Intelligent monitoring method and device for dam grouting

By real-time monitoring and verification of grouting parameters, combined with geophysical detection data, the problems of inaccurate parameters and cheating in grouting construction are solved, and intelligent monitoring and quality control of the grouting process are realized.

CN116297007BActive Publication Date: 2025-08-29CHINA INST OF WATER RESOURCES & HYDROPOWER RES
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Patent Information

Application Number
CN202211105680.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-09-09
Publication Date
2025-08-29
Estimated Expiration
2042-09-09

AI Technical Summary

Technical Problem

In the prior art, there is a lack of accurate monitoring and evaluation during grouting construction, resulting in unsatisfactory grouting results and cheating.

Method used

By monitoring parameters such as slurry density, pressure and flow in real time, using preset verification methods for parameter consistency verification, combined with geophysical detection data, intelligent monitoring and real-time evaluation of the grouting process are achieved.

Benefits of technology

Ensure the accuracy of grouting parameters, avoid cheating, and improve construction quality.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention discloses an intelligent monitoring method for dam grouting, which is applied to grouting equipment. The grouting equipment includes a slurry tank and a slurry pipe. The discharge port of the slurry tank is connected to the slurry inlet of the slurry pipe, and the slurry outlet of the slurry pipe leads to the grouting structure. The method includes: obtaining the slurry density ρ and slurry pressure р1 in the slurry tank, as well as the slurry pressure p2 and grouting flow rate Q corresponding to the slurry outlet; and using a first verification formula to verify the accuracy between the above parameters. In this way, unreasonable parameters in the grouting process can be effectively predicted and early warnings can be issued. When the early warning is issued, personnel can be promptly guided to correct the construction process, avoiding cheating in the grouting operation and improving construction quality.
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Description

Technical Field

[0001] The present invention relates to the field of concrete grouting monitoring, and in particular to a dam grouting intelligent monitoring method and device. Background Art

[0002] Grouting in water conservancy projects is a concealed process. During each grouting operation, precise design specifications are set for each relevant parameter, namely flow, density, pressure, and lift. However, even though each parameter met the specifications after grouting, core sampling results from the project indicated that the grouting effect was not ideal. This is often attributed to the failure to accurately align grouting with geophysical data, inaccurate assessment of grouting parameters, or fraudulent practices during the grouting operation, resulting in unsatisfactory grouting results.

[0003] Therefore, this field requires a new monitoring method and device to solve the above problems. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent monitoring method and device for dam grouting, which ensures the accuracy of various parameters and avoids cheating in grouting operations through real-time monitoring and real-time evaluation of various parameters during the grouting process.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A method for intelligent monitoring of dam grouting is applied to grouting equipment, wherein the grouting equipment includes a slurry tank and a slurry pipe, wherein the discharge port of the slurry tank is connected to the slurry inlet of the slurry pipe, and the slurry outlet of the slurry pipe leads to the grouting structure; the method comprises:

[0007] Obtaining the slurry density ρ and slurry pressure р1 in the slurry tank, as well as the slurry pressure p2 and grouting flow rate Q corresponding to the slurry outlet;

[0008] Predicting the slurry density based on the slurry pressure р1, slurry pressure p2, and grouting flow rate Q according to a preset first verification formula, and verifying the consistency of the predicted slurry density with the slurry density ρ;

[0009] Predicting a grouting pressure difference based on the slurry density ρ and the grouting flow rate Q according to the first verification formula, and verifying the consistency of the predicted grouting pressure difference with the difference between the slurry pressure р1 and the slurry pressure p2;

[0010] Predicting a grouting flow rate based on the slurry density ρ, slurry pressure р1, and slurry pressure p2 according to the first verification formula, and verifying the consistency between the predicted grouting flow rate and the grouting flow rate Q;

[0011] The first verification formula is as follows:

[0012]

[0013] Where, l is the length of the slurry delivery pipe, λ is the resistance coefficient along the slurry delivery process, and d is the inner diameter of the slurry delivery pipe.

