Main tower construction safety intelligent management and control system based on image recognition

Abstract

The invention relates to the technical field of construction safety management, in particular to a main tower construction safety intelligent management and control system based on image recognition, and the system comprises a plurality of management and control terminals which are provided with elevation positioning chips and interaction devices; the demand setting module is used for determining an expected distance of each control terminal in each detection period in the moving process based on the construction range; the positioning module is used for determining the actual position of the management and control terminal; the model building module is used for generating a digital twin model; the association module is used for carrying out association processing on each management and control terminal and the constructor model; the mapping construction module is used for constructing a mapping relation between the management and control terminal and the constructor model; and the analysis module is used for analyzing whether the movement of the management and control terminal is qualified or not based on a comparison result of the actual distance and the expected distance, and the main tower construction safety management and control precision is improved by improving the accuracy of analysis of the movement track of the management and control terminal.

Description

Technical Field

[0001] The present invention relates to the technical field of construction safety management, and in particular to an intelligent management and control system for main tower construction safety based on image recognition. Background Art

[0002] Traditional main tower construction safety management relies mainly on manual inspections and on-site supervision. This approach has many problems. For example, the frequency and coverage of manual inspections are limited, making it difficult to fully and comprehensively grasp the dynamic situation of construction personnel and equipment in real time. On-site supervision is also easily affected by human factors, such as fatigue and negligence, which leads to the failure to timely discover and deal with safety hazards. At the same time, the complex and changeable environment of the construction site, such as weather changes, material stacking, equipment operation, etc., increases the difficulty of safety management. Although some construction safety management systems currently use positioning technology, the positioning accuracy is often not high enough and is easily affected by the construction site environment, such as building obstructions and electromagnetic interference, resulting in inaccurate positioning results and unable to meet the high-precision requirements of construction safety management.

[0003] For example, Chinese patent publication number: CN117474321B discloses a method and system for intelligent identification of construction site risks based on BIM model, including the following steps: A: collecting modeling information; B: constructing BIM model; C: using BIM software to create a safety rule set; D: setting Bluetooth beacons, fixed image acquisition equipment, mobile image acquisition equipment and GPS positioning devices; based on the safety rule set, GPS positioning technology, Bluetooth beacon positioning technology, and image recognition technology, if the construction personnel's position and / or image does not comply with the fall prevention safety rules or the passage safety rules, the processing module will notify the set supervisor through the alarm device. This invention can effectively perform real-time intelligent identification and early warning of various risks at the construction site, thereby eliminating safety hazards in the construction process, improving the timeliness and accuracy of risk identification at the construction site, and ensuring safe construction.

[0004] However, the prior art still has the following problems: The analysis of the movement trajectory of the control terminal is not accurate enough, and for abnormal data that exceeds the threshold, there is a lack of automatic analysis and classification capabilities for the causes of the abnormalities. Summary of the Invention

[0005] To this end, the present invention provides a main tower construction safety intelligent management and control system based on image recognition, which is used to overcome the problems in the existing technology of inaccurate analysis of the movement trajectory of the management and control terminal and lack of automatic analysis and classification capabilities for abnormal data exceeding the threshold.

[0006] To achieve the above objectives, the present invention provides a main tower construction safety intelligent management and control system based on image recognition, comprising: Several control terminals equipped with altitude positioning chips and interactive devices; A demand setting module, connected to the control terminal, for determining the expected distance of each control terminal in each detection cycle during the movement process based on the construction scope; A positioning module, which is connected to the control terminal and includes a plurality of deployed elevation positioning chips arranged at corresponding positions to determine the actual position of the control terminal; A model building module is used to generate a digital twin model, which includes a main tower model and a construction worker model; an association module, which is connected to the control terminal and the model building module respectively, and is used to associate each control terminal with the construction worker model; A mapping construction module, which is connected to the association module and is used to construct a mapping relationship between the control terminal and the construction worker model, so as to display and mark the movement trajectory of each control terminal in the digital twin model; a comparison module, connected to the demand setting module and the positioning module, respectively, for determining the actual distance between a single control terminal and the construction area in a single detection cycle during the construction process, and comparing the actual distance with the corresponding expected distance; an analysis module, which is respectively connected to the control and management terminal, the demand setting module, the positioning module, the model construction module, the association module, the mapping construction module and the comparison module, and is used to analyze whether the movement of the control and management terminal is qualified based on the comparison result of the actual distance and the expected distance, and when it is preliminarily determined that the movement of the control and management terminal is unqualified, make a secondary determination on whether the movement of the control and management terminal is qualified based on the accumulated movement distance of the control and management terminal, or analyze the reasons for the unqualified movement of the control and management terminal.

