Curing agent flow control method, equipment, medium and product

Abstract

The invention provides a curing agent flow control method and device, a medium and a product, and relates to the technical field of dredged soil curing. The curing agent flow control method comprises the steps that the regression relation between the flow ratio and the curing agent flow is obtained, wherein the flow ratio is the ratio of the slurry flow to the curing agent flow; construction parameters of pneumatic mixed flow curing construction are obtained, and a curing agent flow control value is calculated according to the construction parameters and the regression relation; adjusting the curing agent flow according to the curing agent flow control value. According to the embodiment of the invention, automatic regulation and control of the total water cement ratio can be realized, hysteresis and errors of manual regulation and control are effectively eliminated, variability of the solidified soil is reduced, it is ensured that the performance of the solidified soil meets design requirements, and the construction quality of pneumatic mixed flow solidification construction is greatly improved.

Description

Technical Field

[0001] The present application relates to the technical field of dredged soil solidification, and in particular to a solidifying agent flow control method, equipment, medium and product. Background Art

[0002] In order to ensure the normal operation of ports, waterways and other projects, regular dredging and maintenance are required, which produces a huge amount of dredged soil, and its disposal has become an important problem. With the saturation of marine mud areas and the improvement of environmental protection requirements in recent years, the traditional simple disposal method of external disposal is becoming increasingly difficult to adopt. Pneumatic mixed flow solidification technology is a new type of dredged soil ex situ treatment technology that takes into account pipeline transportation and solidification. Due to its unique technical advantages such as energy saving, environmental protection, flexibility and high efficiency, it is gradually attracting attention in large-scale dredged soil disposal and resource utilization.

[0003] Pneumatic mixed flow solidification technology uses compressed air to pressurize mud in the pipeline, and adds cement and other solidifying materials during the transportation of mud along the pipeline. The turbulence formed during high-speed movement makes the two fully mixed and further transported to the designated site. In a short period of time, solidified soil with a certain strength is quickly formed for subsequent use.

[0004] The strength of the solidified soil formed by dredged soil and solidifying agent is related to the total water-cement ratio in the mixed system (the total water-cement ratio is defined as the ratio of the total mass of water in the mud and the solidifying agent to the dry mass of the solidifying material). The moisture content of dredged soil is difficult to change. Therefore, the total water-cement ratio is adjusted by adjusting the flow rate of the solidifying agent in the pneumatic mixed flow solidification construction. However, due to the natural heterogeneity of the dredged soil material, the moisture content and density change dynamically, and the pneumatic mixed flow solidification system is a complex multiphase flow system (air, mud, solidifying agent). The relationship between the mud and solidifying agent flow rates is complex and nonlinear. Therefore, the traditional method of manually controlling the solidifying agent flow rate has a large hysteresis and error, which is difficult to control in real time and accurately, and it is very easy to cause the mixed solidified soil to have high variability and the strength does not meet the design requirements. Summary of the invention

[0005] The embodiments of the present application provide a curing agent flow control method, device, medium and product, which can solve the problem that the existing curing agent flow control has hysteresis and error, is difficult to control in real time and accurately, and easily leads to high variability of the mixed solidified soil and the strength does not meet the design requirements. In order to achieve this purpose, the embodiments of the present application provide the following solutions.

[0006] According to one aspect of an embodiment of the present application, a curing agent flow control method is provided for pneumatic mixed flow curing construction of dredged soil, the method comprising:

[0007] Obtaining a regression relationship between a flow ratio and a curing agent flow, wherein the flow ratio is a ratio of a mud flow to a curing agent flow;

[0008] Acquire construction parameters of pneumatic mixed flow curing construction, and calculate curing agent flow control value according to the construction parameters and the regression relationship, wherein the construction parameters include curing agent density, curing agent flow, mud density, water content, mud flow, water-cement ratio of curing agent, curing agent density and mud flow rate;

[0009] The curing agent flow rate is adjusted according to the curing agent flow rate control value.

[0010] In a possible implementation, the regression relationship between the flow ratio and the curing agent flow rate is obtained, including:

[0011] preparing dredged soils with different water contents, and preparing a curing agent into a curing agent slurry according to a predetermined water-cement ratio;

[0012] For each moisture content of dredged soil, obtain the corresponding curing agent flow rate and mud flow rate;

[0013] The regression relationship is determined according to the curing agent flow rate and the mud flow rate.

[0014] In a possible implementation, for each dredged soil with a water content, obtaining the corresponding curing agent flow rate and mud flow rate includes:

[0015] For each dredged soil with different moisture content, a pneumatic mixed flow solidification calibration test is carried out based on a predetermined mud flow rate;

[0016] The curing agent flow rate corresponding to the mud flow rate is determined according to the test results.

