Curing Agent Flow Control Method, Device, Medium and Product

Abstract

The present application provides a method, device, medium and product for controlling the flow rate of a curing agent, relating to the technical field of dredged soil solidification. The method for controlling the flow rate of the curing agent includes: obtaining the regression relationship between the flow rate ratio and the flow rate of the curing agent, where the flow rate ratio is the ratio of the slurry flow rate to the flow rate of the curing agent; obtaining the construction parameters of pneumatic mixed-flow solidification construction, calculating the control value of the flow rate of the curing agent according to the construction parameters and the regression relationship; and adjusting the flow rate of the curing agent according to the control value of the flow rate of the curing agent. The embodiments of the present application can realize the automatic regulation of the total water-cement ratio, effectively eliminate the hysteresis and error of manual regulation, reduce the variability of the solidified soil and ensure that the performance of the solidified soil meets the design requirements, and greatly improve the construction quality of pneumatic mixed-flow solidification construction.

Description

Technical Field

[0001] The present application relates to the technical field of dredged soil solidification. Specifically, the present application relates to a method, device, medium and product for controlling the flow rate of a curing agent. Background Art

[0002] To ensure the normal operation of projects such as ports and waterways, dredging maintenance needs to be carried out regularly, resulting in a huge amount of dredged soil, and its disposal has become an important problem. With the saturation of marine mud dumping areas and the improvement of environmental protection requirements in recent years, the traditional simple method of external dumping is becoming increasingly difficult to adopt. The pneumatic mixed-flow solidification technology is a new type of off-site treatment technology for dredged soil that combines pipeline transportation and solidification. Due to its unique technical advantages such as energy conservation, environmental protection, flexibility and high efficiency, it is gradually attracting attention in the large-scale disposal and resource utilization of dredged soil.

[0003] The pneumatic mixed-flow solidification technology uses compressed air to pump the slurry in the pipeline, and incorporates solidification materials such as cement during the transportation of the slurry along the pipeline. Through the turbulence formed during high-speed movement, the two are fully mixed and further transported to a designated site to quickly form solidified soil with a certain strength in a short time for subsequent utilization.

[0004] The strength of the solidified soil formed by the dredged soil and the curing 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 slurry and the curing agent to the dry mass of the solidification material). The water content of the dredged soil is difficult to change. Therefore, in the pneumatic mixed-flow solidification construction, the total water-cement ratio is adjusted by adjusting the flow rate of the curing agent. However, due to the natural non-uniformity of the incoming dredged soil, the dynamic changes in water content and density, and the pneumatic mixed-flow solidification system being a complex multiphase flow system (air, slurry, curing agent), the relationship between the flow rates of the slurry and the curing agent shows complex non-linearity. Therefore, the traditional method of relying on manual control of the flow rate of the curing agent has large hysteresis and errors, is difficult to control in real time and accurately, and is extremely likely to cause high variability of the mixed solidified soil and the strength not meeting the design requirements. Summary of the Invention

[0005] The embodiments of the present application provide a method, device, medium and product for controlling the flow rate of a curing agent, which can solve the problems that the existing control of the flow rate of the curing agent has hysteresis and errors, is difficult to control in real time and accurately, and is extremely likely to cause high variability of the mixed solidified soil and the strength not meeting the design requirements. To achieve this purpose, the embodiments of the present application provide the following several solutions.

[0006] According to one aspect of the embodiments of the present application, a method for controlling the flow rate of a curing agent is provided for the pneumatic mixed-flow solidification construction of dredged soil. The method includes:

[0007] Obtain the regression relationship between the flow ratio and the curing agent flow rate, where the flow ratio is the ratio of the slurry flow rate to the curing agent flow rate;

[0008] Obtain the construction parameters for pneumatic mixed-flow curing construction, and calculate the control value of the curing agent flow rate according to the construction parameters and the regression relationship. The construction parameters include the density of the curing agent, the flow rate of the curing agent, the density of the slurry, the moisture content, the flow rate of the slurry, the water-cement ratio of the curing agent, the density of the curing agent, and the flow velocity of the slurry;

[0009] Adjust the curing agent flow rate according to the control value of the curing agent flow rate.

[0010] In a possible implementation, the obtaining of the regression relationship between the flow ratio and the curing agent flow rate includes:

[0011] Prepare dredged soil with different moisture contents, and prepare the curing agent into a curing agent slurry according to a predetermined water-cement ratio;

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

[0013] Determine the regression relationship according to the curing agent flow rate and the slurry flow rate.

