Building structure comprehensive safety monitoring system

Abstract

The invention discloses a comprehensive safety monitoring system for a building structure. The comprehensive safety monitoring system comprises an equipment sensing unit, a data processing unit, a system management unit, a terminal monitoring platform and a communication unit. The sensing module is integrated in the equipment main body of the equipment sensing unit, the equipment sensing unit is convenient to install and use, the MEMS sensor technology based on microelectronic elements and micromechanical elements is adopted, the acceleration, angle, temperature and humidity, wall internal stress and settlement change of a building structure are accurately monitored, and the construction quality is improved. According to the method, a plurality of algorithm models in an algorithm processing module of a data processing unit are matched, the health state of a monitoring structure is comprehensively judged, abnormal data are classified and managed according to disaster types, corresponding emergency rescue measures are intelligently recommended, and according to the autocorrelation and seasonality of sensing data and based on historical data, the monitoring structure is monitored. The method is used for predicting the trend of future sensing data, and predicting potential risks possibly occurring in the future in cooperation with a danger data threshold value, set by the system, of a building structure and big data analysis.

Description

Technical Field

[0001] The invention relates to the technical field of building structure monitoring, and in particular to a building structure comprehensive safety monitoring system. Background Art

[0002] Structural safety monitoring is used to monitor the safety performance of buildings or structures in real time. It can monitor multiple structural monitoring indicators such as displacement, settlement, tilt, vibration, acceleration, as well as environmental parameters such as temperature and humidity. These monitoring data are crucial for assessing the health of the structure, timely discovering potential safety hazards, preventing accidents, and guiding the maintenance and reinforcement of the structure.

[0003] At present, most building structure safety monitoring systems rely on single sensors, such as stress sensors, temperature sensors, etc., and cannot achieve the effect of multi-sensor synchronous monitoring. In addition, the installation and removal work is complicated, which greatly limits the monitoring effect in places without wiring. It is impossible to effectively realize multi-dimensional data integration and real-time monitoring. In addition, existing systems generally lack data prediction functions, making it difficult to provide timely warnings of potential structural problems.

[0004] Therefore, how to develop a single device that integrates multiple sensor access to achieve comprehensive monitoring effects, reduce the number of detection sensors and the difficulty of on-site wiring, and monitor equipment status and location information at the same time to ensure that the multi-dimensional safety parameters of the building structure can be comprehensively monitored and have real-time early warning capabilities is the research direction. Summary of the invention

[0005] In order to solve the technical problems that the existing monitoring systems have single equipment parameters, low integration, a single device cannot achieve multi-sensor synchronous monitoring effects, the installation work is complicated, the monitoring effect is greatly limited in places where wiring is not available, and multi-dimensional data integration and real-time monitoring cannot be effectively achieved, and the existing systems generally lack data prediction functions and are difficult to timely warn of potential structural problems, the present invention provides a comprehensive safety monitoring system for building structures.

[0006] To achieve the above-mentioned object, the present invention provides the following technical solutions: a comprehensive safety monitoring system for building structures, comprising an equipment sensing unit, a data processing unit, a system management unit, a terminal monitoring platform and a communication unit;

[0007] The device sensing unit comprises a device body, the device body has a built-in mainboard, and the mainboard is integrated with a sensing module and a high-precision positioning module;

[0008] The data processing unit includes an algorithm processing module and a storage service module;

[0009] The system management unit includes a management service module, an SDR log module and a power module;

[0010] The communication unit includes a LoRa communication module and a 4G communication module, supporting multiple communication protocols;

[0011] Among them, the communication unit realizes data exchange and communication between various components within the system through the base station, LoRa communication module and 4G communication module.

[0012] Preferably, the sensing module includes an inclination sensor, a stress sensor, an acceleration sensor, a temperature and humidity sensor, and a static level sensor, which are used for preliminary collection and preprocessing of sensing data;

[0013] The high-precision positioning module is used for nanometer-level precision positioning of the device body through the RTK algorithm built into the Quectel communication module.

[0014] Preferably, the algorithm processing module includes a random forest model, a linear regression model and a time series analysis technology, wherein the random forest model classifies and counts the received sensor data through feature selection, and constructs multiple decision trees to improve the accuracy and stability of sensor data classification;

[0015] The linear regression model is used to predict future sensor measurements or analyze long-term trends of data by establishing a linear functional relationship between time and sensor measurements, and is also used to predict and repair missing sensor measurement data;

[0016] The time series analysis technology is used to predict the trend of future sensor data based on the autocorrelation and seasonality of the sensor data by designing an algorithm.

