Safety monitoring method and system for construction process of hanging basket of cantilever beam based on digital twinning

Abstract

The invention discloses a safety monitoring method and system for a construction process of a cantilever beam hanging basket based on digital twinning, and relates to the field of cantilever beam hanging basket construction. A hanging basket entity and a digital model are subjected to real-time interaction and synchronous mapping through a digital twin modeling technology, a twin digital model of the cantilever casting hanging basket for simulating the whole construction process is built, and various construction data of the hanging basket entity in the construction process are collected in real time and synchronously mapped into the twin digital model. Setting a safety threshold of each piece of construction data, performing early warning processing when any piece of construction data acquired in real time exceeds the set safety threshold, and constructing a construction safety degree evaluation model in a multi-operation condition mode according to historical construction data, and utilizing the evaluation model to evaluate the construction safety degree of the current hanging basket entity under the real-time construction data, obtaining the current construction safety level according to the evaluation result of the construction safety degree, and formulating an early warning strategy corresponding to the current construction safety level.

Description

Technical Field

[0001] The present invention relates to the field of suspended cast-beam hanging basket construction, and in particular to a suspended cast-beam hanging basket construction process safety monitoring method and system based on digital twin. Background Art

[0002] In the mid-20th century, the technology of prestressed concrete variable-section continuous beam bridges began to emerge. During this period, bridge construction began to explore the method of cantilever casting, and the construction of hanging baskets, as an important part of it, gradually received attention. The structural design of the hanging basket has also been continuously optimized, from the initial simple structure to the later complex and multifunctional structure. For example, various types of hanging baskets such as triangular hanging baskets, diamond hanging baskets, bowstring hanging baskets, parallel truss hanging baskets and front support hanging baskets have been developed to meet different construction needs. At the same time, the overall stiffness, stability and bearing capacity of the hanging basket have been significantly improved, which can meet the requirements of large-span and high-difficulty bridge construction.

[0003] At present, the monitoring content of cantilever beam construction is mainly reflected in the quality of the suspended beam entity, including geometric line monitoring, structural stress monitoring, and temperature monitoring. However, there is a lack of safety monitoring content for the construction process, and there is no effective safety monitoring device. According to the analysis results of the causes of safety accidents in the construction of suspended box girders in the past, they are mostly reflected in the design defects, production and installation of the hanging basket equipment itself, the failure of the hanging basket walking system, the influence of bad weather and improper construction operations. Although in-depth research has been conducted on the supervision of the construction process of suspended box girders at home and abroad, the supervision content ranges from the linear control of the suspended box girder itself, the intelligent maintenance of the structure, the monitoring of the operation and maintenance after the bridge is completed, to the single monitoring of the deformation and stress of the hanging basket equipment, and then to the real-time data collection and early warning of the hanging basket equipment. The hanging basket construction equipment has experienced a development process from manual inspection to automation and intelligence. However, the existing hanging basket construction process monitoring equipment cannot realize the functions of rapid upload, analysis and comparison, safety index and intelligent graded early warning of data collection, and cannot visualize the safety monitoring and management of the hanging basket of the construction of the suspended box girder to meet the needs of active safety production management. To this end, we propose a safety monitoring method and system for the cantilevered beam hanging basket construction process based on digital twins. Summary of the invention

[0004] The main purpose of the present invention is to provide a method and system for safety monitoring of the cantilevered beam and hanging basket construction process based on digital twins, which can effectively solve the problems in the background technology.

[0005] In order to achieve the above object, the technical solution adopted by the present invention is:

[0006] The safety monitoring method of the cantilever beam hanging basket construction process based on digital twin includes:

[0007] Collect the structural parameters of the cantilever casting hanging basket entity, and use the digital twin modeling technology to interact and synchronously map the hanging basket entity with the digital model in real time based on the acquired structural parameters, so as to build a twin digital model of the cantilever casting hanging basket for simulating the entire construction process;

[0008] Collect various construction data of the hanging basket entity in the construction process in real time, map the acquired construction data to the twin digital model in real time interactively and synchronously, set safety thresholds for various construction data, and perform early warning processing when any of the construction data collected in real time exceeds the set safety threshold. The construction data includes at least one of the hanging basket distance, walking distance, walking synchronization, main truss stress, rear anchor stress, front support reaction force, front and rear anchor tension of the lower beam, horizontal inclination angle of the hanging basket, displacement of the main truss of the hanging basket, ambient wind speed, and sling load;

