A foundation pit safety monitoring system based on the Internet of Things

Abstract

The present invention provides a foundation pit safety monitoring system based on the Internet of Things, which relates to the field of foundation pit monitoring. The system includes: a groundwater data module, which is used to obtain groundwater pressure data and groundwater displacement data through a water pressure sensor combination and a displacement sensor; a groundwater monitoring module, which is used to determine a groundwater safety monitoring score; a ground data module, which is used to obtain ground pressure data through a pressure sensor; a ground monitoring module, which is used to determine a ground pressure safety monitoring score; an image data module, which is used to obtain a building image and a site image through a camera; a building monitoring module, which is used to determine a building safety monitoring score based on the building image; a site monitoring module, which is used to determine a site safety monitoring score based on the site image; and a monitoring report module, which is used to generate a monitoring report. According to the present invention, the comprehensiveness, objectivity and accuracy of foundation pit safety monitoring can be improved.

Description

Technical Field

[0001] The present invention relates to the field of foundation pit monitoring, and in particular to a foundation pit safety monitoring system based on the Internet of Things. Background Art

[0002] With the advancement of science and technology and its wide application, foundation pit monitoring technology is constantly innovating and developing. Although traditional monitoring methods such as manual observation and measuring instruments are reliable, they are cumbersome, time-consuming and labor-intensive to operate, and are restricted by human factors and environmental conditions. Modern monitoring technologies such as sensor technology and Internet of Things technology are more efficient, accurate and automated, providing more accurate and reliable monitoring methods for engineering construction.

[0003] In the related technology, CN114844922B discloses a foundation pit safety monitoring system based on the Internet of Things, including a field data acquisition module, an integrated communication module, a cloud server, a mobile terminal and a computer terminal. The field data acquisition module is used to collect foundation pit safety data, and send the foundation pit safety data to the cloud server through the integrated communication module. The cloud server is used to calculate trend prediction values ​​based on the foundation pit safety data and a preset mathematical model, generate and distribute safety reports, and realize prediction and early warning. The mobile terminal and the computer terminal are used to receive prediction and early warning information. The computer terminal is also used to access the cloud server for data management and system operation parameter setting. The system can realize real-time safety monitoring of the foundation pit based on the Internet of Things devices, thereby helping staff to promptly detect safety hazards and ensure the safety of foundation pit construction.

[0004] CN116233191A discloses an intelligent foundation pit monitoring system, which relates to the field of foundation pit monitoring and solves the problem that the existing technology is difficult to meet the dynamic monitoring and safety warning requirements of the project. The solution identifies and collects foundation pit monitoring data through a data perception layer, pre-analyzes the data through a data acquisition layer and converts it into a digital signal for transmission. The data processing module of the cloud platform organizes and analyzes the collected data, evaluates the safety and stability of the current foundation pit support structure by comparing the current foundation pit monitoring data with the historical foundation pit monitoring data, generates a safety report and publishes it, and transmits the original foundation pit monitoring data processed by the data processing module to the safety warning module. The safety warning module analyzes and judges the foundation pit monitoring data according to the set warning value. If the set warning value is reached, a corresponding warning indication is made and the warning information is sent to the terminal.

[0005] Based on the above-mentioned related technologies, the technical problem of being unable to realize real-time safety monitoring of foundation pits based on Internet of Things devices can be solved. However, the related technologies do not take into account the impact of groundwater conditions, ground pressure conditions and conditions of buildings around the foundation pit on the safety of the foundation pit during the foundation pit construction process. That is, it is impossible to conduct comprehensive monitoring of the safety of the foundation pit based on the groundwater conditions, ground pressure conditions and conditions of buildings around the foundation pit during the foundation pit construction process.

[0006] The information disclosed in the background technology section of this application is only intended to deepen the understanding of the general background technology of this application, and should not be regarded as an admission or any form of suggestion that the information constitutes the prior art already known to those skilled in the art. Summary of the invention

[0007] The present invention provides a foundation pit safety monitoring system based on the Internet of Things, which can solve the technical problem that related technologies are unable to comprehensively monitor the safety of foundation pits according to groundwater conditions, ground pressure conditions and conditions of buildings around the foundation pits during the foundation pit construction process.

