Method and system for analyzing characteristics of dredger mud pump based on dynamic changes of mud concentration

Abstract

The application provides a method and system for analyzing the characteristics of a dredge pump based on the dynamic changes in mud concentration, belonging to the technical field of dredgers, comprising the following steps: Step 1, establishing a mud state sequence at the inlet of the dredge pump and a dredge pump speed sequence, wherein the mud state sequence contains time, flow rate and density information, and the dredge pump speed sequence records real-time speed data of the dredge pump; Step 2, based on the mud state sequence, calculating the mud volume and mass at the inlet of the dredge pump at each time, and forming a data set of the volume sequence and the mass sequence; Step 3, calculating the time length for mud to move from the inlet to the outlet of the dredge pump, and determining the mud movement time by comparing the volume sequence with the volume of the dredge pump in real time; Step 4, calculating the average density of the mud in the dredge pump based on the dynamic concentration data obtained from the time and mass sequences; and Step 5, calculating the flow rate, lift and power of the dredge pump at each time in real time according to the changes in the speed of the dredge pump, the parameters of the mud at the inlet and the similarity law.

Description

Technical Field

[0001] This application belongs to the field of dredging technology, and specifically relates to a method and system for analyzing the characteristics of dredging pumps based on dynamic changes in mud concentration. Background Technology

[0002] In dredging operations, hydraulic dredgers are key equipment for mud transportation, and the performance of their core component, the mud pump, directly affects the efficiency and cost of the entire project. The operating environment for mud pumps is complex and variable, including but not limited to the effects of wind, waves, and currents, terrain changes, soil variations, and adjustments to the vessel's speed. These factors collectively cause the mud pump to transport mud with a concentration that cannot be kept constant. In actual operations, the mud concentration fluctuates widely, ranging from low concentrations close to clear water to high concentrations exceeding 50% as a normal occurrence.

[0003] Traditional methods for calculating mud pump characteristics, in order to simplify the calculation process and facilitate practical applications, typically assume that the internal mud concentration of the pump is constant during mud transportation, either under clear water conditions or by setting a fixed concentration for steady-state approximation analysis. This method ignores the dynamic changes in mud concentration over time and space, as well as the impact of pump speed regulation on characteristic parameters. Therefore, it is difficult to accurately calculate and optimize the mud transportation process, and it cannot dynamically reflect the changing characteristics of the entire process, including pump speed regulation, lateral movement, and mud concentration variations, during actual operation of the construction vessel. In practical applications, the limitations of this simplified analysis method lead to inaccurate predictions of key parameters such as maximum discharge pressure, flow rate, and efficiency of the mud pump. This, in turn, affects the adjustment of construction process parameters and the optimization design of the control system, increases the difficulty of training technical personnel, and adds uncertainty to construction operations.

[0004] Therefore, existing technologies have the following main shortcomings when calculating the mud pumping process of hydraulic dredgers: 1. Ignoring mud concentration changes: Traditional calculation methods only consider static mud concentration, which cannot reflect the dynamic changes of mud concentration with time and space in actual operations.

[0005] 2. Simplified speed regulation effect: The dynamic impact of the mud pump speed regulation process on the mud conveying characteristics was not fully considered, which simplified the complexity of mud pump speed regulation.

[0006] 3. Steady-state approximation analysis: Relying on steady-state approximation analysis ignores the non-steady-state characteristics of mud pump operation in dredging projects, resulting in deviations between the calculation results and the actual operating conditions.

[0007] 4. Limited Prediction Accuracy: Due to the above simplifications, the accuracy of existing technologies in predicting parameters such as maximum discharge pressure, flow rate, power, and efficiency of mud pumps is limited, affecting construction efficiency and cost control.

[0008] 5. Control optimization difficulty: Simplified analysis methods are difficult to effectively guide the dynamic adjustment of mud pump speed control and construction process parameters, which increases the difficulty of designing and optimizing the control system.