[0017] In a possible implementation, determining the regression relationship according to the curing agent flow rate and the mud flow rate includes:

[0018] Obtaining a regression equation corresponding to each moisture content of dredged soil according to the curing agent flow rate and the mud flow rate, wherein the regression equation is used to express the regression relationship between the flow rate ratio and the curing agent flow rate;

[0019] The regression equation is used to establish a regression equation group of the flow ratio and the curing agent flow rate under different moisture content conditions.

[0020] In a possible implementation, obtaining construction parameters of pneumatic mixed flow curing construction includes:

[0021] Prepare curing agent slurry according to the predetermined water-cement ratio, and obtain curing agent density corresponding to the curing agent slurry;

[0022] The solidifying agent slurry is used to carry out pneumatic mixed flow solidification construction of dredged soil, and the construction parameters are obtained during the construction process.

[0023] In a possible implementation, the calculating the curing agent flow control value according to the construction parameter and the regression relationship includes:

[0024] Calculating the measured value and the controlled value of the flow ratio using the construction parameters;

[0025] A regression relationship corresponding to the current mud density is obtained, and the curing agent flow control value is calculated based on the regression relationship, the measured value and the control value.

[0026] In a possible implementation, the mud density and water content are obtained by using a sensor, and the curing agent flow rate is adjusted according to the curing agent flow rate control value, including:

[0027] Determine curing agent flow change information according to the distance between the sensor and the curing agent inlet, wherein the curing agent flow change information includes an adjustment time for the curing agent flow to reach the curing agent flow control value;

[0028] The curing agent flow rate is adjusted based on the curing agent flow rate change information.

[0029] According to one aspect of an embodiment of the present application, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the method described above.

[0030] According to one aspect of an embodiment of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method described above are implemented.

[0031] According to one aspect of an embodiment of the present application, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps of the method described above are implemented.

[0032] The beneficial effects of the technical solution provided by the embodiment of the present application are:

[0033] The curing agent flow control method provided in the present application includes: obtaining the regression relationship between the flow ratio and the curing agent flow; obtaining the construction parameters of the pneumatic mixed flow curing construction, and calculating the curing agent flow control value according to the construction parameters and the regression relationship; adjusting the curing agent flow according to the curing agent flow control value. The embodiment of the present application can obtain the curing agent flow control value in real time and use the curing agent flow control value to accurately control the curing agent flow, thereby realizing automatic control of the total water-cement ratio, effectively eliminating the hysteresis and error of manual control, reducing the variability of the cured soil and ensuring that the performance of the cured soil meets the design requirements, and greatly improving the construction quality of the pneumatic mixed flow curing construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following is a brief introduction to the drawings required for use in describing the embodiments of the present application.

[0035] Figure 1 A flow chart of a curing agent flow control method provided in an embodiment of the present application;

[0036] Figure 2 A schematic diagram of the installation positions of the sensor and the electromagnetic flowmeter provided in the embodiment of the present application;

[0037] Figure 3 In the curing agent flow control method provided in the embodiment of the present application, R w (m) The graph of the function with respect to m;

[0038] Figure 4 A schematic diagram of solving the curing agent flow control value provided in an embodiment of the present application;

[0039] Figure 5 This is a structural diagram of the electronic device of this application. DETAILED DESCRIPTION

[0040] The embodiments of the present application are described below in conjunction with the drawings in the present application. It should be understood that the implementation methods described below in conjunction with the drawings are exemplary descriptions for explaining the technical solutions of the embodiments of the present application and do not constitute a limitation on the technical solutions of the embodiments of the present application.

[0041] It will be understood by those skilled in the art that, unless specifically stated, the singular forms "one", "said", and "the" used herein may also include plural forms. It should be further understood that the terms "including" and "comprising" used in the embodiments of the present application refer to that the corresponding features can be implemented as the presented features, information, data, steps, operations, elements and / or components, but do not exclude the implementation of other features, information, data, steps, operations, elements, components and / or combinations thereof supported by the present technical field. It should be understood that when we say that an element is "connected" or "coupled" to another element, the one element may be directly connected or coupled to the other element, or it may refer to that the one element and the other element establish a connection relationship through an intermediate element. In addition, the "connection" or "coupling" used herein may include wireless connection or wireless coupling. The term "and / or" used herein indicates at least one of the items defined by the term, for example, "A and / or B" indicates that it is implemented as "A", or is implemented as "A", or is implemented as "A and B".