[0009] A construction safety evaluation model under multiple operating conditions is constructed based on historical construction data. The evaluation model is used to evaluate the construction safety of the current hanging basket entity under real-time construction data. The current construction safety level is obtained based on the evaluation results of the construction safety level, and an early warning strategy corresponding to the current construction safety level is formulated; wherein,

[0010] The construction process of the evaluation model includes the following steps:

[0011] Obtain the historical construction data under the i-th operating condition mode, and define the construction safety index of the operating condition mode under the optimal construction state as y imax , the corresponding j-th construction data value is x ijmax , the construction safety index under fault condition is y imin , the corresponding j-th construction data value is x ijmin , the proportion method is used to calculate the estimated value of the construction safety index corresponding to the kth group of construction data in the historical construction data under the i-th operating condition mode The calculation formula is:

[0012]

[0013] Where, d k is the distance between the kth group of construction data under the i-th operating condition and the optimal construction state, In the formula, It is represented as the j-th construction data value of the k-th group under the i-th operating mode; m is the number of construction data items;

[0014] The data series E is constructed with the estimated value of the construction safety index under the i-th operating mode, and the data series F is constructed with the corresponding construction data. The correlation R between the j-th construction data and the construction safety index is calculated using the grey correlation analysis method. ij ;

[0015] According to the obtained correlation R ij Calculate and determine the weight coefficient of the jth construction data for the construction safety index under the i-th operating condition mode The calculation formula is:

[0016] According to the weight coefficient obtained A construction safety evaluation model under the i-th operating condition is constructed, where the model expression is: In the formula, is the forward processing value of the jth construction data under the i-th operating mode; y i is the construction safety index corresponding to the jth construction data under the i-th operating condition mode; i is a constant coefficient.

[0017] The current process of obtaining the construction safety level includes the following steps:

[0018] The constructed evaluation model is used to calculate the construction safety index corresponding to the kth group of construction data in the historical construction data under the i-th operating condition mode. in,

[0019] Construction safety index Create a sample set with the value of , obtain the mean and standard deviation in the sample set, and use the mean and standard deviation to standardize the data. The standardization formula is: In the formula, z is the standard parameter, σ is the variance of the sample data, and μ is the mean of the sample data. After standardization, the standard parameter is used Adjust the numerical interval to [0,1], and use the function value of f(k) to calculate the construction safety index. Classification is performed, and the classification mechanism is:

[0020] when When the construction safety index Classification is level one;

[0021] when When the construction safety index Classification is level 2;

[0022] when When the construction safety index Classification is divided into three levels; among them, f(k) min 、f(k) max are the minimum and maximum values ​​of the f(k) function value respectively;

[0023] According to the construction safety index The classification mechanism determines the cutoff values ​​when it is in the first, second and third levels respectively. Using the evaluation model to calculate the construction safety index y under real-time construction data i , among which, when When y i Classified as level one, the current construction safety level of the hanging basket entity is determined to be a high-risk level; When y i Classified as Level 2, the current construction safety level of the hanging basket entity is determined to be medium risk level; When y i The classification is level three, and the current construction safety level of the hanging basket entity is determined to be a low risk level;

[0024] Correlation R ij The calculation formula is: In the formula, ξ jh is the correlation coefficient between the hth data point of the jth construction data in the data sequence F and the data sequence E, and ρ is the resolution coefficient, and its value range is (0,1]; is the hth value of the jth construction data in the data sequence F; is the mean of the j-th construction data value of group k in the data sequence F; in, To obtain After calculating the minimum value of the result, take the minimum value of all calculated minimum values; To obtain After calculating the maximum value of the result, take the maximum value of all calculated maximum values; where, is the estimated value of the h-th construction safety index in the data sequence F; It is the mean of the estimated values ​​of the construction safety index of groups k in the data sequence F.

