Load risk assessment method for cable bent tower cross-brace structure

Abstract

The invention discloses a cable bent tower cross arm structure load risk assessment method, and relates to the technical field of bridge engineering. The method comprises the following steps: monitoring each monitoring point in a preset time range to obtain monitoring data including risk feature data and protection feature data, and coding and marking the monitoring points; assessing the risk of the cable bent tower cross-brace structure based on the risk feature data, and generating a risk assessment coefficient; evaluating the protection capability based on the protection feature data, generating a defense evaluation coefficient, and associating the two coefficients to form a monitoring coefficient; according to the wind environment condition of the cable bent tower, the acting force of the wind load on the cross brace structure is calculated, and a cross brace jacking force model is introduced for correction. And calculating the risk index of the cross brace structure under the load according to the wind resistance performance parameters of the structure. And comparing the monitoring coefficient with a preset monitoring coefficient threshold value, and judging whether an early warning instruction containing monitoring point position information is generated or not. The method can comprehensively evaluate the load risk of the cable bent tower cross-brace structure, and provides powerful guarantee for structural safety.

Description

Technical Field

[0001] The invention belongs to the technical field of bridge engineering, and in particular relates to a load risk assessment method for a cable tower cross brace structure. Background Art

[0002] The tower cross bracing structure is an important component of modern cable-stayed bridges, which is used to improve the stability and bearing capacity of the towers. However, due to complex wind environmental conditions, the cross bracing structure may be subject to significant wind loads, resulting in a decrease in structural safety and stability. Therefore, load risk assessment of the tower cross bracing structure is an important means to ensure the safe operation of the bridge. Summary of the invention

[0003] In order to overcome the shortcomings and deficiencies of the above-mentioned prior art, the present invention adopts the following technical solutions:

[0004] A method for load risk assessment of a cable tower cross brace structure comprises the following steps:

[0005] Step 1: obtain the real-time load data of the cable tower cross brace structure, perform load monitoring on each monitoring point in the cable tower cross brace structure within a preset time range, obtain monitoring data including risk characteristic data and protection characteristic data, and mark the monitoring point code as i, i = 1, 2, 3, ..., i; where i is a positive integer;

[0006] Step 2: Based on the risk characteristic data, the risk of the cable tower cross bracing structure is evaluated and a risk assessment coefficient is generated. The risk assessment coefficient is calculated by the total number of normalized loads, the total number of abnormal loads, the load position offset and the corresponding weight factor;

[0007] Step 3: Evaluate the protection capability of the tower cross bracing structure based on the protection characteristic data and generate a protection evaluation coefficient. The protection evaluation coefficient is calculated by the normalized load warning frequency, load overlimit ratio, structural deformation, stress level, vibration frequency, ambient temperature change and corresponding weight factors;

[0008] Step 4: Correlate the risk assessment coefficient with the defense assessment coefficient to form a monitoring coefficient;

[0009] Step 5: According to the wind environment conditions of the cable tower, calculate the force of the wind load on the cross bracing structure, introduce the cross bracing top force model, and correct the calculated wind load according to the measured data;

[0010] Step 6: Comprehensively consider the wind resistance performance parameters of the structure, including deadweight, wind load and cross bracing force factors, and calculate the risk index of the cross bracing structure under load;

[0011] Step 7: preset a monitoring coefficient threshold, compare the monitoring coefficient with the monitoring coefficient threshold, and determine whether to generate an early warning instruction. The early warning instruction is generated based on the relationship between the monitoring coefficient and the threshold, and includes the location information of the monitoring point.

[0012] As a preferred method, the risk assessment coefficient calculation formula in step 2 is as follows:

[0013]

[0014] Among them, R i is the defense evaluation coefficient of the ith monitoring point; N total,i is the total number of loads at the i-th monitoring point; N abnormal,i is the total number of abnormal loads at the ith monitoring point; D offset,i is the load position offset of the i-th monitoring point; ω1, ω2 and ω3 are the characteristic N total,i 、N abnormal,i and D offset,i The corresponding weight factor.

