Pipeline blockage monitoring method and system for wet metallurgy slurry conveying

Abstract

The embodiment of the invention provides a pipeline blockage monitoring method and system for wet metallurgy slurry conveying, and belongs to the technical field of pressure measurement and pipeline blockage monitoring. The method comprises the following steps: collecting multi-point pressure signals along a slurry pipeline, and extracting pressure pulsation amplitudes and phase characteristics in a pump fundamental frequency and frequency multiplication range based on the multi-point pressure signals so as to establish an on-way pulsation transmission sequence; determining equivalent on-way impedance based on comparison between the on-way pulse transmission sequence and a reference working condition, and outputting an initial judgment result for representing a blockage risk; flow temperature and viscosity estimation parameters are introduced based on the initial judgment result to carry out rheological correction on an impedance threshold value, and a high-frequency phase difference is extracted at an elbow section to update a candidate blockage position; and based on the updated candidate blockage position and the corrected impedance threshold, fusing a phase stability index, and generating and outputting a current blockage evaluation result. According to the scheme, early-stage accurate positioning and stable judgment of slurry pipeline blockage can be achieved under complex working conditions.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of pressure measurement and pipeline blockage monitoring, in particular to a pipeline blockage monitoring method for hydrometallurgical slurry transportation and a pipeline blockage monitoring system for hydrometallurgical slurry transportation. BACKGROUND

[0002] In the hydrometallurgical process, common process links include preparation, transportation and leaching reaction of the slurry. Due to the high solid content and complex rheological properties of the slurry, and the easy deposition or adhesion in the transportation process, pipeline blockage problems occur frequently. Once the pipeline is blocked, not only will it cause production interruption, but also may cause equipment overload, pump body damage and even overflow accidents, resulting in serious economic losses and safety risks. Therefore, how to realize real-time monitoring and blockage early warning of the slurry transportation pipeline has been a key demand in the hydrometallurgical industry.

[0003] The monitoring method commonly used in the industry at present is mainly based on pressure difference, that is, by setting pressure sensors on the upstream and downstream of the pipeline, monitoring the change of pressure difference to determine whether there is blockage. However, this method has obvious limitations: on the one hand, the solid content and viscosity of the slurry fluctuate greatly in the production process, when the solid content increases or the temperature drops, even if there is no blockage, the pressure difference will also increase, resulting in a large number of false positives; on the other hand, the pressure difference method can only reflect the overall resistance change, and cannot accurately locate the spatial position of the blockage, once local deposition occurs, it is often not until close to complete blockage that it is detected. In addition, the slurry is often accompanied by bubbles and two-phase flow, which will cause the pressure signal to fluctuate sharply, making the monitoring result unstable, further reducing the reliability of the pressure difference method.

[0004] In summary, the biggest problem of the existing slurry pipeline blockage monitoring method is that it relies on a single pressure difference parameter, which is easily affected by solid content fluctuations, rheological property changes and gas-liquid two-phase interference, lacking stability in monitoring and being difficult to effectively identify the blockage position. This problem has long restricted the safety and continuity of the hydrometallurgical slurry transportation process. SUMMARY

[0005] The purpose of the embodiments of the present application is to provide a pipeline blockage monitoring method and system for hydrometallurgical slurry transportation, to at least solve the problem of the prior art that the monitoring is easily disturbed by working condition fluctuations and lacks accuracy.

[0006] To achieve the above object, the first aspect of the present application provides a pipeline blockage monitoring method for hydrometallurgical slurry transportation, which comprises: collecting multi-point pressure signals along a slurry pipeline; extracting pressure fluctuation amplitude and phase characteristics within a pump fundamental frequency and its multiple frequency range based on the multi-point pressure signals to establish a fluctuation transmission sequence along the pipeline; determining equivalent impedance along the pipeline based on comparison between the fluctuation transmission sequence along the pipeline and a reference working condition, and outputting a preliminary judgment result for representing a blockage risk; introducing flow temperature and viscosity estimation parameters based on the preliminary judgment result to perform rheological correction on an impedance threshold value, and extracting a high-frequency phase difference at a bend section to update a candidate blockage position; fusing a phase stability index based on the updated candidate blockage position and the corrected impedance threshold value to generate and output a current blockage evaluation result.

[0007] Optionally, the extracting of the pressure fluctuation amplitude and phase characteristics within the pump fundamental frequency and its multiple frequency range based on the multi-point pressure signals to establish the fluctuation transmission sequence along the pipeline comprises: performing frequency domain transformation on the multi-point pressure signals to separate out pump fundamental frequency and multiple frequency components; calculating amplitude size and phase angle of the fundamental frequency and multiple frequency components of each measuring point respectively; arranging phase difference values and amplitude attenuation values between adjacent measuring points in the order of pipeline arrangement to form a fluctuation delay sequence and an attenuation sequence; and combining the fluctuation delay sequence and the attenuation sequence to construct the fluctuation transmission sequence along the pipeline.

[0008] Optionally, the arranging of the phase difference values and amplitude attenuation values between adjacent measuring points in the order of pipeline arrangement to form the fluctuation delay sequence and the attenuation sequence comprises: calculating phase difference values within a target frequency band between each two measuring points along the pipeline, and sequentially storing to form an initial phase difference matrix; calculating amplitude attenuation ratios between the same measuring points, and synchronously storing to form an amplitude attenuation matrix; expanding and arranging the phase difference matrix into the fluctuation delay sequence according to the physical arrangement order of the pipeline; and expanding and arranging the amplitude attenuation matrix into the attenuation sequence.

[0009] Optionally, the determining of the equivalent impedance along the pipeline based on comparison between the fluctuation transmission sequence along the pipeline and the reference working condition, and the outputting of the preliminary judgment result for representing the blockage risk comprise: calling a fluctuation transmission sequence along the pipeline under a reference working condition, the reference working condition corresponding to a phase delay and amplitude attenuation curve collected and calibrated under a non-blockage state; comparing the fluctuation transmission sequence along the pipeline established in real time with the reference working condition sequence segment by segment to respectively calculate phase delay difference values and amplitude attenuation difference values of each segment; performing fusion operation on the phase delay difference values and the amplitude attenuation difference values according to a preset weight function to obtain an equivalent impedance increment of each segment; comparing the equivalent impedance increment with a preset impedance threshold value to determine whether there is a blockage trend in the target segment, and obtaining a preliminary judgment result including the impedance increment size and a segment exceeding the threshold value as the preliminary judgment result for representing the blockage risk.

