Dredge pump sealing water pump flow self-adjusting mechanism based on impeller abrasion state and control method of dredge pump sealing water pump flow self-adjusting mechanism

Abstract

The invention relates to the technical field of intelligent control of dredging equipment, in particular to a mud pump sealing water pump flow self-adjusting mechanism based on the impeller abrasion state and a control method thereof.The mud pump sealing water pump flow self-adjusting mechanism comprises a feedback bypass connected between a water outlet of a sealing water pump and a water inlet of a shaft seal area of a mud pump, and a sensing device and an adjusting device are arranged on the feedback bypass; and the control unit is used for obtaining an initial wear gap of the impeller according to the operation monitoring data and based on a preset wear degradation model, obtaining preliminary adjustment data of the water sealing pump and the adjustment device, and correcting the preliminary adjustment data according to the bypass data after the water sealing pump and the adjustment device are preliminarily adjusted, so as to obtain target adjustment data of the water sealing pump and the adjustment device. The method has the core advantages that an indirect sensing closed-loop control system is constructed, it is ensured that supply of the sealing water flow is accurately matched with the actual abrasion state of the impeller all the time, and the problem that the reliability is insufficient due to the fact that a traditional system cannot sense abrasion is fundamentally solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent control of dredging equipment, and particularly relates to a mud pump water sealing pump flow self-adjusting mechanism based on impeller wear state and a control method thereof. BACKGROUND

[0002] In the high-concentration silt conveying system of a dredging ship, the water sealing pump, as a key matching component of the mud pump, has the core function of continuously pumping clean liquid to the shaft sealing area of the mud pump, so as to form a stable positive pressure barrier at the shaft sealing interface. The barrier can effectively prevent the backflow of the silt-containing medium to the precision area such as the main shaft bearing, protect the reliability of the sealing structure, prevent the abrasive wear of the main shaft, and ensure the long-term continuous and stable operation of the mud pump.

[0003] However, the existing water sealing system faces severe challenges when applied to the high-concentration silt conveying scene, especially during the long-period operation of the mud pump. As the wear between the impeller and the front cover plate intensifies due to silt erosion, the gap between them gradually increases, which causes the leakage of the sealing cavity to increase nonlinearly, and the required water sealing amount of the system also changes significantly. If the water sealing system cannot adjust this in real time and accurately, it will lead to the instability of the sealing cavity pressure, resulting in energy waste, and even causing silt backflow, sealing failure, and damage to the main shaft. More troublesome is that, due to the year-round underwater operation of the mud pump and the compact structure that is not easy to disassemble, the actual wear thickness of the key parameter of the impeller gap is extremely difficult to measure directly, which makes the system unable to accurately calculate and supply the required water sealing amount according to the actual wear state, seriously affecting the use effect and reliability of the water sealing system.

[0004] Therefore, there is an urgent need for a mechanism and control method that can break away from the dependence on direct measurement of the impeller gap, and instead indirectly perceive and evaluate the wear state of the impeller in real time, and dynamically and adaptively adjust the flow of the water sealing pump according to the wear state. SUMMARY

[0005] Therefore, the present application provides a mud pump water sealing pump flow self-adjusting mechanism based on the wear state of the impeller and a control method thereof, to solve the problem that the water sealing system of the mud pump in the prior art cannot be adjusted according to the wear state of the impeller.

[0006] The present application provides a mud pump water sealing pump flow self-adjusting mechanism based on the wear state of the impeller, comprising a feedback bypass connected between the water outlet of the water sealing pump and the water inlet of the shaft sealing area of the mud pump, a sensing device and an adjusting device are arranged on the feedback bypass, and the sensing device and the adjusting device are also electrically connected with a control unit, wherein the control unit is used to: acquire operation monitoring data of a mud pump system in which the mud pump and the water sealing pump are located; obtain the initial wear gap of the impeller based on a preset wear degradation model according to the operation monitoring data; obtain preliminary adjustment data of the sealing water pump and the adjusting device based on the initial wear clearance; After the preliminary adjustment of the sealing water pump and the adjusting device, obtain bypass data collected by the sensing device, and correct the preliminary adjustment data according to the bypass data to obtain target adjustment data of the sealing water pump and the adjusting device.

[0007] In a preferred implementation mode: the operation monitoring data includes cumulative conveying time, cumulative conveying flow and silt concentration; based on a preset wear degradation model, the initial wear clearance of the impeller is obtained according to the operation monitoring data, including: Based on the preset wear degradation model, the wear factor is obtained according to the cumulative conveying time, the cumulative conveying flow and the silt concentration; Based on the preset wear degradation model, the initial wear clearance is obtained according to the wear factor and the initial clearance of the impeller of the sludge pump.

