Tower combination construction management system and method based on three-dimensional digital simulation model

Abstract

The invention discloses a tower construction management system and method based on a three-dimensional digital simulation model, and relates to the technical field of tower construction management. The tower assembling construction management method based on the three-dimensional digital simulation model comprises the following steps: S1, acquiring derrick data in a tower assembling construction process in real time, and performing data cleaning and standardization processing on the derrick data; s2, constructing a three-dimensional simulation model of the tower body and the derrick, calculating a structure risk assessment value, assessing a current structure state and configuring a structure adjustment strategy; s3, calculating an operation risk assessment value based on the derrick data, comparing the operation risk assessment value with an operation threshold value in real time, identifying an operation abnormal behavior and configuring an operation adjustment strategy; and S4, calculating an intervention evaluation value, and judging whether to enter a high-risk active intervention process or not based on the intervention evaluation value. The problem that safety accidents possibly occur due to the fact that the abnormal states of the holding pole and the tower section cannot be recognized in real time is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of tower construction management, in particular to a tower construction management system and method based on a three-dimensional digital simulation model. BACKGROUND

[0002] With the rapid development of the power industry and the continuous advancement of national energy infrastructure construction, the construction scale of power transmission lines is showing a high growth trend. As the core supporting structure of the line project, the quality and efficiency of the tower assembly construction directly affect the project schedule, safety and stability. However, the traditional tower construction method widely used at present has exposed a series of key problems in practical application.

[0003] For example, the invention with the announcement number CN111652964B provides a power inspection unmanned aerial vehicle auxiliary positioning method and system based on digital twinning, relating to the field of power inspection. It includes the following steps: obtaining pole tower three-dimensional point cloud data, pole tower basic data, pole tower geographic data, unmanned aerial vehicle three-dimensional point cloud data, unmanned aerial vehicle basic data, unmanned aerial vehicle flight control data, and pole tower surrounding environment three-dimensional point cloud data; processing the three-dimensional point cloud data based on digital twinning technology to obtain three three-dimensional models; combining the three models to obtain a power inspection digital twinning scene.

[0004] For example, CN117973584A discloses a wind turbine generator tower weight prediction method, device and equipment. When predicting the weight of the tower to be predicted, only the model of the tower to be predicted, the first load component value and the size parameters of each cylinder section are needed. According to the above data, all parameters required for calculating the tower weight can be determined, and thus the tower weight can be calculated according to the determined parameters. According to the embodiment of the present application, for a tower of a certain model, only a single load input, i.e. the first load component value and the size parameters of each cylinder section, are needed to quickly calculate the more accurate tower weight.

[0005] Secondly, the safety risk in the construction process is high. The tower structure is high and the components are heavy, and the construction needs to be completed in the high-altitude condition, and a large number of large holding pole devices and personnel cooperation are needed, which is easy to cause accidents due to abnormal equipment posture or operation errors. According to the annual statistical data of some power construction units, the safety accident rate caused by high-altitude operation or equipment operation in the tower assembly process is about 0.3 per 10,000 towers, which is an important factor restricting the safety control level of the project.

[0006] Therefore, in view of the above problems, a tower construction management system and method based on a three-dimensional digital simulation model are urgently needed. SUMMARY

[0007] Technical problems solved In view of the deficiencies of the prior art, the application provides a tower assembly construction management system and method based on a three-dimensional digital simulation model, and solves the problem that safety accidents may occur due to the inability to identify abnormal states of a holding pole and a tower segment in real time.

[0008] Technical scheme

[0009] To achieve the above object, the application is implemented by the following technical scheme: a tower assembly construction management method based on a three-dimensional digital simulation model, comprising the following steps: S1, collecting holding pole data in a tower assembly construction process in real time, and performing data cleaning and standardization processing on the holding pole data; S2, constructing a three-dimensional simulation model of a tower body and a holding pole, calculating a structural risk evaluation value, evaluating a current structural state, and configuring a structural adjustment strategy; S3, calculating an operation risk evaluation value based on the holding pole data, comparing the operation risk evaluation value and an operation threshold value in real time, identifying abnormal operation behaviors, and configuring an operation adjustment strategy; and S4, calculating an intervention evaluation value, and determining whether to enter a high-risk active intervention process based on the intervention evaluation value.

[0010] Further, the specific steps of collecting holding pole data in a tower assembly construction process in real time are as follows: collecting holding pole data in a tower assembly construction process in real time, the holding pole data including a holding pole inclination angle, a holding pole bottom pressure, a holding pole top tension, a holding pole waist hoop tension, a ground anchor tension, and a holding pole lifting speed; wherein the holding pole inclination angle is obtained in real time by installing a three-axis inclination sensor at each segment of the holding pole, and the holding pole inclination angle includes a holding pole pitch angle and a holding pole roll angle; the holding pole bottom pressure is obtained by arranging a piezoelectric film sensor at a contact point between the holding pole and the ground; the holding pole top tension is obtained by installing a tension sensor at a connection between a main sling and the top of the holding pole; the holding pole waist hoop tension is obtained by arranging a tension sensor at a waist hoop support point connecting the holding pole and the tower body; the ground anchor tension is obtained by a tension sensor arranged at a connection between an anchoring end and a steel cable; and the holding pole lifting speed is obtained by an external winch wheel speed sensor on the holding pole.

[0011] Further, the specific steps of performing data cleaning and standardization processing on the holding pole data are as follows: using a sliding window method combined with a mutation detection algorithm to detect and eliminate holding pole data obviously deviating from the mean value; using interval sampling monitoring combined with a linear interpolation method to fill in short-time missing holding pole data; using a Kalman filter algorithm to denoise the holding pole data to obtain smooth holding pole data; and using a maximum and minimum standardization algorithm to normalize the holding pole data, and converting the holding pole data into a unified standard range.

[0012] Further, the specific steps for constructing the 3D simulation model of the tower and the mast are as follows: The design drawings of the transmission tower and mast are analyzed using AI drawing recognition technology. Optical character recognition technology is used to extract the component outlines, dimensions, materials, and connection information, which are then converted into parametric modeling data. BIM modeling tools are used to generate 3D models of the tower and mast, assigning geometric attributes and material mechanics parameters according to component categories. After modeling, the model is imported into the ANSYS simulation platform for finite element discretization. Long components such as the tower and mast are divided into beam elements, while nodes and connecting plates are modeled as solid elements. The collected mast data is input into the simulation engine as driving loads through a data interface, achieving synchronous linkage and dynamic calculation between the 3D simulation model and the on-site conditions. The deviation between the simulation feedback values ​​and real-time sensor data is compared in real time, and the boundary conditions of the 3D simulation model are automatically corrected to maintain simulation accuracy.

