Filling pipeline resistance loss value calculation method, product, medium, and device

Abstract

The present invention relates to the technical field of filling mining. Disclosed are a filling pipeline resistance loss value calculation method, a product, a medium, and a device. The method comprises: providing a plurality of pressure sensors on a filling pipeline and acquiring detected pressure data; on the basis of the pressure data, determining the flow velocity of a fluid at each pressure sensor of the filling pipeline using a continuity equation and momentum equation of fluid mechanics; calculating the Reynolds number of the fluid at each pressure sensor on the basis of the flow velocity of the fluid at each pressure sensor; dividing the filling pipeline into a stable flow pipeline and an unstable flow pipeline by means of the Reynolds number, and calculating the length of the unstable flow pipeline; calculating the frictional resistance loss of the filling pipeline on the basis of the length of the unstable flow pipeline; and calculating the resistance loss value of the filling pipeline on the basis of the frictional resistance loss. The filling pipeline resistance loss value calculation method, the product, the medium and the device provided by the present invention can effectively improve the calculation accuracy of the resistance loss value of the filling pipeline.

Description

Filling pipeline resistance loss value calculation method, product, medium and equipment TECHNICAL FIELD

[0001] The present application relates to the technical field of filling mining, in particular to a filling pipeline resistance loss value calculation method, product, medium and equipment. BACKGROUND

[0002] Pipeline transportation is one of the most important links of filling mining, and how to safely and efficiently transport filling slurry to the underground goaf with low energy consumption is the key to pipeline transportation research. Among them, the resistance loss value is a key parameter for measuring the energy consumption in the pipeline transportation process, and energy saving is an important problem to be solved in mines. Especially in recent years, with the continuous improvement of mine production capacity, the amount of tailings produced has increased year by year, which has seriously affected the ecological environment, so the requirement for filling capacity has gradually increased, and the method of increasing filling flow rate often increases the pipe diameter or flow rate. Among them, increasing the flow rate will cause certain damage to the filling pipeline, so ensuring the quality of the filling pipeline is crucial to improving the safety of pipeline transportation. The mining industry usually uses resistance loss value to represent the quality of pipeline transportation, but due to the airtightness of the pipeline, the internal situation is limited, and the existing experimental instruments are also difficult to monitor the state of filling slurry flow in real time, which leads to slow progress in calculating resistance loss value and affects the accuracy of filling pipeline resistance loss value. Therefore, a method for accurately calculating the resistance loss value of the filling pipeline is urgently needed.

[0003] SUMMARY

[0004] The purpose of the present application is to provide a filling pipeline resistance loss value calculation method, product, medium and equipment to improve the accuracy of filling pipeline resistance loss value calculation.

[0005] To achieve the above purpose, the present application provides the following scheme:

[0006] A filling pipeline resistance loss value calculation method, comprising:

[0007] A plurality of pressure sensors are arranged on the filling pipeline, and pressure data detected is obtained;

[0008] Based on the pressure data, the continuity equation and the momentum equation of fluid mechanics are used to determine the fluid flow rate at each pressure sensor of the filling pipeline;

[0009] The Reynolds number of the fluid at each pressure sensor is calculated according to the fluid flow rate at each pressure sensor;

[0010] The filling pipeline is divided into stable flow pipeline and unstable flow pipeline by the Reynolds number, and the length of the unstable flow pipeline is calculated;

[0011] The resistance loss along the filling pipeline is calculated according to the length of the unstable flow pipeline.

[0012] The resistance loss value of the filling pipeline is calculated according to the resistance loss along the pipeline.

[0013] Optionally, the filling pipeline is an L-shaped pipeline including a vertical pipe segment and a horizontal pipe segment; a pressure sensor is arranged at the inlet of the vertical pipe segment; a plurality of pressure sensors are uniformly arranged on the horizontal pipe segment at intervals of a fixed distance.

[0014] Optionally, the fluid flow rate at each pressure sensor of the filling pipeline is determined based on the pressure data and the continuity equation and the momentum equation of fluid mechanics, and specifically includes:

[0015] the continuity equation and the momentum equation of fluid mechanics are used to determine the fluid flow rate at each pressure sensor of the filling pipeline based on the pressure data. the relationship between the fluid flow rate distribution and the fluid pressure is derived; wherein ρ is the fluid density, kg / m 3 ; A is the cross-sectional area of the filling pipeline, m 2 ; v is the fluid flow rate, m / s; t is time, s; x is the length of the filling pipeline, m; p is the fluid pressure, Pa; g is the acceleration of gravity, m / s 2 ; τ is the shear stress, Pa;

[0016] The fluid flow rate at each pressure sensor of the filling pipeline is determined according to the relationship between the fluid flow rate distribution and the fluid pressure.

