Pipeline landslide monitoring and early warning method and system

Abstract

The application discloses a pipeline landslide monitoring and early warning method and system, and relates to the technical field of pipeline safety evaluation. The method comprises the following steps: collecting data based on a landslide sample to determine a sampling point; constructing a monitoring system, setting pipeline, soil body and pipe-soil relative relationship monitoring point equipment based on the monitoring system; constructing an early warning system, establishing data connection between the monitoring system and the early warning system, and sending monitoring point collected data to the early warning system through the monitoring system; and when the early warning threshold is exceeded, sending early warning information, wherein the early warning information indicates that the soil body deformation is dangerous to the pipeline. The technical problem that the monitoring and early warning result is poor due to the fact that the influence degree and damage position of soil body deformation on the pipeline cannot be simultaneously and effectively obtained in the prior art is solved, and the technical effect of effectively monitoring the pipe-soil coupling effect under the action of soil body large deformation is achieved.

Description

Technical Field

[0001] This invention relates to the field of pipeline safety evaluation technology, and in particular to a pipeline landslide monitoring and early warning method and system. Background Technology

[0002] Large soil deformation refers to significant deformation (displacement and / or strain) in rock and soil materials, resulting in a highly nonlinear geometric relationship describing the strain-displacement relationship. This manifests as significant differences in the configuration at different times, typically in the form of landslides, ground subsidence, and foundation pit instability and failure. It often causes severe damage to buildings and significant casualties. In the field of long-distance oil and gas pipelines, large deformation of soil in landslide and mining subsidence areas is the most common situation affecting the safety of pipeline operation.

[0003] Safety protection of pipelines in areas of large soil deformation is of great significance for pipeline engineering design, safe operation and disaster prevention and mitigation, but it has not yet been well resolved. One key reason is the lack of effective monitoring methods to fully reflect the mechanical characteristics of pipelines under large soil deformation.

[0004] Existing technologies suffer from the technical problem of failing to simultaneously and effectively obtain the degree of impact of soil deformation on pipelines and the location of damage, resulting in poor monitoring and early warning results. Summary of the Invention

[0005] The purpose of this application is to provide a pipeline landslide monitoring and early warning method and system to address the technical problem in the prior art where the impact of soil deformation on the pipeline and the location of damage cannot be simultaneously and effectively obtained, resulting in poor monitoring and early warning results.

[0006] In view of the above problems, this application provides a method and system for monitoring and early warning of pipeline landslides.

[0007] In a first aspect, this application provides a method for monitoring and early warning of pipeline landslides. The method includes: collecting data based on landslide samples to determine sampling points, wherein the sampling points are landslide areas that meet the characteristics of pipelines in large soil deformation zones; constructing a monitoring system and setting up monitoring point equipment for pipelines, soil, and the relative relationship between the pipeline and soil at the sampling points based on the monitoring system; constructing an early warning system, establishing a data connection between the monitoring system and the early warning system, sending the data collected from the monitoring points to the early warning system through the monitoring system, and processing the data using the data processing module in the early warning system to determine the early warning logic relationship and the early warning threshold; performing early warning analysis on the data collected from the sampling points using the early warning logic relationship and the early warning threshold, and sending early warning information when the early warning threshold is exceeded, wherein the early warning information indicates that soil deformation poses a danger to the pipeline.

[0008] Secondly, this application also provides a pipeline landslide monitoring and early warning system for executing a pipeline landslide monitoring and early warning method as described in the first aspect. The system includes: a sampling point determination module, used to collect data based on landslide samples and determine sampling points, wherein the sampling points are landslide areas that meet the characteristics of pipelines in large soil deformation zones; a monitoring point equipment setting module, used to construct a monitoring system and set monitoring point equipment for pipelines, soil, and the relative relationship between pipes and soil based on the monitoring system; an early warning system construction module, used to construct an early warning system, establish a data connection between the monitoring system and the early warning system, send the data collected from the monitoring points to the early warning system through the monitoring system, and perform data processing using the data processing module in the early warning system to determine the early warning logical relationship and early warning threshold; and an early warning analysis module, used to perform early warning analysis on the data collected from the sampling points using the early warning logical relationship and early warning threshold, and send early warning information when the early warning threshold is exceeded, wherein the early warning information indicates that soil deformation poses a danger to the pipeline.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] The technical solution provided in this application establishes a real-time automatic acquisition and remote transmission system for monitoring data by using fiber optic grating sensing technology to monitor pipe strain, soil deformation, relative displacement between pipe and soil, and surface deformation. It derives the functional relationship between the pipe cross-section strain distribution and the strain at the three monitoring points, the conversion methods between ground beam strain and landslide surface displacement, strain tube strain and landslide deep displacement, soil horizontal strain and soil deformation, and relative displacement between pipe and soil, and proposes early warning thresholds for pipe strain and landslide surface displacement, achieving the technical effect of effectively monitoring the coupling effect between pipe and soil under large soil deformation.