[0013] Further, the specific steps for calculating the structural risk assessment value, evaluating the current structural state, and configuring structural adjustment strategies are as follows: Obtain the pole tilt angle, pole bottom pressure, pole top tension, pole waist clamp tension, ground anchor tension, and pole lifting speed; set the maximum allowable tilt angle, maximum axial force, and maximum safe lifting speed of the pole; add the absolute values ​​of the current pole pitch angle and pole roll angle, divide by the maximum tilt angle, and multiply the resulting ratio by the tilt angle weight as the first part; add the pole top tension, pole waist clamp tension, and ground anchor tension, subtract the pole bottom pressure, divide by the maximum axial force, and multiply the resulting ratio by the force weight as the second part; divide the pole lifting speed by the maximum safe lifting speed and multiply by the speed weight as the third part; add the three parts together to obtain the structural risk. The assessment value is calculated and then compared with the structural risk assessment value and the structural threshold in real time. The structural threshold includes the primary structural threshold and the secondary structural threshold. When the structural risk assessment value is less than or equal to the primary structural threshold, the current structure is safe and no adjustment is required. When the structural risk assessment value is greater than the primary structural threshold but less than the secondary structural threshold, the current structure's posture and stress have deviated, and the lifting speed of the gantry is reduced. The tension of the external guy wires is checked, and the external guy wires are replaced if the tension check fails. When the structural risk assessment value is greater than or equal to the secondary structural threshold, the current structure has a tendency to become unstable and has a risk of exceeding the stress limit. A forced stop command is sent to the lifting device through the communication interface to lock the tower section position, release the auxiliary guy wire tension, activate the emergency support, and stop all construction actions related to the current tower section.

[0014] Further, the specific steps of calculating the operation risk assessment value based on the data of the holding pole are as follows: obtaining the holding pole pitch angle, the holding pole roll angle, the holding pole bottom pressure, the holding pole top tension, the holding pole waist hoop tension and the holding pole lifting speed; squaring the holding pole pitch angle and the holding pole roll angle respectively and then adding them together, squaring the difference between the holding pole top tension and the holding pole bottom pressure, multiplying the two results to obtain the numerator; taking the absolute value of the difference between the ground anchor tension and the waist support tension and adding 1 to obtain the denominator, calculating the ratio of the numerator to the denominator; taking the natural logarithm of the holding pole lifting speed plus 1 and then multiplying the ratio of the numerator to the denominator to obtain the operation risk assessment value.

[0015] Further, the specific steps of real-time comparison of the operation risk assessment value and the operation threshold value, identification of abnormal operation behavior and configuration of operation adjustment strategy are as follows: after obtaining the operation risk assessment value, real-time comparison of the operation risk assessment value and the operation threshold value is performed, the operation threshold value including a first operation threshold value and a second operation threshold value; when the operation risk assessment value is less than or equal to the first operation threshold value, the current operation behavior is stable and no intervention is needed; when the operation risk assessment value is greater than the first operation threshold value and less than the second operation threshold value, the current operation deviates, a pop-up window is prompted on the operation terminal to indicate that the operation behavior deviates, the holding pole lifting speed is slowed down, and the connection state of the waist hoop and the tension distribution of the external pull line are simultaneously prompted to avoid unilateral load deviation; when the operation risk assessment value is greater than the second operation threshold value, the current operation behavior is highly abnormal, the operation interface is highlighted in red and flashes, hoisting is immediately stopped, abnormal data snapshots are automatically generated, all related variable values and deviation amplitudes are recorded, and the data are pushed to a remote dispatch platform.

[0016] Further, the specific steps of calculating the intervention assessment value are as follows: obtaining the structure risk assessment value, the operation risk assessment value, the second structure threshold value and the second operation threshold value; squaring the structure risk assessment value and dividing it by the square of the second structure threshold value to obtain the first part; squaring the operation risk assessment value and dividing it by the square of the second operation threshold value to obtain the second part; dividing the product of the structure risk assessment value and the operation risk assessment value by the sum of the two values and multiplying the result by the risk weight to obtain the third part; summing the three parts and then averaging them to obtain the intervention assessment value.

[0017] Further, the specific steps of determining whether to enter the high-risk active intervention process based on the intervention evaluation value are as follows: after obtaining the intervention evaluation value, the intervention evaluation value is compared with the intervention threshold value in real time, when the intervention evaluation value is less than or equal to the intervention threshold value, the high-risk active intervention process is not entered; when the intervention evaluation value is greater than the intervention threshold value, the high-risk active intervention process is entered; a high-risk intervention instruction request is generated and sent; the current operation process state and device control authority are queried, the device control interface is called, the locking instruction is sent to the device end through the communication channel, the jib lifting, hoisting and movement operations are forcibly stopped, and the tower segment construction state is set to frozen; the edge device is linked to record all key data at the time when the abnormal state is triggered, and the key data is written into the construction safety log file to form a complete file of an intervention event; according to the abnormal identification position, an automatic intervention suggestion list is generated, including: adjusting the jib support point, re-tightening the outer stay wire, replacing the waist hoop connecting piece, resetting the tension system and manually checking the sensor installation state, and the automatic intervention suggestion information is synchronously displayed on the field terminal and the background; the operation scheduling state of the current tower segment and the adjacent construction link is automatically updated, and is marked as a to-be-reviewed state, and the scheduling authority of the subsequent associated task is frozen to prevent the operation from continuing with the disease; an intervention review confirmation process is provided through a man-machine confirmation interface, and the site responsible person completes problem checking, manual checking and sensor state confirmation and submits the results; after the review process is completed, the operation process is automatically unlocked, and the scheduling authority is restored; all intervention actions, execution records, manual review processes and results are pushed to the safety management platform to form a multi-level audit chain for subsequent safety evaluation.