[0010] Optionally, based on the preliminary judgment result, a flow temperature and viscosity estimation parameter is introduced to rheologically correct the impedance threshold value, including: calling an online flow meter and a temperature sensor at the same time as outputting the preliminary judgment result, to obtain real-time flow values and real-time temperature values at corresponding time points; inputting the real-time flow values and real-time temperature values into a preset viscosity estimation model to calculate apparent viscosity parameters and yield stress parameters of the slurry; inputting the apparent viscosity parameters and yield stress parameters as correction factors into a correction model of the impedance threshold value to generate a corrected impedance threshold value; comparing the corrected impedance threshold value with the equivalent head loss increment in the preliminary judgment result to eliminate misjudgments caused by solid content fluctuations or temperature drifts, and outputting a rheologically corrected judgment result.

[0011] Optionally, the viscosity estimation model is constructed based on an empirical correlation of flow and temperature coupling, and the construction rule is: collecting measured viscosity data of the slurry under different solid content and temperature conditions, and recording corresponding flow, temperature and pressure loss information; based on the measured viscosity data and corresponding working condition parameters, a multivariate regression analysis method is used to extract the coupling relationship between apparent viscosity and flow, temperature; a yield stress correction term is introduced into the regression equation to compensate for the influence of nonlinear sudden increase of viscosity under high solid content conditions; the regression equation is corrected by least square fitting and residual analysis to form an apparent viscosity prediction formula that can be used for online calculation; and the apparent viscosity prediction formula is solidified as a viscosity estimation model.

[0012] Optionally, a high-frequency phase difference is extracted at the elbow section to update the candidate blockage position, including: arranging at least one pressure sensing point on the upstream and downstream of the elbow, and synchronously collecting high-frequency pulsation signals above the pump fundamental frequency; performing spectrum decomposition on the upstream and downstream pressure signals to screen out phase components in the target high-frequency band; calculating the phase delay difference between the upstream and downstream measuring points, and comparing it with the phase delay difference of the adjacent straight pipe section; determining that the candidate blockage position is located at the elbow section when the phase delay difference of the elbow is abnormal while the difference value of the straight pipe section remains stable; and updating the candidate blockage position of the elbow section to the blockage judgment result.

[0013] Optionally, based on the updated candidate blockage position and the corrected impedance threshold, a phase stability index is fused to generate and output a current blockage evaluation result, including: obtaining the candidate blockage position updated by the elbow high-frequency phase difference and the flow-corrected impedance threshold, and synchronously calling the phase stability index; matching the candidate blockage position with the impedance increment of the corresponding section to form a sectional impedance criterion; performing weighted operation on the phase stability index and the sectional impedance criterion according to a preset fusion weight to generate a comprehensive blockage index for representing the blockage degree; comparing the comprehensive blockage index with a preset severity grading table to obtain the corresponding severity grade; and writing the blockage index and the severity grade into the current blockage evaluation result and outputting to the user end.

[0014] Optionally, the phase stability index and the sectional impedance criterion are weighted according to a preset fusion weight to generate a comprehensive blockage index for representing the blockage degree, including: establishing a one-to-one correspondence between the phase stability index and the sectional impedance criterion to map the phase stability index to the corresponding section of the candidate blockage position; setting the preset fusion weight according to the working condition sensitivity analysis result, wherein the impedance criterion is used as a dominant parameter and the phase stability index is used as a confidence correction factor; performing weighted average operation on the impedance increment of each section and the phase stability index to obtain a sectional comprehensive blockage index; splicing the comprehensive blockage indexes of each section according to the pipeline arrangement sequence to form a complete along-the-line blockage index distribution curve; and extracting the maximum comprehensive blockage index in the distribution curve as the comprehensive blockage index.

[0015] The second aspect of the present application provides a pipeline blockage monitoring system for wet metallurgical slurry transportation, the system comprising: a collection unit for collecting multi-point pressure signals along the slurry pipeline, extracting pressure fluctuation amplitude and phase characteristics in the pump fundamental frequency and multiple frequency range based on the multi-point pressure signals to establish an along-the-line fluctuation transmission sequence; a preliminary judgment unit for determining an equivalent along-the-line impedance based on the comparison between the along-the-line fluctuation transmission sequence and the reference working condition, and outputting a preliminary judgment result for representing the blockage risk; a correction unit for introducing flow temperature and viscosity estimation parameters to perform flow correction on the impedance threshold based on the preliminary judgment result, and extracting a high-frequency phase difference at the elbow section to update the candidate blockage position; and an output unit for generating and outputting a current blockage evaluation result based on the fusion of the updated candidate blockage position and the corrected impedance threshold and a phase stability index.

[0016] Through the technical scheme, the present application scheme extracts the pulsation amplitude and phase characteristics in the pump fundamental frequency and multiple frequency range by arranging multiple-point pressure collection positions on the slurry pipeline, establishes a transmission sequence of the pulsation along the pipeline, and thus can obtain more complete flow state information than a single-point pressure difference. By comparing and calculating the equivalent impedance along the pipeline by comparing the transmission sequence with a reference working condition, the risk determination can be output in time at the initial stage of blockage, and false positives caused by relying on a single pressure difference signal can be avoided. Further, the flow, temperature and viscosity parameters are introduced to flow-revise the impedance threshold value, and the high-frequency phase difference extraction of the elbow section is combined, so that dynamic calibration under working condition drift and update of the local deposition position are realized. Finally, by fusing the phase stability index and the revised impedance criterion, a quantitative blockage index and severity level are generated, so that stable and reliable evaluation results can still be output under the conditions of solid content fluctuation and gas-liquid interference. Overall, the method effectively improves the accuracy, stability and positioning ability of slurry pipeline blockage monitoring.

[0017] Other features and advantages of the present application will be illustrated in detail in the following specific embodiments. BRIEF DESCRIPTION OF DRAWINGS

[0018] The accompanying drawings are included to provide a further understanding of the present application and constitute a part of the specification, and are used together with the following specific embodiments to explain the present application, but do not constitute a limitation on the present application. In the drawings: Figure 1 is a step flow chart of a pipeline blockage monitoring method for hydrometallurgical slurry transportation provided by an embodiment of the present application.

[0019] Figure 2 is a schematic structural diagram of an application system of a pipeline blockage monitoring method for hydrometallurgical slurry transportation provided by an embodiment of the present application; Figure 3 is a system structure diagram of a pipeline blockage monitoring system for hydrometallurgical slurry transportation provided by an embodiment of the present application.

[0020] Explanation of reference signs 10-slurry storage tank; 20-transport pipeline; 30-pump device; 40-pressure sensor. DETAILED DESCRIPTION

[0021] To make the objects, technical solutions and advantages of the embodiments of the present application clearer, the following will be combined with the accompanying drawings for the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. It should be understood that the specific implementation manners described herein are merely used for explaining and explaining the embodiments of the present application and should not be used to limit the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative effort fall within the scope of protection of the present application.

[0022] It should be noted that if the embodiments of the present application involve directional indications (such as up, down, left, right, front, back, etc.), the directional indications are merely used to explain the relative positional relationship, motion condition, etc. between components in a certain specific posture (as shown in the drawings), and if the specific posture changes, the directional indications also change accordingly.