[0007] Furthermore, the analysis module is used to analyze whether the movement of the control terminal is qualified based on the comparison result of the actual distance and the expected distance, including: Calculate the absolute value of the difference between the actual distance and the expected distance to obtain the distance deviation, If the distance deviation is less than or equal to the first preset distance deviation, the analysis module determines that the movement of the control terminal is qualified; If the distance deviation is greater than the first preset distance deviation and less than or equal to the second preset distance deviation, the analysis module preliminarily determines that the movement of the control terminal is unqualified, and performs a secondary determination on whether the movement of the control terminal is qualified based on the cumulative movement distance of the control terminal; If the distance deviation is greater than the second preset distance deviation, the analysis module determines that the movement of the control terminal is unqualified, and analyzes the reason why the movement of the control terminal is unqualified based on the distance deviation.

[0008] Furthermore, the analysis module is used to perform a secondary determination on whether the movement of the control terminal is qualified based on the cumulative movement distance of the control terminal, including: If the cumulative moving distance is greater than or equal to the preset cumulative moving distance, the movement of the control terminal is determined to be unqualified, and the reason for the unqualified movement of the control terminal is analyzed based on the distance deviation; If the accumulated moving distance is less than the preset accumulated moving distance, the first preset distance deviation is determined to be unqualified, and the first preset distance deviation is corrected based on the accumulated total moving time after the control terminal receives the construction instruction.

[0009] Furthermore, the analysis module is used to correct the first preset distance deviation based on the cumulative total movement time after the control terminal receives the construction instruction, wherein the increase in the first preset distance deviation is negatively correlated with the cumulative total movement time.

[0010] Furthermore, the analysis module is used to analyze the reasons why the movement of the control terminal is unqualified based on the distance deviation, including: Calculating the ratio of the second preset distance deviation to the distance deviation to obtain a distance deviation ratio, If the distance deviation ratio is less than or equal to the first preset distance deviation ratio, determining to obtain the vertical distance between the position of the control terminal at the current time node and the position of the construction area, and analyzing the reason why the movement of the control terminal is unqualified based on the vertical distance; If the distance deviation ratio is greater than the first preset distance deviation ratio and less than or equal to the second preset distance deviation ratio, the distance deviation in the historical record is determined and obtained, and a secondary determination is made on the reason why the movement of the controlled terminal is unqualified based on the time domain dispersion of the distance deviation; If the distance deviation ratio is greater than the second preset distance deviation ratio, it is determined to obtain the historical data reception record of the control terminal, and whether a task change occurs based on the historical data reception record.

[0011] Furthermore, the analysis module is used to analyze the reasons for the unqualified movement of the control terminal based on the vertical distance, including: Calculate the height difference between the control terminal's position at the current time node and the construction area's position to obtain the vertical distance. If the vertical distance is less than or equal to the preset vertical distance, it is determined that the reason for the unqualified movement of the control terminal is a control terminal failure, and an alarm signal is issued; If the vertical distance is greater than the preset vertical distance, it is determined to correct the second preset distance deviation based on the vertical distance.

[0012] Furthermore, the analysis module is configured to correct the second preset distance deviation based on the vertical distance, wherein an increase in the second preset distance deviation is positively correlated with the vertical distance.

[0013] Furthermore, the analysis module is used to perform a secondary determination on the reason why the movement of the control terminal is unqualified based on the time domain dispersion of the distance deviation, including: Get historical data of distance deviation, Calculate the variance of the distance deviation to obtain the time domain discreteness, If the time domain dispersion is less than or equal to the preset time domain dispersion, the reason for the movement of the control terminal to be unqualified is determined to be unreasonable path planning, and a re-planning signal is issued; If the time domain discreteness is greater than the preset time domain discreteness, it is determined that the reason for the unqualified movement of the control terminal is inaccurate positioning, and an elevation positioning chip is additionally deployed.

[0014] Furthermore, the analysis module is used to adjust the number of deployed elevation positioning chips based on the time domain discreteness, wherein the increase in the number of deployed elevation positioning chips is positively correlated with the time domain discreteness.

[0015] Furthermore, the analysis module is used to determine whether a task change occurs based on the historical data reception record, including: If there is an updated reception record, it is determined that the construction task of the control terminal has been changed, and the construction area and expected distance are re-determined based on the received information; If there is no updated reception record, it is determined that the reason for the unqualified movement of the control terminal is a failure of the control terminal, and an alarm signal is issued.

[0016] Compared with the prior art, the beneficial effect of the present invention lies in that, by setting a first preset distance deviation (qualified threshold) and a second preset distance deviation (severely unqualified threshold), the present invention divides the movement status of the control terminal into three levels: qualified, preliminarily unqualified (requiring secondary judgment), and seriously unqualified. For the situation in the "preliminary unqualified" interval (first preset deviation < deviation ≤ second preset deviation), the cumulative moving distance is introduced as a supplementary judgment dimension. If the cumulative moving distance is small (such as short-distance movement), the deviation may be caused by instantaneous interference (such as signal fluctuation), and the secondary judgment can avoid misjudgment; if the cumulative moving distance is large (such as long-distance movement), the persistent deviation is more likely to reflect a real abnormality and an early warning needs to be triggered. When the deviation exceeds the second preset threshold, the system directly determines it as unqualified and analyzes the cause based on the distance deviation. Through cause analysis, subsequent strategy adjustments can be further driven.