[0008] In a preferred implementation mode: based on the initial wear clearance, the preliminary adjustment data of the sealing water pump and the adjusting device is obtained, including: According to the initial wear clearance, the initial wear leakage amount is obtained based on a preset clearance leakage model; According to the initial wear leakage amount, the initial sealing water flow is obtained; According to the initial sealing water flow, the theoretical adjustment data of the sealing water pump and the adjusting device is obtained; A preset proportion value of the theoretical adjustment data is taken as the preliminary adjustment data.

[0009] In a preferred implementation mode: based on the initial wear clearance, the initial wear leakage amount is obtained based on a preset clearance leakage model, including: The real-time discharge pressure of the sludge pump, the target positive pressure of the sealing cavity of the sludge pump shaft sealing area, the sealing length, the sealing diameter and the sealing water viscosity are obtained; Based on the preset clearance leakage model, the initial wear leakage amount is obtained according to the initial wear clearance, the difference between the target positive pressure of the sealing cavity and the real-time discharge pressure, the sealing length, the sealing diameter and the sealing water viscosity.

[0010] In a preferred implementation mode: after the preliminary adjustment of the sealing water pump and the adjusting device, the bypass data collected by the sensing device is obtained, and the preliminary adjustment data is corrected according to the bypass data to obtain the target adjustment data of the sealing water pump and the adjusting device, including: Within a preset time after the preliminary adjustment of the sealing water pump and the adjusting device, the bypass data collected by the sensing device is continuously obtained; According to the stability of the bypass data, the preliminary adjustment data is corrected to obtain the target adjustment data of the sealing water pump and the adjusting device.

[0011] In a preferred implementation: the bypass data includes bypass flow and overflow flow; the preliminary adjustment data is corrected according to the stability of the bypass data to obtain target adjustment data of the seal water pump and the adjusting device, including: If the overflow flow exists, the preliminary adjustment data is corrected to obtain the target adjustment data, wherein the flow generated by the shaft seal area of the mud pump under the control of the target adjustment data is lower than the flow generated under the control of the preliminary adjustment data; If the bypass flow is stable within a preset range within a preset time, the preliminary adjustment data is directly taken as the target adjustment data; If the bypass flow is not stable within a preset range within a preset time, the preliminary adjustment data is corrected to obtain the target adjustment data, wherein the flow generated by the shaft seal area of the mud pump under the control of the target adjustment data is higher than the flow generated under the control of the preliminary adjustment data.

[0012] In a preferred implementation: the control unit is further configured to: According to the target adjustment data, a target wear gap is obtained based on a preset gap leakage model; The target wear gap is taken as an initial wear gap, and the steps of obtaining the preliminary adjustment data of the seal water pump and the adjusting device based on the initial wear gap, and obtaining the bypass data collected by the sensing device after the preliminary adjustment of the seal water pump and the adjusting device, and correcting the preliminary adjustment data according to the bypass data to obtain the target adjustment data of the seal water pump and the adjusting device are repeatedly performed.

[0013] In a preferred implementation: the control unit is further configured to: According to the target adjustment data, time delay effect compensation data of the adjusting device is obtained, wherein the time delay effect compensation data is used to control the adjusting device to perform time delay compensation; According to the target adjustment data, pressure loss compensation data of the adjusting device is obtained, wherein the pressure loss compensation data is used to control the adjusting device to perform pressure compensation.

[0014] The application further provides a control method applied to any one of the mud pump seal water pump flow self-adjusting mechanisms based on the wear state of the impeller, including: Obtaining operation monitoring data of a mud pump system in which the mud pump and the seal water pump are located; According to the operation monitoring data, an initial wear gap of the impeller is obtained based on a preset wear degradation model; Based on the initial wear gap, preliminary adjustment data of the seal water pump and the adjusting device is obtained; After the preliminary adjustment of the seal water pump and the adjusting device, bypass data collected by a sensing device is obtained, and the preliminary adjustment data is corrected according to the bypass data to obtain target adjustment data of the seal water pump and the adjusting device.

[0015] The present invention also provides a computer-readable storage medium for storing a computer-readable program or instruction, which, when executed by a processor, can implement the steps in the above-described control method.

