Method for calculating resistance loss value of filling pipeline, product, medium and equipment

Abstract

The invention discloses a filling pipeline resistance loss value calculation method, a product, a medium and equipment, and relates to the technical field of filling mining. The method comprises the following steps: arranging a plurality of pressure sensors on a filling pipeline and acquiring detected pressure data; based on the pressure data, a continuity equation and a momentum equation of fluid mechanics are adopted to determine the fluid flow speed of each pressure sensor of the filling pipeline; calculating the Reynolds number of the fluid at each pressure sensor according to the fluid flow velocity at each pressure sensor; dividing the filling pipeline into a steady flow pipeline and an unstable flow pipeline through Reynolds number, and calculating the length of the unstable flow pipeline; calculating the on-way resistance loss of the filling pipeline according to the length of the unstable flow pipeline; and calculating the resistance loss value of the filling pipeline according to the on-way resistance loss. According to the method, the product, the medium and the equipment for calculating the resistance loss value of the filling pipeline, the accuracy of calculating the resistance loss value of the filling pipeline can be effectively improved.

Description

Technical Field

[0001] The invention relates to the technical field of filling mining, and in particular to a method, product, medium and equipment for calculating resistance loss value of a filling pipeline. Background Art

[0002] Pipeline transportation is one of the most important links in filling mining. How to transport the filling slurry to the underground goaf with low energy consumption, safety and efficiency is the key to pipeline transportation research. Among them, the resistance loss value is the key parameter to measure the energy consumption in the pipeline transportation process, and energy saving and consumption reduction are important issues that mines need to solve urgently. Especially in recent years, with the continuous improvement of mine production capacity, the tailings generated have increased year by year, which has seriously affected the ecological environment, so the requirements for filling capacity have gradually increased, and the method of increasing the filling flow rate is often to increase the pipe diameter or increase the 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 characterize the quality of the pipeline transportation link, but due to the airtightness of the pipeline, the observation of the internal situation is limited, and the existing experimental instruments are also difficult to monitor the flow state of the filling slurry in real time, resulting in slow progress in research such as calculating the resistance loss value, which affects the accuracy of the resistance loss value of the filling pipeline. Therefore, there is an urgent need for a method that can accurately calculate the resistance loss value of the filling pipeline. Summary of the invention

[0003] The purpose of the present invention 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.

[0004] To achieve the above object, the present invention provides the following solutions:

[0005] A method for calculating a filling pipeline resistance loss value, comprising:

[0006] A plurality of pressure sensors are arranged on the filling pipeline and the detected pressure data are obtained;

[0007] Based on the pressure data, the continuity equation and momentum equation of fluid mechanics are used to determine the fluid flow rate at each pressure sensor in the filling pipeline;

[0008] Calculating the Reynolds number of the fluid at each pressure sensor according to the flow rate of the fluid at each pressure sensor;

[0009] The filling pipeline is divided into a stable flow pipeline and an unstable flow pipeline by using the Reynolds number and the length of the unstable flow pipeline is calculated;

[0010] The resistance loss along the filling pipeline is calculated according to the length of the unstable flow pipeline;

[0011] The filling pipeline resistance loss value is calculated based on the resistance loss along the way.

[0012] Optionally, the filling pipe is an L-shaped pipe, including a vertical pipe section and a horizontal pipe section; a pressure sensor is provided at the inlet of the vertical pipe section; and a plurality of pressure sensors are evenly arranged at fixed intervals on the horizontal pipe section.

[0013] Optionally, the method of determining the fluid flow rate at each pressure sensor of the filling pipeline based on the pressure data by using the continuity equation and momentum equation of fluid mechanics specifically includes:

[0014] Based on the pressure data, the continuity equation of fluid mechanics is used and the momentum equation The relationship between fluid velocity distribution and fluid pressure is derived; where ρ is the fluid density, kg / m 3 ; A is the cross-sectional area of ​​the filling pipe, m 2 ; v is the fluid velocity, m / s; t is the time, s; x is the length of the filling pipe, m; p is the fluid pressure, Pa; g is the gravitational acceleration, m / s 2 ; τ is shear stress, Pa;

[0015] The fluid flow rate at each pressure sensor in the filling pipeline is determined based on the relationship between the fluid flow rate distribution and the fluid pressure.

