Method for automatically adjusting agent dosage based on bottom mud flocculation effect

Abstract

The invention discloses an intelligent bottom mud dosing method capable of automatically adjusting the dosing amount based on the flocculation effect, which comprises the following steps: S1, constructing a data table in a debugging stage: collecting the pipeline mud inlet density and the pipeline mud inlet flow velocity, and calculating the maximum average mud inlet density, the minimum average mud inlet density, the maximum average mud inlet flow velocity and the minimum average mud inlet flow velocity; dividing the average sludge feeding density into n gears, dividing the average sludge feeding flow velocity into m gears, manually debugging the adding amount of a flocculation agent until the optimal flocculation effect is achieved, and collecting the occurrence frequency of the maximum amplitude to form a data table; s2, collecting the pipeline sludge inlet density, the pipeline sludge inlet flow speed and the occurrence frequency of the maximum amplitude in the operation stage; and S3, automatically controlling the adding amount of the flocculating agent according to the collected data and the data table. According to the method, automatic, real-time and accurate bottom mud dosing is realized, and the control precision and the real-time control capability of the dosing amount of the flocculating agent are improved.

Description

Technical Field

[0001] The invention belongs to the technical field of intelligent control, and in particular relates to a method for automatically adjusting the dosage of a reagent based on the flocculation effect of bottom mud. Background Art

[0002] In the river and lake sediment dredging project, the dredged sediment has a high water content and the treatment process is complicated. Therefore, it is necessary to add flocculants to the dredged sediment to make the sediment quickly flocculate into clumps for easy dehydration and shorten the construction period.

[0003] In recent years, the addition of flocculants to dredged sludge generally requires manual operation. According to the density of the dredged sludge, the dosage of flocculants is manually controlled. However, the density of dredged sludge is not fixed, and frequent manual judgment of the current sludge flocculation effect is required, which requires a large amount of manpower. The problem of poor flocculation effect caused by the untimely adjustment of the dosage of flocculants or inaccurate manual operation often occurs, which not only consumes excessive flocculants, but also seriously affects the dewatering capacity of the sludge, thereby affecting the quality of the project. Therefore, there is an urgent need for an unmanned, real-time, and accurate method of adding sludge drugs to quickly flocculate the dredged sludge into agglomerates. Summary of the invention

[0004] In view of the problems existing in the prior art, the present invention provides a method for automatically, in real time and accurately adjusting the dosage of a reagent based on the flocculation effect of the sediment.

[0005] To this end, the present invention adopts the following technical solutions:

[0006] A method for automatically adjusting the dosage of a reagent based on the flocculation effect of sediment comprises the following steps:

[0007] S1, building a data table during the commissioning of the sediment intelligent dosing system, including the following steps:

[0008] S11, from the beginning to the end of the mud pipe feeding process, the sampling frequency f ρ Collect the pipeline mud density ρ in the T time period, then the total collected in the T time period is (f ρ T) pipeline mud density data, this (f ρ T) pipeline mud density data are collected in the order of collection to form a set A 1 ;

[0009] Continuously collect the pipeline mud density in N time periods T, and obtain the set A = {A 1 ,A 2 ,…,A N}; Traverse set A and calculate set A i Medium (f ρ The average pipeline mud density of T) pipeline mud density Get Collection Will gather The average pipeline mud density with the largest value is taken as the maximum average mud density ρ max The minimum average pipeline mud density is taken as the minimum average mud density ρ min ;

[0010] During the process from the beginning to the end of the mud flow in the bottom mud pipeline, the sampling frequency f v Collect the pipeline mud flow rate v in the T time period, then collect a total of (f v T) pipeline mud flow rate data, this (f v T) pipeline mud flow rate data are collected in the order of collection to form a set B 1 ;

[0011] Continuously collect the pipeline mud flow rate in N time periods T, and obtain the set B = {B 1 ,B 2 ,…,B N}; Traverse set B and calculate set B j Medium (f v The average mud flow rate of each pipeline Get Collection Will gather The average pipeline mud flow rate with the largest value is taken as the maximum average mud flow rate v max The minimum average mud inlet velocity v is the minimum average mud inlet velocity v min ;

[0012] S12, according to the accuracy requirements and the maximum average mud density ρ obtained from S11 max , minimum average mud density ρ min , let ρ 1 =ρ min And n =ρ max , we can get the set {ρ 1 ,ρ 2 ,…,ρ n}:

