An outdoor pipe network construction supervision method and system based on big data

Abstract

The present application belongs to the technical field of pipe network construction, and particularly relates to an outdoor pipe network construction supervision method based on big data. The method comprises the following steps: acquiring real-time pipe construction data, performing offset verification on the real-time pipe construction data, judging whether the pipe position exceeds the preset allowable range, triggering a first risk response if the pipe position exceeds the preset allowable range, and continuously assessing the risk based on the real-time pipe construction data if the pipe position does not exceed the preset allowable range; after the pipe is buried, judging whether the pipe enters a risk state based on the continuous risk assessment result, and triggering a maintenance adjustment operation if the pipe enters the risk state. The present application constructs a safety zone model and a construction zone model based on pipe coordinates and elevations, compares the real-time pipe construction data with the vertical elevation information, generates a risk assessment report, realizes fine supervision throughout the whole process, and ensures that the offset value is always within the preset allowable range.

Description

Technical Field

[0001] This invention belongs to the field of pipeline construction technology, specifically relating to a method and system for monitoring outdoor pipeline construction based on big data. Background Technology

[0002] With the continuous acceleration of urbanization, the construction quality and operational safety of outdoor pipeline networks are directly related to the normal functioning of cities and the stable operation of public services. Existing methods for supervising the construction of outdoor pipeline networks are insufficient to meet the needs of modern engineering for refined and intelligent management. Traditional regulatory models rely on manual inspections and experience-based judgment, lacking real-time sensing capabilities and exhibiting time lags in the regulatory process. This makes it impossible to dynamically respond to and intervene in unforeseen situations at the construction site. During pipeline laying, hidden deformations such as displacement, subsidence, and warping are difficult to detect in a timely manner through conventional methods. These minor construction deviations, if not effectively corrected, can easily evolve into structural failures during subsequent operation, causing auxiliary equipment to malfunction. Furthermore, the lack of a systematic data collection and intelligent analysis architecture prevents the effective integration of multi-source heterogeneous information during construction, resulting in a lack of scientific basis for regulatory decisions, difficulty in closed-loop control of construction quality, and hindering the improvement of construction efficiency, thus creating hidden dangers in project safety and quality assurance.

[0003] In view of this, this application proposes a method and system for supervising the construction of outdoor pipeline networks based on big data. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for supervising outdoor pipeline construction based on big data, so as to realize dynamic monitoring and risk identification of deviation during pipeline construction, and effectively prevent equipment damage and pipeline deployment deviation from the preset path caused by risk factors during pipeline construction.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: A big data-based method for supervising the construction of outdoor pipeline networks includes: acquiring real-time pipeline construction data, performing offset verification on the real-time pipeline construction data, determining whether the pipeline location exceeds a preset allowable range, triggering a first risk response if the pipeline location exceeds the preset allowable range, and conducting continuous risk assessment based on the real-time pipeline construction data if the pipeline location does not exceed the preset allowable range. Once the pipeline is installed in the ground, based on the results of the ongoing risk assessment, it is determined whether the pipeline has entered a risky state. If the pipeline has entered a risky state, maintenance and adjustment operations are triggered.

[0006] As a further description of the above technical solution: Obtaining real-time pipeline construction data and performing offset verification on the real-time pipeline construction data includes: comparing the real-time pipeline construction data with the vertical elevation information to obtain offset data, and determining whether the offset data is within the allowable range defined by the safety zone model.

[0007] As a further description of the above technical solution: The first risk response includes: issuing an alarm and generating a first risk assessment report; The process of generating the first risk assessment report includes: collecting the current construction center point location, generating an envelope region that matches the shape of the pipeline, and defining the envelope region as the current safe zone; If the offset data is located outside the current safe zone, the offset data will be enveloped to the construction area with the same shape. Sampling points will be generated with the contact point between the outer boundary of the current safe zone and the area where the offset data is located as the base point. The distance between the sampling point and the center point of the current safe zone will be calculated as the basis for evaluation. The outer boundary of the current safe zone includes the top boundary, the bottom boundary and the two side boundaries.