[0008] According to a first aspect of the present invention, there is provided a foundation pit safety monitoring system based on the Internet of Things, comprising:

[0009] A groundwater data module is used to obtain groundwater pressure data and groundwater displacement data collected by multiple water pressure sensors at multiple moments in the monitoring period through multiple water pressure sensor combinations and displacement sensors arranged around the foundation pit, wherein the water pressure sensor combination includes multiple vertically arranged water pressure sensors, and in different water pressure sensor combinations, water pressure sensors with the same serial number are installed at the same position in the vertical direction;

[0010] A groundwater monitoring module, used to determine a groundwater safety monitoring score based on the groundwater pressure data, groundwater displacement data and the serial number of the water pressure sensor;

[0011] A ground data module is used to obtain ground pressure data collected by multiple pressure sensors at multiple times during the monitoring period through pressure sensors arranged around the foundation pit;

[0012] A ground monitoring module, used to determine a ground pressure safety monitoring score according to the ground pressure data;

[0013] An image data module is used to obtain architectural images of buildings around the foundation pit and on-site images of the foundation pit site through cameras set at preset positions at multiple moments in the monitoring cycle;

[0014] A building monitoring module, used to determine a building safety monitoring score based on the building image;

[0015] A site monitoring module, used to determine a site safety monitoring score based on the site image;

[0016] The monitoring report module is used to generate a monitoring report based on the groundwater safety monitoring score, the ground pressure safety monitoring score, the building safety monitoring score and the on-site safety monitoring score.

[0017] According to a second aspect of the present invention, there is provided a foundation pit safety monitoring method based on the Internet of Things, comprising:

[0018] At multiple moments in the monitoring period, the groundwater pressure data and groundwater displacement data collected by the multiple water pressure sensors are obtained by using multiple water pressure sensor combinations and displacement sensors arranged around the foundation pit, wherein the water pressure sensor combination includes multiple vertically arranged water pressure sensors, and in different water pressure sensor combinations, water pressure sensors with the same serial number are installed at the same position in the vertical direction;

[0019] Determining a groundwater safety monitoring score according to the groundwater pressure data, the groundwater displacement data and the serial number of the water pressure sensor;

[0020] At multiple moments in the monitoring cycle, ground pressure data collected by multiple pressure sensors are obtained through pressure sensors arranged around the foundation pit;

[0021] Determining a ground pressure safety monitoring score based on the ground pressure data;

[0022] At multiple moments in the monitoring cycle, the building images of the buildings around the foundation pit and the on-site images of the foundation pit are obtained through cameras set at preset positions;

[0023] Determining a building safety monitoring score based on the building image;

[0024] Determining a site safety monitoring score based on the site image;

[0025] A monitoring report is generated based on the groundwater safety monitoring score, ground pressure safety monitoring score, building safety monitoring score and site safety monitoring score.

[0026] According to a third aspect of the present invention, there is provided a foundation pit safety monitoring device based on the Internet of Things, comprising: a processor; a memory for storing processor executable instructions; wherein the processor is configured to call the instructions stored in the memory to execute the foundation pit safety monitoring method based on the Internet of Things.

[0027] According to a fourth aspect of the present invention, there is provided a computer-readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the foundation pit safety monitoring method based on the Internet of Things.

[0028] Technical effect: According to the present invention, the safety of the foundation pit can be comprehensively monitored from four aspects: groundwater safety, ground pressure safety, building safety and foundation pit site safety, so as to more accurately monitor the safety status of the foundation pit, and improve the comprehensiveness, objectivity and accuracy of the foundation pit safety monitoring. When determining the groundwater safety monitoring score, the groundwater safety monitoring score can be determined according to the groundwater displacement data, the displacement change rate, the groundwater pressure data and the serial number of the water pressure sensor. In the calculation process, the groundwater safety status is determined from the groundwater displacement and the groundwater inclination, respectively, which improves the comprehensiveness, accuracy and scientificity of the groundwater safety monitoring score. When determining the ground pressure safety monitoring score, the ground pressure safety monitoring score can be determined according to the ground pressure data. In the calculation process, the ground pressure safety monitoring score around the foundation pit is evaluated from the two aspects of the average distribution of the ground pressure and the maximum value of the ground pressure, respectively, which improves the comprehensiveness, scientificity and accuracy of the ground pressure safety monitoring score. When determining the building safety monitoring score, the building safety monitoring score can be determined according to the building standard vector and the building real-time vector. In the calculation process, the inclination of the building around the foundation pit is fully considered, which improves the scientificity and accuracy of the building safety monitoring score. When determining the on-site safety monitoring score, the artificial intelligence model can be used to detect various elements in the on-site image, so as to evaluate the safety of the foundation pit construction site from multiple aspects and improve the accuracy and objectivity of the on-site safety monitoring score.

[0029] It should be understood that the above general description and the following detailed description are exemplary and explanatory only and do not limit the present invention. Other features and aspects of the present invention will become more apparent from the following detailed description of exemplary embodiments with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other embodiments can be obtained based on these drawings without creative work.