[0014] In a possible implementation, for each moisture content of the dredged soil, obtaining the corresponding curing agent flow rate and slurry flow rate includes:

[0015] For each moisture content of the dredged soil, conduct a pneumatic mixed-flow curing calibration test based on a predetermined slurry flow rate;

[0016] Determine the curing agent flow rate corresponding to the slurry flow rate according to the test results.

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

[0018] Obtain the regression equation corresponding to the dredged soil with each moisture content according to the curing agent flow rate and the slurry flow rate. The regression equation is used to represent the regression relationship between the flow ratio and the curing agent flow rate;

[0019] Use the regression equation to establish a regression equation set between the flow ratio and the curing agent flow rate under different moisture content conditions.

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

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

[0022] Perform pneumatic mixed-flow solidification construction on dredged soil using the curing agent slurry, and obtain the construction parameters during the construction process.

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

[0024] Calculate the measured value and the control value of the flow ratio using the construction parameters;

[0025] Obtain the regression relationship corresponding to the current mud density, and calculate the curing agent flow control value based on the regression relationship, the measured value, and the control value.

[0026] In a possible implementation manner, use a sensor to obtain the mud density and moisture content, and adjust the curing agent flow according to the curing agent flow control value, including:

[0027] Determine the curing agent flow change information according to the distance between the sensor and the curing agent inlet, where the curing agent flow change information includes the adjustment time when the curing agent flow reaches the curing agent flow control value;

[0028] Adjust the curing agent flow based on the curing agent flow change information.

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

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

[0031] According to one aspect of the embodiments of the present application, there is provided a computer program product, 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 brought by the technical solutions provided by the embodiments of the present application are:

[0033] The curing agent flow control method provided by this application includes: obtaining the regression relationship between the flow ratio and the curing agent flow; obtaining the construction parameters of pneumatic mixed-flow curing construction, calculating the curing agent flow control value according to the construction parameters and the regression relationship; and adjusting the curing agent flow according to the curing agent flow control value. The embodiments of this application can obtain the curing agent flow control value in real time and use this value to accurately control the curing agent flow, realizing the automatic control of the total water-cement ratio, effectively eliminating the hysteresis and error of manual control, reducing the variability of the solidified soil, and ensuring that the performance of the solidified soil meets the design requirements, thus greatly improving the construction quality of pneumatic mixed-flow curing construction. Description of the Drawings

[0034] To more clearly illustrate the technical solutions in the embodiments of this application, the following briefly introduces the drawings required for description in the embodiments of this application.

[0035] Figure 1 It is a flowchart of the curing agent flow control method provided by the embodiments of this application;

[0036] Figure 2 It is a schematic diagram of the installation positions of the sensors and electromagnetic flowmeters provided by the embodiments of this application;

[0037] Figure 3 It is the function image of R w (m) with respect to m in the curing agent flow control method provided by the embodiments of this application;

[0038] Figure 4 It is a schematic diagram for solving the curing agent flow control value provided by the embodiments of this application;

[0039] Figure 5 It is the structural diagram of the electronic device of this application. Detailed Embodiments

[0040] The following describes the embodiments of this application in conjunction with the drawings in this application. It should be understood that the embodiments described below in conjunction with the drawings are exemplary descriptions for explaining the technical solutions of the embodiments of this application, and do not constitute limitations on the technical solutions of the embodiments of this application.

[0041] Those skilled in the art can understand that, unless specifically stated otherwise, the singular forms "a", "an", "the", and "said" used herein may also include the plural forms. It should be further understood that the terms "comprising" and "including" used in the embodiments of the present application mean 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 their combinations supported by the technical field of the present invention. It should be understood that when we say an element is "connected" or "coupled" to another element, the one element can be directly connected or coupled to the other element, or it can mean 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 a 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" means implemented as "A", or implemented as "A", or implemented as "A and B".

[0042] To make the objectives, technical solutions, and advantages of the present application clearer, the following will further describe the embodiments of the present application in detail with reference to the accompanying drawings.

[0043] The technical solutions of the embodiments of the present application and the technical effects produced by the technical solutions of the present application will be described below by describing several exemplary embodiments. It should be noted that the following embodiments can be referred to, learned from, or combined with each other. For the same terms, similar features, and similar implementation steps in different embodiments, they will not be described repeatedly.