[0008] As a further description of the above technical solution: Continuous risk assessment based on real-time pipeline construction data includes: collecting verification data from multiple preset time periods, filtering and processing the verification data, removing abnormal data whose values ​​deviate from preset statistical thresholds, sorting the remaining verification data, and recording trend change values. The sorted verification data is analyzed to generate a second risk assessment report, which determines the safety of the pipeline location information.

[0009] As a further description of the above technical solution: The process of collecting verification data from multiple preset time periods and filtering the verification data includes: sorting multiple offset data, obtaining the offset data with the smallest offset value as the baseline value, generating a sampling collection area centered on the baseline value, summarizing multiple verification data within the sampling collection area, calculating the fluctuation variance of the verification data, determining the values ​​with fluctuation variance greater than a preset fluctuation threshold as reference values, and based on the reference values, removing discrete values ​​as outliers within a preset range to determine the remaining part as valid verification data.

[0010] As a further description of the above technical solution: The process of analyzing the sorted verification data to generate a second risk assessment report includes: arranging the valid verification data in chronological order, obtaining the earliest timestamp of the valid verification data as the baseline value, comparing subsequent valid verification data with the baseline value, calculating the fluctuation range, determining the difference between the fluctuation range and the baseline value as a parameter, and calculating the permissible range of pipeline variation based on the parameter and the current elevation and horizontal position data of the pipeline.

[0011] As a further description of the above technical solution: Continuous risk assessment based on real-time pipeline construction data also includes: summarizing data points within the permissible range of pipeline variation, generating real-time change values, comparing the real-time change values ​​with the permissible range of pipeline variation to determine whether there is a deviation from the safe zone. If there is no deviation, a safety report without risk is output; if there is a deviation, a warning report with risk is output.

[0012] As a further description of the above technical solution: Based on the results of continuous risk assessment, determining whether a pipeline has entered a risky state includes: obtaining a third risk assessment report. The generation of the third risk assessment report includes calculating the theoretical depth based on the vertical entry point, horizontal entry distance, and preset entry angle of the pipeline on site, comparing the difference between the theoretical depth and the actual entry depth with the allowable deviation range, and obtaining the judgment result. Based on subsequent construction offset data, determine whether the pipeline has entered a risky state.

[0013] As a further description of the above technical solution: Maintenance and adjustment operations include: when a pipeline enters a risky state, intervention pipeline maintenance equipment performs adjustment operations; Among them, the risk status includes: the current offset value in the subsequent construction offset data exceeds the limit value of downward offset after the pipeline construction is completed, or the change value reflected by the offset data continuously monitored according to the preset time period exceeds the preset stability threshold, which is judged as an unstable status.

[0014] An outdoor pipeline construction monitoring system based on big data includes: The data acquisition module obtains real-time pipeline construction data and generates offset data; The risk verification module responds to the offset data generated by the data acquisition module, verifies the offset data, and determines whether the pipeline position exceeds the preset allowable range. The risk assessment module responds to the verification results of the risk verification module. If the pipeline position does not exceed the preset allowable range, it performs continuous risk assessment based on the offset data and generates a second risk assessment report. After the pipeline is installed in the ground, based on the second risk assessment report and subsequent construction offset data, it is determined whether the pipeline has entered a risky state. The maintenance and control module responds to the verification results of the risk verification module or the judgment results of the risk assessment module. If the pipeline location exceeds the preset allowable range or the pipeline enters a risky state, the pipeline maintenance equipment is dispatched to perform adjustment operations.

[0015] Beneficial effects This invention constructs a safety zone model and a construction zone model based on pipeline coordinates and elevation. By acquiring real-time pipeline construction data and comparing it with vertical elevation information, and combining it with the first, second, and third risk assessment reports, it achieves refined supervision throughout the entire process. The multi-dimensional model construction and phased assessment improve the accuracy and safety of outdoor pipeline construction supervision, overcome the problem of delayed risk identification caused by the lack of dynamic spatial constraints in traditional supervision methods, and ensure that the offset value is always within the preset allowable range.

[0016] This invention employs a screening and processing mechanism based on fluctuation variance. By sorting verification data across multiple preset time periods, calculating the fluctuation variance, and removing abnormal data exceeding a preset fluctuation threshold, valid verification data is obtained. The data cleaning and screening mechanism eliminates noise interference and discrete values ​​during the construction process, ensuring the high reliability of the data used for risk assessment, preventing alarms caused by data fluctuations, and improving the overall operational efficiency of the monitoring system.

