Building machine operation modal monitoring system based on cloud intelligent construction

Abstract

The invention relates to the technical field of intelligent construction, and particularly discloses a building machine operation modal monitoring system based on cloud intelligent construction, which is used for solving the problems that damage positioning errors are possibly caused due to mutual superposition of modal changes caused by multiple damages of an existing support column, data precision is reduced due to construction noise and wind vibration interference, and the construction cost is reduced. And the risk of false alarm or missing alarm is increased. The noise parameter, the first wind speed value and the first wind pressure value of the environment are monitored through the sensor, the noise interference analysis model is established according to the noise parameter of the environment to calculate the noise interference value, and 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. According to the noise interference value and the wind vibration interference value, a multi-modal damage positioning model is constructed for damage positioning analysis, multi-level alarm response is carried out, and the method has the advantages of being high in monitoring precision, high in anti-interference capability, high in response speed and suitable for various complex construction scenes.

Description

Technical Field

[0001] The present invention relates to the field of intelligent construction technology, and more specifically, to a building construction machine operation mode monitoring system based on cloud-based intelligent construction. Background Art

[0002] In the context of cloud-based smart construction, the support columns of the building construction machine, as its main load-bearing and stabilizing structure, directly affect the overall equipment operation safety and construction efficiency. The support columns are subjected to complex dynamic loads during the operation of the building construction machine, including vertical pressure (building deadweight 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 columns, thereby threatening the overall stability of the building construction machine. Therefore, the operation modal monitoring of the support columns is a key link to ensure the safe and reliable operation of the building construction machine.

[0003] The health monitoring of traditional support columns is to arrange acceleration sensors, strain gauges, displacement sensors and laser rangefinders at key parts of the support columns (such as the middle, bottom and connection nodes) to collect vibration, strain and displacement data in real time, and transmit them to edge computing devices and cloud platforms through wireless networks. Signal processing technologies such as filtering, Fourier transform and wavelet analysis are used to extract modal parameters such as natural frequency, vibration mode and damping ratio for damage location and health assessment. When the modal parameters change abnormally, the potential risks are prompted through the graded early warning mechanism to guide operation adjustment or maintenance. However, the existing technology still has limitations in terms of multi-damage interference and environmental noise immunity. When the modal changes caused by multiple damages on the support column are superimposed on each other, it may lead to damage location errors, and construction noise and wind vibration interference will reduce data accuracy and increase the risk of false alarms or missed alarms. In order to solve the above problems, a technical solution is now provided. Summary of the invention

[0004] In order to overcome the above-mentioned defects of the prior art, the present invention provides a building construction machine operation modal monitoring system based on cloud-based intelligent construction, which is used to solve the problem that the modal changes caused by multiple damages of the existing supporting columns are superimposed on each other, which may lead to damage positioning errors, and the construction noise and wind vibration interference will reduce data accuracy and increase the risk of false alarms or missed alarms, so as to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A building construction machine operation modal monitoring system based on cloud-based intelligent construction includes a distributed sensor monitoring platform, a noise analysis module, a wind vibration analysis module, a multi-modal damage location error analysis module and a multi-level problem response module; the distributed sensor monitoring platform is used to monitor the noise parameters, a first wind speed value and a first wind pressure value of the environment through sensors; the noise analysis module is used to establish a noise interference analysis model according to the noise parameters of the environment to calculate the noise interference value; the wind vibration analysis module is used to establish 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; the multi-modal damage location error analysis module is used to construct a multi-modal damage location model according to the noise interference value and the wind vibration interference value to perform damage location analysis; the multi-modal damage location error analysis module is used to construct a multi-modal damage location model according to the noise interference value and the wind vibration interference value to perform damage location analysis; The position 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 is used to obtain the three-dimensional position coordinates of the support column, and obtain the vibration response value of the corresponding three-dimensional position coordinates, and construct a preliminary damage analysis model according to the vibration response value to obtain the preliminary damage analysis coefficient, and make a preliminary judgment on whether the support column is damaged in turn; the error coefficient calculation unit is used to obtain the wind vibration interference value, the damage interference value and the first horizontality parameter and import them into the error coefficient calculation formula to obtain the error coefficient; the multimodal damage location confirmation unit is used to obtain the preliminary damage analysis coefficient and the error coefficient and import them into the multimodal damage analysis model to make a final judgment on the damage location. The formula of the multimodal damage analysis model is:

