A cloud-based intelligent building construction operation mode monitoring system

Abstract

The application relates to the technical field of intelligent construction, and particularly discloses a building machine operation mode monitoring system based on cloud intelligent construction, which is used to solve the problem that the mutual superposition of modal changes caused by multiple damages of existing support columns may lead to damage positioning errors, and that construction noise and wind vibration interference may reduce data precision and increase the risk of false positives or false negatives; the noise parameter, the first wind speed value and the first wind pressure value of the environment are monitored through a sensor, a noise interference analysis model is established according to the noise parameter of the environment to calculate a noise interference value, a wind vibration interference model is established based on the first wind speed value and the first wind pressure value to calculate a wind vibration interference value, a multi-modal damage positioning model is constructed according to the noise interference value and the wind vibration interference value to perform damage positioning analysis, and multi-level alarm responses are performed, so that the application has the advantages of high monitoring precision, strong anti-interference capability, fast response speed and suitability for various complex construction scenes.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent construction, more particularly, the present application relates to a building machine operation mode monitoring system based on cloud intelligent construction. BACKGROUND

[0002] Under the background of cloud intelligent construction, the support column of the building machine directly affects the operation safety and construction efficiency of the overall equipment as its main bearing and stabilizing structure. The support column bears complex dynamic loads during the operation of the building machine, including vertical pressure (building self-weight and equipment load), horizontal thrust (wind load, construction vibration), and torque, etc. This complex stress state may cause local damage, fatigue cracks or structural failure of the support column, thereby threatening the overall stability of the building machine. Therefore, the operation mode monitoring of the support column is a key link to ensure the safe and reliable operation of the building machine.

[0003] Traditional health monitoring of the support column is performed by arranging acceleration sensors, strain gauges, displacement sensors and laser range finders at key positions (such as the middle, bottom and connecting joints) of the support column, real-time collecting vibration, strain and displacement data, transmitting the data to edge computing devices and cloud platforms through wireless networks, and using signal processing techniques such as filtering, Fourier transform and wavelet analysis to extract modal parameters such as natural frequency, mode shape and damping ratio for damage positioning and health assessment. When the modal parameters change abnormally, a hierarchical early warning mechanism is used to prompt potential risks and guide operation adjustment or maintenance. However, the existing technology still has limitations in terms of multi-damage interference and environmental noise resistance. When multiple damages of the support column cause modal changes to superimpose on each other, damage positioning errors may occur, and construction noise and wind vibration interference may reduce data accuracy, increasing the risk of false positives or false negatives. In order to solve the above problems, the present application provides a technical solution. SUMMARY

[0004] In order to overcome the above-mentioned defects of the prior art, the present application provides a building machine operation mode monitoring system based on cloud intelligent construction, which is used to solve the problem that the modal changes caused by multiple damages of the existing support column superimpose on each other, which may cause damage positioning errors, and construction noise and wind vibration interference may reduce data accuracy, increasing the risk of false positives or false negatives, to solve the problems raised in the background art.

[0005] To achieve the above object, the present application provides the following technical scheme:

[0006] A cloud-based intelligent construction system for monitoring the operational modes of a building-building machine includes a distributed sensor monitoring platform, a noise analysis module, a wind vibration analysis module, a multimodal damage location error analysis module, and a multi-level problem response module. The distributed sensor monitoring platform monitors environmental noise parameters, a first wind speed value, and a first wind pressure value using sensors. The noise analysis module establishes a noise interference analysis model based on the environmental noise parameters to calculate noise interference values. The wind vibration analysis module establishes a wind vibration interference model based on the first wind speed and first wind pressure values ​​to calculate wind vibration interference values. The multimodal damage location error analysis module constructs a multimodal damage location model based on the noise interference values ​​and wind vibration interference values ​​to perform damage location analysis. The positional error analysis module includes a preliminary damage location unit, an error coefficient calculation unit, and a multimodal damage location confirmation unit. The preliminary damage location unit acquires the three-dimensional position coordinates of the support column and the corresponding vibration response values. Based on the vibration response values, it constructs a preliminary damage analysis model to obtain preliminary damage analysis coefficients, and sequentially makes a preliminary judgment on whether the support column has damage. The error coefficient calculation unit acquires wind-induced vibration interference values, damage interference values, and the first levelness parameter, importing them into the error coefficient calculation formula to obtain the error coefficient. The multimodal damage location confirmation unit acquires the preliminary damage analysis coefficients and error coefficients, importing them into the multimodal damage analysis model to make a final damage location judgment. The formula for the multimodal damage analysis model is:

[0007]

[0008] In the formula: The vertical axis is y B Damage analysis value of the support column, μ z The error coefficient, The vertical axis is y B The preliminary damage analysis coefficients of the support column, The three-dimensional position coordinates are (x A ,y B ,z C The first vibration response value of the support column. The three-dimensional position coordinates are (x E ,y B ,z D The second vibration response value of the support column, where H is the total number of support columns, θ1 is the first vibration response value of the support column at any three-dimensional position, θ2 is the second vibration response value of the support column at any three-dimensional position, and f is the second vibration response value of the support column at any three-dimensional position. z For wind-induced vibration interference, g z This is the noise interference value. For position (x) a ,y b ,z c The first levelness parameter of the support column, θmax is the maximum first level parameter, θ min is the minimum first level parameter.

[0009] As a further scheme of the present application, the noise analysis module is used for establishing a noise interference analysis model according to the noise parameters of the environment to calculate the noise interference value, obtaining the first noise frequency and the first noise amplitude of the environment, arranging the first noise frequency and the first noise amplitude in the order from small to large, respectively obtaining a noise frequency sequence p1, p2, …, p i ,…,p n and a noise amplitude sequence d1, d2, …, d i ,…,d n , wherein d i is the i-th first noise amplitude, p i is the i-th first noise frequency, the noise frequency mean value is calculated by summing the noise frequency sequence, the noise amplitude mean value is calculated by summing the noise amplitude sequence, and the noise interference value is calculated according to the noise interference analysis model constructed according to the noise frequency sequence and the noise amplitude sequence, and the formula of the noise interference analysis model is:

[0010]

[0011] In the formula: g z is the noise interference value, d i is the i-th first noise amplitude, d max is the maximum value in the noise amplitude sequence, d min is the minimum value in the noise amplitude sequence, p i is the i-th first noise frequency, p max is the maximum value in the noise frequency sequence, p min is the minimum value in the noise frequency sequence, and n is the number of parameters in the noise frequency sequence and the noise amplitude sequence.

[0012] As a further scheme of the present application, the distributed sensor monitoring platform comprises a noise monitoring unit, a level monitoring unit, a wind speed and pressure monitoring unit, and a vibration monitoring unit.

[0013] The noise monitoring unit is used for acquiring the noise parameters of the environment in real time through the sound sensor; the noise parameters of the environment include the first noise frequency and the first noise amplitude.

[0014] The level monitoring unit is used for acquiring the first level parameter of the support column in real time through the level sensor.

[0015] The wind speed and pressure monitoring unit is used for acquiring the first wind speed value and the first wind pressure value in real time through the wind speed and pressure sensor.

[0016] The vibration monitoring unit is used for acquiring the vibration response value of the support column in real time through the three-axis acceleration sensor; the three-axis acceleration sensor is arranged at the intersection connection between the support column and the frame and the middle part of the support column, the vibration response value of the intersection connection between the support column and the frame is acquired as the first vibration response value, and the vibration response value of the middle part of the support column is acquired as the second vibration response value.