[0023] In addition, if the embodiments of the present application involve descriptions such as “first”, “second”, etc., the descriptions of “first”, “second”, etc. are merely for description purposes and should not be understood as indicating or implying the relative importance of the indicated technical features or implicitly indicating the number of the indicated technical features. Therefore, the features limited by “first”, “second” can explicitly or implicitly include at least one of the features. In addition, the technical solutions of the various embodiments can be combined with each other, but it must be based on the fact that a person of ordinary skill in the art can implement it, and when the combination of technical solutions contradicts each other or cannot be implemented, it should be considered that the combination of technical solutions does not exist and is not within the scope of protection claimed by the present application.

[0024] As shown in Figure 1 , the present embodiment provides a pipeline blockage monitoring method for hydrometallurgical slurry transportation, the method comprising: Step S1: collecting multi-point pressure signals along the slurry pipeline, extracting pressure fluctuation amplitude and phase characteristics in the pump fundamental frequency and multiple frequency range based on the multi-point pressure signals, to establish an on-line fluctuation transmission sequence.

[0025] Specifically, as Figure 2 , the application system provided by the present embodiment is mainly used for pipeline blockage monitoring in the process of hydrometallurgical slurry transportation. The system includes a slurry storage tank 10, a transportation pipeline 20, a pump device 30 and a pressure sensor 40. The slurry storage tank 10 is used to store the slurry that needs to be transported in the hydrometallurgical process, to ensure a stable supply source of the slurry. The pump device 30 is connected to the outlet end of the slurry storage tank 10, and is used to pressurize the incoming slurry, so that it can be stably transported in the long-distance pipeline. The transportation pipeline 20 is connected to the outlet end of the pump device 30, and constitutes the main transportation channel of the slurry, which includes straight pipe sections and elbow sections, and not only bears the transportation function, but also is the key position where the slurry is easy to deposit and block.

[0026] To realize real-time monitoring of the blocked state, pressure sensors 40 are respectively installed at the straight pipe section and the upstream and downstream positions of the elbow of the conveying pipeline 20. The pressure sensors arranged at the straight pipe section are used to capture the normal propagation characteristics of the pulsation along the pipeline, and the sensors at the upstream and downstream of the elbow are used to monitor the mutation of the high-frequency phase difference, so as to identify whether local blockage occurs at the elbow. The pressure signals at each measuring point are continuously collected, and after processing, the pulsation transmission sequence along the pipeline is formed, and is further used for impedance calculation and blockage risk discrimination. Compared with the traditional method relying on single-point pressure difference, the structure can comprehensively capture the propagation characteristics of the slurry in the pipeline, especially realize sensitive identification of the local impedance mutation at the elbow, so as to discover the blockage position earlier and more accurately, and ensure the safety and continuity of the wet metallurgical slurry conveying process.

[0027] Specifically, based on the multi-point pressure signals, the pressure pulsation amplitude and phase characteristics in the pump fundamental frequency and multiple frequency range are extracted to establish the pulsation transmission sequence along the pipeline, including: performing frequency domain transformation on the multi-point pressure signals to separate out the pump fundamental frequency and multiple frequency components; calculating the amplitude and phase angle of the fundamental frequency and multiple frequency components of each measuring point respectively; arranging the phase difference values and amplitude attenuation values between adjacent measuring points in the order of pipeline arrangement to form the pulsation delay sequence and the attenuation sequence; combining the pulsation delay sequence and the attenuation sequence to construct the pulsation transmission sequence along the pipeline.

[0028] Further, the phase difference values and amplitude attenuation values between adjacent measuring points are arranged in the order of pipeline arrangement to form the pulsation delay sequence and the attenuation sequence, including: calculating the phase difference values in the target frequency band between each two measuring points along the pipeline, and sequentially storing to form an initial phase difference matrix; calculating the amplitude attenuation ratio between the same measuring points, and synchronously storing to form an amplitude attenuation matrix; arranging the phase difference matrix in the order of pipeline physical arrangement to form the pulsation delay sequence; arranging the amplitude attenuation matrix in the order of pipeline physical arrangement to form the attenuation sequence.

[0029] In the slurry pipeline, in order to more accurately capture the dynamic characteristics related to blockage, data collection needs to be performed on the pressure measuring points arranged at different positions along the pipeline, and not only limited to the traditional static pressure difference, but also the periodic pressure pulsation caused by the pump operation is used as an information source. Specifically, first, multiple pressure sensing points are arranged at the inlet section, key straight pipe section, and elbow section prone to deposition of the pipeline, and each measuring point continuously records the pressure signal under the same time reference. Since the slurry pump produces obvious periodic pulsation during operation, the pulsation is most significant in the pump fundamental frequency and multiple frequency components in the frequency domain, so after frequency domain transformation, the collected pressure signals can clearly separate out these frequency components.

[0030] Further, a fast Fourier transform (FFT) needs to be performed on the collected raw pressure time series to convert the signal from time domain to frequency domain, so as to extract the amplitude and phase characteristics in the pump fundamental frequency and the frequency multiplication range. The fundamental frequency here usually corresponds to the rotation frequency of the pump impeller, and the frequency multiplication reflects the harmonic components of the interaction between the slurry flow and the pipeline. Through this processing method, each measuring point can obtain a set of frequency component characteristics closely related to the pump working condition, including the amplitude size and phase angle in the frequency band.

[0031] After obtaining the amplitude and phase characteristics of each measuring point, instead of simply using each point, the transmission law along the pipeline is formed by comparing adjacent measuring points. Specifically, between any two adjacent measuring points, the phase difference value in the same frequency band is calculated to represent the time delay of the pulsation in the propagation process; at the same time, the amplitude attenuation ratio is calculated to reflect the loss of pulsation energy under the flow impedance. Arranging these phase difference values and amplitude attenuation values in sequence according to the physical arrangement of the pipeline can construct the so-called pulsation delay sequence and attenuation sequence.

[0032] In order to make this processing method more reproducible, further rules can be refined as follows: first, between each two measuring points along the pipeline, the phase difference value is calculated for the pump fundamental frequency and the preset frequency multiplication band one by one, and these difference values are stored in sequence according to the measuring point number to form an initial phase difference matrix. The rows and columns of this matrix correspond to the relative position relationship between different measuring points. At the same time, the amplitude attenuation ratio in the corresponding frequency band also needs to be calculated between the same measuring points, which is also stored in the form of a matrix to form an amplitude attenuation matrix.