[0011] The above description is merely an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, specific embodiments of this application are given below. Attached Figure Description

[0012] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0013] Figure 1A schematic flowchart illustrating a pipeline landslide monitoring and early warning method provided in this application embodiment;

[0014] Figure 2 This is a flowchart illustrating the process of determining sampling points in a pipeline landslide monitoring and early warning method provided in this application embodiment;

[0015] Figure 3 A schematic diagram illustrating the process of verifying hazard data in a pipeline landslide monitoring and early warning method provided in this application embodiment;

[0016] Figure 4 This is a schematic diagram of the structure of a pipeline landslide monitoring and early warning system provided in an embodiment of this application;

[0017] Figure 5 This is a schematic diagram of the structure of an exemplary electronic device of this application.

[0018] Explanation of reference numerals in the attached drawings: Sampling point determination module 11, monitoring point equipment setting module 12, early warning system construction module 13, early warning analysis module 14, electronic device 300, memory 301, processor 302, communication interface 303, bus architecture 304. Detailed Implementation

[0019] This application provides a pipeline landslide monitoring and early warning method and system to address the technical problem in the prior art where the impact of soil deformation on the pipeline and the location of damage cannot be simultaneously and accurately obtained, resulting in poor monitoring and early warning results.

[0020] The acquisition, storage, use, and processing of data in this application all comply with the relevant provisions of national laws and regulations.

[0021] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. It should be understood that this application is not limited to the exemplary embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application. It should also be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all of them.

[0022] Example 1

[0023] like Figure 1 As shown, this application provides a method for monitoring and early warning of pipeline landslides, the method comprising:

[0024] Step S100: Collect data based on landslide samples and determine sampling points, where the sampling points are landslide areas that meet the characteristics of pipelines in the large deformation zone of soil.

[0025] Among them, such as Figure 2 As shown, step S100 in the method provided in this application embodiment includes:

[0026] Step S110: Obtain the landslide sample set;

[0027] Step S120: Perform preliminary screening of the landslide sample set according to the external characteristics of the landslides;

[0028] Step S130: Monitor the landslide sample set initially screened according to the preset monitoring requirements and obtain sample monitoring data;

[0029] Step S140: Based on the sample monitoring data, landslide characteristics are assessed for each landslide sample to determine the sampling point, which is the sample with the highest landslide characteristic assessment result.

[0030] Specifically, landslides that may affect the safe operation of pipelines along the Lanzhou-Chengdu-Chongqing and Zhongwu lines were used as landslide samples. The landslide samples included nearly 100 landslides. Four typical landslides were initially selected from these nearly 100 landslides. Finally, landslide areas that met the characteristics of pipelines in large soil deformation zones were selected from the four typical landslides as sampling points.

[0031] Specifically, the landslide sample set was first obtained. The landslide sample set is a data collection of nearly 100 landslides that may affect the safe operation of pipelines along the Lanzhou-Chengdu-Chongqing and Zhongwu lines. The landslide sample set was initially screened according to the external characteristics of the landslides. Based on comprehensive considerations such as rainwater, terrain, and groundwater, four typical landslides were selected from the landslide sample set.

[0032] According to the preset monitoring requirements, the landslide sample set initially screened was monitored. The preset monitoring requirements included: soil deformation monitoring, physical and chemical field monitoring, groundwater and inducing factors monitoring, and sample monitoring data were obtained. The sample monitoring data was obtained from monitoring the four typical landslides initially screened from four aspects: soil deformation monitoring, physical and chemical field monitoring, groundwater and inducing factors. However, in the actual production application of monitoring in the pipeline large deformation area, the monitoring cost, benefits and the maturity of related monitoring technologies need to be considered. Generally, only soil deformation and inducing factors are monitored. Various monitoring technologies exist for large soil deformation. The appropriate technology must be selected based on factors such as pipeline route environment, monitoring accuracy, and economic cost. For soil deformation zones with poor stability and significant impact on the pipeline, real-time monitoring is recommended. However, since many of the large soil deformation zones along the pipeline route are in sparsely populated remote mountainous areas with poor support environments such as transportation, personnel, electricity, and communication, it is inconvenient and costly to arrange for monitoring personnel to reside on-site long-term or periodically collect data. To monitor the safety status of both the large soil deformation zones and the pipeline in real time, a technology capable of remote, real-time, and automatic monitoring is needed, employing a total station. Further, landslide characteristic assessments are conducted on each landslide sample based on the sample monitoring data. The assessment considers four aspects: soil deformation, physical and chemical fields, groundwater, and triggering factors. The more numerous and pronounced the characteristics of soil deformation, physical and chemical fields, groundwater, and triggering factors in each landslide sample, the higher the corresponding assessment result. Sampling points are determined based on these characteristics, and these sampling points represent the samples with the highest landslide characteristic assessment results.