[0009] In summary, traditional methods for calculating mud concentration in hydraulic dredger pumps lack consideration for dynamic changes, making it difficult to provide accurate predictions of pump performance. This limits the improvement of construction efficiency and effective cost control, while also increasing the difficulty of training technicians and the uncertainty of construction operations. Therefore, it is necessary to develop a new calculation method to overcome the limitations of existing technologies and achieve comprehensive and accurate simulation of the working characteristics of mud pumps. Summary of the Invention

[0010] To address the shortcomings of existing technologies, this invention provides a method and system for analyzing the characteristics of dredger pumps based on dynamic changes in mud concentration. By introducing mud concentration as a key parameter, a dynamic model of slurry transport in the pump is derived. Furthermore, by combining the variable speed characteristics of the pump, the pump speed at different times is discretized, accurately simulating the pump's flow rate and head, flow rate and power, and flow rate and efficiency characteristics under different mud concentrations. This not only obtains the average slurry concentration within the pump at various times but also allows for a refined analysis of the impact of dynamically changing mud physical properties on pump operation, thereby enabling realistic prediction of the slurry transport process. This provides a scientific basis for the design, operation, maintenance, and control system development of core equipment in slurry transport systems.

[0011] The primary objective of this patent is to provide a method for analyzing the characteristics of dredger pumps based on dynamic changes in mud concentration, including: Step 1: Establish the mud state sequence and mud pump speed sequence at the mud pump inlet. The mud state sequence includes time, flow rate, and density information, and the mud pump speed sequence records the real-time speed data of the mud pump. Step 2: Based on the mud state sequence, calculate the mud volume and mass at the mud pump inlet at each time point to form a dataset of volume and mass sequences; Step 3: Calculate the time it takes for the mud to travel from the inlet to the outlet of the mud pump, and determine the mud movement time by comparing the volume sequence with the mud pump volume in real time. Step 4: Calculate the average density of the slurry inside the mud pump, based on the dynamic concentration data calculated from the time and mass sequence. Step 5: Based on the changes in pump speed, inlet slurry parameters, and similarity laws, calculate the flow rate, head, and power of the pump at each moment in real time.

[0012] Furthermore, the establishment of the mud state sequence and mud pump speed sequence in step 1 includes: using a sensor array and data acquisition system to monitor the changes in mud concentration and flow rate at the mud pump inlet and dynamically adjust the mud pump speed in real time, so as to reflect the actual operating conditions of the mud pump during dredging operations.

[0013] Furthermore, in the calculation of the mud pump volume and mass in step 2, a three-dimensional fluid model is used. The three-dimensional fluid model is based on the continuous medium mechanics equations and combines time, flow velocity and density information to calculate the volume and mass of the mud pump inlet at each time point.

[0014] Furthermore, the numerical simulation method is specifically the finite element method or the finite volume method.

[0015] Furthermore, in step 3, the time it takes for the mud to reach the outlet is calculated using the following formula:

[0016] in, V ij For the volume of mud, t k For a moment, v k For the flow velocity in the pipe, A The pipe area; if If the volume equals the total volume of the mud pump, then the distance of the mud transported to the mud pump outlet is determined, and (t) is established. i , t j The time pair indicates that the mud entering the mud pump inlet at time i flows out of the mud pump outlet at time j.

[0017] Furthermore, step 4 includes: First, obtain the total mass of mud within the time pair (ti, tj). ; ; in, ; Then calculate the average density. i ; i =M ij / V ij ; This allows us to obtain the mud density of the mud pump under dynamic mud conditions.

[0018] Furthermore, in step 5: The formula for converting flow rate is: ; The flow rate of the mud. The flow rate of clean water; The formula for calculating head is: ; The mud pump's head. To provide the clean water head for the mud pump. For mud density, For coefficients; The power calculation formula is: ; The shaft power of the mud pump. The shaft power of the mud pump for clean water. For mud density, is a coefficient.

[0019] The second objective of this invention is to provide a dredging vessel pump characteristic analysis system based on dynamic changes in mud concentration, comprising: The sequence construction module establishes a mud state sequence and a mud pump speed sequence at the mud pump inlet. The mud state sequence includes time, flow rate, and density information, and the mud pump speed sequence records real-time mud pump speed data. The sequence analysis module calculates the volume and mass of mud at the mud pump inlet at each moment based on the mud state sequence, forming a dataset of volume and mass sequences. The time calculation module calculates the time it takes for the mud to travel from the inlet to the outlet of the mud pump, and determines the mud movement time by comparing the volume sequence with the mud pump volume in real time. The density analysis module calculates the average density of the slurry inside the mud pump, based on dynamic concentration data calculated from time and mass sequences. The pump parameter analysis module calculates the flow rate, head, and power of the mud pump in real time based on changes in the mud pump speed, inlet slurry parameters, and similarity laws.