[0018] The second aspect of the present application provides a tower erection construction management system based on a three-dimensional digital simulation model, comprising: a jib data acquisition preprocessing module, a three-dimensional simulation model driving and structure evaluation module, an operation behavior evaluation and adjustment module, and an active intervention control and safety closed loop module, wherein: the jib data acquisition preprocessing module is used for real-time acquisition of jib data in the tower erection construction process, and data cleaning and standardization processing of the jib data; the three-dimensional simulation model driving and structure evaluation module is used for constructing a three-dimensional simulation model of the tower body and the jib, calculating a structure risk evaluation value, evaluating the current structure state and configuring a structure adjustment strategy; the operation behavior evaluation and adjustment module is used for calculating an operation risk evaluation value based on the jib data, comparing the operation risk evaluation value with an operation threshold value in real time, identifying an operation abnormal behavior and configuring an operation adjustment strategy; the active intervention control and safety closed loop module is used for calculating an intervention evaluation value, and determining whether to enter a high-risk active intervention process based on the intervention evaluation value.

[0019] Beneficial effects

[0020] The present application has the following beneficial effects: (1) The tower assembly construction management system and method based on a three-dimensional digital simulation model, by constructing a structure risk assessment value and an operation risk assessment value calculation model and setting a judgment mechanism, independently modeling and discriminating the structure safety state and the construction behavior anomaly, breaking through the limitations of the traditional system relying on a single parameter threshold early warning, realizing multi-layer identification and classification response to potential risks.

[0021] (2) The tower assembly construction management system and method based on a three-dimensional digital simulation model, by constructing an intervention assessment value formula based on structure risk and operation behavior risk, introducing a nonlinear coupling factor and an adaptive weight, the system can more accurately identify high-risk trigger conditions, provide quantitative basis for automatic locking and stopping construction, effectively solve the problems of risk perception delay and response mismatch in existing systems.

[0022] (3) The tower assembly construction management system and method based on a three-dimensional digital simulation model, after the system identifies abnormal state, it can automatically complete data recording, instruction issuing, operation freezing, intervention suggestion generation and artificial review, etc. Full-process response, forming a closed-loop system from risk discovery to execution control to artificial unlocking, ensuring that the construction process has a clear controllable path under each risk level.

[0023] (4) The tower assembly construction management system and method based on a three-dimensional digital simulation model, by optical recognition technology to extract design drawing information and convert it into parameterized modeling data, realize the construction of three-dimensional model consistent with the actual structure, combined with finite element simulation fine division and dynamic load mapping, significantly improve the real correspondence ability and model credibility of structure simulation.

[0024] Of course, implementing any product of the present application does not necessarily require all the advantages described above. BRIEF DESCRIPTION OF DRAWINGS

[0025] Figure 1 The tower assembly construction management method based on a three-dimensional digital simulation model is a flow chart; Figure 2 The tower assembly construction management system based on a three-dimensional digital simulation model is a structure diagram; Figure 3 The influence curve of the pole lifting speed on the structure risk assessment value; Figure 4 The influence curve of the ground anchor tension on the operation risk assessment value. DETAILED DESCRIPTION

[0026] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0027] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application. Figures 1-4 The embodiments of the present application provide a technical solution: a tower assembly construction management system and method based on a three-dimensional digital simulation model, comprising the following steps: S1, collecting pole holding data in the tower assembly construction process in real time, and performing data cleaning and standardization processing on the pole holding data; S2, constructing a three-dimensional simulation model of the tower body and the pole holding, calculating a structure risk evaluation value, evaluating the current structure state and configuring a structure adjustment strategy; S3, calculating an operation risk evaluation value based on the pole holding data, comparing the operation risk evaluation value and an operation threshold value in real time, identifying abnormal operation behaviors and configuring an operation adjustment strategy; S4, calculating an intervention evaluation value, and determining whether to enter a high-risk active intervention process based on the intervention evaluation value.

[0028] Specifically, the specific steps of collecting the pole holding data in the tower assembly construction process in real time are as follows: collecting the pole holding data in the tower assembly construction process in real time, the pole holding data including a pole holding inclination angle, a pole holding bottom pressure, a pole holding top tension, a pole holding waist hoop tension, a ground anchor tension, and a pole holding lifting speed; wherein the pole holding inclination angle is obtained in real time by installing a three-axis inclination angle sensor at each section of the pole holding, the pole holding inclination angle including a pole holding pitch angle and a pole holding roll angle, the three-axis inclination angle sensor outputs spatial posture change information at a certain frequency, which is used to dynamically restore the spatial posture change of the pole holding in the construction process; the pole holding bottom pressure is obtained by arranging a piezoelectric film sensor at the contact point between the pole holding and the ground, the piezoelectric sensor has high sensitivity to vertical support force change and is suitable for ground load fluctuation detection; the pole holding top tension is obtained by installing a tension sensor at the connection between the main sling and the top of the pole holding, the tension sensor is a special type for steel cable, which can accurately reflect the longitudinal traction force change in the lifting process; the pole holding waist hoop tension is obtained by arranging a tension sensor at the waist hoop support point of the connection between the pole holding and the tower body, the sensor at the waist hoop can monitor the reverse force of the structure caused by the butt joint of the tower body during the tower assembly process; the ground anchor tension is obtained by arranging a tension sensor at the connection between the anchoring end and the steel cable, the ground anchor tension data is used to reflect the horizontal stability state and the tension degree of the external pull line; the pole holding lifting speed is obtained by arranging an external winch wheel speed sensor on the pole holding, the sensor converts displacement speed based on hub rotation rate, and outputs the motion speed information of the pole holding along the vertical direction in real time.

[0029] In the embodiment, a full-data acquisition system covering the attitude of the holding pole, the vertical force, the horizontal tension and the movement speed is constructed through the cooperative arrangement of multiple types of high-precision sensors, and the overall perception and real-time monitoring of the working state of the holding pole in the whole process of tower erection are realized, thereby providing stable and accurate raw data support for subsequent risk identification, simulation modeling and safety control.

[0030] Specifically, the specific steps of data cleaning and standardization processing of the holding pole data are as follows: the sliding window method is used in combination with a mutation detection algorithm to detect and eliminate the holding pole data obviously deviating from the mean value, wherein the sliding window can be set to a fixed time span and combined with a historical fluctuation baseline to eliminate the instantaneous mutation values in the holding pole pitch angle, the holding pole roll angle and the holding pole top tension; the interval sampling monitoring is used in combination with a linear interpolation method to fill in the short-time missing holding pole data, and when the sampling time interval exceeds twice the normal period, the linear interpolation is automatically performed on the holding pole bottom pressure, the ground anchor tension and the holding pole lifting speed; the Kalman filter algorithm is used to denoise the holding pole data to obtain smooth holding pole data, the algorithm dynamically smooths the holding pole data based on the prediction-correction mechanism and suppresses the high-frequency noise generated in the sensor measurement; and the maximum-minimum standardization algorithm is used to normalize the holding pole data, so as to convert the holding pole data into a unified standard range, so that all the key data including the holding pole pitch angle, the holding pole roll angle, the holding pole top tension, the holding pole waist tension, the ground anchor tension, the holding pole bottom pressure and the holding pole lifting speed have comparability and unified input scale, and are suitable for subsequent modeling calculation.