[0014] Preferably, the method further comprises:

[0015] Obtaining the lift value, grouting pressure p3 and geophysical data corresponding to the grouting structure;

[0016] Predicting the grout pressure corresponding to the grouting structure according to a preset second verification formula based on the lift value and geophysical data;

[0017] Verifying the consistency between the predicted slurry pressure and the slurry pressure p3 corresponding to the grouting structure;

[0018] The lift value is predicted according to the second verification formula based on the geophysical data and the grout pressure p3 corresponding to the grouting structure.

[0019] The predicted lift value is verified to be consistent with the lift value corresponding to the poured structure.

[0020] Preferably, the method further comprises:

[0021] Based on the lift value and the grout pressure p3 and according to the second verification formula, it is determined whether the grouting parameters meet the design requirements.

[0022] Preferably, the geophysical data at least include: the porosity n0 corresponding to the cast structure, the bulk modulus K of the structure surrounding the cast structure, m , the bulk modulus K of the defect structure contained in the grouting structure, and the grouting depth h.

[0023] Preferably, the second verification formula is as follows:

[0024]

[0025] Among them, ε k is the volume deformation of the poured structure, and m represents the lift value.

[0026] Preferably, the method further comprises:

[0027] The total grouting volume is determined based on the grouting flow rate Q, and it is verified whether the total grouting volume meets the design requirements.

[0028] Preferably, a corresponding alarm message is issued when the consistency verification result is inconsistent.

[0029] A dam grouting intelligent monitoring device is applied to a grouting device, wherein the grouting device includes a slurry tank and a slurry delivery pipe, wherein the discharge port of the slurry tank is connected to the slurry inlet of the slurry delivery pipe, and the slurry outlet of the slurry delivery pipe leads to the grouting structure;

[0030] The device includes: a data acquisition module, a data storage module and an early warning module;

[0031] The data acquisition module includes a density meter, a first pressure gauge, a second pressure gauge, a flow meter and a lift sensor;

[0032] The densitometer is used to measure the slurry density ρ in the slurry tank, the first pressure gauge is used to measure the slurry pressure р1 in the liquid tank, the second pressure gauge is used to measure the slurry pressure p2 corresponding to the slurry outlet, the flow meter is used to measure the grouting flow Q, and the lift sensor is used to measure the lift value corresponding to the grouting structure;

[0033] The data storage device is used to store data collected in real time by the density meter, the first pressure gauge, the second pressure gauge, the flow meter and the lift sensor, and transmit the data to the early warning module;

[0034] The early warning module is configured to execute the above-mentioned intelligent monitoring method for dam grouting.

[0035] Preferably, wireless data transmission is adopted between the data storage module and the early warning module.

[0036] The advantages of the present invention are:

[0037] The intelligent monitoring method and device for dam grouting provided by the present invention ensure the accuracy of various parameters and avoid cheating in grouting operations through real-time monitoring and real-time evaluation of various parameters during the grouting process. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a schematic diagram of the main process of a dam grouting intelligent monitoring method of the present invention;

[0039] Figure 2 This is a schematic diagram of a mutual judgment process of geophysical data and lift value of the present invention;

[0040] Figure 3 It is a structural diagram of an intelligent monitoring device for dam grouting according to the present invention. DETAILED DESCRIPTION

[0041] The present invention is further described in detail below with reference to the accompanying drawings and embodiments.

[0042] See attached Figure 1 , Figure 1 The main process of a dam grouting intelligent monitoring method is shown as an example. Figure 1 As shown, the intelligent monitoring method for dam grouting provided by the present invention includes:

[0043] Step S1: Obtain the slurry density ρ and slurry pressure р1 in the slurry tank, as well as the slurry pressure p2 and grouting flow rate Q corresponding to the slurry outlet.