[0020] A third objective of this invention is to provide a computer program product, comprising a computer program that is executed by a processor to perform the aforementioned method for analyzing the characteristics of dredger pumps based on dynamic changes in mud concentration.

[0021] A fourth objective of this invention is to provide a computer-readable storage medium including instructions that, when executed on a computer, cause the computer to perform the aforementioned method for analyzing the characteristics of dredger pumps based on dynamic changes in mud concentration.

[0022] The advantages and positive effects of this invention are as follows: This invention takes the dynamic change of mud concentration as the core factor affecting the slurry transport characteristics of mud pumps, and thus proposes a precise calculation method for the dynamic transport characteristics of mud pump slurry. By analyzing the inlet and outlet positions and volume of the mud pump, the average concentration at each time moment is calculated. Furthermore, by combining the mud inlet parameters (including flow rate and concentration) of the mud pump, a dynamic sequence of mud concentration at any time moment is constructed. These sequences provide reliable basic data for subsequent calculations of the external characteristics of the mud pump. Then, by synchronously discretizing the change in the mud pump speed with the inlet flow sequence, and using the mud pump similarity law (which describes the performance relationship of pumps under similar operating conditions), the head, power, and efficiency characteristics at each time moment are accurately calculated under a given flow rate and concentration, thereby ensuring the realization of dynamic calculation of mud pump slurry transport. This method not only achieves a theoretical breakthrough but also provides a practical basis for the stable operation and optimized control of mud transport systems. Attached Figure Description

[0023] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings: Figure 1 A flowchart of a preferred embodiment of the present invention; Figure 2 This is a schematic diagram of a preferred embodiment of the present invention. Detailed Implementation

[0024] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0025] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0026] Please see Figure 1 and Figure 2 A method for analyzing the characteristics of dredger pumps based on dynamic changes in mud concentration includes: Step 1: Establish the mud state sequence and mud pump speed sequence at the mud pump inlet. The mud state sequence includes time, flow rate, and density information, and the mud pump speed sequence records the real-time speed data of the mud pump. The core objective of this step is to establish the mud state sequence and mud pump speed sequence at the mud pump inlet (time, flow rate, density, and speed). The initial state of the mud pump at time t0 includes: the total amount of mud in the pump body at time t0, the mud pump inlet pipe diameter, mud pump volume, inlet and outlet elevation, speed, clean water flow rate, head, power, and other information. Establish the mud state sequence (ti, vi, γi) and rotational speed sequence (ni) at the mud pump inlet.

[0027] Step 2: Based on the mud state sequence, calculate the mud volume and mass at the mud pump inlet at each time point to form a dataset of volume and mass sequences; This step involves establishing an inlet mud volume sequence (t) based on the mud pump inlet pipe diameter D. i v i ●D 2 ●π / 4、γ i ) Establish quality sequence (t) i v i ●D 2 ●π / 4●γ i ; Step 3: Calculate the time it takes for the mud to travel from the inlet to the outlet of the mud pump, and determine the mud movement time by comparing the volume sequence with the mud pump volume in real time. By combining the initial state set at time t0 with the state sequence set of mud pump inlet mud volume, the total volume of mud entering at time i at any time j is obtained; Summation,

[0028] in, V ij For the volume of mud, t k For a moment, v k For the flow velocity in the pipe, A The pipe area; if V ij If the volume equals the total volume of the mud pump, then the distance of the mud transported to the mud pump outlet is determined, and a ( ) is established. t i ，t jThe time pair indicates that the mud entering the mud pump inlet at time i flows out of the mud pump outlet at time j.