[0015] As a preferred method, the calculation formula of the defense evaluation coefficient in step 3 is as follows:

[0016]

[0017] Among them, P i is the defense evaluation coefficient of the ith monitoring point; F warn,i is the load warning frequency of the i-th monitoring point; R exceed,i is the load exceeding limit ratio of the i-th monitoring point; D deform,i is the structural deformation of the ith monitoring point; S stress,i is the stress level of the ith monitoring point; V freq,i is the vibration frequency of the ith monitoring point; T change,i is the ambient temperature change of the i-th monitoring point; ω4, ω5, ω6, ω7, ω8 and ω9 are the characteristic F warn,i , R exceed,i , D deform , i , S stress,i 、V freq,i and T change,i The corresponding weight factor.

[0018] As a preference, the monitoring coefficient calculation formula in step 4 is as follows:

[0019] M i =ω 10 R i +ω 11 P i +C;

[0020] Among them, Mi is the monitoring coefficient of the ith monitoring point; ω 10 and ω 11 are the weight factors of risk assessment coefficient and defense assessment coefficient respectively; C is the correction constant.

[0021] As a preferred method, the wind load calculation formula in step 5 is as follows:

[0022] F wind,i =k1·A i ·v 2 ;

[0023] Among them, F wind,i is the wind load at the i-th monitoring point; k1 is the wind pressure coefficient; A i is the windward area of ​​the ith monitoring point; v is the wind speed.

[0024] As a preferred method, the risk index calculation formula in step 6 is as follows:

[0025] RI i =ω 12 ·W i +ω 13 ·F wind.i +ω 14 ·F top,i ;

[0026] Among them, RI i is the risk index of the ith monitoring point; W i is the deadweight of the ith monitoring point; F wind.i is the wind load at the ith monitoring point; F top,i is the cross brace top force at the ith monitoring point; ω 12 ,ω 13 and ω 14 They are the features W i 、F wind.i and F top,i The corresponding weight factor.

[0027] Preferably, the monitoring coefficient threshold in step seven includes a first monitoring coefficient threshold and a second monitoring coefficient threshold, the first monitoring coefficient threshold is the warning threshold of the i-th monitoring point; the second monitoring coefficient threshold is the average of all monitoring coefficients in the monitoring area, and the second monitoring coefficient threshold is greater than the first monitoring coefficient threshold.

[0028] Preferably, the warning instruction is generated based on the relationship between the monitoring coefficient and the threshold, including warnings for a single monitoring point, centralized warnings within a region, and decentralized warnings, and includes location information of the monitoring point.

[0029] As a preferred method, the division of warning levels is also included, specifically:

[0030] When the monitoring factor M i When it is greater than the first monitoring coefficient threshold T1 and less than the first monitoring coefficient threshold T2, the system issues a first-level warning notification to prompt the user to pay attention to the status of monitoring point i;

[0031] When the monitoring factor M i When it is less than the second monitoring coefficient threshold T2, the system issues a second-level warning notification, prompting the user to take measures to prevent accidents.

[0032] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0033] 1. The present invention can comprehensively acquire and analyze the real-time load data of the cable tower cross bracing structure, including risk characteristic data and protection characteristic data, through the cable tower cross bracing structure load risk assessment method. After normalization and correlation analysis, these data can generate accurate risk assessment coefficients and defense assessment coefficients, thereby realizing a comprehensive assessment of the cable tower cross bracing structure load risk.

[0034] 2. The present invention compares the monitoring coefficient with the threshold by presetting the monitoring coefficient, and judges and generates an early warning instruction. This process can timely discover potential safety hazards and improve the accuracy and timeliness of the early warning system. The early warning instruction also contains the location information of the monitoring point, which helps to quickly locate and deal with the risk point. The practicality and operability of the early warning system are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0036] Figure 1 A flow chart of a method for load risk assessment of a cable tower cross brace structure of the present invention is shown;

[0037] Figure 2 A flow chart showing the present invention for judging and generating early warning instructions;

[0038] Figure 3 A correction flow chart of the cross brace top force model of the present invention is shown. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] In addition, the described features, structures or characteristics may be combined in one or more example embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the example embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced while omitting one or more of the specific details, or other methods, components, steps, etc. may be adopted. In other cases, well-known structures, methods, implementations or operations are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0041] Embodiment 1:

[0042] See also Figure 1 As shown, a method for load risk assessment of a cable tower cross brace structure in this embodiment comprises the following steps:

[0043] Step 1: Obtain real-time load data of the tower cross bracing structure.