[0033] Step S200: Construct a monitoring system and set up monitoring point equipment for pipelines, soil, and pipe-soil relative relationships at sampling points based on the monitoring system;

[0034] In this embodiment, step S200 further includes:

[0035] Step S210: Establish a laboratory measurement system;

[0036] Step S220: Using the experimental results of the laboratory measurement system, obtain the fiber optic temperature sensor and strain sensor;

[0037] Step S230: Set up a GPS receiver at the deformation monitoring point of the sampling point. The GPS receiver is connected to the monitoring equipment at each monitoring point. The monitoring equipment includes a fiber optic temperature sensor and a strain sensor.

[0038] Specifically, the monitoring system was designed by first establishing a small measurement system and conducting experiments in the laboratory to ensure the feasibility of the detection. The monitoring and early warning content and technology for large soil deformation were investigated and analyzed. The monitoring and early warning content and technology applicable to pipeline environment and safety requirements were analyzed. The design and fabrication of fiber optic temperature sensors and strain sensors that can meet the field monitoring environment of pipeline natural disasters were completed, and indoor experimental research was conducted.

[0039] Specifically, a laboratory measurement system is first established. For example, the establishment process is as follows: all sensors are divided into 23 channels for monitoring; optical switches are used to cyclically connect the 23 channels to the demodulator to complete strain detection in each optical path; sensor monitoring data is saved to a text file on the host computer, and the host computer program is responsible for periodically transmitting the text file remotely. The data transmission process includes uploading by the host computer, GPRS transmission, and receiving by the terminal. The data uploading software periodically saves strain data files and reads newly recorded data, converts it into an uploadable data format, and then sends it to the GPRS template for transmission. Using the experimental results of the laboratory measurement system, a fiber optic temperature sensor and a strain sensor capable of meeting the requirements of pipeline natural disaster field monitoring environments are designed and manufactured. The fiber optic temperature sensor and strain sensor are obtained. The photosensitivity in optical fiber refers to the characteristic that when laser light passes through a doped optical fiber, the refractive index of the fiber changes accordingly with the spatial distribution of light intensity. The spatial phase grating formed within the fiber core essentially creates a narrow band (transmission or reflection) within the fiber core. A GPS receiver is installed at the deformation monitoring point of the sampling point using a filter or reflector. The GPS receiver is connected to the monitoring equipment at each monitoring point, including fiber Bragg grating temperature sensors and strain sensors. In other words, the GPS receiver communicates with the fiber Bragg grating temperature sensors and strain sensors, enabling interactive information transmission. The preparation work for GPS monitoring is basically the same as that for total station monitoring. The difference is that when using GPS monitoring, the structure of the monitoring pier at the deformation monitoring point is the same as the reference pier structure for total station monitoring. This is because a GPS receiver also needs to be installed at the deformation monitoring point. The GPS monitoring reference point and each deformation monitoring point do not need to be line-of-sight and can be a considerable distance apart, but the surrounding area should be as open as possible to avoid affecting satellite signal reception.

[0040] Step S300: Construct an early warning system, establish a data connection between the monitoring system and the early warning system, send the data collected by the monitoring points to the early warning system through the monitoring system, and use the data processing module in the early warning system to process the data, determine the early warning logic relationship and the early warning threshold;

[0041] The early warning system includes a data acquisition module, a GPRS module, and a data analysis module. In this embodiment, step S300 further includes:

[0042] Step S310: Establish a multi-site integrated monitoring system for pipelines in the large deformation zone of the soil;

[0043] Step S320: Collect monitoring point data through the multi-integrated monitoring system and synchronize it to the data acquisition module; send the monitoring point data to the data analysis module via the GPRS module.

[0044] Step S330: The data analysis module automatically processes and analyzes the received monitoring point data, obtains the data analysis results, and publishes the data analysis results via the web.

