Intelligent monitoring system for steel-concrete composite tower

Abstract

This invention discloses an intelligent monitoring system for steel-concrete composite towers, belonging to the field of structural health monitoring technology for wind power generation facilities. It includes a theoretical analysis module, a real-time monitoring module, and a status assessment module, forming an integrated, precise, and intelligent monitoring system to ensure the long-term operational safety of ultra-high steel-concrete towers.

Description

Technical Field

[0001] This invention relates to the field of structural health monitoring technology for wind power generation facilities, and more specifically to an intelligent monitoring system for steel-concrete composite towers. Background Technology

[0002] As the wind power industry develops towards higher power and taller towers, ultra-high wind turbines over 160 meters (especially those in the 180-meter and 185-meter range) have widely adopted steel-concrete composite tower structures. While this structure possesses excellent mechanical properties and economic efficiency, its long-term safe operation and maintenance under complex wind-vibration coupled loads faces severe challenges.

[0003] Existing technologies surrounding the research and application of reinforced concrete towers exhibit significant divergence: In structural stability research, mechanical models are often established through numerical analysis and theoretical derivation to analyze the impact of parameters such as prestress level and tower wall thickness on structural performance; in monitoring technology, existing research utilizes machine vision, inspection robots, or fiber optic grating sensing technology to monitor tower defects and prestressed cable forces; and in operation and maintenance management, there are cases of combining BIM technology with the Internet of Things to achieve three-dimensional visualization management.

[0004] However, existing technologies have the following significant drawbacks:

[0005] (1) Structural stability research, monitoring technology and operation and maintenance management are mostly carried out independently, lacking an integrated system that integrates "theoretical analysis-real-time monitoring-state assessment", resulting in prominent data silos and the inability to achieve full-process safety control.

[0006] (2) Existing monitoring schemes mostly draw on the fields of bridges and buildings, and do not design exclusive monitoring schemes for the core risk points of wind turbine towers, such as the progressive failure of prestressed steel strands and the dynamic change of bolt clamping force under wind-vibration coupled load.

[0007] (3) Existing operation and maintenance platforms mostly only realize data display or simple threshold warning, lacking in-depth fusion analysis based on monitoring data and structural mechanics model, unable to quantitatively assess the overall health status of tower structure, and difficult to support scientific operation and maintenance decisions.

[0008] Therefore, how to provide an integrated, precise, and intelligent monitoring system to ensure the long-term operational safety of ultra-high reinforced concrete towers is a problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0009] In view of this, the present invention provides an intelligent monitoring system for steel-concrete composite towers to solve the technical problems existing in the prior art.

[0010] To achieve the above objectives, the present invention adopts the following technical solution:

[0011] An intelligent monitoring system for a steel-concrete composite tower includes: a theoretical analysis module, a real-time monitoring module, and a condition assessment module;

[0012] The theoretical analysis module is used to construct a specific mechanical model of the steel strands and bolts of the steel-concrete tower under wind-vibration coupled load, analyze the prestress loss law of the steel strands and the influence of bolt clamping force attenuation on the connection stiffness of the tower under cyclic load, and determine the safety threshold for prestress loss of steel strands and the safety threshold for bolt clamping force reduction.

[0013] The real-time monitoring module is used to monitor the prestress of the steel strand, the clamping force of the transition ring bolt, the stress and strain of key parts of the tower and the uneven settlement of the foundation.

[0014] The status assessment module is used to integrate the specialized mechanical model with real-time monitoring data, calculate the overall health index of the steel-concrete tower through the health status assessment model, and perform graded early warning and feedback based on the overall health index.

[0015] Furthermore, the real-time monitoring module includes a sensor network, a data acquisition gateway, and a data processing unit.

[0016] Furthermore, the sensor network includes;

[0017] A fiber optic grating sensor for monitoring the prestress of steel strands has an accuracy of ±1% FS, and one sensor is deployed for every 5 steel strands in the group.

[0018] A wireless torque sensor monitors bolt clamping force, supports dynamic data acquisition, and 8-12 sensors are evenly distributed around the circumference of the bolt group.

[0019] Furthermore, the health status assessment model determines the weights of each monitoring indicator using the analytic hierarchy process (AHP) and calculates the health index using a weighted summation algorithm, as shown in the formula:

[0020]

[0021] in, H As a health index; The weights of the prestress of the steel strand, bolt clamping force, stress-strain, and foundation settlement are respectively, and they satisfy the following conditions: ; These represent the health status of the corresponding monitoring indicators.

[0022] Furthermore, the calculation method for the prestressed health of the steel strand is as follows:

[0023]

[0024] in, The prestress loss ratio of steel strand is defined as follows: ; This represents the initial prestress value of the steel strand. This represents the current monitored prestress value; This is the safe threshold for prestress loss.

