Shock insulation support traceability monitoring method, system and equipment

Abstract

The invention discloses a seismic isolation support traceability monitoring method, system and device, and relates to the technical field of building vibration monitoring, and the method comprises the steps: setting a vibration monitoring point at a GIS based on the GIS according to the installation information of a first seismic isolation support; obtaining first vibration data through the feature codes; associating the vibration data with the monitoring points; second vibration data are obtained in combination with the monitoring points and the corresponding first vibration data; and finally obtaining a vibration analysis result according to the second vibration data. The problems that systems of the shock insulation support cannot cooperate well, related data cannot be utilized properly, and a large number of data assets are wasted are at least solved. The correlation between vibration data and position data is established, the GIS system is endowed with a vibration monitoring function, and vibration monitoring is developed from traditional single-point monitoring to linear and planar monitoring.

Description

Technical Field

[0001] The present application relates to the technical field of building vibration monitoring, and in particular to a seismic isolation bearing tracing monitoring method, system and equipment. Background Art

[0002] The seismic isolation bearing of a building is an important component specially designed to reduce the impact of earthquakes on buildings. The core function of the seismic isolation bearing is to "isolate" the direct impact of seismic waves on the building. By adding an isolation layer between the foundation and the superstructure of the building and installing devices such as rubber seismic isolation bearings, the seismic isolation bearing can effectively change the vibration frequency, thereby greatly reducing the seismic effect on the building. Seismic isolation bearings can significantly improve the seismic performance of buildings. Traditional seismic design often focuses on improving the stiffness and strength of the building structure to resist earthquakes. Seismic isolation technology achieves the effect of shock absorption and seismic isolation by extending the natural vibration period of the structure and reducing the transmission of seismic energy to the upper structure. This enables the building to better maintain its integrity and stability when an earthquake occurs, reducing the risk of structural damage and casualties. With the advancement of science and technology, seismic isolation bearings have also developed into various types to meet the needs of different buildings. For example, laminated rubber seismic isolation bearings, high damping rubber seismic isolation bearings, sliding seismic isolation bearings, and lead rubber seismic isolation bearings. These different types of seismic isolation bearings have their own unique performance and characteristics, and can be selected and used in combination according to factors such as the building's structural type, usage function, earthquake intensity and site conditions to achieve the best seismic effect.

[0003] Existing vibration monitoring can generally only monitor one building, which easily leads to data islands. It cannot collaborate well with other systems of the seismic isolation bearings, and the relevant data cannot be properly utilized, resulting in a large amount of data assets being wasted. Summary of the invention

[0004] The present invention provides a method, system and equipment for tracing and monitoring the seismic isolation bearing, which at least solves the problem that the existing vibration monitoring can generally only monitor one building, easily generates data islands, cannot cooperate well with other systems of the seismic isolation bearing, and the relevant data cannot be properly utilized, resulting in a large amount of data assets being wasted.

[0005] The present invention provides a seismic isolation bearing tracing monitoring method based on a GIS system, comprising: According to the installation information of at least one first seismic isolation support, at least one vibration monitoring point is set in the GIS system; Obtaining at least one first vibration data of at least one first seismic isolation support according to a characteristic code of at least one first seismic isolation support; Associating at least one of the first vibration data with at least one of the vibration monitoring points according to at least one of the first vibration data; According to at least one of the vibration monitoring points and at least one first vibration data corresponding to the vibration monitoring point, obtaining at least one second vibration data corresponding to at least one of the vibration monitoring points; A vibration analysis result is obtained according to at least one of the second vibration data based on a vibration analysis model.

[0006] Optionally, the step of setting at least one vibration monitoring point in the GIS system according to the installation information of at least one first seismic isolation support includes: According to the installation information of at least one first seismic isolation support, a binding relationship between the at least one first seismic isolation support and at least one entity in the GIS system is obtained; According to the binding relationship, obtaining coordinates of at least one entity bound to at least one of the first seismic isolation supports; According to the coordinates of at least one of the entities, at least one vibration monitoring point is set on the coordinates.

