Building construction site safety monitoring management system and method

Abstract

The invention discloses a building construction site safety monitoring management system and method, and relates to the technical field of building construction, the method adopts a calculation model of a multi-source vibration comprehensive influence index (MVTI), a foundation pit stress distribution value (GSF) and a foundation pit stability coefficient (GSC), and multidimensional data is extracted through an embedded database for real-time analysis. The influence of different vibration sources on the stability of the foundation pit can be comprehensively evaluated based on dynamic calculation of a multi-source vibration comprehensive influence index MVTI; meanwhile, the stress distribution of vibration to a foundation soil body is refined through the foundation pit stress distribution value GSF; the foundation pit stability coefficient GSC serves as a core index and is used for comprehensively analyzing the stability state of the foundation pit. When a foundation pit stability coefficient GSC value is lower than a safety threshold value, the system generates first early warning information, calculates a monitoring point risk value RIM in combination with a multi-source vibration comprehensive influence index MVTI, and locates an abnormal area through the monitoring point risk value RIM.

Description

Technical Field

[0001] The present invention relates to the technical field of building construction, and in particular to a building construction site safety monitoring management system and method. Background Art

[0002] The construction field is an important part of modern urbanization construction. Among them, foundation pit construction, as a key link in deep foundation pit support and underground engineering construction, occupies an important position in construction projects. Deep foundation pit construction usually involves excavation and support of foundation soil, which is one of the key points of engineering safety management. In actual construction, the stability of the foundation is affected by many factors, such as vibration caused by construction equipment, vibration sources in the surrounding environment, and the characteristics of the soil itself. The complexity of these factors makes real-time safety monitoring of foundation pit construction sites necessary, especially under the superposition of multi-source vibration, dynamic evaluation of foundation stability is particularly important.

[0003] At present, the current safety monitoring methods for foundation pit construction sites are often based on static assessments, such as obtaining the bearing capacity of the foundation through geotechnical tests and formulating construction plans. However, this method lacks dynamic monitoring capabilities and is not easy to reflect the impact of vibration on the foundation in real time. In addition, conventional vibration monitoring equipment mostly uses a single vibration source as the analysis object and cannot fully analyze the combined impact of multi-source vibration. For example, when the environmental background vibration is superimposed on the vibration of construction machinery, it may cause changes in the stress concentration area of ​​the foundation. This phenomenon is difficult to be discovered in time under traditional monitoring methods and is likely to pose a safety hazard to construction. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a construction site safety monitoring management system and method, which solves the problems mentioned in the background technology.

[0005] To achieve the above objectives, the present invention is implemented by the following technical scheme: comprising the following steps:

[0006] S1. Several monitoring points are set up at the foundation pit construction site, sensor groups are installed in the monitoring points, and environmental compensation points are set up around the construction site to collect vibration data of the foundation pit construction site in real time, and a construction platform is built with the sensor group and environmental compensation points to remotely connect and transmit the vibration data to the construction platform;

[0007] S2, receiving vibration data in real time on the construction platform, and preprocessing the vibration data to obtain a vibration impact data set, and at the same time building an embedded database, and storing the vibration impact data set in the embedded database;

[0008] S3, extracting the vibration impact data set, calculating and outputting the multi-source vibration comprehensive impact index MVTI, and calculating the foundation pit stress distribution value GSF of the foundation pit based on the multi-source vibration comprehensive impact index MVTI, and then comprehensively calculating the multi-source vibration comprehensive impact index MVTI and the foundation pit stress distribution value GSF to obtain the foundation pit stability coefficient GSC;

[0009] S4, based on the output result of the foundation pit stability coefficient GSC, a preliminary assessment is performed. If the preliminary assessment shows that the foundation pit stability is abnormal, an early warning message is generated. At the same time, the multi-source vibration comprehensive impact index MVTI is combined to calculate and output the risk value RIM of the monitoring point, and analyze the abnormal monitoring point;

[0010] S5. By presetting the risk threshold R1, a secondary assessment is performed based on the acquired risk value RIM of the monitoring point, and the risk level of the monitoring point is divided based on the secondary assessment result. At the same time, a visualization interface is constructed, and different color RGB values ​​are displayed on the visualization interface based on the divided risk level.

[0011] Preferably, said S1 includes S11 and S12;

[0012] S11, by laying out a number of monitoring points at the foundation pit construction site, the monitoring points are arranged and installed at a distance of 10 meters × 10 meters, generating a grid-type monitoring point, and installing a sensor group at each monitoring point to collect real-time on-site vibration data of the vibration source during the foundation pit construction process;

[0013] At the same time, environmental compensation points are set up outside the foundation pit construction site to collect real-time off-site vibration data of the foundation pit construction site and the vibration source, and the on-site vibration data and the off-site vibration data are integrated to obtain vibration data;

[0014] The vibration data includes acceleration component a, construction site vibration signal, natural acceleration component a z and foundation pit stress signals;

[0015] The sensor group includes a triaxial vibration acceleration sensor, a vibration sensor and a ground stress sensor;

[0016] The triaxial vibration acceleration sensor is installed in the foundation pit construction site and near the construction equipment, covering the foundation pit construction site, and installing a vibration sensor in each grid;

[0017] The ground stress sensor is installed by embedding at the bottom and side wall of the foundation pit;

[0018] The environmental compensation point is to arrange a number of triaxial vibration acceleration sensors outside the construction site to collect the natural acceleration component a of the natural background. z ;

[0019] S12. Build a construction platform and install communication modules on the sensor group and environmental compensation points. Remotely connect the construction platform with the communication modules installed on the sensor group and environmental compensation points by setting up a 5G communication network, and transmit the vibration data collected in real time to the construction platform.