[0017] Furthermore, the present invention determines whether the deviation is a single interference or a continuous abnormality by comparing the cumulative movement distance with a preset threshold. In scenarios where signals are susceptible to interference (such as urban canyons, mining areas, and indoor construction), traditional single deviation judgments are prone to frequent false alarms, while the cumulative movement distance reflects the overall trend and reduces the impact of environmental interference. The longer the total cumulative movement time, the greater the device positioning error may be due to factors such as cumulative signal attenuation and device thermal drift. However, in actual applications, long-term movement (such as all-day construction) is often accompanied by more relaxed fault tolerance requirements. A negative correlation correction relationship is established through a machine learning model to balance accuracy and practicality.

[0018] Furthermore, the present invention calculates the distance deviation ratio. When the distance deviation ratio is less than or equal to the first preset distance deviation ratio, the vertical distance between the control terminal and the construction area is directly analyzed. This analysis method can accurately locate the problem of unqualified movement caused by the vertical distance not meeting the requirements, avoids blindly checking other factors, and improves the efficiency of problem diagnosis. When the distance deviation ratio is between the first and second preset values, by analyzing the time domain discreteness of the distance deviation in the historical records, it can be further determined whether there are other dynamic factors (such as changes in the construction environment, equipment failure, etc.) that cause unqualified movement. This secondary judgment method can analyze the problem more comprehensively and avoid misjudgment. The preset values ​​based on the data are determined: the first and second preset distance deviation ratios are obtained through statistical analysis of data in a large number of actual construction scenes. This data-based method ensures the scientificity and rationality of the preset values, avoids errors caused by subjective settings, and can more accurately reflect the actual situation in the construction scene through statistical analysis of actual data, thereby improving the reliability of the entire analysis system.

[0019] Furthermore, the present invention can quickly determine whether the unqualified movement is caused by terminal failure by calculating the vertical distance between the control terminal and the construction area. When the vertical distance is less than or equal to the preset value, it is directly determined to be a terminal failure and an alarm is issued to facilitate timely maintenance or replacement of equipment. When the vertical distance is greater than the preset value, the second preset distance deviation is corrected based on the vertical distance. This dynamic adjustment mechanism can more accurately reflect the changes in the actual construction environment and avoid misjudgment caused by fixed deviation values. By calculating the variance (time domain discreteness) of the distance deviation, the cause of the unqualified movement can be further analyzed. When the variance is less than the preset value, it is determined that the path planning is unreasonable; when the variance is greater than the preset value, it is determined that the path planning is unreasonable. When the value is reached, it is determined that the positioning is inaccurate. This secondary judgment mechanism can analyze the problem more comprehensively, avoid misjudgment of a single factor, and dynamically adjust the deployment quantity of elevation positioning chips based on time domain discreteness. It can flexibly adjust the accuracy of the positioning system according to changes in the actual construction environment to ensure the accuracy and reliability of positioning. By establishing a positive correlation model between the vertical distance and the actual distance deviation, the second preset distance deviation is dynamically corrected. It can flexibly adjust the deviation value according to changes in the actual construction environment. By establishing a positive correlation model between the time domain discreteness and the deployment quantity of elevation positioning chips, the deployment quantity is dynamically adjusted. The number of chips can be flexibly adjusted according to actual positioning needs.

[0020] Furthermore, the present invention can promptly discover whether the construction task of the management and control terminal has changed by checking whether there is an updated reception record. This method can ensure a rapid response to task changes during the construction process, avoid construction confusion or errors caused by failure to promptly handle task changes, and when a task change is detected, redetermine the construction area and expected distance based on the new information received. This dynamic adjustment mechanism can ensure that construction parameters are always consistent with the current task, improve the accuracy and efficiency of construction, and avoid misjudgments caused by task changes by clearly distinguishing between task changes and equipment failures. In the absence of a task change, if the movement of the management and control terminal is unqualified, it can be clearly determined as an equipment failure, and an alarm signal can be issued to facilitate timely repair or replacement of equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a structural block diagram of the main tower construction safety intelligent management and control system based on image recognition of the present invention. Figure 2 A flow chart for analyzing whether the movement of the control terminal is qualified; Figure 3 This is a flow chart of the present invention for analyzing and controlling the reasons for the movement failure of a terminal based on distance deviation analysis; Figure 4 This is a flow chart of the present invention for secondary determination of the reasons for unqualified movement of a control terminal based on the time domain discreteness of the distance deviation. DETAILED DESCRIPTION