[0007]

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

[0009] As a further solution of the present invention, the noise analysis module is used to establish a noise interference analysis model according to the noise parameters of the environment to calculate the noise interference value, obtain the first noise frequency and the first noise amplitude of the environment, arrange the first noise frequency and the first noise amplitude in order from small to large, and obtain the noise frequency sequences p1, p2, ..., p i ,…,p n and the noise amplitude sequence d1,d2,…,d i ,…,d n , where d i is the i-th first noise amplitude, p i is the i-th first noise frequency, the noise frequency mean is calculated by summing up the noise frequency sequence, the noise amplitude mean is calculated by summing up the noise amplitude sequence, and a noise interference analysis model is constructed based on the noise frequency sequence and the noise amplitude sequence to calculate the noise interference value. The formula of the noise interference analysis model is:

[0010]

[0011] Where: 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 solution of the present invention, the distributed sensor monitoring platform includes a noise monitoring unit, a levelness monitoring unit, a wind speed and pressure monitoring unit, and a vibration monitoring unit;

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

[0014] The levelness monitoring unit is used to obtain the first levelness parameter of the support column in real time through the levelness sensor;

[0015] The wind speed and wind pressure monitoring unit is used to obtain a first wind speed value and a first wind pressure value in real time through a wind speed and wind pressure sensor;

[0016] The vibration monitoring unit is used to obtain the vibration response value of the support column in real time through a three-axis acceleration sensor; by arranging the three-axis acceleration sensor at the intersection of the support column and the frame and in the middle of the support column, the vibration response value of the intersection of the support column and the frame is obtained as the first vibration response value, and the vibration response value of the middle of the support column is obtained as the second vibration response value.

[0017] As a further solution of the present invention, the wind vibration analysis module is used to establish 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: 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 order from small to large, and 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 is calculated by summing up the first wind speed sequence, the first wind pressure mean is calculated by summing up the first wind pressure sequence, and a 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 of the wind vibration interference model is:

[0018]

[0019] Where: 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 number of parameters in the first wind speed sequence and the first wind pressure sequence.

[0020] As a further solution of the present invention, the preliminary damage location unit is used to obtain the three-dimensional position coordinates of the support column, and obtain the vibration response value of the corresponding three-dimensional position coordinates, and construct a preliminary damage analysis model according to the vibration response value to obtain the preliminary damage analysis coefficient, and make a preliminary judgment on whether the support column is damaged in turn. The formula of the preliminary damage analysis model is:

[0021]

[0022] Where: The vertical coordinate is y B The preliminary damage analysis coefficient of the supporting column is The three-dimensional position coordinates are (x A ,y B ,zC ) of the support column, The three-dimensional position coordinates are (x E ,y B ,z D ), H is the total number of support columns, θ1 is the first vibration response value of a support column at any three-dimensional position, θ2 is the second vibration response value of a support column at any three-dimensional position, The vertical coordinate is y B The preliminary damage analysis coefficient of the supporting column is compared with the preset preliminary damage analysis coefficient threshold. The vertical coordinate is y B If the preliminary damage analysis coefficient of the supporting column is greater than or equal to the preset preliminary damage analysis coefficient threshold, then the preliminary judgment is The vertical coordinate is y B If there is damage to the support column, mark the support column at that location; if The vertical coordinate is y B If the preliminary damage analysis coefficient of the supporting column is less than the preset preliminary damage analysis coefficient threshold, then the preliminary judgment is The vertical coordinate is y B There is no damage to the supporting columns.