[0016] The beneficial effects of adopting the above scheme are: This invention provides a self-regulating flow rate mechanism for a mud pump and a sealing water pump based on impeller wear conditions. It includes a feedback bypass connected between the outlet of the sealing water pump and the inlet of the shaft seal area of ​​the mud pump. A sensing device and a regulating device are installed on the feedback bypass. The sensing device and the regulating device are also electrically connected to a control unit. The control unit acquires operational monitoring data of the mud pump and the sealing water pump system. Based on the operational monitoring data and a preset wear degradation model, it obtains the initial wear clearance of the impeller. Based on the initial wear clearance, it obtains preliminary regulation data for the sealing water pump and the regulating device. After preliminary regulation of the sealing water pump and the regulating device, it acquires bypass data collected by the sensing device and corrects the preliminary regulation data based on the bypass data to obtain the target regulation data for the sealing water pump and the regulating device. This invention innovatively incorporates a feedback bypass with sensing and adjustment functions between the sealing pump and the shaft seal area. First, using a preset wear degradation model, the initial wear clearance of the impeller is indirectly calculated, and a preliminary sealing water flow adjustment command is issued. After the initial adjustment, the actual flow data from the bypass is collected in real time to infer the actual leakage condition of the sealing cavity, thereby dynamically correcting the adjustment parameters to obtain the final target adjustment data. The core advantage of this invention lies in constructing a closed-loop control system of "indirect sensing-dynamic correction-precise adjustment." This system not only verifies the accuracy of the model estimation but also captures complex operating condition changes that the model could not foresee, ensuring that the sealing water flow supply always precisely matches the actual wear state of the impeller. This fundamentally overcomes the reliability issues caused by the inability to sense wear in traditional systems. Attached Figure Description

[0017] Figure 1 A schematic diagram of the self-regulating flow rate mechanism of a mud pump sealing water pump based on impeller wear state provided by the present invention; Figure 2 A flowchart of the control method provided by the present invention; Figure 3 for Figure 2 The detailed steps of step S203 are shown in the diagram. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. 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 are within the scope of protection of the present invention.

[0019] Combination Figure 1 and Figure 2 A specific embodiment of the present invention discloses a self-regulating mechanism for the flow rate of a mud pump sealing water pump based on impeller wear state. It includes a feedback bypass 310 connected between the outlet of the sealing water pump 100 and the inlet of the shaft seal area of ​​the mud pump 200. A sensing device 320 and an regulating device 330 are provided on the feedback bypass. The sensing device and the regulating device are also electrically connected to a control unit 340, wherein the control unit is used to operate the following control method: S201. Obtain operational monitoring data of the mud pump system where the mud pump and sealing water pump are located; S202. Based on the operation monitoring data, the initial wear clearance of the impeller is obtained based on the preset wear degradation model. S203. Based on the initial wear clearance, obtain preliminary adjustment data for the sealing pump and regulating device; S204. After the initial adjustment of the sealing pump and the regulating device, the bypass data collected by the sensor is obtained, and the initial adjustment data is corrected according to the bypass data to obtain the target adjustment data of the sealing pump and the regulating device.

[0020] In the above description, both the mud pump and the sealing water pump are located in the mud pump system of the dredging vessel. The mud pump is mainly used to transport underwater sludge, while the sealing water pump is used to supply liquid to the shaft seal area of ​​the mud pump to achieve mechanical sealing. The operational monitoring data includes any data monitored during the operation of the entire mud pump system, such as flow rate, pressure, equipment power, and voltage. There is already a main channel for transporting sealing liquid between the outlet of the sealing water pump and the inlet of the shaft seal area of ​​the mud pump. In this embodiment, a feedback bypass is further provided. The diameter of the feedback bypass is smaller than that of the main channel, and its length should be shorter than that of the main channel, provided that the actual mud pump location allows. The feedback bypass is equipped with sensors capable of collecting data (such as pressure sensors, flow sensors, and temperature sensors) and regulating devices for adjusting the bypass liquid (such as proportional solenoid valves). The main channel provides the basic sealing water supply, while the feedback bypass mainly serves as a "fine-tuning + feedback" channel. It is understood that the parameters, mechanical connection methods, and other features of the above-mentioned structures, as well as the specific operating principles, may vary depending on the actual situation, and all of these are existing technologies. Therefore, this article will not elaborate on them further.