[0020] Preferably, S2 includes S21 and S22;

[0021] S21, receiving the vibration data in real time on the construction platform, and marking the vibration data collected by the sensor in the same monitoring point with the same ID code, and then preprocessing the vibration data to obtain a standardized data set, wherein the preprocessing method includes denoising and normalization, and then calculating and processing the standardized data set to obtain a vibration impact data set;

[0022] The vibration impact data set includes vibration intensity VI, vibration frequency VF, ground stress GS and environmental interference compensation coefficient EC;

[0023] The vibration intensity VI is obtained by accumulating the square of the acceleration component a and taking the root mean square value. The specific algorithm formula is: In the formula, n represents the number of acceleration components a collected in the time series, and ai represents the acceleration of the i-th vibration source;

[0024] The vibration frequency VF is obtained by using a vibration sensor to collect the vibration signal of the construction site, converting it into a frequency domain signal through an FFT algorithm, and extracting the frequency corresponding to the amplitude from the frequency domain signal as the main frequency component;

[0025] The ground stress GS is obtained by denoising and normalizing the foundation pit stress signal collected by the ground stress sensor, and extracting the mean stress signal

[0026] The environmental disturbance compensation coefficient EC is obtained by collecting the natural acceleration component a z The natural background vibration intensity VItotal is calculated through the vibration intensity VI algorithm formula, and then compared with the vibration intensity VI in the construction site. The specific algorithm formula is:

[0027] S22, constructing an embedded database in the construction platform, and setting a plurality of data storage tables for the embedded database, wherein the data storage table corresponds to an ID code, and storing the vibration impact data set in the data storage table corresponding to the embedded database according to the ID code.

[0028] Preferably, said S3 includes S31, S32 and S33;

[0029] S31, extracting the vibration impact data set with the same ID code in the embedded database, performing comprehensive calculation to output the multi-source vibration comprehensive impact index MVTI, and comprehensively analyzing the impact of vibration sources in different grid monitoring on the foundation pit;

[0030]

[0031] In the formula, m represents the total number of vibration sources, w i represents the weight of the ith vibration source, VI i represents the vibration intensity of the ith vibration source, VF i represents the vibration frequency of the i-th vibration source, and γ represents the attenuation coefficient of the influence of the vibration frequency on the vibration.

[0032] Preferably, S32, based on the comprehensive impact index MVTI combined with the ground stress GS, calculate and output the foundation pit stress distribution value GSF, and the dynamic distribution of vibration on foundation stress;

[0033] The foundation pit stress distribution value GSF is calculated and output by the following algorithm formula:

[0034] GSF=GS+κ·MVTI·(1-δ·d 2 );

[0035] Where κ represents the influence factor of the ground stress change caused by vibration, d represents the distance from the vibration source to the ground stress measuring point, and δ represents the vibration attenuation factor.

[0036] Preferably, S33, based on the multi-source vibration comprehensive influence index MVTI and the foundation pit stress distribution value GSF, a comprehensive calculation is performed to output the foundation pit stability coefficient GSC;

[0037] The foundation pit stability coefficient GSC is calculated and output by the following algorithm formula:

[0038]

[0039] In the formula, GS threshold represents the safety threshold of foundation bearing capacity, and η represents the weighted influence factor of vibration on foundation stress.

[0040] Preferably, said S4 includes S41 and S42;

[0041] S41, based on the output result of the foundation pit stability coefficient GSC, a preliminary evaluation is performed, and warning information is generated based on the preliminary evaluation result to analyze the stability of the foundation pit under the influence of external vibration force. The specific evaluation contents are as follows;

[0042] When the foundation pit stability coefficient GSC ≥ 1, it means that the current foundation pit stability is normal, and construction can continue as planned without intervention;

[0043] When the foundation pit stability coefficient GSC is less than 1, it indicates that the current foundation pit stability is abnormal, and the first warning information is generated at this time.

[0044] Preferably, S42, when the foundation pit stability is preliminarily assessed to be abnormal, the risk value RIM of the monitoring point is calculated and output according to the multi-source vibration comprehensive impact index MVTI of the grid monitoring point, so as to trace the abnormal vibration conditions at different locations of the foundation pit construction site;

[0045] The monitoring point risk value RIM is calculated and output by the following algorithm formula;

[0046]

[0047] Where R represents the vibration propagation radius, ρ0 represents the initial soil density near the vibration source, γ represents the soil density attenuation coefficient, β represents the spatial attenuation factor of vibration energy propagation, z represents the depth, λ represents the vibration attenuation factor with depth z, and Dd represents the integral variable of the distance from the vibration source to the ground stress measuring point.

[0048] Preferably, said S5 includes S51 and S52;

[0049] S51, setting a risk threshold R1 based on the upper limit of the vibration bearing capacity of the foundation pit soil, and then performing a secondary evaluation on the risk value RIM of the monitoring point and the risk threshold R1, analyzing the foundation pit risk of the current monitoring point, and performing a grade classification. The specific evaluation contents are as follows;

[0050] When the risk value RIM of the monitoring point is ≥ twice the risk threshold R1, the current monitoring point is marked as a first-level risk area;

[0051] When the risk value RIM of the monitoring point is greater than the risk threshold R1, the current monitoring point is marked as a secondary risk area;

[0052] When the risk value RIM of the monitoring point is less than or equal to the risk threshold R1, the current monitoring point is marked as a level 3 risk area;

[0053] Among them, the first-level risk area> the second-level risk area> the third-level risk area.

[0054] S52. A visualization interface is constructed in the construction platform through front-end technology and back-end technology, and a plan of the foundation pit construction site is drawn through CAD software, and the grid monitoring points are embedded in the plan of the foundation pit construction site to generate a visualization grid map of the foundation pit. At the same time, a prompt bar is constructed for the visualization interface through the front-end technology. When the first warning information is generated through preliminary evaluation, it is prompted in the prompt bar that there is an abnormality in the foundation pit in the current monitoring point area, and corresponding maintenance is collected for the current foundation pit area;

[0055] After the second evaluation, the relevant color RGB values ​​are generated on the foundation pit visualization grid map based on the divided levels;

[0056] The specific generated content is as follows;

[0057] When the current monitoring point is divided into the first-level risk area, the color RGB value of the current monitoring point is automatically updated to RGB (255, 0, 0) on the foundation pit visualization grid map;

[0058] When the current monitoring point is divided into the secondary risk area, the color RGB value of the current monitoring point is automatically updated to RGB (0, 255, 0) on the foundation pit visualization grid map;

[0059] When the current monitoring point is divided into a first-level risk area, the color RGB value of the current monitoring point is automatically updated to RGB (0,0,255) on the foundation pit visualization grid map.