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

[0045] In the embodiments of the present application, a curing agent flow control method is provided. The device for executing the curing agent flow control method can be a computer, a server, a cloud platform, and other terminals that can calculate the curing agent flow control value during pneumatic mixing and curing construction and adjust the curing agent flow based on the curing agent flow control value.

[0046] Optionally, the curing agent flow control method of the present application is used for the pneumatic mixing and curing treatment of dredged soil, and the total water-cement ratio is adjusted in real time and accurately by adjusting the curing agent flow during the pneumatic mixing and curing treatment. Among them, 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] Optionally, as Figures 1 - 4 shown, the curing agent flow control method includes:

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

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

[0050] Optionally, the source of the dredged soil is the same as the source of the dredged soil that needs pneumatic mixing and curing construction. Before preparing the dredged soil with different water contents, obtain the dredged soil to be prepared and detect the liquid limit w L . Specifically, the liquid limit of the dredged soil can be detected by means of geotechnical tests. Among them, the geotechnical tests can be carried out according to the steps specified in the current national standard "Standard for Geotechnical Test Methods GB / T 50123-2019".

[0051] Optionally, to improve the accuracy of the regression relationship, during preparation, the equipment used can be the same as the equipment for actual pneumatic mixing and curing construction. Use this equipment to prepare the dredged soil to a preset water content, and prepare the curing agent into a curing agent slurry according to the predetermined water-cement ratio corresponding to the pneumatic mixing and curing construction.

[0052] Optionally, the water content can be determined according to the liquid limit of the dredged soil. The number of prepared dredged soils can be 5, 6, and other numbers, and the specific number can be determined according to actual needs.

[0053] In one embodiment, at least 5 portions of the prepared dredged soil have a water content between , covering both the upper and lower limits of this range. For example, 5 portions are prepared according to the water content of .

[0054] Optionally, the water-cement ratio μ c of the curing agent should be the same as the water-cement ratio of the curing agent slurry used during actual pneumatic mixing and curing construction, and not greater than 1.5..

[0055] Optionally, for each water content of the dredged soil, obtaining the corresponding curing agent flow rate and slurry flow rate includes: for each water content of the dredged soil, conducting a pneumatic mixing and curing calibration test based on a predetermined slurry flow rate; determining the curing agent flow rate corresponding to the slurry flow rate according to the test results.

[0056] Optionally, the predetermined slurry flow rate can be the slurry flow rate used during actual pneumatic mixing and curing construction. Obtain the regression relationship based on this slurry flow rate for subsequent pneumatic mixing and curing construction.

[0057] Optionally, the recorded mud flow rate Q s corresponds to the curing agent flow rate Q c is the mud flow rate and the curing agent flow rate after the strength of the solidified soil meets the design strength requirements. In the pneumatic mixing and solidification calibration test, keep the air pressure for pumping constant (i.e., keep a fixed mud flow rate), adjust the frequency of the curing agent pump to change the curing agent flow rate, detect the strength of the solidified soil at different curing agent flow rates, and record the mud flow rate Q that meets the design strength requirements of the solidified soil according to the strength s and the curing agent flow rate Q c .

[0058] Optionally, the frequency adjustment can be performed based on a preset interval, and the curing agent flow rate at different frequencies and the strength of the solidified soil at this curing agent flow rate are recorded.

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

[0060] Optionally, determine the regression relationship based on the curing agent flow rate and the mud flow rate, including: obtaining the regression equation corresponding to the dredged soil with each water content according to the curing agent flow rate and the mud flow rate, and the regression equation is used to represent the regression relationship between the flow rate ratio and the curing agent flow rate; using the regression equation to establish a regression equation system of the flow rate ratio and the curing agent flow rate under different water content conditions.

[0061] Optionally, after obtaining the mud flow rate corresponding to the curing agent flow rate when the dredged soil with different water contents is solidified, according to this curing agent flow rate Q c and the mud flow rate Q s calculate the corresponding flow rate ratio, and the calculation formula of the flow rate ratio is as follows:

[0062] where R f is the flow rate ratio.