[0044] The load of each monitoring point in the cable tower cross bracing structure is monitored within a preset time range to obtain monitoring data, which includes risk characteristic data and protection characteristic data.

[0045] The monitoring point code is marked as i, i = 1, 2, 3, ..., i; i is a positive integer.

[0046] The risk characteristic data include the total number of loads, the total number of abnormal loads and the load position offset.

[0047] Total number of load events: The total number of load events recorded at the i-th monitoring point within the preset time range.

[0048] Total number of abnormal loads: the total number of load events that exceed the safety range recorded at the i-th monitoring point within the preset time range.

[0049] Load position offset: The offset between the load position recorded at the monitoring point and the standard load position.

[0050] Protection characteristic data include load warning frequency, load overlimit ratio, structural deformation, stress level, vibration frequency and ambient temperature changes.

[0051] Load warning frequency: The number of times the system issues a load warning to the i-th monitoring point within the preset time range.

[0052] Load exceeding limit ratio: The ratio of loads recorded at monitoring points exceeding the safety range within the preset time range.

[0053] Structural deformation: The deformation of the structure under load recorded by the monitoring point.

[0054] Stress level: The stress level of the structure under load recorded by the monitoring point.

[0055] Vibration frequency: The vibration frequency of the structure under load recorded at the monitoring point.

[0056] Ambient temperature change: The ambient temperature change recorded at the monitoring point.

[0057] The monitoring area is the geographical location where i monitoring points are installed, and these monitoring points share a monitoring platform; the geographical location is obtained by analyzing the network communication address between the monitoring platform and the i monitoring points.

[0058] Optimization of monitoring point layout:

[0059] Even distribution: Ensure that the monitoring points are evenly distributed on the structure, covering the key parts of the structure.

[0060] Key areas: Increase the density of monitoring points at key parts of the structure (such as connection nodes and high stress areas) to improve monitoring accuracy.

[0061] Redundant design: Redundant monitoring equipment is installed at important monitoring points to prevent data loss due to failure of a single device.

[0062] Step 2: Assess the load risk of the tower cross bracing structure.

[0063] Based on the risk characteristic data, the risks of the tower cross-bracing structure are evaluated and a risk assessment coefficient is generated.

[0064] After normalizing the total number of loads, the total number of abnormal loads and the load position offset, the risk assessment coefficient is obtained through correlation analysis. The specific calculation formula is as follows:

[0065]

[0066] Among them, R i is the defense evaluation coefficient of the ith monitoring point; N total,i is the total number of loads at the i-th monitoring point; N abnormal,i is the total number of abnormal loads at the ith monitoring point; D offset,i is the load position offset of the i-th monitoring point; ω1, ω2 and ω3 are the characteristic N total,i 、N abnormal,i and D offset,i The corresponding weight factor.

[0067] Step 3: Evaluate the protective capability of the tower cross bracing structure.

[0068] The protection capability of the cable tower cross bracing structure is evaluated based on the protection characteristic data to generate a defense assessment coefficient.

[0069] The generation process of the defense assessment coefficient includes normalizing the load warning frequency, load overload ratio, structural deformation, stress level, vibration frequency and ambient temperature change, and then obtaining the defense assessment coefficient through correlation analysis. The specific calculation formula is as follows:

[0070]

[0071] Among them, P i is the defense evaluation coefficient of the ith monitoring point; F warn,i is the load warning frequency of the i-th monitoring point; R exceed,i is the load exceeding limit ratio of the i-th monitoring point; D deform,i is the structural deformation of the ith monitoring point; S stress,i is the stress level of the ith monitoring point; V freq,i is the vibration frequency of the ith monitoring point; T change,i is the ambient temperature change of the i-th monitoring point; ω4, ω5, ω6, ω7, ω8 and ω9 are the characteristic F warn,i , R exceed,i , D deform,i , S stress,i 、V freq,i and T change,i The corresponding weight factor.

[0072] Step 4: Form a comprehensive monitoring coefficient.

[0073] The risk assessment coefficient is associated with the defense assessment coefficient to form a monitoring coefficient.