[0017] This invention arranges valid verification data in chronological order, calculates the permissible range of pipeline variation by combining the current pipeline elevation data and horizontal position data, and monitors the trend of change according to a preset time period. When a risk state is determined, pipeline maintenance equipment is dispatched to perform maintenance and adjustment operations. The dynamic trend analysis and closed-loop control mechanism realizes real-time prediction and proactive intervention of the construction status. When the deviation value exceeds the limit value or the trend is abnormal, maintenance measures are taken to prevent construction accidents and ensure the continuity and stability of pipeline construction. Attached Figure Description

[0018] Figure 1 This is a flowchart of the method of the present invention; Figure 2 This is a system module diagram of the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] Example 1 Please refer to Figure 1 This embodiment provides a method for supervising the construction of outdoor pipeline networks based on big data, specifically including the following steps: S1. Constructing a logical framework for monitoring outdoor pipeline construction. The architecture includes a safety zone model and a construction zone model. The safety zone model's safety zone spatial reference is a construction safety operation space reference coordinate system generated by mapping the pipeline's preset plane coordinate information and vertical elevation information. The construction zone model's construction zone spatial reference is an actual construction area reference coordinate system generated by mapping the pipeline's preset plane coordinate information and vertical elevation information.

[0021] S2. Obtain real-time pipeline construction data, compare the real-time construction data with the vertical elevation information, calculate the difference between the actual position and the design position of the pipeline, i.e., the offset data, and quantify the degree of pipeline construction deviation.

[0022] S3. Verify the offset data. Determine whether the offset data is within the allowable range defined by the preset geometric space boundary. Compare the offset data with the geometric space boundary to generate a preliminary construction risk analysis document. If the offset data exceeds the allowable range, trigger an alarm signal and generate the first risk assessment report. If the offset data is within the allowable range, then the offset data that is within the allowable range as determined by the geometric space boundary is marked as verification data.

[0023] S4. During the process of generating the first risk assessment report, the current construction center point is obtained. Based on this position, a geometric envelope area with the pipeline design axis is generated by expanding outward by a preset distance. The envelope area is defined as the safe zone. The spatial range covered by the geometric envelope area is used to determine whether the construction deviation is in a safe state. If the current offset data is outside the safe zone, the current offset data will be enveloped to a region with the same shape, which will be designated as the construction zone. Using the contact point between the outer boundary of the safe zone and the area where the offset data is located as the base point, sampling points are generated, and the distance between the sampling points and the center point of the safe zone is calculated as the evaluation basis. The outer boundary of the safe zone includes the top boundary, the bottom boundary, and the two side boundaries.

[0024] S5. Collect verification data from multiple preset time periods, filter and process the verification data, sort the multiple offset data values, use the offset data with the smallest offset value as the benchmark value, generate a sampling collection area centered on the benchmark value, collect multiple verification data within the sampling collection area, calculate the dispersion of the verification data, use the value with the dispersion greater than the preset fluctuation threshold as the reference value, remove the discrete values ​​within the preset range of the reference value as abnormal data, and after removing the abnormal data, the remaining risk assessment verification data is the valid verification data.

[0025] The preset time period refers to a continuous monitoring window divided according to fixed time intervals from the start of pipeline construction. Specifically, it can be a preset time period of 10 minutes, continuously collecting verification data within 6 time periods, or a preset time period of the time required to complete 1 meter of pipeline insertion, collecting verification data in segments. The sampling area refers to the numerical interval formed by extending a preset length on both sides of the calibration data with the smallest offset value (i.e., the reference value) as the center point. It is used to delineate the set of calibration data with small deviations from the reference value. Specifically, if the reference value is 0.03m and the extension length is 0.02m, then the sampling area is [0.01m, 0.05m]. The calibration data located in this interval are included in the summary calculation.