[0033] Further, in order to make these matrices consistent with the actual spatial arrangement of the pipeline, the matrices need to be unfolded according to the physical sequence of the pipeline. The so-called physical sequence is the spatial arrangement sequence of the pipeline from the pump outlet to the final output end, including the sequence of straight pipe sections and elbow sections. Based on this, the phase difference matrix is unfolded to form a continuous pulsation delay sequence, which is used to intuitively reflect the change of the delay caused by the propagation of the pulsation in space. Similarly, the amplitude attenuation matrix is unfolded to form an attenuation sequence, which is used to depict the law of the attenuation of the pulsation energy in space.

[0034] Through this processing method, the pulsation transmission sequence along the pipeline can be finally obtained, which essentially integrates the delay and attenuation data in two dimensions and can fully characterize the dynamic propagation characteristics of the slurry in the pipeline. Since the blockage often manifests as an increase in local impedance, which in turn manifests as a sudden change in phase delay or an abnormality in amplitude attenuation in the pulsation propagation process, this transmission sequence along the pipeline can very intuitively present the section where the abnormal position is located, thereby providing reliable input data for subsequent impedance calculation and blockage risk judgment.

[0035] The present application scheme can overcome the defect that single-point pressure difference is easily affected by solid content fluctuation and instantaneous disturbance, and can realize comprehensive capture of fluctuation propagation law in the slurry conveying process. Compared with the existing method which relies on a single pressure difference parameter, this method can more accurately identify potential blockage areas and significantly improve the stability and localizability of monitoring.

[0036] Step S2: determining the equivalent along-line impedance based on the comparison between the along-line fluctuation transmission sequence and the reference working condition, and outputting a preliminary judgment result for representing the blockage risk.

[0037] Specifically, the along-line fluctuation transmission sequence under the reference working condition is called, and the reference working condition corresponds to the phase delay and amplitude attenuation curves collected and calibrated under the non-blockage state. The along-line fluctuation transmission sequence established in real time is compared with the reference working condition sequence in sections, and the phase delay difference and amplitude attenuation difference of each section are calculated respectively. The phase delay difference and amplitude attenuation difference are fused according to a preset weight function to obtain the equivalent along-line impedance increment of each section. The equivalent along-line impedance increment is compared with a preset impedance threshold to determine whether the target section has a blockage trend, and a preliminary judgment result including the impedance increment size and the section exceeding the threshold is obtained as the preliminary judgment result for representing the blockage risk.

[0038] In the blockage monitoring process of the slurry pipeline, only relying on the pressure change of a single point is often insufficient to accurately determine the formation and development of blockage, because the solid content fluctuation and rheological property change of the slurry will cause significant disturbance to the single-point pressure. In order to solve this problem, the along-line fluctuation transmission sequence established in the foregoing is used, and it is compared with the fluctuation transmission sequence under the reference working condition, so as to determine the equivalent along-line impedance, and on this basis, output a preliminary judgment result capable of representing the blockage risk.

[0039] Specifically, the along-line fluctuation transmission sequence under the reference working condition needs to be called first. The reference working condition here should be in the state that the pipeline is kept unblocked and has no blockage or deposition, and is collected by multiple pressure measuring points. The reference sequence mainly includes the phase delay curve and the amplitude attenuation curve in the pump fundamental frequency and multiple frequency ranges. These curves, after being collected and calibrated for many times, can more stably reflect the normal law of fluctuation propagation in the pipeline under the non-blockage condition. In order to ensure reproducibility, a group of reference sequences under multiple typical flow rates and solid content conditions are usually established and stored in a model library for subsequent real-time comparison and calling.

[0040] During operation, the real-time fluctuation transmission sequence is continuously compared with the reference working condition sequence in sections. The so-called section-by-section comparison is to calculate the phase delay difference and amplitude attenuation difference of each section with the adjacent two pressure measuring points on the pipeline as a section. For example, the fundamental frequency phase delay between adjacent measuring points under the reference working condition may be 3°, and the real-time delay is 7°, so the delay difference is 4°. Similarly, if the reference amplitude attenuation is 0.1 and the real-time attenuation is 0.3, the attenuation difference is 0.2. In this way, a set of phase difference value sequence and attenuation difference value sequence covering the entire pipeline can be obtained.

[0041] However, relying solely on the phase difference value or the attenuation difference value often cannot fully reflect the real situation of the blockage. The phase delay is sensitive to local impedance mutation, but is easily affected by slight fluctuations in pump speed; the amplitude attenuation can represent the overall trend of energy loss, but the signal-to-noise ratio is low in the case of low solid content. Therefore, a preset weight function needs to be designed to integrate the phase delay difference and the amplitude attenuation difference. The common method is to normalize the phase difference value and the amplitude difference value respectively, and then set the weight proportion according to experimental experience, for example, the phase difference accounts for 0.6 and the amplitude difference accounts for 0.4, and then calculate the weighted sum to obtain the equivalent along-path impedance increment of the section. In this way, the sensitivity of the phase delay is ensured, and the robustness of the amplitude attenuation is also considered.

[0042] After calculating the equivalent along-path impedance increment of each section, it also needs to be compared with the preset impedance threshold. The so-called impedance threshold is the tolerable range considering the influence of solid content, temperature and flow fluctuation on fluctuation propagation under the condition of no blockage. Usually when establishing the reference sequence, through multiple acquisitions of comparison results under different working conditions, a set of upper and lower limits in a statistical sense can be obtained. Comparing the real-time impedance increment with this threshold interval, when the increment exceeds the threshold, it can be considered that there is a blockage trend in this section.

[0043] In actual application, multiple sections may exceed the threshold at the same time. At this time, the size and distribution characteristics of the increment need to be further analyzed. For example, if the impedance increment of a bend section is much higher than that of a straight pipe section, it usually means that there is local deposition at the bend. If multiple straight pipe sections along the pipeline have moderate impedance increments, it may be an overall increase in solid content or general fouling of the pipe wall. Through such a judgment logic, local blockage and overall resistance increase can be more accurately distinguished.

[0044] Finally, the output will include the impedance increment size and its preliminary judgment result exceeding the threshold section. This preliminary judgment result is not just a simple "blockage / non-blockage" binary judgment, but a risk description with quantitative information. It can include specific impedance increment values, section numbers exceeding the threshold, phase difference and amplitude difference contribution ratios, etc. These information can provide necessary data support for subsequent correction steps (such as flow variation correction and phase stability criterion introduction), and can also directly serve as an early warning signal for blockage risk, guiding operation and maintenance personnel to take cleaning or unblocking measures in time.

[0045] The present application scheme compares the real-time pulsating transmission sequence with the reference working condition sequence segment by segment, calculates the phase delay difference and amplitude attenuation difference, and fuses them through a preset weight function, to obtain an equivalent incremental impedance along the pipeline reflecting local impedance changes. Compared with the traditional method based on single-point pressure difference, this method can significantly improve the sensitivity and accuracy of blockage risk identification, not only can detect the blockage trend in advance, but also can provide quantitative information of the blockage position, thereby effectively improving the operation stability and safety of the hydrometallurgical slurry conveying process.

