Method and system for monitoring lifting process of high-rise steel structure corridor under action of wind load

Abstract

The invention relates to a method and system for monitoring the lifting process of a high-rise steel structure corridor under the action of a wind load, and the method comprises the following steps: obtaining state data in the lifting process of the corridor in real time, the state data comprising a plurality of parameters; performing consistency and repeatability detection on the state data; under the condition that the state data is reliable, judging the condition that the state data is abnormal; under the condition that the state data is abnormal and large in area, the corridor state is predicted according to the state data, and the system is used for implementing the method. According to the monitoring method and system for the lifting process of the high-rise steel structure corridor, all-directional monitoring data are provided, the state during lifting is predicted according to the all-directional monitoring data, the robustness of the system in a complex environment is improved, the monitoring capacity of the wind load effect of the high-rise steel structure corridor in the construction and use process can be remarkably improved, and the construction safety of the high-rise steel structure corridor is improved. Therefore, the safety and the function of the building are better ensured.

Description

Technical Field

[0001] The invention relates to the technical field of building construction, and in particular to a method for monitoring a lifting process of a high-rise steel structure corridor under wind load. Background Art

[0002] In modern urban architecture, high-rise buildings have become an important part of the urban landscape. With the advancement of construction technology, the design and construction of high-rise buildings have become more complex and efficient. Among them, steel structures are widely used in corridors and bridges of high-rise buildings due to their advantages such as high strength, reusability and fast construction speed. However, high-rise steel structure corridors will be affected by various external forces during the actual construction process, especially wind loads. Wind loads refer to the force generated by natural wind or artificial wind, which directly acts on the outside of the building and can cause displacement, vibration and even structural damage to the building.

[0003] During the lifting and installation of high-rise building corridors, the impact of wind loads is particularly significant due to their large wind-exposed area, relatively long and exposed structure. The increase in wind speed will increase the displacement and vibration of the structure, thus affecting the overall stability and safety of the corridor. Therefore, accurate measurement of the displacement of the corridor under wind load is of great significance to ensure the safety and functionality of the structure.

[0004] At present, common structural displacement measurement technologies include electronic total stations, GPS position monitoring, laser scanners, and various sensors such as strain gauges, accelerometers, etc. These technologies can provide effective displacement data in many cases, but they also have some limitations. Judging the state of the lifting process only by relying on a single data area has poor accuracy and is prone to misjudgment. Summary of the invention

[0005] In view of this, the purpose of the present invention is to provide a method and system for monitoring the lifting process of a high-rise steel structure corridor under wind load, to provide all-round monitoring data, and to predict the state during lifting based on the multi-faceted monitoring data, thereby improving the robustness of the system in complex environments, and significantly improving the monitoring capability of wind loads on high-rise steel structure corridors during construction and use, thereby better ensuring the safety and functionality of the building.

[0006] The present invention provides a method for monitoring the lifting process of a high-rise steel structure corridor under wind load, comprising the following steps:

[0007] Real-time acquisition of status data during the corridor lifting process, wherein the status data includes several parameters;

[0008] Performing consistency and repeatability testing on the status data;

[0009] In the case where the status data is reliable, judging the abnormality of the status data;

[0010] When the state data is abnormal over a large area, the state of the corridor is predicted based on the state data.

[0011] In one embodiment, the real-time acquisition of status data during the corridor lifting process, wherein the status data includes several parameters, further including:

[0012] Acquiring initial data of the corridor in real time;

[0013] The initial data is processed by Kalman filtering to obtain the state data.

[0014] In one embodiment, the performing consistency and repeatability detection on the status data further comprises:

[0015] Obtaining values ​​of the status data at several adjacent time points;

[0016] Get the difference between the parameters of adjacent status data.

[0017] In one embodiment, when the status data is reliable, judging whether the status data is abnormal further includes:

[0018] comparing the status data with a corresponding preset threshold;

[0019] If the state data is within a preset threshold range, the state data is considered normal;

[0020] In the case where the status data exceeds a preset threshold range, the status data is considered abnormal.

[0021] In one embodiment, when the state data is abnormal over a large area, predicting the state of the corridor according to the state data further includes:

[0022] Get the number of types of abnormal parameters in the status data;

[0023] When the number of types exceeds the preset number, it is considered that the status data is abnormal in a large area;

[0024] The state data is input into a structural evaluation model for prediction to obtain a prediction result.

[0025] In one embodiment, the monitoring method further comprises:

[0026] An early warning reminder is issued based on the prediction results, wherein the early warning reminder includes an immediate intervention instruction, an adjustment and improvement strategy instruction, and a continued monitoring instruction.

