Internet of Things-Based Pipeline Detection Control Method and System

Abstract

The present application discloses a pipeline detection control method and system based on the Internet of Things, which relates to the technical field of underground pipeline exploration. The method includes the following steps: obtaining pipeline information of a target pipeline; selecting a primary detection scheme and a secondary detection scheme from a plurality of preset detection schemes based on the pipeline information; detecting the target pipeline according to the primary detection scheme to obtain a first detection result; judging whether the first detection result is accurate based on the underground pipeline laying standard; if the first detection result is accurate, using the first detection result as the final detection result; if the first detection result is inaccurate, detecting the target pipeline according to the secondary detection scheme to obtain a second detection result; and correcting the first detection result through the second detection result to obtain the final detection result. The present application has the effect of selecting a suitable detection scheme for detection and obtaining a relatively accurate detection result.

Description

Technical Field

[0001] This application relates to the technical field of underground pipeline exploration, and in particular, to a pipeline detection control method and system based on the Internet of Things. Background Art

[0002] Before the construction of some large projects, it is necessary to detect the underground pipelines at the planned construction site. The task of detection is to find out the laying conditions of various underground pipelines at the site, the projection positions and depths on the ground, and set pipeline point marks on the ground to measure the coordinates and elevations of the pipeline points or conduct the mapping of the underground pipeline diagram. The purpose is to protect the existing underground pipelines and prevent damage to the pipelines during construction. During the actual detection process, the detection personnel need to conduct a preliminary on-site investigation, then select a suitable detection scheme based on experience for detection, and finally draw the underground pipeline diagram according to the detection results.

[0003] Regarding the above related technologies, the inventor believes that there are the following defects: If the construction site environment is relatively complex, the detection scheme selected by the detection personnel based on experience may be inappropriate, which may easily lead to inaccurate detection results. Summary of the Invention

[0004] To improve the defect that inappropriate selection of the detection scheme easily leads to inaccurate detection results, this application provides a pipeline detection control method and system based on the Internet of Things.

[0005] In a first aspect, this application provides a pipeline detection control method based on the Internet of Things. The method includes the following steps:

[0006] Obtain the pipeline information of the target pipeline;

[0007] Select a primary detection scheme and a secondary detection scheme from a plurality of preset detection schemes based on the pipeline information;

[0008] Detect the target pipeline according to the primary detection scheme to obtain a first detection result;

[0009] Judge whether the first detection result is accurate based on the underground pipeline laying standard;

[0010] If the first detection result is accurate, use the first detection result as the final detection result;

[0011] If the first detection result is inaccurate, detect the target pipeline according to the secondary detection scheme to obtain a second detection result;

[0012] Correct the first detection result through the second detection result to obtain the final detection result.

[0013] By adopting the above technical solution, first obtain the pipeline information of the target pipeline, select two schemes, namely a primary detection scheme and a relatively appropriate secondary detection scheme, according to the pipeline information, then use the primary detection scheme to conduct a preliminary detection to obtain a first detection result. At this time, according to the laying standard of the underground pipeline, it can be judged whether the first detection result is accurate. If it is accurate, the first detection result is directly used as the final detection result without the need for further detection; if it is inaccurate, the secondary detection scheme can be used for further detection, and the inaccurate first detection result is corrected by the second detection result obtained by the secondary detection scheme, so as to obtain the final detection result.

[0014] Optionally, the obtaining the pipeline information of the target pipeline includes the following steps:

[0015] Circumscribe the detection area of the target pipeline based on the underground pipeline laying standard;

[0016] Randomly select multiple pre-detection points in the detection area;

[0017] Use a detector to conduct a pre-detection on the pre-detection points and obtain the pre-detection result of the detector;

[0018] Obtain the pipeline information of the target pipeline based on the pre-detection result.

[0019] By adopting the above technical solution, the design and laying of underground pipelines need to consider the surrounding specific environment. Therefore, according to the underground pipeline laying standard, the detection area where the target pipeline is likely to exist can be circumscribed, and then multiple detection points are randomly selected in the circumscribed detection area for pre-detection by a detector. The pipeline information of the target pipeline can be analyzed based on the pre-detection result of the detector, which is conducive to subsequent selection of a suitable detection scheme according to the pipeline information.

