A method and apparatus for predicting the plugging of a pipeline

Abstract

The application discloses a kind of filling pipeline pipe block prediction method and device.Compared with prior art, the application is arranged by monitoring point in filling pipeline to collect filling pipeline pressure and flow, the energy loss and friction loss of filling pipeline are calculated, then the resistance coefficient of filling pipeline is obtained according to the calculation result, further, the blockage rate prediction model of filling pipeline is constructed, the quantitative characterization of traditional pipeline pipe block degree is realized, and the basis for the prevention measures of pipe block accident is provided.Secondly, the measurement method of the application is simple, and the implementability is strong, and only pressure sensor and flowmeter can complete monitoring, without increasing other auxiliary equipment, reduce the complexity of filling pipeline pipe block prediction system.Thirdly, the data of the prediction method of the application is comprehensive, and the timeliness is strong, can build filling pipeline monitoring network, analyzes and evaluates the conveying state in time, provides a good foundation for the digitization of filling system.

Description

Technical Field

[0001] This invention relates to the field of pipeline condition prediction technology, specifically to a method and apparatus for predicting pipe blockage in filled pipelines. Background Technology

[0002] In the backfilling mining process, backfill slurry is transported to the goaf through backfilling pipelines to meet the technical requirements of mine ground pressure management. Due to factors such as excessively thick backfill slurry and the introduction of foreign matter, backfilling pipelines are prone to blockage accidents, affecting mine production and causing economic losses.

[0003] Currently, research on the management of oil and natural gas transportation is relatively mature, but research on pipe blockage in filled pipelines is relatively limited, mainly focusing on theoretical research, which has significant limitations. Furthermore, in terms of field applications, the focus is primarily on detection and handling measures after a blockage occurs, lacking effective technical means to predict pipe blockage accidents in filled pipelines.

[0004] Therefore, there is an urgent need to develop a method for predicting pipe blockage in filling pipelines, so as to predict pipe blockage accidents, reduce the occurrence of blockage accidents from the root, and ensure safe production in mines. Summary of the Invention

[0005] This application provides a method and apparatus for predicting pipe blockage in filling pipelines, thereby addressing the problem that existing pipe blockage handling methods mainly focus on detection and treatment measures after a blockage accident occurs, which cannot reduce the occurrence of blockage accidents at their root.

[0006] To achieve the above objectives, this application adopts the following technical solution.

[0007] On the one hand, a method for predicting pipe blockage in filling pipelines is provided, including the following steps:

[0008] The blockage probability k of the filled pipe can be obtained using the following formula:

[0009] k = alan(ξ) + b;

[0010] In the formula, a is the first coefficient, with a value range of 0.08 to 0.12, and b is the second coefficient, with a value range of 0.2 to 0.5.

[0011] ξ is the resistance coefficient of the filling pipe, ξ = 1.2(hh) f )D 4 g / Q 2 Q is the flow rate of the filling slurry, D is the diameter of the filling pipe, and g is the acceleration due to gravity.

[0012] h represents the energy loss of the filling pipe, h = (p1 - p2) / ρg; p1 is the pressure value measured at the first monitoring point, p2 is the pressure value measured at the second monitoring point, and ρ is the density of the filling slurry;

[0013] h f To compensate for the friction loss in the pipeline, h f =(5.3τ) y / D+40.8Qμ / D 4 )l / ρg;τ y denoted as the yield stress of the filling slurry, μ as the viscosity of the filling slurry, and l as the distance between the first pressure monitoring point and the second pressure monitoring point.

[0014] On the other hand, a predictive device for pipe blockage in a filling pipe is provided, comprising a first pressure sensor, a second pressure sensor, a flow sensor, and a processor. The first pressure sensor and the second pressure sensor are arranged at intervals along the length of the filling pipe. The first pressure sensor is used to acquire the pressure value at a first monitoring point, the second pressure sensor is used to acquire the pressure value at a second monitoring point, and the flow sensor is used to acquire the flow rate of the filling slurry in the filling pipe.

[0015] The processor is used to obtain the blockage probability k of the filling pipe using the following formula:

[0016] k = alan(ξ) + b;

[0017] In the formula, a is the first coefficient, with a value range of 0.08 to 0.12, and b is the second coefficient, with a value range of 0.2 to 0.5.