[0007] Optionally, obtaining at least one second vibration data corresponding to at least one vibration monitoring point according to at least one vibration monitoring point and at least one first vibration data corresponding to the vibration monitoring point includes: According to at least one of the vibration monitoring points and at least one first vibration data corresponding to the vibration monitoring point, at least one third vibration data corresponding to at least one of the first vibration data is obtained according to a preset vibration prediction model, wherein the vibration prediction model is configured as a model for predicting vibration data according to time series data, and the third vibration data is configured as vibration data of vibration generated by the disturbance of the entity itself corresponding to the third vibration data; At least one second vibration data corresponding to at least one vibration monitoring point is obtained according to the at least one third vibration data.

[0008] Optionally, obtaining at least one second vibration data corresponding to at least one vibration monitoring point according to at least one vibration monitoring point and at least one first vibration data corresponding to the vibration monitoring point includes: According to at least one of the vibration monitoring points and at least one first vibration data corresponding to the vibration monitoring point, and according to a preset indicator system, obtaining a first weight corresponding to at least one of the first vibration data; A weighted operation is performed on at least one of the first vibration data according to the at least one of the first vibration data and the first weight to obtain at least one of the second vibration data corresponding to at least one of the vibration monitoring points.

[0009] Optionally, obtaining a vibration analysis result based on a vibration analysis model according to at least one of the second vibration data further includes: According to at least one of the second vibration data, based on a vibration analysis model, obtain the amplitude, frequency, impact range and transmission direction of the vibration; Obtain vibration analysis results based on vibration amplitude, frequency, impact range and transmission direction.

[0010] Optionally, obtaining the amplitude, frequency, impact range and transmission direction of the vibration based on at least one of the second vibration data and a vibration analysis model includes: identifying at least one vibration based on a vibration analysis model according to at least one of the second vibration data; Obtaining the amplitude and frequency of the vibration according to at least one of the second vibration data corresponding to the vibration; According to the coordinates of at least one of the second vibration data corresponding to the vibration in the GIS system, the influence range and transmission direction of the vibration are obtained.

[0011] In another aspect, a seismic isolation bearing source tracing monitoring system includes a GIS platform and a vibration analysis platform; The GIS platform is configured to: According to the installation information of at least one first seismic isolation support, at least one vibration monitoring point is set in the GIS system; Obtaining at least one first vibration data of at least one first seismic isolation support according to a characteristic code of at least one first seismic isolation support; Associating at least one of the first vibration data with at least one of the vibration monitoring points according to at least one of the first vibration data; The vibration analysis platform is configured to: According to at least one of the vibration monitoring points and at least one first vibration data corresponding to the vibration monitoring point, obtaining at least one second vibration data corresponding to at least one of the vibration monitoring points; A vibration analysis result is obtained according to at least one of the second vibration data based on a vibration analysis model.

[0012] Optionally, a vibration monitoring platform is also included; The vibration monitoring platform is configured as follows: monitoring and acquiring vibration data of at least one of the first seismic isolation supports, associating the vibration data of at least one of the first seismic isolation supports with a characteristic code of at least one of the first seismic isolation supports and storing the data; In response to a request from the GIS platform, the vibration data of at least one of the first seismic isolation bearings and a corresponding characteristic code of at least one of the first seismic isolation bearings are sent to the GIS platform.

[0013] Optionally, it also includes a support traceability platform; When the installation information of the first seismic isolation bearing is received, the installation information of the first seismic isolation bearing is stored through the traceability blockchain; In response to a request from the GIS platform, installation information of at least one first seismic isolation bearing is sent to the GIS platform.

[0014] On the other hand, a device includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement any of the above methods.

[0015] On the other hand, a computer-readable storage medium is provided, wherein a computer program is stored on the computer-readable storage medium, and a processor executes the computer program to implement any of the above methods.

[0016] Compared with the prior art, the present invention has the following advantages and beneficial effects: The present invention discloses a method, system and equipment for tracing and monitoring the source of seismic isolation bearings, which are based on the GIS system and include: according to the installation information of at least one first seismic isolation bearing, at least one vibration monitoring point is set in the GIS system; according to the characteristic code of at least one first seismic isolation bearing, at least one first vibration data of at least one first seismic isolation bearing is obtained; according to at least one first vibration data, at least one first vibration data is associated with at least one vibration monitoring point; according to at least one vibration monitoring point and at least one first vibration data corresponding to the vibration monitoring point, at least one second vibration data corresponding to at least one vibration monitoring point is obtained; according to at least one second vibration data, a vibration analysis result is obtained based on a vibration analysis model. At least the problem that the existing vibration monitoring can generally only monitor one building, easily generates data islands, cannot cooperate well with other systems of seismic isolation bearings, and related data cannot be properly utilized, resulting in a large amount of data assets being wasted is solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the specific implementation of the present application or the technical solution in the prior art, the following is a brief introduction to the drawings required for the specific implementation or the prior art description. In all drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, each element or part is not necessarily drawn according to the actual scale.

