Foundation pit monitoring method and system based on poor network environment

Abstract

The invention relates to a foundation pit monitoring method and system based on a poor network environment, and relates to the technical field of foundation pit monitoring, and the system comprises a plurality of shooting instruments which are used for shooting the image data of a foundation pit monitoring point, and uploading the image data to a CDN node with the minimum network delay; the CDN node is electrically connected with the plurality of shooting instruments and the edge computing node and is used for receiving and compressing the image data and transmitting the compressed image data to the edge computing node; and the edge computing node is used for receiving and decompressing the compressed image data transmitted by the CDN node, judging whether a protection mark in the image data is damaged or not, and generating protection abnormal information and sending the protection abnormal information to a user side if the protection mark is damaged. The data uploading speed of the sensor for monitoring the foundation pit can be increased, and when the network environment around the foundation pit is poor, a user can quickly obtain the accurate foundation pit monitoring condition based on the poor network environment.

Description

Technical Field

[0001] The present application relates to the technical field of foundation pit monitoring, and in particular to a foundation pit monitoring method and system based on a poor network environment. Background Art

[0002] Foundation pit engineering occupies an important position in modern construction engineering, and its stability is directly related to the safety and reliability of the project. However, the traditional foundation pit monitoring method based on poor network environment mainly relies on manual inspection and simple sensor data collection, which has problems such as untimely acquisition of monitoring data and low data accuracy. Especially in complex environments, the real-time and reliability of monitoring data are difficult to guarantee, which greatly affects the safety assessment and risk control of foundation pit engineering.

[0003] At present, the foundation pit monitoring system based on poor network environment integrates multiple sensors, such as displacement sensors, pressure sensors and tilt sensors, which can monitor the displacement, pressure and tilt of the foundation pit in real time. At the same time, through wireless communication technology, these data can be transmitted to the control center in real time for data analysis and processing, so as to realize real-time monitoring and early warning of the foundation pit project.

[0004] However, the existing foundation pit monitoring system may be affected by the special environment of the foundation pit, such as humidity and temperature changes, which may affect the performance of the sensor and the propagation of the wireless signal, or there may be signal blind spots or weak coverage areas around the foundation pit, resulting in delayed data upload of the sensor. For foundation pit projects that require rapid response, untimely uploading of sensor data will not only fail to accurately reflect the actual status of the foundation pit, affecting the timely assessment of the stability of the foundation pit, but also lead to the failure to send early warning information in time when abnormal conditions occur in the monitoring foundation pit, thus causing risk accidents. Summary of the invention

[0005] The first purpose of this application is to provide a foundation pit monitoring method based on a poor network environment, which can improve the data upload speed of the sensor monitoring the foundation pit, and when the network environment around the foundation pit is poor, the user can quickly obtain accurate foundation pit monitoring conditions based on the poor network environment.

[0006] In the first aspect, the present application provides a foundation pit monitoring system based on a poor network environment, which adopts the following technical solutions: A foundation pit monitoring system based on a poor network environment, comprising: Several photographing instruments, used to photograph image data of foundation pit monitoring points, and upload the image data to a CDN node with the smallest network delay; A CDN node is electrically connected to the plurality of photographing instruments and edge computing nodes, and is used to receive and compress the image data, and transmit the compressed image data to the edge computing node; The edge computing node is used to receive and decompress the compressed image data transmitted by the CDN node, determine whether the protection mark in the image data is damaged, and if damaged, generate protection abnormality information and send it to the user end.

[0007] By adopting the above technical solution, the shooting instrument uploads the image data to the CDN node with the smallest network delay, thereby reducing the delay in image data transmission. The CDN node receives and compresses the image data, thereby reducing the bandwidth requirement for image data transmission, so as to quickly transmit it to the edge computing node. The edge computing node receives and decompresses the compressed image data, thereby improving the real-time performance of image data processing under poor network environment. If the edge computing node detects that the protection mark is damaged, it generates protection abnormality information and sends it to the user end, so that the user can promptly understand the abnormal situation of the foundation pit monitoring point.

[0008] In a preferred example, the present application can be further configured as follows: the edge computing node is electrically connected to the monitoring instrument, and is also used to receive monitoring data from the monitoring instrument, and determine whether the monitoring data of the monitoring instrument exceeds a safety threshold. If the safety threshold is exceeded, the edge computing node generates an instruction to increase the monitoring frequency of the monitoring instrument and transmits it back to the monitoring instrument, and generates monitoring abnormality information and sends it to the user end.

[0009] By adopting the above technical solution, even when the network environment around the foundation pit is poor, the edge computing node can quickly receive the monitoring data from the monitoring instrument to achieve instant feedback of abnormal information.

[0010] In the second aspect, the present application provides a foundation pit monitoring method based on a poor network environment, using any of the above foundation pit monitoring systems based on a poor network environment, and has the following technical solutions: The photographing instrument photographs the image data of the foundation pit monitoring point, and uploads the image data to the CDN node with the smallest network delay; The CDN node receives and compresses the image data, and transmits the compressed image data to the edge computing node; The edge computing node receives and decompresses the compressed image data transmitted by the CDN node, determines whether the protection mark in the image data is damaged, and if damaged, generates protection abnormality information and sends it to the user end.