[0016] Optionally, calculating the Reynolds number of the fluid at each pressure sensor according to the fluid flow rate at each pressure sensor specifically includes:

[0017] According to the fluid flow rate v at each pressure sensor, the formula Calculate the Reynolds number R of the fluid at each pressure sensor e ; Wherein, D is the filling pipe diameter, m; μ is the plastic viscosity of the fluid, Pa·s.

[0018] Optionally, dividing the filling pipeline into a stable flow pipeline and an unstable flow pipeline by using the Reynolds number and calculating the length of the unstable flow pipeline specifically includes:

[0019] Determine the Reynolds number R e The pressure sensor corresponding to 2000 is the dividing point between the stable flow pipeline and the unstable flow pipeline; the Reynolds number R e The filling pipes where the pressure sensors are located are determined to be stable flow pipes. e The filling pipes where the pressure sensors are located with a pressure greater than 2000 are determined as unstable flow pipes, and the length of the unstable flow pipe l is calculated. 不稳 .

[0020] Optionally, the calculation of the resistance loss along the filling pipeline according to the length of the unstable flow pipeline specifically includes:

[0021] According to the unstable flow pipe length l 不稳 The formula Ialong = i·(N times·Hlunstable)+iunstable·lunstable is used to calculate the resistance loss I along the filling pipeline. 沿 ; where i is the resistance loss per unit length along the steady flow pipeline; i 不稳 N is the resistance loss per unit length along the unstable flow pipeline; 倍 is the filling double line; H is the height difference between the starting point and the end point of the filling pipeline.

[0022] Optionally, the calculation of the filling pipeline resistance loss value according to the resistance loss along the way specifically includes:

[0023] According to the resistance loss along the way I 沿 , the filling pipeline resistance loss value I is calculated by the formula Itotal = (n+1)·i·(N times·Hlunstable)+(n+1·iunstable·lunstable) 总 ; Among them, I 总 =I 沿 +I 局 , local resistance loss I 局 is the resistance loss along the way I 沿 n times of .

[0024] A computer program product comprises a computer program, which implements the filling pipeline resistance loss value calculation method when executed by a processor.

[0025] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the filling pipeline resistance loss value calculation method.

[0026] A computer device comprises: 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 filling pipeline resistance loss value calculation method.

[0027] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0028] The present invention provides a filling pipeline resistance loss value calculation method, product, medium and equipment, by setting multiple pressure sensors on the filling pipeline to obtain real-time pressure data at various locations of the filling pipeline; then in the process of calculating the filling pipeline resistance loss value based on the pressure data, the filling pipeline is divided into a stable flow pipeline and an unstable flow pipeline, and the resistance loss values ​​corresponding to the stable flow pipeline and the unstable flow pipeline are calculated respectively, thereby obtaining the filling pipeline resistance loss value. Therefore, the filling pipeline resistance loss value calculation method, product, medium and equipment provided by the present invention can obtain real-time pressure data at multiple locations on the filling pipeline, effectively improving the accuracy of the filling pipeline resistance loss value calculation. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0030] Figure 1 A schematic diagram of a flow chart of a method for calculating a filling pipeline resistance loss value provided by the present invention;

[0031] Figure 2 A schematic diagram of the structure of a test system for extracting filling pipeline data in real time provided by the present invention;

[0032] Figure 3 A layout diagram of the pressure sensor on the filling pipe provided by the present invention;

[0033] Figure 4 A schematic diagram of the structure of the acquisition system provided by the present invention;

[0034] Figure 5 A schematic diagram of a demarcation point provided by the present invention;

[0035] Figure 6 A schematic diagram of the laminar flow state in the filling pipe provided by the present invention;

[0036] Figure 7 A schematic diagram of the turbulent flow state in the filling pipe provided by the present invention;

[0037] Figure 8 This is a schematic diagram of the filling multiple calculation principle provided by the present invention.