[0044] Specifically, the present invention is applied to grouting equipment, which includes a slurry tank and a slurry delivery pipe. The slurry tank outlet is connected to the slurry delivery pipe inlet, and the slurry delivery pipe outlet leads to the grouting structure. A density meter and a pressure gauge can be installed in the grouting tank to obtain the slurry density ρ and slurry pressure р1 in the slurry tank. A pressure gauge and a flowmeter are installed at the slurry delivery pipe outlet to measure the slurry pressure p2 and grouting flow rate Q at the outlet.

[0045] Step S2: Based on the slurry pressure р1, the slurry pressure p2, the grouting flow rate Q and the preset first verification formula, the slurry density is predicted, and the consistency of the predicted slurry density and the slurry density ρ is verified.

[0046] Specifically, the actual measured slurry pressure р1, slurry pressure p2, and grouting flow rate Q are substituted into the first verification formula to calculate the predicted slurry density. The consistency of the predicted slurry density and the actual measured slurry density ρ is verified.

[0047] The first verification formula is shown in formula (1):

[0048]

[0049] Where, l is the length of the slurry delivery pipe, λ is the resistance coefficient along the slurry delivery process, and d is the inner diameter of the slurry delivery pipe.

[0050] The resistance coefficient along the slurry transportation process is shown in formula (2):

[0051]

[0052] Where g is the acceleration due to gravity, and C is the Shecai coefficient corresponding to the slurry pipe.

[0053] The Xie Cai coefficient corresponding to the slurry pipe is shown in formula (3):

[0054]

[0055] Where n is the roughness coefficient of the slurry pipe, Re is the Reynolds number corresponding to the slurry pipe, R is the hydraulic radius corresponding to the slurry pipe, q is the flow rate inside the slurry pipe, v is the flow velocity of the slurry in the slurry pipe, y is the preset coefficient and its expression is

[0056] Step S3: Based on the slurry density ρ and the grouting flow rate Q, the grouting pressure difference is predicted according to the first verification formula, and the predicted grouting pressure difference is verified to be consistent with the difference between the slurry pressure р1 and the slurry pressure p2.

[0057] Specifically, the actually measured slurry density ρ and grouting flow rate Q are substituted into the first verification formula to calculate the pressure difference between the predicted slurry pressure р1 and the slurry pressure p2, and verify the consistency between the predicted result and the actual difference between the slurry pressure р1 and the slurry pressure p2.

[0058] Step S4: Based on the slurry density ρ, the slurry pressure р1, and the slurry pressure p2, the grouting flow rate is predicted according to the first verification formula, and the consistency of the predicted grouting flow rate and the grouting flow rate Q is verified.

[0059] Specifically, the actually measured slurry density ρ, slurry pressure р1, and slurry pressure p2 are substituted into the first verification formula to calculate the predicted grouting flow rate, and the consistency between the predicted grouting flow rate and the actually measured grouting flow rate Q is verified.

[0060] By substituting the actual measured parameters into the first verification formula, the parameters can be mutually verified. If the consistency verification result is inconsistent, it indicates that there is a problem with the relevant data, and a corresponding alarm message can be issued. For example, if the predicted slurry density is inconsistent with the actual measured slurry density ρ, it indicates that there is a problem with the slurry density, and a slurry density alarm message can be issued.

[0061] In addition, the present invention can also realize the mutual determination of geophysical data verification and lift value. Figure 2 , Figure 2 This is the mutual judgment process between geophysical data and lift values. It includes the following steps:

[0062] Step S21: Obtain the lift value, grouting pressure p3 and geophysical data corresponding to the grouting structure.

[0063] Specifically, the lifting value of the grouting structure can be measured by the lifting sensor, the grouting pressure p3, and the geophysical data of the grouting structure can be measured by the geophysical equipment. The grouting structure is provided with a geophysical monitoring port, and the grouting pressure corresponding to the geophysical monitoring port is measured by the pressure gauge as p 3, Geophysical data can also be measured using geophysical equipment through geophysical monitoring ports.

[0064] The geophysical data includes at least: the porosity n0 corresponding to the cast structure, the bulk modulus K of the structure surrounding the cast structure, m , the bulk modulus K of the defect structure contained in the grouting structure, and the grouting depth h.

