judge whether to issue a risk early warning or a risk alarm according to the construction safety status level.

[0010] Furthermore, the historical construction records are analyzed, and the historical construction deviation coefficient is calculated based on the analysis results, including:

[0011] Analyze the historical construction records to obtain normal construction behaviors and abnormal construction behaviors associated with construction hazards;

[0012] Determine the construction risk factor corresponding to each abnormal construction behavior associated with a construction hazard, and construct a construction risk factor sequence;

[0013] Counting a first number of the normal construction behaviors and a second number of the abnormal construction behaviors associated with the construction hazard, and calculating a historical construction deviation coefficient of the monitoring area according to the first number, the second number and a construction risk factor sequence;

[0014]

[0015] Among them, C represents the historical construction deviation coefficient, Na represents the second number, Nb represents the first number, n represents the number of the construction risk factors, and Ri represents the i-th construction risk factor in the construction risk factor sequence.

[0016] Furthermore, when determining the construction risk factor corresponding to each construction hazard-related abnormal construction behavior, it includes:

[0017] Extract the actual construction time and actual material usage corresponding to the abnormal construction behavior associated with the construction hazard, obtain the planned construction time and planned material usage, calculate the first construction time difference according to the actual construction time and the planned construction time, and calculate the first material usage difference according to the actual material usage and the planned material usage;

[0018] Analyze all normal construction behaviors, determine the construction time and material usage corresponding to each normal construction behavior, and extract the minimum construction time and minimum material usage;

[0019] Calculate a second construction time difference according to the actual construction time and the minimum construction time, and calculate a second material usage difference according to the actual material usage and the minimum material usage;

[0020] The construction risk factor corresponding to each construction hazard-related abnormal construction behavior is calculated based on the first construction time difference, the first material usage difference, the second construction time difference, and the second material usage difference; the construction risk factor is obtained by the following formula:

[0021]

[0022] Among them, R represents the construction risk factor, α1 and α2 represent the weight coefficient of the first construction time difference and the weight coefficient of the first material usage difference respectively, and the sum of α1 and α2 is 1, β1 and β2 represent the weight coefficient of the second construction time difference and the weight coefficient of the second material usage difference respectively, and the sum of β1 and β2 is 1, △T1 represents the first construction time difference, Tj represents the planned construction time, △M1 represents the first material usage difference, Mj represents the minimum material usage, △T2 represents the second construction time difference, Tm represents the minimum construction time, △M2 represents the second material usage difference, and Mm represents the minimum material usage.

[0023] Further, judging whether the construction hazard warning threshold needs to be corrected according to the historical construction deviation coefficient includes:

[0024] Comparing the historical construction deviation coefficient with the construction deviation coefficient threshold, and judging whether it is necessary to revise the construction hazard warning threshold according to the comparison result;

[0025] When the historical construction deviation coefficient is less than or equal to the construction deviation coefficient threshold, it is determined that there is no need to modify the construction hazard warning threshold;

[0026] When the historical construction deviation coefficient is greater than the construction deviation coefficient threshold, it is determined that the construction hazard warning threshold needs to be corrected.

[0027] Furthermore, when setting a correction coefficient corresponding to the construction hazard warning threshold and obtaining a corrected construction hazard warning threshold, it includes:

[0028] The correction coefficients include a first correction coefficient, a second correction coefficient and a third correction coefficient;

[0029] Calculating a coefficient ratio of the historical construction deviation coefficient and the construction deviation coefficient threshold;

[0030] When the coefficient ratio is greater than 1 and less than or equal to 1.1, the first correction coefficient is selected as the correction coefficient of the construction hazard warning threshold, and the first correction coefficient and the construction hazard warning threshold are multiplied to obtain the modified construction hazard warning threshold;

[0031] When the coefficient ratio is greater than 1.1 and less than or equal to 1.3, the second correction coefficient is selected as the correction coefficient of the construction hazard warning threshold, and the second correction coefficient and the construction hazard warning threshold are multiplied to obtain the modified construction hazard warning threshold;

[0032] When the coefficient ratio is greater than 1.3, the third correction coefficient is selected as the correction coefficient of the construction hazard warning threshold, and the third correction coefficient and the construction hazard warning threshold are multiplied to obtain the corrected construction hazard warning threshold.

[0033] Further, judging whether it is necessary to compensate the modified construction hazard warning threshold based on the analysis result includes:

[0034] Collecting environmental parameter values ​​corresponding to the environmental data and determining parameter standard values ​​corresponding to the environmental data; comparing the environmental parameter values ​​with the parameter standard values, and judging whether to compensate for the modified construction hazard warning threshold value according to the comparison result;

[0035] When there is no value greater than the corresponding parameter standard value among all the environmental parameter values, it is determined that no compensation is performed on the modified construction hazard warning threshold;

[0036] When there is a value among all the environmental parameter values ​​that is greater than the corresponding parameter standard value, it is determined to compensate the modified construction hazard warning threshold.