[0063] Optionally, based on the obtained flow rate ratio, establish the regression equation of the flow rate ratio R f and the curing agent flow rate Q c at each water content level. Specifically, the regression equation adopts a polynomial model, and this polynomial model 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 are regression coefficients, i represents the number of levels of water content, and the regression coefficients can be calculated through regression analysis. The regression coefficients and the coefficient of determination R corresponding to each level of water content are obtained through this regression equation i 2 . Among them, if the coefficient of determination R i 2 is greater than or equal to the preset threshold (such as 0.90), then it is determined that the regression equation corresponding to this coefficient of determination can be adopted; if the coefficient of determination R i 2 is less than 0.9, the regression equation can be modified by repeating the experiment, removing discrete points, etc. to improve the goodness of fit

[0066] After determining the regression equations corresponding to each level of water content, summarize these regression equations to obtain the regression equation system of R f and Q c under different water content conditions. The regression equation system is as follows:

[0067]

[0068] S102: Obtain the construction parameters of pneumatic mixed-flow curing construction, and calculate the control value of the curing agent flow rate according to the construction parameters and the regression relationship

[0069] Optionally, the construction parameters include the density ρ c of the curing agent, the flow rate Q c of the curing agent, the density ρ s of the slurry, the water content w s , the flow rate Q s of the slurry, and the flow velocity v s (t) of the slurry, the water-cement ratio μ c of the curing agent, and the density ρ c of the curing agent. The parameters of the slurry and the curing agent can be detected in real time before and during the formal construction of pneumatic mixed-flow curing construction to obtain the construction parameters. Among them, 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, obtaining the construction parameters of pneumatic mixed-flow curing construction includes: preparing the curing agent slurry according to the predetermined water-cement ratio, and obtaining the density of the curing agent corresponding to the curing agent slurry; using the curing agent slurry for pneumatic mixed-flow curing construction of dredged soil, and obtaining the construction parameters during the construction process

[0071] Optionally, the operation of preparing the curing agent slurry can be performed before the start of construction, according to a fixed water-cement ratio μ cPrepare the curing agent and measure the density of the prepared curing agent slurry to obtain the density of the curing agent slurry, i.e., the curing agent density ρ c .

[0072] In one embodiment, the density measurement can be performed according to the density test regulations in the current industry standard "Standard for Test Methods of Basic Properties of Building Mortars JGJ / T 70-2009".

[0073] Optionally, during the construction process, the slurry is transported through a pipeline, and the curing agent slurry formed by the curing agent is added into the pipeline along the curing agent nozzle on the pipeline to form solidified soil of the curing agent and the slurry. The density ρ s of the slurry, the water content w s , the slurry flow rate Q s and the curing agent flow rate Q c (i.e., the flow rate of the curing agent slurry formed by the curing agent) are monitored in real time through the pipeline.

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

[0075] Optionally, the slurry flow velocity v s (t) can be calculated based on the cross-correlation function of the water contents w s1 (t), w s2 (t) detected by two sensors upstream and downstream. Specifically, in the respective time-domain discretized signals of w s1 (t), w s2 (t), a time window from (t i -t w ) to t i is defined respectively, and the length of the time window is tw , the number of sampling points N within the time window is not less than 100; based on these sampling points, calculate w s1 (t), w s2 (t) of the cross-correlation function, and the expression of this cross-correlation function is as follows:

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

[0077] Optionally, after obtaining the cross-correlation function, obtain the function image of this cross-correlation function, determine the peak value of the cross-correlation function based on this function image, and use this peak value to calculate the time for the mud to move from the position of the upstream sensor to the position of the downstream sensor.

[0078] In one embodiment, as Figure 3 shown, obtain the function image of the cross-correlation function R w (m) with respect to m, and obtain the m value corresponding to the peak of R w (m) according to this function image, and determine this value as m p , then the transit time for the mud to move from M1 to M2 is Based on the distance between the two sensors M1 and M2 and this transit time, calculate the mud flow rate at time t i

[0079] Obtain the construction parameters at each moment through the above calculation method. Among them, the construction parameters corresponding to time t i are [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, calculate the control value of the curing agent flow rate according to the construction parameters and the regression relationship, including: calculating the measured value and the control value of the flow ratio using the construction parameters; obtaining the regression relationship corresponding to the current mud density, and calculating the control value of the curing agent flow rate based on the regression relationship, the measured value, and the control value.