[0018] Figure 1 It is a flow chart of the isolation bearing tracing monitoring method in this application; Figure 2 This is a schematic diagram of the structure of a computer device in this application.

[0019] Markings in the figure: 101 - processor, 102 - communication bus, 103 - network interface, 104 - user interface, 105 - memory.

[0020] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0021] In order to enable those skilled in the art to better understand the scheme of the present disclosure, the technical scheme in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in the field without creative work should fall within the scope of protection of the present disclosure.

[0022] It should be noted that the terms "first", "second", etc. in the specification and claims of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices.

[0023] Example 1 like Figure 1 As shown, a seismic isolation bearing source tracing monitoring method based on a GIS system includes: S1. According to the installation information of at least one first seismic isolation bearing, at least one vibration monitoring point is set in the GIS system.

[0024] Specifically, GIS system, or geographic information system, is a specific spatial information system. It is a technical system that collects, stores, manages, calculates, analyzes, displays and describes the geographical distribution data in the entire or part of the earth's surface space with the support of computer hardware and software systems. The following is a detailed analysis of the GIS system: GIS system has many functions, including but not limited to: Map production and updating: GIS can be used to produce various types of maps, including road maps, terrain maps, climate maps, etc., and can update map data in real time or periodically.

[0025] Geographic data integration: GIS can integrate and consolidate geographic data from different sources and types to build a rich geographic information database.

[0026] Spatial relationship analysis: GIS emphasizes the analysis of the spatial relationships of geographical phenomena, revealing the interactions and spatial distribution patterns between geographical phenomena.

[0027] Visual display: GIS can visualize geographic data in the form of maps, charts, three-dimensional models, etc., to help users understand geographic information intuitively.

[0028] Optionally, the seismic isolation bearings may be matched one-to-one with the vibration monitoring points, or multiple seismic isolation bearings may correspond to one vibration monitoring point.

[0029] Optionally, when multiple seismic isolation bearings correspond to one vibration monitoring point, the position of the vibration monitoring point may be obtained by calculating the coordinates of the multiple seismic isolation bearings according to a preset calculation method, or may be the geometric center of the multiple seismic isolation bearings.

[0030] S2. Obtain at least one first vibration data of at least one first seismic isolation bearing according to the characteristic code of at least one first seismic isolation bearing.

[0031] Optionally, according to the characteristic code of at least one first seismic isolation support, a method for obtaining at least one first vibration data of at least one first seismic isolation support is: According to the characteristic code of at least one first seismic isolation support, at least one first vibration data of at least one first seismic isolation support is obtained by querying in the vibration monitoring platform through the characteristic code.

[0032] Optionally, the first vibration data may be real-time data or data with a fixed delay.

[0033] S3. According to the at least one first vibration data, associate the at least one first vibration data with at least one vibration monitoring point.

[0034] Optionally, the first vibration data is associated with the vibration monitoring point according to the characteristic code and installation information of the first seismic isolation bearing.

[0035] Optionally, the first vibration data may be matched with the vibration monitoring points one by one, or a plurality of first vibration data may correspond to one vibration monitoring point.

[0036] S4. Obtain at least one second vibration data corresponding to the at least one vibration monitoring point according to the at least one vibration monitoring point and the at least one first vibration data corresponding to the vibration monitoring point.

[0037] Optionally, when a plurality of first vibration data correspond to one vibration monitoring point, calculation is performed according to a preset formula or weight to obtain at least one second vibration data corresponding to at least one vibration monitoring point.

[0038] S5. Obtain a vibration analysis result according to the at least one second vibration data and based on a vibration analysis model.

[0039] Optionally, the vibration analysis model is configured to analyze the second vibration data according to at least one second vibration data, and classify the second vibration data or part of the second vibration data caused by the same mechanical wave into one category.

[0040] Optionally, by analyzing the data in each type of data, the mechanical waves matching the data in that type of data may be analyzed to obtain vibration analysis results.