[0017] As a further scheme of the present application, the wind vibration analysis module is used for establishing a wind vibration interference model according to the first wind speed value and the first wind pressure value to calculate the wind vibration interference value: acquiring the first wind speed value and the first wind pressure value of the environment, arranging the first wind speed value and the first wind pressure value in the order from small to large, respectively acquiring the first wind speed sequence v1, v2, …, v j ,…,v m and the first wind pressure sequence q1, q2, …, q j ,…,q m , wherein the first wind speed mean value is calculated according to the summation of the first wind speed sequence, the first wind pressure mean value is calculated according to the summation of the first wind pressure sequence, the wind vibration interference model is constructed according to the first wind speed sequence and the first wind pressure sequence to calculate the wind vibration interference value, and the formula of the wind vibration interference model is:

[0018]

[0019] In the formula, f z is the wind vibration interference value, v j is the jth first wind speed value, v max is the maximum value in the first wind speed sequence, v min is the minimum value in the first wind speed sequence, q j is the jth first wind pressure value, q max is the maximum value in the first wind pressure sequence, q min is the minimum value in the first wind pressure sequence, and m is the parameter quantity in the first wind speed sequence and the first wind pressure sequence.

[0020] As a further scheme of the present application, the preliminary damage positioning unit is used for acquiring the three-dimensional position coordinates of the support column, acquiring the vibration response value of the corresponding three-dimensional position coordinates, constructing a preliminary damage analysis model according to the vibration response value to acquire a preliminary damage analysis coefficient, and sequentially performing a preliminary judgment on whether the support column has damage, and the formula of the preliminary damage analysis model is:

[0021]

[0022] In the formula, y is the preliminary damage analysis coefficient of the support column with the longitudinal coordinate y B , x A is the three-dimensional position coordinate of the support column, y B is the three-dimensional position coordinate of the support column, and z C is the three-dimensional position coordinate of the support column.C The first vibration response value of the support column. The three-dimensional position coordinates are (x E ,y B ,z D The second vibration response value of the support column, where H is the total number of support columns, θ1 is the first vibration response value of the support column at any three-dimensional position, and θ2 is the second vibration response value of the support column at any three-dimensional position. The vertical axis is y B The preliminary damage analysis coefficient of the support column is compared with the preset preliminary damage analysis coefficient threshold. If The vertical axis is y B If the preliminary damage analysis coefficient of the support column is greater than or equal to the preset preliminary damage analysis coefficient threshold, then a preliminary judgment is made. The vertical axis is y B If the support column is damaged, mark the support column at that location; if The vertical axis is y B If the preliminary damage analysis coefficient of the support column is less than the preset preliminary damage analysis coefficient threshold, then a preliminary judgment is made. The vertical axis is y B The supporting columns are undamaged.

[0023] As a further aspect of the present invention, the error coefficient calculation unit is used to obtain the wind vibration interference value, the damage interference value, and the first levelness parameter, which are then imported into the error coefficient calculation formula to obtain the error coefficient. The error coefficient calculation formula is as follows:

[0024]

[0025] Where: μ z f is the error coefficient. z For wind-induced vibration interference, g z This is the noise interference value. For the position is (x a ,y b ,z c The first levelness parameter of the support column, θ max θ is the maximum first levelness parameter. min This is the minimum first level parameter.

[0026] The technical effect and advantages of the building machine operation mode monitoring system based on cloud intelligent construction provided by the application are as follows: the noise parameter, the first wind speed value and the first wind pressure value of the environment are monitored by the sensor, the noise interference analysis model is established according to the noise parameter of the environment to calculate the noise interference value, the wind vibration interference model is established based on the first wind speed value and the first wind pressure value to calculate the wind vibration interference value, the multi-modal damage positioning model is constructed according to the noise interference value and the wind vibration interference value to perform damage positioning analysis, and multi-level alarm response is performed, so that the system has the advantages of high monitoring precision, strong anti-interference capability, fast response speed and suitability for various complex construction scenes. BRIEF DESCRIPTION OF DRAWINGS

[0027] Figure 1 A structural schematic diagram of the building machine operation mode monitoring system based on cloud intelligent construction is provided for the application.

[0028] Figure 2 A three-axis acceleration sensor distribution diagram is provided for the application. DETAILED DESCRIPTION

[0029] The technical solutions in the application will be described in detail below with reference to the drawings of the application. Obviously, the described technical solutions are only a part of the application, not all. Based on the technical solutions in the application, all other technical solutions obtained by those skilled in the art without creative labor fall within the scope of the application.