[0021] The control unit can be any existing control device that controls the aforementioned hardware, such as a computer, mobile phone, or a comprehensive computing device integrating a computing chip, memory, and programmable controller. Both preliminary adjustment data and target adjustment data are used to adjust the regulating devices on the sealing pump and feedback bypass. Preliminary adjustment data is used for initial coarse adjustment, while target adjustment data is used for subsequent fine adjustment. The specific data type of the adjustment data varies depending on the specific type of regulating device and the actual software design, such as current, voltage, speed, and valve opening.

[0022] This embodiment first indirectly calculates the initial wear clearance of the impeller and issues a preliminary sealing water flow adjustment command using a preset wear degradation model. After the initial adjustment, the actual flow data of the bypass is collected in real time to infer the actual leakage condition of the sealing cavity, thereby dynamically correcting the adjustment parameters to obtain the final target adjustment data. The core advantage of this invention lies in constructing a closed-loop control system of "indirect sensing-dynamic correction-precise adjustment," which not only verifies the accuracy of the model estimation but also captures complex operating condition changes that the model could not foresee (such as instantaneous sediment concentration impacts), ensuring that the sealing water flow supply is always precisely matched with the actual wear state of the impeller, fundamentally overcoming the problems of adjustment lag and insufficient reliability caused by the inability to sense wear in traditional systems.

[0023] In the above process, the wear degradation model is a theoretical model that can calculate impeller wear based on operational monitoring data. It can be a data-driven artificial intelligence model or constructed through test simulation. This invention provides a preferred embodiment where the operational monitoring data includes cumulative transport time, cumulative transport flow rate, and sediment concentration. Step S202, based on the operational monitoring data and a preset wear degradation model, obtains the initial wear clearance of the impeller, specifically including: Based on the preset wear degradation model, the wear factor is obtained according to the cumulative transport time, cumulative transport flow rate and sediment concentration; Based on the preset wear degradation model, the initial wear clearance is obtained according to the wear factor and the initial impeller clearance of the mud pump.

[0024] This embodiment selects three key parameters that are readily available and profoundly reflect the nature of wear: cumulative transport time, cumulative transport flow rate, and sediment concentration. A comprehensive wear factor is first calculated, and then combined with the known initial impeller clearance to derive the initial wear clearance. This design cleverly avoids complex variables such as difficult-to-measure instantaneous impact loads, making the model not only simple to construct and computationally efficient, but also possessing clear physical meaning and strong generalization ability. It ensures that even in the initial deployment stage where detailed historical data is lacking, model parameters can be quickly calibrated through a small number of bench tests or simulations, and continuously self-optimized through accumulated operational data in actual operation. Most importantly, because this invention incorporates a feedback bypass for subsequent adjustments, even if the aforementioned wear degradation model is inaccurate, it will not significantly affect the adjustment of the sealing pump. The wear degradation model and the bypass design in this invention work together to effectively maintain the efficient operation of the mud pump system.

[0025] The process of calculating the initial wear clearance described above can be regarded as the calculation process of the wear degradation model, which can be expressed by the following formula: in, The wear gap is the output of the wear degradation model, i.e., the initial wear gap mentioned above. To accumulate delivery time, The cumulative transport flow rate of sediment (which can be obtained by integrating the real-time flow rate). This represents the sediment concentration (average value can be used). , , and All of these are pre-set wear coefficients, which can be obtained by fitting historical operating data.

[0026] After estimating the wear amount based on the aforementioned wear degradation model, preliminary adjustments can be made to the sealing system. Specifically, for example... Figure 3 As shown, in one embodiment, step S203 above, obtaining preliminary adjustment data for the sealing pump and the regulating device based on the initial wear clearance, specifically includes: S301. Based on the initial wear gap and a preset gap leakage model, obtain the initial wear leakage amount; S302. Obtain the initial sealing water flow rate based on the initial wear leakage rate; S303. Based on the initial sealing water flow rate, obtain the theoretical adjustment data of the sealing water pump and the regulating device; S304. Take the preset ratio value of the theoretical adjustment data as the initial adjustment data.

[0027] The theoretical adjustment data refers to the adjustment amount that the sealing pump and regulating device should theoretically be adjusted based on the initial wear clearance. The preliminary adjustment data, on the other hand, is an initial adjustment amount dynamically obtained based on the theoretical adjustment data. Specifically, assuming the sealing pump is frequency-driven and its adjustment data is the pump speed, and the regulating device is a proportional solenoid valve with its adjustment data being the valve opening, then the preliminary adjustment data for the sealing pump can be 80%-90% of its theoretical adjustment data (pump speed), and the adjustment data for the regulating device can be 50%-70% of its theoretical adjustment data (valve opening).