[0017] Optionally, the Reynolds number of the fluid at each pressure sensor is calculated according to the fluid flow rate at each pressure sensor, and specifically includes:

[0018] The Reynolds number R e of the fluid at each pressure sensor is calculated according to the fluid flow rate v at each pressure sensor using the formula ; wherein D is the diameter of the filling pipeline, m; μ is the plastic viscosity of the fluid, Pa·s.

[0019] Optionally, the filling pipeline is divided into a stable flow pipeline and an unstable flow pipeline by the Reynolds number, and the length of the unstable flow pipeline is calculated, and specifically includes:

[0020] The Reynolds number R e 2000 is determined as the demarcation point between the stable flow pipeline and the unstable flow pipeline; the filling pipeline where each pressure sensor with a Reynolds number R e less than 2000 is determined as the stable flow pipeline; the filling pipeline where each pressure sensor with a Reynolds number R e greater than 2000 is determined as the unstable flow pipeline, and the length l 不稳 of the unstable flow pipeline is calculated.

[0021] ​Optionally, the step of calculating the friction loss along the filling pipe based on the length of the unsteady flow pipe specifically includes:

[0022] Based on the unsteady flow pipe length l 不稳 Formula I 沿 =i·(N) 倍 ·Hl 不稳 )+i 不稳 ·l 不稳 Calculate the friction loss I along the filling pipe. 沿 Where i represents the friction loss per unit length in a steady-flow pipe; i 不稳 N represents the friction loss per unit length in an unsteady flow pipe. 倍 H represents the filling multiple; H is the elevation difference between the start and end points of the filling pipeline.

[0023] Optionally, the step of calculating the resistance loss value of the filling pipe based on the friction loss along the pipeline specifically includes:

[0024] According to the friction loss I 沿 Using the multiple method through formula I 总 = (n+1)·i·(N) 倍 ·Hl 不稳 )+(n+1)·i 不稳 ·l 不稳 Calculate the resistance loss value I of the filled pipe 总 Among them, I 总 =I 沿 +I 局 Local resistance loss I 局 For friction loss I 沿 n times.

[0025] A computer program product includes a computer program that, when executed by a processor, implements the method for calculating the resistance loss value of the filling pipe.

[0026] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for calculating the resistance loss value of the filling pipe.

[0027] A computer device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for calculating the resistance loss value of the filling pipe.

[0028] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0029] The application provides a filling pipeline resistance loss value calculation method, product, medium and equipment, wherein a plurality of pressure sensors are arranged on the filling pipeline to acquire pressure data of each position of the filling pipeline in real time; then, in the process of calculating the filling pipeline resistance loss value based on the pressure data, the filling pipeline is divided into stable flow pipelines and unstable flow pipelines, and the resistance loss values corresponding to the stable flow pipelines and the unstable flow pipelines are calculated respectively, so that the filling pipeline resistance loss value is obtained. Therefore, the filling pipeline resistance loss value calculation method, product, medium and equipment provided by the application can acquire pressure data of multiple positions on the filling pipeline in real time, and effectively improve the accuracy of the filling pipeline resistance loss value calculation. BRIEF DESCRIPTION OF DRAWINGS

[0030] In order to more clearly illustrate the technical solutions of the embodiments of the present application or the prior art, the drawings needed in the embodiments will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort on the basis of these drawings.

[0031] Fig. 1 is a flowchart of the filling pipeline resistance loss value calculation method provided by the application;

[0032] Fig. 2 is a structural schematic diagram of a test system for extracting filling pipeline data in real time provided by the application;

[0033] Fig. 3 is a layout diagram of pressure sensors on the filling pipeline provided by the application;

[0034] Fig. 4 is a structural schematic diagram of a collection system provided by the application;

[0035] Fig. 5 is a schematic diagram of a demarcation point provided by the application;

[0036] Fig. 6 is a schematic diagram of a laminar flow state in the filling pipeline provided by the application;

[0037] Fig. 7 is a schematic diagram of a turbulent flow state in the filling pipeline provided by the application;

[0038] Fig. 8 is a calculation principle diagram of a filling times line provided by the application.