[0022] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0023] It should be noted that the data in this embodiment are obtained by comprehensive analysis and evaluation of the historical data of the six months before the current determination and the corresponding historical determination results by the system of the present invention. It can be understood by those skilled in the art that the system of the present invention can determine the above parameters for each of the above parameters by selecting the value with the highest proportion as the preset standard parameter based on the data distribution, using weighted summation to use the obtained value as the preset standard parameter, substituting each historical data into a specific formula and using the value obtained by the formula as the preset standard parameter, or other selection methods, as long as the system of the present invention can clearly define the different specific situations in the single determination process through the obtained values.

[0024] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0025] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0026] See also Figure 1 As shown, it is a structural block diagram of the main tower construction safety intelligent management and control system based on image recognition of the present invention.

[0027] The main tower construction safety intelligent management and control system based on image recognition provided in this embodiment includes: Several control terminals equipped with altitude positioning chips and interactive devices; A demand setting module, connected to the control terminal, for determining the expected distance of each control terminal in each detection cycle during the movement process based on the construction scope; A positioning module, which is connected to the control terminal and includes a plurality of deployed elevation positioning chips arranged at corresponding positions to determine the actual position of the control terminal; A model building module is used to generate a digital twin model, which includes a main tower model and a construction worker model; an association module, which is connected to the control terminal and the model building module respectively, and is used to associate each control terminal with the construction worker model; A mapping construction module, which is connected to the association module and is used to construct a mapping relationship between the control terminal and the construction worker model, so as to display and mark the movement trajectory of each control terminal in the digital twin model; a comparison module, connected to the demand setting module and the positioning module, respectively, for determining the actual distance between a single control terminal and the construction area in a single detection cycle during the construction process, and comparing the actual distance with the corresponding expected distance; an analysis module, which is respectively connected to the control and management terminal, the demand setting module, the positioning module, the model construction module, the association module, the mapping construction module and the comparison module, and is used to analyze whether the movement of the control and management terminal is qualified based on the comparison result of the actual distance and the expected distance, and when it is preliminarily determined that the movement of the control and management terminal is unqualified, make a secondary determination on whether the movement of the control and management terminal is qualified based on the accumulated movement distance of the control and management terminal, or analyze the reasons for the unqualified movement of the control and management terminal.

[0028] See also Figure 2 As shown, it is a flow chart for analyzing whether the movement of the control terminal is qualified.

[0029] Specifically, the analysis module is used to analyze whether the movement of the control terminal is qualified based on the comparison result of the actual distance and the expected distance, including: Calculate the absolute value of the difference between the actual distance and the expected distance to obtain the distance deviation, If the distance deviation is less than or equal to the first preset distance deviation, the analysis module determines that the movement of the control terminal is qualified; If the distance deviation is greater than the first preset distance deviation and less than or equal to the second preset distance deviation, the analysis module preliminarily determines that the movement of the control terminal is unqualified, and performs a secondary determination on whether the movement of the control terminal is qualified based on the cumulative movement distance of the control terminal; If the distance deviation is greater than the second preset distance deviation, the analysis module determines that the movement of the control terminal is unqualified, and analyzes the reason why the movement of the control terminal is unqualified based on the distance deviation.

[0030] In an embodiment of the present invention, the first preset distance deviation is the average value of the actual distance deviations when the actual movements of several identical controlled terminals are qualified, and the second preset distance deviation is the minimum value of the actual distance deviations when the actual movements of several identical controlled terminals are unqualified, but the above values ​​are not limited to this, and technical personnel in this field can also adjust the values ​​according to actual needs.

[0031] The present invention divides the movement status of the control terminal into three levels: qualified, preliminarily unqualified (requires secondary judgment), and seriously unqualified by setting a first preset distance deviation (qualified threshold) and a second preset distance deviation (severely unqualified threshold). For the situation in the "preliminary unqualified" interval (first preset deviation < deviation ≤ second preset deviation), the cumulative movement distance is introduced as a supplementary judgment dimension. If the cumulative movement distance is small (such as short-distance movement), the deviation may be caused by instantaneous interference (such as signal fluctuation), and secondary judgment can avoid misjudgment; if the cumulative movement distance is large (such as long-distance movement), the persistent deviation is more likely to reflect a real abnormality and an early warning needs to be triggered. When the deviation exceeds the second preset threshold, the system directly determines it as unqualified and analyzes the cause based on the distance deviation. Through cause analysis, subsequent strategy adjustments can be further driven.