[0031] Figure 1 A block diagram of a foundation pit safety monitoring system based on the Internet of Things according to an embodiment of the present invention is exemplarily shown;

[0032] Figure 2 A schematic flow chart of a foundation pit safety monitoring method based on the Internet of Things according to an embodiment of the present invention is exemplarily shown. DETAILED DESCRIPTION

[0033] 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 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.

[0034] The technical solution of the present invention is described in detail with specific embodiments below. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0035] Figure 1 A block diagram of a foundation pit safety monitoring system based on the Internet of Things according to an embodiment of the present invention is exemplarily shown, and the system includes:

[0036] A groundwater data module is used to obtain groundwater pressure data and groundwater displacement data collected by multiple water pressure sensors at multiple moments in the monitoring period through multiple water pressure sensor combinations and displacement sensors arranged around the foundation pit, wherein the water pressure sensor combination includes multiple vertically arranged water pressure sensors, and in different water pressure sensor combinations, water pressure sensors with the same serial number are installed at the same position in the vertical direction;

[0037] A groundwater monitoring module, used to determine a groundwater safety monitoring score based on the groundwater pressure data, groundwater displacement data and the serial number of the water pressure sensor;

[0038] A ground data module is used to obtain ground pressure data collected by multiple pressure sensors at multiple times during the monitoring period through pressure sensors arranged around the foundation pit;

[0039] A ground monitoring module, used to determine a ground pressure safety monitoring score according to the ground pressure data;

[0040] An image data module is used to obtain architectural images of buildings around the foundation pit and on-site images of the foundation pit site through cameras set at preset positions at multiple moments in the monitoring cycle;

[0041] A building monitoring module, used to determine a building safety monitoring score based on the building image;

[0042] A site monitoring module, used to determine a site safety monitoring score based on the site image;

[0043] The monitoring report module is used to generate a monitoring report based on the groundwater safety monitoring score, the ground pressure safety monitoring score, the building safety monitoring score and the on-site safety monitoring score.

[0044] According to the Internet of Things-based foundation pit safety monitoring system of the embodiment of the present invention, the foundation pit safety can be comprehensively monitored from four aspects: groundwater safety, ground pressure safety, building safety and foundation pit site safety, thereby more accurately monitoring the safety status of the foundation pit and improving the comprehensiveness, objectivity and accuracy of the monitoring.

[0045] According to one embodiment of the present invention, in the groundwater data module, at multiple moments in the monitoring period, groundwater pressure data and groundwater displacement data collected by multiple water pressure sensors are obtained through multiple water pressure sensor combinations and displacement sensors arranged around the foundation pit, wherein the water pressure sensor combination includes multiple vertically arranged water pressure sensors, and in different water pressure sensor combinations, water pressure sensors with the same serial number have the same installation position in the vertical direction.

[0046] For example, by installing a displacement sensor at an appropriate position in the foundation pit, the groundwater displacement data collected by the displacement sensor can be obtained in real time. By installing multiple water pressure sensors around the foundation pit with the centroid of the foundation pit as the center and ensuring that the groundwater surface is above the water pressure sensor, the groundwater pressure data collected by multiple water pressure sensors can be obtained in real time.

[0047] According to one embodiment of the present invention, in the groundwater monitoring module, the groundwater safety monitoring score is determined based on the groundwater pressure data, the groundwater displacement data and the serial number of the water pressure sensor.

[0048] According to an embodiment of the present invention, determining a groundwater safety monitoring score according to the groundwater pressure data, the groundwater displacement data and the sequence number of the water pressure sensor includes:

[0049] Fitting the groundwater displacement data and multiple moments of the monitoring period to obtain a displacement function of the groundwater displacement data in the monitoring period;

[0050] Determining a displacement derivative function according to the displacement function;

[0051] Determining the displacement change rate at multiple moments in the current monitoring period according to the displacement derivative function;

[0052] A groundwater safety monitoring score is determined based on the groundwater displacement data, displacement change rate, groundwater pressure data and the serial number of the water pressure sensor.

[0053] For example, groundwater displacement data and multiple moments in the monitoring period are fitted to obtain a displacement function that is used to describe the law of groundwater displacement changing over time in the monitoring period. The displacement function is differentiated to obtain a displacement derivative function. Multiple moments in the monitoring period are substituted into the displacement derivative function to determine the displacement change rate at multiple moments in the monitoring period.