[0042] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0043] The following describes several exemplary embodiments to illustrate the technical solutions of the embodiments of the present application and the technical effects produced by the technical solutions of the present application. It should be noted that the following embodiments can refer to, draw on or combine with each other, and the same terms, similar features and similar implementation steps in different embodiments will not be described repeatedly.

[0044] The curing agent flow control method, equipment, medium and product provided in the present application are intended to solve at least one technical problem existing in the prior art.

[0045] A curing agent flow control method is provided in an embodiment of the present application. The device for executing the curing agent flow control method may be a computer, a server, a cloud platform, or other terminals that can calculate the curing agent flow control value and adjust the curing agent flow based on the curing agent flow control value during pneumatic mixed flow curing construction.

[0046] Optionally, the curing agent flow control method of the present application is used for pneumatic mixed flow curing of dredged soil, and the total water-cement ratio is controlled in real time and precisely by adjusting the curing agent flow during the pneumatic mixed flow curing. The dredged soil is transported in the form of slurry, and the slurry flow mentioned in the present application is the flow of the slurry formed by the dredged soil.

[0047] Alternatively, if Figure 1-Figure 4 As shown, the curing agent flow control method includes:

[0048] S101: Obtain a regression relationship between the flow ratio and the curing agent flow rate.

[0049] Optionally, the flow ratio is a ratio of a mud flow to a curing agent flow. The step of obtaining a regression relationship between the flow ratio and the curing agent flow includes: preparing dredged soil with different water contents, and preparing a curing agent slurry with the curing agent according to a predetermined water-cement ratio; obtaining a corresponding curing agent flow and a mud flow for dredged soil with each water content; and determining a regression relationship according to the curing agent flow and the mud flow.

[0050] Optionally, the source of the dredged soil is the same as the source of the dredged soil that needs pneumatic mixed flow solidification construction. Before preparing dredged soil with different water contents, obtain the dredged soil to be prepared, and detect the liquid limit w of the dredged soil. L Specifically, the liquid limit of the dredged soil can be detected by geotechnical testing. The geotechnical testing can be carried out in accordance with the steps specified in the current national standard "Geotechnical Test Method Standard GB / T 50123-2019".

[0051] Optionally, to improve the accuracy of the regression relationship, the equipment used during preparation can be the same as the equipment used in actual pneumatic mixed flow solidification construction. The dredged soil can be prepared to a preset moisture content using the equipment, and the curing agent can be prepared into a curing agent slurry according to a predetermined water-cement ratio corresponding to the pneumatic mixed flow solidification construction.

[0052] Optionally, the moisture content can be determined based on the liquid limit of the dredged soil, and the quantity of the prepared dredged soil can be 5 parts, 6 parts, or other quantities, and the specific quantity can be determined based on actual needs.

[0053] In one embodiment, the dredged soil is prepared to have a moisture content of at least 5 parts. Between, while covering the upper and lower limits of the range, such as The moisture content was prepared into 5 parts.

[0054] Optionally, the water-cement ratio μ of the curing agent c The water-cement ratio of the curing agent paste used in the actual pneumatic mixed flow curing construction should be the same as that used in the actual pneumatic mixed flow curing construction, and should not be greater than 1.5.

[0055] Optionally, for dredged soil with each moisture content, a corresponding curing agent flow and mud flow are obtained, including: for dredged soil with each moisture content, performing a pneumatic mixed flow curing calibration test based on a predetermined mud flow; and determining a curing agent flow corresponding to the mud flow according to the test results.

[0056] Optionally, the predetermined mud flow rate may be the mud flow rate used in actual pneumatic mixed flow solidification construction, and a regression relationship is obtained based on the mud flow rate to facilitate subsequent pneumatic mixed flow solidification construction.

[0057] Optionally, the recorded mud flow Q s Corresponding curing agent flow Q c It is the mud flow and curing agent flow after the strength of the solidified soil meets the design strength requirements. In the pneumatic mixed flow solidification calibration test, the air pressure of the pressurized air is kept constant (that is, the mud flow is kept fixed), the frequency of the curing agent pump is adjusted to change the curing agent flow, and the strength of the solidified soil under different curing agent flows is tested. Based on the strength, the mud flow Q that meets the design strength requirements of the solidified soil is recorded. s With curing agent flow Q c .

[0058] Optionally, the frequency can be adjusted based on preset intervals, and the curing agent flow rate at different frequencies and the strength of the cured soil at the curing agent flow rate can be recorded.

[0059] In one embodiment, the curing agent pump frequency is at least 11, and the curing agent frequency covers the upper and lower limits of the curing agent pump operating frequency range. For example, if the curing agent pump operating frequency is 0-50 Hz, the curing agent pump frequency can be set according to 0 Hz, 5 Hz, 10 Hz, 15 Hz, 20 Hz, 25 Hz, 30 Hz, 35 Hz, 40 Hz, 45 Hz, and 50 Hz. At least 9 curing agent flow rates can be obtained based on the curing agent pump frequency.