[0032] Specifically, the analysis module is used to perform a secondary determination on whether the movement of the control terminal is qualified based on the cumulative movement distance of the control terminal, including: If the cumulative moving distance is greater than or equal to the preset cumulative moving distance, the movement of the control terminal is determined to be unqualified, and the reason for the unqualified movement of the control terminal is analyzed based on the distance deviation; If the accumulated moving distance is less than the preset accumulated moving distance, the first preset distance deviation is determined to be unqualified, and the first preset distance deviation is corrected based on the accumulated total moving time after the control terminal receives the construction instruction.

[0033] It is understandable that the elevation positioning chip has measurement errors. A single measurement may cause the deviation to exceed the preset threshold due to signal interference and multipath effects. For example, a tower crane passing by may briefly block the signal, causing positioning jumps. The cumulative movement distance reflects the overall trend over a period of time. If only a single deviation exceeds the preset threshold but the cumulative value does not exceed the standard, it means that it is an occasional error rather than a real violation.

[0034] In an embodiment of the present invention, the preset cumulative moving distance is the average of the cumulative moving distances of several control terminals when they move qualified under the same moving trajectory. The correction of the first preset distance deviation based on the cumulative total moving time after the control terminal receives the construction instruction can be determined by the following method. Through a machine learning model (such as regression analysis), the relationship between the cumulative total moving time and the actual distance deviation in historical data is analyzed, a threshold correction model is established, features (cumulative total moving time, construction area, equipment type) are input, and the target is output: the first preset distance deviation after dynamic adjustment. The analysis module is used to correct the first preset distance deviation based on the cumulative total moving time after the control terminal receives the construction instruction, wherein the increase in the first preset distance deviation is negatively correlated with the cumulative total moving time.

[0035] The present invention determines whether the deviation is a single interference or a continuous abnormality by comparing the cumulative movement distance with a preset threshold. In scenarios where signals are susceptible to interference (such as urban canyons, mining areas, and indoor construction), traditional single deviation judgments are prone to frequent false alarms, while the cumulative movement distance reflects the overall trend and reduces the impact of environmental interference. The longer the total cumulative movement time, the greater the device positioning error may be due to factors such as cumulative signal attenuation and device thermal drift. However, in actual applications, long-term movement (such as all-day construction) is often accompanied by more relaxed fault tolerance requirements. A negative correlation correction relationship is established through a machine learning model to balance accuracy and practicality.

[0036] See also Figure 3 As shown, it is a flowchart of the reasons for the unqualified movement of the control terminal based on distance deviation analysis.

[0037] Specifically, the analysis module is used to analyze the reasons why the movement of the control terminal is unqualified based on the distance deviation, including: Calculating the ratio of the second preset distance deviation to the distance deviation to obtain a distance deviation ratio, If the distance deviation ratio is less than or equal to the first preset distance deviation ratio, determining to obtain the vertical distance between the position of the control terminal at the current time node and the position of the construction area, and analyzing the reason why the movement of the control terminal is unqualified based on the vertical distance; If the distance deviation ratio is greater than the first preset distance deviation ratio and less than or equal to the second preset distance deviation ratio, the distance deviation in the historical record is determined and obtained, and a secondary determination is made on the reason why the movement of the controlled terminal is unqualified based on the time domain dispersion of the distance deviation; If the distance deviation ratio is greater than the second preset distance deviation ratio, it is determined to obtain the historical data reception record of the control terminal, and whether a task change occurs based on the historical data reception record.

[0038] In an embodiment of the present invention, the first preset distance deviation ratio can be determined by the following method: collecting a large amount of movement data of the control terminal in the actual construction scene, including information such as the actual distance of each movement, the expected distance, and the corresponding construction area position; screening these data to find out those cases where the movement is unqualified due to vertical distance problems, that is, the vertical distance between the control terminal and the construction area position during the movement does not meet the requirements, so that the actual distance deviation exceeds the normal range; calculating the distance deviation ratio, for the unqualified data screened out, respectively calculating the ratio of the second preset distance deviation to the actual distance deviation of each data point, performing statistical analysis on the distance deviation ratios corresponding to all data points whose movement is unqualified due to vertical distance problems, and calculating the average value of these ratios to obtain the first preset distance deviation ratio, and the method for determining the second preset distance deviation ratio is the same as the method for determining the first preset distance deviation ratio.

[0039] The present invention calculates the distance deviation ratio. When the distance deviation ratio is less than or equal to the first preset distance deviation ratio, the vertical distance between the control terminal and the construction area is directly analyzed. This analysis method can accurately locate the problem of unqualified movement caused by the vertical distance not meeting the requirements, avoids blindly checking other factors, and improves the efficiency of problem diagnosis. When the distance deviation ratio is between the first and second preset values, by analyzing the time domain discreteness of the distance deviation in the historical records, it can be further determined whether there are other dynamic factors (such as changes in the construction environment, equipment failure, etc.) that cause unqualified movement. This secondary judgment method can analyze the problem more comprehensively and avoid misjudgment. The preset values ​​based on the data are determined: the first and second preset distance deviation ratios are obtained through statistical analysis of data in a large number of actual construction scenes. This data-based method ensures the scientificity and rationality of the preset values, avoids errors caused by subjective settings, and can more accurately reflect the actual situation in the construction scene through statistical analysis of actual data, thereby improving the reliability of the entire analysis system.