[0028] It is understandable that, after obtaining the initial wear leakage, the specific methods for obtaining the corresponding initial sealing water flow (such as calculating the sum of real-time flow and leakage) and adjustment data (such as obtaining them through the flow characteristic curves preset by the mud pump and valve) are existing technologies that those skilled in the art can conceive of.

[0029] This embodiment, after estimating the wear amount based on the wear degradation model, does not directly execute the theoretical full adjustment, but instead takes a preset safety ratio as the initial adjustment data. The ingenuity of this design lies in reserving a crucial safety buffer and observation window for the system. On the one hand, it avoids over-adjustment caused by model errors, parameter drift, or unforeseen instantaneous fluctuations in operating conditions (such as a sudden increase in sediment concentration), thereby preventing energy waste or pressure surges due to excessive water sealing. On the other hand, by performing a relatively mild initial adjustment, the system can safely verify and calibrate the model's accuracy using real flow data collected by subsequent bypass sensors. This step-by-step adjustment strategy greatly enhances the robustness and safety of the entire control process, ensuring that while pursuing precise control, the system always operates within stable and reliable boundaries.

[0030] The aforementioned preset gap leakage model is used to obtain the leakage amount of the sealing cavity at the water seal based on the gap. Similarly, it can also be implemented using a data-driven artificial intelligence model or a fitting model obtained through experiments and simulations. This invention provides a preferred solution. In this embodiment, S301, obtaining the initial wear leakage amount based on the preset gap leakage model according to the initial wear gap, specifically includes: Obtain the real-time discharge pressure of the mud pump, the target positive pressure of the sealing cavity in the mud pump shaft seal area, the sealing length, the sealing diameter, and the viscosity of the sealing water; Based on the preset gap leakage model, the initial wear leakage amount is obtained according to the initial wear gap, the difference between the target positive pressure and the real-time pressure relief in the sealing cavity, the sealing length, the sealing diameter, and the viscosity of the sealing water.

[0031] This embodiment employs a mechanism model based on classical fluid mechanics (such as Poiseuille's law). It directly calculates the leakage related to wear gaps using system design constants or variables easily obtained directly from conventional sensors during operation, such as real-time pressure relief, target positive pressure in the sealing cavity, sealing length, sealing diameter, and sealing water viscosity. This gives the model extremely high computational efficiency and reliability, ensuring rapid response under different operating conditions, making it an ideal solution for achieving high-precision, low-cost pre-regulation of sealing water flow.

[0032] The process of calculating the initial wear leakage described above can be regarded as the calculation process of the gap leakage model, which can be expressed by the following formula: in, This represents the initial wear leakage rate. The target positive pressure for the sealed cavity, For real-time pressure relief, The viscosity of the sealing water, For sealing length, This refers to the sealing diameter.

[0033] Furthermore, in a preferred embodiment, step S204, after the initial adjustment of the sealing pump and the regulating device, involves acquiring bypass data collected by the sensing device and correcting the initial adjustment data based on the bypass data to obtain the target adjustment data for the sealing pump and the regulating device. Specifically, this includes: Within a preset time after the initial adjustment of the sealing pump and the regulating device, the bypass data collected by the sensing device is continuously acquired. Based on the stability of the bypass data, the preliminary adjustment data is corrected to obtain the target adjustment data for the sealing pump and the regulating device.

[0034] This embodiment introduces a dynamic correction mechanism based on bypass data stability in the final step of the adjustment strategy. Specifically, after the system performs a conservative initial adjustment, it does not immediately lock the setpoint. Instead, it continuously collects data from the bypass flow sensor within a preset monitoring window (e.g., tens of seconds), and uses its stability as the standard for judging whether the adjustment is adequate. This design uses an objective and quantitative indicator to intuitively reflect whether the leakage and supply of the sealing cavity have reached a dynamic balance, avoiding misjudgments that may arise from model estimation alone. Furthermore, by judging stability, the system can intelligently confirm the effectiveness of the initial adjustment or make minor adjustments based on it, thereby obtaining the final, reliable target adjustment data.