[0030] Figure 1 A structural schematic diagram of the building machine operation mode monitoring system based on cloud intelligent construction is provided for the application. As shown in Figure 1 The building machine operation mode monitoring system based on cloud intelligent construction includes a distributed sensor monitoring platform, a noise analysis module, a wind vibration analysis module, a multi-modal damage positioning error analysis module and a multi-level problem response module. The distributed sensor monitoring platform is connected with the noise analysis module, the wind vibration analysis module and the multi-modal damage positioning error analysis module respectively. The noise analysis module and the wind vibration analysis module are connected with the multi-modal damage positioning error analysis module respectively. The noise analysis module, the wind vibration analysis module and the multi-modal damage positioning error analysis module are connected with the multi-level problem response module respectively.

[0031] The distributed sensor monitoring platform is used to monitor the noise parameter, the first wind speed value and the first wind pressure value of the environment by the sensor.

[0032] The noise analysis module is used to establish a noise interference analysis model according to the noise parameter of the environment to calculate the noise interference value.

[0033] The wind vibration analysis module is used to establish a wind vibration interference model based on the first wind speed value and the first wind pressure value, and to calculate the wind vibration interference value.

[0034] The multimodal damage localization error analysis module is used to construct a multimodal damage localization model based on noise interference values ​​and wind vibration interference values ​​to perform damage localization analysis.

[0035] The multi-level problem response module is used for multi-level alarm responses.

[0036] Specifically, the distributed sensor monitoring platform includes a noise monitoring unit, a levelness monitoring unit, a wind speed and wind pressure monitoring unit, and a vibration monitoring unit.

[0037] The noise monitoring unit is used to acquire environmental noise parameters in real time through a sound sensor; the environmental noise parameters include a first noise frequency and a first noise amplitude.

[0038] The levelness monitoring unit is used to acquire the first levelness parameter of the support column in real time through the levelness sensor;

[0039] The wind speed and wind pressure monitoring unit is used to acquire the first wind speed value and the first wind pressure value in real time through the wind speed and wind pressure sensor;

[0040] The vibration monitoring unit is used to acquire the vibration response value of the support column in real time through the triaxial accelerometer 1; such as Figure 2 The diagram showing the distribution of the triaxial accelerometer 1 illustrates how the triaxial accelerometer 1 is arranged at the junction of the support column and the frame, as well as in the middle of the support column. The vibration response value at the junction of the support column and the frame is used as the first vibration response value, and the vibration response value in the middle of the support column is used as the second vibration response value.

[0041] Specifically, the noise analysis module is used to establish a noise interference analysis model based on environmental noise parameters to calculate noise interference values, obtain the first noise frequency and the first noise amplitude of the environment, arrange the first noise frequency and the first noise amplitude in ascending order, and obtain the noise frequency sequence p1, p2, ..., p i ,…,p n and the noise amplitude sequence d1, d2, ..., d i ,…,d n , where d i For the i-th first noise amplitude, p i Let the i-th noise frequency be the first noise frequency. The mean noise frequency is calculated by summing the noise frequency sequences, and the mean noise amplitude is calculated by summing the noise amplitude sequences. Based on the noise frequency and amplitude sequences, a noise interference analysis model is constructed to calculate the noise interference value. The formula for the noise interference analysis model is:

[0042]

[0043] wherein g z is the noise disturbance value, d i is the ith first noise amplitude, d max is the maximum value in the noise amplitude sequence, d min is the minimum value in the noise amplitude sequence, p i is the ith first noise frequency, p max is the maximum value in the noise frequency sequence, p min is the minimum value in the noise frequency sequence, n is the number of parameters in the noise frequency sequence and the noise amplitude sequence;