[0060] Optionally, a regression relationship is determined based on the curing agent flow rate and the mud flow rate, including: obtaining a regression equation corresponding to dredged soil of each moisture content based on the curing agent flow rate and the mud flow rate, the regression equation being used to represent the regression relationship between the flow ratio and the curing agent flow rate; and using the regression equation to establish a regression equation group of the flow ratio and the curing agent flow rate under different moisture contents.

[0061] Optionally, when dredged soil with different water contents is solidified, the slurry flow corresponding to the curing agent flow is obtained, and the curing agent flow Q is used to calculate the curing agent flow rate. c and mud flow Q s Calculate the corresponding flow ratio. The flow ratio calculation formula is as follows:

[0062] Among them, R f is the flow ratio.

[0063] Optionally, the flow ratio R at each water cut level is established based on the obtained flow ratio f With curing agent flow Q c Specifically, the regression equation adopts a polynomial model, which can be a quartic polynomial, and its form is as follows:

[0064]

[0065] In the formula, a i、b i 、c i ,d i 、e i is the regression coefficient, i represents the level of moisture content, and the regression coefficient can be calculated by regression analysis. The regression coefficient and determination coefficient R corresponding to each level of moisture content are obtained through the regression equation. i 2 Among them, if the coefficient of determination R i 2 If the coefficient of determination R is greater than or equal to the preset threshold (such as 0.90), the regression equation corresponding to the coefficient of determination can be adopted. i 2 If the value is less than 0.9, the regression equation can be modified by repeating the experiment, eliminating discrete points, etc. to improve the goodness of fit.

[0066] After determining the regression equation corresponding to each level of moisture content, summarize the regression equation to obtain R under different moisture content conditions. f With Q c The regression equation group is as follows:

[0067]

[0068] S102: Acquire construction parameters of pneumatic mixed flow curing construction, and calculate a curing agent flow control value according to the construction parameters and a regression relationship.

[0069] Optionally, the construction parameters include the curing agent density ρ c , curing agent flow Q c , mud density ρ s , moisture content w s , Mud flow Q s and the mud velocity v s (t), water-cement ratio of curing agent μ c , curing agent density ρ c The parameters of the mud and curing agent can be detected in real time before and during the formal construction of the pneumatic mixed flow curing construction to obtain the construction parameters. The detection frequency of the parameters can be set according to the construction environment and the type of sensor used to detect the parameters.

[0070] Optionally, construction parameters of pneumatic mixed flow solidification construction are obtained, including: preparing a solidifying agent slurry according to a predetermined water-cement ratio, and obtaining a solidifying agent density corresponding to the solidifying agent slurry; performing pneumatic mixed flow solidification construction of dredged soil using the solidifying agent slurry, and obtaining construction parameters during the construction process.

[0071] Optionally, the operation of preparing the curing agent paste can be performed before the construction begins, according to a fixed water-cement ratio μ cThe curing agent is prepared. The density of the prepared curing agent slurry is tested to obtain the density of the curing agent slurry, that is, the curing agent density ρ c .

[0072] In one embodiment, the density test may be performed according to the density test provisions in the current industry standard "Standard for Test Methods for Basic Properties of Building Mortar JGJ / T70-2009".

[0073] Optionally, during the construction process, mud is transported through a pipeline, and a curing agent slurry formed by a curing agent is added into the pipeline through a curing agent nozzle on the pipeline to form a solidified soil of the curing agent and mud. s , moisture content w s , Mud flow Q s And the curing agent flow Q c (i.e. the flow rate of the curing agent slurry formed by the curing agent).

[0074] In one embodiment, Figure 2 As shown, sensors and electromagnetic flowmeters can be set on the pipeline. Among them, the sensor can be used to detect mud density and water content, and the electromagnetic flowmeter is used to detect mud flow and curing agent flow. Specifically, there are two sensors, one is set at the upstream of the pipeline and the other is set at the downstream of the pipeline. The two sensors can be marked as M1 and M2. The distances between M1 and M2 and the curing agent nozzle are L1 and L2 respectively. The distance L1-L2 between the two sensors is not more than 2 times the pipe diameter. The sampling frequencies of M1 and M2 can be consistent and not less than 100Hz; the mud flow and curing agent flow are monitored by two electromagnetic flowmeters Q1 and Q2 respectively, and their sampling frequencies are the same as those of M1 and M2. The water content and mud density obtained by real-time monitoring of M1 and M2 are ρ respectively. s1 (t), w s1 (t) and ρ s2 (t), w s2 (t), the mud flow rate and curing agent flow rate monitored by Q1 and Q2 are Q s (t), Q c (t) is the time.