[0060] A construction site safety monitoring and management system, comprising a multi-point acquisition module, a data processing module, a foundation pit stability analysis module, a monitoring point abnormality analysis module and a visual thermal distribution module;

[0061] The multi-point acquisition module collects vibration data of the foundation pit construction site in real time by setting up several monitoring points at the foundation pit construction site, installing sensor groups in the monitoring points, and setting up environmental compensation points around the construction site, and constructing a construction platform with the sensor group and environmental compensation points to remotely connect and transmit the vibration data to the construction platform;

[0062] The data processing module receives vibration data in real time on the construction platform, pre-processes the vibration data, obtains a vibration impact data set, and constructs an embedded database, and stores the vibration impact data set in the embedded database;

[0063] The foundation pit stability analysis module extracts the vibration impact data set, calculates and outputs a multi-source vibration comprehensive impact index MVTI, calculates a foundation pit stress distribution value GSF of the foundation pit based on the multi-source vibration comprehensive impact index MVTI, and then comprehensively calculates the multi-source vibration comprehensive impact index MVTI and the foundation pit stress distribution value GSF to obtain a foundation pit stability coefficient GSC;

[0064] The monitoring point abnormality analysis module performs a preliminary assessment based on the output result of the foundation pit stability coefficient GSC. If the preliminary assessment shows that the foundation pit stability is abnormal, an early warning message is generated. At the same time, the multi-source vibration comprehensive impact index MVTI is combined to calculate and output the monitoring point risk value RIM to analyze the abnormal monitoring point;

[0065] The visualized thermal distribution module performs a secondary assessment based on the preset risk threshold R1 and the acquired monitoring point risk value RIM, divides the risk levels of the monitoring points based on the secondary assessment results, and constructs a visualization interface at the same time, and displays different color RGB values ​​on the visualization interface based on the divided risk levels.

[0066] The present invention provides a construction site safety monitoring management system and method. It has the following beneficial effects:

[0067] (1) This method can collect vibration data inside and outside the construction site in real time by setting up grid monitoring points and installing a variety of sensors at the foundation pit construction site, as well as arranging environmental compensation points outside the site. The sensor group accurately covers the construction area, and transmits the vibration signal and environmental compensation signal on the site to the construction platform through the 5G communication network, and performs real-time integration processing. Combining denoising and normalization technology, a vibration impact data set is constructed. This data collection and integration method ensures that the vibration data at each time point in the construction process has high accuracy and low interference, laying a solid data foundation for subsequent dynamic analysis, and greatly improving the real-time and reliability of the monitoring system.

[0068] (2) This method uses the calculation model of the multi-source vibration comprehensive impact index MVTI, the foundation pit stress distribution value GSF and the foundation pit stability coefficient GSC, and extracts multi-dimensional data through the embedded database for real-time analysis. The dynamic calculation based on the multi-source vibration comprehensive impact index MVTI can comprehensively evaluate the impact of different vibration sources on the stability of the foundation pit; the foundation pit stress distribution value GSF refines the stress distribution of vibration on the foundation soil; the foundation pit stability coefficient GSC is used as a core indicator to comprehensively analyze the stability state of the foundation pit. When the foundation pit stability coefficient GSC value is lower than the safety threshold, the system will generate the first warning information, and calculate the monitoring point risk value RIM in combination with the multi-source vibration comprehensive impact index MVTI, and locate the abnormal area through the monitoring point risk value RIM. This multi-stage evaluation mechanism can not only identify potential high-risk areas, but also provide real-time feedback on the dynamic impact of construction equipment and vibration sources, improve the accuracy and response speed of the warning, and avoid the instability of the foundation pit caused by the accumulation of vibration impact.

[0069] (3) After completing the vibration risk assessment, the construction platform divides the different areas of the foundation pit into secondary risk levels based on the risk value RIM of the monitoring point and the preset risk threshold R1, and generates a visualization grid map of the foundation pit by combining the front-end visualization technology with the CAD plan. The system dynamically updates the risk level of each monitoring point and displays it using RGB color coding: the red first-level risk area indicates a high-risk area, prompting immediate stop of construction and grouting or wall pile reinforcement; the green second-level risk area indicates a critical risk area, and it is recommended to stop construction equipment and implement foundation pit maintenance; the blue third-level risk area indicates a potential risk area, and it is recommended to reduce equipment use and optimize the construction rhythm. This visual heat map display not only improves the efficiency of construction management, but also effectively guides on-site personnel to make quick decisions under high-risk conditions, ensuring the safe and orderly progress of the construction process, while reducing the economic losses caused by uncontrolled risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] Figure 1 A schematic diagram of the steps of a construction site safety monitoring and management method of the present invention;

[0071] Figure 2 The present invention is a flow chart of a construction site safety monitoring and management system. DETAILED DESCRIPTION

[0072] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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.

[0073] Example 1

[0074] See also Figure 1 The present invention provides a construction site safety monitoring and management method. To achieve the above purpose, the present invention is implemented through the following technical scheme: comprising the following steps:

[0075] S1. Set up several monitoring points at the foundation pit construction site, install sensor groups at the monitoring points, and set up environmental compensation points around the construction site to collect vibration data at the foundation pit construction site in real time. Build a construction platform with the sensor group and environmental compensation points to remotely connect and transmit the vibration data to the construction platform.

[0076] S2, receiving vibration data in real time on the construction platform, preprocessing the vibration data, obtaining a vibration impact data set, and building an embedded database, storing the vibration impact data set in the embedded database;

[0077] S3, extract the vibration impact data set, calculate and output the multi-source vibration comprehensive impact index MVTI, and calculate the foundation pit stress distribution value GSF of the foundation pit based on the multi-source vibration comprehensive impact index MVTI, and then comprehensively calculate the multi-source vibration comprehensive impact index MVTI and the foundation pit stress distribution value GSF to obtain the foundation pit stability coefficient GSC;

[0078] S4. Perform a preliminary assessment based on the output results of the foundation pit stability coefficient GSC. If the preliminary assessment shows that the foundation pit stability is abnormal, generate warning information. At the same time, combine the multi-source vibration comprehensive impact index MVTI to calculate and output the monitoring point risk value RIM, and analyze the abnormal monitoring points;

[0079] S5. By presetting the risk threshold R1, a secondary assessment is performed based on the acquired risk value RIM of the monitoring point, and the risk level of the monitoring point is divided based on the secondary assessment result. At the same time, a visualization interface is constructed, and different color RGB values ​​are displayed on the visualization interface based on the divided risk level.