[0039] Symbol explanation: buffer bin - 1, storage tank - 2, vertical pipe section - 3, horizontal pipe section - 4, mixing bin - 5, overflow pipe - 6, overflow pipe elbow - 7, pumping pipeline - 8, slurry pump - 9, reducing - 10, elbow - 11. DETAILED DESCRIPTION

[0040] With reference to the accompanying drawings, the technical solutions in the embodiments of the present application will be described clearly and completely. Obviously, the described embodiments are only a part but not all of the embodiments of the present application. Based on the embodiments in the present application, all the other embodiments obtained by a person of ordinary skill in the art without creative work fall into the protection scope of the present application.

[0041] The present application aims to provide a filling pipe resistance loss value calculation method, product, medium and equipment to improve the accuracy of filling pipe resistance loss value calculation.

[0042] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0043] The sealing property of the pipe limits the observation of the internal condition of the pipe, and the existing experimental instruments are difficult to monitor the state of the filling slurry flow in real time, which leads to slow research progress of calculating the resistance loss value. Therefore, in the process of calculating the filling pipe resistance loss value, developing an experimental system for real-time extraction of filling pipe data is the key to realizing accurate calculation of the filling pipe resistance loss value. Before calculating the filling pipe resistance loss value, the present application provides an experimental system for real-time extraction of filling pipe data, which comprises a preparation system, a pipe conveying system and a collection system, and the specific structure is shown in FIG. 2.

[0044] The preparation system is the prerequisite for the success of the experiment. Due to the complexity of the filling slurry, a certain proportion of tailings, waste rock, cement and other solid materials are poured into the mixing bin 5 before the experiment starts, water is added and the stirring device is started for sufficient stirring. The stirring device cannot stop during the circulation process, and the stirring time is set to 2 minutes here.

[0045] The pipe conveying system is the main body of the whole test system. The prepared slurry in the mixing bin 5 is pumped to the buffer bin 1 on the operating platform above the test system through the pumping pipeline 8 by the slurry pump 9, and then falls into the storage tank 2. When the storage tank 2 reaches the preset liquid level, the valve below the storage tank 2 is opened to allow the slurry to fall freely into the vertical pipe section 3 of the filling pipeline. The filling pipeline is an L-shaped pipeline, including the vertical pipe section 3 and the horizontal pipe section 4. The vertical pipe section 3 is a lifting riser, which can be freely adjusted in height, facilitating the adjustment of the size of the filling line in the future. Specifically, a pressure sensor is arranged at the inlet of the vertical pipe section 3, which is the inlet of the L-shaped pipeline and is named as the "1" acquisition monitoring point. The slurry flows to the horizontal pipe section 4 through the elbow 11 below the vertical pipe section 3. A plurality of pressure sensors are uniformly arranged at intervals on the horizontal pipe section 4, and the fixed distance can be 50 cm. There are 11 acquisition monitoring points on the horizontal pipe section 4, and the specific arrangement is shown in FIG. 3. From the elbow 11 to the outlet of the horizontal pipe section 4, they are named as the "2" to "12" acquisition monitoring points. Finally, the slurry flows out from the outlet of the horizontal pipe section 4 to the mixing bin 5 below, completing a cycle. In addition, the storage tank 2 is also provided with an overflow pipe 6, which can ensure that the liquid level of the storage tank 2 remains unchanged, thereby ensuring that the upper hydraulic pressure remains unchanged.

[0046] The acquisition system is the terminal of the test system, and is the basic work for providing original data for subsequent researches such as resistance analysis and model establishment. The accuracy of the pressure sensor, the real-time of the acquisition and the reliability of the data all have great influence on the subsequent work, so this link is very important. The acquisition system of the present application comprises a data acquisition device, a gateway, a computer and a cloud database. The data acquisition device is connected with all the pressure sensors on the filling pipeline in the pipe conveying system, and is used to acquire the data in each pressure sensor, and then transmits the data to the computer through the gateway, and finally stores the data in the cloud database. The specific structure is shown in FIG. 4.

[0047] As shown in FIG. 1, based on the test system for real-time extraction of filling pipeline data provided by the present application, the present application further provides a filling pipeline resistance loss value calculation method, comprising:

[0048] Step 1: setting a plurality of pressure sensors on the filling pipeline and acquiring the detected pressure data.