[0013]

[0014] Where, k = {2, 3, ..., n-1};

[0015] According to the accuracy requirements and the maximum average mud flow rate v obtained by S11 max , minimum average mud inlet velocity v min , let v 1 =v min And v m =v max, we can get the set {v 1 ,v 2 ,…,v m}:

[0016]

[0017] Where, h = {2, 3, ..., m-1};

[0018] S13, the average mud density in the pipeline is ρ 1 , the average mud flow rate in the pipeline is v 1 By adjusting the dosage of flocculation agent, the dosage of flocculation agent when the sludge achieves the best flocculation effect is manually determined as The dosage is collected by the vibration frequency monitor installed at the corner of the pipeline. The amplitude in the time period T is counted to obtain the number of times the amplitude in the range of 0.9 maximum amplitude to maximum amplitude occurs Traverse the set {ρ 1 ,ρ 2 ,…,ρ n} and the set {v 1 ,v 2 ,…,v m}, repeat the above steps to form a data table As shown in Table 1;

[0019] Table 1 Data sheet

[0020]

[0021] S2, collect data during the operation of the sediment intelligent dosing system:

[0022] Collect the pipeline mud density in the T time period and calculate the average mud density ρ t , collect the pipeline mud flow rate v within the T time period t And calculate the average mud flow velocity v t , count the number of occurrences of the amplitude in the range of 0.9 maximum amplitude to maximum amplitude measured by the vibration sensor within the time period T z t ;

[0023] S3, the amount of flocculation agent added during the operation of the sediment intelligent dosing system Y t To carry out automatic control, the specific steps are as follows:

[0024] S31, the average mud density ρ t , average mud inflow velocity v t Respectively with the data table To compare:

[0025] Judgment data table Whether there is a correlation with the average mud density ρ t , average mud inflow velocity v t The same set of average inlet mud density and average inlet mud velocity:

[0026] If it exists, compare Y t and like Then keep the flocculation agent dosage Y t unchanged, if Then the dosage of flocculating agent is Y t Adjust to

[0027] If it does not exist, execute S32;

[0028] S32, traverse the set {ρ 1 ,ρ 2 ,…,ρ n}, calculate the average mud density ρ t With the set {ρ 1 ,ρ 2 ,…,ρ n}, and the set {ρ t -ρ 1 ,ρ t -ρ 2 ,…,ρ t -ρ n}, the set {ρ t -ρ 1 ,ρ t -ρ 2 ,…,ρ t -ρ n The average mud density corresponding to the minimum positive value in} is taken as ρ t ′; traverse the set {v 1 ,v 2 ,…,v m}, calculate the average mud inflow velocity v t With the set {v 1 ,v 2 ,…,v m}, and the set {v t -v 1 ,v t -v 2 ,…,v t -v m}, select the set {v t -v 1 ,v t -v 2 ,…,v t -vm The average mud inflow velocity corresponding to the minimum positive value in} is taken as v t ′;

[0029] S33, according to ρ t ′ and v t 'Find the corresponding and like Then keep the flocculation agent dosage Y t unchanged; if Then the dosage of flocculating agent is Y t Adjust to Output adjustment instructions to adjust the dosage of flocculation agent to

[0030] S34, statistical flocculation agent dosage is The number of times z the amplitude in the range of 0.9 maximum amplitude to maximum amplitude measured by the vibration sensor during the time period T occurs t ',like Then keep the dosage of flocculating agent at like Then the dosage of flocculating agent Increase ΔY until the collected And record the amount of flocculation agent added at this time as Y, and change the amount of flocculation agent added Y, z t ″、Average mud density ρ t , average mud inflow velocity v t Add to Data Table middle;

[0031] S4, repeat S1-S3, automatically control the amount of flocculation agent added according to the average sludge density, average sludge flow rate and the number of times the amplitude in the range of 0.9 maximum amplitude to maximum amplitude occurs in each T time period, until the average sludge density and the average sludge flow rate remain unchanged, and no longer adjust the amount of flocculation agent added.

[0032] In the S34, Determine by the following method: Select the set {ρ t -ρ 1 ,ρ t -ρ 2 ,…,ρ t -ρ n The average mud density corresponding to the second smallest positive value in} is taken as ρ″ t ; Select the set {v t -v 1 ,v t -v 2 ,…,v t -v mThe average mud inflow velocity corresponding to the second smallest positive value in} is taken as v″ t , find ρ″ in the data table t and v″ t The corresponding flocculation agent dosage is

[0033] The N=20-30, and the T is 20s.