[0020] Optionally, the randomly selecting multiple pre-detection points in the detection area includes the following steps:

[0021] Judge whether the area graph formed by the detection area is circular;

[0022] If the area graph is circular, construct a regional polar coordinate system with the center of the area graph as the origin;

[0023] Randomly generate multiple probe point polar coordinates in the regional polar coordinate system, and use the points corresponding to the probe point polar coordinates in the regional polar coordinate system as pre-detection points;

[0024] If the area graph is not circular, judge whether the area graph is rectangular;

[0025] If the area graph is rectangular, construct a regional rectangular coordinate system with any vertex of the area graph as the origin;

[0026] Randomly generate multiple probe point coordinates in the regional rectangular coordinate system, and use the points corresponding to the probe point coordinates in the regional rectangular coordinate system as the pre-probe points.

[0027] By adopting the above technical solution, usually the detection area is demarcated as a circle or a rectangle. To ensure the randomness of the selection of pre-probe points in the detection area, different methods can be adopted according to the different regional graphics formed by the detection area. If the regional graphic is a circle, a regional polar coordinate system can be constructed, then randomly generate the probe point polar coordinates in the regional polar coordinate system, and use the points corresponding to the probe point polar coordinates as the pre-probe points. If the regional graphic is a rectangle, a regional rectangular coordinate system can be constructed and the probe point coordinates are randomly generated, and then the points corresponding to the probe point coordinates in the regional rectangular coordinate system are used as the pre-probe points.

[0028] Optionally, the method further includes the following steps:

[0029] If the regional graphic is not a rectangle, generate a virtual rectangle that covers the regional graphic and has the smallest area;

[0030] Construct a virtual rectangular coordinate system with any vertex of the virtual rectangle as the origin;

[0031] Randomly generate multiple virtual coordinates in the virtual rectangular coordinate system;

[0032] Judge whether the virtual coordinates fall within the range of the regional graphic;

[0033] If the virtual coordinates fall within the range of the regional graphic, retain the virtual coordinates;

[0034] If the virtual coordinates do not fall within the range of the regional graphic, delete the virtual coordinates;

[0035] Use the points corresponding to all the virtual coordinates in the virtual rectangular coordinate system as the pre-probe points.

[0036] By adopting the above technical solution, in a few cases, due to the high complexity of the construction environment, it is difficult to demarcate the detection area as a circle or a rectangle, but other polygons or irregular graphics. At this time, a virtual rectangle can be generated. The virtual rectangle is a rectangle that can contain the entire regional graphic and has the smallest area. The smallest area is conducive to shortening the calculation process of subsequent random point selection, judgment and other steps. After generating the virtual rectangle, construct a virtual rectangular coordinate system with any vertex of the virtual rectangle as the origin, and then generate multiple virtual coordinates. The points corresponding to the generated virtual coordinates may fall outside the range of the regional graphic. Therefore, it is necessary to judge the virtual coordinates. If it is outside the range of the regional graphic, delete the virtual coordinate. Finally, use the points corresponding to all the undeleted virtual coordinates as the pre-probe points.

[0037] Optionally, the pipeline information includes the buried depth and the pipeline type. The steps for obtaining the pipeline information of the target pipeline based on the preliminary exploration results are as follows:

[0038] Extract the preliminary exploration depth and the preliminary exploration angle from the preliminary exploration results;

[0039] Correct the preliminary exploration depth according to the preliminary exploration angle to obtain the buried depth of the target pipeline;

[0040] Obtain the electromagnetic induction state of the target pipeline based on the preliminary exploration results;

[0041] Analyze the electromagnetic induction state to obtain the pipeline type of the target pipeline.

[0042] By adopting the above technical solution, the detection tube in the detector is used to conduct in-depth preliminary exploration from the preliminary exploration point. When the target pipeline is preliminarily explored, the detector will perform electromagnetic induction detection and output the preliminary exploration results. The preliminary exploration results include the preliminary exploration angle during in-depth exploration and the preliminary exploration depth when the target pipeline is preliminarily explored. Combining the preliminary exploration depth and the preliminary exploration angle, the buried depth of the target pipeline can be calculated. Then, based on the electromagnetic induction state of the target pipeline obtained by electromagnetic induction detection, the pipeline type of the target pipeline can be analyzed.