[0054] According to one embodiment of the present invention, the groundwater safety monitoring score is determined according to the groundwater displacement data, the displacement change rate, the groundwater pressure data and the serial number of the water pressure sensor, including: determining the groundwater safety monitoring score UWS at the kth moment of the monitoring period according to formula (1): k ,

[0055]

[0056] Among them, α1 and α2 are preset weights, w t is the preset groundwater displacement threshold, w k is the groundwater displacement data at the kth moment of the monitoring period, w' t Preset displacement change rate threshold, w'1(t k ) is the displacement change rate at the kth moment of the monitoring period, P i+1,j,k is the groundwater pressure data collected by the jth water pressure sensor in the i+1th water pressure sensor combination at the kth moment of the monitoring period, P i,j,k is the groundwater pressure data collected by the jth water pressure sensor in the ith water pressure sensor combination at the kth moment of the monitoring period, ρ is the density of groundwater, g is the acceleration of gravity, m is the number of water pressure sensors contained in each group of water pressure sensor combinations, n is the number of water pressure sensor combinations, i≤n, j≤m, and i, j, m and n are all positive integers.

[0057] According to one embodiment of the present invention, It is the ratio of the difference between the preset groundwater displacement threshold and the groundwater displacement data at the kth moment of the monitoring period to the preset groundwater displacement threshold. The larger the ratio is, the greater the difference between the groundwater displacement at the kth moment of the monitoring period and the preset groundwater displacement threshold is, the greater the foundation pit safety is, and the greater the groundwater safety monitoring score is. It is the ratio of the difference between the preset displacement change rate threshold and the displacement change rate at the kth moment of the monitoring period to the preset displacement change rate threshold. The larger the ratio is, the greater the difference between the displacement change rate at the kth moment of the monitoring period and the preset displacement change rate threshold is, the greater the foundation pit safety is, and the greater the groundwater safety monitoring score is. is the ratio of the groundwater pressure data collected by the jth water pressure sensor in the i+1th water pressure sensor combination at the kth moment of the monitoring period to the density of the groundwater and the gravity acceleration, indicating the actual depth of the jth water pressure sensor in the i+1th water pressure sensor combination in the water, represents the actual depth of the jth water pressure sensor in the i-th water pressure sensor combination in the water, is the ratio of the actual depth of the j-th water pressure sensor in the i+1-th water pressure sensor combination in the water to the actual depth of the j-th water pressure sensor in the i-th water pressure sensor combination in the water (because the groundwater surface is not above the water pressure sensor combination, is not 0), because in different water pressure sensor combinations, water pressure sensors with the same serial number are installed at the same vertical position, the ratio represents the inclination of the groundwater surface at the ith water pressure sensor and the (i+1)th water pressure sensor. The closer the ratio is to 1, the smaller the inclination of the groundwater surface. The summation and average operation is performed based on the number of water pressure sensor combinations and the number of water pressure sensors contained in each water pressure sensor combination to represent the overall inclination of the groundwater surface. The closer the average value is to 1, the smaller the groundwater inclination is and the greater the groundwater safety monitoring score is.

[0058] In this way, the groundwater safety monitoring score is determined based on the groundwater displacement data, displacement change rate, groundwater pressure data and the serial number of the water pressure sensor. During the calculation process, the groundwater safety status is determined from two aspects: groundwater displacement and groundwater inclination, which improves the comprehensiveness, accuracy and scientificity of the groundwater safety monitoring score.

[0059] According to an embodiment of the present invention, in the ground data module, at multiple moments in the monitoring period, ground pressure data collected by multiple pressure sensors are obtained through pressure sensors arranged around the foundation pit.

[0060] For example, by installing pressure sensors evenly and symmetrically on the ground near the foundation pit with the centroid of the foundation pit as the center, the ground pressure data of the ground near the foundation pit is collected in real time through the pressure sensors.

[0061] According to an embodiment of the present invention, in the ground monitoring module, a ground pressure safety monitoring score is determined based on the ground pressure data.

[0062] According to one embodiment of the present invention, determining the ground pressure safety monitoring score according to the ground pressure data includes: determining the ground pressure safety monitoring score US at the kth moment of the monitoring period according to formula (2): k ,

[0063]

[0064] Among them, β1 and β2 are preset weights, F t is the preset ground pressure threshold, F k,b is the ground pressure data collected by the b-th pressure sensor at the k-th moment of the monitoring period, B is the number of pressure sensors, b≤B, and both b and B are positive integers, and max is the maximum value function.