[0035] In the above process, the stability of the bypass data can be measured using any existing method, such as determining whether the data is stable within a certain range, or statistically analyzing its variance, standard deviation, and other statistical characteristics. This invention provides a preferred method. Specifically, in one embodiment, the bypass data includes bypass flow rate and overflow flow rate. The above steps include: based on the stability of the bypass data, correcting the preliminary adjustment data to obtain the target adjustment data for the sealing pump and the regulating device, specifically including: If there is overflow flow, the preliminary adjustment data is corrected to obtain the target adjustment data, wherein the flow generated in the mud pump shaft seal area under the control of the target adjustment data is lower than the flow generated under the control of the preliminary adjustment data; If the bypass flow rate remains stable within the preset range within the preset time, the preliminary adjustment data will be directly used as the target adjustment data. If the bypass flow rate is unstable within a preset range within a preset time, the preliminary adjustment data is corrected to obtain the target adjustment data. The flow rate generated in the mud pump shaft seal area under the control of the target adjustment data is higher than the flow rate generated under the control of the preliminary adjustment data.

[0036] This embodiment utilizes the direct correlation between bypass flow rate and actual leakage in the sealing cavity. Specifically, when the total actual sealing water flow rate exceeds the compensation requirement for wear leakage, the sealing cavity pressure increases, and the excess flow rate is discharged through the overflow hole (if present) or minor leakage points, causing the bypass flow rate to stabilize. Similarly, when the initial adjustment of the sealing water flow rate successfully compensates for the wear leakage, the bypass flow rate also tends to stabilize. However, when the actual total sealing water flow rate cannot compensate for the wear leakage, the sealing cavity pressure decreases, increasing the risk of backflow. At this time, the bypass flow rate may experience a sudden drop, fluctuation, or even zero due to the intake of air or sediment. In this case, the adjustment data can be adjusted upwards to increase the supply and accurately address the potential risk of insufficient supply. This embodiment forms a complete negative feedback closed loop, which not only provides more comprehensive judgment dimensions and stronger anti-interference capabilities but also ensures that the water sealing system can quickly return to and stabilize at its optimal working state under various sudden or gradual operating conditions.

[0037] Furthermore, in a preferred embodiment, the control unit is also used for: Based on the target adjustment data and a preset gap leakage model, the target wear gap is obtained. The target wear gap is used as the initial wear gap, and step S203 is repeated. Based on the initial wear gap, the preliminary adjustment data of the sealing pump and the regulating device are obtained. Step S204 is followed by obtaining the bypass data collected by the sensing device after the initial adjustment of the sealing pump and the regulating device, and correcting the preliminary adjustment data according to the bypass data to obtain the target adjustment data of the sealing pump and the regulating device.

[0038] This embodiment reverse-engineers a preset gap leakage model, using target adjustment data obtained through bypass feedback to deduce a more accurate target wear gap. The system then uses this newly estimated gap value as the new initial wear gap, restarting a new cycle of "initial adjustment, feedback correction." This design enables the entire control system to self-calibrate and continuously optimize. Each adjustment cycle is not isolated but rather continuously corrects and refreshes the understanding of the impeller's actual wear state through feedback data, forming a dynamic and convergent estimation process. This embodiment effectively offsets potential model errors or operating condition disturbances in the initial estimation, ensuring that the sealing system maintains optimal operating performance and reliability throughout its entire lifecycle.

[0039] Furthermore, in a preferred embodiment, the control unit is also used for: Based on the target adjustment data, the time delay effect compensation data of the adjustment device is obtained, wherein the time delay effect compensation data is used to control the adjustment device to perform time delay compensation; Based on the target adjustment data, pressure loss compensation data of the regulating device is obtained, which is used to control the regulating device to perform pressure compensation.

[0040] After obtaining the final target adjustment data, this embodiment further calculates time-delay compensation data and pressure loss compensation data based on the target value and the physical characteristics of the bypass. The former is used to predict and eliminate the time delay of fluid transmission in the pipeline, ensuring that the change in sealing water flow is synchronized with the change in sealing cavity demand by advancing or delaying the timing of the fine-tuning device's action; the latter is used to dynamically correct the pressure attenuation caused by pipeline friction, elbow throttling, etc., ensuring that the actual pressure finally reaching the shaft seal area strictly meets the preset positive pressure barrier requirement by adjusting the opening of the regulating device or the pump head. This further leverages the advantages of this embodiment's design and maximizes its efficiency.

[0041] Understandably, the specific time delay compensation and pressure compensation methods can be flexibly designed according to actual conditions. For example, when impeller wear intensifies, after the sealing pump frequency is increased, the pressure in the shaft seal area may drop due to the flow not keeping up in time during the time delay of the main flow increase. At this time, the bypass can be actively opened with a large proportion of the solenoid valve to temporarily supplement the flow by taking advantage of the low time delay characteristics of the small diameter and short path of the bypass pipe, maintaining the positive pressure in the sealing cavity. After the main flow arrives, the bypass can be closed to achieve a "seamless transition". When under light load, the pressure loss of the main line decreases (flow rate decreases). The current main line loss is calculated by the bypass flow-pressure characteristics, and the outlet pressure of the sealing pump is dynamically adjusted to avoid overpressure energy consumption.