[0045] Specifically, a data connection is established between the monitoring system and the early warning system. The monitoring system transmits data collected from monitoring points to the early warning system, which consists of two parts: a field monitoring section and a data acquisition and processing section. The field monitoring section comprises various monitoring instruments installed in the large deformation zone of the soil and on the pipe body; the data acquisition and processing section consists of a field monitoring data acquisition system, a data transmission system, and an indoor data processing and early warning system. Based on the multi-dimensional monitoring and early warning technology for pipelines in large deformation zones of soil, a seven-in-one monitoring and early warning scheme based on fiber optic grating technology was established. A monitoring and early warning demonstration project was also established. A seven-in-one monitoring and early warning scheme for a pipeline in a deformation zone was designed, and a monitoring and early warning demonstration project was established. A monitoring station was established on-site, realizing real-time data acquisition and remote transmission. Data acquisition and analysis software was developed. The connection between monitoring points and the monitoring station was achieved through overhead optical cables. The control of the monitoring station is completed by a fanless industrial control computer and software, and data transmission is completed by a GPRS module.

[0046] Specifically, a multi-site integrated monitoring system for pipelines in the large deformation zone of the soil was established. This system includes: six key monitoring sections for pipe strain, each equipped with three strain sensors; six force monitoring points at the interface between the pipe and the landslide, using earth pressure sensors installed at the same locations as the pipe strain; four deep landslide displacement monitoring points, using strain gauges installed in vertical boreholes within the landslide, with a total strain gauge length of 158m; and two surface displacement monitoring lines for the landslide, using ground beams equipped with strain sensors, with a total ground beam length of 288m. The system also incorporates 166 fiber optic grating sensors. Data from these monitoring points is then collected by the multi-site integrated monitoring system and synchronized to a data acquisition module, which includes an automatic acquisition device, an automatic transmission device, and a data analysis and early warning system. During data acquisition, on-site sensors are connected to the strain analyzer via an optical conversion switch. Under the control of the on-site host computer, the strain analyzer detects the strain of the sensors and transmits the strain data to the host computer. During data transmission, the host computer uploads the monitoring data to the transmitter, which then transmits the data to the receiver using a GPRS signal. The lower-level computer downloads data from the receiver and analyzes it. The data analysis module automatically processes and analyzes the received monitoring point data, obtains the data analysis results, and publishes the results via the web. Specifically, monitoring instruments installed on disaster sites and pipelines acquire information such as disaster site deformation and pipeline stress. This information is collected by automatic acquisition devices and transmitted to the indoor control system via a data transmission system (such as GPRS, radio, etc.). The control system automatically processes and analyzes the data and can publish the monitoring information in real time or periodically via the web. The early warning logic is as follows: when early warning parameters such as soil deformation and pipeline stress exceed preset thresholds, the system issues an alarm to remind the administrator to take measures. Pipeline data detection is achieved through automatic data acquisition technology, data transmission and reception systems, data processing technology, and data distribution technology.

[0047] Step S400: Analyze the data collected at the sampling points using the aforementioned early warning logic relationship and early warning threshold. When the early warning threshold is exceeded, send an early warning message. The early warning message indicates that soil deformation poses a danger to the pipeline.

[0048] Specifically, this study analyzes the stress and deformation characteristics of pipelines under large soil deformation and its influence, proposes pipe stress thresholds and landslide deformation thresholds, and conducts multiple data acquisitions and analyses on a multi-site integrated pipeline displacement monitoring system in landslide deformation zones to predict the danger posed by soil deformation to pipelines. The study also determines the relationships between strain, temperature, and wavelength, pipe strain data, soil pressure sensor data, landslide surface displacement data, deep landslide displacement data, and landslide deformation early warning thresholds. When these thresholds are exceeded, an early warning message is sent, indicating a danger posed by soil deformation to the pipeline, thus assisting personnel in avoiding hazards.

[0049] Among them, such as Figure 3 As shown, step S500 in this embodiment includes:

[0050] Step S510: Use a movable inclinometer to monitor the deep displacement of the landslide at the sampling point and obtain depth displacement monitoring information;

[0051] Step S520: Set up the GPS surface monitoring system to monitor surface displacement and obtain surface monitoring information;

[0052] Step S530: Use the depth displacement monitoring information and surface monitoring information to verify the hazard data in the early warning information.

[0053] Specifically, the landslide displacement and surface displacement based on this technology are verified. A mobile inclinometer is selected to verify the deep displacement monitoring of the landslide, and the verification results are used as the deep displacement monitoring information. A GPS system is selected to verify the surface monitoring displacement, and the verification results are used as the surface monitoring information. The deep displacement monitoring information and the obtained surface monitoring information are used to verify the hazard data in the early warning information to verify whether the early warning information is accurate.