[0074] The method for generating the monitoring coefficient includes non-dimensionalizing and associating the risk assessment coefficient and the defense assessment coefficient to form the monitoring coefficient. The specific calculation formula is as follows:

[0075] M i =ω 10 R i +ω 11 P i +C;

[0076] Among them, M i is the monitoring coefficient of the ith monitoring point; ω 10 and ω 11 are the weight factors of risk assessment coefficient and defense assessment coefficient respectively; C is the correction constant.

[0077] Step 5: Calculate the force of wind load on the cross bracing structure

[0078] According to the wind environment conditions where the cable tower is located, the force of wind load on the cross-bracing structure is calculated.

[0079] The cross brace top force model is introduced and modified according to the measured data to more accurately reflect the actual force. The specific calculation formula is as follows:

[0080] F wind,i =k1·A i ·v 2 ;

[0081] Among them, F wind,i is the wind load at the i-th monitoring point; k1 is the wind pressure coefficient; A i is the windward area of ​​the ith monitoring point; v is the wind speed.

[0082] This embodiment also includes a calculation method for the horizontal bracing top force model, which is as follows:

[0083] S51. Define geometric parameters.

[0084] Cross brace length (L): the total length of the cross brace structure.

[0085] Cross-sectional area of ​​the cross brace (A): the cross-sectional area of ​​the cross-bracing structure.

[0086] Elastic modulus of the cross brace material (E): The elastic modulus of the material indicates the material's ability to resist elastic deformation.

[0087] Poisson's ratio of the cross brace material (ν): The Poisson's ratio of the material represents the relationship between the lateral and longitudinal deformations of the material.

[0088] S52. Define loads.

[0089] Self-weight load (W): The weight of the cross bracing structure itself.

[0090] Wind load (F wind ): Wind load calculated based on wind environment conditions.

[0091] Other external loads (F ext ): Includes other possible external loads such as earthquake loads, snow loads, etc.

[0092] S53. Calculation of top force.

[0093] Axial force (N): internal force of the cross brace structure in the axial direction.

[0094] Bending moment (M): internal force of the cross brace structure in the bending direction.

[0095] Shear force (V): internal force of the cross bracing structure in the shear direction.

[0096] According to the basic equation of structural mechanics, the top force distribution of the cross bracing structure is calculated. The specific formula is as follows:

[0097]

[0098]

[0099]

[0100] Where x is the coordinate along the length of the cross brace.

[0101] See also Figure 3 As shown, this embodiment also includes a correction method for the horizontal bracing top force model, which is as follows:

[0102] S61. Real-time monitoring data.

[0103] Through the sensors installed on the cross-bracing structure, the load, deformation, stress and other data of the structure are collected in real time.

[0104] Environmental data: including wind speed, temperature, humidity and other environmental parameters.

[0105] S62. Data analysis.

[0106] Data preprocessing: Clean and preprocess the collected data to remove outliers and noise.

[0107] Correlation analysis: Analyze the correlation between various parameters to determine which parameters have the greatest impact on the jacking force.

[0108] S63. Parameter calibration.

[0109] Geometric parameter calibration: Adjust the geometric parameters in the model (such as cross brace length and cross-sectional area) based on actual monitoring data.

[0110] Material parameter calibration: Adjust material parameters (such as elastic modulus and Poisson's ratio) based on actual monitoring data.

[0111] Load parameter calibration: adjust load parameters (such as deadweight load, wind load, and other external loads) based on actual monitoring data.

[0112] S64. Error analysis.

[0113] Calculate error: Calculate the error between the model's predicted value and the actual value.

[0114] Assess accuracy: Assess the accuracy of the model and determine the applicability and limitations of the model.

[0115] S65, iterative optimization.

[0116] Multiple iterations: Through multiple iterations of optimization, the prediction accuracy of the model is gradually improved.

[0117] Feedback mechanism: Establish a feedback mechanism to continuously adjust and optimize the model according to the actual operation situation. Step 6: Calculate the risk index of the cross bracing structure under load.

[0118] The risk index of the bracing structure under load is calculated by comprehensively considering the wind resistance parameters of the structure, including self-weight, wind load and cross-bracing top force.