[0043] Optionally, the pipeline type includes metal pipelines and non-metal pipelines. The steps for selecting the primary detection plan and the secondary detection plan from a plurality of preset detection plans based on the buried depth and the pipeline type are as follows:

[0044] Judge whether the pipeline type is the metal pipeline or the non-metal pipeline;

[0045] If the pipeline type is the non-metal pipeline, select the primary detection plan and the secondary detection plan from a plurality of preset detection plans according to the buried depth;

[0046] If the pipeline type is the metal pipeline, select the electromagnetic induction detection plan as the primary detection plan;

[0047] Judge whether the buried depth is greater than a preset first depth threshold;

[0048] If the buried depth is greater than the first depth threshold, select the geological radar detection plan as the secondary detection plan;

[0049] If the buried depth is less than or equal to the first depth threshold, select the high-density electrical detection plan as the secondary detection plan.

[0050] By adopting the above technical solutions, the preset detection solutions include detection solutions for detecting only metal pipelines or only non-metal pipelines. Therefore, it is necessary to first determine the pipeline type of the target pipeline. If it is a metal pipeline, the most applicable electromagnetic induction detection solution can be directly selected as the primary detection solution, and the secondary detection solution needs to be selected in combination with the burial depth of the target pipeline. The geological radar detection solution is more conducive to detecting deeper pipelines. Therefore, when the burial depth is greater than the preset first depth threshold, the geological radar detection solution is selected as the secondary detection solution; the high-density electrical detection solution requires arranging electrodes and survey lines underground, so it is not applicable to underground pipelines with particularly deep burial depths. Therefore, when the burial depth is less than or equal to the first depth threshold, the high-density electrical detection solution is selected as the secondary detection solution.

[0051] Optionally, the selecting the primary detection solution and the secondary detection solution from a preset plurality of detection solutions according to the burial depth includes the following steps:

[0052] Judge whether the burial depth is greater than the first depth threshold;

[0053] If the burial depth is less than or equal to the first depth threshold, select the sounding detection solution as the primary detection solution and select the geological radar detection solution as the secondary detection solution;

[0054] If the burial depth is greater than the first depth threshold, select the geological radar detection solution as the primary detection solution;

[0055] Judge whether the burial depth is greater than a preset second depth threshold, and the second depth threshold is greater than the first depth threshold;

[0056] If the burial depth is less than or equal to the second depth threshold, select the sounding detection solution as the secondary detection solution;

[0057] If the burial depth is greater than the second depth threshold, select the high-density electrical detection solution as the secondary detection solution.

[0058] By adopting the above technical solutions, when the target pipeline is a non-metal pipeline, the burial depth is divided into grades according to the preset first depth threshold and second depth threshold. If the burial depth is less than or equal to the first depth threshold, it means that the target pipeline is buried shallowly, and the sounding detection solution can be directly selected as the primary detection solution and the geological radar detection solution can be selected as the secondary detection solution; if the burial depth is greater than the first depth threshold and less than or equal to the second depth threshold, select the geological radar detection solution as the primary detection solution and the sounding detection solution as the secondary detection solution; if the burial depth is greater than the second depth threshold, select the geological radar detection solution as the primary detection solution and the high-density electrical detection solution as the secondary detection solution.

[0059] In a second aspect, the present application further provides an Internet of Things-based pipeline detection control system, including a memory, a processor, and a program stored on the memory and executable on the processor. When the program is loaded and executed by the processor, it can implement the Internet of Things-based pipeline detection control method described in the first aspect.

[0060] By adopting the above technical solution, through the retrieval of the program, the pipeline information of the target pipeline is first obtained. According to the pipeline information, two detection schemes, namely a suitable primary detection scheme and a relatively suitable secondary detection scheme, are selected. Then, the primary detection scheme is used for preliminary detection to obtain a first detection result. At this time, according to the laying standard of the underground pipeline, it can be judged whether the first detection result is accurate. If it is accurate, the first detection result is directly used as the final detection result without further detection; if it is inaccurate, the secondary detection scheme can be used for re-detection, and the second detection result obtained by the secondary detection scheme is used to correct the inaccurate first detection result, thereby obtaining the final detection result.

[0061] In summary, the present application includes at least one of the following beneficial technical effects:

[0062] 1. First, obtain the pipeline information of the target pipeline. According to the pipeline information, select two detection schemes, namely a suitable primary detection scheme and a relatively suitable secondary detection scheme. Then, use the primary detection scheme for preliminary detection to obtain a first detection result. At this time, according to the laying standard of the underground pipeline, it can be judged whether the first detection result is accurate. If it is accurate, the first detection result is directly used as the final detection result without further detection; if it is inaccurate, the secondary detection scheme can be used for re-detection, and the second detection result obtained by the secondary detection scheme is used to correct the inaccurate first detection result, thereby obtaining the final detection result.