[0075] Optionally, the mud flow rate v s (t) can be the moisture content w detected by the upstream and downstream sensors s1 (t), w s2 The cross-correlation function of (t) is calculated. Specifically, in w s1 (t), w s2 (t) in their respective time domain discretized signals, define a (t i -t w )~t i The time window length is tw , the number of sampling points N in the time window is not less than 100; based on the sampling points, w in two time windows is calculated s1 (t), w s2 The cross-correlation function of (t) is expressed as follows:

[0076] Among them, n is the serial number of the sampling point, m is the independent variable of the calculation formula, and R w (m) represents the cross-correlation function, which is used to calculate the mud flow rate.

[0077] Optionally, after acquiring the cross-correlation function, a function graph of the cross-correlation function is obtained, a peak value of the cross-correlation function is determined based on the function graph, and the peak value is used to calculate the time for mud to move from the upstream sensor location to the downstream sensor location.

[0078] In one embodiment, Figure 3 As shown, the cross-correlation function R w (m) The function graph of m, based on which we can get R w (m) The m value corresponding to the peak value is determined as m p , then the transit time of mud moving from M1 to M2 is The distance between the two sensors M1 and M2 and the transit time are used to calculate the mud flow at t i Mud flow rate at time

[0079] The construction parameters at each moment are obtained through the above calculation method. Among them, t i The construction parameter corresponding to the moment is [ρ s1 (t i ),ω s1 (t i ), ρ s2 (t i ),ω s2 (t i ), Q s (t i ), ρ c , μ c , Q c (t,),v s (t i )].

[0080] Optionally, the curing agent flow control value is calculated according to the construction parameters and the regression relationship, including: using the construction parameters to calculate the measured value and control value of the flow ratio; obtaining the regression relationship corresponding to the current mud density, and calculating the curing agent flow control value based on the regression relationship, the measured value and the control value.

[0081] Alternatively, the formula Calculate t i The measured value of the flow ratio at the moment, where Q s (t i ) represents the mud flow rate at that moment, Q c (t i ) indicates t i The curing agent flow rate at the time, R f (t i ) indicates t i The measured value of the flow rate ratio at each moment.

[0082] The formula can be Calculate the control value of the flow ratio, where [R f (t i )] indicates t i Control value of flow rate ratio at the moment, μ td represents the design value of the total water-cement ratio, which can be determined based on the mapping relationship between the strength of the solidified soil and the total water-cement ratio. It can be obtained from the corresponding file of the pneumatic mixed flow solidification construction before construction. c Indicates the water-cement ratio of the curing agent paste configured with the curing agent.

[0083] Alternatively, if Figure 4 As shown in FIG. 1 , when obtaining the regression relationship corresponding to the current mud density, the curve of the obtained regression equation group can be first plotted in the same rectangular coordinate system according to the corresponding water content. s2 (t i ), detect the interval corresponding to the water content of the mud in the rectangular coordinate system, for example, ω s0 <ω s2 (t i )<ω s1 . Then we can use ω s0 ,ω s1 The interpolation coefficient α is calculated from the two corresponding regression equations, and the curing agent flow control value is calculated based on the interpolation coefficient.

[0084] Optionally, the interpolation coefficient α is calculated as follows:

[0085] Among them, R f1 [Q c (t i )] represents the s1 The corresponding regression equation obtains the flow ratio, R f0 [Q c (t i )] represents the s0 The flow ratio obtained by the corresponding regression equation.

[0086] Optionally, after obtaining the interpolation coefficient, the curing agent flow control value can be calculated using the interpolation coefficient and the measured value and control value of the flow ratio. c ](t i ) is obtained by solving the following system of equations:

[0087]

[0088] The above system of equations contains three equations and three unknowns, namely R f1 {[Q c ](t i )}、R f0 {[Q c ](t i )}、[Q c ](t i ). Solving this system of equations, we obtain t i The curing agent flow control value at the moment [Q c ](t i ).

[0089] S103: adjusting the curing agent flow rate according to the curing agent flow rate control value.

[0090] Optionally, adjusting the curing agent flow rate according to the curing agent flow rate control value includes: determining curing agent flow rate change information according to the distance between the sensor and the curing agent inlet, the curing agent flow rate change information including the adjustment time for the curing agent flow rate to reach the curing agent flow rate control value; and adjusting the injection amount of the curing agent based on the curing agent flow rate change information.