[0081] ​Optionally, the measured value of the flow rate ratio at time t can be calculated by the formula where Q i (t s ) represents the slurry flow rate at that time, Q i (t c ) represents the curing agent flow rate at time t i , and R i (t f ) represents the measured value of the flow rate ratio at time t i .

[0082] The control value of the flow rate ratio can be calculated by the formula , where [R i (t f )] represents the control value of the flow rate ratio at time t i , μ i represents the designed value of the total water-cement ratio, which can be determined according to the mapping relationship between the strength of the solidified soil and the total water-cement ratio, and can be obtained from the corresponding document of the pneumatic mixing and curing construction before construction. μ td represents the water-cement ratio of the curing agent slurry prepared with the curing agent. c

[0083] Optionally, as Figure 4 shown, when obtaining the regression relationship corresponding to the current slurry density, the curves of the obtained regression equations can be plotted in the same rectangular coordinate system according to the corresponding moisture content. Obtain the current slurry moisture content ω s2 (t i ), detect the interval corresponding to this slurry moisture content in this rectangular coordinate system, for example, ω s0 < ω s2 (t i ) < ω s1 . Then, based on the two regression equations corresponding to ω s0 and ω s1 , the interpolation coefficient α can be calculated, and the control value of the curing agent flow rate can be calculated based on this interpolation coefficient.

[0084] Optionally, the calculation formula of the interpolation coefficient α is as follows:

[0085] where R f1 [Q c (t i )] represents the flow rate ratio obtained from the regression equation corresponding to ω s1 , and R f0 [Q c (t i )] represents the flow rate ratio obtained from the regression equation corresponding to ω s0 .

[0086] ​Optionally, after obtaining the interpolation coefficient, the interpolation coefficient, the measured value and the control value of the flow rate ratio can be used to calculate the control value of the curing agent flow rate. The control value of the curing agent flow rate [Q c (t i ) is obtained by solving the following system of equations:

[0087]

[0088] In the above system of equations, there are 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, the control value of the curing agent flow rate [Q i at time t c (t i ) is obtained.

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

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

[0091] Optionally, when the current time is t i , after obtaining the control value of the curing agent flow rate [Q c (t i ), calculate the time for the mud to move from the downstream sensor to the curing agent inlet, and determine this time as the adjustment time for the curing agent flow rate at the curing agent inlet to reach this control value of the curing agent flow rate, and adjust the curing agent flow rate according to this 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 the adjustment time is: Δt represents the adjustment time.

[0093] In one embodiment, after obtaining the control value of the curing agent flow rate at time t i , for the control value of the curing agent flow rate [Q i (t w ) within the time window from (t i ) to t c (ti )Perform real-time calculation and send instructions to the curing agent pump to adjust its working frequency so that the injection flow rate of the curing agent reaches i [Q c (t i ) at the moment of t c [Q i (t td .

[0094] The following further describes the curing agent flow control method of the present application in combination 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 mixing and curing construction, and measure the liquid limit w of the dredged soil through laboratory tests L .

[0097] S2. Prepare several portions (not less than 5 portions) of the dredged soil at different moisture content levels, and the moisture content thereof is between covering both the upper and lower limits of this range at the same time. For example, prepare 5 portions according to ; the curing agent is prepared into a curing agent slurry in advance according to a fixed water-cement ratio μ c .

[0098] S3. For the dredged soil at each moisture content level, conduct a pneumatic mixing and curing calibration test respectively, keep the front-end air pressure for feeding unchanged, adjust the frequency of the curing agent pump to change the curing agent flow rate, and record the slurry flow rate Q s and the curing agent flow rate Q c . The frequency of the curing agent pump should be set according to not less than 11 levels, and at the same time, it should cover both the upper and lower limits of the working frequency range of the curing agent pump. For example, if the working frequency of the curing agent pump is 0-50 Hz, the frequency of the curing agent pump can be set as 0 Hz, 5 Hz, 10 Hz, 15 Hz, 20 Hz, 25 Hz, 30 Hz, 35 Hz, 40 Hz, 45 Hz, 50 Hz, and the corresponding curing agent flow rates also form not less than 9 levels.

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

[0100] Store the data of this flow ratio.

[0101] S5. Use a fourth-degree polynomial to fit the relationship between R f and Q c . If the coefficient of determination R of the fittingi 2 is greater than or equal to 0.90, then the regression equation can be adopted at this time; if the coefficient of determination R i 2 is less than 0.9, the goodness of fit should be improved by means of repeated experiments, removing discrete points, etc. According to the fitting results, the regression equation systems of R f and Q c are obtained.