[0031] In the embodiment, through the multi-stage data cleaning and standardization processing flow, the mutation abnormalities in the holding pole data are effectively eliminated, the short-time missing is filled in, the random noise is smoothed, and all kinds of physical quantities are unified to the standardized numerical range, thereby significantly improving the integrity, continuity and comparability of the holding pole pitch angle, the holding pole roll angle, the holding pole top tension, the holding pole bottom pressure, the holding pole waist tension, the ground anchor tension and the holding pole lifting speed, reducing the influence of sensor errors and collection deviations on the subsequent modeling calculation results, providing a high-quality data basis for accurate calculation of the structural risk assessment value and the operation risk assessment value, and further guaranteeing the accuracy and stability of three-dimensional simulation and risk judgment.

[0032] Specifically, the steps for constructing the 3D simulation model of the tower and the scaffolding are as follows: The design drawings of the transmission tower and scaffolding are analyzed using AI drawing recognition technology. Optical character recognition technology is used to extract the component outlines, dimensions, materials, and connection information, which are then converted into parametric modeling data. The extracted information includes the geometric outlines of the tower components, the arrangement of connection nodes, the structural parameters of the scaffolding, and the configuration of typical load-bearing components. A BIM modeling tool is then used to generate the 3D model of the tower and scaffolding. Geometric attributes and material mechanics parameters are assigned according to component type, including steel type, cross-sectional dimensions, elastic modulus, and yield strength, ensuring that the modeling results have realistic structural mechanics significance. After modeling, the model is imported into the ANSYS simulation platform for finite element discretization, where long components such as the tower are divided into beam elements. Nodes and connecting plates are modeled as solid elements to ensure high-precision response capabilities in terms of force transmission paths, stiffness distribution, and local stress concentration. Data collected from the gantry crane is input into the simulation engine as driving loads via a data interface. This includes gantry crane pitch angle, gantry crane roll angle, gantry crane top tension, gantry crane waist hoop tension, gantry crane bottom pressure, ground anchor tension, and gantry crane lifting speed. These are mapped to the model's boundary conditions and force inputs, enabling synchronous linkage and dynamic calculation between the 3D simulation model and the actual field conditions. The deviation between simulation feedback values ​​and real-time sensor data is compared in real time. Residual analysis and boundary inversion algorithms are used to automatically correct the boundary conditions of the 3D simulation model, dynamically updating force inputs and constraint parameters to maintain simulation accuracy and ensure a high degree of consistency between simulation results and actual field conditions.

[0033] In this implementation plan, by integrating AI drawing recognition, parametric modeling, BIM modeling, and finite element analysis technologies, a three-dimensional simulation model of the tower and scaffolding with high structural accuracy and realistic physical properties is constructed. By injecting scaffolding pitch angle, scaffolding roll angle, scaffolding top tension, scaffolding waist hoop tension, scaffolding bottom pressure, ground anchor tension, and scaffolding lifting speed in real time, the model achieves synchronous linkage with the actual construction status. At the same time, the simulation boundary conditions are automatically corrected based on the deviation between simulation feedback and measured data, ensuring the real-time performance and accuracy of the model response, and providing highly consistent and reliable computational support for structural status assessment and risk determination.

[0034] Specifically, the specific steps of calculating the structural risk evaluation value, evaluating the current structure state and configuring the structure adjustment strategy are as follows: obtaining the derrick inclination angle, the derrick bottom pressure, the derrick top tension, the derrick waist hoop tension, the ground anchor tension and the derrick lifting speed, setting the maximum allowed inclination angle of the derrick, the maximum axial force and the maximum safe lifting speed; adding the absolute values of the current derrick pitch angle and the derrick roll angle of the derrick, dividing the sum by the maximum inclination angle, multiplying the obtained ratio by the inclination weight as the first part; adding the derrick top tension, the derrick waist hoop tension and the ground anchor tension, subtracting the derrick bottom pressure, dividing the result by the maximum axial force, multiplying the obtained ratio by the force weight as the second part; dividing the derrick lifting speed by the maximum safe lifting speed, multiplying the result by the speed weight as the third part; wherein the inclination weight, the force weight and the speed weight are obtained by fitting training through a multi-objective optimization method in combination with the corresponding inclination deviation degree, the force overrun times and the warning event frequency caused by speed change in the historical construction process, and the values of the three weights are in the range of [0, 1]; adding the three parts to obtain the structural risk evaluation value; after obtaining the structural risk evaluation value, comparing the structural risk evaluation value with the structure threshold value in real time, the structure threshold value includes a primary structure threshold value and a secondary structure threshold value; when the structural risk evaluation value is less than or equal to the primary structure threshold value, the current structure is safe and no adjustment is needed; when the structural risk evaluation value is greater than the primary structure threshold value and less than the secondary structure threshold value, the current structure posture and force deviate, and the derrick lifting speed is reduced; the external pull line tension is reviewed, and the external pull line is replaced when the tension review is unqualified; when the structural risk evaluation value is greater than or equal to the secondary structure threshold value, the current structure has a tendency of instability and a risk of force overrun, a forced stop instruction is sent to the lifting device through a communication interface, the tower segment position is locked, the auxiliary pull line tension is released, the emergency support is enabled, and all construction actions related to the current tower segment are stopped.

[0035] wherein the specific calculation formula of the structural risk evaluation value is: ; In the formula, R represents the structural risk evaluation value, a represents the inclination weight, β represents the force weight, γ represents the speed weight, θ p represents the derrick pitch angle, θ r represents the derrick roll angle, θ max represents the maximum inclination angle, F t represents the derrick top tension, F w represents the derrick waist hoop tension, F a represents the ground anchor tension, F b represents the derrick bottom pressure, F1 represents the maximum axial force, v represents the derrick lifting speed, and v max represents the maximum safe lifting speed.