[0046] Step S3: Based on the preliminary judgment result, introduce flow temperature and viscosity estimation parameters to perform rheological correction on the impedance threshold, and extract high-frequency phase difference at the elbow section to update the candidate blockage position.

[0047] Specifically, the online flow meter and temperature sensor are called at the same time as the preliminary judgment result is output, to obtain the real-time flow value and real-time temperature value at the corresponding time; the real-time flow value and real-time temperature value are input into a preset viscosity estimation model to calculate the apparent viscosity parameter and yield stress parameter of the slurry; the apparent viscosity parameter and yield stress parameter are used as correction factors and substituted into a correction model of the impedance threshold to generate a corrected impedance threshold; the corrected impedance threshold is compared with the equivalent incremental impedance along the pipeline in the preliminary judgment result to eliminate false positives caused by solid content fluctuations or temperature drift, and a rheologically corrected discrimination result is output.

[0048] Further, the viscosity estimation model is constructed based on an empirical correlation of flow and temperature coupling, and the construction rule is: collecting measured viscosity data of the slurry under different solid content and temperature conditions, and recording the corresponding flow, temperature and pressure loss information; based on the measured viscosity data and the corresponding working condition parameters, a multivariate regression analysis method is used to extract the coupling relationship between apparent viscosity and flow, temperature; a yield stress correction term is introduced in the regression equation to compensate for the influence of nonlinear sudden increase of viscosity under high solid content conditions; the regression equation is corrected through least squares fitting and residual analysis to form an apparent viscosity prediction formula that can be used for online calculation; the apparent viscosity prediction formula is solidified as a viscosity estimation model.

[0049] In the slurry pipeline blockage monitoring process in the embodiment of the application, there is still some uncertainty in the preliminary judgment result obtained by comparing the pulsation transmission sequence along the pipeline with the reference working condition. The main reason is that the physical properties of the hydrometallurgical slurry have significant time-varying characteristics, and in particular, the solid content and temperature conditions have a great influence on the fluid viscosity and yield stress. Changes in these rheological parameters will directly cause the overall drift of the phase delay and amplitude attenuation of the pressure pulsation, so that false positives of impedance increment exceeding the threshold value may occur without real blockage.

[0050] Specifically, first, the online flow meter and temperature sensor need to be called to obtain the real-time flow value and real-time temperature value at the corresponding moment while outputting the preliminary judgment result. The core purpose of this step is to capture the working condition of the slurry at the monitoring moment, because the flow determines the movement state of the slurry in the pipeline, and the temperature affects the viscosity of the liquid phase in the slurry, and both of them determine the rheological characteristics of the slurry as a whole. By ensuring real-time collection of flow and temperature, input parameters can be provided for subsequent viscosity calculation.

[0051] Next, the real-time flow value and real-time temperature value are input into the preset viscosity estimation model to calculate the apparent viscosity parameter and yield stress parameter of the slurry. The "apparent viscosity" here is for non-Newtonian fluids, which may change significantly under different flow conditions, and hydrometallurgical slurry usually belongs to non-Newtonian fluid with thixotropy or plasticity. The yield stress parameter reflects the minimum stress required for the slurry to start flowing, which is particularly important under high solid content conditions, because even if the flow and temperature remain unchanged, excessive yield stress will significantly change the flow characteristics of the slurry in the pipeline. Through the viscosity estimation model, the real-time rheological parameters can be calculated based on the conventional measurable parameters (flow, temperature) without the need for direct online measurement of viscosity.

[0052] After obtaining the apparent viscosity and yield stress, they are used as correction factors to input into the correction model of the impedance threshold value, thereby generating the corrected impedance threshold value. The correction model usually uses weighted adjustment to functionally couple the reference impedance threshold value with the viscosity factor and the yield factor. For example, the adjustment proportion of the impedance threshold value can be set to be proportional to the viscosity and nonlinearly related to the yield stress, so as to ensure that when the slurry actually thickens or the flowability decreases, the threshold value can also be raised accordingly to avoid false judgments.

[0053] After the revised impedance threshold is calculated, it needs to be compared with the equivalent impedance increment in the preliminary judgment result. If the impedance increment exceeds the revised threshold, it can be more reliably determined that there is a congestion trend in the section; if the impedance increment does not exceed the revised threshold, it can be considered that the impedance baseline drift is caused by the fluctuation of rheological properties, and the misjudgment should be excluded. The final output result is the judgment result after the rheological correction, which can significantly improve the stability and reliability of the monitoring.

[0054] Further, the viscosity estimation model is not set arbitrarily, but is constructed based on an empirical correlation formula coupled with flow rate and temperature. The specific construction rule is as follows: first, in the laboratory or under field conditions, collect the measured viscosity data of the slurry under different solid content and temperature conditions, and simultaneously record the corresponding flow rate, temperature and pressure loss information. These raw data form a multi-dimensional working condition database, which can fully reflect the rheological response of the slurry under different operating conditions.

[0055] Then, based on the above measured viscosity data and corresponding working condition parameters, a multivariate regression analysis method is used to extract the coupling relationship between apparent viscosity and flow rate, temperature. For example, a regression equation containing linear terms, cross terms and nonlinear terms can be constructed, with flow rate and temperature as independent variables and viscosity as dependent variable, thereby establishing an empirical model in a statistical sense. In this way, the different viscosity levels of the slurry under high temperature and low solid content or low temperature and high solid content conditions can be quantitatively reflected.

[0056] In the regression equation, a yield stress correction term needs to be introduced additionally to compensate for the influence of nonlinear sudden increase of viscosity under high solid content conditions. Because when the solid content of the slurry exceeds a certain threshold, the growth of viscosity is no longer a linear trend, but shows a steep rise. If this nonlinear characteristic is not corrected, the prediction deviation of the model in the high solid content interval will be too large. The introduction of the yield stress correction term ensures that the model still has good accuracy under high solid content conditions.

[0057] Subsequently, the regression equation is revised through least squares fitting and residual analysis to control the error between the predicted value and the measured value within a reasonable range. For example, abnormal points can be removed in residual analysis, and the weight coefficients are refitted to finally obtain a more robust prediction model. In one possible way, the apparent viscosity prediction formula is: ; wherein, is the viscosity prediction value; is the reference apparent viscosity value; are empirical regression coefficients respectively, corresponding to the weights of flow rate, temperature, yield stress and interaction effect, which need to be obtained by fitting experimental data; Q is the real-time flow rate value, i.e. the flow rate of the slurry measured by the online flow meter at the monitoring time; Qr is a reference flow value, usually the flow value in the experimental data set or the typical working condition, used for normalization; T is a real-time temperature value (absolute temperature K); T r is a reference temperature value (K); is a real-time yield stress parameter; is a reference yield stress value; m and n are exponential parameters, respectively used to describe the non-linear effects of flow and temperature on apparent viscosity, and require m>0 and n>0.