[0025] The forwarding process includes the following steps:

[0026] According to the influence of various types of construction data on the construction safety index, the construction data are divided into positive construction data, negative construction data, intermediate construction data, and interval construction data; the division principle is: when the construction data increases, the construction safety index also increases, and it is classified as positive construction data; when the construction data decreases, the construction safety index increases, and it is classified as positive construction data; when the construction data tends to a certain fixed value, the construction safety index increases, and it is classified as intermediate construction data; when the construction data tends to a certain interval, the construction safety index increases, and it is classified as interval construction data;

[0027] Different processing formulas are used for different types of construction data for positive processing, as follows:

[0028] For reverse construction data: x'=Mx;

[0029] For intermediate construction data:

[0030] For interval construction data:

[0031] In the formula, x represents the data value before normalization; x' represents the data value after normalization; M represents the maximum value of the data value before normalization; m represents the minimum value of the data value before normalization; a * , b * They represent the lower and upper limits of the data interval of the intermediate parameters before forward transformation respectively; a and b represent the lower and upper limits of the optimal data interval of the intermediate parameters respectively.

[0032] The digital twin-based cantilever beam hanging basket construction process safety monitoring system includes a twin digital model construction module, a construction data acquisition module, an over-threshold warning module, and a data analysis module;

[0033] The twin digital model building module is used to collect the structural parameters of the cantilever casting hanging basket entity, and based on the acquired structural parameters, the hanging basket entity and the digital model are interacted and synchronously mapped in real time by using the digital twin modeling technology, so as to build a twin digital model of the cantilever casting hanging basket for simulating the entire construction process;

[0034] The construction data acquisition module is used to collect various construction data of the hanging basket entity in the construction process in real time, and to interactively and synchronously map the acquired construction data to the twin digital model in real time;

[0035] The over-threshold warning module is used to set the safety threshold of each construction data, and to perform warning processing when any of the construction data collected in real time exceeds the set safety threshold;

[0036] The data analysis module is used to construct a construction safety assessment model under multiple operating conditions based on historical construction data, use the assessment model to assess the construction safety of the current hanging basket entity under real-time construction data, obtain the current construction safety level based on the assessment result of the construction safety level, and formulate an early warning strategy corresponding to the current construction safety level.

[0037] The system also includes a memory, a processor, and a computer program stored on the memory and executable on the processor.

[0038] The present invention has the following beneficial effects:

[0039] Compared with the existing technology, the digital twin modeling technology is used to interact and synchronously map the hanging basket entity with the digital model in real time, build a twin digital model of the cantilever casting hanging basket for simulating the entire construction process, collect various construction data of the hanging basket entity in the construction process in real time and synchronously map them to the twin digital model, set the safety threshold of each construction data, and when any real-time collected construction data exceeds the set safety threshold, perform early warning processing, and build a construction safety evaluation model under multiple operating conditions based on historical construction data. The evaluation model is used to evaluate the construction safety of the current hanging basket entity under real-time construction data, and the current construction safety level is obtained based on the evaluation results of the construction safety level. The early warning strategy corresponding to the current construction safety level is formulated, which can realize the functions of rapid upload, analysis and comparison, safety index and intelligent graded early warning of data collection, and at the same time, the full-cycle safety monitoring and management of the hanging basket for cantilever casting box girder construction can be visualized to meet the needs of active production safety management. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a flow chart of the method for safety monitoring of the construction process of suspended beam hanging basket based on digital twin of the present invention;

[0041] Figure 2 It is a structural block diagram of the safety monitoring system for the construction process of suspended beam and hanging basket based on digital twin of the present invention;

[0042] Figure 3 This is a schematic diagram of the hanging basket distance monitoring;

[0043] Figure 4 This is a schematic diagram of Beidou positioning and ranging;

[0044] Figure 5 This is a schematic diagram of walking distance monitoring;

[0045] Figure 6 This is a schematic diagram of the installation of tension monitoring for the front and rear anchor points of the lower beam;

[0046] Figure 7 Schematic diagram of the installation of the main truss monitoring status;

[0047] Figure 8 This is a schematic diagram of the main truss system structure;

[0048] Fig. 9 Schematic diagram of rear anchor tension monitoring. DETAILED DESCRIPTION

[0049] The present invention will be further described below in conjunction with specific implementation methods, wherein the accompanying drawings are only used for exemplary descriptions and represent only schematic diagrams rather than actual drawings, and should not be understood as limiting the present invention. In order to better illustrate the specific implementation methods of the present invention, some parts of the accompanying drawings may be omitted, enlarged or reduced, and do not represent the size of the actual product.