[0040] Specifically, the analysis module is used to analyze the reasons why the movement of the control terminal is unqualified based on the vertical distance, including: Calculate the height difference between the control terminal's position at the current time node and the construction area's position to obtain the vertical distance. If the vertical distance is less than or equal to the preset vertical distance, it is determined that the reason for the movement of the control terminal is unqualified is a control terminal failure, and an alarm signal is issued; If the vertical distance is greater than the preset vertical distance, it is determined to correct the second preset distance deviation based on the vertical distance.

[0041] The preset vertical distance described in the embodiment of the present invention can be determined by the following method, and the movement data of a large number of control terminals are collected: these data should include the actual position of each movement, the expected position, the specific position of the construction area (including height information), etc. Ensure that the data covers various construction scenarios and different types of control terminals to improve the universality and accuracy of the preset vertical distance; filter out cases where the movement is unqualified due to vertical distance problems: From the collected data, find out those cases where the vertical distance between the actual position of the control terminal and the construction area position does not meet the requirements, resulting in unqualified movement. These cases should be clearly marked as "unqualified due to vertical distance issues"; calculate the vertical distance of each unqualified case: for each unqualified case screened out, calculate the height difference between the position of the control terminal at the current time node and the construction area position, that is, the vertical distance, count the vertical distances of all unqualified cases, and calculate the average value to obtain the preset vertical distance.

[0042] In an embodiment of the present invention, the increase in the second preset distance deviation is positively correlated with the vertical distance. The correction of the second preset distance deviation based on the vertical distance includes collecting a large amount of movement data of the control terminal, including the actual position, expected position, and specific position of the construction area (including height information) of each movement. For each data point, the height difference (vertical distance) between the position of the control terminal at the current time node and the position of the construction area, as well as the absolute value of the difference between the actual distance and the expected distance (actual distance deviation) are calculated. Through data analysis, a positive correlation model between the vertical distance and the actual distance deviation is established. According to the positive correlation model, the correction coefficient and constant term are determined. These parameters can be obtained by performing regression analysis on historical data. According to the vertical distance, the corrected second preset distance deviation (the sum of the original second preset distance deviation and the vertical distance correction coefficient) is calculated.

[0043] See also Figure 4 As shown, it is a flow chart for secondary determination of the reasons for unqualified movement of the control terminal based on the time domain discreteness of the distance deviation.

[0044] Specifically, the analysis module is used to perform a secondary determination on the reason why the movement of the control terminal is unqualified based on the time domain dispersion of the distance deviation, including: Get historical data of distance deviation, Calculate the variance of the distance deviation to obtain the time domain discreteness, If the time domain dispersion is less than or equal to the preset time domain dispersion, the reason for the movement of the control terminal to be unqualified is determined to be unreasonable path planning, and a re-planning signal is issued; If the time domain discreteness is greater than the preset time domain discreteness, it is determined that the reason for the unqualified movement of the control terminal is inaccurate positioning, and an elevation positioning chip is additionally deployed.

[0045] The preset time domain discreteness described in the embodiment of the present invention can be determined by the following method: collecting a large amount of mobile data of the control terminal: these data should include the actual position, expected position, and specific position of the construction area (including height information) of each movement, and screening out cases where the movement is unqualified due to the time domain discreteness problem: from the collected data, find out those cases where the actual distance deviation of the control terminal changes frequently in the time series, resulting in unqualified movement. These cases should be clearly marked as "unqualified due to time domain discreteness problem"; for each unqualified case screened out, obtain its historical data of distance deviation, calculate the variance of the distance deviation, and obtain the time domain discreteness. Perform statistical analysis on the time domain discreteness of all cases where the movement is unqualified due to the time domain discreteness problem, and calculate the average value as the preset time domain discreteness.

[0046] Specifically, the analysis module is used to adjust the number of deployed elevation positioning chips based on the time domain discreteness, wherein the increase in the number of deployed elevation positioning chips is positively correlated with the time domain discreteness.

[0047] In an embodiment of the present invention, adjusting the number of deployed elevation positioning chips based on the temporal discreteness includes collecting movement data from a large number of control terminals, including the actual location of each movement, the expected location, the specific location of the construction area (including elevation information), and so on. This ensures that the data covers various construction scenarios and different types of control terminals. For each data point, historical data on its distance deviation is obtained, and the variance of the distance deviation is calculated to obtain the temporal discreteness. Through data analysis, a positive correlation model is established between the temporal discreteness and the number of deployed elevation positioning chips. Based on the positive correlation model, an adjustment coefficient and a constant term are determined. Based on the temporal discreteness, the adjusted number of deployed elevation positioning chips is calculated (the sum of the original number of deployed elevation positioning chips, the product of the temporal discreteness, and the positive correlation coefficient).