[0058] The modified prediction formula is solidified into a viscosity estimation model and stored in the model library of the monitoring method. During actual operation, only the real-time flow and temperature need to be input to quickly output the apparent viscosity parameter and the yield stress parameter for the rheological correction link.

[0059] Through the above steps, the impedance threshold can be dynamically adjusted with the fluctuations of the slurry rheological properties, avoiding false positives or false negatives caused by changes in solid content and temperature.

[0060] The biggest advantage of the present application is the introduction of a correction link closely related to the actual rheological properties of the slurry, making the determination of the risk of blockage more stable and reliable. The traditional simple differential pressure or fluctuation ratio method is prone to false signals when the solid content fluctuates greatly or the temperature changes frequently. The present method realizes real-time adaptive adjustment of the impedance threshold by establishing a coupling model between flow, temperature and viscosity, so that the real blockage can be accurately identified when it occurs, and false positives will not be triggered during normal fluctuations. This processing method greatly improves the applicability and robustness of the monitoring method under complex metallurgical working conditions.

[0061] Further, the high-frequency phase difference in the elbow section is extracted to update the candidate blockage position, including: arranging at least one pressure sensing point on the upstream and downstream of the elbow, and synchronously collecting high-frequency pulsation signals above the pump fundamental frequency; performing spectral decomposition on the upstream and downstream pressure signals to screen out the phase components in the target high-frequency band; calculating the phase delay difference between the upstream and downstream measuring points, and comparing it with the phase delay difference of the adjacent straight pipe section; determining that the candidate blockage position is located in the elbow section when the phase delay difference of the elbow is abnormal and the difference value of the straight pipe section remains stable; updating and writing the candidate blockage position of the elbow section into the blockage discrimination result.

[0062] In the embodiment of the present application, the elbow section is the most likely to cause local deposition and blockage in the slurry conveying pipeline. This is because the slurry has strong inertia when flowing in the straight pipe section, and the flow direction changes suddenly at the elbow, so the solid particles are prone to accumulate on the inner side wall of the elbow. Therefore, in the blockage monitoring, it is necessary to separately detect and check the elbow section. For this purpose, at least one pressure sensing point is arranged upstream and downstream of the elbow, and these sensing points combined with the sensing points arranged in the straight pipe section can form a more complete monitoring network. The upstream and downstream sensing points must be time-synchronized, and the target signal collected is the high-frequency pulsation signal above the pump fundamental frequency, because the high-frequency component is more sensitive to the disturbance of the local flow state.

[0063] In the data processing link, the pressure signals of the upstream and downstream sensing points need to be subjected to spectral decomposition. The spectral decomposition can use Fast Fourier Transform (FFT) or Short Time Fourier Transform (STFT) to convert the original signal from time domain to frequency domain. Then, the phase component of the target high-frequency band is selected from the decomposition result, and this band is usually set to be more than twice the pump fundamental frequency to avoid the periodic pulsation interference of the pump itself, and to amplify the disturbance effect of the blockage on the propagation path.

[0064] Further, the phase delay difference between the upstream and downstream sensing points is calculated to obtain the high-frequency phase delay characteristics of the elbow section. At the same time, the high-frequency phase delay difference is extracted from the sensing point pair adjacent to the elbow section, which is used as a control reference. The reason for introducing the straight pipe section as a control is that the straight pipe section usually does not have geometric mutations, and if the phase delay of the straight pipe section remains stable while the elbow section changes abnormally, then this abnormality is more likely to be caused by blockage.

[0065] In order to realize automatic determination, a preset threshold value needs to be set. The threshold value is usually determined by the mean value and standard deviation of the elbow phase difference obtained by multiple acquisitions under no blockage condition. For example, the threshold value can be set to the interval of mean value ± 3σ, and when the elbow phase delay difference exceeds this interval while the phase delay of the adjacent straight pipe section is still within the normal range, it is determined that blockage has occurred at the elbow. Through this method, early identification can be realized when local deposition just affects the pulsation propagation.

[0066] The candidate blockage position of the elbow section determined is updated and written into the blockage determination result, and the result obtained based on the impedance increment and the global pulsation transmission sequence is fused to form a more accurate candidate position marker. This multiple cross-checking mechanism avoids false positives caused by simply relying on the impedance threshold, making the positioning of the blockage position more reliable and stable.

[0067] The scheme can significantly enhance the positioning capability of local blockage by arranging pressure sensing points upstream and downstream of the elbow and extracting high-frequency phase difference. When the signal of the straight pipe section is stable and the signal of the elbow section is abnormally delayed, the blockage position can be clearly locked in the elbow, thereby improving the spatial resolution and diagnostic accuracy of the monitoring method.

[0068] Step S4: generating and outputting a current blockage evaluation result based on the updated candidate blockage position and the corrected impedance threshold value.

[0069] Specifically, the candidate blockage position updated by the high-frequency phase difference of the elbow and the flow-corrected impedance threshold value are obtained, and the phase stability index is synchronously retrieved; the candidate blockage position is matched with the impedance increment of the corresponding section to form a sectional impedance criterion; the phase stability index and the sectional impedance criterion are weighted according to a preset fusion weight to generate a comprehensive blockage index representing the blockage degree; the comprehensive blockage index is compared with a preset severity grading table to obtain the corresponding severity grade; the blockage index and the severity grade are jointly written into the current blockage evaluation result and output to the user end.

[0070] Further, the phase stability index and the sectional impedance criterion are weighted according to a preset fusion weight to generate a comprehensive blockage index representing the blockage degree, including: establishing a one-to-one correspondence between the phase stability index and the sectional impedance criterion to map the phase stability index to the corresponding section of the candidate blockage position; setting a preset fusion weight according to the working condition sensitivity analysis result, wherein the impedance criterion is used as a dominant parameter and the phase stability index is used as a confidence correction factor; performing weighted average operation on the impedance increment of each section and the phase stability index to obtain a sectional comprehensive blockage index; splicing the comprehensive blockage indexes of each section according to the pipeline arrangement sequence to form a complete along-pipeline blockage index distribution curve; extracting the maximum comprehensive blockage index in the distribution curve as the comprehensive blockage index.

[0071] In the embodiment of the present application, in the slurry conveying process, although a single impedance threshold value can reflect the trend of blockage, it may still be disturbed by rheological fluctuations or signal noise under complex working conditions. In order to further improve the reliability of the result, the coupling effect of different criteria needs to be considered comprehensively, and therefore a fusion determination method based on the candidate blockage position, the corrected impedance threshold value and the phase stability index is proposed. In this way, a comprehensive blockage index can be generated, and on this basis, a complete blockage evaluation result can be output, so as to ensure the sensitivity of the discrimination and enhance the robustness of the final result.