[0037] Further, when determining to compensate for the modified construction hazard warning threshold, calculating the environmental factor influence coefficient of the monitoring area includes:

[0038] Extract all environmental parameter values ​​that are greater than the parameter standard value, and calculate the difference between each parameter standard value and the environmental parameter value;

[0039] Comparing the difference with a difference threshold, collecting all differences that are less than or equal to the difference threshold according to the comparison result to establish a first difference set, collecting all differences that are greater than the difference threshold to establish a second difference set, and calculating a first average difference of the first difference set and a second average difference of the second difference set;

[0040] The environmental factor influence coefficient is calculated according to the first average difference and the second average difference; the environmental factor influence coefficient is obtained by the following formula:

[0041]

[0042] Among them, Ef represents the influence coefficient of the environmental factor, η1 and η2 represent the weight coefficient of the first average difference and the weight coefficient of the second average difference, and the sum of η1 and η2 is 1, △1 represents the first average difference, △2 represents the second average difference, k represents the adjustment coefficient and k is greater than 1.

[0043] Further, the modified construction hazard warning threshold is compensated according to the environmental factor influence coefficient to obtain the compensated construction hazard warning threshold, including:

[0044] Comparing the environmental factor influence coefficient with the first environmental factor influence coefficient and the second environmental factor influence coefficient, and selecting different compensation coefficients according to the comparison result, wherein the compensation coefficients include a first compensation coefficient, a second compensation coefficient and a third compensation coefficient;

[0045] When the environmental factor influence coefficient is less than the first environmental factor influence coefficient, the first compensation coefficient is selected as the compensation coefficient corresponding to the modified construction hazard warning threshold, and the first compensation coefficient and the modified construction hazard warning threshold are multiplied to obtain the compensated construction hazard warning threshold;

[0046] When the environmental factor influence coefficient is greater than or equal to the first environmental factor influence coefficient and less than the second environmental factor influence coefficient, the second compensation coefficient is selected as the compensation coefficient corresponding to the modified construction hazard warning threshold, and the second compensation coefficient is multiplied by the modified construction hazard warning threshold to obtain the compensated construction hazard warning threshold;

[0047] When the environmental factor influence coefficient is greater than or equal to the second environmental factor influence coefficient, the third compensation coefficient is selected as the compensation coefficient corresponding to the modified construction hazard warning threshold, and the third compensation coefficient and the modified construction hazard warning threshold are multiplied to obtain the compensated construction hazard warning threshold.

[0048] Further, judging the construction safety status level of the construction area according to the comparison result, and judging whether to issue a danger warning or alarm according to the construction safety status level, includes:

[0049] When the construction risk value is less than the compensation construction risk warning threshold, the construction safety status level of the construction area is determined to be light, and no risk warning or risk alarm is issued;

[0050] When the construction risk value is equal to the compensation construction risk warning threshold, the construction safety status level of the construction area is determined to be intermediate, and a risk warning is issued but no risk alarm is issued;

[0051] When the construction risk value is greater than the compensation construction risk warning threshold, the construction safety status level of the construction area is determined to be severe, and a danger warning is directly issued.

[0052] Compared with the prior art, the beneficial effects of the present invention are as follows: the computer vision-based construction safety status assessment system provided by the present invention can adjust the construction hazard warning threshold according to the construction stage information, ensuring the scientificity and pertinence of the warning standard; by deeply analyzing the historical construction records, the historical construction deviation coefficient calculated provides a strong basis for the dynamic adjustment of the warning threshold, effectively avoiding the problem of false alarm or missed alarm caused by improper setting of the fixed threshold; fully considers the impact of environmental factors on construction safety, and calculates the environmental factor influence coefficient by collecting and analyzing the environmental data of the monitoring area, and then compensates for the modified construction hazard warning threshold, which makes the warning threshold closer to the actual construction environment and improves the accuracy and reliability of the warning. By collecting the construction behavior data and building structure change data of the construction area, the comprehensive monitoring of the construction safety status is realized. The fusion analysis of these multi-dimensional data enables the system to more accurately assess the potential risks in the construction process and issue warning or alarm signals in time, which helps the construction personnel to take measures in time to eliminate safety hazards and ensure the smooth progress of construction activities.

[0053] In another aspect, the present invention also proposes a method for assessing the safety status of a construction project based on computer vision, comprising the following steps:

[0054] S100: Determine a monitoring area within a construction area, obtain construction stage information of the monitoring area, and determine a construction hazard warning threshold according to the construction stage information; extract corresponding historical construction records from a historical construction record library based on the monitoring area and the construction hazard warning threshold, analyze the historical construction records, and calculate a historical construction deviation coefficient based on the analysis results;

[0055] S200: judging whether it is necessary to revise the construction hazard warning threshold value according to the historical construction deviation coefficient: when it is determined that the construction hazard warning threshold value needs to be revised, setting a correction coefficient corresponding to the construction hazard warning threshold value, and obtaining a revised construction hazard warning threshold value;

[0056] S300: collecting environmental data of the monitoring area, analyzing the environmental data, and judging whether it is necessary to compensate the modified construction hazard warning threshold based on the analysis result: when it is judged that the modified construction hazard warning threshold is to be compensated, calculating the environmental factor influence coefficient of the monitoring area;

[0057] S400: Compensating the modified construction hazard warning threshold according to the environmental factor influence coefficient to obtain a compensated construction hazard warning threshold;

[0058] S500: Collect construction behavior data and building structure change data of the construction area, calculate a construction risk value based on the construction behavior data and building structure change data, compare the construction risk value with a compensation construction risk warning threshold, determine the construction safety status level of the construction area based on the comparison result, and determine whether to issue a risk warning or a risk alarm based on the construction safety status level.