[0025] Furthermore, the calculation method for the bolt clamping force health status is as follows:

[0026]

[0027] in, The bolt clamping force loss ratio is defined as follows: ; This is the initial clamping force value for the bolt. This is the currently monitored clamping force value; This is the safe threshold for clamping force loss.

[0028] Furthermore, the stress-strain health condition is calculated as follows:

[0029]

[0030] in, Real-time equivalent stress values ​​at monitoring points of key parts of the tower; σ [This refers to the allowable stress specified for the tower material;] k It is a penalty coefficient greater than 1, used to characterize the accelerated decline of health after stress exceeds the limit.

[0031] Furthermore, the calculation method for the foundation settlement health is as follows:

[0032]

[0033] in, [Δ] represents the amount of uneven settlement; [Δ] represents the allowable amount of uneven settlement.

[0034] Furthermore, the data acquisition gateway has a sampling frequency of ≥1Hz and includes a data preprocessing unit for filtering environmental interference noise and removing abnormal data; the processed data is transmitted to a local server via a 4G / 5G network and stored.

[0035] Furthermore, the evaluation results output by the state evaluation module are fed back to the theoretical analysis module to optimize the parameters of the special mechanical model and realize the adaptive update of the model.

[0036] As can be seen from the above technical solution, compared with the prior art, the present invention discloses an intelligent monitoring system for steel-concrete composite towers, which can realize integrated management and control of the entire chain from mechanical mechanism analysis to precise perception of key indicators, and then to intelligent status assessment and early warning, significantly improving the safe operation and maintenance level of ultra-high wind turbine towers. Attached Figure Description

[0037] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0038] Figure 1 This is a structural schematic diagram provided for the present invention. Detailed Implementation

[0039] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0040] See Figure 1 This invention discloses an intelligent monitoring system for steel-concrete composite towers, comprising: a theoretical analysis module, a real-time monitoring module, and a condition assessment module;

[0041] The theoretical analysis module is used to construct a specific mechanical model of the steel strands and bolts of the steel-concrete tower under wind-vibration coupled load, analyze the prestress loss law of the steel strands and the influence of bolt clamping force attenuation on the connection stiffness of the tower under cyclic load, and determine the safety threshold for prestress loss of steel strands and the safety threshold for bolt clamping force reduction.

[0042] The real-time monitoring module is used to monitor the prestress of the steel strand, the clamping force of the transition ring bolt, the stress and strain of key parts of the tower and the uneven settlement of the foundation.

[0043] The status assessment module is used to integrate the specialized mechanical model with real-time monitoring data, calculate the overall health index of the steel-concrete tower through the health status assessment model, and perform graded early warning and feedback based on the overall health index.

[0044] In one specific embodiment, the real-time monitoring module includes a sensor network, a data acquisition gateway, and a data processing unit.

[0045] In one specific embodiment, the sensor network includes;

[0046] A fiber optic grating sensor for monitoring the prestress of steel strands has an accuracy of ±1% FS, and one sensor is deployed for every 5 steel strands in the group.

[0047] A wireless torque sensor monitors bolt clamping force, supports dynamic data acquisition, and 8-12 sensors are evenly distributed around the circumference of the bolt group.

[0048] In one specific embodiment, the health status assessment model determines the weights of each monitoring indicator using the analytic hierarchy process (AHP) and calculates the health index using a weighted summation algorithm, as shown in the formula:

[0049]

[0050] in, H This is a health index, with a value range of 0-100; The weights of the prestress of the steel strand, bolt clamping force, stress-strain, and foundation settlement are respectively, and they satisfy the following conditions: ; These represent the health level of the corresponding monitoring indicators, with values ​​ranging from 0 to 100.

[0051] In one specific embodiment, the prestress health of the steel strand is calculated as follows:

[0052]

[0053] in, The prestress loss ratio of steel strand is defined as follows: ; This represents the initial prestress value of the steel strand. This represents the current monitored prestress value; The safety threshold for prestress loss is set to 0.2.

[0054] In one specific embodiment, the bolt clamping force health status is calculated as follows:

[0055]

[0056] in, The bolt clamping force loss ratio is defined as follows: ; This is the initial clamping force value for the bolt. This is the currently monitored clamping force value; The safety threshold for clamping force loss is set at 0.15.

[0057] In one specific embodiment, the stress-strain health degree is calculated as follows:

[0058]

[0059] in, Real-time equivalent stress values ​​at monitoring points of key parts of the tower; σ [This refers to the allowable stress specified for the tower material;] k It is a penalty coefficient greater than 1, used to characterize the accelerated decline of health after stress exceeds the limit, and the preferred value is 2.