[0011] By adopting the above technical solution, the image data of the monitoring point is used to judge whether the protection of the monitoring point is damaged. It can be intuitively concluded whether the protection mark in the image data is damaged. In addition, the shooting instrument can be cached and compressed at the CDN node in a poor network environment before uploading to the user end until the network environment improves. The CDN node can provide faster and more stable data transmission services, and the CDN node transmits the compressed image data to the edge computing node to judge whether the protection mark in the image data is damaged, and quickly feeds back the monitoring abnormality information to the user end.

[0012] In a preferred example, the present application can be further configured as follows: the edge computing node receives and decompresses the compressed image data transmitted by the CDN node, determines whether the protection flag in the image data is damaged, and if damaged, generates protection abnormality information and sends it to the user end, and also includes: The edge computing node receives the monitoring data of the monitoring instrument and determines whether the monitoring data of the monitoring instrument exceeds the safety threshold. If it exceeds the safety threshold, the edge computing node generates an instruction to increase the monitoring frequency of the monitoring instrument and transmits it back to the monitoring instrument, and generates monitoring abnormality information and sends it to the user end.

[0013] By adopting the above technical solution, when the network environment around the foundation pit is poor, the edge computing node can receive monitoring data in real time and quickly determine whether the data exceeds the safety threshold. Once exceeded, an instruction to increase the monitoring frequency is generated. Through high-frequency monitoring, the actual situation of the monitoring point to which the monitoring instrument belongs can be more accurately fed back.

[0014] In a preferred example, the present application can be further configured as follows: the construction of the foundation pit monitoring point includes: A reference network is constructed based on three reference points buried outside the range of three times the excavation depth from the foundation pit edge, and some of the monitoring points are located within the reference network.

[0015] By adopting the above technical solution, the reference point is buried outside the range of three times the excavation depth from the foundation pit edge, so as to improve the stability and accuracy of the monitoring point, avoid the influence of ground deformation caused by foundation pit excavation on the monitoring data as much as possible, and improve the reliability of the monitoring data.

[0016] In a preferred example, the present application may be further configured as follows: the step of the photographing instrument photographing image data of the foundation pit monitoring point and uploading the image data to a CDN node with the smallest network delay includes: The photographing instrument obtains image data of the buried locations of pile top horizontal / vertical displacement monitoring points, surrounding ground, pipeline vertical displacement monitoring points, support column vertical displacement monitoring points, support axial force monitoring points, groundwater level monitoring points, and deep displacement monitoring points, and uploads the image data to the CDN node.

[0017] By adopting the above technical solution, it is possible to focus on monitoring the most important parts of the foundation pit and obtain key data to restore the actual situation of the foundation pit in the most realistic way.

[0018] In a preferred example, the present application can be further configured as follows: the edge computing node receives and decompresses the compressed image data transmitted by the CDN node, determines whether the protection flag in the image data is damaged, and if damaged, generates protection abnormality information and sends it to the user end, and further includes: The edge computing node generates an alarm instruction and sends the alarm instruction to an alarm instrument electrically connected to the monitoring instrument.

[0019] By adopting the above technical solution, after receiving the alarm command, the alarm instrument can remind the staff located near the monitoring instrument to check and handle the monitoring instrument that issued the alarm command.

[0020] In a preferred example, the present application can be further configured as follows: the edge computing node receives the monitoring data of the monitoring instrument, determines whether the monitoring data of the monitoring instrument exceeds the safety threshold, and if it exceeds the safety threshold, the edge computing node generates an instruction to increase the monitoring frequency of the monitoring instrument and transmits it back to the monitoring instrument, and generates monitoring abnormality information and sends it to the user end before the step, further comprising: The monitoring instruments respectively obtain monitoring data of the horizontal / vertical displacement of the pile top, as well as the vertical displacement of the surrounding ground, pipelines, buildings and supporting columns, supporting axial force, groundwater level, and deep displacement.

[0021] By adopting the above-mentioned technical scheme, the impact of foundation pit excavation on the supporting structure, surrounding environment, underground pipelines, supporting structure, groundwater level, deep soil, etc. can be comprehensively evaluated, the safety and stability of foundation pit excavation can be improved, and safety accidents caused by insufficient monitoring can be avoided as much as possible.

[0022] In a preferred example, the present application can be further configured as follows: the safety threshold includes a warning value, a rate of change, and a mean error in the height difference between monitoring points and stations, and the steps for setting the safety threshold include: The warning value of the monitoring instrument for monitoring the horizontal displacement of the pile top is set to 24 mm, the change rate is set to 4 mm / d, and the error in the coordinates of the monitoring point is set to be less than or equal to 1.5 mm; The warning value of the monitoring instrument for monitoring the vertical displacement of the pile top is set to 24 mm, the change rate is set to 4 mm / d, and the error in the coordinates of the monitoring point is set to be less than or equal to 0.5 mm; The warning value of the monitoring instrument for monitoring the vertical displacement of the surrounding ground and pipelines is set to 24mm, the change rate is set to 3mm / d, and the error in the coordinates of the monitoring points is set to be less than or equal to 0.5mm; The warning value of the monitoring instrument for monitoring the vertical displacement of buildings and supporting columns is set to 16 mm, the rate of change is set to 2 mm / d, and the error in the coordinates of the monitoring points is set to be less than or equal to 0.15 mm; The warning value of the monitoring instrument for monitoring the support axial force is set to 6000kN; The warning value of the monitoring instrument for monitoring groundwater level is set to 3000 mm, and the change rate is set to 600 mm / d; The warning value of the monitoring instrument for monitoring deep displacement is set to 40mm, and the change rate is set to 4mm / d.