[0026] S6. Analyze the sorted valid verification data and generate a pipeline location safety assessment document as the second risk assessment report. Determine the safety of the pipeline location information. The valid verification data is arranged in chronological order. The earliest valid verification data with the earliest timestamp is taken as the benchmark value. Subsequent valid verification data are compared with the benchmark value to calculate the fluctuation range. The difference between the fluctuation range and the benchmark value is determined as a parameter. Combined with the current elevation data and horizontal position data of the pipeline, the permissible range of pipeline variation is calculated.

[0027] S7. Collect data points within the permissible range of pipeline variation. During pipeline construction, generate fixed change values ​​of constant positional change over time and real-time change values ​​of dynamic positional change over time. Compare the real-time change values ​​with the permissible range of pipeline variation to determine whether it deviates from the safe zone. If it does not deviate, output a safety report without risk; if it deviates, output a warning report with risk.

[0028] S8. After the pipeline is inserted into the ground, the theoretical depth is calculated based on the vertical insertion starting point, horizontal insertion distance, and preset insertion angle of the pipeline on site. The difference between the theoretical depth and the actual insertion depth is compared with the allowable deviation range, and the comparison result is calculated and generated to form the third risk assessment report in the final construction risk analysis document.

[0029] S9. Obtain the limit value of the downward offset after the pipeline construction is completed, as the basis for risk judgment. When the new offset value exceeds the limit value, it is determined that the offset is too large. If it does not exceed the limit value, it is a change within the allowable range. Continue to monitor the change trend according to the preset time period. If the continuous change value does not exceed the preset stability threshold, it is regarded as the pipeline position is in a relatively constant stable state. Conversely, if the continuous change value exceeds the preset stability threshold, it is determined that the pipeline position has an unstable state with continuous change risk.

[0030] The preset stability threshold refers to the maximum allowable rate of change of pipeline offset per unit time. Its specific value is set comprehensively based on pipeline material, pipe diameter, burial depth and design allowable offset. Specifically, if the design allowable offset of the pipeline is ±0.10m and the monitoring time window is 1 hour, the stability change threshold can be set to 0.02m / hour. If the continuously monitored offset change value within a certain 1 hour is 0.025m, which exceeds 0.02m / hour, it is determined to be an unstable state.

[0031] S10. If the pipeline is in a risky state, immediately intervene with the pipeline maintenance equipment to perform maintenance and adjustment operations.

[0032] Maintenance and adjustment operations include: correcting the position of the pipeline using pipeline maintenance equipment, including using a jacking device to push the pipeline back to its horizontal position, or using hydraulic equipment to raise or lower the vertical elevation of the pipeline until the real-time construction data falls back into the allowable range defined by the safety zone model; after the adjustment is completed, the adjusted pipeline position is continuously monitored, and the maintenance operation can be ended only after confirming that the offset no longer exceeds the allowable range and the rate of change is lower than the stable change threshold.

[0033] Example 2 Please see Figure 2 This embodiment provides a big data-based outdoor pipeline construction supervision system for executing the above-mentioned big data-based outdoor pipeline construction supervision method. It can perform real-time monitoring, risk assessment and maintenance control of the outdoor pipeline construction process. The system can be deployed on a cloud server or local data center and interact with on-site construction equipment, sensors and maintenance equipment through the network for data interaction and command transmission. The modules communicate with each other through defined data interfaces to form a collaborative data flow.

[0034] Data acquisition module To acquire real-time pipeline construction data and generate offset data, specifically, the current spatial coordinates (X, Y, Z) of the pipeline are collected in real time by sensors on the pipeline construction equipment, where Z is the vertical elevation information, which serves as the real-time pipeline construction data. The acquired real-time pipeline construction data is compared with the preset design location coordinates, and the offset data is calculated using the formula: Offset data = Actual position coordinates - Design position coordinates The offset data is calculated, and the offset data quantifies the degree of deviation in pipeline construction.