[0050] The specific implementation process of the technical solution of the present invention includes the following steps:

[0051] Step 1: Collect the structural parameters of the cantilever casting hanging basket entity. Based on the acquired structural parameters, use the digital twin modeling technology to interact and synchronously map the hanging basket entity with the digital model in real time, and build a twin digital model of the cantilever casting hanging basket for simulating the entire construction process;

[0052] Step 2: Real-time collection of various construction data of the hanging basket entity in the construction process, real-time interactive and synchronous mapping of the acquired construction data to the twin digital model, setting safety thresholds for various construction data, and performing early warning processing when any of the real-time collected construction data exceeds the set safety threshold. The construction data includes at least one of the hanging basket distance, walking distance, walking synchronization, main truss stress, rear anchor stress, front support reaction force, front and rear anchor tension of the lower beam, horizontal inclination angle of the hanging basket, displacement of the main truss of the hanging basket, ambient wind speed, and sling load;

[0053] Construction process monitoring can be divided into walking control, pouring process control, environmental monitoring, video monitoring and other aspects. The specific contents are as follows:

[0054] Walking control

[0055] ①Basket distance monitoring

[0056] like Figure 3 As shown, the basket distance refers to the distance between the basket and the center of block zero. The distance from the center point to the basket is measured, and then the distance between the basket and the center position of block zero is calculated based on the set offset parameters.

[0057] For the monitoring of the hanging basket distance, such as Figure 4As shown, Beidou positioning and ranging technology can be used to calculate the change in distance by changing the coordinates of the equipment at the monitoring point. This technology has high positioning accuracy, up to millimeter-level accuracy, and has no requirements for the location of on-site personnel, equipment, and buildings.

[0058] ② Walking distance monitoring

[0059] Travel distance monitoring refers to monitoring the cylinder stroke of each walk when the basket is moving, recording the step distance, and accumulating the travel deviation.

[0060] like Figure 5 As shown in the figure, by installing a magnetic grating sensor in parallel with the basket oil cylinder, the sensor is driven to move simultaneously when the oil cylinder is extended and retracted, thereby monitoring the travel distance of the basket. The magnetic grating sensor has high measurement accuracy (up to 0.5mm), simple structure and easy maintenance.

[0061] ③Walking synchronization control

[0062] The walking synchronous control collects the stepping stroke measured by the sensor and feeds it back to the cylinder control system, accurately controls the single-step cylinder stroke, reduces the stroke deviation, records the accumulated deviation, and provides early warning and alarm prompts, and can send out a stroke deviation alarm warning signal.

[0063] ④Walking safety warning

[0064] Travel safety limit and warning are mainly used to prevent the travel system from hitting obstacles during operation, causing damage to the mobile platform itself; or accidentally injuring surrounding personnel. When the travel system is about to collide with an obstacle, an audible and visual alarm will be issued, and a stop command will be automatically issued, thereby avoiding casualties and ensuring the safety of the travel system equipment itself. The travel safety and warning system can use a 24GHz vehicle-mounted millimeter-wave radar sensor to provide omnidirectional coverage of the front and rear travel directions of the equipment. Using the FMCW modulation mode, it can monitor the distance, speed, and angle of the moving target with high ranging and speed measurement accuracy, preventing people and other equipment from accidentally entering the walking area and colliding with the hanging basket, causing safety accidents.

[0065] Casting process control

[0066] ①Tension monitoring of front and rear anchor points of lower beam

[0067] like Figure 6 As shown, a washer-type pressure sensor is installed at the front and rear anchor points, and the anchor tension is directly measured through the washer-type pressure sensor. A wireless data acquisition module is installed on the lower beam operating table to collect data from the washer-type pressure sensor and communicate with the bridge deck host. The system meets the following functions:

[0068] The power management function enters low-power standby mode when data collection is not required, ensuring that the working time can cover the entire construction period without the need for charging in the middle.

[0069] The fault self-detection function and self-recovery function can handle some soft faults through parameter recovery, restart, etc., thus enhancing the robustness of the system.

[0070] ②Main truss monitoring status

[0071] Equipment acquisition: stress sensors are arranged in the hot spots of the structure;

[0072] Principle: The stress state monitoring system of the hot spot area of ​​the hanging basket structure includes steel string strain gauges respectively set at the connection points of each component of the main truss of the hanging basket, such as Figure 7 As shown, the steel string strain gauge is connected to the steel string strain gauge to monitor the stress value of the connection point of each component of the main truss of the hanging basket and transmit the information to the host computer;

[0073] Purpose: To monitor the changes in equipment structure stress in real time during the hanging basket construction process to ensure construction safety.