[0054] In this embodiment, step S520 further includes:

[0055] Step S521: Based on the landslide at the sampling points, determine the benchmark monitoring points and deformation monitoring points;

[0056] Step S522: Install displacement monitoring devices at the reference monitoring point and deformation monitoring point respectively.

[0057] Specifically, based on the landslide at the sampling point, benchmark monitoring points and deformation monitoring points were determined, and displacement monitoring equipment was installed at the benchmark monitoring points and deformation monitoring points respectively. For example, the surface displacement of the landslide was monitored using a GPS system with a monitoring accuracy of 5mm, which basically met the verification requirements. Nine GPS monitoring piers were set up at the Erlangmiao landslide, including three benchmark points and six deformation points. The three benchmark points were set on the stable bedrock opposite the landslide, with good visibility. Four of the deformation points were approximately coincident with the orifice of the inclinometer, and the remaining two deformation points were set at the upper part of the landslide body.

[0058] The multi-position integrated monitoring system includes a pipe strain monitoring unit, a pipe-landslide interface force monitoring unit, a landslide deep displacement monitoring unit, and a ground beam monitoring unit. Step S600 in this embodiment further includes:

[0059] Step S610: The pipe strain, soil deformation, relative displacement between pipe and soil and surface deformation are monitored by the pipe strain monitoring unit, the pipe-landslide interface force monitoring unit, the landslide deep displacement monitoring unit and the ground beam monitoring unit, respectively, to obtain multiple monitoring data.

[0060] Step S620: Analyze the historical monitoring data from multiple locations, and fit the functional relationship between the strain distribution of the pipe section and the monitored strain, the conversion relationship between the ground beam strain and the surface displacement of the landslide, the conversion relationship between the pipe strain and the deep displacement of the landslide, the conversion relationship between the horizontal strain of the soil and the deformation of the soil, and the conversion relationship between the relative displacement of the pipe and the soil.

[0061] Step S630: Based on the functional relationship between the strain distribution of the pipe section and the monitored strain, the conversion relationship between the ground beam strain and the surface displacement of the landslide, the conversion relationship between the pipe strain and the deep displacement of the landslide, the conversion relationship between the horizontal strain of the soil and the deformation of the soil, and the conversion relationship between the relative displacement of the pipe and the soil, combined with historical monitoring data from multiple locations, analyze the pipe strain and the surface displacement of the landslide to determine the early warning thresholds for the pipe strain force and the surface displacement of the landslide.

[0062] Specifically, the pipe strain monitoring unit includes six key monitoring sections for pipe strain, with three strain sensors installed at each section; the pipe-landslide interface force monitoring unit includes six force monitoring points at the pipe-landslide interface, using earth pressure sensors installed at the same locations as the pipe strain; the landslide deep displacement monitoring unit includes four landslide deep displacement monitoring points, using strain tubes installed in vertical boreholes in the landslide, with a total strain tube length of 158m; the ground beam monitoring unit includes two landslide surface displacement monitoring lines, using ground beams equipped with strain sensors, with a total ground beam length of 288m. Through the pipe strain monitoring unit, the pipe-landslide interface force monitoring unit, the landslide deep displacement monitoring unit, and the ground beam monitoring unit, pipe strain, soil deformation, relative displacement between pipe and soil, and surface deformation are monitored, obtaining multi-dimensional monitoring data. By analyzing historical monitoring data from multiple locations, a functional relationship between the strain distribution of the pipe cross-section and the monitored strain was fitted. The functional relationship is as follows: Under normal bending conditions of the pipe, the total strain distribution of the pipe cross-section can be obtained by measuring the strain at three points distributed at 90° on the pipe cross-section.

[0063]

[0064] Where, σ a2mar θ represents the maximum axial stress generated by pure bending deformation in the pipe body, located at the intersection of the line of action of the resultant force of the soil thrust (the component perpendicular to the pipe axis) and the pipe body; θ represents the angle of intersection between the direction of the resultant force and the horizontal line (pointing to the 3 o'clock direction); a represents the axial stress of the pipe body at the 12 o'clock position (MPa); b represents the axial stress of the pipe body at the 9 o'clock position (MPa); c represents the axial stress of the pipe body at the 3 o'clock position (MPa).

[0065] Based on the functional relationship between the strain distribution of the pipe section and the monitored strain, the conversion relationship between strain and displacement can be obtained. That is, the conversion relationship between the ground beam strain and the surface displacement of the landslide, the conversion relationship between the pipe strain and the deep displacement of the landslide, the conversion relationship between the horizontal strain of the soil and the deformation of the soil, and the conversion relationship between the relative displacement of the pipe and the soil are mapped onto the functional relationship between the strain distribution of the pipe section and the monitored strain.