[0065] According to one embodiment of the present invention, is the average value of the ground pressure data collected by B pressure sensors at the kth moment of the monitoring period, is the difference between the ground pressure data at the bth pressure sensor and the average value of the ground pressure data collected by B pressure sensors, is the ratio of the difference between the ground pressure data at the b-th pressure sensor and the average value of the ground pressure data collected by B pressure sensors to the difference between the average value of the ground pressure data collected by B pressure sensors. The larger the ratio, the greater the difference between the pressure at the b-th pressure sensor and the average pressure. The summation and averaging operation is performed according to the number of pressure sensors to evaluate whether the ground pressure distribution around the foundation pit is uniform. The larger the summation and average value, the more uneven the ground pressure distribution around the foundation pit, the lower the foundation pit safety, and the lower the ground pressure safety monitoring score. t -max b∈[1,B] F k,b is the difference between the preset ground pressure threshold and the maximum value of the ground pressure data collected by the bth pressure sensor, is the ratio of the difference between the preset ground pressure threshold and the maximum value of the ground pressure data collected by the bth pressure sensor to the preset ground pressure threshold. The larger the ratio, the greater the difference between the ground pressure around the foundation pit and the preset ground pressure threshold, the higher the safety of the foundation pit, and the greater the ground pressure safety monitoring score. The above-mentioned maximum value processing can be used to determine the maximum condition of the ground pressure around the foundation pit, evaluate the ground pressure condition around the foundation pit based on the maximum condition of the ground pressure around the foundation pit, and determine the ground pressure safety monitoring score US based on the ground pressure distribution around the foundation pit and the maximum ground pressure. k The greater the ground pressure safety monitoring score, the higher the foundation pit safety.

[0066] In this way, the ground pressure safety monitoring score is determined based on the ground pressure data. During the calculation process, the ground pressure safety status around the foundation pit is evaluated from two aspects: the average distribution of ground pressure and the maximum ground pressure. This improves the comprehensiveness, scientificity and accuracy of the ground pressure safety monitoring score.

[0067] According to one embodiment of the present invention, in the image data module, at multiple moments in the monitoring period, architectural images of buildings around the foundation pit and on-site images of the foundation pit are acquired through cameras set at preset positions.

[0068] For example, a camera is fixedly installed at each building around the foundation pit, and the architectural image of each building is obtained in real time through the camera. Through multiple cameras installed at the foundation pit site, the foundation pit site images at different angles are obtained in real time.

[0069] According to an embodiment of the present invention, in the building monitoring module, a building safety monitoring score is determined based on the building image.

[0070] According to an embodiment of the present invention, determining a building safety monitoring score according to the building image includes:

[0071] In the building image, determining a first key point and a second key point of the building;

[0072] In the building image at the initial moment of the monitoring period, determining the building standard vector according to the first key point and the second key point of the building;

[0073] In the building images at multiple moments in the monitoring period, determining the real-time vector of the building according to the first key point and the second key point of the building;

[0074] A building safety monitoring score is determined based on the building standard vector and the building real-time vector.

[0075] For example, the midpoint of the top outline of the building is set as the first key point, and the midpoint of the bottom outline of the building is set as the second key point. In the building image taken in each monitoring period, the positions of the first key point and the second key point of the building are determined. According to the positions of the first key point and the second key point in the building image at the initial moment, the building standard vector is determined. According to the positions of the first key point and the second key point in the building image at multiple moments in the monitoring period, multiple building real-time vectors are determined.

[0076] According to an embodiment of the present invention, determining the building safety monitoring score according to the building standard vector and the building real-time vector includes: determining the building safety monitoring score UA of the s-th building around the foundation pit at the k-th moment of the monitoring period according to formula (3): s,k ,

[0077]

[0078] Among them, if is the conditional function, D s,o,t,a is the building standard vector of the sth building, D s,e,r,a,k is the real-time vector of the sth building at the kth moment of the monitoring period, θ T is the preset angle threshold.

[0079] According to one embodiment of the present invention, is the cosine similarity between the building standard vector of the s-th building and the building real-time vector of the s-th building at the k-th moment of the monitoring period, is the angle between the building standard vector of the sth building determined by the arccosine function and the building real-time vector of the sth building at the kth moment of the monitoring period. In formula (3), the following two cases can be expressed according to the form of conditional function: When , the angle between the building standard vector of the sth building and the building real-time vector of the sth building at the kth moment of the monitoring period is less than the preset angle threshold, indicating that the sth building around the foundation pit has not been offset due to the foundation pit construction, the foundation pit construction is highly safe, and the function value is 1; when When the angle between the building standard vector of the s-th building and the building real-time vector of the s-th building at the k-th moment of the monitoring period is greater than the preset angle threshold, it means that the buildings around the foundation pit are offset, the safety of the foundation pit construction is low, and the function value is 0.