[0102]

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

[0104] Furthermore, the monitoring of the mud density and water content is carried out in real time through two upstream and downstream density-water content sensors M1 and M2. The distances between them and the curing agent nozzle 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 the same and not less than 100 Hz; the mud flow rate and the curing agent flow rate 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] Even further, the water content and mud density obtained by the real-time monitoring of M1 and M2 are ρ s1 (t), w s1 (t) and ρ s2 (t), w s2 (t) respectively. The mud flow rate and the curing agent flow rate monitored by Q1 and Q2 are Q s (t), Q c (t) respectively, where t is time.

[0106] S7. Calculate the mud flow velocity v s (t) in real time. v s (t) is calculated based on the cross-correlation function of the time-domain discretized signals of the water content w s1 (t), w s2 (t) of the two upstream and downstream sensors.

[0107] Specifically, at time t i , at w s1 (t), w s2In the respective time-domain discretized signals of (t i -t w ) to t i windows are generated. The window length is t w , and the specific size can be set according to conditions such as the distance of the sensor and the construction environment. The number of sampling points N within the window is not less than 100;

[0108] Furthermore, calculate the cross-correlation function of w s1 (t) and w s2 (t). The calculation formula is as follows:

[0109]

[0110] Even further, obtain the function image of R w (m) with respect to m, and obtain the m value at the peak of R w (m), which is m p . Then the transit time for the mud to move from M1 to M2 is

[0111] Even further, calculate the average flow velocity of the mud at time t i based on the distance between M1 and M2 and the transit time

[0112] S8. Through construction parameter monitoring and detection, obtain the construction parameter sequence at each moment, that is, the construction parameter sequence corresponding to time t i 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 f (t i ) and the control value [R f (t i ) of the flow rate ratio at each moment. The calculation formula is as follows:

[0115]

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

[0117] S10. Plot the regression equations of R f and Q c obtained in S5 in the same rectangular coordinate system according to different moisture content levels; judge the interval where ω s2 (t i ). For example, ω s0 <ω s 2(t i )<ω s1 , and the moisture content intervals such as ω s0 , ω s1 ... etc. come from step S5.

[0118] S11. Based on the two regression curve equations corresponding to ω s0 and ω s1 , calculate the interpolation coefficient α as shown in the following formula:

[0119]

[0120] wherein, R f1 [Q c (t i )], R f0 [Q c (t i )] are calculated according to the corresponding regression equations in step S5;

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

[0122]

[0123] In the above equations, there are 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 such as a1, b1,... d0, e0 are obtained from step S5, and [R f (t i ) is obtained from step S9.

[0124] Solve the above equations to obtain the control value of the curing agent flow rate at this moment [Q c(t i )。

[0125] S13, t i From this moment on, the central control system calculates in real time the control value [Q i -t w )~t i of the curing agent flow rate within this time window, and sends an instruction to the curing agent pump to adjust its operating frequency so that the injected flow rate of the curing agent reaches [Q c (t i ) at the moment of t i +Δt. c (t i )。

[0126] Furthermore, Δt is the transit time of the slurry moving from the M2 position to the curing agent inlet within the time window of (t i -t w )~t i , and the calculation formula is as follows:

[0127]

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

[0129] In an alternative embodiment, an electronic device is provided. As Figure 5 shown, Figure 5 the electronic device 4000 shown includes: a processor 4001 and a memory 4003. Among them, the processor 4001 and the memory 4003 are connected, such as through a bus 4002. Optionally, the electronic device 4000 may further include a transceiver 4004, and the transceiver 4004 may be used for data interaction between this electronic device and other electronic devices, such as data sending and / or data receiving, etc. It should be noted that in practical applications, the transceiver 4004 is not limited to one, and the structure of this electronic device 4000 does not constitute a limitation to the embodiments of the present application.

[0130] The processor 4001 can 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 can implement or execute various exemplary logic blocks, modules, and circuits described in connection with the disclosure of this application. The processor 4001 can 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, etc.

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

[0132] The memory 4003 can be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory), or other types of dynamic storage devices that can store information and instructions. It can also be an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory), or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media, 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, which is not limited herein.