[0063] 2. To ensure the randomness of the selection of pre-detection points in the detection area, different selection methods can be adopted according to the different regional graphs formed by the detection area. If the regional graph is circular, a regional polar coordinate system can be constructed, and then the polar coordinates of the detection points in the regional polar coordinate system are randomly generated, and the points corresponding to the polar coordinates of the detection points are used as pre-detection points. If the regional graph is rectangular, a regional rectangular coordinate system can be constructed and the coordinates of the detection points are randomly generated, and the points corresponding to the coordinates of the detection points in the regional rectangular coordinate system are used as pre-detection points. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 is a schematic flow chart of an Internet of Things-based pipeline detection control method according to an embodiment of the present application.

[0065] Figure 2 is a schematic flow chart of obtaining the pipeline information of the target pipeline according to an embodiment of the present application.

[0066] Figure 3 It is a schematic flow chart of randomly selecting multiple preliminary exploration points in one embodiment of the present application.

[0067] Figure 4 It is a schematic flow chart of generating a virtual rectangle and selecting preliminary exploration points in one embodiment of the present application.

[0068] Figure 5 It is a schematic flow chart of obtaining pipeline information based on preliminary exploration results in one embodiment of the present application.

[0069] Figure 6 It is a schematic flow chart of selecting a detection scheme based on burial depth and pipeline type in one embodiment of the present application.

[0070] Figure 7 It is a schematic flow chart of selecting a detection scheme according to the burial depth in one embodiment of the present application. Detailed implementation manners

[0071] The following further elaborates on the present application in conjunction with the attached Figure 1-7 for a more detailed description.

[0072] An embodiment of the present application discloses an Internet of Things-based pipeline detection control method.

[0073] Refer to Figure 1 , the Internet of Things-based pipeline detection control method includes the following steps:

[0074] 101. Obtain pipeline information of the target pipeline.

[0075] Among them, the pipeline information can be obtained by acquiring the design drawings of the target pipeline, or by means of preliminary exploration.

[0076] 102. Select a primary detection scheme and a secondary detection scheme from a plurality of preset detection schemes based on the pipeline information.

[0077] 103. Detect the target pipeline according to the primary detection scheme to obtain a first detection result.

[0078] 104. Judge whether the first detection result is accurate based on the underground pipeline laying standard. If so, execute step 105; if not, execute step 106.

[0079] 105. Take the first detection result as the final detection result.

[0080] 106. Detect the target pipeline according to the secondary detection scheme to obtain a second detection result.

[0081] 107. Modify the first detection result based on the second detection result to obtain the final detection result.

[0082] Among them, inaccurate data in the first detection result is judged according to the underground pipeline laying standard, and the corresponding data in the second detection result is used for replacement.

[0083] The implementation principle of this embodiment is as follows:

[0084] First, obtain the pipeline information of the target pipeline, select two schemes, a primary detection scheme and a relatively suitable secondary detection scheme, according to the pipeline information, then use the primary detection scheme to conduct a preliminary detection to obtain the first detection result. At this time, according to the underground pipeline laying standard, it can be judged whether the first detection result is accurate. If it is accurate, the first detection result is directly used as the final detection result without the need for further detection; if it is inaccurate, the secondary detection scheme can be used to conduct a detection again, and the inaccurate first detection result is corrected by the second detection result obtained by the secondary detection scheme, so as to obtain the final detection result.

[0085] In Figure 1 In step 101 of the illustrated embodiment, the pipeline information of the target pipeline is obtained by means of preliminary exploration. Before the preliminary exploration, it is necessary to first delineate the detection area and randomly select preliminary exploration points. Specifically, it is described in detail through the Figure 2 illustrated embodiment.

[0086] Referring to Figure 2 , obtaining the pipeline information of the target pipeline includes the following steps:

[0087] 201. Delineate the detection area of the target pipeline based on the underground pipeline laying standard.

[0088] 202. Randomly select multiple preliminary exploration points in the detection area.

[0089] 203. Use the detector to conduct a preliminary exploration on the preliminary exploration points and obtain the preliminary exploration result of the detector.

[0090] 204. Obtain the pipeline information of the target pipeline based on the preliminary exploration result.