[0038] Explanation of symbols:

[0039] Buffer bin—1, storage box—2, vertical pipe section—3, horizontal pipe section—4, mixing bin—5, overflow pipe—6, overflow pipe elbow—7, pumping pipe—8, mud pump—9, reducer—10, elbow—11. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] The purpose of the present invention 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.

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

[0043] The airtightness of the pipeline limits the observation of the internal conditions of the pipeline, and it is difficult for existing experimental instruments to monitor the flow state of the filling slurry in real time, resulting in slow progress in the calculation of resistance loss values. Therefore, in the process of calculating the resistance loss value of the filling pipeline, developing a test system for extracting the filling pipeline data in real time is the key to accurately calculating the resistance loss value of the filling pipeline. Before calculating the resistance loss value of the filling pipeline, the present invention provides a test system for extracting the filling pipeline data in real time, including: a preparation system, a pipeline system and a collection system, the specific structure of which is as follows: Figure 2 shown.

[0044] Among them, the preparation system is the prerequisite for the success of the test. Due to the complexity of the filling slurry, a certain proportion of solid materials such as tailings, waste rock, cement, etc. must be poured into the mixing bin 5 before the test begins, water is added and the stirring device is started for sufficient stirring. The stirring device cannot be stopped during the circulation process. The stirring time is set to 2 minutes here.

[0045] The pipeline system is the main body of the entire test system. The slurry prepared in the mixing bin 5 is pumped through the mud pump 9 to the buffer bin 1 on the operating platform above the test system through the pumping pipe 8, and then falls into the storage box 2. When the storage box 2 reaches the preset liquid level, open the valve below the storage box 2 to allow the slurry to freely fall into the vertical pipe section 3 of the filling pipe. Among them, the filling pipe is an L-shaped pipe, including a vertical pipe section 3 and a horizontal pipe section 4. The vertical pipe section 3 is a lifting riser that can be freely extended and retracted to adjust the height, which is convenient for adjusting the size of the filling line in the future. Specifically, a pressure sensor is set at the entrance of the vertical pipe section 3 as the entrance of the L-shaped pipe, named as the "1" collection monitoring point. The slurry passes through the elbow 11 under the vertical pipe section 3 and flows to the horizontal pipe section 4. Among them, a plurality of pressure sensors are evenly arranged at fixed intervals on the horizontal pipe section 4, and the fixed distance can be 50 cm. There are a total of 11 collection monitoring points on the horizontal pipe section 4, and the specific layout is as follows Figure 3 As shown, the monitoring points from the elbow 11 to the outlet of the horizontal pipe section 4 are named "2" to "12". 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 upper 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 it is the basic work to provide raw data for subsequent research such as resistance analysis and model building. The accuracy of the pressure sensor, the real-time acquisition, and the reliability of the data have a great impact on the subsequent work, so this link is crucial. The acquisition system of the present invention includes: a data collector, a gateway, a computer, and a cloud database. Among them, the data collector is respectively connected to all the pressure sensors on the filling pipeline in the pipeline system, and is used to collect data from each pressure sensor, which is then transmitted to the computer through the gateway, and finally the data is stored in the cloud database. The specific structure is as follows Figure 4 shown.

[0047] like Figure 1 As shown, based on the test system for extracting filling pipeline data in real time provided by the present invention, the present invention also provides a method for calculating the resistance loss value of the filling pipeline, including:

[0048] Step 1: Set up multiple pressure sensors on the filling pipeline and obtain the detected pressure data.