[0080] In this embodiment, the method starts from the monitoring points and environmental compensation points arranged on site, based on the real-time collection of the sensor group, comprehensively covers the vibration data inside and outside the site, and transmits the data to the construction platform in real time through 5G communication technology. In the construction platform, the vibration data is preprocessed and standardized to generate a vibration impact data set, and structured storage is achieved through an embedded database. This systematic data processing method ensures high-quality data input and avoids monitoring errors caused by noise and data loss in traditional methods. By extracting the vibration impact data set, the multi-source vibration comprehensive impact index MVTI, the foundation pit stress distribution value GSF and the foundation pit stability coefficient GSC are calculated to dynamically reflect the comprehensive impact of vibration on the foundation pit and the real-time stability state of the foundation. When the foundation pit stability coefficient GSC is abnormal, the system automatically generates early warning information, and at the same time locates the high-risk area through further calculation of the monitoring point risk value RIM. On this basis, the secondary risk assessment is completed by comparing the monitoring point risk value RIM with the preset risk threshold R1, forming a refined risk level division, and intuitively displayed in the visual interface of the construction platform in the form of a heat map. RGB codes of different colors are used to mark the risk area level, and from high to low, they prompt on-site personnel to take measures such as emergency reinforcement, equipment stoppage, or optimization of construction rhythm. The implementation of this method not only realizes the all-round monitoring and dynamic evaluation of the vibration impact on the foundation pit construction site, but also greatly improves the safety management level and decision-making efficiency of the construction site through intelligent early warning and risk visualization. Its beneficial effects are reflected in many aspects: first, accurate identification of high-risk areas and effective avoidance of construction accidents; second, by optimizing the construction rhythm, the continuous impact of equipment operation on the foundation is reduced; third, the risk management results are clearly presented through a visual interface, shortening the response time from data analysis to decision execution. The overall effect significantly improves the construction safety, controllability and construction efficiency in complex vibration environments, providing reliable technical guarantees for high-risk foundation pit projects.

[0081] Example 2

[0082] This embodiment is explained in Example 1, please refer to Figure 1 , specifically: S1 includes S11 and S12;

[0083] S11, by laying out a number of monitoring points at the foundation pit construction site, the monitoring points are arranged and installed at a distance of 10 meters × 10 meters, generating a grid-type monitoring point, and installing a sensor group in each monitoring point to collect real-time on-site vibration data of the vibration source during the foundation pit construction process;

[0084] At the same time, environmental compensation points are set up outside the foundation pit construction site to collect real-time off-site vibration data of the foundation pit construction site and vibration sources, and the on-site vibration data and off-site vibration data are integrated to obtain vibration data;

[0085] Vibration data includes acceleration component a, construction site vibration signal, natural acceleration component a z and foundation pit stress signals;

[0086] The sensor group includes a triaxial vibration acceleration sensor, a vibration sensor and a ground stress sensor;

[0087] The triaxial vibration acceleration sensor is installed in the foundation pit construction site and near the construction equipment, covering the foundation pit construction site, and installing a vibration sensor in each grid;

[0088] The ground stress sensor is installed by embedding at the bottom and side wall of the foundation pit;

[0089] Environmental compensation points are set up at the outside of the construction site to collect the natural acceleration component a of the natural background. z ;

[0090] S12. Build a construction platform and install communication modules on the sensor group and environmental compensation points. Remotely connect the construction platform with the communication modules installed on the sensor group and environmental compensation points by setting up a 5G communication network, and transmit the vibration data collected in real time to the construction platform.

[0091] In this embodiment, the method ensures the comprehensive collection and effective integration of vibration data by reasonably arranging grid monitoring points and environmental compensation points at the foundation pit construction site. The monitoring points are arranged at a grid spacing of 10 meters × 10 meters, and a sensor group is installed at each monitoring point to cover the core position of the foundation pit construction area. At the same time, ground stress sensors are buried at the bottom and side walls of the foundation pit to accurately capture the vibration effects near the construction equipment and inside the soil. In addition, the environmental compensation points are set outside the construction site to collect the natural acceleration component a z , effectively eliminating the natural vibration interference of the background environment, making the vibration data purer. Finally, the on-site vibration data and off-site environmental compensation data are integrated into a complete vibration data set, providing basic data for subsequent dynamic analysis. By building a construction platform and installing a communication module, relying on the 5G communication network, the real-time data collected by the sensor group and environmental compensation points are transmitted to the construction platform, realizing remote and efficient data transmission. The centralized management of the platform has greatly improved the efficiency of data collection and processing, and provided technical support for subsequent vibration analysis, risk assessment and dynamic display.

[0092] Example 3

[0093] This embodiment is explained in Example 2. Please refer to Figure 1 , specifically: S2 includes S21 and S22;

[0094] S21, receiving vibration data in real time on the construction platform, and marking the vibration data collected by the sensor in the same monitoring point with the same ID code, and then preprocessing the vibration data to obtain a standardized data set, the preprocessing method includes denoising and normalization, and then calculating and processing the standardized data set to obtain a vibration impact data set;

[0095] The vibration impact data set includes vibration intensity VI, vibration frequency VF, ground stress GS and environmental disturbance compensation coefficient EC;

[0096] The vibration intensity VI obtains the RMS value by accumulating the square of the acceleration component a. The specific algorithm formula is: In the formula, n represents the number of acceleration components a collected in the time series, ai represents the acceleration of the i-th vibration source, that is, the acceleration component collected by the i-th sensor;

[0097] The vibration frequency VF is obtained by using a vibration sensor to collect the vibration signal of the construction site, converting it into a frequency domain signal through the FFT algorithm, and extracting the frequency corresponding to the amplitude from the frequency domain signal as the main frequency component;

[0098] The ground stress GS is obtained by denoising and normalizing the foundation pit stress signal collected by the ground stress sensor, and extracting the mean stress signal

[0099] The environmental disturbance compensation coefficient EC is obtained by collecting the natural acceleration component a z The natural background vibration intensity VItotal is calculated through the vibration intensity VI algorithm formula, and then compared with the vibration intensity VI in the construction site. The specific algorithm formula is:

[0100] S22, constructing an embedded database in the construction platform, and setting a plurality of data storage tables for the embedded database, wherein the data storage table corresponds to an ID code, and storing the vibration impact data set in the data storage table corresponding to the embedded database according to the ID code.