[0036] In this case, the structure risk assessment sample data table in Table 1 records the structure risk assessment values obtained under different lifting speeds of five samples. Each sample includes the derrick pitch angle, the derrick roll angle, the derrick top tension, the derrick waist tension, the anchor tension, the derrick bottom pressure, and the derrick lifting speed. In sample 1, the derrick pitch angle is 2 degrees, the derrick roll angle is 1 degree, the derrick top tension is 3000 N, the derrick waist tension is 2000 N, the anchor tension is 2500 N, the derrick bottom pressure is 1000 N, and the derrick lifting speed is 0.2 m / s, and the corresponding calculated structure risk assessment value is 0.42; sample 2 increases the derrick lifting speed to 0.4 m / s under the same attitude and force conditions, and the corresponding structure risk assessment value rises to 0.46; sample 3 keeps other variables unchanged and only increases the derrick lifting speed to 0.6 m / s, and the calculated structure risk assessment value is 0.50; the derrick lifting speed of sample 4 is set to 0.8 m / s, and the structure risk assessment value further rises to 0.54; and under the derrick lifting speed of 1.0 m / s, the structure risk assessment value of sample 5 reaches 0.58.

[0037] Table 1 Structure risk assessment value data table

[0038] Figure 3 For the influence curve of the derrick lifting speed on the structure risk assessment value, Table 1 and Figure 3 It can be seen that under the condition that other variables remain unchanged, the derrick lifting speed and the structure risk assessment value have a clear positive correlation, the faster the derrick lifting speed, the higher the structure risk assessment value, and the risk level rises accordingly. This shows that the derrick lifting speed is an important factor affecting the structure safety, which needs to be strictly controlled and monitored in actual construction process to prevent attitude instability and abnormal stress caused by too fast derrick lifting speed, thereby causing structure safety hazards.

[0039] In this embodiment, by constructing a structure risk assessment model that integrates the derrick pitch angle, the derrick roll angle, the derrick top tension, the derrick waist tension, the anchor tension, the derrick bottom pressure, and the derrick lifting speed, quantitative judgment of the current structure state of the tower body and the derrick is realized, and structure adjustment strategies are configured according to the assessment results; combined with the set first and second structure thresholds, the system can accurately identify the structure slightly deviating and the high-risk instability state, dynamically execute the speed reduction control, the tension line review, the replacement, and the emergency support, form a linkage mechanism from risk identification to automatic triggering of control instructions, and effectively guarantee the safety and controllability of the structure operation in the tower assembly process.

[0040] Specifically, the specific steps of calculating the operation risk assessment value based on the data of the holding pole are as follows: obtaining the holding pole pitch angle, the holding pole roll angle, the holding pole bottom pressure, the holding pole top tension, the holding pole waist hoop tension and the holding pole lifting speed, and the obtained data are all standardized; the holding pole pitch angle and the holding pole roll angle are squared and added, which is used to reflect the total amplitude of the posture deviation of the holding pole in the three-dimensional space; the square of the difference between the holding pole top tension and the holding pole bottom pressure is used to quantify the imbalance degree of the vertical force; the product of the two results is taken as the numerator to form the comprehensive disturbance after the coupling of the posture deviation and the vertical force; the absolute value of the difference between the ground anchor tension and the holding pole waist hoop tension is added by 1 to form the denominator, which is used to measure the stability of the horizontal tension system and introduce a balance factor; the ratio of the numerator and the denominator is calculated to obtain the risk deviation intensity under the current operation state; the natural logarithm of the holding pole lifting speed plus 1 is taken to describe the dynamic adjustment effect of the operation speed, and then multiplied by the ratio of the numerator and the denominator, combined with the amplification effect of the speed on the abnormal expansion, and finally the operation risk assessment value is obtained.

[0041] The specific calculation formula of the operation risk assessment value is as follows: ; In the formula, S represents the operation risk assessment value, θ p represents the holding pole pitch angle, θ r represents the holding pole roll angle, F t represents the holding pole top tension, F w represents the holding pole waist hoop tension, F a represents the ground anchor tension, F b represents the holding pole bottom pressure, and v represents the holding pole lifting speed.

[0042] In this case, Table 2 records the operation risk assessment value data table of five samples in the holding pole operation process and the key variables related to the operation stability and the calculated operation risk assessment value. Each sample includes the holding pole pitch angle, the holding pole roll angle, the holding pole top tension, the holding pole bottom pressure, the holding pole waist hoop tension, the ground anchor tension and the holding pole lifting speed. In sample 1, the holding pole pitch angle is 2 degrees, the holding pole roll angle is 1 degree, the holding pole top tension is 3000 N, the holding pole bottom pressure is 1000 N, the holding pole waist hoop tension is 2000 N, the ground anchor tension is 1500 N, the holding pole lifting speed is 0.6 m / s, and the calculated operation risk assessment value is 18763; sample 2 keeps the rest of the parameters unchanged, only increases the ground anchor tension to 1800 N, and the operation risk assessment value decreases to 46767; sample 3 further increases the ground anchor tension to 2100 N, and under the premise that other variables remain unchanged, the corresponding operation risk assessment value is 93070; sample 4 increases the ground anchor tension to 2400 N, and the operation risk assessment value further decreases to 23442; and sample 5 has a ground anchor tension of 2700 N, and the operation risk assessment value is 13410.

[0043] Table 2 Operational Risk Assessment Values ​​Data Table

[0044] Figure 4 The curve showing the impact of ground anchor tension on operational risk assessment values ​​is shown in Table 2. Figure 4 It can be seen that the operational risk assessment value continuously decreases with the increase of the ground anchor tension, showing a clear inverse relationship. This indicates that the greater the ground anchor tension, the more stable the system's operational behavior becomes. Increasing the ground anchor tension effectively enhances the structure's lateral restraint capacity, reducing operational fluctuations caused by force imbalance and attitude deviation, thereby lowering the overall operational risk level. This trend suggests that appropriately increasing the ground anchor tension is an important means of controlling operational risk during tower erection, and can provide a quantitative basis for setting construction parameters and risk control strategies.

[0045] In this implementation plan, an operational risk assessment model is constructed that integrates the pole pitch angle, pole roll angle, pole top tension, pole bottom pressure, pole waist tie tension, ground anchor tension, and pole lifting speed. This model enables a comprehensive quantitative assessment of the stability and force coordination of operational behavior during construction. By employing a coupled calculation method of attitude square term and force difference, combined with a speed logarithmic adjustment mechanism, the model effectively captures potential abnormal behaviors caused by large operational amplitude, uneven force, and excessively fast lifting speed during construction. This provides a highly sensitive mathematical basis for identifying unreasonable operating conditions and providing early warnings.