[0027] The present invention also provides a high-rise steel structure corridor lifting process monitoring system, which is used to implement the above-mentioned method, and is characterized by comprising:

[0028] A data acquisition module is used to acquire the status data of the corridor during the lifting process in real time, wherein the status data includes several parameters;

[0029] A data detection module, used for performing consistency and repeatability detection on the status data;

[0030] A data judgment module, used to judge the abnormality of the status data when the status data is reliable;

[0031] The state prediction module is used to predict the state of the corridor according to the state data when the state data is abnormal over a large area.

[0032] The method and system for monitoring the lifting process of a high-rise steel structure corridor under wind load provided by the present invention provide all-round monitoring data, and predict the state during lifting based on the multi-directional monitoring data, thereby improving the robustness of the system in complex environments, and can also significantly improve the monitoring capability of wind load effects on high-rise steel structure corridors during construction and use, thereby better ensuring the safety and functionality of the building. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0034] Figure 1 A schematic flow chart of a method for monitoring the lifting process of a high-rise steel structure corridor under wind load provided by the present invention. DETAILED DESCRIPTION

[0035] The specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the description of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] In the description of the present invention, unless otherwise clearly specified and limited, the terms "set", "install", "connection" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to specific circumstances.

[0037] The directions or positional relationships indicated by terms such as “upper”, “lower”, “left”, “right”, “front”, “back”, “top”, “bottom”, “inside” and “outside” are based on the directions or positional relationships shown in the accompanying drawings, or are the directions or positional relationships in which the inventive product is usually placed when used. They are only for the convenience of description and simplified description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore should not be understood as a limitation on the present invention.

[0038] The terms "first", "second", "third", etc. are merely used to distinguish elements of similar nature, and do not indicate or imply relative importance or a particular order.

[0039] The terms "comprises," "comprising," or any other variations thereof, are intended to cover a non-exclusive inclusion of the elements listed and may also include additional elements not expressly listed.

[0040] Embodiment 1

[0041] See also Figure 1 The present invention provides a method for monitoring the lifting process of a high-rise steel structure corridor under wind load, comprising the following steps:

[0042] S1, real-time acquisition of status data during the corridor lifting process, wherein the status data includes several parameters.

[0043] It is understandable that the above steps may further include:

[0044] S101, obtaining initial data of the corridor in real time.

[0045] It can be understood that the initial data may include the location and time information of the corridor, the acceleration and rotation angle of the corridor under wind load, so as to evaluate the dynamic response of the structure, the slight deformation and temperature change of the corridor, and to capture the surface displacement and morphological changes of the corridor, and provide high-resolution three-dimensional image data of the corridor.

[0046] S102, performing Kalman filtering on the initial data to obtain state data.

[0047] It is understandable that Kalman filtering can filter out some interference data to avoid affecting subsequent

[0048] S2, performs consistency and repeatability checks on the status data.

[0049] It is understandable that the above steps may further include:

[0050] S201, obtaining values ​​of status data at several adjacent time points.

[0051] It can be understood that each moment has a set of status data, and the status data includes the data recorded above.

[0052] S202, obtaining the difference of the parameters between adjacent state data.

[0053] It can be known that the position and time information in the adjacent state data are first judged. When the adjacent position and time information are different, it can be considered that the other parameters in the state data are normal, that is, there is no data error and redundancy problem.

[0054] S3, when the status data is reliable, determine if the status data is abnormal.

[0055] It is understandable that the above steps may further include:

[0056] S301, comparing the status data with the corresponding preset threshold.

[0057] It can be understood that the preset threshold can be the various state data under the lifting state obtained without wind load while keeping other parameters consistent. By processing each state data, the corresponding preset threshold can be obtained. The data can reflect the swing and tilt rules during the lifting process without wind load.

[0058] S302: When the status data is within a preset threshold range, the status data is considered normal.

[0059] S303: When the status data exceeds a preset threshold range, the status data is considered abnormal.

[0060] It is understandable that when a certain parameter in the status data exceeds the preset threshold, it does not mean that the lifting status can be considered abnormal. Therefore, it is normal for a certain parameter in the status data to be abnormal.

[0061] S4, when the status data is abnormal over a large area, predict the status of the corridor based on the status data.

[0062] It is understandable that the above steps may further include:

[0063] S401, obtaining the number of types of abnormal parameters in the status data.

[0064] It is understandable that the status data includes various types of parameters, and it is not considered that the overall lifting status is abnormal if one of the parameters is abnormal.

[0065] S402, when the number of types exceeds the preset number, it is considered that the state data is abnormal in a large area;

[0066] S403, inputting the state data into the structure evaluation model for prediction to obtain a prediction result.

[0067] It is understandable that the structural evaluation model can be some open source neural network models, which are obtained through a large amount of data training and learning.

[0068] S5, issuing early warning reminders based on the prediction results, wherein the early warning reminders include immediate intervention instructions, adjustment and improvement strategy instructions, and continued monitoring instructions.