[0049] Specifically, the pressure sensors are arranged as described above in the test system. One pressure sensor is arranged at the inlet of the vertical pipe section 3; a plurality of pressure sensors are uniformly arranged at intervals on the horizontal pipe section 4. The pressure data at each position on the filling pipeline is acquired in real time by the plurality of pressure sensors.

[0050] Step 2: based on the pressure data, the continuity equation and the momentum equation of fluid mechanics are used to determine the fluid flow rate at each pressure sensor of the filling pipeline.

[0051] The resistance loss in the pipeline transportation refers to the energy loss of the fluid due to pipe friction, fluid flow speed variation, and other reasons when the fluid is transported through the pipeline. This phenomenon can be analyzed by fluid mechanics theory.

[0052] According to the theory of fluid mechanics, the flow of fluid in the pipeline is affected by resistance, which mainly includes wall friction resistance and internal friction resistance of the fluid. Wall friction resistance is caused by the friction between the fluid and the pipeline wall, while internal friction resistance of the fluid is caused by the speed difference between different layers of fluid.

[0053] Based on the pressure data obtained in step 1, the relationship between the flow velocity distribution of the fluid in the filling pipeline and the fluid pressure, i.e., the relationship between the flow velocity distribution of the fluid and the fluid pressure loss, can be derived by the continuity equation and momentum equation of fluid mechanics.

[0054] The continuity equation describes the mass conservation relationship of the fluid in the filling pipeline, specifically:

[0055] where ρ is the fluid density, kg / m 3 ; A is the cross-sectional area of the filling pipeline, m 2 ; v is the fluid flow velocity, m / s; t is time, s; x is the length of the filling pipeline, m.

[0056] The momentum equation describes the momentum conservation relationship of the fluid in the filling pipeline, specifically:

[0057] where p is the fluid pressure, Pa; g is the acceleration of gravity, m / s 2 ; τ is the shear stress, Pa.

[0058] According to the relationship between the fluid flow velocity distribution and the fluid pressure, the fluid flow velocity v at each pressure sensor of the filling pipeline can be determined. Specifically, the relationship between the flow velocity and the length of the filling pipeline can be obtained according to the momentum equation, thereby deriving the flow velocity distribution. At the same time, by integrating the momentum equation, the relationship between the pressure loss of the fluid in the filling pipeline and the flow velocity, the length of the pipeline, the wall friction resistance of the pipeline, and other factors can be obtained. These relationships can help engineers and researchers better understand the behavior of the fluid in the filling pipeline, provide theoretical support for the design and optimization of the pipeline transportation system, and further analyze the causes of resistance loss in the pipeline transportation process.

[0059] Step 3: Calculate the Reynolds number of the fluid at each pressure sensor based on the fluid flow velocity at each pressure sensor.

[0060] The engineering commonly used Reynolds number (Reynolds number) and other dimensionless parameters are used to analyze the pipeline transportation resistance loss. These parameters can describe the flow state of the fluid and the friction resistance inside the fluid, thereby helping to analyze the size and causes of the pipeline transportation resistance loss.

[0061] Reynolds number R e is an important dimensionless parameter for describing the flow state of the fluid, which can be used to determine whether the flow state of the fluid is laminar flow or turbulent flow. The specific calculation formula is:

[0062] Wherein, D is the diameter of the filling pipeline, m; μ is the plastic viscosity of the fluid, Pa·s.

[0063] Step 4: The filling pipeline is divided into stable flow pipeline and unstable flow pipeline by the Reynolds number, and the length of the unstable flow pipeline is calculated.

[0064] After the Reynolds number R e of the fluid at each pressure sensor is obtained, the filling pipeline is divided into stable flow pipeline and unstable flow pipeline, and the length of the unstable flow pipeline is calculated, thereby modifying the traditional filling pipeline resistance loss value calculation formula, and adding the part of the unstable flow pipeline calculation.