[0041] Through the above method, the association between vibration data and location data is established through the isolation bearing traceability system, which gives the GIS system the function of vibration monitoring, and enables vibration monitoring to develop from traditional single-point monitoring to "line" and "surface" monitoring. At least it solves the problem that the existing vibration monitoring can only monitor one building, which is prone to data islands, and cannot collaborate well with other systems of the isolation bearing. The relevant data cannot be properly utilized, resulting in a large amount of data assets being wasted.

[0042] Example 2 This embodiment provides a seismic isolation bearing source tracing monitoring method based on the GIS system, which includes: S1. According to the installation information of at least one first seismic isolation bearing, at least one vibration monitoring point is set in the GIS system.

[0043] Optionally, when multiple seismic isolation bearings correspond to one vibration monitoring point, the position of the vibration monitoring point may be obtained by calculating the coordinates of the multiple seismic isolation bearings according to a preset calculation method, or may be the geometric center of the multiple seismic isolation bearings.

[0044] Optionally, at least one vibration monitoring point is set in the GIS system according to the installation information of at least one first seismic isolation support, including: According to the installation information of at least one first seismic isolation support, a binding relationship between the at least one first seismic isolation support and at least one entity in the GIS system is obtained; According to the binding relationship, the coordinates of at least one entity bound to the at least one first seismic isolation support are obtained; According to the coordinates of at least one entity, at least one vibration monitoring point is set on the coordinates.

[0045] Optionally, entities in the GIS system refer to buildings, bridges, roads, etc. in the GIS system.

[0046] Optionally, the binding relationship between the first seismic isolation bearing and the entity in the GIS system means that the seismic isolation bearing is installed in the entity.

[0047] Optionally, setting a vibration monitoring point on the coordinates according to the coordinates of the entity means setting a virtual entity on the coordinates according to the coordinates of the entity, and setting the attributes of the virtual entity as the vibration monitoring point.

[0048] S2. Obtain at least one first vibration data of at least one first seismic isolation bearing according to the characteristic code of at least one first seismic isolation bearing.

[0049] Optionally, according to the characteristic code of at least one first seismic isolation support, a method for obtaining at least one first vibration data of at least one first seismic isolation support is: According to the characteristic code of at least one first seismic isolation support, at least one first vibration data of at least one first seismic isolation support is obtained by querying in the vibration monitoring platform through the characteristic code.

[0050] Optionally, the first vibration data may be real-time data or data with a fixed delay.

[0051] S3. According to the at least one first vibration data, associate the at least one first vibration data with at least one vibration monitoring point.

[0052] Optionally, the first vibration data may be matched with the vibration monitoring points one by one, or a plurality of first vibration data may correspond to one vibration monitoring point.

[0053] S4. Obtain at least one second vibration data corresponding to the at least one vibration monitoring point according to the at least one vibration monitoring point and the at least one first vibration data corresponding to the vibration monitoring point.

[0054] Optionally, obtaining at least one second vibration data corresponding to at least one vibration monitoring point according to at least one vibration monitoring point and at least one first vibration data corresponding to the vibration monitoring point includes: According to at least one vibration monitoring point and at least one first vibration data corresponding to the vibration monitoring point, at least one third vibration data corresponding to the at least one first vibration data is obtained according to a preset vibration prediction model, wherein the vibration prediction model is configured as a model for predicting vibration data according to time series data, and the third vibration data is configured as vibration data of vibration generated by a disturbance of the entity itself corresponding to the third vibration data; At least one second vibration data corresponding to at least one vibration monitoring point is obtained according to the at least one third vibration data.

[0055] Optionally, the third vibration data may be configured as vibration data generated by prediction based on vibration time series data, or may be configured as vibration data generated by prediction based on time series data of other facilities, equipment or behaviors that may cause vibration of the entity.

[0056] The above method can effectively filter the vibration data, making the second vibration data of the entity Optionally, when a plurality of first vibration data correspond to one vibration monitoring point, calculation is performed according to a preset formula or weight to obtain at least one second vibration data corresponding to at least one vibration monitoring point.

[0057] Optionally, obtaining at least one second vibration data corresponding to at least one vibration monitoring point according to at least one vibration monitoring point and at least one first vibration data corresponding to the vibration monitoring point includes: According to at least one vibration monitoring point and at least one first vibration data corresponding to the vibration monitoring point, a first weight corresponding to the at least one first vibration data is obtained according to a preset indicator system; According to the at least one first vibration data and the first weight, a weighted operation is performed on the at least one first vibration data to obtain at least one second vibration data corresponding to the at least one vibration monitoring point.