[0017] Preferably, the management service module includes remote communication, abnormal data warning and remote equipment monitoring, wherein the remote communication sets a 500ms pulse signal through a watchdog timer to feed the dog regularly, and the remote equipment monitoring accurately locates the position of the equipment body through a high-precision positioning module, and monitors various sensor data through remote control.

[0018] Preferably, the management service module sets a dangerous data threshold according to the building structure, and when the sensor data it receives exceeds the dangerous data threshold, it initiates an abnormal data warning, performs data diagnosis through neural networks and expert knowledge, and classifies and manages abnormal data according to disaster types, while intelligently recommending emergency rescue measures.

[0019] Preferably, the SDR log module includes equipment ledger, alarm records, protocol logs and user information. The equipment ledger records the basic information and usage of all equipment entities. The alarm records also include monitoring alarms and equipment alarms.

[0020] Preferably, the monitoring alarm records abnormal data warnings, the device alarm records remote device monitoring, and the storage service module marks abnormal data for abnormal data warnings and stores them in a database.

[0021] Preferably, the protocol log is used to record communication activities between different device entities, and the user information is used to define the permissions and roles of various types of users in the system, including platform SMS and message management.

[0022] Preferably, the power module includes a large-capacity lithium-ion battery and a PET solar panel.

[0023] Preferably, the terminal monitoring platform can be a mobile phone, an Internet computer or a tablet.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] 1. The device body of the present invention is integrated with a sensor module through the main board, which is easy to install and use. It adopts MEMS sensor technology based on microelectronic components and micromechanical components to accurately monitor the acceleration, angle, temperature and humidity, wall internal stress, and settlement changes of the building structure, and uses the small amplitude of the angle and acceleration changes to accurately collect micro variables to ensure that the monitoring data has excellent accuracy and stability. In conjunction with the various algorithm models in the algorithm processing module, the acceleration and angle change directions of the building surface, main beams and columns are monitored in combination with the wall internal stress by tilt acceleration, and the temperature and humidity changes as well as the internal stress are combined to comprehensively judge the health status of the monitoring structure, and classify and manage the abnormal data according to the disaster type, and intelligently recommend corresponding emergency rescue measures.

[0026] 2. The data processing unit of the present invention utilizes the random forest model, linear regression model and time series analysis technology in the algorithm processing module. The received sensor data is classified and counted through feature selection, and multiple decision trees are constructed to improve the accuracy and stability of sensor data classification. A linear function relationship between time and sensor measurement values ​​is then established to predict future sensor measurement values ​​or analyze the long-term trend of data, and also to predict and repair missing sensor measurement data. Finally, the time series analysis technology is used to predict the trend of future sensor data based on historical data by designing an algorithm according to the autocorrelation and seasonality of sensor data, and in combination with the dangerous data threshold and big data of the building structure set by the system to predict potential risks that may arise in the future.

[0027] 3. The remote equipment monitoring of the present invention accurately locates the position of the equipment body through a high-precision positioning module, and introduces a map mode to form a list of monitoring points, which is convenient for personnel to intuitively view the distribution of the equipment body through the map. At the same time, the sensor data of the safety of various building structures can be monitored and viewed on the terminal monitoring platform through remote control. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 This is a system network architecture diagram of the present invention;

[0029] Figure 2 It is a schematic diagram of the system architecture of the present invention;

[0030] Figure 3 This is a schematic diagram of the installation of the main body of the device of the present invention;

[0031] Figure 4 It is a schematic diagram of the sensor module integration of the present invention;

[0032] Figure 5 It is a framework diagram of the device sensing unit of the present invention;

[0033] Figure 6 Provide a data processing unit framework diagram for the present invention;

[0034] Figure 7 It is a framework diagram of the system management unit of the present invention;

[0035] Figure 8 This is a schematic diagram of abnormal data diagnostic marking of the present invention;

[0036] Fig. 9 It is a framework diagram of a communication unit of the present invention;

[0037] Fig.10 The system login display interface diagram of the present invention;

[0038] Fig.11 It is a system function display interface diagram of the present invention;

[0039] Fig.12 It is a schematic diagram of system sensing data monitoring of the present invention;

[0040] Fig.13 This is a schematic diagram of system equipment positioning monitoring of the present invention. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments 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.