[0023] As a further solution 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 and import them into the error coefficient calculation formula to obtain the error coefficient. The error coefficient calculation formula is:

[0024]

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

[0026] The technical effects and advantages of the building construction machine operation modal monitoring system based on cloud-based intelligent construction of the present invention are as follows: the present invention monitors the noise parameters, the first wind speed value and the first wind pressure value of the environment through sensors, 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, constructs a multi-modal damage location model according to the noise interference value and the wind-vibration interference value to perform damage location analysis, and performs multi-level alarm response. The present invention has the advantages of high monitoring accuracy, strong anti-interference ability, fast response speed, and is suitable for various complex construction scenes. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 A schematic diagram of the structure of a building construction machine operation mode monitoring system based on cloud-based intelligent construction provided by the present invention;

[0028] Figure 2 This is a distribution diagram of the three-axis acceleration sensor provided by the present invention. DETAILED DESCRIPTION

[0029] The following will be combined with the accompanying drawings in the present invention to clearly and completely describe the technical solution in the present invention. Obviously, the described technical solution is only a part of the present invention, not all of it. Based on the technical solution in the present invention, all other technical solutions obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0030] Figure 1 The present invention provides a schematic diagram of a building construction machine operation mode monitoring system based on cloud-based intelligent construction. Figure 1 As shown, a building construction machine operation modal monitoring system based on cloud-based intelligent construction includes a distributed sensor monitoring platform, a noise analysis module, a wind-vibration analysis module, a multi-modal damage location error analysis module and a multi-level problem response module, wherein the distributed sensor monitoring platform is connected to the noise analysis module, the wind-vibration analysis module and the multi-modal damage location error analysis module respectively, the noise analysis module and the wind-vibration analysis module are connected to the multi-modal damage location error analysis module respectively, the noise analysis module, the wind-vibration analysis module and the multi-modal damage location error analysis module are connected to the multi-level problem response module respectively;

[0031] The distributed sensor monitoring platform is used to monitor the noise parameters, the first wind speed value and the first wind pressure value of the environment through sensors;

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

[0033] The wind vibration analysis module is used to establish 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;

[0034] The multi-modal damage location error analysis module is used to construct a multi-modal damage location model according to the noise interference value and the wind vibration interference value to perform damage location analysis;

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

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

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

[0038] The levelness monitoring unit is used to obtain 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 obtain a first wind speed value and a first wind pressure value in real time through a wind speed and wind pressure sensor;

[0040] The vibration monitoring unit is used to obtain the vibration response value of the support column in real time through the three-axis acceleration sensor 1; Figure 2 The distribution diagram of the three-axis acceleration sensor 1 shown in the figure arranges the three-axis acceleration sensor 1 at the intersection of the support column and the frame and in the middle of the support column, and obtains the vibration response value at the intersection of the support column and the frame as the first vibration response value, and obtains the vibration response value in the middle of the support column as the second vibration response value.

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

[0042]

[0043] Where: 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, n is the number of parameters in the noise frequency sequence and the noise amplitude sequence;

[0044] The wind vibration analysis module is used to establish 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: 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 order from small to large, and 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 is calculated by summing up the first wind speed sequence, the first wind pressure mean is calculated by summing up the first wind pressure sequence, and a 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 of the wind vibration interference model is:

[0045]

[0046] Where: 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 number of parameters in the first wind speed sequence and the first wind pressure sequence.

[0047] By combining multiple sensor data such as noise, wind speed, wind pressure, vibration, and levelness, all-round monitoring of the operating status of the building construction machine can be achieved. The multi-dimensional data collected through the distributed sensor network can more comprehensively characterize the possible abnormal characteristics during the operation of the building construction machine, thereby reducing the missed detection rate and false detection rate; based on the noise frequency and amplitude sequence, an interference model is constructed to accurately quantify the degree of interference of noise on modal monitoring, thereby reducing the impact of noise on the damage location results. Through the analysis of wind speed and wind pressure, the impact of wind vibration interference on the structure is quantified, which helps to optimize the operation mode of the building construction machine and improve the structural stability; combining the noise interference value and the wind vibration interference value, a multi-modal damage location model is constructed, which can separate the superposition effect of different interference sources on the modal data, thereby improving the accuracy of damage location, and distinguishing the comprehensive impact of environmental factors and structural damage on the modal through the algorithm model. Taking into account the dynamic changes of environmental noise, wind speed and wind pressure, it can still maintain efficient monitoring and reliable operation in harsh environments, providing technical support for complex construction scenarios (such as high-rise buildings or bridge construction).