[0091] Optionally, the current time is t i , get the curing agent flow control value at the current moment [Q c ](t i ), calculate the time for the mud to move from the downstream sensor to the curing agent inlet, determine the time as the adjustment time for the curing agent flow rate at the curing agent inlet to reach the curing agent flow rate control value, and adjust the curing agent flow rate according to the adjustment time so that when the mud reaches the curing agent inlet, the curing agent flow rate is adjusted to [Q c ](t i ).

[0092] Optionally, the calculation formula for adjusting the time is: Δt represents the adjustment time.

[0093] In one embodiment, obtaining t i After the curing agent flow control value at time (t i -t w )~t i The curing agent flow control value [Q c ](ti ) performs real-time calculations and sends instructions to the curing agent pump to adjust its operating frequency so that the curing agent injection flow rate is within t i +Δt reaches [Q c ](t i ), when the curing agent flow rate is adjusted to [Q c ](t i ), the total water-cement ratio of the solidified soil at this time reaches its design value μ td .

[0094] The curing agent flow control method of the present application is further described below in conjunction with specific embodiments.

[0095] In one embodiment, the steps of the curing agent flow control method include:

[0096] S1. Obtain the dredged soil to be subjected to pneumatic mixed flow solidification construction, and determine the liquid limit w of the dredged soil through indoor tests. L .

[0097] S2. Prepare the dredged soil into several portions (not less than 5 portions) according to different moisture content levels, with the moisture content between At the same time, cover the upper and lower limits of the range, such as Prepared into 5 parts; curing agent according to a fixed water-cement ratio μ c Prepare the curing agent slurry in advance.

[0098] S3. For each dredged soil with a certain moisture content, a pneumatic mixed flow solidification calibration test is carried out. The front-end pressure of the compressed air is kept constant, and the frequency of the solidifying agent pump is adjusted to change the solidifying agent flow rate. The mud flow rate Q at each mud flow rate is recorded. s With curing agent flow Q c The curing agent pump frequency should be set according to no less than 11 levels, and should cover the upper and lower limits of the curing agent pump working frequency range. For example, if the curing agent pump working frequency is 0-50Hz, the curing agent pump frequency can be set according to 0Hz, 5Hz, 10Hz, 15Hz, 20Hz, 25Hz, 30Hz, 35Hz, 40Hz, 45Hz, and 50Hz, and the corresponding curing agent flow rate also forms no less than 9 levels.

[0099] S4. Calculate the flow ratio of dredged soil at each moisture content level under different curing agent flow conditions. The calculation formula is as follows:

[0100] The data of the flow ratio is stored.

[0101] S5, using the fourth-order polynomial to fit R f With Q c If the fitting coefficient of determination Ri 2 If the coefficient of determination R is greater than or equal to 0.90, the regression equation can be adopted. i 2 If the fitting goodness is less than 0.9, the fitting goodness should be improved by repeating the test and eliminating discrete points. f With Q c The regression equations of .

[0102]

[0103] S6. Before formal construction, the curing agent is adjusted according to the predetermined water-cement ratio μ c After the mixing is completed, the density ρ is obtained by sampling and testing on site. c During the construction process, the mud density ρ of the mud transported from the front end is monitored in real time s , moisture content w s , Mud flow Q c And the curing agent flow Q c .

[0104] Furthermore, the mud density and water content are monitored in real time through two upstream and downstream density-water content sensors M1 and M2, whose distances from the curing agent nozzles are L1 and L2 respectively. The distance L1-L2 between the two sensors is less than 2 times the pipe diameter. The sampling frequencies of M1 and M2 are consistent and not less than 100 Hz. The mud flow and curing agent flow are monitored by two electromagnetic flow meters Q1 and Q2 respectively, and their sampling frequencies are the same as those of M1 and M2.

[0105] Furthermore, the water content and mud density obtained by real-time monitoring of M1 and M2 are ρ s1 (t), w s1 (t) and ρ s2 (t), w s2 (t), the mud flow rate and curing agent flow rate monitored by Q1 and Q2 are Q s (t), Q c (t), t is time.

[0106] S7, real-time calculation of mud flow rate v s (t), v s (t) Moisture content w based on the upstream and downstream sensors s1 (t), w s2 The cross-correlation function of the time domain discretized signal of (t) is calculated.