[0048] The present invention can quickly determine whether the unqualified movement is caused by terminal failure by calculating the vertical distance between the control terminal and the construction area. When the vertical distance is less than or equal to the preset value, it is directly determined to be a terminal failure and an alarm is issued to facilitate timely maintenance or replacement of equipment. When the vertical distance is greater than the preset value, the second preset distance deviation is corrected based on the vertical distance. This dynamic adjustment mechanism can more accurately reflect the changes in the actual construction environment and avoid misjudgment caused by fixed deviation values. By calculating the variance (time domain discreteness) of the distance deviation, the cause of the unqualified movement can be further analyzed. When the variance is less than the preset value, it is determined that the path planning is unreasonable; when the variance is greater than the preset value , it is determined that the positioning is inaccurate. This secondary judgment mechanism can analyze the problem more comprehensively and avoid misjudgment of a single factor. It dynamically adjusts the deployment quantity of elevation positioning chips based on time domain discreteness, and can flexibly adjust the accuracy of the positioning system according to changes in the actual construction environment to ensure the accuracy and reliability of positioning. By establishing a positive correlation model between the vertical distance and the actual distance deviation, the second preset distance deviation is dynamically corrected. The deviation value can be flexibly adjusted according to changes in the actual construction environment. By establishing a positive correlation model between the time domain discreteness and the deployment quantity of elevation positioning chips, the deployment quantity is dynamically adjusted, and the number of chips can be flexibly adjusted according to actual positioning needs.

[0049] Specifically, the analysis module is used to determine whether a task change occurs based on historical data reception records, including: If there is an updated reception record, it is determined that the construction task of the control terminal has been changed, and the construction area and expected distance are re-determined based on the received information; If there is no updated reception record, it is determined that the reason for the unqualified movement of the control terminal is a failure of the control terminal, and an alarm signal is issued.

[0050] The present invention can promptly discover whether the construction task of the management and control terminal has changed by checking whether there is an updated reception record. This method can ensure a rapid response to task changes during the construction process, avoid construction confusion or errors caused by failure to promptly handle task changes, and redetermine the construction area and expected distance based on the new information received when a task change is detected. This dynamic adjustment mechanism can ensure that construction parameters are always consistent with the current task, improve the accuracy and efficiency of construction, and avoid misjudgments caused by task changes by clearly distinguishing between task changes and equipment failures. In the absence of a task change, if the movement of the management and control terminal is unqualified, it can be clearly determined as an equipment failure, and an alarm signal can be issued to facilitate timely repair or replacement of equipment.

[0051] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0052] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. An intelligent control system for main tower construction safety based on image recognition, characterized in that: include: Several control terminals equipped with altitude positioning chips and interactive devices; A demand setting module, connected to the control terminal, for determining the expected distance of each control terminal in each detection cycle during the movement process based on the construction scope; A positioning module, which is connected to the control terminal and includes a plurality of deployed elevation positioning chips arranged at corresponding positions to determine the actual position of the control terminal; A model building module is used to generate a digital twin model, which includes a main tower model and a construction worker model; an association module, which is connected to the control terminal and the model building module respectively, and is used to associate each control terminal with the construction worker model; A mapping construction module, which is connected to the association module and is used to construct a mapping relationship between the control terminal and the construction worker model, so as to display and mark the movement trajectory of each control terminal in the digital twin model; a comparison module, connected to the demand setting module and the positioning module, respectively, for determining the actual distance between a single control terminal and the construction area in a single detection cycle during the construction process, and comparing the actual distance with the corresponding expected distance; an analysis module, connected to the control terminal, the demand setting module, the positioning module, the model building module, the association module, the mapping building module, and the comparison module, respectively, for analyzing whether the movement of the control terminal is qualified based on the comparison result of the actual distance and the expected distance, and if the movement of the control terminal is initially determined to be unqualified, performing a secondary determination on whether the movement of the control terminal is qualified based on the cumulative movement distance of the control terminal, or analyzing the reason for the unqualified movement of the control terminal; Specifically, there is no limitation on the specific structure of the analysis module, which may be composed of logic components, including a field programmable processor, a computer, and a microprocessor in the computer.