[0018] ξ is the resistance coefficient of the filling pipe, ξ = 1.2(hh) f )D 4 g*Q 2 Q is the flow rate of the filling slurry, D is the diameter of the filling pipe, and g is the acceleration due to gravity.

[0019] h represents the energy loss of the filling pipe, h = (p1 - p2) / ρg; p1 is the pressure value measured at the first monitoring point, p2 is the pressure value measured at the second monitoring point, and ρ is the density of the filling slurry;

[0020] h f To compensate for the friction loss in the pipeline, h f =(5.3τ) y / D+40.8Qμ / D 4 )l / ρg;τ y denoted as the yield stress of the filling slurry, μ as the viscosity of the filling slurry, and l as the distance between the first pressure monitoring point and the second pressure monitoring point.

[0021] This application has at least the following technical effects or advantages:

[0022] 1. By collecting pressure and flow rate data of the filling pipeline through monitoring points, the energy loss and friction loss of the filling pipeline are calculated. Then, the resistance coefficient of the filling pipeline is obtained based on the calculation results. Furthermore, a blockage rate prediction model for the filling pipeline is constructed to achieve a quantitative characterization of the degree of blockage in traditional pipelines and provide a basis for prevention measures for blockage accidents.

[0023] 2. The measurement method is simple and highly feasible. It only requires a pressure sensor and a flow meter to complete the monitoring without adding other auxiliary equipment, thus reducing the complexity of the pipe blockage prediction system for filling pipelines.

[0024] 3. The data is comprehensive and timely, enabling the construction of a filling pipeline monitoring network to analyze and evaluate the transportation status in real time, providing a solid foundation for the digitalization of the filling system. Attached Figure Description

[0025] Figure 1 This is a flowchart illustrating a method for predicting pipe blockage during filling, as described in one embodiment of this application.

[0026] Figure 2 This is a schematic diagram showing the location of each monitoring point in one embodiment of this application;

[0027] Figure 3 This is a schematic diagram of the rheological test results of the filler slurry in one embodiment of this application;

[0028] Figure 4 This is a schematic diagram of the drag coefficient fitting results in one embodiment of this application;

[0029] Figure 5 This is a schematic diagram of the blocking rate fitting results in one embodiment of this application. Detailed Implementation

[0030] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.

[0031] Example 1

[0032] See Figure 1 and Figure 2 In this embodiment, the diameter of the filling pipeline in a certain mine is 150mm, and the density of the filling slurry is 1980kg / m³. 3 The filler slurry has a yield stress of 45.4 Pa and a viscosity of 0.23 Pa·s.

[0033] In this embodiment, a method for predicting pipe blockage in a filling pipeline includes the following steps:

[0034] Step S1: Set up two pressure monitoring points (first monitoring point 2 and third monitoring point 3) on the filling pipe 1, with a spacing l of 95m between adjacent monitoring points. Collect pressure data at each monitoring point, which are 1190kPa and 980kPa respectively. Set up a filling slurry flow monitoring point 4 on the filling pipe 1 and record the flow rate at the monitoring point as 80.9m³. 3 / h.

[0035] Step S2: Calculate the energy loss of the filling pipe, determined by equation (1):

[0036] h=(p1-p2) / ρg (1)

[0037] In the formula: h is the energy loss of the filling pipe, m; ρ is the density of the filling slurry, kg / m³ 3 p1 and p2 are the pressures at the monitoring points, in kPa; g is the acceleration due to gravity, in m / s². 2 .

[0038] Calculations show that the energy loss of the filling pipe is 10.82m.

[0039] It should be noted that the energy loss calculation formula for filling pipelines is an existing formula.

[0040] Step S3: Calculate the friction loss of the filling pipe, determined by equation (2):

[0041] h f =(5.3τ) y / D+40.8Qμ / D 4 )l / ρg (2)

[0042] Where: h f To compensate for the frictional loss in the pipeline, m; τ y ρ is the yield stress of the filling slurry, Pa; μ is the viscosity of the filling slurry, Pa·s; Q is the flow rate of the filling slurry, m³ / s. 3 / h; D is the diameter of the filling pipe, mm; l is the distance between pressure monitoring points, m.