[0048] The multimodal damage location 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 and the error coefficient calculation unit are respectively connected to the multimodal damage location confirmation unit;

[0049] The preliminary damage location unit is used to obtain the three-dimensional position coordinates of the support column and the vibration response value of the corresponding three-dimensional position coordinates. A preliminary damage analysis model is constructed based on the vibration response value to obtain the preliminary damage analysis coefficient, and a preliminary judgment is made on whether the support column is damaged. The formula of the preliminary damage analysis model is:

[0050]

[0051] Where: The vertical coordinate is y B The preliminary damage analysis coefficient of the supporting column is The three-dimensional position coordinates are (x A ,y B ,z C ) of the support column, The three-dimensional position coordinates are (x E ,y B ,z D ), H is the total number of support columns, θ1 is the first vibration response value of a support column at any three-dimensional position, and θ2 is the second vibration response value of a support column at any three-dimensional position;

[0052] Will The vertical coordinate is y B The preliminary damage analysis coefficient of the supporting column is compared with the preset preliminary damage analysis coefficient threshold. The vertical coordinate is y B If the preliminary damage analysis coefficient of the supporting column is greater than or equal to the preset preliminary damage analysis coefficient threshold, then the preliminary judgment is The vertical coordinate is y B If there is damage to the support column, mark the support column at that location; if The vertical coordinate is y B If the preliminary damage analysis coefficient of the supporting column is less than the preset preliminary damage analysis coefficient threshold, then the preliminary judgment is The vertical coordinate is y B There is no damage to the supporting columns.

[0053] The model is constructed by the vibration response value to preliminarily judge the damage of the support column, avoid premature error accumulation during complex calculations, and use the three-dimensional position coordinates and vibration response values ​​of the support column to ensure the spatial accuracy of the damage analysis. By comparing with the preset threshold, false alarms caused by noise or weak abnormalities during the detection process can be avoided. By calculating the difference in vibration response values ​​at different three-dimensional coordinate positions, the interference of single-point data abnormalities or noise on damage positioning can be reduced. The average value of all support column response values ​​is introduced as a correction term to reduce the impact of local abnormal responses on the judgment results. Through the preliminary positioning unit and threshold judgment, the location where damage may exist can be quickly determined to provide support for real-time monitoring and dynamic response, and the problem location preliminarily detected is marked to facilitate further analysis and confirmation by subsequent modules (such as error coefficient calculation unit and multi-modal damage location confirmation unit). By setting a reasonable preliminary damage analysis coefficient threshold, weak non-damage signals can be effectively filtered to reduce false alarms. Comparative analysis using distributed vibration response data at three-dimensional positions can significantly reduce the possibility of missed reports. Support columns may be subject to loads or vibration interference in different directions in complex construction environments. The module combines the analysis of three-dimensional coordinates and vibration response values ​​to better adapt to complex scenarios.

[0054] The error coefficient calculation unit is used to obtain the wind vibration interference value, the damage interference value and the first levelness parameter and import them into the error coefficient calculation formula to obtain the error coefficient. The error coefficient calculation formula is:

[0055]

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

[0057] The multimodal damage location confirmation unit is used to obtain the preliminary damage analysis coefficient and the error coefficient and import them into the multimodal damage analysis model to make the final damage location judgment. The formula of the multimodal damage analysis model is:

[0058]

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

[0060] The vertical coordinate is y B The damage analysis value of the support column is compared with the preset damage analysis threshold. If the ordinate is y B If the damage analysis value of the support column is greater than or equal to the preset damage analysis threshold, the vertical coordinate is determined as y B The supporting column is damaged; if the vertical coordinate is y B If the damage analysis value of the supporting column is less than the preset damage analysis threshold, the ordinate is determined to be y B There is no damage to the supporting columns.

[0061] The multi-level problem response module is used to perform multi-level alarm response:

[0062] If the vertical coordinate is determined to be y B If there is damage to the supporting column, a level 1 alarm will be triggered;

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

[0064] The noise interference value is extracted and compared with the preset noise interference threshold. If the noise interference value is greater than or equal to the preset noise interference threshold, a level 2 alarm will be triggered; if the noise interference value is greater than or equal to the preset noise interference threshold, the level 2 alarm will not be triggered.