[0029] Step 4: Calculate the average density of the slurry inside the mud pump, based on the dynamic concentration data calculated from the time and mass sequence. First, obtain the time pair (t) i , t j Total mass of mud in ) ; ; in, ; Then calculate the average density. i ; i =M ij / V ij ; This allows us to obtain the mud density of the mud pump under dynamic mud conditions.

[0030] Step 5: Based on the changes in pump speed, inlet slurry parameters, and similarity laws, calculate the flow rate, head, and power of the pump at each moment in real time.

[0031] Based on the rotational speed ni of the mud pump system, combined with the mud pump similarity law and the obtained average density of the slurry inside the mud pump, the characteristics of the mud pump are calculated: Formula for calculating the effect of mud pump speed variation on mud pump performance parameters (similarity law): ; ; ; In the formula: n is the rotational speed, Q is the flow rate, H is the head, and N is the power; The complete characteristics of the mud pump are obtained by combining the slurry formula mentioned above; Flow conversion formula: In practical applications, for ease of calculation, it can be done according to Calculations, ignoring errors.

[0032] The flow rate of the mud (m³) 3 / h), The flow rate of clean water (m) 3 / h); Head calculation formula: ; In the formula, The mud pump head (m) is the mud pump's head. The head (m) of the mud pump is the clean water head. The density of the mud (t / m³) 3 ), For coefficients; Power calculation formula:

[0033] In the formula, The shaft power (kW) of the mud pump slurry. The shaft power (kW) of the mud pump for clean water. The density of the mud (t / m³) 3 ), is a coefficient.

[0034] Specifically, the establishment of the mud state sequence and mud pump speed sequence in step 1 includes: using a sensor array and data acquisition system to monitor the changes in mud concentration and flow rate at the mud pump inlet and dynamically adjust the mud pump speed in real time, so as to reflect the actual operating conditions of the mud pump during dredging operations.

[0035] In the calculation of the mud pump volume and mass in step 2, a three-dimensional fluid model is used. The three-dimensional fluid model is based on the continuous medium mechanics equation and combines time, flow velocity and density information to calculate the volume and mass of the mud pump inlet at each time.

[0036] The numerical simulation method is specifically the finite element method or the finite volume method.

[0037] This invention records in detail the mud concentration and flow velocity at the inlet of a mud pump at each moment in a continuous time series. Specifically, real-time data is collected using high-precision sensors to ensure uniform time intervals. The slurry volume at each moment is obtained by multiplying the flow velocity at each moment by the interval between adjacent moments. Here, the interval represents the time step, such as seconds or minutes, ensuring that the volume calculation accurately reflects the actual flow. Finally, the sediment load at each moment is obtained by multiplying the total volume by the concentration, thereby quantifying the sediment mass during the sediment transport process.

[0038] This invention accurately calculates the fluid volume between the inlet and outlet of a mud pump based on a three-dimensional model. This model, constructed using 3D software, simulates the internal flow channel geometry of the mud pump. Combining the internal flow channel volume with subsequently continuously marked mud concentration and velocity data at the pump inlet, the time it takes for the mud to reach the pump outlet at the initial moment is rigorously calculated based on the principle of a leak-free, constant volume. This principle ensures fluid continuity and avoids energy loss. Furthermore, mud parameters at the pump inlet and outlet, including auxiliary variables such as pressure and temperature, are obtained, providing a foundation for subsequent analysis.

[0039] This invention accumulates the slurry and sediment quantities at each time interval within the slurry period obtained from the previous step at the slurry pump inlet and outlet positions. The accumulation process uses an integral algorithm to process discrete data points. This is then divided by the total volume of the slurry pump to obtain the average slurry concentration within the pump. This average concentration represents the overall mixing state during pump operation, facilitating the evaluation of transport efficiency.

[0040] This invention discretizes the mud pump system's rotational speed adjustment process in sync with the mud flow rate and concentration sequence. The discretization employs an equal-interval sampling method to ensure data point alignment. The rotational speed of the mud pump at any given time is obtained. Combined with the average mud concentration, inlet velocity, and rotational speed at each time point, these are used as input conditions for calculating the external characteristics of the mud pump, such as head, power, and efficiency. Based on the mud pump similarity rate, the external characteristics of the mud pump under various parameters are obtained. The similarity rate includes proportionality laws and performance curve conversion. This completes the entire process of changes in the external characteristics of the mud pump under varying slurry flow rates and concentrations, covering the entire operating cycle from startup to steady state, thus achieving a complete description of the dynamic process.