[0059] It can be understood that the above-mentioned computer vision-based construction safety status assessment system and method have the same beneficial effects, which will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0061] Figure 1 A structural block diagram of a computer vision-based construction safety status assessment system provided by an embodiment of the present invention;

[0062] Figure 2 A flowchart of a method for assessing building construction safety status based on computer vision provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0063] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the absence of conflict, the embodiments of the present invention and the features described in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0064] See also Figure 1 As shown, in some embodiments of the present application, this embodiment provides a computer vision-based construction safety status assessment system, including:

[0065] The acquisition module is configured to determine the monitoring area within the construction area, obtain the construction stage information of the monitoring area, and determine the construction hazard warning threshold according to the construction stage information; and is also configured to extract the corresponding historical construction records from the historical construction record library based on the monitoring area and the construction hazard warning threshold, analyze the historical construction records, and calculate the historical construction deviation coefficient based on the analysis results;

[0066] In some embodiments of the present invention, the construction phase information includes the current construction phase (such as foundation construction, main structure construction, decoration phase, etc.).

[0067] In some embodiments of the present invention, the construction hazard warning threshold is determined according to information of different construction stages. For example, for the decoration stage, the construction hazard warning threshold may be set relatively low, because more detailed work and personnel flow are involved at this time, which increases the possibility of accidents; while for the main structure construction stage, since the construction activities involved are more basic and critical, the construction hazard warning threshold may be increased accordingly to ensure structural safety.

[0068] The judgment module is configured to judge whether the construction hazard warning threshold needs to be corrected according to the historical construction deviation coefficient: when it is determined that the construction hazard warning threshold needs to be corrected, a correction coefficient corresponding to the construction hazard warning threshold is set, and a corrected construction hazard warning threshold is obtained;

[0069] The judgment module is further configured to control the collection module to collect environmental data of the monitoring area, analyze the environmental data, and judge whether it is necessary to compensate for the modified construction hazard warning threshold based on the analysis result: when it is determined that the modified construction hazard warning threshold is compensated, the environmental factor influence coefficient of the monitoring area is calculated;

[0070] A processing module is configured to compensate the modified construction hazard warning threshold according to the environmental factor influence coefficient to obtain a compensated construction hazard warning threshold;

[0071] The early warning module is configured to control the collection module to collect the construction behavior data and the building structure change data in the construction area, calculate the construction risk value according to the construction behavior data and the building structure change data, compare the construction risk value with the compensation construction risk early warning threshold, judge the construction safety status level of the construction area according to the comparison result, and judge whether to issue a risk early warning or a risk alarm according to the construction safety status level.

[0072] In this embodiment, the judgment module is used to make intelligent decisions based on the historical construction deviation coefficient to optimize the accuracy of the construction hazard warning threshold; the processing module is used to make fine adjustments to environmental factors to ensure the comprehensiveness and accuracy of the construction safety assessment; the early warning module is used to monitor and respond to potential safety risks in real time, and improve the early warning efficiency through multi-dimensional data fusion.

[0073] It can be understood that the computer vision-based construction safety status assessment system provided in this embodiment can adjust the construction hazard warning threshold according to the construction stage information to ensure the scientificity and pertinence of the warning standard; by deeply analyzing the historical construction records, the historical construction deviation coefficient calculated provides a strong basis for the dynamic adjustment of the warning threshold, effectively avoiding the problem of false alarm or missed alarm caused by improper setting of the fixed threshold; fully consider the impact of environmental factors on construction safety, by collecting and analyzing the environmental data of the monitoring area, calculate the environmental factor influence coefficient, and then compensate for the modified construction hazard warning threshold, which makes the warning threshold closer to the actual construction environment and improves the accuracy and reliability of the warning. By collecting the construction behavior data and building structure change data of the construction area, the comprehensive monitoring of the construction safety status is realized. The fusion analysis of these multi-dimensional data enables the system to more accurately assess the potential risks in the construction process and issue warning or alarm signals in time, which helps construction personnel to take timely measures to eliminate safety hazards and ensure the smooth progress of construction activities.

[0074] In some embodiments of the present application, when analyzing the historical construction records and calculating the historical construction deviation coefficient based on the analysis results, the following steps are included:

[0075] Analyze historical construction records to obtain normal construction behaviors and abnormal construction behaviors associated with construction hazards;

[0076] Determine the construction risk factor corresponding to each abnormal construction behavior associated with a construction hazard, and construct a construction risk factor sequence;

[0077] Counting a first number of normal construction behaviors and a second number of abnormal construction behaviors associated with construction hazards, and calculating a historical construction deviation coefficient of the monitoring area according to the first number, the second number and a sequence of construction risk factors;

[0078]

[0079] Among them, C represents the historical construction deviation coefficient, Na represents the second quantity, Nb represents the first quantity, n represents the number of construction risk factors, and Ri represents the i-th construction risk factor in the construction risk factor sequence.

[0080] In this embodiment, the historical construction record library is generated by systematically recording the information of each construction stage. The main contents of the historical construction record library include the specific construction activities, participants, construction time, materials and equipment used, and any abnormalities or accident records that occurred in each construction stage.

[0081] In this embodiment, normal construction behavior refers to the routine operation process that complies with safety regulations, technical standards and design requirements during the construction process, and abnormal construction behavior associated with construction hazards refers to construction activities that have obvious deviations from normal construction behavior or do not comply with safety regulations, technical standards and design requirements. These abnormal construction behaviors are often closely related to construction hazards and may directly lead to the occurrence of safety accidents.