[0091] The implementation principle of this embodiment is as follows:

[0092] The design and laying of underground pipelines need to consider the specific surrounding environment. Therefore, according to the underground pipeline laying standard, the detection area where the target pipeline is likely to exist can be delineated, and then multiple detection points are randomly selected in the delineated detection area for preliminary exploration by the detector. According to the preliminary exploration result of the detector, the pipeline information of the target pipeline can be analyzed, which is conducive to subsequent selection of a suitable detection scheme according to the pipeline information.

[0093] In Figure 2In step 202 of the illustrated embodiment, the area pattern formed by the detection area is usually circular or rectangular. Different coordinate systems can be established according to the different area patterns, and then coordinates are randomly generated and pre-exploration points are selected according to the coordinates. Specifically, it is described in detail through Figure 3 the illustrated embodiment.

[0094] Referring to Figure 3 , randomly selecting multiple pre-exploration points includes the following steps:

[0095] 301. Determine whether the area pattern formed by the detection area is circular. If so, execute step 302; if not, execute step 304.

[0096] 302. Construct a regional polar coordinate system with the center of the area pattern as the origin.

[0097] 303. Randomly generate the polar coordinates of the exploration points in the regional polar coordinate system, and use the points corresponding to the polar coordinates of the exploration points in the regional polar coordinate system as the pre-exploration points.

[0098] Among them, taking the edge of the area pattern as the upper limit of the value, randomly generate multiple polar radius values and multiple polar angle values, and then randomly combine the multiple polar radius values and multiple polar angle values to obtain multiple polar coordinates of the exploration points.

[0099] 304. Determine whether the area pattern is rectangular. If so, execute step 305.

[0100] 305. Construct a regional rectangular coordinate system with any vertex of the area pattern as the origin.

[0101] 306. Randomly generate the coordinates of the exploration points in the regional rectangular coordinate system, and use the points corresponding to the coordinates of the exploration points in the regional rectangular coordinate system as the pre-exploration points.

[0102] Among them, taking the edge of the area pattern as the upper limit of the value, randomly generate multiple X-axis values and multiple Y-axis values, and then randomly combine the multiple X-axis values and multiple Y-axis values to obtain multiple coordinates of the exploration points.

[0103] The implementation principle of this embodiment is:

[0104] Generally, the detection area is circled as circular or rectangular. To ensure the randomness of the selection of pre-exploration points in the detection area, different methods can be used for selection according to the different area patterns formed by the detection area. If the area pattern is circular, a regional polar coordinate system can be constructed, and then the polar coordinates of the exploration points in the regional polar coordinate system are randomly generated, and the points corresponding to the polar coordinates of the exploration points are used as the pre-exploration points. If the area pattern is rectangular, a regional rectangular coordinate system can be constructed and the coordinates of the exploration points are randomly generated, and the points corresponding to the coordinates of the exploration points in the regional rectangular coordinate system are used as the pre-exploration points.

[0105] InFigure 3 In step 304 of the illustrated embodiment, if the regional pattern is neither rectangular nor circular, but other polygons or irregular shapes, a virtual rectangle covering the entire regional pattern can be generated, and then pre-exploration points can be selected in combination with the virtual rectangle. Specifically, through Figure 4 the illustrated embodiment will be described in detail.

[0106] Referring to Figure 4 , generating a virtual rectangle and selecting pre-exploration points includes the following steps:

[0107] 401, if the regional pattern is not rectangular, generate a virtual rectangle that covers the regional pattern and has the smallest area.

[0108] 402, construct a virtual rectangular coordinate system with any vertex of the virtual rectangle as the origin.

[0109] 403, randomly generate multiple virtual coordinates in the virtual rectangular coordinate system.

[0110] Among them, taking the edge of the regional pattern as the upper limit of the value, randomly generate multiple virtual X-axis values and multiple virtual Y-axis values, and then randomly combine the multiple virtual X-axis values and multiple virtual Y-axis values to obtain multiple virtual coordinates.

[0111] 404, determine whether the virtual coordinates fall within the range of the regional pattern. If so, execute step 405; if not, execute step 406.

[0112] 405, retain the virtual coordinates.

[0113] 406, delete the virtual coordinates.

[0114] 407, take the points corresponding to all the virtual coordinates in the virtual rectangular coordinate system as the pre-exploration points.