[0058] S5. Obtain a vibration analysis result according to the at least one second vibration data and based on a vibration analysis model.

[0059] Optionally, by analyzing the data in each type of data, the mechanical waves matching the data in that type of data may be analyzed to obtain vibration analysis results.

[0060] Optionally, obtaining a vibration analysis result according to the at least one second vibration data based on a vibration analysis model further includes: According to the at least one second vibration data, based on the vibration analysis model, the amplitude, frequency, impact range and transmission direction of the vibration are obtained; Obtain vibration analysis results based on vibration amplitude, frequency, impact range and transmission direction.

[0061] Optionally, according to at least one second vibration data, based on a vibration analysis model, the amplitude, frequency, impact range and transmission direction of the vibration are obtained, including: identifying at least one vibration based on a vibration analysis model according to the at least one second vibration data; Obtaining the amplitude and frequency of the vibration according to at least one second vibration data corresponding to the vibration; According to the coordinates of at least one second vibration data corresponding to the vibration in the GIS system, the influence range and transmission direction of the vibration are obtained.

[0062] Optionally, vibration refers to continuous or intermittent vibration or mechanical wave less than a threshold value generated by any source.

[0063] Optionally, identifying at least one vibration means identifying the influence of a vibration of a source on each vibration monitoring point. Because the second vibration data of a vibration monitoring point may be formed by the superposition of mechanical waves generated by multiple sources, each mechanical wave needs to be analyzed for further analysis.

[0064] Optionally, before obtaining the vibration analysis result according to the at least one second vibration data and based on the vibration analysis model, the method further includes: An initial model is defined, where the initial model is configured to take the vibration time series data collected by at least one set of sensors as input and take at least one vibration and the effect of the vibration on each sensor as output; optionally, a deep learning framework and architecture are selected for the initial model when defining the initial model; specifically, the deep learning framework includes TensorFlow, PyTorch, etc., and the architecture includes Seq2Seq, GNN, etc.; Get the data set for model training and divide the data set into a training set and a validation set; Train the model according to the data set and adjust the model parameters to make the model meet the expected needs; The model that meets the expected requirements is the vibration analysis model.

[0065] Optionally, the data set includes input data and output data corresponding to each other, the input data includes vibration timing data collected by at least one group of sensors, and the output data includes vibrations corresponding to the vibration timing data collected by at least one group of sensors and vibration timing data collected by at least one group of sensors when the vibration acts alone.

[0066] Optionally, a vibration analysis result is obtained according to the first difference data and the second difference data based on a preset indicator system.

[0067] Optionally, the method for obtaining the vibration analysis result according to the amplitude, frequency, impact range and transmission direction of the vibration may be: An index system or model is established based on the amplitude, frequency, impact range and transmission direction of vibration, and the vibration analysis results are obtained through the index system or model.

[0068] The following is a pseudocode example for building a vibration analysis model. The specific implementation can depend on specific deep learning frameworks, such as TensorFlow, PyTorch, etc., and specific model architectures, such as Seq2Seq, GNN, etc. The following pseudocode will adopt a more general form and focus on describing the logical process rather than specific programming details.

[0069] Python # Pseudocode example: Process sensor vibration time series data and output the source and its effect on the sensor # Import necessary libraries (specific deep learning frameworks and tools need to be imported in actual code) # import tensorflow as tf# or import torch # from some_library import some_function# Replace with the function you actually need # Data preparation phase def load_data(): # Load sensor data from a file or database # Sensor data should be an array containing multiple time series, one for each sensor # You also need to load the corresponding vibration tags and sensor impact data pass def preprocess_data(data): # Perform preprocessing operations such as cleaning, normalization, and feature extraction on the data # Return processed data and labels pass # Model definition phase class SeismicSourceModel: def __init__(self, input_shape, num_sensors, num_sources): # Initialize model parameters, such as input shape, number of sensors, etc. # Build model architecture, such as Seq2Seq or GNN pass def compile(self, optimizer, loss_functions): # Compile the model, set the optimizer and loss function # Loss functions may include regression loss and classification loss, etc. pass def train(self, x_train, y_train, epochs, batch_size): # Train the model pass def predict(self, x_test): # Use the model to make predictions # Returns predicted vibration information and sensor impact pass # Model training and evaluation phase def train_and_evaluate_model(): # Load and preprocess data data, labels = load_data() x_train, y_train, x_test, y_test = preprocess_data(data, labels) # Initialize the model model = SeismicSourceModel(input_shape=x_train.shape[1:], num_sensors=len(x_train[0]), num_sources=len(y_train[0]['sources'])) # Compile the model model.compile(optimizer='adam', loss_functions=['mse', 'categorical_crossentropy'])# Example loss function, which needs to be adjusted according to the task # Train the model model.train(x_train, y_train, epochs=100, batch_size=32) # Evaluate the model predictions = model.predict(x_test) # Calculate evaluation indicators, such as accuracy, recall, F1 score, mean square error, etc. # Output results # Main function def main(): # Train and evaluate the model train_and_evaluate_model() # Execute the main function if __name__ == "__main__": main().