[0042] Please refer to the following: Figure 2 The present invention also provides a control method applied to the self-regulating flow rate mechanism of the mud pump sealing water pump based on impeller wear state as described in any of the above claims, comprising: Obtain operational monitoring data of the mud pump system containing the mud pump and sealing water pump; Based on the operation monitoring data, the initial wear clearance of the impeller is obtained according to the preset wear degradation model; Based on the initial wear clearance, preliminary adjustment data for the sealing pump and regulating device are obtained; After the initial adjustment of the sealing pump and regulating device, the bypass data collected by the sensor is acquired, and the initial adjustment data is corrected based on the bypass data to obtain the target adjustment data of the sealing pump and regulating device.

[0043] The present invention also provides a computer-readable storage medium for storing a computer-readable program or instruction, which, when executed by a processor, can implement the steps in the above-described control method.

[0044] This invention provides a self-regulating flow rate mechanism for a mud pump and a sealing water pump based on impeller wear conditions. It includes a feedback bypass connected between the outlet of the sealing water pump and the inlet of the shaft seal area of ​​the mud pump. A sensing device and a regulating device are installed on the feedback bypass. The sensing device and the regulating device are also electrically connected to a control unit. The control unit acquires operational monitoring data of the mud pump and the sealing water pump system. Based on the operational monitoring data and a preset wear degradation model, it obtains the initial wear clearance of the impeller. Based on the initial wear clearance, it obtains preliminary regulation data for the sealing water pump and the regulating device. After preliminary regulation of the sealing water pump and the regulating device, it acquires bypass data collected by the sensing device and corrects the preliminary regulation data based on the bypass data to obtain the target regulation data for the sealing water pump and the regulating device. This invention innovatively incorporates a feedback bypass with sensing and adjustment functions between the sealing pump and the shaft seal area. First, using a preset wear degradation model, the initial wear clearance of the impeller is indirectly calculated, and a preliminary sealing water flow adjustment command is issued. After the initial adjustment, the actual flow data from the bypass is collected in real time to infer the actual leakage condition of the sealing cavity, thereby dynamically correcting the adjustment parameters to obtain the final target adjustment data. The core advantage of this invention lies in constructing a closed-loop control system of "indirect sensing-dynamic correction-precise adjustment." This system not only verifies the accuracy of the model estimation but also captures complex operating condition changes that the model could not foresee, ensuring that the sealing water flow supply always precisely matches the actual wear state of the impeller. This fundamentally overcomes the reliability issues caused by the inability to sense wear in traditional systems.

[0045] It should be noted that the various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0046] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A self-regulating flow rate mechanism for mud pump sealing water pump based on impeller wear condition, characterized in that, This includes a feedback bypass connecting the outlet of the sealing pump and the inlet of the shaft seal area of ​​the mud pump. The feedback bypass is equipped with a sensor and a regulating device, which are also electrically connected to a control unit. The control unit is used for: Obtain operational monitoring data of the mud pump system containing the mud pump and sealing water pump; Based on the operation monitoring data, the initial wear clearance of the impeller is obtained according to the preset wear degradation model; Based on the initial wear clearance, preliminary adjustment data for the sealing pump and regulating device are obtained; After the initial adjustment of the sealing pump and regulating device, the bypass data collected by the sensor is acquired, and the initial adjustment data is corrected based on the bypass data to obtain the target adjustment data of the sealing pump and regulating device.

2. The self-regulating flow rate mechanism for mud pump sealing water pump based on impeller wear state according to claim 1, characterized in that, Operational monitoring data includes cumulative transport time, cumulative transport flow rate, and sediment concentration; Based on operational monitoring data and a pre-defined wear degradation model, the initial wear clearance of the impeller is obtained, including: Based on the preset wear degradation model, the wear factor is obtained according to the cumulative transport time, cumulative transport flow rate and sediment concentration; Based on the preset wear degradation model, the initial wear clearance is obtained according to the wear factor and the initial impeller clearance of the mud pump.