[0066] Based on this, by combining historical monitoring data from multiple sources, we conducted analysis on pipeline strain and landslide surface displacement to determine the early warning thresholds for pipeline strain and landslide surface displacement.

[0067] In summary, the pipeline landslide monitoring and early warning method provided in this application has the following technical effects:

[0068] This application proposes a pipeline landslide monitoring and early warning method. Based on fiber optic grating sensing technology, it monitors pipe strain, soil deformation, relative pipe-soil displacement, and surface deformation. A real-time automatic data acquisition and remote transmission system is established. The functional relationship between pipe cross-sectional strain distribution and three-point monitoring strain is derived. Conversion methods are established for ground beam strain and landslide surface displacement, strain tube strain and landslide deep displacement, soil horizontal strain and soil deformation, and relative pipe-soil displacement. Early warning thresholds for pipeline strain and landslide surface displacement are proposed, achieving the technical effect of effectively monitoring the pipe-soil coupling effect under large soil deformation.

[0069] Example 2

[0070] Based on the same inventive concept as the pipeline landslide monitoring and early warning method in the foregoing embodiments, such as Figure 4 As shown, this application also provides a pipeline landslide monitoring and early warning system, the system comprising:

[0071] The sampling point determination module 11 is used to collect data based on landslide samples and determine sampling points, wherein the sampling points are landslide areas that meet the characteristics of pipelines in large soil deformation zones.

[0072] The monitoring point equipment setting module 12 is used to construct a monitoring system and set up monitoring point equipment for pipelines, soil and pipe-soil relative relationships at sampling points based on the monitoring system.

[0073] The early warning system construction module 13 is used to construct an early warning system, establish a data connection between the monitoring system and the early warning system, send data collected from monitoring points to the early warning system through the monitoring system, and use the data processing module in the early warning system to process the data, determine the early warning logic relationship and the early warning threshold.

[0074] The early warning analysis module 14 is used to perform early warning analysis on the data collected from the sampling points using the early warning logic relationship and early warning threshold. When the early warning threshold is exceeded, an early warning message is sent. The early warning message indicates that the soil deformation poses a danger to the pipeline.

[0075] Furthermore, the system also includes:

[0076] A landslide sample set acquisition module, which is used to acquire a landslide sample set;

[0077] A preliminary screening module is used to perform preliminary screening on the landslide sample set according to the external characteristics of the landslide.

[0078] The sample monitoring module is used to monitor the landslide sample set initially screened according to preset monitoring requirements and obtain sample monitoring data.

[0079] The landslide feature assessment module is used to assess the landslide features of each landslide sample based on the sample monitoring data and determine the sampling point, which is the sample with the highest landslide feature assessment result.

[0080] The preset monitoring requirements include: soil deformation monitoring, physical and chemical field monitoring, groundwater and inducing factor monitoring.

[0081] Furthermore, the system also includes:

[0082] A laboratory measurement system establishment module, which is used to establish a laboratory measurement system;

[0083] The sensor acquisition module is used to obtain fiber optic temperature sensors and strain sensors using the experimental results of the laboratory measurement system.

[0084] GPS receiver mounting module, the GPS receiver mounting module is used to mount GPS receivers at deformation monitoring points of sampling points, the GPS receivers are connected to monitoring equipment at each monitoring point, wherein the monitoring equipment includes fiber optic temperature sensors and strain sensors.

[0085] Furthermore, the system also includes:

[0086] A multi-position integrated monitoring system establishment module is used to establish a multi-position integrated monitoring system for pipelines in the large deformation zone of soil.

[0087] The data transmission module is used to collect monitoring point data through the multi-integrated monitoring system and synchronize it to the data acquisition module, and then send the monitoring point data to the data analysis module through the GPRS module.

[0088] The data analysis results publishing module is used by the data analysis module to automatically process and analyze the received monitoring point data, obtain data analysis results, and publish the data analysis results via the web.

[0089] Furthermore, the system also includes:

[0090] A deep displacement monitoring module is used to monitor the deep displacement of the landslide at the sampling point using a movable inclinometer, and to obtain depth displacement monitoring information.

[0091] A surface displacement monitoring module is used to set up a GPS surface monitoring system to monitor surface displacement and obtain surface monitoring information.

[0092] A hazard data verification module is used to verify the hazard data in the early warning information using the depth displacement monitoring information and the obtained surface monitoring information.

