An intelligent monitoring system for house deformation risk

Abstract

This invention discloses an intelligent monitoring system for building deformation risk. This system can effectively address the shortcomings of traditional monitoring methods, enabling intelligent, real-time, and precise monitoring and early warning of building deformation risk, greatly improving the safety of building use and reducing the probability of safety accidents caused by building deformation.

Description

Technical Field

[0001] This invention relates to the field of building safety monitoring technology, and in particular to an intelligent monitoring system for building deformation risk. Background Technology

[0002] As buildings age and bear heavy loads over time, structural deformation can occur, such as wall cracks, roof subsidence, and beam bending. If these deformations are not detected and addressed promptly, they can lead to serious safety accidents like building collapses, endangering residents' lives and property. Traditional building monitoring relies heavily on periodic manual inspections, which suffer from long inspection cycles, low accuracy, and difficulty in real-time monitoring. Summary of the Invention

[0003] The purpose of this invention is to provide an intelligent monitoring system for building deformation risk, which can monitor the deformation risk of a building in real time and accurately due to its age or long-term heavy loads, and issue early warning information in a timely manner.

[0004] This system mainly consists of a sensor module, a data acquisition module, a data processing and analysis module, an early warning module, and a user terminal.

[0005] Sensor module:

[0006] Distributed in key parts of a building, such as walls, beams, columns, and foundations, these sensors include strain sensors, displacement sensors, and pressure sensors. Strain sensors detect the strain in the building structure, displacement sensors accurately measure displacement changes in various parts, and pressure sensors monitor the pressure distribution on the building. All sensors possess high sensitivity and high accuracy, capable of acquiring minute deformation and pressure data in real time.

[0007] Data acquisition module:

[0008] Connected to the sensor module, it is responsible for receiving analog signals collected by the sensor and converting them into digital signals. At the same time, it performs preliminary filtering and processing on the data to remove noise interference and abnormal data to ensure the accuracy and reliability of the data. Then, it transmits the processed data to the data processing and analysis module.

[0009] Data processing and analysis module:

[0010] Advanced algorithms and models are used to perform in-depth analysis of the received data. By establishing a mechanical model of the building structure and comparing actual monitoring data with theoretical data under normal conditions, the degree of deformation and risk level of the building are calculated. This module also has data storage capabilities, capable of storing long-term monitoring data for trend analysis and historical data retrieval.

[0011] Early warning module:

[0012] Based on the risk level determined by the data processing and analysis module, an early warning will be immediately activated when the risk level exceeds a preset threshold. Warning methods include, but are not limited to, audible and visual alarms and sending alarm information to user terminals. The warning information includes detailed information such as the specific location and degree of deformation of the building, as well as potential dangerous consequences.

[0013] User terminal:

[0014] It can be a mobile app, a computer client, etc. Users can view the monitoring data, deformation trends and early warning information of the house in real time through the terminal, so that the house management personnel or owners can understand the safety status of the house in a timely manner and take corresponding measures, such as arranging repairs and reinforcements.

[0015] Workflow:

[0016] 1. Sensor Deployment and Initialization: Before the building is constructed or put into use, based on the building's structural design drawings and mechanical analysis results, determine the installation locations of the sensors in key parts of the building (such as corners, beam-column connections, load-bearing walls, foundations, etc.). Install and fix strain sensors, displacement sensors, pressure sensors, etc., and perform initialization calibration to ensure that the sensors can accurately collect data.

[0017] 2. Data Acquisition Startup: After completing sensor installation and system debugging, start the data acquisition module. The sensor module collects data such as strain, displacement, and pressure of the building in real time and transmits them to the data acquisition module in the form of analog signals. The data acquisition module converts the received analog signals into digital signals and performs data cleaning to filter out abnormal data caused by environmental interference and other factors. The obtained valid data is then transmitted to the data processing and analysis module.

[0018] 3. Data Processing and Analysis: After receiving the data, the data processing and analysis module first uses the mechanical model of the building structure to perform calculations by substituting the real-time data into the model. By comparing the current data with standard data under normal building conditions, it calculates the deformation values ​​of various parts of the building, such as displacement and strain. Then, based on a preset risk assessment algorithm, combined with the deformation values ​​and building structural characteristics, it determines the building's deformation risk level. This level can be divided into multiple grades, such as low risk, medium risk, and high risk. Simultaneously, the processed data is stored in a local database for subsequent historical data tracing and trend analysis.