[0049] Specifically, the pressure sensor is arranged as described in the above test system, a pressure sensor is arranged at the inlet of the vertical pipe section 3, and multiple pressure sensors are evenly arranged at fixed intervals on the horizontal pipe section 4. The pressure data at various locations on the filling pipeline are obtained in real time through multiple pressure sensors.

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

[0051] The resistance loss in pipeline transportation refers to the energy loss caused by pipeline friction, changes in fluid flow velocity, etc. when the fluid is transported through the pipeline. This phenomenon can be analyzed through the theory of fluid mechanics.

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

[0053] Based on the pressure data obtained in step 1, the relationship between the fluid velocity distribution and the fluid pressure in the filling pipe, that is, the relationship between the fluid velocity distribution and the fluid pressure loss, can be derived through the continuity equation and momentum equation of fluid mechanics.

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

[0055]

[0056] Where ρ is the fluid density, kg / m 3 ; A is the cross-sectional area of ​​the filling pipe, m 2 ; v is the fluid flow rate, m / s; t is the time, s; x is the filling pipe length, m.

[0057] The momentum equation describes the conservation of momentum of the fluid in the filled pipe, specifically:

[0058]

[0059] Where p is the fluid pressure, Pa; g is the acceleration due to gravity, m / s 2 ; τ is shear stress, Pa.

[0060] The fluid velocity v at each pressure sensor in the filling pipeline can be determined based on the relationship between the fluid velocity distribution and the fluid pressure. Specifically, the relationship between the flow velocity and the length of the filling pipeline can be obtained based on the momentum equation, thereby deducing 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 factors such as the flow velocity, pipeline length, and pipeline wall friction resistance 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 during pipeline transportation.

[0061] Step 3: Calculate the Reynolds number of the fluid at each pressure sensor according to the fluid flow rate at each pressure sensor.

[0062] In engineering, dimensionless parameters such as Reynolds number are often used to analyze 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 cause of pipeline transportation resistance loss.

[0063] Reynolds number R e It is an important dimensionless parameter that describes the flow state of a fluid. It can be used to determine whether the flow state of the fluid is laminar or turbulent. The specific calculation formula is:

[0064]

[0065] Where D is the filling pipe diameter, m; μ is the plastic viscosity of the fluid, Pa·s.

[0066] Step 4: Divide the filling pipeline into a stable flow pipeline and an unstable flow pipeline according to the Reynolds number and calculate the length of the unstable flow pipeline.

[0067] The present invention obtains the Reynolds number R of the fluid at each pressure sensor. e Finally, the filling pipeline is divided into a stable flow pipeline and an unstable flow pipeline and the length of the unstable flow pipeline is calculated, so as to modify the traditional filling pipeline resistance loss value calculation formula and add the unstable flow pipeline calculation part.

[0068] The present invention has carried out multiple tests through the above test system, and found that there is a point in the horizontal pipe section 4 of each test, the Reynolds number of each point before this point is greater than 2000, and the Reynolds number of each point after this point is less than 2000, so the Reynolds number R is determined. e The pressure sensor corresponding to 2000 is the dividing point between the stable flow pipeline and the unstable flow pipeline (in this case, turbulent flow and transition flow are uniformly identified as unstable flow). The dividing point position is shown in the following example: Figure 5 As shown. e The filling pipe where each pressure sensor is located is determined to be a stable flow pipe. e When it is less than 2000, the flow state of the fluid is laminar flow. The fluid presents a relatively orderly flow state in the filling pipe, the streamlines are basically parallel, the flow velocity is evenly distributed, and the viscosity effect is dominant. Figure 6 As shown. e The filling pipe where each pressure sensor is located with a pressure greater than 2000 is determined to be an unstable flow pipe. e When the Reynolds number R is greater than 4000 eWhen the flow exceeds a certain threshold, the fluid is in turbulent state. The fluid in the pipeline presents a chaotic and irregular flow state, with rotation, eddy current and other phenomena. The flow velocity distribution is uneven, and there is a large turbulent motion inside the fluid, such as Figure 7 As shown. This confirms that there is an unstable flow in the horizontal pipe section 4. Using the Reynolds number R of the fluid at each pressure sensor calculated in step 3 e , find the dividing point, and change the unstable flow pipeline length l according to the dividing point position and the pressure sensor spacing. 不稳 It is calculated and then the mass concentration of the slurry in the filling pipe is determined according to the following formula.