[0043] The calculated friction loss of the filling pipe is 9.89m.

[0044] It should be noted that the formula for calculating the friction loss of the filled pipe can be obtained using the following method:

[0045] Rheological tests of the filling slurry were conducted using a rheometer, and the experimental data were obtained. (See attached data.) Figure 3 .

[0046] Based on the experimental results, the rheological model of the filling slurry was fitted and determined as follows:

[0047] In the formula: τ is the shear stress, Pa; Let s be the shear rate. -1 ;τ y ρ is the yield stress of the filling slurry, Pa; μ is the viscosity of the filling slurry, Pa·s;

[0048] The flow of the filling slurry follows the energy equation for viscous fluids, expressed as follows:

[0049]

[0050] Where: h f The pressure at the filling pipe is m; p1 and p2 are the pressures at the monitoring points, Pa; z1 and z2 are the locations at the monitoring points, m; v1 and v2 are the velocities at the monitoring points, m / s; ρ is the density of the filling slurry, kg / m³. 3 g is the acceleration due to gravity, in m / s². 2 .

[0051] Because the filling slurry is flowing horizontally across the entire pipe, z1 = z2 and v1 = v2.

[0052]

[0053] Therefore, the energy equation can be simplified to

[0054]

[0055] In the formula: D is the diameter of the filling pipe, mm; l is the distance between pressure monitoring points, m.

[0056] At the contact surface between the filling slurry and the filling pipe, the flow velocity of the filling slurry is zero, therefore

[0057]

[0058] In the formula: Q is the flow rate of the filling slurry, in m³. 3 / h;

[0059] Combining the two formulas above, we obtain:

[0060] h f =(5.3τ) y / D+40.8Qμ / D 4 )l / ρg.

[0061] Step S4: Calculate the resistance coefficient of the filling pipe, determined by equation (3):

[0062] ξ=1.2(hh f )D 4 g / Q 2 (3) In the formula: ξ is the resistance coefficient of the filling pipe.

[0063] The resistance coefficient of the filling pipe is calculated to be 10.98.

[0064] It should be noted that the formula for calculating the resistance coefficient of the filling pipe is obtained according to the following method:

[0065] A ring pipe test system was used to conduct a filling slurry delivery test, and the test data were obtained. See [link to relevant documentation]. Figure 4 The fitting experiment results are as follows: In the formula: ξ is the resistance coefficient of the filling pipe.

[0066] After transformation, we obtain ξ = 1.2(hh) f )D 4 g / Q 2 .

[0067] Step S5: Calculate the blockage rate of the filling pipe, determined by equation (4):

[0068] k = 0.1ln(ξ) + 0.34 (4)

[0069] Calculations show that the blockage rate of the filling pipe is 57.94%.

[0070] It should be noted that the formula for calculating the resistance coefficient of the filling pipe is obtained according to the following method:

[0071] Define congestion rate In the formula: k is the blockage rate; D′ is the effective pipe diameter after the filling pipe is blocked.

[0072] Based on the results of the filling slurry conveying test, see Figure 5 The fitting experiment result is k = alan(ξ) + b; where: the value of a ranges from 0.08 to 0.12; and the value of b ranges from 0.2 to 0.5.

[0073] Example 2

[0074] In this embodiment, the diameter of the backfill pipeline in a certain mine is 100mm, and the density of the backfill slurry is 1870kg / m³. 3 The filler slurry has a yield stress of 38.5 Pa and a viscosity of 0.12 Pa·s.

[0075] In this embodiment, a method for predicting pipe blockage in a filling pipeline includes the following steps:

[0076] Step S1: Set up two pressure monitoring points (first monitoring point 2 and third monitoring point 3) on the filling pipeline 1, with a spacing l of 400m between adjacent monitoring points. Collect pressure data at each monitoring point, which are 3010kPa and 1240kPa respectively. Set up a filling slurry flow monitoring point 4 on the filling pipeline and record the flow rate at the monitoring point as 120.5m³. 3 / h.