[0119] By introducing the cross brace top force model, the influence of the cross brace top force on the structure is comprehensively considered to improve the accuracy of the evaluation results. The specific calculation formula is as follows:

[0120] RI i =ω 12 ·W i +ω 13 ·F wind.i +ω 14 ·F top,i ;

[0121] Among them, RI i is the risk index of the ith monitoring point; W i is the deadweight of the ith monitoring point; F wind.i is the wind load at the ith monitoring point; F top,i is the cross brace top force at the ith monitoring point; ω 12 ,ω 13 and ω 14 They are the features W i 、F wind.i and F top,i The corresponding weight factor.

[0122] Step 7: Determine and generate early warning instructions.

[0123] See also Figure 2 As shown, the process of judging and generating early warning instructions is as follows:

[0124] S71. Preset a monitoring coefficient threshold, compare the monitoring coefficient with the monitoring coefficient threshold, and determine whether to generate an early warning instruction.

[0125] The monitoring coefficient threshold includes a first monitoring coefficient threshold T1 and a second monitoring coefficient threshold T2. The first monitoring coefficient threshold T1 is the warning threshold of the i-th monitoring point; the second monitoring coefficient threshold T2 is the average of all monitoring coefficients in the monitoring area, and the second monitoring coefficient threshold T2 is greater than the first monitoring coefficient threshold T1.

[0126] S72. Generate different types of early warning instructions based on the relationship between the monitoring coefficient and the threshold, including but not limited to early warning for a single monitoring point, centralized early warning within a region, decentralized early warning, etc.

[0127] The early warning instruction includes the location information of the monitoring point (such as longitude and latitude). When the early warning instruction is generated, the location information of the monitoring point corresponding to the monitoring coefficient is retrieved.

[0128] This embodiment also includes the classification of warning levels, specifically:

[0129] When the monitoring factor M i When it is greater than the first monitoring coefficient threshold T1 and less than the first monitoring coefficient threshold T2, the system issues a first-level warning notification to prompt the user to pay attention to the status of monitoring point i;

[0130] When the monitoring factor M i When it is less than the second monitoring coefficient threshold T2, the system issues a second-level warning notification, prompting the user to take measures to prevent accidents.

[0131] The beneficial effects of this embodiment are as follows: by monitoring and analyzing the real-time load data of the cable tower cross bracing structure, combined with factors such as wind load, cross bracing top force and structural deadweight, the load risk of the cable tower cross bracing structure is comprehensively evaluated. By generating early warning instructions, timely measures are taken to ensure the safety and reliability of the structure. This method not only improves the accuracy of the assessment, but also can provide timely warnings before risks occur, ensuring the safe operation of the structure.

[0132] The weight factors of the present invention are used to measure the degree of influence of different factors or variables on a certain result or decision. The definition of weight coefficient refers to the value assigned to each factor when comparing and evaluating multiple factors to reflect its importance or priority. These weight coefficients can be determined according to specific circumstances and needs, and are usually jointly formulated and confirmed by professionals or relevant stakeholders. By reasonably setting the weight coefficients, it can help the program or system make decisions or predictions more accurately.

[0133] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0134] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0135] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0136] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only some logical function divisions. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0137] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0138] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for assessing the load risk of a cable tower cross brace structure, characterized in that: The method comprises the following steps: Step 1: obtain the real-time load data of the cable tower cross brace structure, perform load monitoring on each monitoring point in the cable tower cross brace structure within a preset time range, obtain monitoring data including risk characteristic data and protection characteristic data, and mark the monitoring point code as i, i = 1, 2, 3, ..., i; where i is a positive integer; Step 2: Based on the risk characteristic data, the risk of the cable tower cross bracing structure is evaluated and a risk assessment coefficient is generated. The risk assessment coefficient is calculated by the total number of normalized loads, the total number of abnormal loads, the load position offset and the corresponding weight factor; Step 3: Evaluate the protection capability of the tower cross bracing structure based on the protection characteristic data and generate a protection evaluation coefficient. The protection evaluation coefficient is calculated by the normalized load warning frequency, load overlimit ratio, structural deformation, stress level, vibration frequency, ambient temperature change and corresponding weight factors; Step 4: Correlate the risk assessment coefficient with the defense assessment coefficient to form a monitoring coefficient; Step 5: According to the wind environment conditions of the cable tower, calculate the force of the wind load on the cross bracing structure, introduce the cross bracing top force model, and correct the calculated wind load according to the measured data; Step 6: Comprehensively consider the wind resistance performance parameters of the structure, including deadweight, wind load and cross bracing force factors, and calculate the risk index of the cross bracing structure under load; Step 7: preset a monitoring coefficient threshold, compare the monitoring coefficient with the monitoring coefficient threshold, and determine whether to generate an early warning instruction. The early warning instruction is generated based on the relationship between the monitoring coefficient and the threshold, and includes the location information of the monitoring point.