[0107] Specifically, in t i moment, in w s1 (t), w s2(t) in their respective time domain discretized signals, and generate a (t i -t w )~t i The time window length is t w ,The specific size can be set according to the distance of the sensor, the construction environment and other conditions. The number of sampling points N in the time window is not less than 100;

[0108] Furthermore, we calculate w in two time windows. s1 (t), w s2 The cross-correlation function of (t) is calculated as follows:

[0109]

[0110] Furthermore, we get R w (m) The function graph of m gives R w (m) The m value at the peak is m p , then the transit time of mud moving from M1 to M2 is

[0111] Furthermore, the distance between M1 and M2 and the transit time are used to calculate the mud flow at t i Average flow rate at time

[0112] S8. Through construction parameter monitoring and detection, the construction parameter sequence at each moment is obtained, that is, t i The construction parameter sequence corresponding to the moment can be

[0113] Lρ s1 (t i ),ω s1 (t i ), ρ s2 (t i ),ω s2 (l i ), Q s (t i ), ρ c , μ c , Q c (t i ), v s (t i )].

[0114] S9. Calculate the measured value R of the flow ratio at each moment f (t i ) and control value [R f ](t i ), the calculation formula is as follows:

[0115]

[0116] Specifically, the total water-cement ratio design value μ in the formula is td It is determined based on the relationship between the strength of the solidified soil and the total water-cement ratio and can be obtained from the design documents in advance before construction.

[0117] S10, the R obtained in S5 f With Q c The regression equations of the equations are plotted in the same rectangular coordinate system according to different moisture content levels; s2 (t i ) is located in the interval, for example ω s0 <ω s 2(t i )<ω s1 ,ω s0 ,ω s1 ...and the moisture content interval is derived from step S5;

[0118] S11, based on ω s0 ,ω s1 The corresponding two regression curve equations are used to calculate the interpolation coefficient α, as shown below:

[0119]

[0120] Among them, R f1 [Q c (t i )]、R f0 [Q c (t i )] is calculated according to the corresponding regression equation in step S5;

[0121] S12. Solve the following system of equations to obtain:

[0122]

[0123] The above system of equations contains three equations and three unknowns, namely R f1 {[Q c ](t i )}、R f0 {[Q c ](t i )}、[Q c ](t i ), the interpolation coefficient α is obtained from step S11, and the coefficients a1, b1, ... d0, e0, etc. are obtained from step S5, [R f ](t i ) is obtained from step S9.

[0124] Solve the above equations to obtain the curing agent flow control value [Q c](t i ).

[0125] S13, t i From the moment, the central control system follows steps S7 to S12 to control (t i -t w )~t i The curing agent flow control value [Q c ](t i ) performs real-time calculations and sends instructions to the curing agent pump to adjust its operating frequency so that the curing agent injection flow rate is within t i +Δt reaches [Q c ](t i ).

[0126] Furthermore, Δt is (t i -t w )~t i The transit time of the mud from the M2 position to the curing agent inlet in this time window is calculated as follows:

[0127]

[0128] When the curing agent flow rate is adjusted to [Q c ](t i ), at which point the total water-cement ratio of the solidified soil in the pipeline reaches its design value μ td .

[0129] In an optional embodiment, an electronic device is provided, such as Figure 5 As shown, Figure 5 The electronic device 4000 shown includes: a processor 4001 and a memory 4003. The processor 4001 and the memory 4003 are connected, such as through a bus 4002. Optionally, the electronic device 4000 may also include a transceiver 4004, which may be used for data interaction between the electronic device and other electronic devices, such as data transmission and / or data reception. It should be noted that in actual applications, the transceiver 4004 is not limited to one, and the structure of the electronic device 4000 does not constitute a limitation on the embodiments of the present application.

[0130] Processor 4001 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 4001 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like.

[0131] The bus 4002 may include a path to transmit information between the above components. The bus 4002 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 4002 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0132] Memory 4003 can be ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or it can be EEPROM (Electrically Erasable Programmable Read Only Memory), CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disc, optical disk, digital versatile disc, Blu-ray disc, etc.), magnetic disk storage medium, other magnetic storage devices or any other medium that can be used to carry or store computer programs and can be read by a computer, without limitation here.

[0133] The memory 4003 is used to store the computer program for executing the embodiment of the present application, and the execution is controlled by the processor 4001. The processor 4001 is used to execute the computer program stored in the memory 4003 to implement the steps shown in the above method embodiment.

[0134] Among them, the electronic device can be any electronic product that can interact with an object, such as a personal computer, a tablet computer, a smart phone, a personal digital assistant (PDA), a game console, an interactive network television (IPTV), a smart wearable device, etc.

[0135] The electronic device may also include a network device and / or an object device, wherein the network device includes, but is not limited to, a single network server, a server group consisting of multiple network servers, or a cloud consisting of a large number of hosts or network servers for cloud computing.

[0136] The network where the electronic device is located includes but is not limited to the Internet, a wide area network, a metropolitan area network, a local area network, a virtual private network (Virtual Private Network, VPN), etc.