[0046] Specifically, the specific steps of real-time comparison of operation risk assessment value and operation threshold value, identification of operation abnormal behavior and configuration of operation adjustment strategy are as follows: after obtaining the operation risk assessment value, the operation risk assessment value is compared with the operation threshold value in real time, the operation threshold value includes the first operation threshold value and the second operation threshold value, the operation risk assessment value is calculated by the derrick luffing angle, the derrick roll angle, the derrick top tension, the derrick bottom pressure, the derrick waist hoop tension, the anchor tension and the derrick lifting speed, and has real-time and dynamic variability; when the operation risk assessment value is less than or equal to the first operation threshold value, the current operation behavior is stable and does not need to be intervened, and this state is recorded in the construction log as an operation reference sample; when the operation risk assessment value is greater than the first operation threshold value and less than the second operation threshold value, the current operation deviates, the operation terminal pop-up window prompts the operation behavior deviation, generates an identification tag for subsequent review, slows down the derrick lifting speed to reduce the load mutation caused by acceleration, and simultaneously prompts the inspection of the waist hoop connection state and the outer pull line tension distribution, focuses on the uneven distribution of the derrick waist hoop tension and the anchor tension, and avoids unilateral load to cause structural deviation; when the operation risk assessment value is greater than the second operation threshold value, the current operation behavior is highly abnormal, the operation interface is highlighted in red and locked, the hoisting is immediately stopped, the stop command is issued through the built-in control interface of the system, the abnormal data snapshot is automatically generated, the snapshot includes the derrick luffing angle, the derrick roll angle, the derrick top tension, the derrick bottom pressure, all related variable values and deviation amplitudes are recorded, and are pushed to the remote dispatch platform for subsequent intervention judgment and safety traceability.

[0047] In the embodiment, through real-time comparison of the operation risk assessment value and the set operation threshold value, combined with the derrick luffing angle, the derrick roll angle, the derrick top tension, the derrick bottom pressure, the derrick waist hoop tension, the anchor tension and the derrick lifting speed, a dynamic operation behavior identification mechanism with hierarchical response is constructed; the system can not only accurately identify the operation deviation degree, but also automatically execute prompt, deceleration, verification and shutdown according to different risk levels, and simultaneously realize data snapshot generation and remote pushing, form a closed-loop control path of operation behavior combining front-end identification, middle-end response and back-end traceability, and effectively improve the stability and safety decision-making ability of on-site construction operation.

[0048] Specifically, the specific steps of calculating the intervention evaluation value are as follows: obtaining a structure risk evaluation value, an operation risk evaluation value, a secondary structure threshold value and a secondary operation threshold value, the structure risk evaluation value is calculated by the derrick pitch angle, the derrick roll angle, the derrick top tension, the derrick waist hoop tension, the ground anchor tension, the derrick bottom pressure and the derrick lifting speed, reflecting the overall force and attitude state of the structure, and the operation risk evaluation value is a comprehensive evaluation of the stability and coordination of the operation action; the square of the structure risk evaluation value is divided by the square of the secondary structure threshold value as the first part, which is used to measure the overrun degree of the structure risk and improve the response sensitivity of the high risk value; the square of the operation risk evaluation value is divided by the square of the secondary operation threshold value as the second part, which is used to quantify the proportion of the operation behavior deviation degree in the overall intervention judgment; the product of the structure risk evaluation value and the operation risk evaluation value is divided by the sum of the two and multiplied by the risk weight as the third part; wherein, by regression fitting the joint distribution of the structure risk evaluation value and the operation risk evaluation value in the historical intervention events, the least square method is used to obtain the influence degree of the high risk trigger result, so as to obtain the risk weight, and the value range of the risk weight is [0, 1]; the sum of the three parts is averaged to obtain the intervention evaluation value, which is finally used to uniformly judge whether to enter the high risk control process, trigger the subsequent instruction issuing, task freezing and intervention execution logic.

[0049] Wherein, the specific calculation formula of the intervention evaluation value is: ; In the formula, T represents the intervention evaluation value, R represents the structure risk evaluation value, S represents the operation risk evaluation value, R th represents the secondary structure threshold value, S th represents the secondary operation threshold value, and ω represents the risk weight.

[0050] In the embodiment, by introducing the joint calculation mechanism of the structure risk evaluation value and the operation risk evaluation value, a composite intervention evaluation model containing the structure overrun strength, the operation deviation amplitude and the coupling degree of the two is constructed, which can more comprehensively reflect the comprehensive risk state in the tower group construction process; the square term amplifies the high risk signal, the coupling term fuses the multi-dimensional risk influence, and the risk weight is introduced to realize the adjustment control, and finally forms a quantifiable, determinable and linkable intervention evaluation value, which provides a stable and efficient trigger basis for accurate identification and automatic control in the high risk state.

[0051] Specifically, the specific steps of determining whether to enter the high-risk active intervention process based on the intervention evaluation value are as follows: after obtaining the intervention evaluation value, the intervention evaluation value is compared with the intervention threshold value in real time, when the intervention evaluation value is less than or equal to the intervention threshold value, the high-risk active intervention process is not entered; when the intervention evaluation value is greater than the intervention threshold value, the high-risk active intervention process is entered; a high-risk intervention instruction request is generated and sent; the current job process state and device control authority are queried, the device control interface is called, the lock instruction is sent to the device end through the communication channel, the boom lifting, hoisting and movement jobs are forcibly stopped, and the tower segment construction state is set to frozen; the edge device records all key data at the time when the abnormal state is triggered, and writes into the construction safety log file to form a complete file of an intervention event; according to the abnormal identification position, an automatic intervention suggestion list is generated, including: adjusting the boom support point, re-tightening the outer stay wire, replacing the waist hoop connector, resetting the tension system, manually checking the sensor installation state, and the automatic intervention suggestion information is synchronously displayed on the field terminal and the background; the job scheduling state of the current tower segment and its adjacent construction links is automatically updated, and marked as a pending review state, and the scheduling and issuing authority of the subsequent associated tasks is frozen to prevent the continuation of the work with disease; the intervention review confirmation process is provided through the man-machine confirmation interface, and the problem checking, manual checking and sensor state confirmation are completed by the field responsible person to submit the results; after the review process is completed, the job process is automatically unlocked, and the scheduling authority is restored; all intervention actions, execution records, manual review processes and results are pushed to the safety management platform to form a multi-level audit chain for subsequent safety evaluation.