[0044] The wind vibration analysis module is configured to establish a wind vibration disturbance model according to the first wind speed value and the first wind pressure value to calculate the wind vibration disturbance value: obtain the first wind speed value and the first wind pressure value of the environment, arrange the first wind speed value and the first wind pressure value in descending order, respectively obtain the first wind speed sequence v1, v2, …, v j ,…,v m and the first wind pressure sequence q1, q2, …, q j ,…,q m , wherein the first wind speed mean value is calculated according to the first wind speed sequence, the first wind pressure mean value is calculated according to the first wind pressure sequence, and the wind vibration disturbance value is calculated according to the wind vibration disturbance model constructed according to the first wind speed sequence and the first wind pressure sequence, and the formula of the wind vibration disturbance model is:

[0045]

[0046] wherein f z is the wind vibration disturbance value, v j is the jth first wind speed value, v max is the maximum value in the first wind speed sequence, v min is the minimum value in the first wind speed sequence, q j is the jth first wind pressure value, q max is the maximum value in the first wind pressure sequence, q min is the minimum value in the first wind pressure sequence, m is the number of parameters in the first wind speed sequence and the first wind pressure sequence.

[0047] By combining data from multiple sensors, including noise, wind speed, wind pressure, vibration, and levelness, comprehensive monitoring of the building construction machine's operating status is achieved. Multi-dimensional data collected through a distributed sensor network can more comprehensively characterize potential anomalies during machine operation, thereby reducing false negative and false positive rates. An interference model is constructed based on noise frequency and amplitude sequences to accurately quantify the degree of noise interference on modal monitoring, thus reducing the impact of noise on damage location results. Wind speed and wind pressure analysis quantifies the impact of wind-induced vibration interference on the structure, helping to optimize the machine's operating mode and improve structural stability. A multi-modal damage location model is constructed by combining noise and wind-induced vibration interference values, which can separate the superposition effects of different interference sources on modal data, thereby improving the accuracy of damage location. The algorithm model distinguishes the combined impact of environmental factors and structural damage on modal data, considering the dynamic changes in environmental noise, wind speed, and wind pressure. It can maintain efficient monitoring and reliable operation even in harsh environments, providing technical support for complex construction scenarios (such as high-rise building or bridge construction).

[0048] The multimodal damage localization error analysis module includes a preliminary damage localization unit, an error coefficient calculation unit, and a multimodal damage localization confirmation unit; the preliminary damage localization unit and the error coefficient calculation unit are respectively connected to the multimodal damage localization confirmation unit.

[0049] The preliminary damage location unit is used to obtain the three-dimensional position coordinates of the support column and the corresponding vibration response values. Based on the vibration response values, a preliminary damage analysis model is constructed to obtain preliminary damage analysis coefficients. These coefficients are then used to make a preliminary judgment on whether the support column is damaged. The formula for the preliminary damage analysis model is as follows:

[0050]

[0051] In the formula: The vertical axis is y B The preliminary damage analysis coefficients of the support column, The three-dimensional position coordinates are (x A ,y B ,z C The first vibration response value of the support column. The three-dimensional position coordinates are (x E ,y B ,z D ) is the second vibration response value of the support column, where H is the total number of support columns, θ1 is the first vibration response value of the support column at any three-dimensional position, and θ2 is the second vibration response value of the support column at any three-dimensional position.

[0052] Will The vertical axis is y B The preliminary damage analysis coefficient of the support column is compared with the preset preliminary damage analysis coefficient threshold. If The vertical axis is y B If the preliminary damage analysis coefficient of the support column is greater than or equal to the preset preliminary damage analysis coefficient threshold, then a preliminary judgment is made. The vertical axis is y B If the support column is damaged, mark the support column at that location; if The vertical axis is y B If the preliminary damage analysis coefficient of the support column is less than the preset preliminary damage analysis coefficient threshold, then a preliminary judgment is made. The vertical axis is y B The supporting columns are undamaged.