[0035] Risk verification module The offset data generated by the response data acquisition module is verified to determine whether the pipeline position exceeds the preset allowable range. Specifically, it is determined whether the offset data is within the allowable range defined by the safety zone model. If the offset data is less than or equal to the preset allowable range, the pipeline position is determined to be normal, and the risk assessment module is notified to enter the continuous risk assessment process. If the offset data is greater than the preset allowable range, the first risk response is triggered, the risk assessment module is notified to generate the first risk assessment report, and the maintenance and control module is notified to issue an alarm. Assuming the pipeline design elevation is 10.00m, the vertical elevation information collected by the data acquisition module is 10.50m, the preset allowable range is -0.3m to +0.3m, and the risk verification module calculates the offset data as 10.50m - 10.00m = +0.50m. Since +0.50m is greater than +0.3m, the offset data exceeds the preset allowable range. The risk verification module determines that the pipeline position is abnormal and triggers the first risk response.

[0036] Risk assessment module If the pipeline location does not exceed the preset allowable range, the risk assessment is performed based on the offset data, and a second risk assessment report is generated. After the pipeline is inserted into the ground, based on the second risk assessment report and subsequent construction offset data, it is determined whether the pipeline has entered a risk state. Specifically, when the risk verification module determines that the pipeline position exceeds the preset allowable range, the risk assessment module generates the first risk assessment report. This module collects the current construction center point position, takes the current construction center point as the center, and expands outward by a preset distance to form a geometric area consistent with the shape of the pipeline, which is defined as the current safe area. If the offset data is located outside the current safe zone, the offset data will be enveloped to the construction area with the same shape. The outer boundary of the current safe zone, including the top boundary, bottom boundary and side boundary, and the contact point with the area where the offset data is located will be used as the base point to generate sampling points. The distance between the sampling points and the center point of the current safe zone will be calculated as the evaluation basis to generate the first risk assessment report. Assuming the current safe zone's center point is (0,0), its radius is 0.5m, and the offset data point is located at (0.8,0.6), the risk assessment module calculates the distance as follows: Since 1.0m is greater than 0.5m, the offset data is located outside the safe zone. The intersection of the line connecting the center point to the offset point and the boundary of the safe zone is determined as the contact point. The distance between the sampling point and the center point is calculated as the evaluation basis. When the risk verification module determines that the pipeline position does not exceed the preset allowable range, the risk assessment module performs continuous risk assessment, collects verification data under multiple preset time periods, and filters the verification data. The filtering process includes: sorting multiple offset data and obtaining the offset data with the smallest offset value as the baseline value; A sampling area is generated centered on the benchmark value. Multiple verification data in the sampling area are summarized, and the fluctuation variance of the verification data is calculated. Values ​​with fluctuation variance greater than the preset fluctuation threshold are determined as reference values. Based on the reference values, discrete values ​​are removed as abnormal data within the preset range, and the remaining part is determined as valid verification data. The risk assessment module generates a second risk assessment report, which arranges the valid verification data in chronological order, takes the earliest timestamp of the valid verification data as the benchmark value, compares the subsequent valid verification data with the benchmark value, calculates the fluctuation range, and determines the difference between the fluctuation range and the benchmark value as a parameter. Based on the parameter and the current elevation and horizontal position data of the pipeline, the permissible range of pipeline variation is calculated.

[0037] The scope of permitted changes can be calculated using the following methods: Centered on the current design elevation H0, the product of the maximum fluctuation amplitude Δmax in the valid verification data and the preset permissible expansion coefficient k is used as the unilateral expansion amount, that is, the permissible variation range is [H0]. [Δmax×k, H0+Δmax×k], where the permissible expansion coefficient k is preset according to the allowable offset of the pipeline design (k≥1), and its value ensures that Δmax×k does not exceed the allowable offset of the pipeline design; If the valid verification data sequence is {T1:0.1,T2:0.12,T3:0.11}, the baseline value D0 at time T1 is 0.1m, and the fluctuation amplitude at time T2 is 0.12. 0.1 = 0.02m, the fluctuation amplitude at time T3 is 0.11. 0.1 = 0.01m, take the maximum fluctuation range Δmax = 0.02m; the current design elevation H0 = 10.00m, the preset allowable expansion coefficient k = 10, the single-sided expansion is 0.02 × 10 = 0.20m, and the allowable variation range of the pipeline is [10.00m]. 0.20,10.00+0.20]=[9.80m,10.20m].

[0038] In practice, other equivalent algorithms may be used to calculate the scope of permitted changes, and no single algorithm is required.