[0082] In some embodiments of the present application, when determining the construction risk factor corresponding to each construction hazard-associated abnormal construction behavior, it includes:

[0083] Extract the actual construction time and actual material usage corresponding to the abnormal construction behavior associated with the construction hazard, obtain the planned construction time and planned material usage, calculate the first construction time difference according to the actual construction time and the planned construction time, and calculate the first material usage difference according to the actual material usage and the planned material usage;

[0084] Analyze all normal construction behaviors, determine the construction time and material usage corresponding to each normal construction behavior, and extract the minimum construction time and minimum material usage;

[0085] Calculate the second construction time difference according to the actual construction time and the minimum construction time, and calculate the second material usage difference according to the actual material usage and the minimum material usage;

[0086] The construction risk factor corresponding to each construction hazard-related abnormal construction behavior is calculated based on the first construction time difference, the first material usage difference, the second construction time difference and the second material usage difference; the construction risk factor is obtained by the following formula:

[0087]

[0088] Among them, R represents the construction risk factor, α1 and α2 represent the weight coefficient of the first construction time difference and the weight coefficient of the first material usage difference respectively, and the sum of α1 and α2 is 1, β1 and β2 represent the weight coefficient of the second construction time difference and the weight coefficient of the second material usage difference respectively, and the sum of β1 and β2 is 1, △T1 represents the first construction time difference, Tj represents the planned construction time, △M1 represents the first material usage difference, Mj represents the minimum material usage, △T2 represents the second construction time difference, Tm represents the minimum construction time, △M2 represents the second material usage difference, and Mm represents the minimum material usage.

[0089] In this embodiment, α1 and α2, β1 and β2 respectively represent the importance of the differences in different dimensions in evaluating construction risk factors. These weight coefficients can be adjusted according to actual construction experience and expert opinions to ensure that the calculation of construction risk factors is both scientific and reasonable. Finally, through the calculation of the above formula, the construction risk factor corresponding to each construction hazard-associated abnormal construction behavior is obtained. These construction risk factors not only take into account the deviations in construction time and material usage, but also combine the comparison with the optimal construction state, so they can more accurately reflect the risk level of construction activities. This provides an important basis for subsequent construction safety assessments, adjustment of warning thresholds, and decision-making on hazard warnings or alarms.

[0090] In some embodiments of the present application, judging whether it is necessary to modify the construction hazard warning threshold according to the historical construction deviation coefficient includes:

[0091] Compare the historical construction deviation coefficient with the construction deviation coefficient threshold, and determine whether the construction hazard warning threshold needs to be revised based on the comparison result;

[0092] When the historical construction deviation coefficient is less than or equal to the construction deviation coefficient threshold, it is determined that there is no need to modify the construction hazard warning threshold;

[0093] When the historical construction deviation coefficient is greater than the construction deviation coefficient threshold, it is determined that the construction hazard warning threshold needs to be corrected.

[0094] In this embodiment, the construction deviation coefficient threshold is derived from the historical construction deviation coefficient, and is predicted and determined by combining time series analysis and machine learning algorithms; this value reflects the normal fluctuation range of the construction deviation coefficient and is an important reference for evaluating whether the current construction status is abnormal. Using the time series model to analyze the historical construction deviation coefficient and introducing the machine learning algorithm to train and optimize the model can further improve the prediction accuracy and make the predicted value of the construction deviation coefficient closer to the actual situation.

[0095] In some embodiments of the present application, when setting a correction coefficient corresponding to the construction hazard warning threshold and obtaining the corrected construction hazard warning threshold, the following steps are included:

[0096] The correction coefficient includes a first correction coefficient, a second correction coefficient and a third correction coefficient;

[0097] Calculate the coefficient ratio of the historical construction deviation coefficient and the construction deviation coefficient threshold;

[0098] When the coefficient ratio is greater than 1 and less than or equal to 1.1, the first correction coefficient is selected as the correction coefficient of the construction hazard warning threshold, and the first correction coefficient and the construction hazard warning threshold are multiplied to obtain the corrected construction hazard warning threshold;

[0099] When the coefficient ratio is greater than 1.1 and less than or equal to 1.3, the second correction coefficient is selected as the correction coefficient of the construction hazard warning threshold, and the second correction coefficient and the construction hazard warning threshold are multiplied to obtain the corrected construction hazard warning threshold;

[0100] When the coefficient ratio is greater than 1.3, the third correction coefficient is selected as the correction coefficient of the construction hazard warning threshold, and the third correction coefficient and the construction hazard warning threshold are multiplied to obtain the corrected construction hazard warning threshold.

[0101] In this embodiment, the first correction coefficient is preferably 0.95, the second correction coefficient is preferably 0.9, and the third correction coefficient is preferably 0.85. Such a setting is based on an in-depth analysis of actual construction deviations and the statistical laws of historical data. By setting different correction coefficients, it is possible to more flexibly deal with different degrees of construction deviation coefficients exceeding the normal range, thereby achieving accurate adjustment of the construction hazard warning threshold.

[0102] It is understandable that the setting of the correction factor is not static, but can be dynamically adjusted according to the actual construction situation and expert opinions. By continuously optimizing the value of the correction factor, it can ensure that the construction hazard warning system is always in the best state, providing a strong guarantee for construction safety.