[0072] Specifically, two core inputs are needed first: one is the updated candidate blockage position after the elbow high-frequency phase difference check; the other is the corrected impedance threshold value obtained after the flow, temperature and viscosity correction link. On this basis, the previously calculated phase stability index is also synchronously called. The so-called phase stability index refers to the fluctuation degree of the pulsating phase difference value within a time window, which can reflect whether the signal is stable and reliable. For example, when the phase delay difference value of a certain measuring point section remains at a low jitter level for a long time, it means that the signal of this section is more reliable.

[0073] After obtaining these inputs, the candidate blockage position needs to be matched with the impedance increment of the corresponding section. In this way, a segmented impedance criterion can be constructed, that is, each candidate section not only has its position, but also corresponds to an impedance increment value representing the local blockage degree. Next, the phase stability index needs to be introduced into this criterion. The specific method is to establish a one-to-one correspondence between the phase stability index and the segmented impedance criterion, and map the phase stability index to the corresponding section of the candidate blockage position. In this way, each section has both "impedance increment" and "phase stability" information.

[0074] In order to fuse the two types of information into a comprehensive blockage index, a preset fusion weight needs to be set. The weight cannot be set arbitrarily, but needs to be determined based on the results of working condition sensitivity analysis. Generally, impedance increment is the main blockage criterion, so it is given a larger weight; the phase stability index is mainly used to correct the confidence, so it is given a secondary weight, which plays a role similar to adding or subtracting points. For example, the impedance increment can be set to 0.7 and the phase stability index to 0.3, so that the index will automatically reduce the confidence when the signal fluctuates greatly.

[0075] After the weight is determined, weighted average operation needs to be performed on the impedance increment and phase stability index of each section to obtain a segmented comprehensive blockage index. This index is equivalent to combining "blockage strength" and "criterion stability" together to obtain a more comprehensive characterization index. Then, the comprehensive blockage index of each section is spliced according to the pipeline arrangement order to form a complete along-path blockage index distribution curve. This curve can intuitively reflect the blockage risk distribution from the pump outlet to the end of the pipeline, such as the comprehensive index of which section is higher, indicating that the blockage risk of that section is greater.

[0076] After forming the distribution curve, the maximum comprehensive plugging index therein also needs to be extracted as a global plugging index. This global index is used to reflect the plugging degree of the whole pipeline, which is equivalent to a summary index and can be directly output as a monitoring result. At the same time, the comprehensive plugging index also needs to be compared with a preset severity grading table. The severity grading table is usually preset with several levels, such as "slight deposition", "moderate plugging", and "severe plugging", and the thresholds thereof can be determined through a large amount of experimental data statistics. When the comprehensive plugging index falls within a certain interval, the corresponding severity level is output.

[0077] Finally, the comprehensive plugging index and the severity level are written into the current plugging evaluation result together and output. In this way, the evaluation result not only contains a quantitative index (plugging index), but also contains a qualitative level judgment (severity), which is convenient for users to quickly understand the current risk level. For example, the output result can display "comprehensive plugging index = 0.78, severity level = moderate plugging", which is more valuable than simply "whether there is plugging".

[0078] Further, in specific implementation, in order to ensure the stability of the criterion, a dynamic adjustment mechanism can also be introduced in the setting of the fusion weight. For example, when the working condition is stable (small temperature fluctuation and stable solid content), the weight of the impedance criterion can be increased; and when the working condition is unstable (rapid temperature drop or sudden rise of solid content), the weight of the phase stability index can be appropriately increased to avoid misjudgment. This dynamic adjustment mechanism can be realized through online sensitivity analysis or sliding window statistics.

[0079] The scheme of the present application can not only quantitatively depict the plugging degree by weighting and fusing the candidate plugging position, the corrected impedance threshold and the phase stability index, but also enhance the reliability of the discrimination by combining the signal stability. The generated comprehensive plugging index can not only reflect the overall trend but also highlight the local high-risk position, and the output of the severity level makes the plugging evaluation result more intuitive and operable. This method effectively avoids the false positives or false negatives easily occurring in the traditional single criterion, and significantly improves the accuracy and practicality of the plugging monitoring of the wet metallurgical slurry conveying pipeline.

[0080] Figure 3 is a system structure diagram of a pipeline plugging monitoring system for wet metallurgical slurry conveying provided by an embodiment of the present application. As shown in Figure 3As shown, the embodiment of the present application provides a pipeline blockage monitoring system for hydrometallurgical slurry transportation, which comprises: a collection unit for collecting multi-point pressure signals along a slurry pipeline, extracting pressure fluctuation amplitude and phase characteristics in a pump fundamental frequency and multiple frequency range based on the multi-point pressure signals, and establishing an along-line fluctuation transmission sequence; a preliminary judgment unit for determining an equivalent along-line impedance based on a comparison between the along-line fluctuation transmission sequence and a reference working condition, and outputting a preliminary judgment result for representing a blockage risk; a correction unit for introducing flow temperature and viscosity estimation parameters to perform rheological correction on an impedance threshold value based on the preliminary judgment result, and extracting a high-frequency phase difference at a bend section to update a candidate blockage position; and an output unit for fusing a phase stability index based on the updated candidate blockage position and the corrected impedance threshold value, generating and outputting a current blockage evaluation result.

[0081] Those skilled in the art can understand that all or part of the steps of the method for implementing the above-mentioned embodiments can be completed by programs instructing related hardware, the programs are stored in a storage medium, and the programs include a plurality of instructions for causing a single-chip microcomputer, a chip or a processor to execute all or part of the steps of the method described in each embodiment of the present application. The foregoing storage medium includes a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various storage medium capable of storing program codes.

[0082] The above describes the optional embodiments of the present application in detail in combination with the drawings, but the embodiments of the present application are not limited to the specific details in the above-mentioned embodiments. Within the technical concept range of the embodiments of the present application, the technical solutions of the embodiments of the present application can be subjected to various simple modifications, and these simple modifications all belong to the protection range of the embodiments of the present application. In addition, it should be noted that each specific technical feature described in the above-mentioned specific embodiments can be combined in any appropriate manner without contradiction. In order to avoid unnecessary repetition, the embodiments of the present application will not further describe various possible combination manners.

[0083] In addition, various different embodiments of the present application can also be combined in any manner, as long as it does not deviate from the idea of the embodiments of the present application, and it should be considered as the disclosed content of the embodiments of the present application.