[0069] It is understandable that the prediction results will indicate where problems occurred during the lifting process, and then corresponding early warning reminders can be given based on the problems.

[0070] Embodiment 2

[0071] See also Figure 1 This embodiment provides a system for monitoring the lifting process of a high-rise steel structure corridor under wind load, which is used to implement any one of the methods in claims 1 to 6, and is characterized by comprising:

[0072] The data acquisition module is used to obtain the status data of the corridor during the lifting process in real time, wherein the status data includes several parameters.

[0073] It is understandable that the data acquisition module may include a high-precision GPS module sensor, an inertial measurement unit (IMU) module sensor, a fiber optic sensor module, and a laser scanner. 1) High-precision GPS module sensor: used to provide accurate location information of the corridor. GPS can provide global location and time information, which is suitable for accurate measurement of open sites and faster and more accurate positioning of the corridor area. 2) Inertial measurement unit (IMU) module sensor: including accelerometers and gyroscopes, which can measure and record the acceleration and rotation angle of the corridor under wind loads to evaluate the dynamic response of the structure. 3) Grating sensor: monitors small deformations and temperature changes on the corridor. Fiber optic sensors have natural anti-interference to environmental interference and are suitable for long-term continuous monitoring. 4) Laser scanner: used to capture the surface displacement and morphological changes of the corridor, provide high-resolution three-dimensional image data, and the collected parameters can be sent to the data detection module through a wireless sensor network.

[0074] Data detection module, used to detect the consistency and repeatability of status data;

[0075] The data judgment module is used to judge the abnormality of the status data when the status data is reliable;

[0076] The state prediction module is used to predict the state of the corridor according to the state data when the state data is abnormal over a large area. It can be installed on some electronic computer equipment.

[0077] The above system may also include some visual interfaces that can display the prediction results.

[0078] From the above description, it can be known that the method and system for monitoring the lifting process of a high-rise steel structure corridor under wind load provided by the present invention provide all-round monitoring data, and predict the state during lifting based on the multi-directional monitoring data, thereby improving the robustness of the system in complex environments, and can also significantly improve the monitoring capability of wind load effects on high-rise steel structure corridors during construction and use, thereby better ensuring the safety and functionality of the building.

[0079] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the attached claims.

Claims

1. A method for monitoring the lifting process of a high-rise steel structure corridor under wind load, characterized in that: The steps include: Real-time acquisition of status data during the corridor lifting process, wherein the status data includes several parameters; Performing consistency and repeatability testing on the status data; In the case where the status data is reliable, judging the abnormality of the status data; When the state data is abnormal over a large area, the state of the corridor is predicted based on the state data.

2. The method for monitoring the lifting process of a high-rise steel structure corridor under wind load as claimed in claim 1 is characterized in that: The real-time acquisition of status data during the corridor lifting process, wherein the status data includes several parameters, further includes: Acquiring initial data of the corridor in real time; The initial data is processed by Kalman filtering to obtain the state data.

3. The method for monitoring the lifting process of a high-rise steel structure corridor under wind load as claimed in claim 2 is characterized in that: The consistency and repeatability detection of the status data further includes: Obtaining values ​​of the status data at several adjacent time points; Get the difference between the parameters of adjacent status data.

4. The method for monitoring the lifting process of a high-rise steel structure corridor under wind load as claimed in claim 1, characterized in that: When the state data is reliable, judging whether the state data is abnormal further includes: comparing the status data with a corresponding preset threshold; If the state data is within a preset threshold range, the state data is considered normal; In the case where the status data exceeds a preset threshold range, the status data is considered abnormal.

5. The method for monitoring the lifting process of a high-rise steel structure corridor under wind load as claimed in claim 1, characterized in that: When the state data is abnormal over a large area, predicting the state of the corridor according to the state data further includes: Get the number of types of abnormal parameters in the status data; When the number of types exceeds the preset number, it is considered that the status data is abnormal in a large area; The state data is input into a structural evaluation model for prediction to obtain a prediction result.

6. The method for monitoring the lifting process of a high-rise steel structure corridor under wind load as claimed in claim 5, characterized in that: The monitoring method further comprises: An early warning reminder is issued based on the prediction results, wherein the early warning reminder includes an immediate intervention instruction, an adjustment and improvement strategy instruction, and a continued monitoring instruction.

7. A system for monitoring the lifting process of a high-rise steel structure corridor under wind load, used for implementing the method described in any one of claims 1 to 6, characterized in that: include: A data acquisition module is used to acquire the status data of the corridor during the lifting process in real time, wherein the status data includes several parameters; A data detection module, used for performing consistency and repeatability detection on the status data; A data judgment module, used to judge the abnormality of the status data when the status data is reliable; The state prediction module is used to predict the state of the corridor according to the state data when the state data is abnormal over a large area.

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