[0052] In the embodiment, by taking the intervention evaluation value as the core judgment basis, an active intervention execution process under high-risk state is established, which can automatically trigger device locking, job freezing and scheduling suspension control operations when the risk value exceeds the intervention threshold value; the system links the edge device to record key data in real time, generates a complete intervention event file, and intelligently generates an intervention suggestion list based on the abnormal position, while supporting a man-machine interaction review mechanism, to ensure that each high-risk disposal has traceability, operability and system closed-loop, and further realizes a whole-process safety management and control system from risk identification to execution control, from on-site processing to platform archiving.

[0053] The second aspect of the present application provides a tower assembly construction management system based on a three-dimensional digital simulation model, comprising: a holding pole data acquisition preprocessing module, a three-dimensional simulation model driving and structure evaluation module, an operation behavior evaluation and adjustment module, an active intervention control and safety closed loop module, wherein: the holding pole data acquisition preprocessing module is used for real-time acquisition of holding pole data in the tower assembly construction process, and data cleaning and standardization processing of the holding pole data; the three-dimensional simulation model driving and structure evaluation module is used for constructing a three-dimensional simulation model of the tower body and the holding pole, calculating a structure risk evaluation value, evaluating a current structure state and configuring a structure adjustment strategy; the operation behavior evaluation and adjustment module is used for calculating an operation risk evaluation value based on the holding pole data, real-time comparison of the operation risk evaluation value and an operation threshold value, identification of abnormal operation behaviors and configuration of an operation adjustment strategy; the active intervention control and safety closed loop module is used for calculating an intervention evaluation value, and determining whether to enter a high-risk active intervention process based on the intervention evaluation value.

[0054] In the present embodiment, by constructing an integrated tower assembly construction management system covering four functional modules of data acquisition, state evaluation, abnormality identification and active intervention, digital, real-time and intelligent management of the whole construction process is realized; the system takes the holding pole data as the core driving, performs structure mechanics analysis relying on the three-dimensional simulation model, combines dynamic monitoring of operation behaviors and risk quantization judgment, and finally forms an automatic control closed loop under high-risk working conditions, thereby comprehensively improving the safety, stability and management efficiency of the tower assembly construction.

[0055] It should be noted that, in the present text, relationship terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between the entities or operations. Moreover, the terms "include", "contain" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device.

[0056] The preferred embodiments of the present application disclosed above are only used to help explain the present application. The preferred embodiments do not describe all the details, nor limit the present application to the specific embodiments described. Obviously, many modifications and variations can be made according to the content of the present specification. The present specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present application, so that those skilled in the art can well understand and utilize the present application. The present application is limited only by the claims and their full scope and equivalents.

Claims

1. A method for managing tower assembly based on a three-dimensional digital simulation model, characterized in that: The method comprises the following steps: S1, real-time collection of the data of the holding pole in the tower construction process, and data cleaning and standardization processing of the data of the holding pole; S2, construction of a three-dimensional simulation model of the tower body and the holding pole, calculation of a structure risk evaluation value, evaluation of the current structure state, and configuration of a structure adjustment strategy; S3, calculation of an operation risk evaluation value based on the data of the holding pole, real-time comparison of the operation risk evaluation value and an operation threshold value, identification of abnormal operation behaviors, and configuration of an operation adjustment strategy; S4, calculation of an intervention evaluation value, and determination of whether to enter a high-risk active intervention process based on the intervention evaluation value.

2. The tower assembly management method based on a three-dimensional digital simulation model according to claim 1, characterized in that: The specific steps of the real-time collection of the data of the holding pole in the tower construction process are as follows: The data of the holding pole in the tower construction process are collected in real time, and the data of the holding pole include the inclination angle of the holding pole, the bottom pressure of the holding pole, the top tension of the holding pole, the waist hoop tension of the holding pole, the ground anchor tension, and the lifting speed of the holding pole; The inclination angle of the holding pole is obtained in real time by installing a three-axis inclination sensor on each section of the holding pole, and the inclination angle of the holding pole includes the pitch angle and the roll angle of the holding pole; the bottom pressure of the holding pole is obtained by arranging a piezoelectric film sensor at the contact point between the holding pole and the ground; the top tension of the holding pole is obtained by installing a tension sensor at the connection between the main sling and the top of the holding pole; the waist hoop tension of the holding pole is obtained by arranging a tension sensor on the waist hoop support point connecting the holding pole and the tower body; the ground anchor tension is obtained by arranging a tension sensor at the connection between the anchoring end and the steel cable; and the lifting speed of the holding pole is obtained by arranging an external winch wheel speed sensor on the holding pole.

3. The tower assembly management method based on a three-dimensional digital simulation model according to claim 1, characterized in that: The specific steps of the data cleaning and standardization processing of the data of the holding pole are as follows: The sliding window method is used in combination with a mutation detection algorithm to detect and eliminate the holding pole data that obviously deviates from the mean value; interval sampling monitoring is used in combination with a linear interpolation method to fill in the short-time missing holding pole data; a Kalman filter algorithm is used to denoise the holding pole data to obtain smooth holding pole data; and a maximum and minimum standardization algorithm is used to normalize the holding pole data, so as to convert the holding pole data into a unified standard range.

4. The method of claim 1, wherein: The specific steps of the construction of the three-dimensional simulation model of the tower body and the holding pole are as follows: AI drawing recognition technology is used to analyze the design drawings of the power transmission tower and the holding pole, optical character recognition technology is used to extract the component contour, size, material, and connection information, and the information is converted into parameterized modeling data; a BIM modeling tool is called to generate a three-dimensional model of the tower body and the holding pole, geometric properties and material mechanics parameters are assigned according to the component categories, after the modeling is completed, the model is imported into an ANSYS simulation platform for finite element discretization processing, in which the long strip components such as tower poles are divided into beam units, and the nodes and connection plates are modeled as solid units; the collected holding pole data are connected to the simulation engine in the form of driving load through a data interface, so as to realize the synchronous linkage and dynamic calculation of the three-dimensional simulation model and the field state; The deviation between the simulation feedback value and the real-time sensing data is compared in real time, the boundary conditions of the three-dimensional simulation model are automatically corrected, and the simulation accuracy is maintained.