[0023] By adopting the above technical solution, the warning value, change rate value, and error in the coordinates of each monitoring point are clearly defined, and the safety issues of the monitoring points are evaluated from multiple aspects to improve the safety of the foundation pit and its surroundings.

[0024] In a preferred example, the present application can be further configured as follows: the monitoring frequency is divided into a primary monitoring frequency and a secondary monitoring frequency according to the frequency from low to high, the edge computing node receives the monitoring data of the monitoring instrument, and determines whether the monitoring data of the monitoring instrument exceeds the safety threshold. If the safety threshold is exceeded, the edge computing node generates an instruction to increase the monitoring frequency of the monitoring instrument and transmits it back to the monitoring instrument, and generates monitoring abnormality information and sends it to the user end, and further includes: When the monitoring value of the foundation pit support structure is relatively stable and there is no obvious change in the excavation condition, the monitoring instrument adopts the first-level monitoring frequency for monitoring; When the foundation pit support structure and groundwater level monitoring values ​​are relatively stable, the monitoring instrument adopts the first-level monitoring frequency for monitoring; When the deformation exceeds the safety threshold or the site conditions exceed the preset stability range, the monitoring instrument uses the secondary monitoring frequency for monitoring.

[0025] By adopting the above technical solution, the monitoring frequency is further divided. When the monitoring data is unstable or the site conditions exceed the preset stability range, it is switched to the secondary monitoring frequency, thereby increasing the density and frequency of monitoring data collection, so that the foundation pit can obtain more detailed and frequent monitoring data during the critical period, so as to feedback the actual situation of the foundation pit with monitoring data as much as possible.

[0026] In summary, this application has the following beneficial technical effects: In this application, when the network environment is poor, the image data obtained by the camera is uploaded to the CDN node with the smallest network delay for caching. The CDN node can select the path with the smallest network delay for data transmission based on the user's location and network conditions, so that the image data can be uploaded to the edge computing node quickly and stably, and then the edge computing node determines the protection status and uploads the abnormal data to the user end, thereby improving the data upload speed of the sensor for monitoring the foundation pit, so that when the network environment around the foundation pit is poor, the user can quickly obtain accurate foundation pit monitoring conditions based on the poor network environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a structural schematic diagram of a foundation pit monitoring system based on a poor network environment according to one embodiment of the present application.

[0028] Figure 2 It is a flow chart of a foundation pit monitoring method based on a poor network environment in one of the embodiments of the present application.

[0029] Figure 3 It is a sub-step flow chart of step S3 in one embodiment of the present application.

[0030] Figure 4 It is a flowchart of the steps of constructing foundation pit monitoring points in one embodiment of the present application.

[0031] Figure 5 It is a sub-step flow chart of step S1 in one embodiment of the present application.

[0032] Figure 6 This is a flowchart of steps added after step S3 in one embodiment of the present application.

[0033] Figure 7 This is a flowchart of steps added before step S30 in one embodiment of the present application.

[0034] Figure 8 This is a flowchart of the steps for setting a safety threshold in one embodiment of the present application.

[0035] Fig. 9 It is a sub-step flow chart of step S30 in one embodiment of the present application.

[0036] Figure numerals: 1. Shooting instrument; 2. CDN node; 3. Edge computing node; 4. Monitoring instrument. DETAILED DESCRIPTION

[0037] The following is combined with Figure 1-9 This application is described in further detail.

[0038] refer to Figure 1, a foundation pit monitoring system based on a poor network environment, including several photographing instruments 1 for photographing image data of foundation pit monitoring points, and uploading the image data to a CDN node 2 with the smallest network delay. In this embodiment, obvious markings are set up around the locations where the monitoring equipment at the monitoring points is buried, such as marking the point numbers with spray paint or hanging signs, and the image data contains obvious markings, namely protection signs. The photographing instrument 1 uploads the image data to the CDN node 2 with the smallest network delay, thereby reducing the delay in image data transmission and achieving fast loading. Even in a poor network environment, the CDN node 2 can continue to provide services, and the cached image data can still be accessed. Using commands such as the ping command or professional network testing software, the time it takes for a data packet to travel from a sending device to the CDN node 2 and back can be measured to obtain a ping value. By comparing the ping values ​​of several CDN nodes 2, the CDN node 2 with the smallest network delay can be obtained.