[0103] In some embodiments of the present application, judging whether it is necessary to compensate for the modified construction hazard warning threshold based on the analysis result includes:

[0104] Collect environmental parameter values ​​corresponding to environmental data and determine parameter standard values ​​corresponding to environmental data; compare environmental parameter values ​​with parameter standard values, and determine whether to compensate for the revised construction hazard warning threshold based on the comparison results;

[0105] When there is no value greater than the corresponding parameter standard value among all environmental parameter values, it is determined that no compensation is made for the modified construction hazard warning threshold;

[0106] When there is a value among all environmental parameters that is greater than the corresponding parameter standard value, it is determined to compensate for the modified construction hazard warning threshold.

[0107] In this embodiment, the environmental parameter values ​​include temperature, humidity, and wind speed, which have a significant impact on the progress of construction activities. Changes in these parameters may be directly related to the performance of construction materials, the operating efficiency of equipment, and the working status of construction personnel, thereby affecting construction risks. Therefore, incorporating environmental parameters into the scope of consideration of the construction hazard early warning system is an important means to improve the comprehensiveness and accuracy of the early warning system.

[0108] In some embodiments of the present application, when determining to compensate for the modified construction hazard warning threshold, calculating the environmental factor influence coefficient of the monitoring area includes:

[0109] Extract all environmental parameter values ​​that are greater than the parameter standard value, and calculate the difference between each parameter standard value and the environmental parameter value;

[0110] Compare the difference with the difference threshold, collect all the differences that are less than or equal to the difference threshold according to the comparison result to establish a first difference set, collect all the differences that are greater than the difference threshold to establish a second difference set, and calculate a first average difference of the first difference set and a second average difference of the second difference set;

[0111] The environmental factor influence coefficient is calculated based on the first average difference and the second average difference; the environmental factor influence coefficient is obtained by the following formula:

[0112]

[0113] Among them, Ef represents the influence coefficient of environmental factors, η1 and η2 represent the weight coefficient of the first average difference and the weight coefficient of the second average difference, and the sum of η1 and η2 is 1, △1 represents the first average difference, △2 represents the second average difference, k represents the adjustment coefficient and k is greater than 1.

[0114] In this embodiment, the setting of weight coefficients η1 and η2 is based on the evaluation of the degree of influence of different environmental parameters. Generally, although the environmental parameter value represented by the first average difference △1 exceeds the standard value, the degree of deviation is relatively small, and may not have a direct impact on the construction or have a small impact, so a lower weight coefficient η1 is assigned. On the contrary, the environmental parameter value represented by the second average difference △2 significantly exceeds the standard value, which is likely to pose a greater threat to construction safety, so a higher weight coefficient η2 needs to be assigned. Such a setting helps to more accurately reflect the degree of influence of environmental factors on the construction hazard warning threshold. The adjustment coefficient k is obtained through historical experience, and its function is to adjust the sensitivity of the environmental factor influence coefficient. When the environmental parameter value deviates far from the standard value, the environmental factor influence coefficient can be made more significant by increasing the k value, thereby highlighting the role of environmental factors in the construction hazard warning. On the contrary, when the environmental parameter value deviates only slightly from the standard value, appropriately reducing the k value can avoid overreaction and ensure the stability and accuracy of the early warning system.

[0115] In some embodiments of the present application, the modified construction hazard warning threshold is compensated according to the environmental factor influence coefficient, and the compensated construction hazard warning threshold is obtained, including:

[0116] Comparing the environmental factor influence coefficient with the first environmental factor influence coefficient and the second environmental factor influence coefficient, and selecting different compensation coefficients according to the comparison result, the compensation coefficients including the first compensation coefficient, the second compensation coefficient and the third compensation coefficient;

[0117] When the environmental factor influence coefficient is less than the first environmental factor influence coefficient, the first compensation coefficient is selected as the compensation coefficient corresponding to the modified construction hazard warning threshold, and the first compensation coefficient and the modified construction hazard warning threshold are multiplied to obtain the compensated construction hazard warning threshold;

[0118] When the environmental factor influence coefficient is greater than or equal to the first environmental factor influence coefficient and less than the second environmental factor influence coefficient, the second compensation coefficient is selected as the compensation coefficient corresponding to the modified construction hazard warning threshold, and the second compensation coefficient and the modified construction hazard warning threshold are multiplied to obtain the compensated construction hazard warning threshold;

[0119] When the environmental factor influence coefficient is greater than or equal to the second environmental factor influence coefficient, the third compensation coefficient is selected as the compensation coefficient corresponding to the modified construction hazard warning threshold, and the third compensation coefficient and the modified construction hazard warning threshold are multiplied to obtain the compensated construction hazard warning threshold.