[0115] The implementation principle of this embodiment is as follows:

[0116] In a few cases, due to the high complexity of the construction environment, it is difficult to delineate the detection area as a circle or a rectangle, but other polygons or irregular shapes. At this time, a virtual rectangle can be generated. The virtual rectangle is a rectangle that can contain the entire regional pattern and has the smallest area. The smallest area is conducive to shortening the calculation process of subsequent steps such as random point selection and judgment. After generating the virtual rectangle, construct a virtual rectangular coordinate system with any vertex of the virtual rectangle as the origin, and then generate multiple virtual coordinates. The points corresponding to the generated virtual coordinates may fall outside the range of the regional pattern. Therefore, it is necessary to judge the virtual coordinates. If it is outside the range of the regional pattern, delete the virtual coordinates. Finally, take the points corresponding to all the undeleted virtual coordinates as the pre-exploration points.

[0117] In Figure 2In step 204 of the illustrated embodiment, the pipeline information includes the burial depth and the pipeline type. The burial depth of the target pipeline can be calculated based on the preliminary exploration depth and the preliminary exploration angle in the preliminary exploration result, and the pipeline type of the target pipeline can be analyzed based on the electromagnetic induction state in the preliminary exploration result. Specifically, it is described in detail through Figure 5 the illustrated embodiment.

[0118] Referring to Figure 5 , obtaining the pipeline information based on the preliminary exploration result includes the following steps:

[0119] 501. Extract the preliminary exploration depth and the preliminary exploration angle from the preliminary exploration result.

[0120] Among them, the preliminary exploration depth is the depth that the exploration tube in the detector penetrates into the ground when preliminarily exploring to the target pipeline, and the preliminary exploration angle is the angle formed by the exploration tube and the plumb line when preliminarily exploring to the target pipeline.

[0121] 502. Correct the preliminary exploration depth according to the preliminary exploration angle to obtain the burial depth of the target pipeline.

[0122] Among them, the vertical distance from the target pipeline to the ground is calculated according to trigonometric functions, which is the burial depth of the target pipeline.

[0123] 503. Obtain the electromagnetic induction state of the target pipeline based on the preliminary exploration result.

[0124] Among them, the electromagnetic induction detector at the head of the exploration tube is used to perform electromagnetic induction detection on the target pipeline, and the electromagnetic induction state that appears after the electromagnetic induction detection of the target pipeline is saved to the preliminary exploration result.

[0125] 504. Analyze the electromagnetic induction state to obtain the pipeline type of the target pipeline.

[0126] The implementation principle of this embodiment is:

[0127] The exploration tube in the detector is used to conduct in-depth preliminary exploration from the preliminary exploration point. When the target pipeline is preliminarily explored, the detector will perform electromagnetic induction detection and output the preliminary exploration result. The preliminary exploration result includes the preliminary exploration angle when going deep and the preliminary exploration depth when reaching the target pipeline. Combining the preliminary exploration depth and the preliminary exploration angle, the burial depth of the target pipeline can be calculated, and the pipeline type of the target pipeline can be analyzed according to the electromagnetic induction state of the target pipeline obtained by the electromagnetic induction detection.

[0128] In Figure 1 step 102 of the illustrated embodiment, the pipeline types include metal pipelines and non-metal pipelines, and the preset multiple detection schemes include the sounding detection scheme, the ground penetrating radar detection scheme, the high-density electrical detection scheme, the high-density magnetic measurement detection scheme, the electromagnetic induction detection scheme, the artificial seismic detection scheme, etc. The appropriate primary detection scheme and secondary detection scheme are selected in combination with the burial depth and the pipeline type. Specifically, throughFigure 6 The illustrated embodiments will be described in detail.

[0129] Referring to Figure 6 , the detection scheme selected based on the burial depth and pipeline type includes the following steps:

[0130] 601. Determine whether the pipeline type is a metal pipeline or a non-metal pipeline. If it is a non-metal pipeline, then execute step 602; if it is a metal pipeline, then execute step 603.

[0131] 602. Select the primary detection scheme and the secondary detection scheme from a plurality of preset detection schemes according to the burial depth.

[0132] 603. Select the electromagnetic induction detection scheme as the primary detection scheme.

[0133] 604. Determine whether the burial depth is greater than a preset first depth threshold. If so, then execute step 605; if not, then execute step 606.

[0134] 605. Select the ground penetrating radar detection scheme as the secondary detection scheme.

[0135] 606. Select the high-density electrical detection scheme as the secondary detection scheme.