[0070] The above method is different from traditional static analysis. It combines vibration data with GIS information organically, and can analyze each vibration dynamically and accurately.

[0071] Example 3 A seismic isolation bearing source tracing monitoring system, including a GIS platform and a vibration analysis platform; The GIS platform is configured as: According to the installation information of at least one first seismic isolation support, at least one vibration monitoring point is set in the GIS system; Obtaining at least one first vibration data of at least one first seismic isolation support according to the characteristic code of at least one first seismic isolation support; Associating the at least one first vibration data with at least one vibration monitoring point according to the at least one first vibration data; The vibration analysis platform is configured as: According to at least one vibration monitoring point and at least one first vibration data corresponding to the vibration monitoring point, obtaining at least one second vibration data corresponding to the at least one vibration monitoring point; A vibration analysis result is obtained according to the at least one second vibration data based on a vibration analysis model.

[0072] Optionally, a vibration monitoring platform is also included; The vibration monitoring platform is configured as: Monitoring and acquiring vibration data of at least one first seismic isolation support, associating the vibration data of at least one first seismic isolation support with a characteristic code of at least one first seismic isolation support and storing the data; In response to a request from the GIS platform, the vibration data of the at least one first seismic isolation bearing and the corresponding characteristic code of the at least one first seismic isolation bearing are sent to the GIS platform.

[0073] Optionally, it also includes a support traceability platform; When the installation information of the first seismic isolation bearing is received, the installation information of the first seismic isolation bearing is stored through the traceability blockchain; In response to a request from the GIS platform, installation information of at least one first seismic isolation bearing is sent to the GIS platform.

[0074] Optionally, at least one vibration monitoring point is set in the GIS system according to the installation information of at least one first seismic isolation support, including: According to the installation information of at least one first seismic isolation support, a binding relationship between the at least one first seismic isolation support and at least one entity in the GIS system is obtained; According to the binding relationship, the coordinates of at least one entity bound to the at least one first seismic isolation support are obtained; According to the coordinates of at least one entity, at least one vibration monitoring point is set on the coordinates.

[0075] Optionally, obtaining at least one second vibration data corresponding to at least one vibration monitoring point according to at least one vibration monitoring point and at least one first vibration data corresponding to the vibration monitoring point includes: According to at least one vibration monitoring point and at least one first vibration data corresponding to the vibration monitoring point, at least one third vibration data corresponding to the at least one first vibration data is obtained according to a preset vibration prediction model, wherein the vibration prediction model is configured as a model for predicting vibration data according to time series data, and the third vibration data is configured as vibration data of vibration generated by a disturbance of the entity itself corresponding to the third vibration data; At least one second vibration data corresponding to at least one vibration monitoring point is obtained according to the at least one third vibration data.

[0076] Optionally, obtaining at least one second vibration data corresponding to at least one vibration monitoring point according to at least one vibration monitoring point and at least one first vibration data corresponding to the vibration monitoring point includes: According to at least one vibration monitoring point and at least one first vibration data corresponding to the vibration monitoring point, a first weight corresponding to the at least one first vibration data is obtained according to a preset indicator system; According to the at least one first vibration data and the first weight, a weighted operation is performed on the at least one first vibration data to obtain at least one second vibration data corresponding to the at least one vibration monitoring point.

[0077] Optionally, obtaining a vibration analysis result according to the at least one second vibration data based on a vibration analysis model further includes: According to the at least one second vibration data, based on the vibration analysis model, the amplitude, frequency, impact range and transmission direction of the vibration are obtained; Obtain vibration analysis results based on vibration amplitude, frequency, impact range and transmission direction.