[0093] Furthermore, the system also includes:

[0094] The monitoring point determination module is used to determine the benchmark monitoring point and deformation monitoring point based on the landslide at the sampling point;

[0095] A displacement monitoring device setting module is used to set displacement monitoring devices at the reference monitoring point and the deformation monitoring point respectively.

[0096] Furthermore, the system also includes:

[0097] The multi-position monitoring data acquisition module is used to monitor the pipe strain, soil deformation, pipe-soil relative displacement and surface deformation through the pipe strain monitoring unit, the pipe-landslide interface force monitoring unit, the landslide deep displacement monitoring unit and the ground beam monitoring unit, respectively, and obtain multi-position monitoring data.

[0098] The multi-location monitoring historical data analysis module is used to analyze multi-location monitoring historical data and fit the functional relationship between the strain distribution of the pipe section and the monitored strain, the conversion relationship between the ground beam strain and the surface displacement of the landslide, the conversion relationship between the pipe strain and the deep displacement of the landslide, the conversion relationship between the horizontal strain of the soil and the deformation of the soil, and the conversion relationship between the relative displacement of the pipe and the soil.

[0099] The early warning threshold determination module is used to analyze pipeline strain and landslide surface displacement based on the functional relationship between the strain distribution of the pipe section and the monitored strain, the conversion relationship between the ground beam strain and the landslide surface displacement, the conversion relationship between the pipe strain and the deep displacement of the landslide, the conversion relationship between the horizontal strain of the soil and the deformation of the soil, and the conversion relationship between the relative displacement of the pipe and the soil, combined with historical monitoring data from multiple locations, to determine the early warning thresholds for pipeline strain and landslide surface displacement.

[0100] Example 3

[0101] Based on the same inventive concept as the pipeline landslide monitoring and early warning method in the foregoing embodiments, such as Figure 5 As shown, this application also provides an electronic device 300, which includes a memory 301 and a processor 302. The memory 301 stores a computer program, and when the calculator program is executed by the processor 302, it implements the steps of a method of the embodiment.

[0102] The electronic device 300 includes a processor 302, a communication interface 303, and a memory 301. Optionally, the electronic device 300 may also include a bus architecture 304. The communication interface 303, processor 302, and memory 301 can be interconnected via the bus architecture 304; the bus architecture 304 can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus architecture 304 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0103] Processor 302 may be a CPU, microprocessor, ASIC, or one or more integrated circuits used to control the execution of programs according to the present application.

[0104] Communication interface 303 uses any transceiver-like device for communicating with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area network (WLAN), wired access network, etc.

[0105] Memory 301 may be ROM or other types of static storage devices capable of storing static information and instructions, RAM or other types of dynamic storage devices capable of storing information and instructions, or electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto. Memory may exist independently and be connected to the processor via bus architecture 304. Memory may also be integrated with the processor.

[0106] The memory 301 stores computer execution instructions for implementing the scheme of this application, and its execution is controlled by the processor 302. The processor 302 executes the computer execution instructions stored in the memory 301, thereby implementing the steps of the method in the above embodiment one of this application.

[0107] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Figure 1 The pipeline landslide monitoring and early warning method and specific examples in Embodiment 1 are also applicable to the pipeline landslide monitoring and early warning system in this embodiment. Through the foregoing detailed description of the pipeline landslide monitoring and early warning method, those skilled in the art can clearly understand the pipeline landslide monitoring and early warning system in this embodiment; therefore, for the sake of brevity, it will not be described in detail here. As for the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant details can be found in the method section.

[0108] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for monitoring and early warning of pipeline landslides, characterized in that, The method includes: Data was collected based on landslide samples to determine sampling points, where the sampling points were landslide areas that met the characteristics of pipelines in the large deformation zone of the soil. Construct a monitoring system, and based on the monitoring system, set up monitoring point equipment for pipelines, soil, and the relative relationship between pipes and soil at sampling points; An early warning system is constructed, and a data connection is established between the monitoring system and the early warning system. Data collected from monitoring points is sent to the early warning system through the monitoring system, and the data processing module in the early warning system is used to process the data to determine the early warning logic relationship and the early warning threshold. The data collected from the sampling points is analyzed using the aforementioned early warning logic and early warning threshold. When the early warning threshold is exceeded, an early warning message is sent, which indicates that soil deformation poses a danger to the pipeline. The method further includes: The deep displacement monitoring information of the landslide at the sampling point was obtained by using a mobile inclinometer. A GPS surface monitoring system is set up to monitor surface displacement and obtain surface monitoring information; The depth displacement monitoring information and surface monitoring information are used to verify the hazard data in the early warning information; The GPS surface monitoring system includes: Based on the landslide at the sampling point, the benchmark monitoring point and deformation monitoring point were determined; Displacement monitoring devices were installed at the reference monitoring point and the deformation monitoring point, respectively.