[0065] Through the above test system, a plurality of tests are carried out, it is found that there is a point in each test horizontal pipe section 4, the Reynolds number of each point before the point is greater than 2000, and the Reynolds number of each point after the point is less than 2000, so the Reynolds number R e 2000 is determined as the demarcation point of the stable flow pipeline and the unstable flow pipeline (at this time, the turbulent flow and the transition flow are collectively identified as unstable flow), and the demarcation point position is shown in FIG. 5. The filling pipeline where each pressure sensor with the Reynolds number R e less than 2000 is determined as the stable flow pipeline. When the Reynolds number R e is less than 2000, the flow state of the fluid is laminar flow, the fluid presents a relatively orderly flow state in the filling pipeline, the flow line is basically parallel, the flow velocity distribution is uniform, and the viscosity plays a dominant role, as shown in FIG. 6. The filling pipeline where each pressure sensor with the Reynolds number R e greater than 2000 is determined as the unstable flow pipeline. When the Reynolds number R e is greater than 4000, the Reynolds number R e exceeds a certain threshold value, the flow state of the fluid is turbulent flow, the fluid presents a chaotic and irregular flow state in the pipeline, there are rotation, vortex and other phenomena, the flow velocity distribution is uneven, and there is a large turbulent motion inside the fluid, as shown in FIG. 7. It is proved that the horizontal pipe section 4 has the phenomenon of unstable flow, and the Reynolds number Re The demarcation point is found, and the length of the unstable flow pipe l is determined according to the position of the demarcation point and the interval distance of the pressure sensor 不稳 The mass concentration of the slurry in the filling pipe is calculated, and then the mass concentration of the slurry in the filling pipe is determined according to the following formula.

[0066] Wherein, c is the mass concentration, %; N 倍 is the filling multiple.

[0067] For the filling multiple, the tailings filling pipe is usually transported by gravity flow, and the filling multiple is usually used to represent the filling range that can be achieved by gravity flow. The filling multiple represents the engineering characteristics of the mine filling pipe and is one of the key factors for the gravity flow of the mine filling slurry. It is very important for the engineering design and production management of the filling slurry transportation system. Therefore, the control of the flow rate can be realized in the test system from the perspective of the filling multiple. The fixed length of the horizontal pipe section 4 is 6 m, and the height of the vertical pipe section 3 is changed to change the size of the filling multiple. The calculation diagram is shown in FIG. 8, and the formula is as follows:

[0068] Wherein, H is the height difference between the starting point and the ending point of the filling pipe; L is the total length of the pipeline including the equivalent length of the pipe fittings such as the elbow 11. In FIG. 8, L=L1+L2+L3+L4+L5.

[0069] The filling multiple of the pipe gravity flow is generally not greater than 6. If the filling multiple is too large, the filling slurry concentration needs to be reduced, or the pressurized transportation method is used for transportation. Since the invention chooses gravity flow, four filling multiples of 3, 4, 5 and 6 are set in the subsequent experiments.

[0070] By judging the Reynolds number, the flow state of the fluid in the filling pipe can be preliminarily understood. In the analysis of the pipe transportation resistance loss, the Reynolds number value can determine the flow state of the fluid, so as to select the appropriate fluid mechanics model to calculate the resistance loss. Therefore, the pipe transportation provides a theoretical basis for the design and operation of the pipe transportation system. Therefore, through the analysis of the fluid mechanics equation and the dimensionless parameter, the generation mechanism of the pipe transportation resistance loss can be deeply understood, and the theoretical support is provided for the optimization of the pipe transportation system.

[0071] Step 5: Calculate the resistance loss of the filling pipe according to the length of the unstable flow pipe.

[0072] The resistance loss value of the filling pipe is composed of the resistance loss along the straight pipe section (both the vertical pipe section 3 and the horizontal pipe section 4 are calculated as straight pipes) and the local resistance loss at the position of the elbow 11 and the like, as shown in the following formula: 总 = I 沿 + I 局 (6)

[0073] wherein, the local resistance loss I 局 The value of I 局 = nI 沿 So I 总 = (n+1)I 沿 And because of the existence of the unstable flow pipe, the frictional resistance loss I 沿 is divided into the stable frictional resistance loss I 稳沿 and the unstable frictional resistance loss I 不稳沿 And because I 稳沿 = i(l 总 -l 不稳 ), wherein i is the stable flow pipe unit length frictional resistance loss, mH2O / m; l 总 represents the total length of the filling pipe, m; so the filling pipe resistance loss value is as follows: I 总 = (n+1)·i·(l 总 -l 不稳 )+(n+1)·I 不稳沿 (7)

[0074] Because the stable flow pipe unit length frictional resistance loss and the unstable flow pipe unit length frictional resistance loss are different, the hydraulic gradient of the unstable flow needs to be calculated according to the stable flow pipe unit length frictional resistance loss i, which is as follows:

[0075] After calculation, the following formula is obtained:

[0076] Wherein, τ0 is the yield stress, Pa; μ is the plastic viscosity, Pa·s.