[0034] The density of the mud entering the pipeline is measured by a tuning fork density meter installed at the inlet of the bottom mud pipeline (1).

[0035] The pipeline inlet mud flow rate is measured by an annular flow meter installed at the inlet of the bottom mud pipeline (1).

[0036] The amplitude is measured by a vibration sensor installed at a corner of the bottom mud pipeline (1) and close to the outer wall of the pipeline.

[0037] Compared with the prior art, the present invention has the following beneficial effects:

[0038] 1. The existing method of adding chemicals for dredged sludge is to manually observe the flocculation effect and adjust the dosage of the flocculant based on experience; the intelligent dosing method for sludge of the present invention uses vibration frequency to represent the flocculation effect of the sludge, and does not require manual judgment to adjust the dosage of the flocculant, thereby realizing automatic intelligent dosing.

[0039] 2. The prior art relies on manual experience to adjust the dosage of reagents, which may result in deviations, overdose, etc., and is inefficient. The method of automatically adjusting the dosage of reagents based on the flocculation effect of the bottom mud of the present invention uses multiple sensors such as density, flow rate, and vibration to achieve digital monitoring of the entire process, and to achieve accurate and real-time adjustment of the dosage of flocculation reagents according to the inlet mud concentration and flow rate.

[0040] 3. The method of automatically adjusting the dosage of the reagent based on the sediment flocculation effect of the present invention will continuously record data and improve the data table according to the operating conditions during actual application. The adjusted data table can be applied to other sediment flocculation projects.

[0041] 4. The data table constructed by the method of the present invention can be obtained during the equipment installation and debugging stage. The debugging time can be increased or decreased according to the accuracy requirements. Generally, the acquisition of the data table can be completed in 1-3 working days, which can provide an automatic control basis for the entire subsequent construction period and greatly reduce the manpower investment. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a schematic diagram of the structure of the intelligent dosing system for sediment used in the method of the present invention;

[0043] Figure 2 A logical schematic diagram of a data table constructed in the present invention;

[0044] Figure 3 Flow chart of the method of the present invention.

[0045] In the figure:

[0046] 1. Bottom mud pipeline, 2. Pipeline mud density monitor, 3. Pipeline mud flow rate monitor, 4. Pipeline angle vibration frequency monitor, 5. CNC stepper motor, 6. Flocculation agent storage device, 7. Dosing pipeline. DETAILED DESCRIPTION

[0047] The technical solution of the present invention is described in detail below with reference to the accompanying drawings.

[0048] like Figure 1 As shown, the intelligent sediment dosing system adopted by the method for automatically adjusting the dosage of the agent based on the sediment flocculation effect of the present invention includes a sediment pipeline 1, a pipeline sediment density monitor 2, a pipeline sediment flow rate monitor 3, a pipeline rotation angle vibration frequency monitor 4, a CNC stepping motor 5, a flocculation agent storage device 6, and a dosing pipeline 7.

[0049] The pipeline mud density monitor 2 and the pipeline mud flow rate monitor 3 are installed on the pipeline of the sediment pipeline 1, the pipeline corner vibration frequency monitor 4 is installed at the corner of the sediment pipeline 1 close to the outer wall of the pipeline, and the flocculation agent storage device 6 adds drugs into the sediment pipeline 1 through the dosing pipeline 7, which is adjusted by the CNC stepping motor 5.

[0050] Among them, the pipeline mud density monitor 2 can use a tuning fork density meter, the pipeline mud flow rate monitor 3 can use an annular flow meter, and the pipeline angle vibration frequency monitor 4 can use a vibration sensor. The type of flocculant used remains unchanged, and the flocculant is a solution prepared according to a fixed concentration.

[0051] The method for automatically adjusting the dosage of the reagent based on the flocculation effect of the bottom mud comprises the following steps:

[0052] S1, build a data table during the commissioning of the sediment intelligent dosing system, see Figure 2 , specifically including the following steps:

[0053] S11, during the process from the beginning to the end of the mud inlet process in the bottom mud pipeline 1, the pipeline mud density monitoring meter 2 is sampled at a sampling frequency f ρ Collect the pipeline mud density ρ in the T time period, then the total collected in the T time period is (f ρ T) pipeline mud density data, this (f ρ T) pipeline mud density data are collected in the order of collection to form a set A 1 .