[0039] The CDN node 2 is electrically connected to a number of shooting instruments 1 and an edge computing node 3 to achieve data transmission among the three. The CDN node 2 is used to receive and compress image data. The CDN node 2 implements adaptive compression technology to automatically adjust the compression ratio according to the characteristics of the image data and network conditions, balancing compression efficiency and image quality. In this embodiment, redundant information, such as error control coding, can be embedded in the image data to enhance the anti-interference ability of the data. When decompressing data, the edge computing node 3 can automatically detect and repair data errors, and can automatically detect and repair image data errors to improve data integrity and reliability.

[0040] Specifically, CDN node 2 transmits the compressed image data to edge computing node 3. Edge computing node 3 is used to receive and decompress the compressed image data transmitted by CDN node 2, and determine whether the protection mark in the image data is damaged. If it is damaged, it generates protection abnormality information and sends it to the user end to remind the user that the protection mark of the monitoring point is damaged and there is a risk of damage to the buried monitoring equipment.

[0041] In this embodiment, the photographing instrument 1 uploads the image data to the CDN node 2 with the smallest network delay, reducing the delay of image data transmission and effectively shortening the network transmission time of the image data. The CDN node 2 receives the image data and compresses it, reducing the bandwidth requirement for image data transmission, so as to quickly transmit it to the edge computing node 3. After receiving the compressed image data transmitted from the CDN node 2, the edge computing node 3 decompresses the image data, thereby enhancing the immediacy of image data processing even in an environment with poor network conditions. If the edge computing node 3 determines that the protection mark in the image data is destroyed, it generates protection abnormality information about the monitoring point to which the image data belongs and sends it to the user end, without transmitting large-volume image data to the user end, so that the user can understand the abnormal situation of the foundation pit monitoring point in a timely manner.

[0042] Furthermore, the edge computing node 3 is electrically connected to the monitoring instrument 4, and is also used to receive the monitoring data of the monitoring instrument 4, and determine whether the monitoring data of the monitoring instrument 4 exceeds the safety threshold. When receiving the monitoring data, the edge computing node 3 has preliminary data preprocessing capabilities, such as data cleaning, outlier detection and preliminary analysis, to reduce the upload of invalid monitoring data and improve data processing efficiency. If the monitoring data of the monitoring instrument 4 exceeds the safety threshold, the edge computing node 3 generates an instruction to increase the monitoring frequency of the monitoring instrument 4 and transmits it back to the monitoring instrument 4, and generates monitoring abnormality information and sends it to the user end, thereby achieving that in the case of poor network environment around the foundation pit, the edge computing node 3 can also quickly receive the monitoring data of the monitoring instrument 4 and immediately feedback the abnormal information to the user end.

[0043] The present application also provides a method for monitoring a foundation pit based on a poor network environment, using any of the above-mentioned Internet of Things boxes for ovens, referring to Figure 2 , specifically including: S1. The photographing device 1 photographs the image data of the foundation pit monitoring point and uploads the image data to the CDN node 2 with the smallest network delay.

[0044] Specifically, since image data is usually large, in order to enable users to obtain the protection status of foundation pit monitoring points in a timely manner under poor network conditions, the efficient data transmission and caching mechanism of CDN nodes 2 around the world is used to reduce the delay in image data transmission and provide a faster response speed.

[0045] S2, CDN node 2 receives and compresses the image data, and transmits the compressed image data to edge computing node 3.

[0046] Specifically, CDN node 2 reduces the bandwidth requirement for image data transmission through caching and compression technology, thereby improving the utilization efficiency of network resources in the case of poor network conditions.

[0047] S3. The edge computing node 3 receives and decompresses the compressed image data transmitted by the CDN node 2, and determines whether the protection mark in the image data is damaged. If it is damaged, a protection abnormality message is generated and sent to the user end.

[0048] Specifically, even when the connection with the central cloud that can determine whether the protection mark in the image data is destroyed is interrupted, the edge computing node 3 can still independently operate to determine the status of the protection mark in the image data.

[0049] In this embodiment, identifying the situation where the image data of the foundation pit monitoring point shows a protection mark is the key to determining whether the monitoring device buried at the foundation pit monitoring point has been damaged. When the network conditions are poor, use a ping command or professional network testing software to select a CDN node 2 with the smallest network delay, so that the shooting instrument 1 temporarily stores the image data on the CDN node 2 and compresses the image data. When the network environment improves, the CDN node 2 will use its fast and stable data transmission service to quickly upload the compressed image data to the user end for image processing, recognition and judgment.

[0050] When the network environment is poor, CDN node 2 transmits data to edge computing node 3 to determine whether the protection mark in the image data is damaged. If an abnormality is detected, edge computing node 3 will immediately feedback this information to the user end, allowing the user to respond quickly and take necessary protection measures, thereby improving the efficient transmission of image data and the speed and accuracy of judging the protection status of the monitoring point.

[0051] In addition, reference Figure 3 Further, in one embodiment, step S3 is refined into the following sub-steps: S30, the edge computing node 3 receives the monitoring data of the monitoring instrument 4, and determines whether the monitoring data of the monitoring instrument 4 exceeds the safety threshold. If it exceeds the safety threshold, the edge computing node 3 generates an instruction to increase the monitoring frequency of the monitoring instrument 4 and transmits it back to the monitoring instrument 4, and generates monitoring abnormality information and sends it to the user end.