[0041] A dredger pump characteristic analysis system based on dynamic changes in mud concentration is provided to implement the aforementioned dredger pump characteristic analysis method based on dynamic changes in mud concentration. The system includes: The sequence construction module establishes a mud state sequence and a mud pump speed sequence at the mud pump inlet. The mud state sequence includes time, flow rate, and density information, and the mud pump speed sequence records real-time mud pump speed data. The sequence analysis module calculates the volume and mass of mud at the mud pump inlet at each moment based on the mud state sequence, forming a dataset of volume and mass sequences. The time calculation module calculates the time it takes for the mud to travel from the inlet to the outlet of the mud pump, and determines the mud movement time by comparing the volume sequence with the mud pump volume in real time. The density analysis module calculates the average density of the slurry inside the mud pump, based on dynamic concentration data calculated from time and mass sequences. The pump parameter analysis module calculates the flow rate, head, and power of the mud pump in real time based on changes in the mud pump speed, inlet slurry parameters, and similarity laws.

[0042] A computer program product includes a computer program that is executed by a processor to perform the above-described method for analyzing the characteristics of dredger pumps based on dynamic changes in mud concentration.

[0043] A computer-readable storage medium includes instructions that, when executed on a computer, cause the computer to perform the above-described method for analyzing the characteristics of dredger pumps based on dynamic changes in mud concentration.

[0044] This invention first establishes a mud pump inlet mud state sequence and a mud pump rotation speed sequence. This step ensures real-time monitoring and data recording of dynamic mud concentration and rotation speed changes. Next, by calculating the volume and mass of the mud at the mud pump inlet at each moment, a volume and mass sequence dataset is formed, realizing the quantification of dynamic mud parameters. Subsequently, by calculating the time it takes for the mud to travel from the mud pump inlet to the outlet in real time and comparing the volume sequence with the mud pump volume, the slurry travel time is accurately determined, which is lacking in previous technologies. Furthermore, based on the dynamic concentration data calculated from the time and mass sequences, the average density of the slurry inside the mud pump is obtained. This process enables the mud pump characteristic calculation to adapt to constantly changing concentration environments. Finally, based on the changes in pump speed, inlet slurry parameters, and similarity laws, the characteristic parameters of the pump, such as flow rate, head, and power, are calculated in real time at various moments. This allows the pump's characteristic curve to be dynamically adjusted under actual working conditions, improving the efficiency and safety of dredging operations, reducing energy waste and equipment damage risks caused by improper parameter adjustments, and providing a scientific basis for adjusting construction process parameters, predicting maximum discharge pressure and flow rate, and improving the control system. It also helps cultivate the ability of technicians to cope with complex working conditions. Overall, this method, by incorporating considerations of dynamic slurry concentration and speed changes, significantly enhances the realism and accuracy of pump characteristic calculations, improving the adaptability and operational efficiency of hydraulic dredgers in various dredging environments.