[0077] Step S2: Energy loss during pipe filling, determined by equation (1):

[0078] h=(p1-p2) / ρg (1)

[0079] In the formula: h is the energy loss of the filling pipe, m; ρ is the density of the filling slurry, kg / m³ 3 p1 and p2 are the pressures at the monitoring points, in kPa; g is the acceleration due to gravity, in m / s². 2 .

[0080] Calculations show that the energy loss of the filling pipeline is 96.58m.

[0081] Step S3: The friction loss of the filling pipe is determined by equation (2):

[0082] h f =(5.3τ) y / D+40.8Qμ / D 4 )l / ρg (2)

[0083] Where: h f To compensate for the frictional loss in the pipeline, m; τ y ρ is the yield stress of the filling slurry, Pa; μ is the viscosity of the filling slurry, Pa·s; Q is the flow rate of the filling slurry, m³ / s. 3 / h; D is the diameter of the filling pipe, mm; l is the distance between pressure monitoring points, m.

[0084] The calculated friction loss of the filling pipe is 80.3m.

[0085] Step S4: The resistance coefficient of the filling pipe is determined by equation (3):

[0086] ξ=1.2(hh f )D 4 g / Q 2 (3)

[0087] In the formula: ξ is the resistance coefficient of the filling pipe.

[0088] The resistance coefficient of the filling pipe is calculated to be 17.08.

[0089] Step S5: The blockage rate of the filling pipe is determined by equation (4):

[0090] k = 0.1ln(ξ) + 0.34 (4)

[0091] Calculations show that the blockage rate of the filled pipes is 62.38%.

[0092] Numerous specific details are set forth in the specification provided herein. However, it will be understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques have not been shown in detail so as not to obscure the understanding of this specification.

[0093] Similarly, it should be understood that, in order to streamline this disclosure and aid in understanding one or more of the various aspects of the invention, in the above description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof. However, this method of disclosure should not be interpreted as reflecting an intention that the claimed invention requires more features than expressly recited in each claim. Rather, as reflected in the claims, inventive aspects lie in fewer than all features of a single foregoing disclosed embodiment. Therefore, the claims following the detailed description are hereby expressly incorporated into that detailed description, wherein each claim itself is a separate embodiment of the invention.

[0094] Those skilled in the art will understand that the modules, units, or groups of devices in the examples disclosed herein can be arranged in the device as described in this embodiment, or alternatively, can be located in one or more devices different from the device in this example. The modules in the foregoing examples can be combined into a single module or further divided into multiple sub-modules.

[0095] Those skilled in the art will understand that modules in the device of the embodiments can be adaptively changed and placed in one or more devices different from that embodiment. Modules, units, or groups in the embodiments can be combined into a single module, unit, or group, and further, they can be divided into multiple sub-modules, sub-units, or sub-groups. Except where at least some of such features and / or processes or units are mutually exclusive, any combination can be used to combine all features disclosed in this specification (including the accompanying claims, abstract, and drawings) and all processes or units of any method or device so disclosed. Unless expressly stated otherwise, each feature disclosed in this specification (including the accompanying claims, abstract, and drawings) may be replaced by an alternative feature that serves the same, equivalent, or similar purpose.

[0096] Furthermore, those skilled in the art will understand that although some embodiments described herein include certain features but not others included in other embodiments, combinations of features from different embodiments are intended to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments can be used in any combination.

[0097] Furthermore, some of the embodiments described herein are methods or combinations of method elements that can be implemented by a processor of a computer system or by other means of performing the functions. Therefore, a processor having the necessary instructions for implementing the methods or method elements forms means for implementing the methods or method elements. Furthermore, the elements described herein in the apparatus embodiments are examples of means for implementing the functions performed by elements for the purposes of carrying out the invention.

[0098] The various techniques described herein can be implemented in combination with hardware or software, or a combination thereof. Thus, the methods and apparatus of the present invention, or certain aspects or portions thereof, can take the form of program code (i.e., instructions) embedded in a tangible medium, such as a floppy disk, CD-ROM, hard disk, or any other machine-readable storage medium, wherein when the program is loaded into and executed by a machine such as a computer, the machine becomes an apparatus for practicing the present invention.