5. The method of claim 1, wherein: The specific steps of the calculation of the structure risk evaluation value, the evaluation of the current structure state, and the configuration of the structure adjustment strategy are as follows: Get the pole tilt angle, pole bottom pressure, pole top tension, pole waist hoop tension, ground anchor tension, and pole lifting speed; set the maximum allowable tilt angle, maximum axial force, and maximum safe lifting speed of the pole. The first part is obtained by adding the absolute values ​​of the current pole pitch angle and pole roll angle, dividing by the maximum tilt angle, and then multiplying the resulting ratio by the tilt angle weight. The second part is obtained by adding the top tension of the pole, the waist tension of the pole, and the ground anchor tension, subtracting the bottom pressure of the pole, dividing by the maximum axial force, and then multiplying the resulting ratio by the force weight. The third part is obtained by dividing the pole lifting speed by the maximum safe lifting speed and then multiplying by the speed weight. The structural risk assessment value is obtained by adding the three parts together. After calculating the structural risk assessment value, the structural risk assessment value and the structural threshold are compared in real time. The structural threshold includes the primary structural threshold and the secondary structural threshold. If the structural risk assessment value is less than or equal to the primary structural threshold, the current structure is safe and no adjustment is required. When the structural risk assessment value is greater than the primary structural threshold but less than the secondary structural threshold, the current structural attitude and stress deviate, and the lifting speed of the mast is reduced. Check the tension of the external guy wire; replace the external guy wire if the tension check fails. When the structural risk assessment value is greater than or equal to the secondary structure threshold, the current structure has an instability trend and a risk of exceeding the stress limit. A forced stop command is sent to the lifting device through the communication interface to lock the tower section position, release the auxiliary guy wire tension, activate the emergency support, and stop all construction actions related to the current tower section.

6. The method of claim 1, wherein: The specific steps for calculating the operational risk assessment value based on the pole data are as follows: Obtain the pole pitch angle, pole roll angle, pole bottom pressure, pole top tension, pole waist clamp tension, and pole lifting speed. Square the pole pitch angle and pole roll angle respectively and add them together. Square the difference between the pole top tension and the pole bottom pressure, and multiply these two results to get the numerator. Add 1 to the absolute value of the difference between the ground anchor tension and the waist support tension to get the denominator, and calculate the ratio of the numerator to the denominator. Add 1 to the pole lifting speed, take the natural logarithm, and multiply it by the aforementioned ratio of the numerator to the denominator to obtain the operational risk assessment value.

7. The method of claim 1, wherein: The specific steps for real-time comparison of operational risk assessment values ​​and operational thresholds to identify abnormal operational behaviors and configure operational adjustment strategies are as follows: After calculating the operational risk assessment value, the operational risk assessment value and the operational threshold are compared in real time. The operational threshold includes a primary operational threshold and a secondary operational threshold. When the operational risk assessment value is less than or equal to the primary operational threshold, the current operational behavior is stable and no intervention is required. When the operational risk assessment value is greater than the first-level operational threshold but less than the second-level operational threshold, the current operation is in deviation. A pop-up window on the operation terminal will prompt the operation behavior to deviate, slow down the lifting speed of the pole, and simultaneously prompt to check the connection status of the waist hoop and the tension distribution of the external guy wire to avoid unilateral load. When the operational risk assessment value exceeds the level 2 operational threshold, the current operational behavior is considered highly abnormal. The operation interface will be highlighted and flashing red to indicate this, and the hoisting will be stopped immediately. An abnormal data snapshot will be automatically generated, recording all relevant variable values ​​and deviations, and then pushed to the remote dispatch platform.

8. The method of claim 1, wherein: The specific steps of calculating the intervention evaluation value are as follows: Obtain the structural risk evaluation value, the operational risk evaluation value, the secondary structure threshold value and the secondary operation threshold value; square the structural risk evaluation value and divide it by the square of the secondary structure threshold value as a first part; Square the operational risk evaluation value and divide it by the square of the secondary operation threshold value as a second part; Multiply the structural risk evaluation value and the operational risk evaluation value, divide the product by the sum of the two, and multiply the result by the risk weight as a third part; sum the three parts and average them to obtain the intervention evaluation value.

9. The method of claim 1, wherein: The specific steps of determining whether to enter the high-risk active intervention process based on the intervention evaluation value are as follows: After obtaining the intervention evaluation value, compare the intervention evaluation value with the intervention threshold value in real time; if the intervention evaluation value is less than or equal to the intervention threshold value, do not enter the high-risk active intervention process; If the intervention evaluation value is greater than the intervention threshold value, enter the high-risk active intervention process; Generate and send a high-risk intervention instruction request; Query the current job flow state and device control authority, call the device control interface, issue a lock instruction to the device end through the communication channel, and forcibly stop the boom lifting, hoisting and movement operations, and set the tower segment construction state to frozen; Link the edge device to record all key data at the time of triggering the abnormal state, and write them into the construction safety log file to form a complete archive of the intervention event; Generate an automatic intervention suggestion list based on the abnormal identification position, including adjusting the boom support point, re-tensioning the outer guy wire, replacing the waist hoop connector, resetting the tension system and manually checking the sensor installation state, and the automatic intervention suggestion information is displayed synchronously on the site terminal and the background; Automatically update the job scheduling state of the current tower segment and its adjacent construction links, mark them as pending review state, and freeze the scheduling authority of subsequent associated tasks to prevent further work with defects; Provide an intervention review confirmation process through a man-machine confirmation interface, and complete the problem checking, manual checking and sensor state confirmation by the site responsible person; After completing the review process, automatically unlock the job flow and restore the scheduling authority; push all intervention actions, execution records, manual review processes and results to the safety management platform to form a multi-level audit chain for subsequent safety evaluation.

10. A tower assembly construction management system based on a three-dimensional digital simulation model, applying a tower assembly construction management method based on a three-dimensional digital simulation model according to any one of claims 1 to 9, characterized in that, It comprises: a boom data acquisition preprocessing module, a three-dimensional simulation model driving and structure evaluation module, an operation behavior evaluation and adjustment module, and an active intervention control and safety closed loop module, wherein: The boom data acquisition preprocessing module is used to acquire boom data in real time during tower assembly construction, and to perform data cleaning and standardization processing on the boom data; The three-dimensional simulation model driving and structure evaluation module is used to construct a three-dimensional simulation model of the tower body and the boom, calculate the structural risk evaluation value, evaluate the current structure state and configure the structure adjustment strategy; The operation behavior evaluation and adjustment module is used to calculate the operational risk evaluation value based on the boom data, compare the operational risk evaluation value with the operational threshold value in real time, identify the abnormal operation behavior and configure the operation adjustment strategy; The active intervention control and safety closed loop module is used to calculate the intervention evaluation value and determine whether to enter the high-risk active intervention process based on the intervention evaluation value.

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