[0052] In this embodiment, when the network environment around the foundation pit is poor, the edge computing node 3 receives the monitoring data in real time and can quickly identify the monitoring data measured by the monitoring instrument 4 to determine whether each monitoring data exceeds the corresponding safety threshold. If the safety threshold is exceeded, the edge computing node 3 will automatically generate an instruction to increase the monitoring frequency of the monitoring instrument 4. By increasing the monitoring frequency of the monitoring instrument 4, the actual situation of the monitoring point can be captured more accurately and feedback can be provided in a timely manner.

[0053] In addition, reference Figure 4 Further, in one embodiment, the step of constructing the foundation pit monitoring point includes: S4. Based on the three benchmark points buried outside the range of three times the excavation depth from the foundation pit edge, a benchmark network is constructed, and several monitoring points are located within the benchmark network.

[0054] In this embodiment, three benchmark points are planned to be buried as benchmark points for deformation observation, with point numbers BM1 to BM3 (the plane and elevation benchmark points are co-points). The benchmark points are all outside the range of 3 times the excavation depth from the foundation pit edge, which can completely cover the entire construction area and ensure that they will not be damaged during the monitoring period. The benchmark point burial method is planned to adopt on-site drilling and burial.

[0055] The stability of the benchmark directly affects the accuracy of the monitoring data. During the excavation of the foundation pit, the stress state of the soil will change, resulting in ground settlement and displacement. Therefore, the benchmark is set outside the range of three times the excavation depth to avoid the impact of the foundation pit excavation on the measurement data of the monitoring instrument 4 in the monitoring point.

[0056] In addition, reference Figure 5 Further, in one embodiment, step S1 is refined into the following sub-steps: S10. The photographing device 1 obtains image data of the buried locations of the pile top horizontal / vertical displacement monitoring points, the surrounding ground, the pipeline vertical displacement monitoring points, the supporting column vertical displacement monitoring points, the supporting axial force monitoring points, the groundwater level monitoring points, and the deep displacement monitoring points, and uploads the image data to the CDN node 2.

[0057] In this embodiment, for the detection technology scheme of the foundation pit of the AH061037 plot on the north side of Shangchong Fruit Tree Park in Haizhu District, the buried position of the pile top horizontal / vertical displacement monitoring point is located at the top of the pile / top of the crown beam of the foundation pit retaining structure (the horizontal and vertical monitoring points are at the same point), and the pile top measuring point is a prefabricated monitoring mark that is buried at the selected position of the pile top or crown beam by punching a hole with an impact drill. The outside of the mark is marked with a circle or square sprayed with red paint, and the point number is sprayed outside the frame. If the site conditions of the pile top or slope top are limited and it is not possible to bury it according to the above method, reflective sheeting can be pasted or small reflective prisms can be installed instead according to the actual situation on site.

[0058] The buried locations of the surrounding ground and pipeline vertical displacement monitoring points are located on the ground near the subway on the east and north sides of the foundation pit. Holes are drilled on the surface of the selected locations with an impact drill, and prefabricated monitoring signs are buried. Circles or squares are sprayed with red paint outside the signs, and dot numbers are sprayed outside the frames. The buried locations of the building vertical displacement monitoring points are located at the corners of the subway wind pavilion on the north side of the foundation pit. Holes are drilled at the selected locations with an impact drill, and prefabricated monitoring signs are buried.

[0059] The buried location of the vertical displacement monitoring point of the supporting column is located on the supporting beam surface at the top of the supporting column. Use an impact drill to drill holes at the selected location and bury the prefabricated monitoring mark. If it is impossible to bury it according to the above method due to site conditions, you can paste reflective sheets or install small reflective prisms instead according to the actual situation on site.

[0060] The buried location of the support axial force monitoring point is located inside the support beam, the dynamometer is installed at about 1 / 3 of the end of the concrete support, and an obvious monitoring mark is set up at the monitoring point location.

[0061] The buried location of the groundwater level monitoring point is located in the soil around the foundation pit. Outside the foundation pit water-stop curtain, the mouth of the water level observation well is surrounded by bricks, and the point number is sprayed with red paint next to it as a monitoring mark.

[0062] The buried location of the inclinometer (deep displacement) monitoring point on the outside of the supporting structure is in the soil outside the foundation pit retaining structure. It is advisable to bury it in a typical position with large deformation (or danger), generally in the middle or positive corner of the foundation pit. The inclinometer pipe mouth is surrounded by bricks, and the point number is sprayed with red paint next to it as a monitoring mark.

[0063] The photographing device 1 photographs the monitoring mark in real time and uses the monitoring mark as a protection mark. When the image of the monitoring mark is incomplete, it is regarded that the protection mark is destroyed.

[0064] In addition, reference Figure 6 Furthermore, in one embodiment, after step S3, there is further added step S31: S31 . The edge computing node 3 generates an alarm instruction and sends the alarm instruction to the alarm instrument to which the monitoring instrument 4 is electrically connected.

[0065] In this embodiment, after receiving the alarm instruction, the alarm device sends out an alarm sound, which can remind the staff located near the monitoring device 4 to check and handle the monitoring device 4 that issued the alarm instruction.