[0042] See also Figure 1 - Fig.13 The present invention provides an embodiment: a building structure comprehensive safety monitoring system, including a device sensing unit, a data processing unit, a system management unit, a communication unit and a terminal monitoring platform, the device sensing unit includes a device body, the device body is built with a main board, the main board is integrated with a sensor module and a high-precision positioning module, the device body is installed on the building to be tested when in use, the communication unit includes a LoRa communication module and a 4G communication module, supports multiple communication protocols, selects a LoRa communication module of a 433MHZ frequency band, the main board is connected to the LoRa communication module, the main control chip is connected to the 4G communication module, the communication unit receives and sends data with the LoRa communication module and the 4G communication module through a base station, realizes data exchange and communication between various unit components in the system, when each module of the system receives a message through LoRa or 4G or performs verification processing, after success, forwarding or other processing is performed, when each module of the system needs to send data, it will also verify, and after passing, it needs to send by LoRa or 4G;

[0043] Furthermore, the high-precision positioning module uses the built-in RTK algorithm of the Quectel communication module to perform nanometer-level precision positioning of the device body. The sensor module includes an inclination sensor, a stress sensor, an acceleration sensor, a temperature and humidity sensor, and a static level sensor. The device body is a highly integrated monitoring device that integrates acceleration, angle, temperature and humidity, wall stress, and settlement changes. It is used to collect data on acceleration, angle, temperature and humidity, wall stress, and settlement changes of building structures. It uses MEMS sensor technology based on microelectronic components and micromechanical components, and uses the tiny amplitude of angle and acceleration changes to accurately collect micro variables, ensuring that the monitoring data has excellent accuracy and stability, and pre-processes these sensor data by cleaning and denoising.

[0044] Furthermore, the data processing unit includes an algorithm processing module and a storage service module. The algorithm processing module includes a random forest model, a linear regression model and a time series analysis technology. The random forest model classifies and counts the received sensor data through feature selection, and constructs multiple decision trees to improve the accuracy and stability of sensor data classification. The linear regression model is used to predict future sensor measurements or analyze the long-term trend of data by establishing a linear function relationship between time and sensor measurements, and is also used to predict and repair missing sensor measurement data. The time series analysis technology is used to predict the trend of future sensor data based on historical data by designing an algorithm according to the autocorrelation and seasonality of sensor data, and is used to predict potential risks that may occur in the future in conjunction with the dangerous data threshold of the building structure set by the system and big data;

[0045] Furthermore, the terminal monitoring platform can be a mobile phone, an Internet computer or a tablet. The system management unit includes a management service module, an SDR log module and a power module. The power module includes a large-capacity lithium-ion battery and a PET solar panel. The power supply method of the large-capacity lithium-ion battery or the built-in lithium battery + PET small solar panel can meet various application scenarios of the system.

[0046] Furthermore, the management service module includes remote communication, remote equipment monitoring and abnormal data warning. Remote communication sets a 500ms pulse signal through the watchdog timer to feed the watchdog regularly to prevent the system software from freezing. Remote equipment monitoring accurately locates the position of the equipment body through the high-precision positioning module, and introduces the map mode to form a list of monitoring points, which is convenient for personnel to intuitively view the distribution of the equipment body through the map. At the same time, the sensor data of various building structure safety can be monitored and viewed on the terminal monitoring platform through remote control;

[0047] Furthermore, the sensor data is transmitted to the management service module via the algorithm processing module. The management service module sets a dangerous data threshold according to the building structure. When a certain sensor data received exceeds the dangerous data threshold, the abnormal data warning is activated, and data diagnosis is performed through neural networks and expert knowledge. The acceleration, angle change direction, and internal stress change direction of the building surface, main beams and columns are monitored by tilt acceleration combined with wall internal stress. Combined with the acceleration, angle change direction, temperature and humidity changes, and internal stress size, the health status of the monitored structure is comprehensively judged, and abnormal data is classified and managed according to the disaster type, and corresponding emergency rescue measures are intelligently recommended;

[0048] Furthermore, the SDR log module includes equipment records, alarm records, protocol logs and user information. The alarm records also include monitoring alarms and equipment alarms. Monitoring alarms record abnormal data warnings, and equipment alarms record remote equipment monitoring. The storage service module marks abnormal data for abnormal data warnings and stores them in the database to facilitate the next comparison and verification with similar abnormal data, and quickly and accurately diagnose abnormal data.