[0054] Continuously collect the pipeline mud density in N time periods T, where N = 20-30, T is generally 20s, and obtain the set A = {A 1 ,A 2 ,…,A N}; Traverse set A and calculate set A i Medium (f ρ The average pipeline mud density of T) pipeline mud density Get Collection Will gather The average pipeline mud density with the largest value is taken as the maximum average mud density ρ max The minimum average pipeline mud density is taken as the minimum average mud density ρ min .

[0055] During the process from the beginning to the end of the mud inlet in the bottom mud pipeline 1, the pipeline mud inlet flow rate monitoring meter 3 is set at a sampling frequency f v Collect the pipeline mud flow rate v in the T time period, then collect a total of (f v T) pipeline mud flow rate data, this (f v T) pipeline mud flow rate data are collected in the order of collection to form a set B 1 .

[0056] Continuously collect the pipeline mud flow rate in N time periods T, where N = 20-30, T is generally 20s, and obtain the set B = {B 1 ,B 2 ,…,B N}; Traverse set B and calculate set B j Medium (f v The average mud flow rate of each pipeline Get Collection Will gather The average pipeline mud flow rate with the largest value is taken as the maximum average mud flow rate v max The minimum average mud inlet velocity v is the minimum average mud inlet velocity v min ;

[0057] S12, according to the accuracy requirements and the maximum average mud density ρ obtained from S11 max , minimum average mud density ρ min , let ρ 1 =ρ min And n =ρ max , we can get the set {ρ 1 ,ρ 2 ,…,ρ n}:

[0058]

[0059] Among them, k = {2, 3,…, n-1}.

[0060] According to the accuracy requirements and the maximum average mud flow rate v obtained by S11 max , minimum average mud inlet velocity v min , let v 1 =v min And v m =v max , we can get the set {v 1 ,v 2 ,…,v m}:

[0061]

[0062] Where, h = {2, 3,…, m-1}.

[0063] S13, the average mud density in the pipeline is ρ 1 , and the average mud flow velocity in the pipeline is v 1 By adjusting the dosage of flocculation agent, the dosage of flocculation agent when the sludge achieves the best flocculation effect is manually determined as Pipeline corner vibration frequency monitor 4 collects the dosage of Y ρ1,v1 The amplitude in the time period T is counted to obtain the number of times the amplitude in the range of 0.9 maximum amplitude to maximum amplitude occurs Traverse the set {ρ 1 ,ρ 2 ,…,ρ n} and the set {v 1 ,v 2 ,…,v m}, repeat the above steps to form a data table As shown in Table 1;

[0064] Table 1 Data sheet

[0065]

[0066] S2, collect data during the operation of the sediment intelligent dosing system:

[0067] The pipeline mud density monitoring meter 2 collects the pipeline mud density in the T time period and calculates the average mud density ρ t The pipeline mud flow rate monitoring meter 3 collects the pipeline mud flow rate v in the T time period t And calculate the average mud flow velocity v tThe pipeline corner vibration frequency monitor 4 collects the amplitude within the T time period and counts the number of times the amplitude in the range of 0.9 maximum amplitude to maximum amplitude occurs z t .

[0068] S3, such as Figure 3 As shown in the figure, during the operation of the intelligent dosing system for sediment, the dosage of flocculation agent Y t To carry out automatic control, the specific steps are as follows:

[0069] S31, the average mud density ρ t , average mud inflow velocity v t Respectively with the data table To compare:

[0070] Judgment data table Whether there is a correlation with the average mud density ρ t , average mud inflow velocity v t The same set of average inlet mud density and average inlet mud velocity:

[0071] If it exists, compare Y t and like Then keep the flocculation agent dosage Y t unchanged, if Then the dosage of flocculating agent is Y t Adjust to

[0072] If it does not exist, execute S32;