[0066] In addition, reference Figure 7 Furthermore, in one embodiment, before step S30, step S300 is added: S300, a plurality of monitoring instruments 4 respectively obtain monitoring data of the horizontal / vertical displacement of the pile top, and the vertical displacement of the surrounding ground, pipelines, buildings and supporting columns, supporting axial force, groundwater level, and deep displacement.

[0067] Specifically, monitoring the horizontal and vertical displacement of the pile top can timely discover stability problems of the pile foundation, evaluate the impact of foundation pit excavation on the pile foundation, and improve the safety of the pile foundation during construction; horizontal displacement monitoring helps to determine the stability and deformation of the foundation pit support structure, and vertical displacement monitoring can reflect changes in ground settlement and pile foundation bearing capacity.

[0068] Monitoring the vertical displacement of the surrounding ground can evaluate the impact of foundation pit excavation on the surrounding ground, including ground subsidence, cracks, etc., improve the safety of surrounding buildings and infrastructure, and help take timely measures to minimize damage to the surrounding environment caused by ground subsidence; monitoring the vertical displacement of pipelines can evaluate the impact of foundation pit excavation on underground pipelines, reduce the occurrence of damage to underground pipelines, help prevent pipelines from being damaged by ground subsidence or displacement, and minimize impacts on water supply, power supply, gas and other infrastructure; monitoring the vertical displacement of supporting columns can evaluate the stability and bearing capacity of the supporting structure, improve the safety of the foundation pit support system, help to promptly detect abnormalities in the supporting structure, and take measures to minimize foundation pit collapse.

[0069] Monitoring the axial force of the supporting structure can evaluate the stress state of the supporting structure, improve the safety of the supporting structure under the design load, help to adjust the stress state of the supporting structure in time, and try to avoid damage to the supporting structure due to uneven stress.

[0070] Monitoring the groundwater level can evaluate the impact of foundation pit excavation on groundwater, improve the effectiveness of the foundation pit drainage system and the stability of the surrounding environment, and help prevent the impact of groundwater level changes on foundation pit safety and the surrounding environment, such as ground subsidence and groundwater leakage.

[0071] Monitoring the displacement of deep soil can evaluate the impact of foundation pit excavation on the deep soil, improve the stability of the foundation pit support structure and the safety of the surrounding environment, help to timely detect abnormal displacement of deep soil, and take measures to prevent deep soil sliding or collapse.

[0072] In this embodiment, the impact of foundation pit excavation on the supporting structure, surrounding environment, underground pipelines, supporting structure, groundwater level, deep soil, etc. is comprehensively evaluated to improve the safety and stability of foundation pit excavation, reduce the occurrence of safety accidents caused by insufficient monitoring, and improve the safety of foundation pit construction.

[0073] In addition, reference Figure 8 Further, in one embodiment, the safety threshold includes a warning value, a rate of change, and a mean error of the height difference between monitoring points and measuring stations. The step of setting the safety threshold includes: S301. The warning value of the monitoring instrument for monitoring the horizontal displacement of the pile top is set to 24 mm, the change rate is set to 4 mm / d, and the error in the monitoring point coordinates is set to be less than or equal to 1.5 mm.

[0074] Specifically, the polar coordinate method is used. During observation, the reference point is used to measure the working base point, and then the displacement measurement point is observed on the working base point. The difference between the second coordinate and the last coordinate is the single displacement of the point, and the difference between the second coordinate and the first coordinate is the cumulative displacement of the point.

[0075] S302. The warning value of the monitoring instrument for monitoring the vertical displacement of the pile top is set to 24 mm, the change rate is set to 4 mm / d, and the error in the monitoring point coordinates is set to be less than or equal to 0.5 mm.

[0076] Specifically, a closed leveling route is measured from the benchmark point through each monitoring point, and the measurement is carried out according to the third-class accuracy of the "Code for Building Deformation Measurement". The observation limit is set in the level instrument according to the technical requirements, and the instrument automatically records the observation data; after the observation, the observation data is input into the computer for post-processing; the elevation value of each point is obtained through rigorous adjustment on the computer. The difference between the current elevation value and the previous elevation value is the single settlement of the point, and the difference between the current elevation value and the initial elevation value is the cumulative settlement of the point.

[0077] S303. The warning value of the monitoring instrument for monitoring the vertical displacement of the surrounding ground and pipelines is set to 24 mm, the change rate is set to 3 mm / d, and the error in the monitoring point coordinates is set to be less than or equal to 0.5 mm.

[0078] Specifically, it is the same as the pile top vertical displacement monitoring and measurement method.

[0079] S304. The warning value of the monitoring instrument for monitoring the vertical displacement of the building and the supporting columns is set to 16 mm, the change rate is set to 2 mm / d, and the error in the monitoring point coordinates is set to be less than or equal to 0.15 mm.

[0080] Specifically, it is the same as the pile top vertical displacement monitoring and measurement method.

[0081] S305. The warning value of the monitoring instrument for monitoring the supporting axial force is set to 6000 kN.