[0019] 4. Early Warning Judgment and Triggering: The early warning module acquires the risk level calculated by the data processing and analysis module in real time. When the risk level reaches or exceeds the preset early warning threshold, the early warning module immediately activates the early warning mechanism. On the one hand, it triggers an audible and visual alarm at the building site to attract the attention of surrounding personnel; on the other hand, it sends the early warning information to the user terminal via network communication, including detailed information such as the building number, specific deformation location, degree of deformation, risk level, and possible dangerous consequences, ensuring that building management personnel or owners can be promptly informed of any abnormalities in the building's safety status.

[0020] 5. User Response and Handling: After receiving early warning information via mobile app or computer client, users can view detailed monitoring data and analysis reports. Based on the risk level and the actual condition of the building, professional personnel will be arranged to conduct on-site inspections, formulate repair and reinforcement plans, or take other appropriate measures. During the repair and reinforcement process, the system continues to monitor building data to evaluate the repair effectiveness and adjust the plan in a timely manner. After the repair is completed, the system is reset and recalibrated, entering a new monitoring cycle. Detailed Implementation

[0021] After the building is constructed or renovated, the installation locations of the sensors are determined based on the building's structural characteristics and stress analysis. Strain sensors, displacement sensors, pressure sensors, etc., are then installed and debugged. The data acquisition module connects to the sensors and starts collecting data, which is then transmitted to the data processing and analysis module. The data processing and analysis module processes and analyzes the data according to a pre-set building structure model and algorithm, determining the deformation and risk level. When the early warning module receives a risk exceeding the threshold signal, it activates the corresponding early warning mechanism. Simultaneously, users can view relevant information and perform subsequent processing operations at any time through the terminal.

[0022] The intelligent monitoring system for building deformation risk of this invention can effectively solve the shortcomings of traditional monitoring methods, realize intelligent, real-time and accurate monitoring and early warning of building deformation risk, greatly improve the safety of building use and reduce the probability of safety accidents caused by building deformation.

[0023] Although the invention has been specifically shown and described in conjunction with preferred embodiments, those skilled in the art should understand that various changes in form and detail may be made to the invention without departing from the spirit and scope of the invention as defined in the appended claims, all of which shall be within the scope of protection of the invention.

Claims

1. An intelligent monitoring system for building deformation risk, characterized in that: It consists of a sensor module, a data acquisition module, a data processing and analysis module, an early warning module, and a user terminal.

2. The intelligent monitoring system for building deformation risk as described in claim 1, characterized in that: The sensor modules are distributed in key parts of the building, such as walls, beams, columns, and foundations, and include strain sensors, displacement sensors, and pressure sensors. Strain sensors detect the strain in the building structure, displacement sensors accurately measure displacement changes in various parts, and pressure sensors monitor the pressure distribution on the building. All sensors possess high sensitivity and high accuracy, enabling real-time acquisition of minute deformation and pressure data.

3. The intelligent monitoring system for building deformation risk as described in claim 1, characterized in that: The data acquisition module is connected to the sensor module and is responsible for receiving the analog signals collected by the sensor and converting them into digital signals. At the same time, it performs preliminary filtering and processing on the data to remove noise interference and abnormal data to ensure the accuracy and reliability of the data. Then, the processed data is transmitted to the data processing and analysis module.

4. The intelligent monitoring system for building deformation risk as described in claim 1, characterized in that: The data processing and analysis module employs advanced algorithms and models to perform in-depth analysis of the received data. By establishing a mechanical model of the building structure and comparing actual monitoring data with theoretical data under normal conditions, the module calculates the degree of deformation and risk level of the building. This module also has data storage capabilities, enabling it to store long-term monitoring data for trend analysis and historical data retrieval.

5. The intelligent monitoring system for building deformation risk as described in claim 1, characterized in that: The early warning module activates an early warning immediately when the risk level exceeds a preset threshold, based on the risk level determined by the data processing and analysis module. Early warning methods include, but are not limited to, audible and visual alarms and sending alarm information to user terminals. The early warning information includes detailed information such as the specific location and degree of deformation of the building, and potential dangerous consequences.

6. The intelligent monitoring system for building deformation risk as described in claim 1, characterized in that: The user terminal is a mobile app or a computer client.