[0065] The difference between the first vibration response value and the second vibration response value combined with the average adjustment of the global response can effectively reduce the interference of noise on the single modal damage analysis. The error coefficient and multiple physical quantities (such as vibration response, wind vibration interference, noise interference, and horizontality parameters) are integrated to improve the adaptability of the damage location model to complex environments and avoid misjudgment caused by a single data source. Real-time damage analysis value calculation and dynamic comparison with preset thresholds enable the system to respond quickly to new damage or environmental changes. Through the hierarchical triggering mechanism of the first and second level alarms, damage information and external interference information are independently distinguished to facilitate hierarchical management. The first level alarm can clearly identify the damage location and issue a warning to facilitate rapid positioning and repair. The second level alarm combines wind vibration and noise interference values ​​to warn of potential environmental impacts in advance and provide more comprehensive safety protection. The separate threshold judgment mechanism for wind vibration and noise interference values ​​can analyze the potential impact of interference on structural stability separately to ensure that each risk factor is fully considered. When the alarm is triggered, it is clear whether the risk is caused by the damage itself or external interference, which helps to take accurate countermeasures.

[0066] The embodiment of the present invention monitors the noise parameters, the first wind speed value and the first wind pressure value of the environment through sensors, 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, constructs a multimodal damage location model according to the noise interference value and the wind vibration interference value to perform damage location analysis, and constructs a multimodal damage location model by combining the noise interference value and the wind vibration interference value. The model can effectively separate the influence of different interference sources on modal changes, reduce the error caused by the mutual superposition of modal changes, improve the accuracy of damage location, and perform multi-level alarm response. The model has the advantages of high monitoring accuracy, strong anti-interference ability, fast response speed, and is suitable for various complex construction scenes.

[0067] 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.

[0068] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A building construction machine operation modal monitoring system based on cloud-based intelligent construction, including a distributed sensor monitoring platform, a noise analysis module, a wind vibration analysis module, a multi-modal damage location error analysis module and a multi-level problem response module; characterized in that: The multimodal damage location error analysis module is used to construct a multimodal damage location model according to the noise interference value and the wind vibration interference value for damage location analysis; the multimodal damage location error analysis module includes a preliminary damage location unit, an error coefficient calculation unit and a multimodal damage location confirmation unit; the multimodal damage location confirmation unit is used to obtain the preliminary damage analysis coefficient output by the preliminary damage location unit and the error coefficient output by the error coefficient calculation unit and import them into the multimodal damage analysis model to make the final damage location judgment. The formula of the multimodal damage analysis model is: Where: The vertical coordinate is y B Damage analysis value of the supporting column, μ z is the error coefficient, The vertical coordinate is y B The preliminary damage analysis coefficient of the supporting column is The three-dimensional position coordinates are (x A ,y B ,z C ) of the support column, The three-dimensional position coordinates are (x E ,y B ,z D ), H is the total number of support columns, θ1 is the first vibration response value of a support column at any three-dimensional position, θ2 is the second vibration response value of a support column at any three-dimensional position, and f z is the wind vibration interference value, g z is the noise interference value, For the position (x a ,y b ,z c ) The first horizontal parameter of the support column, θ max is the maximum first level parameter, θ min is the minimum first level parameter.

2. The building construction machine operation mode monitoring system based on cloud intelligent construction according to claim 1 is characterized in that: The distributed sensor monitoring platform is used to monitor the noise parameters, the first wind speed value and the first wind pressure value of the environment through sensors; the noise analysis module is used to establish a noise interference analysis model according to the noise parameters of the environment to calculate the noise interference value; the wind vibration analysis module is used to establish 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; the preliminary damage location unit is used to obtain the three-dimensional position coordinates of the support column, and obtain the vibration response value of the corresponding three-dimensional position coordinates, construct a preliminary damage analysis model according to the vibration response value to obtain the preliminary damage analysis coefficient, and make a preliminary judgment on whether the support column is damaged in turn; The error coefficient calculation unit is used to obtain the wind vibration interference value, the damage interference value and the first levelness parameter and import them into the error coefficient calculation formula to obtain the error coefficient.