[0039] The risk assessment module also summarizes the data points within the pipeline's permissible variation range, generates real-time change values, compares the real-time change values ​​with the pipeline's permissible variation range, and determines whether it deviates from the safe zone. If the real-time change values ​​are within the range, a safety report without risk is output; if the real-time change values ​​deviate from the range, a warning report with risk is output. If the permissible variation range of the pipeline is [9.8m, 10.2m], and the real-time change value is 10.0m, the module determines that it is within the range and outputs a safety report. If the real-time change value is 10.3m, the module determines that it deviates from the range and outputs an early warning report. After the pipeline is inserted into the ground, the risk assessment module determines whether the pipeline has entered a risk state, obtains a third risk assessment report, and generates a theoretical depth based on the vertical insertion starting point, horizontal insertion distance, and preset insertion angle of the pipeline on site. According to the theoretical depth calculation formula, theoretical depth = vertical entry point + (horizontal distance) The difference between the theoretical depth and the actual depth is calculated using the tan(entry angle). This difference is compared to the allowable deviation range to determine the final result. The allowable deviation range is the range of numerical differences between the theoretical depth and the actual depth. For example, if the vertical entry point is 0m, the entry angle is 30 degrees, and the horizontal distance is 10m, the theoretical depth is approximately 5.77m, and the actual depth is 6.0m. The difference between the theoretical depth and the actual depth (0.23m) is compared to the allowable deviation range ([-0.5m, +0.5m]), and the result is deemed acceptable. Combined with subsequent construction offset data, it is determined whether the pipeline has entered a risky state.

[0040] Maintenance and control module If the pipeline location exceeds the preset allowable range or the pipeline enters a risk state, the pipeline maintenance equipment will be dispatched to perform maintenance and adjustment operations based on the verification result of the risk verification module or the judgment result of the risk assessment module. Specifically, it is determined whether the pipeline has entered a risk state. Risk states include: the current offset value in the subsequent construction offset data exceeds the limit value of downward offset after the pipeline construction is completed, or the change value reflected by the offset data continuously monitored according to the preset time period exceeds the stability threshold, thus being determined as an unstable state. If either condition is met, the maintenance control module intervenes in the pipeline maintenance equipment to perform maintenance adjustment operations. Assuming the downward offset limit is -1.0m and the stability threshold is 0.2m / hour, if the current offset value is -1.2m, it is judged as a risk state because -1.2m is less than -1.0m. If the continuously monitored change value is 0.3m / hour, it is judged as an unstable state, i.e. a risk state, because 0.3m / hour is greater than 0.2m / hour.

[0041] The above embodiments are only for illustrating the technical concept and features of the present invention, and are intended to enable those skilled in the art to understand and implement the present invention. They should not be construed as limiting the scope of protection of the present invention. All equivalent changes or modifications made in accordance with the spirit and essence of the present invention should be covered within the scope of protection of the present invention.

Claims

1. A method for supervising outdoor pipeline network construction based on big data, characterized in that, include: Acquire real-time pipeline construction data, perform offset verification on the real-time pipeline construction data, and determine whether the pipeline position exceeds the preset allowable range. If the pipeline position exceeds the preset allowable range, trigger the first risk response. If the pipeline position does not exceed the preset allowable range, conduct continuous risk assessment based on the real-time pipeline construction data. Once the pipeline is installed in the ground, based on the results of the ongoing risk assessment, it is determined whether the pipeline has entered a risky state. If the pipeline has entered a risky state, maintenance and adjustment operations are triggered.

2. The method for supervising outdoor pipeline construction based on big data according to claim 1, characterized in that, Obtaining real-time pipeline construction data and performing offset verification on the real-time pipeline construction data includes: comparing the real-time pipeline construction data with the vertical elevation information to obtain offset data, and determining whether the offset data is within the allowable range defined by the safety zone model.