[0074] ③Main truss stress monitoring

[0075] like Figure 8 As shown, intelligent micro-strain sensors are installed at the main stress-bearing locations such as the rear tie rod, front tie rod, front compression rod, vertical rod, lower connecting rod, and cross beam to monitor the stress of the main truss members.

[0076] ④Rear anchor stress monitoring

[0077] like Fig. 9 As shown, a washer-type pressure sensor is installed at the anchor rod position behind the hanging basket to monitor the tension of each anchor rod. Like the micro-strain sensor, a waterproof connector is used for cable connection to facilitate disassembly.

[0078] ⑤Front fulcrum reaction force monitoring

[0079] like Figure 8 As shown, according to the stability moment relationship, it is calculated from the main truss structure parameters and the rear anchor tension, main hanger tension and other data.

[0080] ⑥Horizontal inclination monitoring (basket spatial posture)

[0081] Equipment collection: by arranging inclination sensors at the front and rear of the diamond frame, the front and rear of the bottom film, and the upper front beam;

[0082] Principle: The installed inclination sensor monitors in real time whether the overall spatial level of the hanging basket deviates during the construction process;

[0083] Purpose: To monitor the overall level of the hanging basket during construction, ensure the stability of the structure, make corrections in time, and reduce accidents;

[0084] ⑦ Displacement of the main truss of the hanging basket

[0085] Equipment collection: By installing laser rangefinders on diamond frames and tracks.

[0086] Principle: The displacement distance is collected by the laser rangefinder and compared by the host. When the displacement of the left and right main trusses is greater than the set value, the host issues an alarm and controls.

[0087] Purpose: To ensure the synchronization of the hanging basket displacement during the construction process. If the synchronization of the hanging basket does not meet the construction requirements, stop the operation and adjust the hanging basket displacement in time.

[0088] Environmental monitoring, video surveillance

[0089] ①Environmental monitoring

[0090] Equipment collection: Install the wind cup at the highest point of the hanging basket.

[0091] Principle: The cup sensor measures the ambient wind speed, and the host compares it. If the wind speed is greater than the set value, the host will issue an alarm and control.

[0092] Purpose: To understand the on-site environment in real time, ensure construction safety, and reduce accidents;

[0093] Horn warning

[0094] When the monitoring system detects an abnormal situation, the speaker will emit a specific sound to warn. For example, if there is a large deformation in the key parts of the hanging basket, the speaker will issue a rapid warning of long and short sounds, reminding the on-site construction personnel to stop the work immediately and check. When the connection parts of the hanging basket show signs of looseness, the speaker will emit a continuous high-pitched sound, warning the relevant personnel to tighten the hanging basket as soon as possible to avoid potential safety risks. The advantage of this horn warning is that it can transmit danger signals to on-site personnel in a timely and direct manner, so that the site can take corresponding actions at the first time to ensure the safety and stability of the construction process.

[0095] Three-color indicator light warning

[0096] The red indicator light represents the most serious warning level. For example, when the hanging basket has major structural damage, serious tilt, or other situations that endanger construction safety, the red indicator light will light up to remind people that emergency measures must be taken immediately to deal with the problem.

[0097] The yellow indicator light indicates a moderate warning, when some parameters of the basket are close to dangerous values, or when some abnormal conditions that require attention but are not so urgent occur. For example, some minor deformation increases or stress changes, etc. The yellow indicator light flashes, prompting relevant personnel to strengthen monitoring and pay attention to the status of the basket.

[0098] The green indicator light means that the hanging basket is in normal condition and everything is running normally, which serves as an indication of normal operation.

[0099] Through the three-color indicator light warning system, on-site personnel can intuitively and quickly understand the status of the hanging basket, thereby better ensuring the safe and smooth progress of construction.

[0100] ③ Wiring process and wiring protection

[0101] Before wiring, check the number of wire cores and the location of the wires. The cables should be laid straight without twisting or looping, and should not be squeezed or damaged by external forces. Labels should be attached to both ends of the cables before laying to indicate the starting and ending positions, and the labels should be written clearly and correctly.