[0049] Furthermore, the equipment ledger records the basic information and usage of all equipment entities, and records the maintenance history of the equipment, which helps to predict the maintenance cycle and replacement cycle of the equipment, arrange maintenance and replacement plans in advance, and avoid the impact of equipment failure on production. The protocol log is used to record the communication activities between different equipment entities, including the communication protocols and data exchange processes between various sensors, data processing units and management units in the system. By viewing these logs, you can clearly understand the interaction between devices, including data requests, responses, transmission status, etc., to ensure that every communication can be traced and reproduced;

[0050] Furthermore, user information is used to define the permissions and roles of various types of users in the system, including platform SMS and message management. The building safety monitoring system involves a variety of users, such as administrators, operators, monitoring engineers, and external auditors. Each user will have different permission levels according to their role, which determines what data they can access and what operations they can perform;

[0051] Furthermore, in general, it can be set up so that the administrator has the highest authority and can configure the system, manage users and view all monitoring data; the operator is responsible for daily monitoring operations and has partial data viewing and operation permissions; the reviewer can only view specific data for assessing the safety of the building; thus, by accurately recording user information, the system can ensure the security of the data and prevent unauthorized personnel from accessing or modifying sensitive information.

[0052] It is obvious to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential features of the present invention. Therefore, the embodiments should be regarded as exemplary and non-limiting from any point of view, and the scope of the present invention is defined by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention, and any reference numerals in the claims should not be regarded as limiting the claims involved.

Claims

1. A building structure comprehensive safety monitoring system, characterized by: It includes equipment sensing unit, data processing unit, system management unit, terminal monitoring platform and communication unit; The device sensing unit comprises a device body, the device body has a built-in mainboard, and the mainboard is integrated with a sensing module and a high-precision positioning module; The data processing unit includes an algorithm processing module and a storage service module; The system management unit includes a management service module, an SDR log module and a power module; The communication unit includes a LoRa communication module and a 4G communication module, and supports multiple communication protocols; Among them, the communication unit realizes data exchange and communication between various components within the system through the base station, LoRa communication module and 4G communication module.

2. A building structure comprehensive safety monitoring system according to claim 1, characterized in that: The sensing module includes an inclination sensor, a stress sensor, an acceleration sensor, a temperature and humidity sensor, and a static level sensor, which are used for preliminary collection and preprocessing of sensing data; The high-precision positioning module is used for nanometer-level precision positioning of the device body through the RTK algorithm built into the Quectel communication module.

3. A building structure comprehensive safety monitoring system according to claim 1, characterized in that: The algorithm processing module includes a random forest model, a linear regression model and a time series analysis technology, wherein the random forest model classifies and counts the received sensor data through feature selection, and constructs multiple decision trees to improve the accuracy and stability of sensor data classification; The linear regression model is used to predict future sensor measurements or analyze long-term trends of data by establishing a linear functional relationship between time and sensor measurements, and is also used to predict and repair missing sensor measurement data; The time series analysis technology is used to predict the trend of future sensor data based on the autocorrelation and seasonality of the sensor data by designing an algorithm.

4. A building structure comprehensive safety monitoring system according to claim 1, characterized in that: The management service module includes remote communication, abnormal data warning and remote equipment monitoring. The remote communication sets a 500ms pulse signal through the watchdog timer to feed the dog regularly. The remote equipment monitoring accurately locates the position of the equipment body through a high-precision positioning module and monitors various sensor data through remote control.

5. A building structure comprehensive safety monitoring system according to claim 1, characterized in that: The management service module sets a dangerous data threshold according to the building structure. When the sensor data it receives exceeds the dangerous data threshold, it initiates abnormal data warning, performs data diagnosis through neural networks and expert knowledge, and classifies and manages abnormal data according to disaster types, while intelligently recommending emergency rescue measures.

6. A building structure comprehensive safety monitoring system according to claim 1, characterized in that: The SDR log module includes equipment records, alarm records, protocol logs and user information. The equipment records record the basic information and usage of all equipment entities. The alarm records also include monitoring alarms and equipment alarms.

7. A building structure comprehensive safety monitoring system according to claim 1, characterized in that: The monitoring alarm records abnormal data warnings, the device alarm records remote device monitoring, and the storage service module marks abnormal data for abnormal data warnings and stores them in a database.

8. A building structure comprehensive safety monitoring system according to claim 6, characterized in that: The protocol log is used to record the communication activities between different device entities, and the user information is used to define the permissions and roles of various types of users in the system, including platform SMS and message management.

9. A building structure comprehensive safety monitoring system according to claim 1, characterized in that: The power module includes a large-capacity lithium-ion battery and a PET solar panel.

10. A building structure comprehensive safety monitoring system according to claim 1, characterized in that: The terminal monitoring platform can be a mobile phone, an Internet computer or a tablet.

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