[0065] Step S22: predicting the grout pressure corresponding to the grouting structure according to a preset second verification formula based on the lift value and the geophysical data.

[0066] The second verification formula is shown in formula (4):

[0067]

[0068] Among them, ε k is the volume deformation of the grouting structure, and m represents the lift value. Substituting the geophysical data and the actual measured lift value into formula (4) can calculate the predicted grout pressure corresponding to the grouting structure.

[0069] Step S23: verifying the consistency between the predicted slurry pressure and the slurry pressure p3 corresponding to the grouting structure.

[0070] Specifically, the predicted slurry pressure is compared with the actually measured slurry pressure p3 corresponding to the grouting structure to verify their consistency.

[0071] Step S24: predicting the lift value according to the second verification formula based on the geophysical data and the grout pressure p3 corresponding to the grouting structure.

[0072] Specifically, the predicted lift value can be calculated by substituting the geophysical data and the actually measured slurry pressure p2 into formula (4).

[0073] Step S25: Verify the consistency between the predicted lift value and the lift value corresponding to the poured structure.

[0074] Specifically, the predicted lift value is compared with the actual measured lift value to verify their consistency.

[0075] Step S26: Determine whether the geophysical data meets the design requirements based on the lift value and the slurry pressure p3 and the second verification formula. Similarly, the geophysical data can also be verified to meet the design requirements based on formula (4) and the actual measured lift value and slurry pressure p3.

[0076] In addition, after obtaining the grouting flow rate Q, the total grouting volume M can be calculated based on the grouting time t, where M = Q·t. This also verifies whether the actual grouting volume meets the design requirements. It should be noted that both geophysical data and the total grouting volume have corresponding specifications. Calculating the geophysical data and the total grouting volume based on the actual measured data can verify whether the calculated geophysical data and the total grouting volume meet the design specifications. Similarly, if the above consistency verification results are inconsistent, a corresponding alarm message will be issued.

[0077] See attached Figure 3 , Figure 3 The following is an example of a structural diagram of an intelligent monitoring device for dam grouting. Figure 3As shown, the intelligent monitoring device for dam grouting provided by the present invention is applied to grouting equipment, which includes a slurry tank and a slurry pipe. The discharge port of the slurry tank is connected to the slurry inlet of the slurry pipe, and the slurry outlet of the slurry pipe leads to the grouting structure.

[0078] The device includes a data acquisition module, a data storage module, and an early warning module. The data acquisition module includes a densitometer, a first pressure gauge, a second pressure gauge, a flow meter, and a lift sensor. The densitometer measures the slurry density ρ in the slurry tank, the first pressure gauge measures the slurry pressure р1 in the tank, the second pressure gauge measures the slurry pressure p2 corresponding to the slurry outlet, the flow meter measures the grouting flow rate Q, and the lift sensor measures the lift value corresponding to the grouting structure.

[0079] The data storage device is used to store real-time data collected by the density meter, first pressure gauge, second pressure gauge, flow meter, and lift sensor, and transmit it to the early warning module. The early warning module is configured to execute the aforementioned intelligent dam grouting monitoring method. Wireless data transmission is used between the data storage module and the early warning module.

[0080] In summary, the intelligent monitoring method and device for dam grouting provided by the present invention can effectively predict unreasonable parameters in the grouting process and issue early warnings through mutual verification and evaluation of various parameters. When an early warning is issued, personnel can be promptly guided to correct the construction process, thereby avoiding cheating in grouting operations and improving construction quality.

[0081] The above are preferred embodiments of the present invention and the technical principles used therein. For those skilled in the art, any obvious changes such as equivalent transformations, simple replacements, etc. based on the technical solution of the present invention, without departing from the spirit and scope of the present invention, are within the scope of protection of the present invention.