[0073] S32, traverse the set {ρ 1 ,ρ 2 ,…,ρ n}, calculate the average mud density ρ t With the set {ρ 1 ,ρ 2 ,…,ρ n}, and the set {ρ t -ρ 1 ,ρ t -ρ 2 ,…,ρ t -ρ n}, the set {ρ t -ρ 1 ,ρ t -ρ 2 ,…,ρ t -ρ n The average mud density corresponding to the minimum positive value in} is taken as ρ t ′; traverse the set {v 1 ,v 2 ,…,vm}, calculate the average mud inflow velocity v t With the set {v 1 ,v 2 ,…,v m}, and the set {v t -v 1 ,v t -v 2 ,…,v t -v m}, select the set {v t -v 1 ,v t -v 2 ,…,v t -v m The average mud inflow velocity corresponding to the minimum positive value in} is taken as v t ′;

[0074] S33, according to ρ t ′ and v t 'Find the corresponding and like Then keep the flocculation agent dosage Y t unchanged; if Then the dosage of flocculating agent is Y t Adjust to Output adjustment instructions to the CNC stepper motor 5, the CNC stepper motor 5 adjusts the flocculation agent dosage of the flocculation agent storage device 6 to

[0075] S34, the pipeline corner vibration frequency monitor 4 collects the amount of flocculation agent added: The amplitude in the time period T, count the number of times the amplitude in the range of 0.9 maximum amplitude to maximum amplitude occurs z t ',like Then keep the dosage of flocculating agent at like The flocculation agent dosage of the flocculation agent storage device 6 is adjusted by the numerically controlled stepping motor 5. Increase ΔY until the pipeline corner vibration frequency monitor 4 collects the And record the amount of flocculation agent added at this time as Y, which will satisfy The dosage of flocculation agent at the time, z t ″、Average mud density ρ t , average mud inflow velocity v t Add to Data Table middle.

[0076] in, Determined by:

[0077] Select the set {ρ t -ρ 1 ,ρ t -ρ 2 ,…,ρ t -ρ n The average mud density corresponding to the second smallest positive value in} is taken as ρ″ t ; Select the set {v t -v 1 ,v t -v 2 ,…,v t -v m The average mud inflow velocity corresponding to the second smallest positive value in} is taken as v″ t , find ρ″ in the data table t and v″ t The corresponding flocculation agent dosage is

[0078] S4, repeat S1-S3, automatically control the amount of flocculation agent added according to the average sludge density, average sludge flow rate and the number of times the amplitude in the range of 0.9 maximum amplitude to maximum amplitude occurs in each T time period, until the average sludge density and the average sludge flow rate remain unchanged, and no longer adjust the amount of flocculation agent added.