[0080] In this way, the building safety monitoring score is determined based on the building standard vector and the building real-time vector. The inclination conditions of the buildings around the foundation pit are fully considered during the calculation process, which improves the scientificity and accuracy of the building safety monitoring score.

[0081] According to an embodiment of the present invention, in the on-site monitoring module, an on-site safety monitoring score is determined based on the on-site image.

[0082] According to an embodiment of the present invention, determining a site safety monitoring score based on the site image includes:

[0083] In the on-site image, identifying whether there is a ventilation device at the foundation pit construction site through an image detection model, and determining a ventilation device identification result;

[0084] In the on-site image, identifying whether there is a drainage device at the foundation pit construction site through an image detection model, and determining a drainage device identification result;

[0085] In the on-site image, identifying whether there is methane leakage detection equipment at the foundation pit construction site through an image detection model, and determining a methane detection identification result;

[0086] An on-site safety monitoring score is determined based on the ventilation device identification results, drainage device identification results and methane detection identification results.

[0087] For example, when there is a ventilation device at the foundation pit construction site, the harmful gas in the foundation pit can be discharged in time to maintain a good construction environment. The foundation pit is highly safe, and the ventilation device identification result is 1. When there is no ventilation device at the foundation pit construction site, the foundation pit is low in safety, and the ventilation device identification result is 0. When there is a drainage device at the foundation pit construction site, it can prevent water accumulation inside the foundation pit, strengthen the foundation structure, and improve the quality of the foundation pit. The foundation pit is highly safe, and the drainage device identification result is 1. When there is no drainage device at the foundation pit construction site, the foundation pit is low in safety, and the drainage device identification result is 0. When there is a methane leak detection device at the foundation pit construction site, the concentration of methane gas in the foundation pit can be monitored in real time to ensure the safety of the construction site. The foundation pit is highly safe, and the methane detection identification result is 1. When there is no methane leak detection device at the foundation pit construction site, the foundation pit is low in safety, and the methane detection identification result is 0. The site safety monitoring score is determined by summing the ventilation device identification results, the drainage device identification results, and the methane detection identification results.

[0088] In this way, various elements in the on-site images can be detected based on the artificial intelligence model, so that the safety of the foundation pit construction site can be evaluated from multiple aspects, improving the accuracy and objectivity of the on-site safety monitoring score.

[0089] According to one embodiment of the present invention, in a monitoring report module, a monitoring report is generated based on the groundwater safety monitoring score, the ground pressure safety monitoring score, the building safety monitoring score and the site safety monitoring score.

[0090] For example, when the groundwater safety monitoring score is less than the set threshold, a groundwater safety warning is generated; when the ground pressure safety monitoring score is less than the set threshold, a ground pressure safety warning is generated; when the building safety monitoring scores of all surrounding buildings are less than the set threshold, a building safety warning is generated; when the site safety monitoring score is less than the set threshold, a site safety warning is generated.

[0091] According to the foundation pit safety monitoring system based on the Internet of Things according to the embodiment of the present invention, the foundation pit safety can be comprehensively monitored through four aspects of groundwater safety, ground pressure safety, building safety and foundation pit site safety, so as to more accurately monitor the safety status of the foundation pit, and improve the comprehensiveness, objectivity and accuracy of the foundation pit safety monitoring. When determining the groundwater safety monitoring score, the groundwater safety monitoring score can be determined according to the groundwater displacement data, the displacement change rate, the groundwater pressure data and the serial number of the water pressure sensor. In the calculation process, the groundwater safety status is determined from the groundwater displacement and the groundwater inclination, respectively, which improves the comprehensiveness, accuracy and scientificity of the groundwater safety monitoring score. When determining the ground pressure safety monitoring score, the ground pressure safety monitoring score can be determined according to the ground pressure data. In the calculation process, the ground pressure safety monitoring score around the foundation pit is evaluated from the two aspects of the average distribution of the ground pressure and the maximum value of the ground pressure, respectively, which improves the comprehensiveness, scientificity and accuracy of the ground pressure safety monitoring score. When determining the building safety monitoring score, the building safety monitoring score can be determined according to the building standard vector and the building real-time vector. In the calculation process, the inclination of the building around the foundation pit is fully considered, which improves the scientificity and accuracy of the building safety monitoring score. When determining the on-site safety monitoring score, the artificial intelligence model can be used to detect various elements in the on-site image, so as to evaluate the safety of the foundation pit construction site from multiple aspects and improve the accuracy and objectivity of the on-site safety monitoring score.