[0078] Optionally, according to at least one second vibration data, based on a vibration analysis model, the amplitude, frequency, impact range and transmission direction of the vibration are obtained, including: identifying at least one vibration based on a vibration analysis model according to the at least one second vibration data; Obtaining the amplitude and frequency of the vibration according to at least one second vibration data corresponding to the vibration; According to the coordinates of at least one second vibration data corresponding to the vibration in the GIS system, the influence range and transmission direction of the vibration are obtained.

[0079] Example 4 This embodiment provides a device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement any of the above methods.

[0080] Specifically, Figure 2 As shown, Figure 2 This is a schematic diagram of the structure of an electronic device of the hardware operating environment involved in the embodiment of the present application. The electronic device may include: a processor 101, such as a central processing unit (CPU), a communication bus 102, a user interface 104, a network interface 103, and a memory 105. Among them, the communication bus 102 is used to realize the connection and communication between these components. The user interface 104 may include a display (Display), an input unit such as a keyboard (Keyboard), and the user interface 104 may also include a standard wired interface and a wireless interface. The network interface 103 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (WIreless-FIdelity, WI-FI) interface). The memory 105 may optionally be a storage device independent of the aforementioned processor 101. The memory 105 may be a high-speed random access memory (RAM) memory, or it may be a stable non-volatile memory (NVM), such as at least one disk storage. The processor 101 may be a general-purpose processor, including a central processing unit, a network processor, etc., or it may be a digital signal processor, an application-specific integrated circuit, a field programmable gate array or other programmable logic device, a discrete gate or transistor logic device, or a discrete hardware component.

[0081] Those skilled in the art will appreciate that Figure 2 The structure shown in the figure does not constitute a limitation on the electronic device, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0082] like Figure 2 As shown, the memory 105 as a storage medium may include an operating system, a network communication module, a user interface module, and an application program for implementing a seismic isolation bearing tracing monitoring method.

[0083] exist Figure 2In the electronic device shown, the network interface 103 is mainly used for data communication with the network server; the user interface 104 is mainly used for data interaction with the user; the processor 101 and the memory 105 in the present application can be set in the electronic device, and the electronic device calls the application program stored in the memory 105 for implementing a seismic isolation bearing tracing monitoring method through the processor 101 to implement the above method.

[0084] Example 5 This embodiment provides a computer-readable storage medium, on which a computer program is stored, and a processor executes the computer program to implement any of the above methods.

[0085] In some embodiments, the computer readable storage medium may be a memory such as FRAM, ROM, PROM, EPROM, EEPROM, flash memory, magnetic surface memory, optical disk, or CD-ROM; or various devices including one or any combination of the above memories. The computer may be various computing devices including intelligent terminals and servers.

[0086] In the above embodiments of the present disclosure, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0087] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0088] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0089] In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0090] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable non-volatile storage medium. Based on this understanding, the technical solution of the present disclosure is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a non-volatile storage medium, including a number of instructions to enable a device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the various embodiments of the present disclosure. The aforementioned non-volatile storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk and other media that can store program codes.

[0091] The above are only preferred embodiments of the present disclosure. It should be pointed out that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present disclosure. These improvements and modifications should also be regarded as the protection scope of the present disclosure.

Claims

1. A seismic isolation bearing tracing monitoring method, characterized in that: Based on GIS system, including: According to the installation information of at least one first seismic isolation support, at least one vibration monitoring point is set in the GIS system; Obtaining at least one first vibration data of at least one first seismic isolation support according to a characteristic code of at least one first seismic isolation support; Associating at least one of the first vibration data with at least one of the vibration monitoring points according to at least one of the first vibration data; According to at least one of the vibration monitoring points and at least one first vibration data corresponding to the vibration monitoring point, obtaining at least one second vibration data corresponding to at least one of the vibration monitoring points; A vibration analysis result is obtained according to at least one of the second vibration data based on a vibration analysis model.

2. A seismic isolation bearing source tracing monitoring method as claimed in claim 1, characterized in that: The step of setting at least one vibration monitoring point in the GIS system according to the installation information of at least one first seismic isolation support comprises: According to the installation information of at least one first seismic isolation support, a binding relationship between the at least one first seismic isolation support and at least one entity in the GIS system is obtained; According to the binding relationship, obtaining coordinates of at least one entity bound to at least one of the first seismic isolation supports; According to the coordinates of at least one of the entities, at least one vibration monitoring point is set on the coordinates.