[0053] A model is constructed using vibration response values ​​to preliminarily assess the damage status of the support columns, avoiding premature error accumulation during complex calculations. The spatial accuracy of the damage analysis is ensured by utilizing the three-dimensional coordinates of the support columns and their vibration response values. Comparison with preset thresholds avoids false alarms caused by noise or minor anomalies during detection. Calculations of differences in vibration response values ​​at different three-dimensional coordinate positions reduce interference from single-point data anomalies or noise in damage localization. The average value of all support column response values ​​is introduced as a correction term to reduce the impact of local anomalies on the assessment results. Through preliminary positioning and threshold judgment, potential damage locations are quickly identified, supporting real-time monitoring and dynamic response. Preliminary problem locations are marked for further analysis and confirmation by subsequent modules (such as the error coefficient calculation unit and the multimodal damage localization confirmation unit). Setting reasonable preliminary damage analysis coefficient thresholds effectively filters weak non-damage signals, reducing false alarms. Comparative analysis using distributed vibration response data from three-dimensional positions significantly reduces the possibility of missed alarms. Support columns may be subjected to loads or vibration interference from different directions in complex construction environments; the module's combination of three-dimensional coordinate and vibration response value analysis allows it to better adapt to complex scenarios.

[0054] The error coefficient calculation unit is used to obtain the wind vibration interference value, damage interference value, and first levelness parameter, which are then imported into the error coefficient calculation formula to obtain the error coefficient. The error coefficient calculation formula is as follows:

[0055]

[0056] Where: μ z f is the error coefficient. z For wind-induced vibration interference, g z This is the noise interference value. For the position is (x a ,y b ,z c The first levelness parameter of the support column, θ max θ is the maximum first levelness parameter. minThis is the minimum first level parameter.

[0057] The multimodal damage localization confirmation unit is used to obtain preliminary damage analysis coefficients and error coefficients, which are then imported into the multimodal damage analysis model for final damage localization determination. The formula for the multimodal damage analysis model is as follows:

[0058]

[0059] In the formula: The vertical axis is y B Damage analysis value of the support column, μ z The error coefficient, The vertical axis is y B The preliminary damage analysis coefficients of the support column, The three-dimensional position coordinates are (x A ,y B ,z C The first vibration response value of the support column. The three-dimensional position coordinates are (x E ,y B ,z D The second vibration response value of the support column, where H is the total number of support columns, θ1 is the first vibration response value of the support column at any three-dimensional position, θ2 is the second vibration response value of the support column at any three-dimensional position, and f is the second vibration response value of the support column at any three-dimensional position. z For wind-induced vibration interference, g z This is the noise interference value. For position (x) a ,y b ,z c The first levelness parameter of the support column, θ max θ is the maximum first levelness parameter. min This is the minimum first level parameter.

[0060] Let the vertical axis be y B The damage analysis value of the support column is compared with the preset damage analysis threshold. If the vertical axis is y... B If the damage analysis value of the support column is greater than or equal to the preset damage analysis threshold, then the ordinate is determined as y. B The support column is damaged; if the ordinate is y B If the damage analysis value of the support column is less than the preset damage analysis threshold, then the ordinate is determined as y. B The support columns are undamaged.

[0061] The multi-level problem response module is used for multi-level alarm responses:

[0062] If the ordinate is determined to be y B If the support column is damaged, a Level 1 alarm will be triggered;

[0063] extracting the wind vibration interference value, comparing the wind vibration interference value with a preset wind vibration interference threshold value, if the wind vibration interference value is greater than or equal to the preset wind vibration interference threshold value, a secondary alarm is triggered, if the wind vibration interference value is greater than or equal to the preset wind vibration interference threshold value, the secondary alarm is not triggered;

[0064] extracting the noise interference value, comparing the noise interference value with a preset noise interference threshold value, if the noise interference value is greater than or equal to the preset noise interference threshold value, a secondary alarm is triggered, if the noise interference value is greater than or equal to the preset noise interference threshold value, the secondary alarm is not triggered.