3. The method for supervising outdoor pipeline construction based on big data according to claim 1, characterized in that, The first risk response includes: issuing an alarm and generating a first risk assessment report; The process of generating the first risk assessment report includes: collecting the current construction center point location, generating an envelope region that matches the shape of the pipeline, and defining the envelope region as the current safe zone; If the offset data is located outside the current safe zone, the offset data will be enveloped to the construction area with the same shape. Sampling points will be generated with the contact point between the outer boundary of the current safe zone and the area where the offset data is located as the base point. The distance between the sampling point and the center point of the current safe zone will be calculated as the basis for evaluation. The outer boundary of the current safe zone includes the top boundary, the bottom boundary and the two side boundaries.

4. The method for supervising outdoor pipeline construction based on big data according to claim 1, characterized in that, Continuous risk assessment based on real-time pipeline construction data includes: collecting verification data from multiple preset time periods, filtering and processing the verification data, removing abnormal data whose values ​​deviate from preset statistical thresholds, sorting the remaining verification data, and recording trend change values. The sorted verification data is analyzed to generate a second risk assessment report, which determines the safety of the pipeline location information.

5. The method for supervising outdoor pipeline construction based on big data according to claim 4, characterized in that, The process of collecting verification data from multiple preset time periods and filtering the verification data includes: sorting multiple offset data, obtaining the offset data with the smallest offset value as the baseline value, generating a sampling collection area centered on the baseline value, summarizing multiple verification data within the sampling collection area, calculating the fluctuation variance of the verification data, determining the values ​​with fluctuation variance greater than a preset fluctuation threshold as reference values, and based on the reference values, removing discrete values ​​as outliers within a preset range to determine the remaining part as valid verification data.

6. The method for supervising outdoor pipeline construction based on big data according to claim 4, characterized in that, The process of analyzing the sorted verification data to generate a second risk assessment report includes: arranging the valid verification data in chronological order, obtaining the earliest timestamp of the valid verification data as the baseline value, comparing subsequent valid verification data with the baseline value, calculating the fluctuation range, determining the difference between the fluctuation range and the baseline value as a parameter, and calculating the permissible range of pipeline variation based on the parameter and the current elevation and horizontal position data of the pipeline.

7. The method for supervising outdoor pipeline construction based on big data according to claim 4, characterized in that, Continuous risk assessment based on real-time pipeline construction data also includes: summarizing data points within the permissible range of pipeline variation, generating real-time change values, comparing the real-time change values ​​with the permissible range of pipeline variation to determine whether there is a deviation from the safe zone. If there is no deviation, a safety report without risk is output; if there is a deviation, a warning report with risk is output.

8. The method for supervising outdoor pipeline construction based on big data according to claim 1, characterized in that, Based on the results of continuous risk assessment, determining whether a pipeline has entered a risky state includes: obtaining a third risk assessment report. The generation of the third risk assessment report includes calculating the theoretical depth based on the vertical entry point, horizontal entry distance, and preset entry angle of the pipeline on site, comparing the difference between the theoretical depth and the actual entry depth with the allowable deviation range, and obtaining the judgment result. Based on subsequent construction offset data, determine whether the pipeline has entered a risky state.

9. The method for supervising outdoor pipeline construction based on big data according to claim 1, characterized in that, Maintenance and adjustment operations include: when a pipeline enters a risky state, intervention pipeline maintenance equipment performs adjustment operations; Among them, the risk status includes: the current offset value in the subsequent construction offset data exceeds the limit value of downward offset after the pipeline construction is completed, or the change value reflected by the offset data continuously monitored according to the preset time period exceeds the preset stability threshold, which is judged as an unstable status.

10. A big data-based outdoor pipeline construction monitoring system, characterized in that, include: The data acquisition module obtains real-time pipeline construction data and generates offset data; The risk verification module responds to the offset data generated by the data acquisition module, verifies the offset data, and determines whether the pipeline position exceeds the preset allowable range. The risk assessment module responds to the verification results of the risk verification module. If the pipeline position does not exceed the preset allowable range, it performs continuous risk assessment based on the offset data and generates a second risk assessment report. After the pipeline is installed in the ground, based on the second risk assessment report and subsequent construction offset data, it is determined whether the pipeline has entered a risky state. The maintenance and control module responds to the verification results of the risk verification module or the judgment results of the risk assessment module. If the pipeline location exceeds the preset allowable range or the pipeline enters a risky state, the pipeline maintenance equipment is dispatched to perform adjustment operations.

Images