[0102] Power lines, signal cables and other cables should be laid separately. The minimum clearance between cables should meet the design requirements. The signals of each sensor of the monitoring system communicate with the host through the bus. The signal of the trolley is laid to the main engine electrical box through the bus via the cable; the signal line of the whole vehicle is laid in place through the original cable trough or metal hose. The cables of each video monitoring camera are laid from the main engine electrical box along the original cable trough of the equipment to the position of each camera. The cables must not be in the same pipe and trough as the power cables. If it cannot be avoided, a distance of more than 30cm should be maintained. If necessary, metal pipes can be used to ensure that the metal pipes are reliably grounded. All cables covered with metal hoses must be tied and fixed with cable ties. The wire pipes should be laid in places where people do not often move to avoid damaging the pipelines; steel pipes are used for wiring protection in places where people move a lot, such as aisles, corridors, and some vertical wiring.

[0103] All cables should comply with national standards. The video surveillance system uses a dedicated waterproof integrated cable; the sensors of the security monitoring system use shielded twisted pair cables, and the shield layer is reliably grounded at one end to enhance the anti-electromagnetic interference effect.

[0104] Step 3: Construct a construction safety assessment model under multiple operating conditions based on historical construction data; the construction process includes the following steps:

[0105] Obtain the historical construction data under the i-th operating mode, and define the construction safety index of the operating mode under the optimal construction state as y imax , the corresponding j-th construction data value is x ijmax , the construction safety index under fault condition is y imin , the corresponding j-th construction data value is x ijmin , the proportion method is used to calculate the estimated value of the construction safety index corresponding to the kth group of construction data in the historical construction data under the i-th operating condition mode The calculation formula is:

[0106]

[0107] Where, d k is the distance between the kth group of construction data under the i-th operating condition and the optimal construction state, In the formula, It is represented as the j-th construction data value of the k-th group under the i-th operating mode; m is the number of construction data items;

[0108] The data series E is constructed with the estimated value of the construction safety index under the i-th operating mode, and the data series F is constructed with the corresponding construction data. The correlation R between the j-th construction data and the construction safety index is calculated using the grey correlation analysis method. ij , the calculation formula is: In the formula, ξ jh is the correlation coefficient between the hth data point of the jth construction data in the data sequence F and the data sequence E, and ρ is the resolution coefficient, and its value range is (0,1]; is the hth value of the jth construction data in the data sequence F; is the mean of the j-th construction data value of group k in the data sequence F; in, To obtain After calculating the minimum value of the result, take the minimum value of all calculated minimum values; To obtain After calculating the maximum value of the result, take the maximum value of all calculated maximum values; where, is the estimated value of the h-th construction safety index in the data sequence F; is the mean of the estimated values ​​of the construction safety index of groups k in the data sequence F;

[0109] According to the obtained correlation R ij Calculate and determine the weight coefficient of the jth construction data for the construction safety index under the i-th operating condition mode The calculation formula is:

[0110] According to the weight coefficient obtained A construction safety evaluation model under the i-th operating condition is constructed, where the model expression is: In the formula, is the forward processing value of the jth construction data under the i-th operating mode; y i is the construction safety index corresponding to the jth construction data under the i-th operating condition mode; i is a constant coefficient, the forward processing flow includes the following steps:

[0111] According to the influence of various types of construction data on the construction safety index, the construction data are divided into positive construction data, negative construction data, intermediate construction data, and interval construction data; the division principle is: when the construction data increases, the construction safety index also increases, and it is classified as positive construction data; when the construction data decreases, the construction safety index increases, and it is classified as positive construction data; when the construction data tends to a certain fixed value, the construction safety index increases, and it is classified as intermediate construction data; when the construction data tends to a certain interval, the construction safety index increases, and it is classified as interval construction data;

[0112] Different processing formulas are used for different types of construction data for positive processing, as follows:

[0113] For reverse construction data: x'=Mx;

[0114] For intermediate construction data:

[0115] For interval construction data:

[0116] In the formula, x represents the data value before normalization; x' represents the data value after normalization; M represents the maximum value of the data value before normalization; m represents the minimum value of the data value before normalization; a * , b * They represent the lower limit and upper limit of the data interval of the intermediate parameter before forward transformation; a and b represent the lower limit and upper limit of the optimal data interval of the intermediate parameter;

[0117] Step 3: Use the evaluation model to evaluate the construction safety of the current hanging basket entity under real-time construction data, obtain the current construction safety level based on the evaluation results of the construction safety level, and formulate an early warning strategy corresponding to the current construction safety level; the process of obtaining the current construction safety level includes the following steps:

[0118] The constructed evaluation model is used to calculate the construction safety index corresponding to the kth group of construction data in the historical construction data under the i-th operating condition mode. in,

[0119] Construction safety index Create a sample set with the value of , obtain the mean and standard deviation in the sample set, and use the mean and standard deviation to standardize the data. The standardization formula is: In the formula, z is the standard parameter, σ is the variance of the sample data, and μ is the mean of the sample data. After standardization, the standard parameter is used Adjust the numerical interval to [0,1], and use the function value of f(k) to calculate the construction safety index. Classification is performed, and the classification mechanism is:

[0120] when When the construction safety index Classification is level one;

[0121] when When the construction safety index Classification is level 2;

[0122] when When the construction safety index Classification is divided into three levels; among them, f(k) min 、f(k) max are the minimum and maximum values ​​of the f(k) function value respectively;

[0123] According to the construction safety index The classification mechanism determines the cutoff values ​​when it is in the first, second and third levels respectively. Using the evaluation model to calculate the construction safety index y under real-time construction data i , among which, when When y i Classified as level one, the current construction safety level of the hanging basket entity is determined to be a high-risk level; when When y i Classified as Level 2, the current construction safety level of the hanging basket entity is determined to be medium risk level; When y i It is classified into three levels, and the current construction safety level of the hanging basket entity is determined to be a low-risk level.

[0124] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for safety monitoring of the construction process of suspended beams and hanging baskets based on digital twins, characterized in that: include: Collect the structural parameters of the cantilever casting hanging basket entity, and use the digital twin modeling technology to interact and synchronously map the hanging basket entity with the digital model in real time based on the acquired structural parameters, so as to build a twin digital model of the cantilever casting hanging basket for simulating the entire construction process; Collect various construction data of the hanging basket entity in the construction process in real time, interact and synchronously map the acquired construction data to the twin digital model in real time, set safety thresholds for various construction data, and perform early warning processing when any of the construction data collected in real time exceeds the set safety threshold; Based on historical construction data, a construction safety assessment model under multiple operating conditions is constructed. The assessment model is used to assess the construction safety of the current hanging basket entity under real-time construction data. The current construction safety level is obtained based on the assessment result of the construction safety level, and an early warning strategy corresponding to the current construction safety level is formulated.

2. The method for safety monitoring of the construction process of suspended beam and hanging basket based on digital twin according to claim 1 is characterized in that: The construction process of the evaluation model includes the following steps: Obtain the historical construction data under the i-th operating condition mode, and define the construction safety index of the operating condition mode under the optimal construction state as y imax , the corresponding j-th construction data value is x ijmax , the construction safety index under fault condition is y imin , the corresponding j-th construction data value is x ijmin , the proportion method is used to calculate the estimated value of the construction safety index corresponding to the kth group of construction data in the historical construction data under the i-th operating condition mode The data sequence E is constructed with the estimated value of the construction safety index under the i-th operating mode, and the data sequence F is constructed with the corresponding construction data. The correlation R between the j-th construction data and the construction safety index is calculated using the grey correlation analysis method. ij ; According to the obtained correlation R ij Calculate and determine the weight coefficient of the jth construction data for the construction safety index under the i-th operating condition mode The calculation formula is: According to the weight coefficient obtained A construction safety evaluation model under the i-th operating condition is constructed, where the model expression is: In the formula, is the forward processing value of the jth construction data under the i-th operating mode; y i is the construction safety index corresponding to the jth construction data under the i-th operating condition mode; i is a constant coefficient.

3. The method for safety monitoring of the construction process of suspended beam and hanging basket based on digital twin according to claim 1 is characterized in that: The current process of obtaining the construction safety level includes the following steps: The constructed evaluation model is used to calculate the construction safety index corresponding to the kth group of construction data in the historical construction data under the i-th operating condition mode. in, Construction safety index Create a sample set with the value of , obtain the mean and standard deviation in the sample set, and use the mean and standard deviation to standardize the data. The standardization formula is: In the formula, z is the standard parameter, σ is the variance of the sample data, and μ is the mean of the sample data. After standardization, the standard parameter is used Adjust the numerical interval to [0,1], and use the function value of f(k) to calculate the construction safety index. Classification is performed, and the classification mechanism is: when When the construction safety index Classification is level one; when When the construction safety index Classification is level 2; when When the construction safety index Classification is divided into three levels; among them, f(k) min 、f(k) max are the minimum and maximum values ​​of the f(k) function value respectively; According to the construction safety index The classification mechanism determines the cutoff values ​​when it is in the first, second and third levels respectively. Using the evaluation model to calculate the construction safety index y under real-time construction data i , among which, when When y i Classified as level one, the current construction safety level of the hanging basket entity is determined to be a high-risk level; When y i Classified as Level 2, the current construction safety level of the hanging basket entity is determined to be medium risk level; When y i It is classified into three levels, and the current construction safety level of the hanging basket entity is determined to be a low-risk level.