[0133] The memory 4003 is used to store the computer program for implementing the embodiments of this application and is controlled by the processor 4001 for execution. The processor 4001 is used to execute the computer program stored in the memory 4003 to implement the steps shown in the foregoing method embodiments.

[0134] Among them, the electronic device can be any kind of electronic product that can perform human-computer interaction with an object. For example, a personal computer, a tablet computer, a smart phone, a personal digital assistant (PDA), a game console, an Internet Protocol Television (IPTV), a smart wearable device, etc.

[0135] The electronic device may further include a network device and / or an object device. Among them, the network device includes, but is not limited to, a single network server, a server group composed of multiple network servers, or a cloud composed 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 (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 foregoing 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 foregoing method embodiment can be implemented.

[0139] Terms such as "first", "second", "third", "fourth", "1", "2", etc. (if any) in the specification, claims and above-mentioned drawings of the present application are used to distinguish similar objects, and do not have to be used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present application described here can be implemented in an order other than the illustrated or textually described order.

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

[0141] The above are only optional implementation manners of some implementation scenarios of the present application. It should be noted that for those of ordinary skill in the art, without departing from the technical concept of the solution of the present application, using other similar implementation means based on the technical idea of the present application also belongs to the protection scope of the embodiments of the present application.

Claims

1. A method for controlling the flow rate of a curing agent, characterized in that, A pneumatic mixed-flow solidification construction method for dredged soil, the method comprising: Obtaining the regression relationship between the flow ratio and the curing agent flow rate, where the flow ratio is the ratio of the slurry flow rate to the curing agent flow rate; Obtaining the construction parameters of the pneumatic mixed-flow solidification construction, and calculating the control value of the curing agent flow rate according to the construction parameters and the regression relationship. The construction parameters include the curing agent density, the curing agent flow rate, the slurry density, the moisture content, the slurry flow rate, the water-cement ratio of the curing agent, the curing agent density, and the slurry flow velocity. The slurry density and the moisture content are detected by two sensors on the pipeline for transporting the slurry, and the slurry flow velocity is obtained through the cross-correlation function corresponding to the moisture content. The cross-correlation function is: In the formula, represents the cross-correlation function, n is the serial number of the sampling points within the time window, N is the total number of sampling points within the time window, and m is the independent variable. is the water content detected by the sensor upstream of the pipeline at the time corresponding to the sampling point n. is the water content detected by the sensor downstream of the pipeline at the time corresponding to the sampling point n + m. Adjusting the curing agent flow rate according to the control value of the curing agent flow rate.

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

3. The curing agent flow control method according to claim 2, wherein The obtaining of the corresponding curing agent flow rate and slurry flow rate for each moisture content of the dredged soil includes: For each moisture content of the dredged soil, conducting a pneumatic mixed-flow solidification calibration test based on a predetermined slurry flow rate; Determining the curing agent flow rate corresponding to the slurry flow rate according to the test results.

4. The curing agent flow control method according to claim 2, characterized in that The determining of the regression relationship according to the curing agent flow rate and the slurry flow rate includes: Obtaining the regression equation corresponding to the dredged soil with each moisture content according to the curing agent flow rate and the slurry flow rate. The regression equation is used to represent the regression relationship between the flow ratio and the curing agent flow rate; Using the regression equation to establish a regression equation set 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, wherein The obtaining of the construction parameters of the pneumatic mixed-flow solidification construction includes: Preparing the curing agent slurry according to the predetermined water-cement ratio, and obtaining the curing agent density corresponding to the curing agent slurry; Using the curing agent slurry to perform pneumatic mixed-flow solidification construction on the dredged soil, and obtaining the construction parameters during the construction process.

6. The curing agent flow rate control method according to claim 1, wherein The calculating of the control value of the curing agent flow rate according to the construction parameters and the regression relationship includes: Calculating the measured value and the control value of the flow ratio using the construction parameters; Obtaining the regression relationship corresponding to the current slurry density, and calculating the control value of the curing agent flow rate based on the regression relationship, the measured value, and the control value.

7. The curing agent flow control method according to claim 6, wherein Using sensors to obtain the slurry density and the moisture content, and adjusting the curing agent flow rate according to the control value of the curing agent flow rate, including: Determining the 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 includes the adjustment time when the curing agent flow rate reaches the control value of the curing agent flow rate; Adjusting the curing agent flow rate based on the curing agent flow rate change information.

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

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, the steps of the method according to any one of claims 1-7 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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