[0082] Specifically, the manual monitoring method uses the deformation of the support beam after being stressed, and the strain gauge fixed on the steel bar of the support beam generates strain. The strain value of the sensor is read by the reader to calculate the magnitude of the force on the support beam, and the data is recorded in the user terminal. The force value of each measuring point is the average of the force values ​​of the four strain gauges in the section. Automated monitoring sets the time for data collection, and the collection terminal automatically reads and calculates the data.

[0083] S306. The warning value of the monitoring instrument for monitoring the groundwater level is set to 3000 mm, and the change rate is set to 600 mm / d.

[0084] Specifically, the monitoring instrument 4 uses sensors and a fully automated data collection method.

[0085] S307. The warning value of the monitoring instrument for monitoring deep displacement is set to 40 mm, and the change rate is set to 4 mm / d.

[0086] Specifically, manual monitoring method: Observation starts from the bottom of the inclinometer pipe: a) Connect the inclinometer probe, test cable and readout instrument to ensure that the connection and sealing of the inclinometer probe and test cable are good. b) Perform simple calibration at the field measurement site to ensure that the inclinometer has not failed after long-distance transportation: lift the cable, let the probe remain free under the action of gravity, and check whether the measured value is near zero; let the probe tilt about 2cm in a certain direction, and check whether the measured value is close. c) Use a dummy probe to test the continuity and integrity of the guide groove of the measuring pipe installed in the medium. If the guide groove is found to be misplaced or damaged, stop measuring. d) Put the probe all the way to the bottom of the pipe, and set the project name, measuring hole number, measuring hole depth, and measuring direction on the readout instrument. e) Enter the measurement state, record and store the data after the data is stable, issue a command to lift the instrument probe by 0.5m, and record and store the data again after the data is stable; repeat the above steps until the instrument probe is lifted to the mouth of the measuring pipe. f) Take out the instrument probe, turn it 180 degrees, and slowly lower it to the predetermined depth along the opposite direction of the cross-oriented groove of the inclinometer tube to be measured. Repeat the above step e) until the tube mouth is measured, and the data is recorded in the user terminal. For automatic monitoring, you only need to set the integrated collector to collect data regularly.

[0087] In this embodiment, it is necessary to first observe the benchmark network points according to the third-class accuracy of the "Engineering Survey Standards", and then observe each monitoring point within the benchmark network point, collect monitoring data, and clearly define the warning value, change rate value, and error in the coordinates of each monitoring point. The safety issues of the monitoring points are evaluated from multiple aspects to improve the safety of the foundation pit and its surroundings. In addition, reference Fig. 9 Further, in one embodiment, the monitoring frequency is divided into a primary monitoring frequency and a secondary monitoring frequency according to the frequency from low to high, and step S30 is refined into the following sub-steps: S308. When the monitoring value of the foundation pit support structure is relatively stable and there is no obvious change in the excavation condition, the monitoring instrument 4 adopts the first-level monitoring frequency for monitoring.

[0088] S309. When the foundation pit support structure and groundwater level monitoring values ​​are relatively stable, the monitoring instrument 4 adopts the first-level monitoring frequency for monitoring.

[0089] S310: When the deformation exceeds the safety threshold or the site condition exceeds the preset stability range, the monitoring instrument 4 uses the secondary monitoring frequency for monitoring.

[0090] In this embodiment, during the foundation pit monitoring process, the monitoring frequency is further divided to adapt to different site conditions and data stability requirements. When the monitoring data is unstable or the site conditions exceed the preset stability range, switching to a higher frequency secondary monitoring frequency not only increases the density of data collection, but also increases the frequency of collection, thereby obtaining more detailed and frequent monitoring data during the critical period of the foundation pit project, more accurately grasping the real-time status of the foundation pit, and timely identifying and responding to possible construction risks, thereby providing more reliable data support for the safety of the foundation pit project.

[0091] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

Claims

1. A foundation pit monitoring system based on poor network environment, characterized in that: include: A plurality of photographing instruments (1) for photographing image data of foundation pit monitoring points and uploading the image data to a CDN node (2) with the smallest network delay; A CDN node (2) is electrically connected to the plurality of photographing devices (1) and the edge computing node (3), and is used to receive and compress the image data, and transmit the compressed image data to the edge computing node (3); The edge computing node (3) is used to receive and decompress the compressed image data transmitted by the CDN node (2), determine whether the protection mark in the image data is damaged, and if damaged, generate protection abnormality information and send it to the user end.

2. A foundation pit monitoring system based on poor network environment according to claim 1, characterized in that: The edge computing node (3) is electrically connected to the monitoring instrument (4) and is also used to receive monitoring data from the monitoring instrument (4) and determine whether the monitoring data from the monitoring instrument (4) exceeds a safety threshold. If the monitoring data exceeds the safety threshold, the edge computing node (3) generates an instruction to increase the monitoring frequency of the monitoring instrument (4) and transmits it back to the monitoring instrument (4), and generates monitoring abnormality information and sends it to the user end.

3. A foundation pit monitoring method based on poor network environment, characterized in that: A foundation pit monitoring system based on a poor network environment as claimed in any one of claims 1 to 2, comprising: A photographing device (1) photographs image data of a foundation pit monitoring point, and uploads the image data to a CDN node (2) with the smallest network delay; The CDN node (2) receives and compresses the image data, and transmits the compressed image data to the edge computing node (3); The edge computing node (3) receives and decompresses the compressed image data transmitted by the CDN node (2), determines whether the protection mark in the image data is damaged, and if damaged, generates protection abnormality information and sends it to the user end.