[0099] When the program code is executed on a programmable computer, the computing device generally includes a processor, a processor-readable storage medium (including volatile and non-volatile memory and / or storage elements), at least one input device, and at least one output device. The memory is configured to store program code; the processor is configured to execute the method of the present invention according to instructions in the program code stored in the memory.

[0100] By way of example, and not limitation, computer-readable media include computer storage media and communication media. Computer storage media stores information such as computer-readable instructions, data structures, program modules, or other data. Communication media generally embodies computer-readable instructions, data structures, program modules, or other data in the form of modulated data signals such as carrier waves or other transmission mechanisms, and includes any information delivery medium. Any combination of the above is also included within the scope of computer-readable media.

[0101] As used herein, unless otherwise specified, the use of ordinal numbers such as “first,” “second,” “third,” etc., to describe ordinary objects merely indicates different instances of similar objects and is not intended to imply that the objects being described must have a given order in time, space, ordering, or any other manner.

[0102] Although the invention has been described with reference to a limited number of embodiments, those skilled in the art will understand from the foregoing description that other embodiments are conceivable within the scope of the invention described herein. Furthermore, it should be noted that the language used in this specification has been chosen primarily for readability and instructional purposes, and not for the purpose of interpreting or limiting the subject matter of the invention. Therefore, many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the appended claims. The disclosure of the invention is illustrative and not restrictive, and the scope of the invention is defined by the appended claims.

[0103] Finally, it should be noted that this invention does not explain in detail the common knowledge recognized by those skilled in the art. The above description is only a specific embodiment of this invention and is not intended to limit this invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this invention should be included within the protection scope of this invention.

Claims

1. A method for predicting pipe blockage in a filling pipeline, comprising the following steps: The blockage probability k of the filled pipe can be obtained using the following formula: k = a ln(ξ) + b; In the formula, a is the first coefficient, with a value range of 0.08 to 0.12, and b is the second coefficient, with a value range of 0.2 to 0.

5. ξ is the resistance coefficient of the filling pipe, ξ = 1.2(hh) f )D 4 g / Q 2 Q is the flow rate of the filling slurry, D is the diameter of the filling pipe, and g is the acceleration due to gravity. h represents the energy loss of the filling pipe, h = (p1 - p2) / ρg; p1 is the pressure value measured at the first monitoring point, p2 is the pressure value measured at the second monitoring point, and ρ is the density of the filling slurry; h f To compensate for the friction loss in the pipeline, h f =(5.3τ) y / D+40.8Qμ / D 4 )l / ρg;τ y denoted as the yield stress of the filling slurry, μ as the viscosity of the filling slurry, and l as the distance between the first pressure monitoring point and the second pressure monitoring point.

2. A predictive device for pipe blockage during filling, characterized in that: It includes a first pressure sensor, a second pressure sensor, a flow sensor, and a processor. The first pressure sensor and the second pressure sensor are arranged at intervals along the length of the filling pipe. The first pressure sensor is used to acquire the pressure value at a first monitoring point, the second pressure sensor is used to acquire the pressure value at a second monitoring point, and the flow sensor is used to acquire the flow rate of the filling slurry in the filling pipe. The processor is used to obtain the blockage probability k of the filling pipe using the following formula: k = a ln(ξ) + b; In the formula, a is the first coefficient, with a value range of 0.08 to 0.12, and b is the second coefficient, with a value range of 0.2 to 0.

5. ξ is the resistance coefficient of the filling pipe, ξ = 1.2(hh) f )D 4 g / Q 2 Q is the flow rate of the filling slurry, D is the diameter of the filling pipe, and g is the acceleration due to gravity. h represents the energy loss of the filling pipe, h = (p1 - p2) / ρg; p1 is the pressure value measured at the first monitoring point, p2 is the pressure value measured at the second monitoring point, and ρ is the density of the filling slurry; h f To compensate for the friction loss in the pipeline, h f =(5.3τ) y / D+40.8Qμ / D 4 )l / ρg;τ y denoted as the yield stress of the filling slurry, μ as the viscosity of the filling slurry, and l as the distance between the first pressure monitoring point and the second pressure monitoring point.

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