2. The method as described in claim 1, characterized in that, The data collection based on landslide samples and the determination of sampling points include: Obtain a landslide sample set; The landslide sample set was initially screened based on the external characteristics of the landslides. The landslide sample set initially screened was monitored according to the preset monitoring requirements to obtain sample monitoring data; Based on the sample monitoring data, landslide characteristics are assessed for each landslide sample to determine sampling points, which are the samples with the highest landslide characteristic assessment results.

3. The method as described in claim 2, characterized in that, The preset monitoring requirements include: soil deformation monitoring, physical and chemical field monitoring, groundwater and inducing factor monitoring.

4. The method as described in claim 1, characterized in that, The construction of the monitoring system includes: Establish a laboratory measurement system; Using the experimental results of the laboratory measurement system, fiber optic temperature sensors and strain sensors were obtained; A GPS receiver is installed at the deformation monitoring point of the sampling point. The GPS receiver is connected to the monitoring equipment at each monitoring point, wherein the monitoring equipment includes a fiber optic temperature sensor and a strain sensor.

5. The method as described in claim 1, characterized in that, The early warning system includes a data acquisition module, a GPRS module, and a data analysis module; the method further includes: Establish a multi-site integrated monitoring system for pipelines in the large deformation zone of soil; The monitoring point data is collected by the multi-integrated monitoring system and synchronized to the data acquisition module. The monitoring point data is then sent to the data analysis module via the GPRS module. The data analysis module automatically processes and analyzes the received monitoring point data, obtains the data analysis results, and publishes the data analysis results via the web.

6. The method as described in claim 5, characterized in that, The multi-position integrated monitoring system includes a pipe strain monitoring unit, a pipe-landslide interface force monitoring unit, a landslide deep displacement monitoring unit, and a ground beam monitoring unit. The method further includes: The pipe strain, soil deformation, relative displacement between pipe and soil, and surface deformation were monitored by the pipe strain monitoring unit, the pipe-landslide interface force monitoring unit, the landslide deep displacement monitoring unit, and the ground beam monitoring unit, respectively, and multiple monitoring data were obtained. Analysis of historical monitoring data from multiple locations was conducted to fit the functional relationship between the strain distribution of the pipe section and the monitored strain, the conversion relationship between the ground beam strain and the surface displacement of the landslide, the conversion relationship between the pipe strain and the deep displacement of the landslide, the conversion relationship between the horizontal strain of the soil and the deformation of the soil, and the conversion relationship between the relative displacement of the pipe and the soil. Based on the functional relationship between the strain distribution of the pipe section and the monitored strain, the conversion relationship between the ground beam strain and the surface displacement of the landslide, the conversion relationship between the pipe strain and the deep displacement of the landslide, the conversion relationship between the horizontal strain of the soil and the deformation of the soil, and the conversion relationship between the relative displacement of the pipe and the soil, combined with historical monitoring data from multiple locations, the pipe strain and the surface displacement of the landslide are analyzed to determine the early warning thresholds for the pipe strain force and the surface displacement of the landslide.

7. A pipeline landslide monitoring and early warning system, characterized in that, The system is used to perform the pipeline landslide monitoring and early warning method according to any one of claims 1 to 6, the system comprising: The sampling point determination module is used to collect data based on landslide samples and determine sampling points, wherein the sampling points are landslide areas that meet the characteristics of pipelines in the large deformation zone of soil. The monitoring point equipment setting module is used to construct a monitoring system and set up monitoring point equipment for pipelines, soil and pipe-soil relative relationships at sampling points based on the monitoring system. The early warning system construction module is used to construct the early warning system, establish a data connection between the monitoring system and the early warning system, send data collected from monitoring points to the early warning system through the monitoring system, and process the data using the data processing module in the early warning system to determine the early warning logic relationship and early warning threshold. The early warning analysis module is used to perform early warning analysis on the data collected from the sampling points using the early warning logic relationship and early warning threshold. When the early warning threshold is exceeded, an early warning message is sent, which indicates that the soil deformation poses a danger to the pipeline.

8. An electronic device, characterized in that, The electronic device includes a memory and a processor, wherein the memory stores a computer program that, when executed by the processor, implements the steps of the method according to any one of claims 1-6.

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