[0060] In one specific embodiment, the foundation settlement health status is calculated as follows:

[0061]

[0062] in, [Δ] represents the amount of uneven settlement; [Δ] represents the allowable amount of uneven settlement.

[0063] In one specific embodiment, the data acquisition gateway has a sampling frequency of ≥1Hz and includes a data preprocessing unit for filtering environmental interference noise and removing abnormal data; the processed data is transmitted to a local server via a 4G / 5G network and stored.

[0064] In one specific embodiment, the evaluation results output by the state evaluation module are fed back to the theoretical analysis module to optimize the parameters of the special mechanical model and realize the adaptive updating of the model.

[0065] Specifically, the tiered early warning system includes:

[0066] A health index H score between 80 and 100 indicates a normal health condition, and health reports are generated regularly.

[0067] A health index H score between 60 and 80 indicates a "pay attention" status, and a reminder will be sent to maintenance personnel.

[0068] When the health index H is below 60, it is in a warning state, triggering an audible and visual alarm and pushing alarm information to the mobile terminal of maintenance personnel.

[0069] Specifically, this application can be applied to wind turbine towers with steel-concrete composite towers exceeding 160 meters. It enables integrated management and control across the entire chain, from mechanical mechanism analysis to precise perception of key indicators, and then to intelligent status assessment and early warning, significantly improving the safe operation and maintenance level of ultra-high wind turbine towers.

[0070] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to in the method section.

[0071] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An intelligent monitoring system for a steel-concrete composite tower, characterized in that, include: Theoretical analysis module, real-time monitoring module, and status assessment module; The theoretical analysis module is used to construct a specific mechanical model of the steel strands and bolts of the steel-concrete tower under wind-vibration coupled load, analyze the prestress loss law of the steel strands and the influence of bolt clamping force attenuation on the connection stiffness of the tower under cyclic load, and determine the safety threshold for prestress loss of steel strands and the safety threshold for bolt clamping force attenuation. The real-time monitoring module is used to monitor the prestress of the steel strand, the clamping force of the transition ring bolts, the stress and strain of key parts of the tower, and the uneven settlement of the foundation. The status assessment module is used to integrate the specialized mechanical model with real-time monitoring data, calculate the overall health index of the steel-concrete tower through the health status assessment model, and perform graded early warning and feedback based on the overall health index. The health status assessment model uses the analytic hierarchy process (AHP) to determine the weights of each monitoring indicator and employs a weighted summation algorithm to calculate the health index, as shown in the formula: Wherein, H is a health index; are weights of the steel strand prestress, the bolt clamping force, the stress and strain, and the foundation settlement, respectively, and satisfy ; are health degrees of the corresponding monitoring indexes; The calculation method for the prestressed health of the steel strand is as follows: in, The prestress loss ratio of steel strand is defined as follows: ; This represents the initial prestress value of the steel strand. This represents the currently monitored prestress value; This refers to the safe threshold for prestress loss in steel strands. The calculation method for the bolt clamping force health status is as follows: in, The bolt clamping force loss ratio is defined as follows: ; This is the initial clamping force value for the bolt. This is the currently monitored clamping force value; The safety threshold for bolt clamping force reduction; The method for calculating the stress-strain health status is as follows: in, Real-time equivalent stress values ​​at monitoring points of key parts of the tower; σ [This refers to the allowable stress specified for the tower material;] k A penalty coefficient greater than 1 is used to characterize the accelerated decline of health after stress exceeds the limit; The calculation method for the basic settlement health status is as follows: in, [Δ] represents the amount of uneven settlement; [Δ] represents the allowable amount of uneven settlement.

2. The intelligent monitoring system for a steel-concrete composite tower according to claim 1, characterized in that, The real-time monitoring module includes a sensor network, a data acquisition gateway, and a data processing unit.

3. The intelligent monitoring system for a steel-concrete composite tower according to claim 2, characterized in that, The sensor network includes: A fiber optic grating sensor for monitoring the prestress of steel strands has an accuracy of ±1% FS, and one sensor is deployed for every 5 steel strands in the group. A wireless torque sensor monitors bolt clamping force, supports dynamic data acquisition, and 8-12 sensors are evenly distributed around the circumference of the bolt group.

4. The intelligent monitoring system for a steel-concrete composite tower according to claim 2, characterized in that, The data acquisition gateway has a sampling frequency of ≥1Hz and includes a data preprocessing unit for filtering environmental interference noise and removing abnormal data; the processed data is transmitted to a local server via a 4G / 5G network and stored.

5. The intelligent monitoring system for a steel-concrete composite tower according to claim 1, characterized in that, The evaluation results output by the state evaluation module are fed back to the theoretical analysis module to optimize the parameters of the special mechanical model and realize the adaptive updating of the model.

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