[0077] The correlation coefficient R 2 of formula (9) is 0.97, which proves that the formula has high correlation and strong applicability.

[0078] Finally, the unstable flow pipe unit length frictional resistance loss is calculated as follows:

[0079] Specifically, the derivation process of the stable flow pipe unit length frictional resistance loss i is as follows:

[0080] In the field of mining industry experimental research, the ratio of the pressure difference ΔP of the filling pipe with length l and diameter D to l is generally set as the unit length frictional resistance loss, and according to the statics balance theory, the pressure difference of the filling pipe with length l is equal to the inner wall frictional resistance of the filling pipe with length l, which is as follows: 0.25πD 2x ΔP = πD x τ x l (11)

[0081] The above formula can be arranged as follows:

[0082] The average flow velocity of the filling slurry under the pipe transportation condition can be calculated by the Buckingham formula, as shown in the following formula:

[0083] For the filling slurry with a large concentration flowing in the pipe, because the movement speed is fast, it can be considered that the yield stress of the high-concentration filling slurry is much smaller than the shear stress, and the high-order power of τ0 / τ can be approximately considered as zero, which can be ignored. Therefore, the above formula can be arranged as follows:

[0084] By combining formula (12) and formula (14), formula (15) can be obtained:

[0085] Step 6: Calculate the filling pipe resistance loss value according to the frictional resistance loss along the way.

[0086] By combining formula (7) and formula (15), the total pipe resistance loss can be obtained as shown in the following formula:

[0087] In the formula, l 总 The filling multiple N 倍 is the product of the height difference between the starting point and the ending point of the filling pipe, that is, l 总 =N 倍 ·H, so the above formula can be represented as:

[0088] Since I 不稳沿 =i 不稳 ·l 不稳 , the above formula can be finally arranged as:

[0089] As a specific embodiment, the mixing bin 5 needs to be modified according to the field conditions and test scheme, the mixing bin 5 needs to be left with a waste cleaning port for the convenience of cleaning test waste, and needs to be left with a waste water outlet for flushing clean when each test group is completed. The four lifting risers with an outer diameter of 325 mm, an inner diameter of 300 mm, and a height of 800 mm, 1100 mm, 1600 mm and 2600 mm are selected. In order to ensure that the horizontal pipe section 4 is full of pipe operation, the filling slurry needs to be transported from the thick pipe section to the thin pipe section, so the four variable diameters 10 corresponding to the four lifting risers are configured, which are Φ325-Φ108, Φ325-Φ159, Φ325-Φ219 and Φ325-Φ273. Here, Φ108, Φ159, Φ219 and Φ273 are the outer diameters of the lifting risers, and the inner diameters are Φ100, Φ150, Φ200 and Φ250. Four elbows 11 are also configured for the four variable diameters 10. In addition, a steel pipe with an inner diameter of 200 mm (outer diameter of Ф219) is additionally configured to facilitate resistance loss analysis when the material changes. Since the slurry needs to be pumped into the storage tank 2, a pump with corresponding lift needs to be configured. The pump can not only solve the problem of large flow, but also handle the problem of stone particle jamming the impeller, and successfully complete the pumping task of 20 m 3 / h-550 m 3 / h high concentration slurry. The upper storage tank 2 can also be called a stable flow length buffer bin 1, which can effectively alleviate the problems of pipe flow and pressure fluctuation caused by the impact of large flow slurry. The pressure sensor is arranged at the inlet of the vertical pipe section 3, and the pumping speed is adjusted through the pressure sensor to realize fine adjustment of the liquid level height of the vertical pipe, stabilize the liquid level height of the riser, and ensure the constant pressure state of the test section pipe. The DN100, DN150, DN200 and DN250 lifting risers most widely used in actual production are used for actual working condition simulation experiments, which are closer to the actual working condition and prevent deviation of theoretical calculation. The device information involved is shown in Table 1.