3. A seismic isolation bearing source tracing monitoring method as claimed in claim 1, characterized in that: The step of obtaining, according to the at least one vibration monitoring point and the at least one first vibration data corresponding to the vibration monitoring point, at least one second vibration data corresponding to the at least one vibration monitoring point comprises: According to at least one of the vibration monitoring points and at least one first vibration data corresponding to the vibration monitoring point, at least one third vibration data corresponding to at least one of the first vibration data is obtained according to a preset vibration prediction model, wherein the vibration prediction model is configured as a model for predicting vibration data according to time series data, and the third vibration data is configured as vibration data of vibration generated by the disturbance of the entity itself corresponding to the third vibration data; At least one second vibration data corresponding to at least one vibration monitoring point is obtained according to the at least one third vibration data.

4. A seismic isolation bearing source tracing monitoring method as claimed in claim 1 or 3, characterized in that: The step of obtaining, according to the at least one vibration monitoring point and the at least one first vibration data corresponding to the vibration monitoring point, at least one second vibration data corresponding to the at least one vibration monitoring point comprises: According to at least one of the vibration monitoring points and at least one first vibration data corresponding to the vibration monitoring point, and according to a preset indicator system, obtaining a first weight corresponding to at least one of the first vibration data; A weighted operation is performed on at least one of the first vibration data according to the at least one of the first vibration data and the first weight to obtain at least one of the second vibration data corresponding to at least one of the vibration monitoring points.

5. The seismic isolation bearing source tracing monitoring method according to claim 1, characterized in that: The step of obtaining a vibration analysis result based on a vibration analysis model according to at least one of the second vibration data further includes: According to at least one of the second vibration data, based on a vibration analysis model, obtain the amplitude, frequency, impact range and transmission direction of the vibration; Obtain vibration analysis results based on vibration amplitude, frequency, impact range and transmission direction.

6. A seismic isolation bearing source tracing monitoring method as claimed in claim 5, characterized in that: The step of obtaining the amplitude, frequency, impact range and transmission direction of the vibration based on at least one of the second vibration data and a vibration analysis model comprises: identifying at least one vibration based on a vibration analysis model according to at least one of the second vibration data; Obtaining the amplitude and frequency of the vibration according to at least one of the second vibration data corresponding to the vibration; According to the coordinates of at least one of the second vibration data corresponding to the vibration in the GIS system, the influence range and transmission direction of the vibration are obtained.

7. A seismic isolation bearing tracing monitoring system, characterized in that: Including GIS platform and vibration analysis platform; The GIS platform is configured to: According to the installation information of at least one first seismic isolation support, at least one vibration monitoring point is set in the GIS system; Obtaining at least one first vibration data of at least one first seismic isolation support according to a characteristic code of at least one first seismic isolation support; Associating at least one of the first vibration data with at least one of the vibration monitoring points according to at least one of the first vibration data; The vibration analysis platform is configured to: According to at least one of the vibration monitoring points and at least one first vibration data corresponding to the vibration monitoring point, obtaining at least one second vibration data corresponding to at least one of the vibration monitoring points; A vibration analysis result is obtained according to at least one of the second vibration data based on a vibration analysis model.

8. The seismic isolation bearing source tracing monitoring system according to claim 7, characterized in that: It also includes a vibration monitoring platform; The vibration monitoring platform is configured as follows: monitoring and acquiring vibration data of at least one of the first seismic isolation supports, associating the vibration data of at least one of the first seismic isolation supports with a characteristic code of at least one of the first seismic isolation supports and storing the data; In response to a request from the GIS platform, the vibration data of at least one of the first seismic isolation bearings and a corresponding characteristic code of at least one of the first seismic isolation bearings are sent to the GIS platform.

9. The seismic isolation bearing source tracing monitoring system according to claim 7, characterized in that: It also includes a support traceability platform; When the installation information of the first seismic isolation bearing is received, the installation information of the first seismic isolation bearing is stored through the traceability blockchain; In response to a request from the GIS platform, installation information of at least one first seismic isolation bearing is sent to the GIS platform.

10. A device, characterized in that: The device comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the method according to any one of claims 1 to 6.

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