[0101] In this embodiment, the method marks the data collected by multiple sensors in the same monitoring point with the same ID code, which is convenient for subsequent data association and analysis; then the vibration data is preprocessed, including denoising and normalization, to eliminate data interference and improve the calculation efficiency of the data. Through this process, a vibration impact data set is successfully constructed. The vibration intensity VI is calculated by the root mean square value of the acceleration component, the vibration frequency VF is extracted by the FFT algorithm to extract the main frequency component, the ground stress GS is based on the denoising and mean processing of the sensor signal, and the environmental interference compensation coefficient EC is calculated by comparing the natural background vibration with the field vibration. Then, an embedded database is constructed in the construction platform, and a corresponding data storage table is established according to the ID code of the data source, so as to realize the efficient storage and management of the data set. Each data storage table corresponds to all the vibration impact data of a monitoring point, forming a structured data resource library. This database design not only supports real-time data update, but also provides a reliable data basis for subsequent analysis and evaluation. Through the above implementation method, the purpose of standardized processing and efficient storage management of vibration data is achieved, and the accuracy, traceability and analysis efficiency of construction monitoring data are significantly improved. The beneficial effects are reflected in three aspects: first, data preprocessing improves the purity and information quality of vibration signals, laying a solid foundation for subsequent evaluation; second, the introduction of embedded database realizes modular storage and rapid retrieval of data, enhancing the operating efficiency of the system; third, the construction of multi-dimensional vibration impact data provides comprehensive basic support for risk assessment and dynamic monitoring of construction sites.

[0102] Example 4

[0103] This embodiment is explained in Example 3, please refer to Figure 1 , specifically: S3 includes S31, S32 and S33;

[0104] S31, extracting the vibration impact data set with the same ID code in the embedded database, performing comprehensive calculation to output the multi-source vibration comprehensive impact index MVTI, and comprehensively analyzing the impact of vibration sources in different grid monitoring on the foundation pit;

[0105]

[0106] In the formula, m represents the total number of vibration sources, w i represents the weight of the ith vibration source, VI i represents the vibration intensity of the ith vibration source, VF i represents the vibration frequency of the i-th vibration source, and γ represents the attenuation coefficient of the influence of the vibration frequency on the vibration.

[0107] S32. Based on the comprehensive impact index MVTI and the ground stress GS, calculate and output the foundation pit stress distribution value GSF, and the dynamic distribution of vibration on the foundation stress;

[0108] The foundation pit stress distribution value GSF is calculated and output by the following algorithm formula;

[0109] GSF=GS baseline +κ·MVTI·(1-δ·d 2 );

[0110] Where, represents the natural stress state of the foundation soil before construction, κ represents the influencing factor of the ground stress change caused by vibration, d represents the distance from the vibration source to the ground stress measuring point, which is obtained by calculating the grid distance, and δ represents the vibration attenuation factor.

[0111] S33, based on the multi-source vibration comprehensive impact index MVTI and the foundation pit stress distribution value GSF, a comprehensive calculation is performed to output the foundation pit stability coefficient GSC, and a comprehensive analysis is made of the ground stress state, vibration impact and bearing capacity of the foundation at the current foundation pit construction site;

[0112] The foundation pit stability coefficient GSC is calculated and output by the following algorithm formula;

[0113]

[0114] In the formula, GS threshold It represents the safety threshold of foundation bearing capacity, which is determined by standard geotechnical tests. η represents the weighted influence factor of vibration on foundation stress.

[0115] In this embodiment, the method realizes the comprehensive calculation and in-depth analysis of multi-source data by using an embedded database to extract the vibration impact data set marked with the same ID code in the same monitoring point. First, the multi-source vibration comprehensive impact index MVTI is calculated by a formula to quantitatively evaluate the impact of different vibration sources on the foundation pit. Then, based on the multi-source vibration comprehensive impact index MVTI and the ground stress GS, the foundation pit stress distribution value GSF is calculated to dynamically reflect the stress effect of vibration on the foundation soil and its distribution law. Finally, the foundation pit stability coefficient GSC is comprehensively calculated by combining the multi-source vibration comprehensive impact index MVTI and the foundation pit stress distribution value GSF. The overall stability of the foundation pit is quantitatively analyzed through the foundation pit stability coefficient GSC, and the bearing capacity of the current foundation and the comprehensive impact of vibration on ground stress are evaluated. Through the above steps, the purpose of multi-dimensional dynamic analysis of the vibration impact on the foundation pit construction site and comprehensive stability evaluation is achieved. Its beneficial effects are mainly reflected in: First, the introduction of the multi-source vibration comprehensive influence index MVTI realizes the quantitative analysis of the comprehensive influence of multiple vibration sources and improves the accuracy of vibration assessment; second, the calculation of the foundation pit stress distribution value GSF refines the stress distribution inside the foundation pit and provides data support for the accurate identification of stress concentration areas; third, the output of the foundation pit stability coefficient GSC provides a reliable basis for the comprehensive assessment of the foundation pit stability and provides scientific guidance for risk warning and construction optimization.

[0116] Example 5

[0117] This embodiment is explained in Example 4. Please refer to Figure 1 , specifically: S4 includes S41 and S42;

[0118] S41. Based on the output result of the foundation pit stability coefficient GSC, a preliminary assessment is conducted, and warning information is generated based on the preliminary assessment result to analyze the stability of the foundation pit under the influence of external vibration forces. The specific assessment contents are as follows;

[0119] When the foundation pit stability coefficient GSC ≥ 1, it means that the current foundation pit stability is normal and can withstand the impact of current vibration and construction activities. At this time, construction can continue as planned without intervention;

[0120] When the foundation pit stability coefficient GSC is less than 1, it indicates that the current foundation pit stability is abnormal, and the first warning information is generated at this time.

[0121] S42. When the foundation pit stability is abnormal after preliminary assessment, the risk value RIM of the monitoring point is calculated and output according to the multi-source vibration comprehensive impact index MVTI of the grid monitoring point, so as to trace the abnormal vibration conditions at different locations of the foundation pit construction site;

[0122] The risk value RIM of the monitoring point is calculated and output by the following algorithm formula;

[0123]

[0124] Where R represents the vibration propagation radius, ρ0 represents the initial soil density near the vibration source, γ represents the soil density attenuation coefficient, β represents the spatial attenuation factor of vibration energy propagation, z represents the depth, which represents the depth of the target point and reflects the propagation characteristics of vibration energy in the vertical direction, λ represents the attenuation factor of vibration with depth z, and Dd represents the integral variable of the distance from the vibration source to the ground stress measuring point.