[0090] Table 1 Device Information

[0091] Based on the test system structure shown in Figure 2, DN100, DN150, DN200, DN250 four riser pipes are used to simulate the actual working condition, and only the reducer 10 and the elbow 11 are different in the simulation experiment, the DN100 scheme uses the reducer accessory with serial number 7 and the elbow accessory with serial number 11 in Table 1, the DN150 scheme uses the reducer accessory with serial number 8 and the elbow accessory with serial number 12 in Table 1, the DN200 scheme uses the reducer accessory with serial number 9 and the elbow accessory with serial number 13 in Table 1, and the DN250 scheme uses the reducer accessory with serial number 10 and the elbow accessory with serial number 14 in Table 1. The overflow pipe 6 of the system is a pipe with a diameter of 150, and the pipeline directly extends into the mixing bin 5. In addition, the test system also designs four schemes for four levels of filling multiples. When the filling multiple is 3, the height of the vertical pipe inlet from the lower end of the horizontal pipe is 3000mm, and since the fixed length of the horizontal pipe section 4 is 6000mm, the vertical pipe height can be calculated. According to this method, when the filling multiple is 4, the height of the vertical pipe inlet from the lower end of the horizontal pipe is 2000mm; when the filling multiple is 5, the height of the vertical pipe inlet from the lower end of the horizontal pipe is 1500mm; and when the filling multiple is 6, the height of the vertical pipe inlet from the lower end of the horizontal pipe is 1200mm. When the filling multiple is 3, the riser pipe with serial number 6 in Table 1 is used, and the height is 2600mm; when the filling multiple is 4, the riser pipe with serial number 5 in Table 1 is used, and the height is 1600mm; when the filling multiple is 5, the riser pipe with serial number 4 in Table 1 is used, and the height is 1100mm; and when the filling multiple is 6, the riser pipe with serial number 3 in Table 1 is used, and the height is 800mm. The simulation experiment is carried out based on the above device selection.

[0092] The test system of the present application aims to extract real-time data of the pipeline transportation pressure of the filling slurry, and a steel pipe is used for pipeline transportation in the filling site. Although the wear resistance of the steel pipe is very good, the test phenomenon and the flow pattern in the pipe cannot be observed, so the present test selects a transparent organic glass pipe for the experiment. The transparent material can provide convenience for the observation of the flow pattern and other work.

[0093] In summary, the filling pipeline resistance loss value calculation method, product, medium and equipment provided by the present application can effectively improve the accuracy of the filling pipeline resistance loss value calculation.

[0094] In addition, the present application also provides a computer program product, which includes a computer program, and the computer program realizes the steps of the filling pipeline resistance loss value calculation method when executed by a processor.

[0095] Further, the present application also provides a computer readable storage medium, which stores a computer program, and the computer program realizes the steps of the filling pipeline resistance loss value calculation method when executed by a processor.

[0096] Further, the present application also provides a computer device comprising a processor, a memory, an input / output interface (I / O), a communication interface, and a computer program stored in the memory and executable on the processor, the processor executing the computer program to implement the steps of the filling pipe resistance loss value calculation method.

[0097] The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is configured to provide calculation and control capabilities. The memory of the computer device comprises a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The database of the computer device is configured to store to-be-processed transactions. The input / output interface of the computer device is configured to exchange information between the processor and external devices. The communication interface of the computer device is configured to communicate with external terminals through a network connection. The computer program is executed by the processor to implement the filling pipe resistance loss value calculation method.

[0098] It should be noted that the object information (including but not limited to object device information, object personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the object or fully authorized by all parties, and the collection, use and processing of related data need to comply with relevant laws, regulations and standards of relevant countries and regions.

[0099] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when the computer program is executed, the processes of the above-mentioned embodiments of the methods can be included. Any reference to memory, database or other medium used in the embodiments provided by the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided by the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided by the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0100] Any combination of the technical features of the above embodiments can be made. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combination of the technical features does not exist, it should be considered as the scope of the present application.

[0101] The principles and implementation modes of the present application are described by using specific examples in this paper, and the above-mentioned embodiments are only used to help understand the method and core idea of the present application; at the same time, for those skilled in the art, according to the idea of the present application, the specific implementation mode and application range will be changed. In conclusion, the content of the present application should not be understood as a limitation.