[0069]

[0070] Where c is mass concentration, %; N 倍 To fill the double line.

[0071] For the filling multiple, the tailings filling pipeline transportation mostly adopts gravity transportation, and the filling multiple is often used to indicate the filling range that can be achieved by gravity transportation. The filling multiple characterizes the engineering characteristics of the mine filling pipeline, and is one of the key factors for whether the mine filling slurry can be transported by gravity. It is very important for the engineering design and production management of the filling slurry transportation system. Therefore, the flow rate can be controlled from the perspective of the filling multiple in the test system. Assuming that the fixed length of the horizontal pipe section 4 is 6m, the size of the filling multiple can be changed by changing the height of the vertical pipe section 3. The calculation diagram is shown as follows: Figure 8 As shown, the formula is as follows:

[0072]

[0073] Wherein, H is the height difference between the starting point and the end point of the filling pipeline; L is the total length of the pipeline including the converted length of the elbow 11 and other pipe fittings. Figure 8 In the example, L=L1+L2+L3+L4+L5.

[0074] The filling multiple of pipeline gravity conveying is generally not greater than 6. If the filling multiple is too large, the filling slurry concentration needs to be reduced, or pressure conveying is used. Since the present invention selects gravity conveying, four filling multiples are set in subsequent experiments, namely 3, 4, 5 and 6.

[0075] By judging the Reynolds number, we can get a preliminary understanding of the flow state of the fluid in the filling pipeline. When analyzing the pipeline transportation resistance loss, the Reynolds number can determine the fluid flow state, so as to select a suitable fluid mechanics model to calculate the resistance loss. It provides a theoretical basis for the design and operation of the pipeline transportation system. Therefore, through the analysis of fluid mechanics equations and dimensionless parameters, pipeline transportation can deeply understand the generation mechanism of pipeline transportation resistance loss and provide theoretical support for optimizing the pipeline transportation system.

[0076] Step 5: Calculate the resistance loss along the filling pipeline based on the length of the unstable flow pipeline.

[0077] The resistance loss value of the filling pipeline is composed of the resistance loss along the straight pipe section (the vertical pipe section 3 and the horizontal pipe section 4 are both considered straight pipes) and the local resistance loss mainly at the connection positions such as the elbow 11, as shown in the following formula:

[0078] I total = I edge + I round (6)

[0079] Among them, the local resistance loss I 局 The value of can be calculated according to the multiple method, that is, according to the multiple of the filling pipeline resistance loss value. The present invention selects I bureau = nI edge, so I total = (n+1)I edge, and due to the existence of unstable flow pipeline, the resistance loss along the way is I 沿 It is divided into stable resistance loss along the way Istable and unstable resistance loss along the way Iunstable. Because Istable = i·(ltotal-lunstable), i is the resistance loss along the way per unit length of the stable flow pipeline, mH2O / m; l 总 Represents the total length of the filling pipeline, m; so the filling pipeline resistance loss value is as follows:

[0080] Itotal=(n+1)·i·(ltotal-lunstable)+(n+1)·Iunstable edge (7)

[0081] Since the resistance loss per unit length of a stable flow pipeline is different from the resistance loss per unit length of an unstable flow pipeline, the hydraulic gradient of the unstable flow needs to be corrected and calculated based on the resistance loss per unit length of the stable flow pipeline i, as follows:

[0082]

[0083] After calculation, we get the following formula:

[0084]

[0085] Wherein, τ0 is the yield stress, Pa; μ is the plastic viscosity, Pa·s.