Claims

1. A method for intelligent monitoring of dam grouting, applied to grouting equipment, wherein the grouting equipment includes a slurry tank and a slurry pipe, wherein the discharge port of the slurry tank is connected to the slurry inlet of the slurry pipe, and the slurry outlet of the slurry pipe leads to the grouting structure; characterized in that: The method comprises: Obtaining the slurry density ρ and slurry pressure р1 in the slurry tank, as well as the slurry pressure p2 and grouting flow rate Q corresponding to the slurry outlet; Predicting the slurry density based on the slurry pressure р1, the slurry pressure p2, and the grouting flow rate Q according to a preset first verification formula, and verifying the consistency between the predicted slurry density and the slurry density ρ; Predicting a grouting pressure difference based on the slurry density ρ and the grouting flow rate Q according to the first verification formula, and verifying the consistency of the predicted grouting pressure difference with the difference between the slurry pressure р1 and the slurry pressure p2; Predicting a grouting flow rate based on the slurry density ρ, slurry pressure р1, and slurry pressure p2 according to the first verification formula, and verifying the consistency between the predicted grouting flow rate and the grouting flow rate Q; The first verification formula is as follows: Where, l is the length of the slurry delivery pipe, λ is the resistance coefficient along the slurry delivery process, and d is the inner diameter of the slurry delivery pipe.

2. The intelligent monitoring method for dam grouting according to claim 1, characterized in that: The method further comprises: Obtaining the lift value, grouting pressure p3 and geophysical data corresponding to the grouting structure; Predicting the grout pressure corresponding to the grouting structure according to a preset second verification formula based on the lift value and geophysical data; Verifying the consistency between the predicted slurry pressure and the slurry pressure p3 corresponding to the grouting structure; The lift value is predicted according to the second verification formula based on the geophysical data and the grout pressure p3 corresponding to the grouting structure. The predicted lift value is verified to be consistent with the lift value corresponding to the poured structure.

3. The intelligent monitoring method for dam grouting according to claim 2, characterized in that: The method further includes Based on the lift value and the slurry pressure p3 and according to the second verification formula, it is determined whether the geophysical exploration data meets the design requirements.

4. The intelligent monitoring method for dam grouting according to claim 3, characterized in that: The geophysical data at least include: the porosity n0 corresponding to the cast structure, the bulk modulus K of the structure surrounding the cast structure, m , the bulk modulus K of the defect structure contained in the grouting structure, and the grouting depth h.

5. The intelligent monitoring method for dam grouting according to claim 4, characterized in that: The second verification formula is as follows: Among them, ε k is the volume deformation of the grouted structure, and m represents the lift value.

6. The intelligent monitoring method for dam grouting according to claim 1, characterized in that: The method further comprises: The total grouting volume is determined based on the grouting flow rate Q, and it is verified whether the total grouting volume meets the design requirements.

7. The intelligent monitoring method for dam grouting according to any one of claims 1 to 6, characterized in that: When the consistency verification result is inconsistent, a corresponding alarm message is issued.

8. An intelligent monitoring device for dam grouting, applied to grouting equipment, wherein the grouting equipment includes a slurry tank and a slurry pipe, wherein the discharge port of the slurry tank is connected to the slurry inlet of the slurry pipe, and the slurry outlet of the slurry pipe leads to the grouting structure; characterized in that: The device includes: a data acquisition module, a data storage module and an early warning module; The data acquisition module includes a density meter, a first pressure gauge, a second pressure gauge, a flow meter and a lift sensor; The densitometer is used to measure the slurry density ρ in the slurry tank, the first pressure gauge is used to measure the slurry pressure р1 in the liquid tank, the second pressure gauge is used to measure the slurry pressure p2 corresponding to the slurry outlet, the flow meter is used to measure the grouting flow Q, and the lift sensor is used to measure the lift value corresponding to the grouting structure; The data storage device is used to store data collected in real time by the density meter, the first pressure gauge, the second pressure gauge, the flow meter and the lift sensor, and transmit the data to the early warning module; The early warning module is configured to execute the dam grouting intelligent monitoring method according to any one of claims 1 to 7.

9. The intelligent monitoring device for dam grouting according to claim 8, characterized in that: Wireless data transmission is adopted between the data storage module and the early warning module.

Citation Information

Patent Citations

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