Claims

1. A method of calculating a packed pipe resistance loss value, characterized by, The method comprises the following steps: a plurality of pressure sensors are arranged on the filling pipeline, and pressure data detected thereby are acquired; based on the pressure data, fluid flow rates at the pressure sensors of the filling pipeline are determined by using continuity equation and momentum equation of fluid mechanics; Reynolds numbers of the fluids at the pressure sensors are calculated according to the fluid flow rates at the pressure sensors; the filling pipeline is divided into a stable flow pipeline and an unstable flow pipeline by the Reynolds numbers, and a length of the unstable flow pipeline is calculated; a resistance loss along the filling pipeline is calculated according to the length of the unstable flow pipeline; a resistance loss value of the filling pipeline is calculated according to the resistance loss along the filling pipeline.

2. The method of claim 1, wherein The filling pipeline is an L-shaped pipeline comprising a vertical pipeline segment and a horizontal pipeline segment; one pressure sensor is arranged at an inlet of the vertical pipeline segment; a plurality of pressure sensors are uniformly arranged on the horizontal pipeline segment at intervals of a fixed distance.

3. The method of claim 1, wherein The method of determining the fluid flow rates at the pressure sensors of the filling pipeline based on the pressure data by using continuity equation and momentum equation of fluid mechanics specifically comprises the following steps: Based on pressure data, employing the continuity equation of fluid mechanics and momentum equations deriving a relationship between fluid flow rate distribution and fluid pressure; wherein p is fluid density, kg / m 3 ; A is filling pipe cross-sectional area, m 2 ; v is fluid flow rate, m / s; t is time, s; x is filling pipe length, m; p is fluid pressure, Pa; g is gravitational acceleration, m / s 2 ; τ is shear stress, Pa; the fluid flow rates at the pressure sensors of the filling pipeline are determined according to a relationship between fluid flow rate distribution and fluid pressure.

4. The method of claim 3, wherein The method of calculating the Reynolds numbers of the fluids at the pressure sensors of the filling pipeline according to the fluid flow rates at the pressure sensors specifically comprises the following steps: According to the fluid flow rate v at each pressure sensor, the formula The method of dividing the filling pipeline into the stable flow pipeline and the unstable flow pipeline by the Reynolds numbers and calculating the length of the unstable flow pipeline specifically comprises the following steps: Reynolds number R of the fluid at each pressure sensor e ; where D is the diameter of the fill pipe, m; and μ is the plastic viscosity of the fluid, Pa-s.

5. The method of claim 4, wherein, The method of calculating the resistance loss along the filling pipeline according to the length of the unstable flow pipeline specifically comprises the following steps: determining the Reynolds number R e corresponding to the pressure sensor of 2000 is the demarcation point of the stable flow pipe and the unstable flow pipe; the Reynolds number R e of each pressure sensor less than 2000 is determined as the stable flow pipe; the Reynolds number R e of each pressure sensor greater than 2000 is determined as the unstable flow pipe, and the length l 不稳 of the unstable flow pipe is calculated.

6. The method of claim 5, wherein, The method of calculating the resistance loss value of the filling pipeline according to the resistance loss along the filling pipeline specifically comprises the following steps: Based on the unsteady flow pipe length l 不稳 Formula I 沿 =i·(N) 倍 ·Hl 不稳 )+i 不稳 ·l 不稳 Calculate the friction loss I along the filling pipe. 沿 Where i represents the friction loss per unit length in a steady-flow pipe; i 不稳 N represents the friction loss per unit length in an unsteady flow pipe. 倍 H represents the filling multiple; H is the elevation difference between the start and end points of the filling pipeline.

7. The method of claim 6, wherein, The computer program is executed by the processor to implement the method of calculating the resistance loss value of the filling pipeline according to any one of claims 1-7. According to the resistance loss I 沿 , the filling pipe resistance loss value I 总 is calculated by formula I 倍 =(n+1)·i·(N 不稳 ·H-l 不稳 )+(n+1)·i 不稳 ·l 总 ; wherein I 总 =I 沿 +I 局 , the local resistance loss I 局 is n times of the resistance loss I 沿 .

8. A computer program product comprising a computer program, characterized in that, The computer program is executed by the processor to implement the method of calculating the resistance loss value of the filling pipeline according to any one of claims 1-7.

9. A computer readable storage medium having stored thereon a computer program, characterized in that, The memory, the processor and the computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the method of calculating the resistance loss value of the filling pipeline according to any one of claims 1-7.

10. A computer device comprising: ​

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