4. The method for safety monitoring of the construction process of suspended beam and hanging basket based on digital twin according to claim 1 is characterized in that: The construction data includes at least one of the following: basket distance, walking distance, walking synchronization, main truss stress, rear anchor stress, front support reaction force, front and rear anchor tension of the lower beam, horizontal inclination angle of the basket, displacement of the main truss of the basket, ambient wind speed, and sling load.

5. The method for safety monitoring of the construction process of suspended beam and hanging basket based on digital twin according to claim 1 is characterized in that: Estimated value of construction safety index The calculation formula is: Where, d k is the distance between the kth group of construction data under the i-th operating condition and the optimal construction state, In the formula, It is represented as the j-th construction data value of the k-th group under the i-th operating mode; m is the number of construction data items.

6. The method for safety monitoring of the construction process of suspended beam and hanging basket based on digital twin according to claim 1 is characterized in that: Correlation R ij The calculation formula is: In the formula, ξ jh is the correlation coefficient between the hth data point of the jth construction data in the data sequence F and the data sequence E, and ρ is the resolution coefficient, and its value range is (0,1]; is the hth value of the jth construction data in the data sequence F; is the mean of the j-th construction data value of group k in the data sequence F; in, To obtain After calculating the minimum value of the result, take the minimum value of all calculated minimum values; To obtain After calculating the maximum value of the result, take the maximum value of all calculated maximum values; where, is the estimated value of the h-th construction safety index in the data sequence F; It is the mean of the estimated values ​​of the construction safety index of groups k in the data sequence F.

7. The method for safety monitoring of the construction process of suspended beam and hanging basket based on digital twin according to claim 1 is characterized in that: The forwarding process includes the following steps: According to the influence of various types of construction data on the construction safety index, the construction data are divided into forward construction data, reverse construction data, intermediate construction data, and interval construction data; Different processing formulas are used for different types of construction data for positive processing, as follows: For reverse construction data: x'=Mx; For intermediate construction data: For interval construction data: In the formula, x represents the data value before normalization; x' represents the data value after normalization; M represents the maximum value of the data value before normalization; m represents the minimum value of the data value before normalization; a * , b * They represent the lower and upper limits of the data interval of the intermediate parameters before forward transformation respectively; a and b represent the lower and upper limits of the optimal data interval of the intermediate parameters respectively.

8. The safety monitoring system for the construction process of suspended beam and hanging basket based on digital twin is characterized by: The system is used to implement the method for safety monitoring of the cantilever beam hanging basket construction process based on digital twins as described in any one of claims 1 to 6, comprising a twin digital model construction module, a construction data acquisition module, an over-threshold warning module, and a data analysis module; The twin digital model building module is used to collect the structural parameters of the cantilever casting hanging basket entity, and based on the acquired structural parameters, the hanging basket entity and the digital model are interacted and synchronously mapped in real time by using the digital twin modeling technology, so as to build a twin digital model of the cantilever casting hanging basket for simulating the entire construction process; The construction data acquisition module is used to collect various construction data of the hanging basket entity in the construction process in real time, and to interactively and synchronously map the acquired construction data to the twin digital model in real time; The over-threshold warning module is used to set the safety threshold of each construction data, and to perform warning processing when any of the construction data collected in real time exceeds the set safety threshold; The data analysis module is used to construct a construction safety assessment model under multiple operating conditions based on historical construction data, use the assessment model to assess the construction safety of the current hanging basket entity under real-time construction data, obtain the current construction safety level based on the assessment result of the construction safety level, and formulate an early warning strategy corresponding to the current construction safety level.

9. The digital twin-based cantilever beam hanging basket construction process safety monitoring system according to claim 8 is characterized by: The system further comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method according to any one of claims 1 to 6 when executing the program.

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