[0092] Figure 2 A schematic flow chart of a foundation pit safety monitoring method based on the Internet of Things according to an embodiment of the present invention is exemplarily shown, and the method includes:

[0093] Step S101, at multiple moments in the monitoring period, obtaining groundwater pressure data and groundwater displacement data collected by multiple water pressure sensors through multiple water pressure sensor combinations and displacement sensors arranged around the foundation pit, wherein the water pressure sensor combination includes multiple vertically arranged water pressure sensors, and in different water pressure sensor combinations, water pressure sensors with the same serial number are installed in the same position in the vertical direction;

[0094] Step S102, determining a groundwater safety monitoring score according to the groundwater pressure data, the groundwater displacement data and the serial number of the water pressure sensor;

[0095] Step S103, at multiple moments in the monitoring period, obtaining ground pressure data collected by multiple pressure sensors through pressure sensors arranged around the foundation pit;

[0096] Step S104, determining a ground pressure safety monitoring score according to the ground pressure data;

[0097] Step S105, at multiple moments in the monitoring cycle, acquiring architectural images of buildings around the foundation pit and on-site images of the foundation pit site through cameras set at preset positions;

[0098] Step S106, determining a building safety monitoring score according to the building image;

[0099] Step S107, determining a site safety monitoring score based on the site image;

[0100] Step S108, generating a monitoring report based on the groundwater safety monitoring score, the ground pressure safety monitoring score, the building safety monitoring score and the on-site safety monitoring score.

[0101] According to one embodiment of the present invention, there is provided a foundation pit safety monitoring device based on the Internet of Things, comprising: a processor; a memory for storing processor executable instructions; wherein the processor is configured to call the instructions stored in the memory to execute the foundation pit safety monitoring method based on the Internet of Things.

[0102] According to one embodiment of the present invention, a computer-readable storage medium is provided, on which computer program instructions are stored. When the computer program instructions are executed by a processor, the foundation pit safety monitoring method based on the Internet of Things is implemented.

[0103] The present invention may be a method, an apparatus, a system and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for executing various aspects of the present invention.

[0104] It should be understood by those skilled in the art that the embodiments of the present invention described above and shown in the accompanying drawings are only examples and do not limit the present invention. The purpose of the present invention has been fully and effectively achieved. The functional and structural principles of the present invention have been demonstrated and explained in the embodiments, and the embodiments of the present invention may be deformed or modified in any way without departing from the principles.

[0105] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A foundation pit safety monitoring system based on the Internet of Things, characterized in that: include: A groundwater data module is used to obtain groundwater pressure data and groundwater displacement data collected by multiple water pressure sensors at multiple moments in the monitoring period through multiple water pressure sensor combinations and displacement sensors arranged around the foundation pit, wherein the water pressure sensor combination includes multiple vertically arranged water pressure sensors, and in different water pressure sensor combinations, water pressure sensors with the same serial number are installed at the same position in the vertical direction; A groundwater monitoring module, used to determine a groundwater safety monitoring score based on the groundwater pressure data, groundwater displacement data and the serial number of the water pressure sensor; A ground data module is used to obtain ground pressure data collected by multiple pressure sensors at multiple times during the monitoring period through pressure sensors arranged around the foundation pit; A ground monitoring module, used to determine a ground pressure safety monitoring score according to the ground pressure data; An image data module is used to obtain architectural images of buildings around the foundation pit and on-site images of the foundation pit site through cameras set at preset positions at multiple moments in the monitoring cycle; A building monitoring module, used to determine a building safety monitoring score based on the building image; A site monitoring module, used to determine a site safety monitoring score based on the site image; A monitoring report module, used to generate a monitoring report based on the groundwater safety monitoring score, the ground pressure safety monitoring score, the building safety monitoring score and the site safety monitoring score; According to the groundwater pressure data, groundwater displacement data and the serial number of the water pressure sensor, a groundwater safety monitoring score is determined, including: Fitting the groundwater displacement data and multiple moments of the monitoring period to obtain a displacement function of the groundwater displacement data in the monitoring period; Determining a displacement derivative function according to the displacement function; Determining the displacement change rate at multiple moments in the current monitoring period according to the displacement derivative function; Determining a groundwater safety monitoring score based on the groundwater displacement data, displacement change rate, groundwater pressure data and the serial number of the water pressure sensor; According to the groundwater displacement data, displacement change rate, groundwater pressure data and the serial number of the water pressure sensor, a groundwater safety monitoring score is determined, including: According to the formula Determine the groundwater safety monitoring score UWS at the kth moment of the monitoring period k , where α1 and α2 are preset weights, w t is the preset groundwater displacement threshold, w k is the groundwater displacement data at the kth moment of the monitoring period, w' t Preset displacement change rate threshold, w'1(t k ) is the displacement change rate at the kth moment of the monitoring period, P i+1，j，k is the groundwater pressure data collected by the jth water pressure sensor in the i+1th water pressure sensor combination at the kth moment of the monitoring period, P i，j，k is the groundwater pressure data collected by the jth water pressure sensor in the i-th water pressure sensor combination at the k-th moment of the monitoring period, ρ is the density of groundwater, g is the gravitational acceleration, m is the number of water pressure sensors contained in each group of water pressure sensor combinations, n is the number of water pressure sensor combinations, i≤n, j≤m, and i, j, m and n are all positive integers; Based on the ground pressure data, a ground pressure safety monitoring score is determined, including: According to the formula Determine the ground pressure safety monitoring score US at the kth moment of the monitoring cycle k , where β1 and β2 are preset weights, F t is the preset ground pressure threshold, F k，b is the ground pressure data collected by the b-th pressure sensor at the k-th moment of the monitoring period, B is the number of pressure sensors, b≤B, and both b and B are positive integers, and max is the maximum value function.