Claims

1. A method for automatically adjusting the dosage of a reagent based on the flocculation effect of sediment, characterized in that: The following steps are involved: S1, building a data table during the commissioning of the sediment intelligent dosing system, including the following steps: S11, from the beginning to the end of the mud pipe feeding process, the sampling frequency f ρ Collect the pipeline mud density ρ in the T time period, then the total collected in the T time period is (f ρ T) pipeline mud density data, this (f ρ T) pipeline mud density data are combined into set A1 according to the collection order; Continuously collect the pipeline mud density in N time periods T, and obtain the set A = {A1, A2, ..., A N }; Traverse set A and calculate set A i Medium (f ρ The average pipeline mud density of T) pipeline mud density Get Collection Will gather The average pipeline mud density with the largest value is taken as the maximum average mud density ρ max The minimum average pipeline mud density is taken as the minimum average mud density ρ min ; During the process from the beginning to the end of the mud flow in the bottom mud pipeline, the sampling frequency f v Collect the pipeline mud flow rate v in the T time period, then collect a total of (f v T) pipeline mud flow rate data, this (f v T) pipeline mud flow rate data are combined into a set B1 according to the collection order; Continuously collect the pipeline mud flow rate in N time periods T, and obtain the set B = {B1, B2, ..., B N }; Traverse set B and calculate set B j Medium (f v The average mud flow rate of each pipeline Get Collection Will gather The average pipeline mud flow rate with the largest value is taken as the maximum average mud flow rate v max The minimum average mud inlet velocity v is the minimum average mud inlet velocity v min ; S12, according to the accuracy requirements and the maximum average mud density ρ obtained by S11 max , minimum average mud density ρ min , let ρ1=ρ min And n =ρ max , we can get the set {ρ1,ρ2,…,ρ n }: Where, k = {2, 3, ..., n-1}; According to the accuracy requirements and the maximum average mud flow rate v obtained by S11 max , minimum average mud inlet velocity v min , let v1 = v min And v m =v max , we can get the set {v1,v2,…,v m }: Where, h = {2, 3, ..., m-1}; S13, when the average inlet mud density is ρ1 and the average inlet mud flow rate is v1, by adjusting the amount of flocculation agent added, the amount of flocculation agent added when the sludge achieves the best flocculation effect is manually determined to be The dosage is collected by the vibration sensor installed at the corner of the pipeline. The amplitude in the time period T is counted to obtain the number of times the amplitude in the range of 0.9 maximum amplitude to maximum amplitude occurs Traverse the set {ρ1,ρ2,…,ρ n } and the set {v1,v2,…,v m }, repeat the above steps to form a data table S2, collect data during the operation of the sediment intelligent dosing system: Collect the pipeline mud density in the T time period and calculate the average mud density ρ t , collect the pipeline mud flow rate v within the T time period t And calculate the average mud flow velocity v t , count the number of occurrences of the amplitude in the range of 0.9 maximum amplitude to maximum amplitude measured by the vibration sensor within the time period T z t ; S3, the amount of flocculation agent added during the operation of the intelligent sludge dosing system t To carry out automatic control, the specific steps are as follows: S31, the average mud density ρ t , average mud inflow velocity v t Respectively with the data table To compare: Judgment data table Whether there is a correlation with the average mud density ρ t , average mud inflow velocity v t The same set of average inlet mud density and average inlet mud velocity: If it exists, compare Y t and like Then keep the flocculation agent dosage Y t unchanged, if Then the dosage of flocculating agent is Y t Adjust to If it does not exist, execute S32; S32, traverse the set {ρ1,ρ2,…,ρ n }, calculate the average mud density ρ t With the set {ρ1,ρ2,…,ρ n }, and the set {ρ t -ρ1,ρ t -ρ2,…,ρ t -ρ n }, the set {ρ t -ρ1,ρ t -ρ2,…,ρ t -ρ n The average mud density corresponding to the minimum positive value in} is taken as ρ t ′; traverse the set {v1,v2,…,v m }, calculate the average mud inflow velocity v t With the set {v1,v2,…,v m }, and the set {v t -v1,v t -v2,…,v t -v m }, select the set {v t -v1,v t -v2,…,v t -v m The average mud inflow velocity corresponding to the minimum positive value in} is taken as v t ′; S33, according to ρ t ′ and v t 'Find the corresponding and like Then keep the flocculation agent dosage Y t unchanged; if Then the dosage of flocculating agent is Y t Adjust to Output adjustment instructions to adjust the dosage of flocculation agent to S34, collect the dosage of flocculation agent The number of times z the amplitude in the range of 0.9 maximum amplitude to maximum amplitude measured by the vibration sensor during the time period T occurs t ',like Then keep the dosage of flocculating agent at like Then the dosage of flocculating agent Increase ΔY until the collected And record the amount of flocculation agent added at this time as Y, and change the amount of flocculation agent added Y, z t ″、Average mud density ρ t , average mud inflow velocity v t Add to Data Table middle; S4, repeat S1-S3, automatically control the amount of flocculation agent added according to the average sludge density, average sludge flow rate and the number of times the amplitude in the range of 0.9 maximum amplitude to maximum amplitude occurs in each T time period, until the average sludge density and the average sludge flow rate remain unchanged, and no longer adjust the amount of flocculation agent added.

2. The method according to claim 1, characterized in that: In S34, Determine by the following method: Select the set {ρ t -ρ1,ρ t -ρ2,…,ρ t -ρ n The average mud density corresponding to the second smallest positive value in} is taken as ρ″ t ; Select the set {v t -v1,v t -v2,…,v t -v m The average mud inflow velocity corresponding to the second smallest positive value in} is taken as v″ t , find ρ″ in the data table t and v″ t The corresponding flocculation agent dosage is 3. The method according to claim 1, characterized in that: The N=20-30, and the T is 20s.

4. The method according to claim 1, characterized in that: The density of the mud entering the pipeline is measured by a tuning fork density meter installed at the inlet of the bottom mud pipeline (1).

5. The method according to claim 1, characterized in that: The pipeline inlet mud flow rate is measured by an annular flow meter installed at the inlet of the bottom mud pipeline (1).

6. The method according to claim 1, characterized in that: The amplitude is measured by a vibration sensor installed at a corner of the bottom mud pipeline (1) and close to the outer wall of the pipeline.

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