[0137] An embodiment of the present application provides a computer-readable storage medium, which includes a computer program. When the computer program is executed by a processor, the steps and corresponding contents of the aforementioned method embodiment can be implemented.

[0138] An embodiment of the present application provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the steps and corresponding contents of the aforementioned method embodiment can be implemented.

[0139] The terms "first", "second", "third", "fourth", "1", "2", etc. (if any) in the specification and claims of this application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than that shown or described in the drawings.

[0140] It should be understood that, although each operation step is indicated by arrows in the flowchart of the embodiment of the present application, the implementation order of these steps is not limited to the order indicated by the arrows. Unless clearly stated herein, in some implementation scenarios of the embodiment of the present application, the implementation steps in each flowchart can be performed in other orders according to demand. In addition, some or all of the steps in each flowchart may include multiple sub-steps or multiple stages based on actual implementation scenarios. Some or all of these sub-steps or stages may be executed at the same time, and each sub-step or stage in these sub-steps or stages may also be executed at different times respectively. In different scenarios of execution time, the execution order of these sub-steps or stages may be flexibly configured according to demand, and the embodiment of the present application does not limit this.

[0141] The above is only an optional implementation method for some implementation scenarios of the present application. It should be pointed out that for ordinary technicians in this technical field, without departing from the technical concept of the solution of the present application, other similar implementation methods based on the technical ideas of the present application are also within the protection scope of the embodiments of the present application.

Claims

1. A curing agent flow control method, characterized in that: Used for pneumatic mixed flow solidification construction of dredged soil, the method comprises: Obtaining a regression relationship between a flow ratio and a curing agent flow, wherein the flow ratio is a ratio of a mud flow to a curing agent flow; Acquire construction parameters of pneumatic mixed flow curing construction, and calculate curing agent flow control value according to the construction parameters and the regression relationship, wherein the construction parameters include curing agent density, curing agent flow, mud density, water content, mud flow, water-cement ratio of curing agent, curing agent density and mud flow rate; The curing agent flow rate is adjusted according to the curing agent flow rate control value.

2. The curing agent flow control method according to claim 1, characterized in that: The regression relationship between the obtained flow ratio and the curing agent flow rate includes: preparing dredged soils with different water contents, and preparing a curing agent into a curing agent slurry according to a predetermined water-cement ratio; For each moisture content of dredged soil, obtain the corresponding curing agent flow rate and mud flow rate; The regression relationship is determined according to the curing agent flow rate and the mud flow rate.

3. The curing agent flow control method according to claim 2, characterized in that: The method of obtaining the corresponding curing agent flow rate and mud flow rate for the dredged soil of each moisture content includes: For each dredged soil with different moisture content, a pneumatic mixed flow solidification calibration test is carried out based on a predetermined mud flow rate; The curing agent flow rate corresponding to the mud flow rate is determined according to the test results.

4. The curing agent flow control method according to claim 2, characterized in that: The step of determining the regression relationship according to the curing agent flow rate and the mud flow rate includes: Obtaining a regression equation corresponding to each moisture content of dredged soil according to the curing agent flow rate and the mud flow rate, wherein the regression equation is used to express the regression relationship between the flow rate ratio and the curing agent flow rate; The regression equation is used to establish a regression equation group of the flow ratio and the curing agent flow rate under different moisture content conditions.

5. The curing agent flow control method according to claim 2, characterized in that: The obtaining of construction parameters of pneumatic mixed flow curing construction includes: Prepare curing agent slurry according to the predetermined water-cement ratio, and obtain curing agent density corresponding to the curing agent slurry; The solidifying agent slurry is used to carry out pneumatic mixed flow solidification construction of dredged soil, and the construction parameters are obtained during the construction process.

6. The curing agent flow control method according to claim 1, characterized in that: The calculating the curing agent flow control value according to the construction parameter and the regression relationship includes: Calculating the measured value and the controlled value of the flow ratio using the construction parameters; A regression relationship corresponding to the current mud density is obtained, and the curing agent flow control value is calculated based on the regression relationship, the measured value and the control value.

7. The curing agent flow control method according to claim 6, characterized in that: The mud density and water content are obtained by using a sensor, and the curing agent flow rate is adjusted according to the curing agent flow rate control value, including: Determine curing agent flow change information according to the distance between the sensor and the curing agent inlet, wherein the curing agent flow change information includes an adjustment time for the curing agent flow to reach the curing agent flow control value; The curing agent flow rate is adjusted based on the curing agent flow rate change information.

8. An electronic device comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the steps of the method according to any one of claims 1 to 7.

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 steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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