[0125] In this embodiment, the method evaluates the overall stability of the foundation pit through the output results based on the foundation pit stability coefficient GSC: when the foundation pit stability coefficient GSC ≥ 1, it means that the current foundation pit can withstand vibration and construction impact, and the construction can continue as planned; when the foundation pit stability coefficient GSC < 1, the system identifies the abnormality of the foundation pit stability and generates the first warning information, prompting the construction personnel to immediately pay attention to the potential risk area. Subsequently, based on the abnormality of the foundation pit stability coefficient GSC, the multi-source vibration comprehensive impact index MVTI of the monitoring point is used to further calculate the risk value RIM of the monitoring point, and the location and impact range of the vibration abnormality are clarified through traceability analysis, providing a scientific basis for accurately locating high-risk areas. Through this implementation method, the purpose of real-time identification of foundation pit anomalies and accurate tracing of risk locations is achieved. Its beneficial effects are mainly reflected in the following aspects: First, the GSC-based assessment provides a dynamic safety judgment for construction activities, avoiding the accumulation of potential instability risks; second, through the RIM traceability analysis, the abnormal area and its risk level can be intuitively located, providing construction personnel with clear intervention guidance; third, the distribution characteristics of vibration influences are refined and quantified, helping the construction party to optimize the vibration source layout and construction plan, and reduce the vibration load in high-risk areas.

[0126] Example 6

[0127] This embodiment is explained in Example 5. Please refer to Figure 1 , specifically: S5 includes S51 and S52;

[0128] S51, setting a risk threshold R1 based on the upper limit of the vibration bearing capacity of the foundation pit soil, and then performing a secondary evaluation on the risk value RIM of the monitoring point and the risk threshold R1, analyzing the foundation pit risk of the current monitoring point, and performing a grade classification. The specific evaluation contents are as follows;

[0129] When the risk value RIM of the monitoring point is ≥ twice the risk threshold R1, the current monitoring point is marked as a first-level risk area;

[0130] When the risk value RIM of the monitoring point is greater than the risk threshold R1, the current monitoring point is marked as a secondary risk area;

[0131] When the risk value RIM of the monitoring point is less than or equal to the risk threshold R1, the current monitoring point is marked as a level 3 risk area;

[0132] Among them, the first-level risk area> the second-level risk area> the third-level risk area.

[0133] S52. A visualization interface is constructed in the construction platform through front-end technology and back-end technology, and a plan of the foundation pit construction site is drawn through CAD software, and the grid monitoring points are embedded in the plan of the foundation pit construction site to generate a visualization grid map of the foundation pit. At the same time, a prompt bar is constructed for the visualization interface through the front-end technology. When the first warning information is generated through preliminary evaluation, it is prompted in the prompt bar that there is an abnormality in the foundation pit in the current monitoring point area, and corresponding maintenance is collected for the current foundation pit area;

[0134] After the second evaluation, the relevant color RGB values ​​are generated on the foundation pit visualization grid map based on the divided levels;

[0135] The specific generated content is as follows;

[0136] When the current monitoring point is divided into the first-level risk area, the color RGB value of the current monitoring point is automatically updated to red RGB (255, 0, 0) on the foundation pit visualization grid map;

[0137] When the current monitoring point is divided into the secondary risk area, the color RGB value of the current monitoring point is automatically updated to green RGB (0, 255, 0) on the foundation pit visualization grid map;

[0138] When the current monitoring point is divided into the first-level risk area, the color RGB value of the current monitoring point is automatically updated to blue RGB (0,0,255) on the foundation pit visualization grid map;

[0139] Among them, red RGB (255,0,0) indicates a high-risk area, where there is a risk of foundation pit collapse. At this time, the relevant staff is prompted to stop the construction equipment in the current monitoring point area and evacuate immediately, and at the same time, grouting or retaining wall pile construction is immediately carried out on the current foundation pit;

[0140] Green RGB (0,255,0) indicates a medium-risk area. There is a critical risk in the foundation pit. At this time, the relevant staff is prompted to stop the construction equipment in the current monitoring point area and immediately maintain the foundation pit in the current monitoring point area;

[0141] Blue RGB (0,0,255) indicates a low-risk area where there is a potential risk in the foundation pit. At this time, the relevant staff are prompted to reduce the number of construction equipment in the current area and adopt alternating construction to optimize the multi-source vibration comprehensive impact index MVTI in the current area.

[0142] In this embodiment, the method realizes the secondary assessment and hierarchical management of the risk value RIM of the monitoring point by setting the risk threshold R1R1R1 based on the upper limit of the vibration bearing capacity of the foundation pit soil. The risk level of the monitoring point is divided into three levels: when the risk value RIM of the monitoring point is ≥ twice the risk threshold R1, it is marked as a first-level risk area, red, indicating the risk of collapse and immediately stopping construction; when the risk value RIM of the monitoring point is greater than the risk threshold R1, it is marked as a second-level risk area, green, indicating critical risk and implementing maintenance; when the risk value RIM of the monitoring point is ≤ the risk threshold R1, it is marked as a third-level risk area, blue, indicating potential risks and optimizing the construction rhythm. This multi-level risk division method effectively refines the risk control of different areas through scientific threshold setting. In terms of visualization, the construction platform is combined with CAD software to draw a plan of the construction site, and a visualization grid map of the foundation pit embedded in the grid is generated. The construction platform dynamically displays the risk level of each monitoring point through the linkage of front-end and back-end technologies, and updates it in real time with RGB color coding: red indicates that high-risk areas need urgent reinforcement; green indicates that medium-risk areas need to stop construction and carry out maintenance; blue indicates that low-risk areas need to reduce equipment use and optimize vibration intensity. The visualization interface also integrates a prompt bar function. When the first warning information is generated, the platform will automatically prompt the specific abnormal area to assist construction personnel to respond quickly. Through the above implementation methods, the purpose of accurately assessing the risk level of the foundation pit and intuitively displaying the risk area in real time is achieved. Its beneficial effects are mainly reflected in the following aspects: First, through scientific hierarchical management, targeted intervention measures are taken for high, medium and low risk areas, which improves the efficiency and accuracy of risk control; second, through visualization technology, complex monitoring data is presented in the form of intuitive heat maps, shortening the time from data analysis to on-site response; third, through dynamic prompts and color coding, construction scheduling is optimized, reducing the possibility of safety accidents caused by regional risk out of control.

[0143] Example 7

[0144] See also Figure 1 and Figure 2 , a construction site safety monitoring and management system, including a multi-point acquisition module, a data processing module, a foundation pit stability analysis module, a monitoring point abnormality analysis module and a visual thermal distribution module;

[0145] The multi-point acquisition module sets up several monitoring points at the foundation pit construction site, installs sensor groups at the monitoring points, and sets up environmental compensation points around the construction site to collect vibration data at the foundation pit construction site in real time. It also builds a remote connection between the construction platform, the sensor group and the environmental compensation points to transmit the vibration data to the construction platform.