[0045] It is obvious to those skilled in the art that the modules or steps of the present invention described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. They can be implemented using computer-executable program code, and thus can be stored in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those described herein, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0046] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, or improvements made within the principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for analyzing the characteristics of a dredger's mud pump based on dynamic changes in mud concentration, characterized in that, include: Step 1: Establish the mud state sequence and mud pump speed sequence at the mud pump inlet. The mud state sequence includes time, flow rate, and density information, and the mud pump speed sequence records the real-time speed data of the mud pump. Step 2: Based on the mud state sequence, calculate the mud volume and mass at the mud pump inlet at each time point to form a dataset of volume and mass sequences; Step 3: Calculate the time it takes for the slurry to travel from the pump inlet to the outlet. Determine the slurry travel time by comparing the volume sequence with the pump volume in real time; wherein: The following formula is used to estimate the time it takes for the mud to reach the outlet: ； in, V ij For the volume of mud, t k For a moment, v k For the flow velocity in the pipe, A The pipe area; if V ij If the volume equals the total volume of the mud pump, then the mud is transported to the mud pump outlet, establishing (…). t i ，t j The time pair indicates that the mud entering the mud pump inlet at time i flows out of the mud pump outlet at time j. Step 4: Calculate the average density of the slurry inside the mud pump, based on the dynamic concentration data calculated from the slurry movement time and mass sequence; specifically including: First, obtain the time pair (t) i , t j Total mass of mud in ) ; ； in, ; Then calculate the average density. i ; i =M ij / V ij ; This allows us to obtain the mud density of the mud pump under dynamic mud conditions. Step 5: Based on the changes in pump speed, inlet slurry parameters, and similarity laws, calculate the flow rate, head, and power of the pump at each moment in real time; where: The formula for converting flow rate is: ; The flow rate of the mud. The flow rate of clean water; The formula for calculating head is: ; The mud pump's head. To provide the clean water head for the mud pump. For mud density, For coefficients; The power calculation formula is: ; The shaft power of the mud pump. The shaft power of the mud pump for clean water. For mud density, is a coefficient.

2. The method for analyzing the characteristics of dredger pumps based on dynamic changes in mud concentration according to claim 1, characterized in that, The establishment of the mud state sequence and mud pump speed sequence in step 1 includes: using a sensor array and data acquisition system to monitor the changes in mud concentration and flow rate at the mud pump inlet and dynamically adjust the mud pump speed in real time, so as to reflect the actual operating conditions of the mud pump during dredging operations.

3. The method for analyzing the characteristics of dredger pumps based on dynamic changes in mud concentration according to claim 1 or 2, characterized in that, In the calculation of mud volume and mass in step 2, a three-dimensional fluid model is used. The three-dimensional fluid model is based on the continuous medium mechanics equations and combines time, flow velocity and density information to calculate the volume and mass of the mud at the mud pump inlet at each time.

4. A dredging vessel pump characteristic analysis system based on dynamic changes in mud concentration, characterized in that, include: The sequence construction module establishes a mud state sequence and a mud pump speed sequence at the mud pump inlet. The mud state sequence includes time, flow rate, and density information, and the mud pump speed sequence records real-time mud pump speed data. The sequence analysis module calculates the volume and mass of mud at the mud pump inlet at each moment based on the mud state sequence, forming a dataset of volume and mass sequences. The time estimation module estimates the time it takes for the mud to travel from the inlet to the outlet of the mud pump, and determines the mud movement time by comparing the volume sequence with the mud pump volume in real time; wherein: The following formula is used to estimate the time it takes for the mud to reach the outlet: ； in, V ij For the volume of mud, t k For a moment, v k For the flow velocity in the pipe, A The pipe area; if V ij If the volume equals the total volume of the mud pump, then the mud is transported to the mud pump outlet, establishing (…). t i ，t j The time pair indicates that the mud entering the mud pump inlet at time i flows out of the mud pump outlet at time j. The density analysis module calculates the average density of the slurry inside the mud pump, based on dynamic concentration data derived from the slurry's movement time and mass sequence; specifically, it includes: First, obtain the time pair (t) i , t j Total mass of mud in ) ; ； in, ; Then calculate the average density. i ; i =M ij / V ij ; This allows us to obtain the mud density of the mud pump under dynamic mud conditions. The pump parameter analysis module calculates the flow rate, head, and power of the mud pump in real time based on changes in pump speed, inlet slurry parameters, and similarity laws; among which: The formula for converting flow rate is: ; The flow rate of the mud. The flow rate of clean water; The formula for calculating head is: ; The mud pump's head. To provide the clean water head for the mud pump. For mud density, For coefficients; The power calculation formula is: ; The shaft power of the mud pump. The shaft power of the mud pump for clean water. For mud density, is a coefficient.

5. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it is described in any one of claims 1-3 as the method for analyzing the characteristics of a dredging vessel's mud pump based on dynamic changes in mud concentration.

6. A computer-readable storage medium comprising instructions, when executed on a computer, causing the computer to perform the method for analyzing the characteristics of a dredger pump based on dynamic changes in mud concentration as described in any one of claims 1-3.

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