[0086] After calculation, the correlation coefficient R of formula (9) 2 The value is 0.97, which proves that the formula has high correlation and strong applicability.

[0087] Finally, the resistance loss per unit length of the unstable flow pipeline is calculated as follows:

[0088]

[0089] Specifically, the derivation process of the resistance loss i per unit length along the steady flow pipeline is as follows:

[0090] In the field of mining industry experimental research, the ratio of the pressure difference ΔP at both ends of a filling pipe with a length of l and a diameter of D to l is generally set as the resistance loss along the unit length. According to the static equilibrium theory, the pressure difference at both ends of the filling pipe with a length of l is equal to the friction resistance of the inner wall of the filling pipe with a length of l, as shown in the following formula:

[0091] 0.25πD 2 ×ΔP=πD×τ×l (11)

[0092] The above formula can be rearranged to obtain:

[0093]

[0094] The average flow rate under the condition of filling slurry pipeline transportation can be calculated by Buckingham formula, as shown below:

[0095]

[0096] When the filling slurry with high concentration flows in the pipe, due to its fast movement speed, 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 to be zero and can be ignored here, so the above formula can be sorted into the following formula:

[0097]

[0098] Combining equations (12) and (14) yields equation (15):

[0099]

[0100] Step 6: Calculate the filling pipeline resistance loss value based on the resistance loss along the way.

[0101] By combining equations (7) and (15), the total resistance loss of the pipeline can be obtained as shown in the following equation:

[0102]

[0103] In the formula, l 总 Filling line N 倍 It is expressed as the product of the height difference between the starting point and the end point of the filling pipeline, that is, l 总 =N 倍 ·H, so the above formula can be expressed as:

[0104]

[0105] Because I 不稳沿 =i 不稳 ·l 不稳 , so the above formula can be finally arranged as:

[0106]

[0107] As a specific embodiment, the mixing bin 5 needs to be modified according to the site conditions and the test plan. In order to facilitate the cleaning of the test waste, the mixing bin 5 needs to leave a waste outlet. After each group of tests is completed, it needs to be flushed with clean water, so a waste water outlet needs to be left. The present invention selects four lifting risers with an outer diameter of 325mm, an inner diameter of 300mm, and heights of 800mm, 1100mm, 1600mm, and 2600mm respectively. In order to ensure that the horizontal pipe section 4 is fully operational, the filling slurry needs to be transported from the thick pipe section to the thin pipe section. Therefore, the present invention configures four reducers 10 corresponding to the four lifting risers, which are Φ325~Φ108, Φ325~Φ159, Φ325~Φ219 and Φ325~Φ273, respectively. Here, Φ108, Φ159, Φ219, Φ273 are the outer diameters of the lifting risers, and the inner diameters are Φ100, Φ150, Φ200, Φ250. Four elbows 11 are also configured for the four reducers 10. An additional steel pipe with an inner diameter of 200mm (outer diameter of Φ219) is configured to facilitate the analysis of resistance loss when the material changes later. Since the slurry needs to be pumped into the storage box 2, a pump with a corresponding lift is required. The pump can not only solve the problem of large flow, but also deal with the problem of stone particles in the slurry getting stuck in the impeller, and successfully complete 20m 3 / h~550m 3 / h high-concentration slurry pumping task. The storage box 2 arranged on the upper part can also be called a stable flow length buffer bin 1, which can effectively alleviate the problems of pipeline flow and pressure fluctuation caused by the impact phenomenon of large-flow slurry. A pressure sensor is arranged at the inlet of the vertical pipe section 3. The pumping speed is adjusted by the pressure sensor to achieve fine adjustment of the vertical pipeline liquid level, stabilize the height of the riser liquid level, and ensure the constant pressure state of the test section pipeline. The present invention uses the DN100, DN150, DN200, and DN250 lifting risers that are most widely used in actual production to conduct simulation experiments of actual working conditions, which are closer to actual working conditions and prevent deviations in theoretical calculations. The device information involved is specifically shown in Table 1.