[0065] The difference between the first vibration response value and the second vibration response value combined with the average value of the global response adjustment can effectively reduce the interference of noise on single modal damage analysis, fuse the error coefficient and multiple physical quantities (such as vibration response, wind vibration interference, noise interference, levelness parameter), improve the adaptability of the damage positioning model to complex environment, avoid misjudgment caused by a single data source, real-time damage analysis value calculation and dynamic comparison with the preset threshold value, so that the system can quickly respond to new damage or environmental changes; through the hierarchical triggering mechanism of primary and secondary alarms, the damage information and external interference information are independently distinguished, which is convenient for hierarchical management, the primary alarm can clearly indicate the damage position and issue a warning, which is convenient for rapid positioning and repair, the secondary alarm combines the wind vibration and noise interference values, and early warning of potential environmental impact provides more comprehensive safety protection; the separate threshold judgment mechanism of wind vibration and noise interference values can respectively analyze the potential impact of interference on the stability of the structure, ensure that each risk factor is fully considered, and when triggering the alarm, it is clear whether the risk is caused by damage itself or external interference, which helps to take accurate measures.

[0066] The embodiment of the present application monitors the noise parameters, the first wind speed value and the first wind pressure value of the environment through the sensor, establishes a noise interference analysis model according to the noise parameters of the environment to calculate the noise interference value, establishes a wind vibration interference model based on the first wind speed value and the first wind pressure value to calculate the wind vibration interference value, and constructs a multi-modal damage positioning model according to the noise interference value and the wind vibration interference value to perform damage positioning analysis. Combined with the noise interference value and the wind vibration interference value, the multi-modal damage positioning model can effectively separate the influence of different interference sources on modal changes, reduce the error caused by mutual superposition of modal changes, improve the accuracy of damage positioning, and perform multi-level alarm response, which has the advantages of high monitoring accuracy, strong anti-interference ability, fast response speed and suitability for various complex construction scenes.

[0067] The above merely provides the specific implementation of the present application, but the protection scope of the present application is not limited to this. Any person skilled in the art can easily think of the changes or replacements within the technical range disclosed by the present application, and all should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0068] Finally, the above merely provides the preferred scheme of the present application, and is not used to limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. A cloud-based intelligent construction building machine operation mode monitoring system, comprising a distributed sensor monitoring platform, a noise analysis module, a wind vibration analysis module, a multi-modal damage positioning error analysis module, and a multi-level problem response module; characterized in that: The distributed sensor monitoring platform is used for monitoring noise parameters, first wind speed values and first wind pressure values of an environment through sensors; The distributed sensor monitoring platform comprises a noise monitoring unit, a level monitoring unit, a wind speed and wind pressure monitoring unit and a vibration monitoring unit; The noise monitoring unit is used for acquiring noise parameters of the environment in real time through a sound sensor; the noise parameters of the environment comprise first noise frequencies and first noise amplitudes; The level monitoring unit is used for acquiring first level parameters of the support column in real time through a level sensor; The wind speed and wind pressure monitoring unit is used for acquiring the first wind speed values and the first wind pressure values in real time through a wind speed and wind pressure sensor; The vibration monitoring unit is used for acquiring vibration response values of the support column in real time through a three-axis acceleration sensor; the three-axis acceleration sensor is arranged at a junction of the support column and the frame and a middle part of the support column, so as to acquire a vibration response value of the junction of the support column and the frame as a first vibration response value and a vibration response value of the middle part of the support column as a second vibration response value; The noise analysis module is used for establishing a noise interference analysis model according to the noise parameters of the environment to calculate noise interference values; The wind vibration analysis module is used for establishing a wind vibration interference model according to the first wind speed values and the first wind pressure values to calculate wind vibration interference values; The multi-modal damage positioning error analysis module is used for constructing a multi-modal damage analysis model according to the noise interference values and the wind vibration interference values to perform damage positioning analysis; The multi-modal damage positioning error analysis module comprises a preliminary damage positioning unit, an error coefficient calculation unit and a multi-modal damage positioning confirmation unit; The preliminary damage positioning unit is used for acquiring three-dimensional position coordinates of the support column, acquiring vibration response values of the corresponding three-dimensional position coordinates, constructing a preliminary damage analysis model according to the vibration response values to acquire preliminary damage analysis coefficients, and sequentially performing preliminary judgment on whether the support column has damage; a formula of the preliminary damage analysis model is: In the formula: The vertical axis is y B The preliminary damage analysis coefficients of the support column, The three-dimensional position coordinates are (x A ,y B ,z C The first vibration response value of the support column. The three-dimensional position coordinates are (x E ,y B ,z D The second vibration response value of the support column, where H is the total number of support columns, θ1 is the first vibration response value of the support column at any three-dimensional position, and θ2 is the second vibration response value of the support column at any three-dimensional position. The vertical axis is y B The preliminary damage analysis coefficient of the support column is compared with the preset preliminary damage analysis coefficient threshold. If The vertical axis is y B If the preliminary damage analysis coefficient of the support column is greater than or equal to the preset preliminary damage analysis coefficient threshold, then a preliminary judgment is made. The vertical axis is y B If the support column is damaged, mark the support column at that location; if The vertical axis is y B If the preliminary damage analysis coefficient of the support column is less than the preset preliminary damage analysis coefficient threshold, then a preliminary judgment is made. The vertical axis is y B The supporting columns are undamaged; The error coefficient calculation unit is used for acquiring the wind vibration interference values, the damage interference values and the first level parameters, and inputting them into an error coefficient calculation formula to acquire error coefficients; the error coefficient calculation formula is: wherein: μ z is the error coefficient, f z is the wind vibration interference value, g z is the noise interference value, is the position of the first levelness parameter of the support column, θ a (x b ,y c ,z max ) is the maximum first levelness parameter, θ min is the minimum first levelness parameter; The multi-modal damage positioning confirmation unit is used for acquiring the preliminary damage analysis coefficients output by the preliminary damage positioning unit and the error coefficients output by the error coefficient calculation unit, inputting them into a multi-modal damage analysis model, and performing final damage positioning judgment; a formula of the multi-modal damage analysis model is: In the formula: the ordinate is y B the damage analysis value of the support column The multi-level problem response module is used for performing multi-level alarm response.