2. The main tower construction safety intelligent management and control system based on image recognition according to claim 1 is characterized in that: The analysis module is used to analyze whether the movement of the control terminal is qualified based on the comparison result of the actual distance and the expected distance, including: Calculate the absolute value of the difference between the actual distance and the expected distance to obtain the distance deviation, If the distance deviation is less than or equal to the first preset distance deviation, the analysis module determines that the movement of the control terminal is qualified; If the distance deviation is greater than the first preset distance deviation and less than or equal to the second preset distance deviation, the analysis module preliminarily determines that the movement of the control terminal is unqualified, and performs a secondary determination on whether the movement of the control terminal is qualified based on the cumulative movement distance of the control terminal; If the distance deviation is greater than the second preset distance deviation, the analysis module determines that the movement of the control terminal is unqualified, and analyzes the reason why the movement of the control terminal is unqualified based on the distance deviation.

3. The main tower construction safety intelligent management and control system based on image recognition according to claim 2 is characterized in that: The analysis module is used to perform a secondary determination on whether the movement of the control terminal is qualified based on the cumulative movement distance of the control terminal, including: If the cumulative moving distance is greater than or equal to the preset cumulative moving distance, the movement of the control terminal is determined to be unqualified, and the reason for the unqualified movement of the control terminal is analyzed based on the distance deviation; If the accumulated moving distance is less than the preset accumulated moving distance, the first preset distance deviation is determined to be unqualified, and the first preset distance deviation is corrected based on the accumulated total moving time after the control terminal receives the construction instruction.

4. The main tower construction safety intelligent management and control system based on image recognition according to claim 3 is characterized in that: The analysis module is used to correct the first preset distance deviation based on the cumulative total movement time after the control terminal receives the construction instruction, wherein the increase in the first preset distance deviation is negatively correlated with the cumulative total movement time.

5. The main tower construction safety intelligent management and control system based on image recognition according to claim 3 is characterized in that: The analysis module is used to analyze the reasons why the movement of the control terminal is unqualified based on the distance deviation, including: Calculating the ratio of the second preset distance deviation to the distance deviation to obtain a distance deviation ratio, If the distance deviation ratio is less than or equal to the first preset distance deviation ratio, determining to obtain the vertical distance between the position of the control terminal at the current time node and the position of the construction area, and analyzing the reason why the movement of the control terminal is unqualified based on the vertical distance; If the distance deviation ratio is greater than the first preset distance deviation ratio and less than or equal to the second preset distance deviation ratio, the distance deviation in the historical record is determined and obtained, and a secondary determination is made on the reason why the movement of the controlled terminal is unqualified based on the time domain dispersion of the distance deviation; If the distance deviation ratio is greater than the second preset distance deviation ratio, it is determined to obtain the historical data reception record of the control terminal, and whether a task change occurs based on the historical data reception record.

6. The main tower construction safety intelligent management and control system based on image recognition according to claim 5 is characterized in that: The analysis module is used to analyze the reasons for the unqualified movement of the control terminal based on the vertical distance, including: Calculate the height difference between the control terminal's position at the current time node and the construction area's position to obtain the vertical distance. If the vertical distance is less than or equal to the preset vertical distance, it is determined that the reason for the unqualified movement of the control terminal is a control terminal failure, and an alarm signal is issued; If the vertical distance is greater than the preset vertical distance, it is determined to correct the second preset distance deviation based on the vertical distance.

7. The main tower construction safety intelligent management and control system based on image recognition according to claim 6 is characterized in that: The analysis module is configured to correct the second preset distance deviation based on the vertical distance, wherein an increase in the second preset distance deviation is positively correlated with the vertical distance.

8. The main tower construction safety intelligent management and control system based on image recognition according to claim 5 is characterized in that: The analysis module is used to perform a secondary determination on the reason why the movement of the control terminal is unqualified based on the time domain dispersion of the distance deviation, including: Get historical data of distance deviation, Calculate the variance of the distance deviation to obtain the time domain discreteness, If the time domain dispersion is less than or equal to the preset time domain dispersion, the reason for the movement of the control terminal to be unqualified is determined to be unreasonable path planning, and a re-planning signal is issued; If the time domain discreteness is greater than the preset time domain discreteness, it is determined that the reason for the unqualified movement of the control terminal is inaccurate positioning, and an elevation positioning chip is additionally deployed.

9. The main tower construction safety intelligent management and control system based on image recognition according to claim 8 is characterized in that: The analysis module is used to adjust the number of deployed elevation positioning chips based on the time domain dispersion, wherein the increase in the number of deployed elevation positioning chips is positively correlated with the time domain dispersion.

10. The main tower construction safety intelligent management and control system based on image recognition according to claim 5 is characterized in that: The analysis module is used to determine whether a task change occurs based on historical data reception records, including: If there is an updated reception record, it is determined that the construction task of the control terminal has been changed, and the construction area and expected distance are re-determined based on the received information; If there is no updated reception record, it is determined that the reason for the unqualified movement of the control terminal is a failure of the control terminal, and an alarm signal is issued.

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