[0108] Table 1 Device information

[0109]

[0110]

[0111]

[0112] based on Figure 2The test system structure shown uses four lifting risers of DN100, DN150, DN200 and DN250 to conduct simulation experiments of actual working conditions. In the simulation experiments, only the reducer 10 and the elbow 11 are different. The DN100 scheme uses the reducer fittings of serial number 7 and the elbow fittings of serial number 11 in Table 1, the DN150 scheme uses the reducer fittings of serial number 8 and the elbow fittings of serial number 12 in Table 1, the DN200 scheme uses the reducer fittings of serial number 9 and the elbow fittings of serial number 13 in Table 1, and the DN250 scheme uses the reducer fittings of serial number 10 and the elbow fittings of serial number 14 in Table 1. The overflow pipe 6 set in the system has a pipe diameter of 150, and the pipeline directly extends to the mixing chamber 5. In addition, the test system also designed four sets of schemes for the 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. Since the fixed length of horizontal pipe section 4 is 6000mm, the height of the vertical pipe 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; 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 rate is 3, the lifting pipe No. 6 in Table 1 is used, and the height is 2600mm; when the filling rate is 4, the lifting pipe No. 5 in Table 1 is used, and the height is 1600mm; when the filling rate is 5, the lifting pipe No. 4 in Table 1 is used, and the height is 1100mm; when the filling rate is 6, the lifting pipe No. 3 in Table 1 is used, and the height is 800mm. A simulation experiment was performed based on the above device selection.

[0113] The test system of the present invention is intended to extract real-time data of the pipeline transportation pressure of the filling slurry. Steel pipes are used for pipeline transportation at the filling site. Although the wear resistance of steel pipes is very good, it is impossible to observe the test phenomenon and the flow state in the pipe. Therefore, this test selects a transparent plexiglass tube for the experiment. The transparent material can facilitate the observation of the flow state and other tasks.

[0114] In summary, the method, product, medium and equipment for calculating the resistance loss value of a filling pipeline provided by the present invention can effectively improve the accuracy of calculating the resistance loss value of a filling pipeline.

[0115] In addition, the present invention also provides a computer program product, including a computer program, which implements the steps of the method for calculating the resistance loss value of the filling pipeline when the computer program is executed by a processor.

[0116] Furthermore, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method for calculating the resistance loss value of a filling pipeline.

[0117] Furthermore, the present invention also provides a computer device, including a processor, a memory, an input / output interface (Input / Output, referred to as I / O), a communication interface, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method for calculating the filling pipeline resistance loss value.

[0118] The processor, memory and 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 used to provide computing and control capabilities. The memory of the computer device includes 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 operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store pending transactions. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, the filling pipeline resistance loss value calculation method is implemented.

[0119] 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 used for analysis, stored data, displayed data, etc.) involved in the present invention are all information and data authorized by the object or fully authorized by all parties, and the collection, use and processing of relevant data need to comply with relevant laws, regulations and standards of relevant countries and regions.

[0120] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided by the present invention 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 memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access 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 and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided by the present invention may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited thereto. The processor involved in each embodiment provided by the present invention may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited thereto.

[0121] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0122] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A method for calculating the resistance loss value of a filling pipeline, characterized in that: include: A plurality of pressure sensors are arranged on the filling pipeline and the detected pressure data are obtained; Based on the pressure data, the continuity equation and momentum equation of fluid mechanics are used to determine the fluid flow rate at each pressure sensor in the filling pipeline; Calculating the Reynolds number of the fluid at each pressure sensor according to the flow rate of the fluid at each pressure sensor; The filling pipeline is divided into a stable flow pipeline and an unstable flow pipeline by using the Reynolds number and the length of the unstable flow pipeline is calculated; The resistance loss along the filling pipeline is calculated according to the length of the unstable flow pipeline; The filling pipeline resistance loss value is calculated based on the resistance loss along the way.