2. The cloud-based smart construction enabled building machine operational mode monitoring system of claim 1, wherein, The noise analysis module is used for establishing a noise interference analysis model according to noise parameters of the environment to calculate a noise interference value, comprising: obtaining a first noise frequency and a first noise amplitude of the environment, arranging the first noise frequency and the first noise amplitude in an order from small to large, respectively obtaining a noise frequency sequence p1, p2, …, p i ,…,p n and a noise amplitude sequence d1, d2, …, d i ,…,d n , wherein d i is the i-th first noise amplitude, p i is the i-th first noise frequency, and a noise interference analysis model is constructed according to the noise frequency sequence and the noise amplitude sequence to calculate the noise interference value, and a formula of the noise interference analysis model is: where: g z is the noise interference value, d i is the ith first noise amplitude, d max is the maximum value in the noise amplitude sequence, d min is the minimum value in the noise amplitude sequence, p i is the ith first noise frequency, p max is the maximum value in the noise frequency sequence, p min is the minimum value in the noise frequency sequence, n is the number of parameters in the noise frequency sequence and the noise amplitude sequence.

3. The cloud-based intelligent construction operating modal monitoring system of claim 1, wherein, The wind vibration analysis module is used to establish a wind vibration interference model based on the first wind speed value and the first wind pressure value, and to calculate the wind vibration interference value. This includes: obtaining the first wind speed value and the first wind pressure value of the environment; arranging the first wind speed value and the first wind pressure value in ascending order; and obtaining the first wind speed sequence v1, v2, ..., v j ,…,v m And the first wind pressure sequence q1,q2,…,q j ,…,q m The wind vibration interference model is constructed based on the first wind speed sequence and the first wind pressure sequence to calculate the wind vibration interference value. The formula for the wind vibration interference model is as follows: wherein: f z is the wind vibration disturbance value, v j is the jth first wind speed value, v max is the maximum value in the first wind speed sequence, v min is the minimum value in the first wind speed sequence, q j is the jth first wind pressure value, q max is the maximum value in the first wind pressure sequence, q min is the minimum value in the first wind pressure sequence, m is the number of parameters in the first wind speed sequence and the first wind pressure sequence.

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