[0146] The data processing module receives vibration data in real time on the construction platform, pre-processes the vibration data, obtains the vibration impact data set, and builds an embedded database to store the vibration impact data set in the embedded database;

[0147] The foundation pit stability analysis module extracts the vibration impact data set, calculates and outputs the multi-source vibration comprehensive impact index MVTI, and calculates the foundation pit stress distribution value GSF based on the multi-source vibration comprehensive impact index MVTI. Then, the multi-source vibration comprehensive impact index MVTI and the foundation pit stress distribution value GSF are comprehensively calculated to obtain the foundation pit stability coefficient GSC.

[0148] The monitoring point abnormality analysis module performs a preliminary assessment based on the output results of the foundation pit stability coefficient GSC. If the preliminary assessment shows that the foundation pit stability is abnormal, an early warning message is generated. At the same time, combined with the multi-source vibration comprehensive impact index MVTI, the risk value RIM of the monitoring point is calculated and output, and the abnormal monitoring point is analyzed;

[0149] The visualized thermal distribution module performs a secondary assessment based on the preset risk threshold R1 and the acquired risk value RIM of the monitoring point, divides the risk level of the monitoring point based on the secondary assessment results, and constructs a visualization interface at the same time. Different color RGB values ​​are displayed on the visualization interface based on the divided risk levels.

[0150] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that many changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. A construction site safety monitoring and management method, characterized in that: The following steps are involved: S1. Several monitoring points are set up at the foundation pit construction site, sensor groups are installed in the monitoring points, and environmental compensation points are set up around the construction site to collect vibration data of the foundation pit construction site in real time, and a construction platform is built with the sensor group and environmental compensation points to remotely connect and transmit the vibration data to the construction platform; S2, receiving vibration data in real time on the construction platform, and preprocessing the vibration data to obtain a vibration impact data set, and at the same time building an embedded database, and storing the vibration impact data set in the embedded database; S3, extracting the vibration impact data set, calculating and outputting the multi-source vibration comprehensive impact index MVTI, and calculating the foundation pit stress distribution value GSF of the foundation pit based on the multi-source vibration comprehensive impact index MVTI, and then comprehensively calculating the multi-source vibration comprehensive impact index MVTI and the foundation pit stress distribution value GSF to obtain the foundation pit stability coefficient GSC; S4, based on the output result of the foundation pit stability coefficient GSC, a preliminary assessment is performed. If the preliminary assessment shows that the foundation pit stability is abnormal, an early warning message is generated. At the same time, the multi-source vibration comprehensive impact index MVTI is combined to calculate and output the risk value RIM of the monitoring point, and analyze the abnormal monitoring point; S5. By presetting the risk threshold R1, a secondary assessment is performed based on the acquired risk value RIM of the monitoring point, and the risk level of the monitoring point is divided based on the secondary assessment result. At the same time, a visualization interface is constructed, and different color RGB values ​​are displayed on the visualization interface based on the divided risk level.

2. A construction site safety monitoring and management method according to claim 1, characterized in that: Said S1 includes S11 and S12; S11, by laying out a number of monitoring points at the foundation pit construction site, the monitoring points are arranged and installed at a distance of 10 meters × 10 meters, generating a grid-type monitoring point, and installing a sensor group at each monitoring point to collect real-time on-site vibration data of the vibration source during the foundation pit construction process; At the same time, environmental compensation points are set up outside the foundation pit construction site to collect real-time off-site vibration data of the foundation pit construction site and the vibration source, and the on-site vibration data and the off-site vibration data are integrated to obtain vibration data; The vibration data includes acceleration component a, construction site vibration signal, natural acceleration component a z and foundation pit stress signals; The sensor group includes a triaxial vibration acceleration sensor, a vibration sensor and a ground stress sensor; The triaxial vibration acceleration sensor is installed in the foundation pit construction site and near the construction equipment, covering the foundation pit construction site, and installing a vibration sensor in each grid; The ground stress sensor is installed by embedding at the bottom and side wall of the foundation pit; The environmental compensation point is to arrange a number of triaxial vibration acceleration sensors outside the construction site to collect the natural acceleration component a of the natural background. z ; S12. Build a construction platform and install communication modules on the sensor group and environmental compensation points. Remotely connect the construction platform with the communication modules installed on the sensor group and environmental compensation points by setting up a 5G communication network, and transmit the vibration data collected in real time to the construction platform.

3. A construction site safety monitoring and management method according to claim 2, characterized in that: The S2 includes S21 and S22; S21, receiving the vibration data in real time on the construction platform, and marking the vibration data collected by the sensor in the same monitoring point with the same ID code, and then preprocessing the vibration data to obtain a standardized data set, wherein the preprocessing method includes denoising and normalization, and then calculating and processing the standardized data set to obtain a vibration impact data set; The vibration impact data set includes vibration intensity VI, vibration frequency VF, ground stress GS and environmental interference compensation coefficient EC; The vibration intensity VI is obtained by accumulating the square of the acceleration component a and taking the root mean square value. The specific algorithm formula is: In the formula, n represents the number of acceleration components a collected in the time series, and ai represents the acceleration of the i-th vibration source; The vibration frequency VF is obtained by using a vibration sensor to collect the vibration signal of the construction site, converting it into a frequency domain signal through an FFT algorithm, and extracting the frequency corresponding to the amplitude from the frequency domain signal as the main frequency component; The ground stress GS is obtained by denoising and normalizing the foundation pit stress signal collected by the ground stress sensor, and extracting the mean stress signal The environmental disturbance compensation coefficient EC is obtained by collecting the natural acceleration component a z Calculate and obtain the natural background vibration intensity VItotal, and then compare it with the vibration intensity VI in the construction site. The specific algorithm formula is: S22, constructing an embedded database in the construction platform, and setting a plurality of data storage tables for the embedded database, wherein the data storage table corresponds to an ID code, and storing the vibration impact data set in the data storage table corresponding to the embedded database according to the ID code.

4. A construction site safety monitoring and management method according to claim 3, characterized in that: The S3 includes S31, S32 and S33; S31, extracting the vibration impact data set with the same ID code in the embedded database, performing comprehensive calculation to output the multi-source vibration comprehensive impact index MVTI, and comprehensively analyzing the impact of vibration sources in different grid monitoring on the foundation pit; In the formula, m represents the total number of vibration sources, w i represents the weight of the ith vibration source, VI i represents the vibration intensity of the ith vibration source, VF i represents the vibration frequency of the i-th vibration source, and γ represents the attenuation coefficient of the influence of the vibration frequency on the vibration.