2. The filling pipeline resistance loss value calculation method according to claim 1 is characterized in that: The filling pipeline is an L-shaped pipeline, including a vertical pipe section and a horizontal pipe section; a pressure sensor is arranged at the inlet of the vertical pipe section; and a plurality of pressure sensors are evenly arranged at fixed intervals on the horizontal pipe section.

3. The method for calculating the filling pipeline resistance loss value according to claim 1, characterized in that: The method of determining the fluid flow rate at each pressure sensor in the filling pipeline based on the pressure data by using the continuity equation and momentum equation of fluid mechanics specifically includes: Based on the pressure data, the continuity equation of fluid mechanics is used and the momentum equation The relationship between fluid velocity distribution and fluid pressure is derived; where ρ is the fluid density, kg / m 3 ; A is the cross-sectional area of ​​the filling pipe, m 2 ; v is the fluid velocity, m / s; t is the time, s; x is the length of the filling pipe, m; p is the fluid pressure, Pa; g is the gravitational acceleration, m / s 2 ; τ is shear stress, Pa; The fluid flow rate at each pressure sensor in the filling pipeline is determined based on the relationship between the fluid flow rate distribution and the fluid pressure.

4. The method for calculating the filling pipeline resistance loss value according to claim 3 is characterized in that: Calculating the Reynolds number of the fluid at each pressure sensor according to the fluid flow rate at each pressure sensor specifically includes: According to the fluid flow rate v at each pressure sensor, the formula Calculate the Reynolds number R of the fluid at each pressure sensor e ; Wherein, D is the filling pipe diameter, m; μ is the plastic viscosity of the fluid, Pa·s.

5. The filling pipeline resistance loss value calculation method according to claim 4 is characterized in that: The method of dividing the filling pipeline into a stable flow pipeline and an unstable flow pipeline by using the Reynolds number and calculating the length of the unstable flow pipeline specifically includes: Determine the Reynolds number R e The pressure sensor corresponding to 2000 is the dividing point between the stable flow pipeline and the unstable flow pipeline; the Reynolds number R e The filling pipes where the pressure sensors are located are determined to be stable flow pipes. e The filling pipes where the pressure sensors are located with a pressure greater than 2000 are determined as unstable flow pipes, and the length of the unstable flow pipe l is calculated. 不稳 .

6. The method for calculating the filling pipeline resistance loss value according to claim 5, characterized in that: The calculation of the resistance loss along the filling pipeline according to the length of the unstable flow pipeline specifically includes: According to the unstable flow pipe length l 不稳 The formula Ialong = i·(N times·Hlunstable)+iunstable·lunstable is used to calculate the resistance loss I along the filling pipeline. 沿 ; where i is the resistance loss per unit length along the steady flow pipeline; i 不稳 N is the resistance loss per unit length along the unstable flow pipeline; 倍 is the filling double line; H is the height difference between the starting point and the end point of the filling pipeline.

7. The filling pipeline resistance loss value calculation method according to claim 6 is characterized in that: The calculation of the filling pipeline resistance loss value according to the resistance loss along the way specifically includes: According to the resistance loss along the way I 沿 , the filling pipeline resistance loss value I is calculated by the formula Itotal = (n+1)·i·(N times·Hlunstable)+(n+1·iunstable·lunstable) 总 ; Among them, I 总 =I 沿 +I 局 , local resistance loss I 局 is the resistance loss along the way I 沿 n times of .

8. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for calculating the filling pipeline resistance loss value described in any one of claims 1 to 7 is implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for calculating the filling pipeline resistance loss value described in any one of claims 1 to 7 is implemented.

10. A computer device comprising: 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 filling pipeline resistance loss value calculation method according to any one of claims 1 to 7.

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