4. The method according to claim 3, characterized in that The edge computing node (3) receives and decompresses the compressed image data transmitted by the CDN node (2), determines whether the protection mark in the image data is damaged, and if damaged, generates protection abnormality information and sends it to the user end, and also includes: The edge computing node (3) receives monitoring data from the monitoring instrument (4), and determines whether the monitoring data from the monitoring instrument (4) exceeds a safety threshold. If the monitoring data exceeds the safety threshold, the edge computing node (3) generates an instruction to increase the monitoring frequency of the monitoring instrument (4) and transmits it back to the monitoring instrument (4), and generates monitoring abnormality information and sends it to the user end.

5. The method according to claim 3, characterized in that: The construction of the foundation pit monitoring point includes: A reference network is constructed based on three reference points buried outside the range of three times the excavation depth from the foundation pit edge, and some of the monitoring points are located within the reference network.

6. The method according to claim 5, characterized in that The step of using the photographing device (1) to photograph image data of a foundation pit monitoring point and uploading the image data to a CDN node (2) with the smallest network delay comprises: The photographing instrument (1) obtains image data of the buried locations of pile top horizontal / vertical displacement monitoring points, surrounding ground, pipeline vertical displacement monitoring points, support column vertical displacement monitoring points, support axial force monitoring points, groundwater level monitoring points, and deep displacement monitoring points, and uploads the image data to a CDN node (2).

7. The method according to claim 6, characterized in that The edge computing node (3) receives and decompresses the compressed image data transmitted by the CDN node (2), determines whether the protection mark in the image data is damaged, and if damaged, generates protection abnormality information and sends it to the user end, and further includes: The edge computing node (3) generates an alarm instruction and sends the alarm instruction to an alarm device electrically connected to the monitoring device (4).

8. The method according to claim 4, characterized in that The edge computing node (3) receives the monitoring data of the monitoring instrument (4), determines whether the monitoring data of the monitoring instrument (4) exceeds the safety threshold, and if it exceeds the safety threshold, the edge computing node (3) generates an instruction to increase the monitoring frequency of the monitoring instrument (4) and transmits it back to the monitoring instrument (4), and generates monitoring abnormality information and sends it to the user end before the step, further comprising: The plurality of monitoring instruments (4) respectively obtain monitoring data of the horizontal / vertical displacement of the pile top, as well as the vertical displacement of the surrounding ground, pipelines, buildings and supporting columns, supporting axial force, groundwater level, and deep displacement.

9. The method according to claim 8, characterized in that The safety threshold includes an early warning value, a rate of change, and a mean error of height difference between monitoring points and measuring stations. The steps for setting the safety threshold include: The warning value of the monitoring instrument for monitoring the horizontal displacement of the pile top is set to 24 mm, the change rate is set to 4 mm / d, and the error in the coordinates of the monitoring point is set to be less than or equal to 1.5 mm; The warning value of the monitoring instrument for monitoring the vertical displacement of the pile top is set to 24 mm, the change rate is set to 4 mm / d, and the error in the coordinates of the monitoring point is set to be less than or equal to 0.5 mm; The warning value of the monitoring instrument for monitoring the vertical displacement of the surrounding ground and pipelines is set to 24mm, the change rate is set to 3mm / d, and the error in the coordinates of the monitoring points is set to be less than or equal to 0.5mm; The warning value of the monitoring instrument for monitoring the vertical displacement of buildings and supporting columns is set to 16 mm, the rate of change is set to 2 mm / d, and the error in the coordinates of the monitoring points is set to be less than or equal to 0.15 mm; The warning value of the monitoring instrument for monitoring the support axial force is set to 6000kN; The warning value of the monitoring instrument for monitoring groundwater level is set to 3000 mm, and the change rate is set to 600 mm / d; The warning value of the monitoring instrument for monitoring deep displacement is set to 40mm, and the change rate is set to 4mm / d.

10. The method according to claim 4, characterized in that The monitoring frequency is divided into a primary monitoring frequency and a secondary monitoring frequency according to the frequency from low to high. The edge computing node (3) receives the monitoring data of the monitoring instrument (4), determines whether the monitoring data of the monitoring instrument (4) exceeds the safety threshold, and if it exceeds the safety threshold, the edge computing node (3) generates an instruction to increase the monitoring frequency of the monitoring instrument (4) and transmits it back to the monitoring instrument (4), and generates monitoring abnormality information and sends it to the user end, and further includes: When the monitoring value of the foundation pit support structure is relatively stable and there is no obvious change in the excavation working condition, the monitoring instrument (4) uses the first-level monitoring frequency for monitoring; When the foundation pit support structure and the groundwater level monitoring values ​​are relatively stable, the monitoring instrument (4) uses the first-level monitoring frequency for monitoring; When the deformation exceeds the safety threshold or the site conditions exceed the preset stability range, the monitoring instrument (4) uses a secondary monitoring frequency for monitoring.

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