5. A construction site safety monitoring and management method according to claim 4, characterized in that: S32, based on the comprehensive impact index MVTI combined with the ground stress GS, calculate and output the foundation pit stress distribution value GSF, and the dynamic distribution of vibration on foundation stress; The foundation pit stress distribution value GSF is calculated and output by the following algorithm formula: GSF=GS+κ MVTI (1-δ d 2 ); Where κ represents the influence factor of the ground stress change caused by vibration, d represents the distance from the vibration source to the ground stress measuring point, and δ represents the vibration attenuation factor.

6. A construction site safety monitoring and management method according to claim 1, characterized in that: S33, based on the multi-source vibration comprehensive influence index MVTI and the foundation pit stress distribution value GSF, a comprehensive calculation is performed to output a foundation pit stability coefficient GSC; The foundation pit stability coefficient GSC is calculated and output by the following algorithm formula: In the formula, GS threshold represents the safety threshold of foundation bearing capacity, and η represents the weighted influence factor of vibration on foundation stress.

7. A construction site safety monitoring and management method according to claim 6, characterized in that: The S4 includes S41 and S42; S41, based on the output result of the foundation pit stability coefficient GSC, a preliminary evaluation is performed, and warning information is generated based on the preliminary evaluation result to analyze the stability of the foundation pit under the influence of external vibration force. The specific evaluation contents are as follows; When the foundation pit stability coefficient GSC ≥ 1, it means that the current foundation pit stability is normal, and construction can continue as planned without intervention; When the foundation pit stability coefficient GSC is less than 1, it indicates that the current foundation pit stability is abnormal, and the first warning information is generated at this time.

8. A construction site safety monitoring and management method according to claim 7, characterized in that: S42. When the foundation pit stability is abnormal after preliminary assessment, the risk value RIM of the monitoring point is calculated and output according to the multi-source vibration comprehensive impact index MVTI of the grid monitoring point, so as to trace the abnormal vibration conditions at different locations of the foundation pit construction site; The monitoring point risk value RIM is calculated and output by the following algorithm formula; Where R represents the vibration propagation radius, ρ0 represents the initial soil density near the vibration source, γ represents the soil density attenuation coefficient, β represents the spatial attenuation factor of vibration energy propagation, z represents the depth, λ represents the vibration attenuation factor with depth z, and Dd represents the integral variable of the distance from the vibration source to the ground stress measuring point.

9. A construction site safety monitoring and management method according to claim 8, characterized in that: The S5 includes S51 and S52; S51, setting a risk threshold R1 based on the upper limit of the vibration bearing capacity of the foundation pit soil, and then performing a secondary evaluation on the risk value RIM of the monitoring point and the risk threshold R1, analyzing the foundation pit risk of the current monitoring point, and performing a grade classification. The specific evaluation contents are as follows; When the risk value RIM of the monitoring point is ≥ twice the risk threshold R1, the current monitoring point is marked as a first-level risk area; When the risk value RIM of the monitoring point is greater than the risk threshold R1, the current monitoring point is marked as a secondary risk area; When the risk value RIM of the monitoring point is less than or equal to the risk threshold R1, the current monitoring point is marked as a level 3 risk area; Among them, the first-level risk area> the second-level risk area> the third-level risk area. S52. A visualization interface is constructed in the construction platform through front-end technology and back-end technology, and a plan of the foundation pit construction site is drawn through CAD software, and the grid monitoring points are embedded in the plan of the foundation pit construction site to generate a visualization grid map of the foundation pit. At the same time, a prompt bar is constructed for the visualization interface through the front-end technology. When the first warning information is generated through preliminary evaluation, the prompt bar indicates that there is an abnormality in the foundation pit in the current monitoring point area, and corresponding maintenance is collected for the current foundation pit area; After the second evaluation, the relevant color RGB values ​​are generated on the foundation pit visualization grid map based on the divided levels; The specific generated content is as follows; When the current monitoring point is divided into the first-level risk area, the color RGB value of the current monitoring point is automatically updated to RGB (255, 0, 0) on the foundation pit visualization grid map; When the current monitoring point is divided into the secondary risk area, the color RGB value of the current monitoring point is automatically updated to RGB (0, 255, 0) on the foundation pit visualization grid map; When the current monitoring point is divided into a first-level risk area, the color RGB value of the current monitoring point is automatically updated to RGB (0,0,255) on the foundation pit visualization grid map.

10. A construction site safety monitoring and management system, applied to a construction site safety monitoring and management method according to any one of claims 1 to 9, characterized in that: It includes multi-point acquisition module, data processing module, foundation pit stability analysis module, monitoring point abnormality analysis module and visual thermal distribution module; The multi-point acquisition module collects vibration data of the foundation pit construction site in real time by setting up several monitoring points at the foundation pit construction site, installing sensor groups in the monitoring points, and setting up environmental compensation points around the construction site, and constructing a construction platform with the sensor group and environmental compensation points to remotely connect and transmit the vibration data to the construction platform; The data processing module receives vibration data in real time on the construction platform, pre-processes the vibration data, obtains a vibration impact data set, and constructs an embedded database, and stores the vibration impact data set in the embedded database; The foundation pit stability analysis module extracts the vibration impact data set, calculates and outputs a multi-source vibration comprehensive impact index MVTI, calculates a foundation pit stress distribution value GSF of the foundation pit based on the multi-source vibration comprehensive impact index MVTI, and then comprehensively calculates the multi-source vibration comprehensive impact index MVTI and the foundation pit stress distribution value GSF to obtain a foundation pit stability coefficient GSC; The monitoring point abnormality analysis module performs a preliminary assessment based on the output result of the foundation pit stability coefficient GSC. If the preliminary assessment shows that the foundation pit stability is abnormal, an early warning message is generated. At the same time, the multi-source vibration comprehensive impact index MVTI is combined to calculate and output the monitoring point risk value RIM to analyze the abnormal monitoring point; The visualized thermal distribution module performs a secondary assessment based on the preset risk threshold R1 and the acquired monitoring point risk value RIM, divides the risk levels of the monitoring points based on the secondary assessment results, and constructs a visualization interface at the same time, and displays different color RGB values ​​on the visualization interface based on the divided risk levels.

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