3. The building construction machine operation mode monitoring system based on cloud intelligent construction according to claim 2 is characterized in that: The noise analysis module is used to establish a noise interference analysis model according to the noise parameters of the environment to calculate the noise interference value, obtain the first noise frequency and the first noise amplitude of the environment, arrange the first noise frequency and the first noise amplitude in order from small to large, and obtain the noise frequency sequences p1, p2, ..., p i ,…,p n and the noise amplitude sequence d1,d2,…,d i ,…,d n , where d i is the i-th first noise amplitude, p i is the i-th first noise frequency, the noise frequency mean is calculated by summing up the noise frequency sequence, the noise amplitude mean is calculated by summing up the noise amplitude sequence, and a noise interference analysis model is constructed based on the noise frequency sequence and the noise amplitude sequence to calculate the noise interference value. The formula of the noise interference analysis model is: Where: 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 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, and n is the number of parameters in the noise frequency sequence and the noise amplitude sequence.

4. The building construction machine operation mode monitoring system based on cloud intelligent construction according to claim 1 is characterized in that: The distributed sensor monitoring platform includes a noise monitoring unit, a levelness monitoring unit, a wind speed and pressure monitoring unit, and a vibration monitoring unit; The noise monitoring unit is used to obtain the noise parameters of the environment in real time through the sound sensor; the noise parameters of the environment include a first noise frequency and a first noise amplitude; The levelness monitoring unit is used to obtain the first levelness parameter of the support column in real time through the levelness sensor; The wind speed and wind pressure monitoring unit is used to obtain a first wind speed value and a first wind pressure value in real time through a wind speed and wind pressure sensor; The vibration monitoring unit is used to obtain the vibration response value of the support column in real time through a three-axis acceleration sensor; by arranging the three-axis acceleration sensor at the intersection of the support column and the frame and in the middle of the support column, the vibration response value of the intersection of the support column and the frame is obtained as the first vibration response value, and the vibration response value of the middle of the support column is obtained as the second vibration response value.

5. The building construction machine operation mode monitoring system based on cloud intelligent construction according to claim 2 is characterized in that: The wind vibration analysis module is used to establish 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: 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 order from small to large, and 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 is calculated by summing up the first wind speed sequence, the first wind pressure mean is calculated by summing up the first wind pressure sequence, and a 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 of the wind vibration interference model is: Where: 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 number of parameters in the first wind speed sequence and the first wind pressure sequence.

6. The building construction machine operation mode monitoring system based on cloud intelligent construction according to claim 2 is characterized in that: The preliminary damage location unit is used to obtain the three-dimensional position coordinates of the support column and the vibration response value of the corresponding three-dimensional position coordinates. A preliminary damage analysis model is constructed based on the vibration response value to obtain the preliminary damage analysis coefficient, and a preliminary judgment is made on whether the support column is damaged. The formula of the preliminary damage analysis model is: Where: The vertical coordinate is y B The preliminary damage analysis coefficient of the supporting column is The three-dimensional position coordinates are (x A ,y B ,z C ) of the support column, The three-dimensional position coordinates are (x E ,y B ,z D ), H is the total number of support columns, θ1 is the first vibration response value of a support column at any three-dimensional position, θ2 is the second vibration response value of a support column at any three-dimensional position, The vertical coordinate is y B The preliminary damage analysis coefficient of the supporting column is compared with the preset preliminary damage analysis coefficient threshold. The vertical coordinate is y B If the preliminary damage analysis coefficient of the supporting column is greater than or equal to the preset preliminary damage analysis coefficient threshold, then the preliminary judgment is The vertical coordinate is y B If there is damage to the support column, mark the support column at that location; if The vertical coordinate is y B If the preliminary damage analysis coefficient of the supporting column is less than the preset preliminary damage analysis coefficient threshold, then the preliminary judgment is The vertical coordinate is y B There is no damage to the supporting columns.

7. The building construction machine operation mode monitoring system based on cloud intelligent construction according to claim 2 is characterized in that: The error coefficient calculation unit is used to obtain the wind vibration interference value, the damage interference value and the first levelness parameter and import them into the error coefficient calculation formula to obtain the error coefficient. The error coefficient calculation formula is: Where: μ z is the error coefficient, f z is the wind vibration interference value, g z is the noise interference value, For the position (x a ,y b ,z c ) The first horizontal parameter of the support column, θ max is the maximum first level parameter, θ min is the minimum first level parameter.

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