[0136] The implementation principle of this embodiment is as follows:

[0137] Among the preset detection schemes, there are detection schemes for detecting only metal pipelines or only non-metal pipelines. Therefore, it is necessary to first determine the pipeline type of the target pipeline. If it is a metal pipeline, the most suitable electromagnetic induction detection scheme can be directly selected as the primary detection scheme, and the secondary detection scheme needs to be selected in combination with the burial depth of the target pipeline. The ground penetrating radar detection scheme is more suitable for detecting deeper pipelines. Therefore, when the burial depth is greater than the preset first depth threshold, the ground penetrating radar detection scheme is selected as the secondary detection scheme; the high-density electrical detection scheme requires electrodes and survey lines to be arranged underground, so it is not suitable for underground pipelines with particularly deep burial depths. Therefore, when the burial depth is less than or equal to the first depth threshold, the high-density electrical detection scheme is selected as the secondary detection scheme.

[0138] In Figure 6 In step 602 of the illustrated embodiment, when the pipeline type is a non-metal pipeline, the sounding detection scheme, the ground penetrating radar detection scheme, and the high-density electrical detection scheme are more suitable, and further selection is made in combination with the burial depth. Specifically, it is described in detail through Figure 7 the illustrated embodiment.

[0139] Referring to Figure 7 , the detection scheme selected according to the burial depth includes the following steps:

[0140] 701. Determine whether the burial depth is greater than the first depth threshold. If not, proceed to step 702; if so, proceed to step 703.

[0141] 702. Select the dynamic penetration exploration plan as the primary exploration plan, and select the ground penetrating radar exploration plan as the secondary exploration plan.

[0142] 703. Select the ground penetrating radar exploration plan as the primary exploration plan.

[0143] 704. Determine whether the burial depth is greater than the preset second depth threshold. If not, proceed to step 705; if so, proceed to step 706.

[0144] Among them, the second depth threshold is greater than the first depth threshold.

[0145] 705. Select the dynamic penetration exploration plan as the secondary exploration plan.

[0146] 706. Select the high-density electrical exploration plan as the secondary exploration plan.

[0147] The implementation principle of this embodiment is as follows:

[0148] When the target pipeline is a non-metallic pipeline, the burial depth is divided into grades according to the preset first depth threshold and second depth threshold. If the burial depth is less than or equal to the first depth threshold, it means that the target pipeline is buried shallowly, and the dynamic penetration exploration plan can be directly selected as the primary exploration plan, and the ground penetrating radar exploration plan can be selected as the secondary exploration plan; if the burial depth is greater than the first depth threshold and less than or equal to the second depth threshold, the ground penetrating radar exploration plan is selected as the primary exploration plan, and the dynamic penetration exploration plan is used as the secondary exploration plan; if the burial depth is greater than the second depth threshold, the ground penetrating radar exploration plan is selected as the primary exploration plan, and the high-density electrical exploration plan is used as the secondary exploration plan.

[0149] This application embodiment also discloses an Internet of Things-based pipeline detection control system, including a memory, a processor, and a program stored on the memory and executable on the processor. When this program is loaded and executed by the processor, it can implement the Internet of Things-based pipeline detection control method as shown in Figure 1-Figure 7 shown in.

[0150] The implementation principle of this embodiment is as follows:

[0151] By retrieving the program, first obtain the pipeline information of the target pipeline, select two schemes, namely, the primary detection scheme and the relatively appropriate secondary detection scheme, according to the pipeline information, then use the primary detection scheme to conduct preliminary detection to obtain the first detection result. At this time, according to the laying standard of the underground pipeline, it can be judged whether the first detection result is accurate. If it is accurate, directly use the first detection result as the final detection result without the need for further detection; if it is inaccurate, the secondary detection scheme can be used for further detection, and the inaccurate first detection result is corrected by the second detection result obtained by the secondary detection scheme, so as to obtain the final detection result.

[0152] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereby. Therefore, all equivalent changes made according to the structure, shape, and principle of the present application shall be covered within the protection scope of the present application.