3. The self-regulating flow rate mechanism for mud pump sealing water pump based on impeller wear state according to claim 1, characterized in that, Based on the initial wear clearance, preliminary adjustment data for the sealing pump and regulating device are obtained, including: Based on the initial wear gap and a preset gap leakage model, the initial wear leakage amount is obtained. The initial sealing water flow rate is obtained based on the initial wear leakage rate; Based on the initial sealing water flow rate, the theoretical adjustment data of the sealing water pump and regulating device are obtained; The preset ratio value of the theoretical adjustment data is taken as the initial adjustment data.

4. The self-regulating flow rate mechanism for mud pump sealing water pump based on impeller wear state according to claim 3, characterized in that, Based on the initial wear gap and a preset gap leakage model, the initial wear leakage amount is obtained, including: Obtain the real-time discharge pressure of the mud pump, the target positive pressure of the sealing cavity in the mud pump shaft seal area, the sealing length, the sealing diameter, and the viscosity of the sealing water; Based on the preset gap leakage model, the initial wear leakage amount is obtained according to the initial wear gap, the difference between the target positive pressure and the real-time pressure relief in the sealing cavity, the sealing length, the sealing diameter, and the viscosity of the sealing water.

5. The self-regulating flow rate mechanism for mud pump sealing water pump based on impeller wear state according to claim 1, characterized in that, After initial adjustment of the sealing pump and regulating device, bypass data collected by the sensor is acquired, and the initial adjustment data is corrected based on the bypass data to obtain the target adjustment data for the sealing pump and regulating device, including: Within a preset time after the initial adjustment of the sealing pump and the regulating device, the bypass data collected by the sensing device is continuously acquired. Based on the stability of the bypass data, the preliminary adjustment data is corrected to obtain the target adjustment data for the sealing pump and the regulating device.

6. The self-regulating flow rate mechanism for mud pump sealing water pump based on impeller wear state according to claim 5, characterized in that, Bypass data includes bypass traffic and overflow traffic; Based on the stability of the bypass data, the preliminary adjustment data are corrected to obtain the target adjustment data for the sealing pump and regulating device, including: If there is overflow flow, the preliminary adjustment data is corrected to obtain the target adjustment data, wherein the flow generated in the mud pump shaft seal area under the control of the target adjustment data is lower than the flow generated under the control of the preliminary adjustment data; If the bypass flow rate remains stable within the preset range within the preset time, the preliminary adjustment data will be directly used as the target adjustment data. If the bypass flow rate is unstable within a preset range within a preset time, the preliminary adjustment data is corrected to obtain the target adjustment data. The flow rate generated in the mud pump shaft seal area under the control of the target adjustment data is higher than the flow rate generated under the control of the preliminary adjustment data.

7. The self-regulating flow rate mechanism for mud pump sealing water pump based on impeller wear state according to claim 1, characterized in that, The control unit is also used for: Based on the target adjustment data and a preset gap leakage model, the target wear gap is obtained. The target wear gap is used as the initial wear gap, and the steps of obtaining preliminary adjustment data of the sealing pump and regulating device based on the initial wear gap, obtaining bypass data collected by the sensing device after the preliminary adjustment of the sealing pump and regulating device, and correcting the preliminary adjustment data according to the bypass data to obtain the target adjustment data of the sealing pump and regulating device are repeated.

8. The self-regulating flow rate mechanism for mud pump sealing water pump based on impeller wear state according to claim 1, characterized in that, The control unit is also used for: Based on the target adjustment data, the time delay effect compensation data of the adjustment device is obtained, wherein the time delay effect compensation data is used to control the adjustment device to perform time delay compensation; Based on the target adjustment data, pressure loss compensation data of the regulating device is obtained, which is used to control the regulating device to perform pressure compensation.

9. A control method, characterized in that, The self-regulating flow rate mechanism for a mud pump sealing water pump based on impeller wear state, as described in any one of claims 1-8, is characterized by comprising: Obtain operational monitoring data of the mud pump system containing the mud pump and sealing water pump; Based on the operation monitoring data, the initial wear clearance of the impeller is obtained according to the preset wear degradation model; Based on the initial wear clearance, preliminary adjustment data for the sealing pump and regulating device are obtained; After the initial adjustment of the sealing pump and regulating device, the bypass data collected by the sensor is acquired, and the initial adjustment data is corrected based on the bypass data to obtain the target adjustment data of the sealing pump and regulating device.

10. A computer-readable storage medium, characterized in that, Used to store computer-readable programs or instructions, which, when executed by a processor, enable the implementation of the steps in the control method of claim 9.

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