2. The foundation pit safety monitoring system based on the Internet of Things according to claim 1 is characterized in that: Determine a building safety monitoring score based on the building image, including: In the building image, determining a first key point and a second key point of the building; In the building image at the initial moment of the monitoring period, determining the building standard vector according to the first key point and the second key point of the building; In the building images at multiple moments in the monitoring period, determining the real-time vector of the building according to the first key point and the second key point of the building; A building safety monitoring score is determined based on the building standard vector and the building real-time vector.

3. The foundation pit safety monitoring system based on the Internet of Things according to claim 2 is characterized in that: Determine a building safety monitoring score based on the building standard vector and the building real-time vector, including: According to the formula Determine the building safety monitoring score UA of the sth building around the foundation pit at the kth moment of the monitoring period s,k , where if is the conditional function, D s,o,t,a is the building standard vector of the sth building, D s,e,r,a,k is the real-time vector of the sth building at the kth moment of the monitoring period, θ T is the preset angle threshold.

4. The foundation pit safety monitoring system based on the Internet of Things according to claim 1 is characterized in that: Determine the on-site safety monitoring score based on the on-site image, including: In the on-site image, identifying whether there is a ventilation device at the foundation pit construction site through an image detection model, and determining a ventilation device identification result; In the on-site image, identifying whether there is a drainage device at the foundation pit construction site through an image detection model, and determining a drainage device identification result; In the on-site image, identifying whether there is methane leakage detection equipment at the foundation pit construction site through an image detection model, and determining a methane detection identification result; An on-site safety monitoring score is determined based on the ventilation device identification results, drainage device identification results and methane detection identification results.

5. A foundation pit safety monitoring method based on the Internet of Things for a processor of a foundation pit safety monitoring system based on the Internet of Things as claimed in any one of claims 1 to 4, characterized in that: include: At multiple moments in the monitoring period, the groundwater pressure data and groundwater displacement data collected by the multiple water pressure sensors are obtained by using multiple water pressure sensor combinations and displacement sensors arranged around the foundation pit, wherein the water pressure sensor combination includes multiple vertically arranged water pressure sensors, and in different water pressure sensor combinations, water pressure sensors with the same serial number are installed at the same position in the vertical direction; Determining a groundwater safety monitoring score according to the groundwater pressure data, the groundwater displacement data and the serial number of the water pressure sensor; At multiple moments in the monitoring cycle, ground pressure data collected by multiple pressure sensors are obtained through pressure sensors arranged around the foundation pit; Determining a ground pressure safety monitoring score based on the ground pressure data; At multiple moments in the monitoring cycle, the building images of the buildings around the foundation pit and the on-site images of the foundation pit are obtained through cameras set at preset positions; Determining a building safety monitoring score based on the building image; Determining a site safety monitoring score based on the site image; A monitoring report is generated based on the groundwater safety monitoring score, ground pressure safety monitoring score, building safety monitoring score and site safety monitoring score.

6. A foundation pit safety monitoring device based on the Internet of Things, comprising: processor; A memory for storing processor-executable instructions; wherein the processor is configured to call the instructions stored in the memory to execute the method described in claim 5.

7. A computer-readable storage medium, characterized in that: Computer program instructions are stored thereon, and when the computer program instructions are executed by a processor, the method as claimed in claim 5 is implemented.

Images