Claims

1. A pipeline detection control method based on the Internet of Things, characterized in that, The steps are as follows: Obtain the pipeline information of the target pipeline; Select a primary detection plan and a secondary detection plan from a plurality of preset detection plans based on the pipeline information; Detect the target pipeline according to the primary detection plan to obtain a first detection result; Judge whether the first detection result is accurate based on the underground pipeline laying standard; If the first detection result is accurate, use the first detection result as the final detection result; If the first detection result is inaccurate, detect the target pipeline according to the secondary detection plan to obtain a second detection result; Correct the first detection result through the second detection result to obtain the final detection result; Among them, the obtaining of the pipeline information of the target pipeline includes the following steps: Circumscribe the detection area of the target pipeline based on the underground pipeline laying standard; Randomly select a plurality of pre-exploration points in the detection area; Use a detector to pre-explore the pre-exploration points and obtain the pre-exploration result of the detector; Obtain the pipeline information of the target pipeline based on the pre-exploration result; Among them, the randomly selecting a plurality of pre-exploration points in the detection area includes the following steps: Judge whether the area graph formed by the detection area is circular; If the area graph is circular, construct a regional polar coordinate system with the center of the area graph as the origin; Randomly generate the polar coordinates of the exploration points in the regional polar coordinate system, and use the points corresponding to the polar coordinates of the exploration points in the regional polar coordinate system as the pre-exploration points; If the area graph is not circular, judge whether the area graph is rectangular; If the area graph is rectangular, construct a regional rectangular coordinate system with any vertex of the area graph as the origin; Randomly generate the coordinate points of the exploration points in the regional rectangular coordinate system, and use the points corresponding to the coordinate points of the exploration points in the regional rectangular coordinate system as the pre-exploration points.

2. The pipeline detection control method based on the Internet of Things according to claim 1, characterized in that, The method further includes the following steps: If the area graph is not rectangular, generate a virtual rectangle that covers the area graph and has the smallest area; Construct a virtual rectangular coordinate system with any vertex of the virtual rectangle as the origin; Randomly generate a plurality of virtual coordinates in the virtual rectangular coordinate system; Judge whether the virtual coordinates fall within the range of the area graph; If the virtual coordinates fall within the range of the area graph, retain the virtual coordinates; If the virtual coordinates do not fall within the range of the area graph, delete the virtual coordinates; Use the points corresponding to all the virtual coordinates in the virtual rectangular coordinate system as the pre-exploration points.

3. The pipeline detection control method based on the Internet of Things according to claim 1, characterized in that The pipeline information includes the burial depth and the pipeline type. The obtaining of the pipeline information of the target pipeline based on the pre-exploration result includes the following steps: Extract the pre-exploration depth and the pre-exploration angle from the pre-exploration result; Correct the pre-exploration depth according to the pre-exploration angle to obtain the burial depth of the target pipeline; Obtain the electromagnetic induction state of the target pipeline based on the pre-exploration result; Analyze the electromagnetic induction state to obtain the pipeline type of the target pipeline.

4. The pipeline detection control method based on the Internet of Things according to claim 3, wherein The pipeline types include metal pipelines and non-metal pipelines. The steps of selecting a primary detection scheme and a secondary detection scheme from a plurality of preset detection schemes based on the burial depth and the pipeline type are as follows: Determine whether the pipeline type is the metal pipeline or the non-metal pipeline; If the pipeline type is the non-metal pipeline, select a primary detection scheme and a secondary detection scheme from a plurality of preset detection schemes according to the burial depth; If the pipeline type is the metal pipeline, select the electromagnetic induction detection scheme as the primary detection scheme; Determine whether the burial depth is greater than a preset first depth threshold; If the burial depth is greater than the first depth threshold, select the ground penetrating radar detection scheme as the secondary detection scheme; If the burial depth is less than or equal to the first depth threshold, select the high-density electrical detection scheme as the secondary detection scheme.

5. The pipeline detection control method based on the Internet of Things according to claim 3, characterized in that, The steps of selecting a primary detection scheme and a secondary detection scheme from a plurality of preset detection schemes according to the burial depth are as follows: Determine whether the burial depth is greater than the first depth threshold; If the burial depth is less than or equal to the first depth threshold, select the sounding detection scheme as the primary detection scheme and select the high-density electrical detection scheme as the secondary detection scheme; If the burial depth is greater than the first depth threshold, select the high-density electrical detection scheme as the primary detection scheme; Determine whether the burial depth is greater than a preset second depth threshold, and the second depth threshold is greater than the first depth threshold; If the burial depth is less than or equal to the second depth threshold, select the sounding detection scheme as the secondary detection scheme; If the burial depth is greater than the second depth threshold, select the ground penetrating radar detection scheme as the secondary detection scheme.

6. An Internet of Things-based pipeline detection control system, characterized in that, It includes a memory, a processor, and a program stored on the memory and executable on the processor. When the program is loaded and executed by the processor, it can implement the pipeline detection control method based on the Internet of Things as described in any one of claims 1-5.

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