[0120] In this embodiment, in order to further refine the construction hazard warning system under the influence of environmental factors, we introduce a multi-level compensation mechanism. First, by setting the first environmental factor influence coefficient and the second environmental factor influence coefficient as the reference point, the system can automatically select the corresponding compensation coefficient according to different environmental pressure levels. This design not only improves the flexibility of the early warning system, but also ensures that the accuracy and effectiveness of the early warning can be maintained under different environmental conditions. For the first compensation coefficient, its value is set relatively close to 1, indicating that when the environmental factor has a small impact, the adjustment range of the modified construction hazard warning threshold is not large. This is mainly to avoid the system from overreacting when the environmental parameters deviate slightly from the standard value, thereby affecting the normal progress of the construction. When the environmental factor influence coefficient increases to between the first environmental factor influence coefficient and the second environmental factor influence coefficient, the system will select the second compensation coefficient. The value of this coefficient will be smaller than the first compensation coefficient, which means that when the environmental pressure increases, the system will make a larger downward adjustment to the modified construction hazard warning threshold to warn of potential construction risks in advance. When the environmental factor influence coefficient exceeds the second environmental factor influence coefficient, it means that the current environment has become a very serious threat to construction safety. At this time, the system will activate the third compensation factor, which will be much lower than the first two, to achieve the maximum adjustment of the modified construction hazard warning threshold. This design ensures that under extreme environmental conditions, the system can issue warnings quickly and accurately, providing construction workers with enough time and space to take necessary protective measures.

[0121] In some embodiments of the present application, when judging the construction safety status level of the construction area according to the comparison result, and judging whether to issue a danger warning or alarm according to the construction safety status level, it includes:

[0122] When the construction hazard value is less than the compensation construction hazard warning threshold, the construction safety status level of the construction area is determined to be light, and no hazard warning or hazard alarm is issued;

[0123] When the construction danger value is equal to the compensation construction danger warning threshold, the construction safety status level of the construction area is determined to be intermediate, and a danger warning is issued but no danger alarm is issued;

[0124] When the construction hazard value is greater than the compensation construction hazard warning threshold, the construction safety status level of the construction area is determined to be severe, and a danger alarm is directly issued.

[0125] In this embodiment, the construction behavior data includes construction operation type data, operator information data, and construction equipment status data; the building structure change data includes building structure deformation, stress distribution data, and crack monitoring data. When calculating the construction risk value based on the construction behavior data and building structure change data, the formula is used: Calculation is performed, where P represents the construction hazard value, i=1, 2, ..., 6, μi represents the weight coefficient corresponding to the construction operation type data, operator information data, construction equipment status data, building structure deformation, stress distribution data and crack monitoring data, X1(t) represents the risk score of the construction operation type at time t, X2(t) represents the risk score of the operator information data at time t, X3(t) represents the risk score of the construction equipment status at time t, X4(t) represents the building structure deformation at time t, X5(t) represents the instantaneous value of the stress distribution at time t, X6(t) represents the risk score of the crack monitoring data at time t, and γ and ε represent adjustment parameters, which are obtained through experience.

[0126] In this embodiment, when the construction hazard value is lower than the compensation construction hazard warning threshold, we determine that the construction safety status level of the construction area is "light". At this time, the construction environment is relatively safe, and there is no need for hazard warning or alarm, and construction activities can proceed normally. When the construction hazard value is exactly equal to the compensation construction hazard warning threshold, the construction safety status level rises to "intermediate". At this time, the system begins to issue a hazard warning signal to remind construction personnel to pay attention to potential risks, but it has not yet reached the level of emergency alarm. Finally, when the construction hazard value exceeds the compensation construction hazard warning threshold, the construction safety status level is determined to be "heavy". At this time, the system immediately starts the hazard warning process and sends emergency warnings to construction personnel through various methods such as sound and light signals to ensure that they can quickly take necessary protective measures to avoid construction accidents.

[0127] See also Figure 2 As shown, in some embodiments of the present application, this embodiment provides a method for assessing the safety status of a building construction based on computer vision, comprising the following steps:

[0128] S100: Determine a monitoring area within a construction area, obtain construction stage information of the monitoring area, and determine a construction hazard warning threshold according to the construction stage information; extract corresponding historical construction records from a historical construction record library based on the monitoring area and the construction hazard warning threshold, analyze the historical construction records, and calculate a historical construction deviation coefficient based on the analysis results;

[0129] S200: judging whether it is necessary to revise the construction hazard warning threshold value according to the historical construction deviation coefficient: when it is determined that the construction hazard warning threshold value needs to be revised, setting a correction coefficient corresponding to the construction hazard warning threshold value, and obtaining a revised construction hazard warning threshold value;

[0130] S300: collecting environmental data of the monitoring area, analyzing the environmental data, and judging whether it is necessary to compensate the modified construction hazard warning threshold based on the analysis result: when it is judged that the modified construction hazard warning threshold is to be compensated, calculating the environmental factor influence coefficient of the monitoring area;

[0131] S400: Compensating the modified construction hazard warning threshold according to the environmental factor influence coefficient to obtain a compensated construction hazard warning threshold;

[0132] S500: Collect construction behavior data and building structure change data of the construction area, calculate a construction risk value based on the construction behavior data and building structure change data, compare the construction risk value with a compensation construction risk warning threshold, determine the construction safety status level of the construction area based on the comparison result, and determine whether to issue a risk warning or a risk alarm based on the construction safety status level.