2. A method for load risk assessment of a cable tower cross brace structure according to claim 1, characterized in that: The calculation formula of the risk assessment coefficient in step 2 is as follows: Among them, R i is the defense evaluation coefficient of the ith monitoring point; N total,i is the total number of loads at the ith monitoring point; N abnormal,i is the total number of abnormal loads at the ith monitoring point; D offset,i is the load position offset of the i-th monitoring point; ω1, ω2 and ω3 are the characteristic N total,i 、N abnormal,i and D offset,i The corresponding weight factor.

3. A method for load risk assessment of a cable tower cross brace structure according to claim 1, characterized in that: The calculation formula of the defense evaluation coefficient in step 3 is as follows: Among them, P i is the defense evaluation coefficient of the ith monitoring point; F warn,i is the load warning frequency of the i-th monitoring point; R exceed,i is the load exceeding limit ratio of the i-th monitoring point; D deform,i is the structural deformation of the ith monitoring point; S stress,i is the stress level of the ith monitoring point; V freq,i is the vibration frequency of the ith monitoring point; T change,i is the ambient temperature change of the i-th monitoring point; ω4, ω5, ω6, ω7, ω8 and ω9 are the characteristic F warn,i , R exceed,i , D deform,i , S stress,i 、V freq,i and T change,i The corresponding weight factor.

4. A method for load risk assessment of a cable tower cross brace structure according to claim 1, characterized in that: The calculation formula of the monitoring coefficient in step 4 is as follows: M i =ω 10 R i +oh 11 P i +C; Among them, M i is the monitoring coefficient of the ith monitoring point; ω 10 and ω 11 are the weighting factors of risk assessment coefficient and defense assessment coefficient respectively; C is the correction constant.

5. A method for load risk assessment of a cable tower cross brace structure according to claim 1, characterized in that: The wind load calculation formula in step 5 is as follows: F wind,i =k1·A i ·v 2 ; Among them, F wind,i is the wind load at the i-th monitoring point; k1 is the wind pressure coefficient; A i is the windward area of ​​the ith monitoring point; v is the wind speed.

6. A method for load risk assessment of a cable tower cross brace structure according to claim 1, characterized in that: The risk index calculation formula in step 6 is as follows: RI i =ω 12 ·W i +ω 13 ·F wind.i +ω 14 ·F top,i ; Among them, RI i is the risk index of the ith monitoring point; W i is the deadweight of the ith monitoring point; F wind.i is the wind load at the ith monitoring point; F top,i is the cross brace top force at the ith monitoring point; ω 12 ,ω 13 and ω 14 They are the features W i 、F wind.i and F top,i The corresponding weight factor.

7. A method for load risk assessment of a cable tower cross brace structure according to claim 1, characterized in that: The monitoring coefficient threshold in step seven includes a first monitoring coefficient threshold and a second monitoring coefficient threshold. The first monitoring coefficient threshold is the warning threshold of the i-th monitoring point; the second monitoring coefficient threshold is the average of all monitoring coefficients in the monitoring area, and the second monitoring coefficient threshold is greater than the first monitoring coefficient threshold.

8. A method for load risk assessment of a cable tower cross brace structure according to claim 1, characterized in that: The early warning instruction is generated according to the relationship between the monitoring coefficient and the threshold, including early warning of a single monitoring point, centralized early warning within a region and decentralized early warning, and contains location information of the monitoring point.

9. A method for load risk assessment of a cable tower cross brace structure according to claim 1, characterized in that: It also includes the classification of warning levels, specifically: When the monitoring factor M i When it is greater than the first monitoring coefficient threshold T1 and less than the first monitoring coefficient threshold T2, the system issues a first-level warning notification to prompt the user to pay attention to the status of monitoring point i; When the monitoring factor M i When it is less than the second monitoring coefficient threshold T2, the system issues a second-level warning notification, prompting the user to take measures to prevent accidents.

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