[0133] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0134] The present application is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0135] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0136] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0137] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A construction safety status assessment system based on computer vision, characterized in that: include: The acquisition module is configured to determine a monitoring area within a construction area, obtain construction stage information of the monitoring area, and determine a construction hazard warning threshold according to the construction stage information; and is also configured to extract corresponding historical construction records from a historical construction record library based on the monitoring area and the construction hazard warning threshold, analyze the historical construction records, and calculate a historical construction deviation coefficient based on the analysis results; A judgment module is configured to judge whether the construction hazard warning threshold needs to be corrected according to the historical construction deviation coefficient: when it is determined that the construction hazard warning threshold needs to be corrected, a correction coefficient corresponding to the construction hazard warning threshold is set, and a corrected construction hazard warning threshold is obtained; The judgment module is further configured to control the acquisition module to acquire environmental data of the monitoring area, analyze the environmental data, and judge whether it is necessary to compensate the modified construction hazard warning threshold based on the analysis result: when it is determined that the modified construction hazard warning threshold is to be compensated, calculate the environmental factor influence coefficient of the monitoring area; A processing module is configured to compensate the modified construction hazard warning threshold according to the environmental factor influence coefficient to obtain a compensated construction hazard warning threshold; The early warning module is configured to control the collection module to collect the construction behavior data and the building structure change data of the construction area, calculate the construction risk value according to the construction behavior data and the building structure change data, compare the construction risk value with the compensation construction risk early warning threshold, judge the construction safety status level of the construction area according to the comparison result, and judge whether to issue a risk early warning or a risk alarm according to the construction safety status level.

2. The computer vision-based construction safety status assessment system according to claim 1 is characterized in that: Analyzing the historical construction records and calculating the historical construction deviation coefficient based on the analysis results includes: Analyze the historical construction records to obtain normal construction behaviors and abnormal construction behaviors associated with construction hazards; Determine the construction risk factor corresponding to each abnormal construction behavior associated with a construction hazard, and construct a construction risk factor sequence; Counting a first number of the normal construction behaviors and a second number of the abnormal construction behaviors associated with the construction hazard, and calculating a historical construction deviation coefficient of the monitoring area according to the first number, the second number and a construction risk factor sequence; Among them, C represents the historical construction deviation coefficient, Na represents the second number, Nb represents the first number, n represents the number of the construction risk factors, and Ri represents the i-th construction risk factor in the construction risk factor sequence.

3. The computer vision-based construction safety status assessment system according to claim 2 is characterized in that: When determining the construction risk factors corresponding to each abnormal construction behavior associated with a construction hazard, it includes: Extract the actual construction time and actual material usage corresponding to the abnormal construction behavior associated with the construction hazard, obtain the planned construction time and planned material usage, calculate the first construction time difference according to the actual construction time and the planned construction time, and calculate the first material usage difference according to the actual material usage and the planned material usage; Analyze all normal construction behaviors, determine the construction time and material usage corresponding to each normal construction behavior, and extract the minimum construction time and minimum material usage; Calculate a second construction time difference according to the actual construction time and the minimum construction time, and calculate a second material usage difference according to the actual material usage and the minimum material usage; The construction risk factor corresponding to each construction hazard-related abnormal construction behavior is calculated based on the first construction time difference, the first material usage difference, the second construction time difference, and the second material usage difference; the construction risk factor is obtained by the following formula: Among them, R represents the construction risk factor, α1 and α2 represent the weight coefficient of the first construction time difference and the weight coefficient of the first material usage difference respectively, and the sum of α1 and α2 is 1, β1 and β2 represent the weight coefficient of the second construction time difference and the weight coefficient of the second material usage difference respectively, and the sum of β1 and β2 is 1, △T1 represents the first construction time difference, Tj represents the planned construction time, △M1 represents the first material usage difference, Mj represents the minimum material usage, △T2 represents the second construction time difference, Tm represents the minimum construction time, △M2 represents the second material usage difference, and Mm represents the minimum material usage.

4. The computer vision-based construction safety status assessment system according to claim 3 is characterized in that: When judging whether it is necessary to modify the construction hazard warning threshold according to the historical construction deviation coefficient, it includes: Comparing the historical construction deviation coefficient with the construction deviation coefficient threshold, and judging whether it is necessary to revise the construction hazard warning threshold according to the comparison result; When the historical construction deviation coefficient is less than or equal to the construction deviation coefficient threshold, it is determined that there is no need to modify the construction hazard warning threshold; When the historical construction deviation coefficient is greater than the construction deviation coefficient threshold, it is determined that the construction hazard warning threshold needs to be corrected.

5. The computer vision-based construction safety status assessment system according to claim 4 is characterized in that: Setting the correction coefficient corresponding to the construction hazard warning threshold and obtaining the corrected construction hazard warning threshold includes: The correction coefficients include a first correction coefficient, a second correction coefficient and a third correction coefficient; Calculating a coefficient ratio of the historical construction deviation coefficient and the construction deviation coefficient threshold; When the coefficient ratio is greater than 1 and less than or equal to 1.1, the first correction coefficient is selected as the correction coefficient of the construction hazard warning threshold, and the first correction coefficient and the construction hazard warning threshold are multiplied to obtain the modified construction hazard warning threshold; When the coefficient ratio is greater than 1.1 and less than or equal to 1.3, the second correction coefficient is selected as the correction coefficient of the construction hazard warning threshold, and the second correction coefficient and the construction hazard warning threshold are multiplied to obtain the modified construction hazard warning threshold; When the coefficient ratio is greater than 1.3, the third correction coefficient is selected as the correction coefficient of the construction hazard warning threshold, and the third correction coefficient and the construction hazard warning threshold are multiplied to obtain the corrected construction hazard warning threshold.

6. The computer vision-based construction safety status assessment system according to claim 5 is characterized in that: When judging whether it is necessary to compensate the modified construction hazard warning threshold based on the analysis result, it includes: Collecting environmental parameter values ​​corresponding to the environmental data and determining parameter standard values ​​corresponding to the environmental data; comparing the environmental parameter values ​​with the parameter standard values, and judging whether to compensate for the modified construction hazard warning threshold value according to the comparison result; When there is no value greater than the corresponding parameter standard value among all the environmental parameter values, it is determined that no compensation is performed on the modified construction hazard warning threshold; When there is a value among all the environmental parameter values ​​that is greater than the corresponding parameter standard value, it is determined to compensate the modified construction hazard warning threshold.

7. The computer vision-based construction safety status assessment system according to claim 6 is characterized in that: When determining to compensate the modified construction hazard warning threshold, calculating the environmental factor influence coefficient of the monitoring area includes: Extract all environmental parameter values ​​that are greater than the parameter standard value, and calculate the difference between each parameter standard value and the environmental parameter value; Comparing the difference with a difference threshold, collecting all differences that are less than or equal to the difference threshold according to the comparison result to establish a first difference set, collecting all differences that are greater than the difference threshold to establish a second difference set, and calculating a first average difference of the first difference set and a second average difference of the second difference set; The environmental factor influence coefficient is calculated according to the first average difference and the second average difference; the environmental factor influence coefficient is obtained by the following formula: Among them, Ef represents the influence coefficient of the environmental factor, η1 and η2 represent the weight coefficient of the first average difference and the weight coefficient of the second average difference, and the sum of η1 and η2 is 1, △1 represents the first average difference, △2 represents the second average difference, k represents the adjustment coefficient and k is greater than 1.

8. The computer vision-based construction safety status assessment system according to claim 7 is characterized in that: The modified construction hazard warning threshold is compensated according to the environmental factor influence coefficient to obtain the compensated construction hazard warning threshold, including: Comparing the environmental factor influence coefficient with the first environmental factor influence coefficient and the second environmental factor influence coefficient, and selecting different compensation coefficients according to the comparison result, wherein the compensation coefficients include a first compensation coefficient, a second compensation coefficient and a third compensation coefficient; When the environmental factor influence coefficient is less than the first environmental factor influence coefficient, the first compensation coefficient is selected as the compensation coefficient corresponding to the modified construction hazard warning threshold, and the first compensation coefficient and the modified construction hazard warning threshold are multiplied to obtain the compensated construction hazard warning threshold; When the environmental factor influence coefficient is greater than or equal to the first environmental factor influence coefficient and less than the second environmental factor influence coefficient, the second compensation coefficient is selected as the compensation coefficient corresponding to the modified construction hazard warning threshold, and the second compensation coefficient is multiplied by the modified construction hazard warning threshold to obtain the compensated construction hazard warning threshold; When the environmental factor influence coefficient is greater than or equal to the second environmental factor influence coefficient, the third compensation coefficient is selected as the compensation coefficient corresponding to the modified construction hazard warning threshold, and the third compensation coefficient and the modified construction hazard warning threshold are multiplied to obtain the compensated construction hazard warning threshold.

9. The computer vision-based construction safety status assessment system according to claim 8, characterized in that: When judging the construction safety status level of the construction area according to the comparison result, and judging whether to issue a danger warning or alarm according to the construction safety status level, it includes: When the construction risk value is less than the compensation construction risk warning threshold, the construction safety status level of the construction area is determined to be light, and no risk warning or risk alarm is issued; When the construction risk value is equal to the compensation construction risk warning threshold, the construction safety status level of the construction area is determined to be intermediate, and a risk warning is issued but no risk alarm is issued; When the construction risk value is greater than the compensation construction risk warning threshold, the construction safety status level of the construction area is determined to be severe, and a danger warning is directly issued.

10. A method for assessing the safety status of a building construction based on computer vision, applied to the system for assessing the safety status of a building construction based on computer vision as claimed in any one of claims 1 to 9, characterized in that: include: Determine a monitoring area within a construction area, obtain construction stage information of the monitoring area, and determine a construction hazard warning threshold value according to the construction stage information; extract corresponding historical construction records from a historical construction record library based on the monitoring area and the construction hazard warning threshold value, analyze the historical construction records, and calculate a historical construction deviation coefficient based on the analysis results; Determining whether the construction hazard warning threshold needs to be corrected according to the historical construction deviation coefficient: when it is determined that the construction hazard warning threshold needs to be corrected, setting a correction coefficient corresponding to the construction hazard warning threshold, and obtaining a corrected construction hazard warning threshold; Collecting environmental data of the monitoring area, analyzing the environmental data, and judging whether it is necessary to compensate the modified construction hazard warning threshold based on the analysis result: when it is judged that the modified construction hazard warning threshold is to be compensated, calculating the environmental factor influence coefficient of the monitoring area; Compensating the modified construction hazard warning threshold according to the environmental factor influence coefficient to obtain a compensated construction hazard warning threshold; The construction behavior data and the building structure change data of the construction area are collected, a construction risk value is calculated based on the construction behavior data and the building structure change data, the construction risk value is compared with the compensation construction risk warning threshold, the construction safety status level of the construction area is determined based on the comparison result, and whether to issue a risk warning or a risk alarm is determined based on the construction safety status level.

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