Claims

1. A method for monitoring pipe blockage for hydrometallurgical slurry transport, characterized by, The method comprises: Collecting multi-point pressure signals along the slurry pipeline, extracting pressure pulsation amplitude and phase characteristics in the pump fundamental frequency and multiple frequency range based on the multi-point pressure signals to establish a pulsation transmission sequence along the pipeline; Determine the equivalent impedance along the pipeline based on the comparison between the pulsation transmission sequence along the pipeline and the reference working condition, and output the preliminary judgment result for representing the risk of blockage; Based on the preliminary judgment result, introduce the flow temperature and viscosity estimation parameters to flow the impedance threshold value, and extract the high frequency phase difference at the elbow section to update the candidate blockage position; Based on the updated candidate blockage position and the modified impedance threshold value, the phase stability index is fused to generate and output the current blockage evaluation result.

2. The method for monitoring pipe blockage for hydrometallurgical slurry transport according to claim 1, characterized in that, Extracting pressure pulsation amplitude and phase characteristics in the pump fundamental frequency and multiple frequency range based on the multi-point pressure signals to establish a pulsation transmission sequence along the pipeline, comprising: Performing frequency domain transformation on the multi-point pressure signals to separate the pump fundamental frequency and multiple frequency components; Calculate the amplitude and phase angle of each measuring point respectively; Arrange the phase difference value and the amplitude attenuation value between adjacent measuring points according to the pipeline arrangement sequence to form the pulsation delay sequence and the attenuation sequence; Combine the pulsation delay sequence and the attenuation sequence to construct the pulsation transmission sequence along the pipeline.

3. A pipeline blockage monitoring method for hydrometallurgical slurry transport according to claim 2, characterized in that, Arranging the phase difference value and the amplitude attenuation value between adjacent measuring points according to the pipeline arrangement sequence to form the pulsation delay sequence and the attenuation sequence, comprising: Calculate the phase difference value in the target frequency band between each measuring point along the pipeline, and sequentially store to form an initial phase difference matrix; Calculate the amplitude attenuation ratio between the same measuring points, and store synchronously to form an amplitude attenuation matrix; According to the physical arrangement sequence of the pipeline, the phase difference matrix is arranged as a pulsation delay sequence; The amplitude attenuation matrix is arranged as an attenuation sequence.

4. The method for monitoring piping blockage for hydrometallurgical slurry transport according to claim 1, characterized in that, Determine the equivalent impedance along the pipeline based on the comparison between the pulsation transmission sequence along the pipeline and the reference working condition, and output the preliminary judgment result for representing the risk of blockage, comprising: Call the pulsation transmission sequence along the pipeline under the reference working condition, which corresponds to the phase delay and amplitude attenuation curve calibrated under the condition of no blockage; Compare the real-time established pulsation transmission sequence along the pipeline with the reference working condition sequence segment by segment, and calculate the phase delay difference and amplitude attenuation difference of each segment respectively; According to the preset weight function, the phase delay difference and the amplitude attenuation difference are fused to obtain the equivalent impedance increment of each segment; Compare the equivalent impedance increment with the preset impedance threshold value to determine whether there is a blockage trend in the target section, obtain the preliminary judgment result including the impedance increment size and the section exceeding the threshold value, and output the preliminary judgment result as the preliminary judgment result for representing the risk of blockage.

5. A pipeline blockage monitoring method for hydrometallurgical slurry transport according to claim 4, characterized in that, Based on the preliminary judgment result, introduce the flow temperature and viscosity estimation parameters to flow the impedance threshold value, comprising: Call the online flowmeter and temperature sensor at the same time as the preliminary judgment result is output to obtain the real-time flow value and real-time temperature value at the corresponding time; Input the real-time flow value and real-time temperature value into the preset viscosity estimation model to calculate the apparent viscosity parameter and yield stress parameter of the slurry; The apparent viscosity parameter and the yield stress parameter are substituted into a correction model of the impedance threshold value as correction factors to generate a corrected impedance threshold value; The corrected impedance threshold value is compared with the equivalent along-path impedance increment in the preliminary judgment result to eliminate misjudgments caused by solid content fluctuations or temperature drifts, and a rheological corrected judgment result is output.

6. The method for monitoring pipe blockage for hydrometallurgical slurry transport according to claim 5, characterized in that, The viscosity estimation model is constructed based on an empirical correlation of flow rate and temperature coupling, and the construction rule is: Under different solid content and temperature conditions, the measured viscosity data of the slurry are collected, and the corresponding flow rate, temperature and pressure loss information are recorded; Based on the measured viscosity data and the corresponding working condition parameters, a multivariate regression analysis method is used to extract the coupling relationship between the apparent viscosity and the flow rate and temperature; A yield stress correction term is introduced into the regression equation to compensate for the influence of nonlinear sudden increase of viscosity under high solid content conditions; The regression equation is corrected by least squares fitting and residual analysis to form an apparent viscosity prediction formula that can be used for online calculation; The apparent viscosity prediction formula is solidified into a viscosity estimation model.

7. The method for monitoring pipe blockage for hydrometallurgical slurry transport according to claim 5, characterized in that, The high-frequency phase difference is extracted at the elbow section to update the candidate blockage position, including: At least one pressure sensing point is arranged on the upstream and downstream of the elbow, and high-frequency pulsation signals above the pump fundamental frequency are synchronously collected; Spectrum decomposition is performed on the upstream and downstream pressure signals to screen out the phase components in the target high-frequency band; The phase delay difference between the upstream and downstream measuring points is calculated and compared with the phase delay difference of the adjacent straight pipe section; When the elbow phase delay difference is abnormal and the straight pipe section difference remains stable, it is determined that the candidate blockage position is located at the elbow section; The candidate blockage position of the elbow section is updated and written into the blockage judgment result.

8. A pipeline blockage monitoring method for hydrometallurgical slurry transport according to claim 7, characterized in that, Based on the updated candidate blockage position and the corrected impedance threshold value, a phase stability index is fused to generate and output a current blockage evaluation result, including: The candidate blockage position updated by the high-frequency phase difference of the elbow and the rheological corrected impedance threshold value are obtained, and the phase stability index is synchronously called; The candidate blockage position is matched with the impedance increment of the corresponding section to form a sectional impedance criterion; The phase stability index and the sectional impedance criterion are weighted according to a preset fusion weight to generate a comprehensive blockage index for representing the blockage degree; The comprehensive blockage index is compared with a preset severity grading table to obtain the corresponding severity grade; The blockage index and the severity grade are jointly written into the current blockage evaluation result and output to the user end.

9. A pipeline blockage monitoring method for hydrometallurgical slurry transport according to claim 8, characterized in that, The phase stability index and the sectional impedance criterion are weighted according to a preset fusion weight to generate a comprehensive blockage index for representing the blockage degree, including: A one-to-one correspondence is established between the phase stability index and the sectional impedance criterion to map the phase stability index to the corresponding section of the candidate blockage position; According to the working condition sensitivity analysis result, a preset fusion weight is set, in which the impedance criterion is the dominant parameter and the phase stability index is the confidence correction factor; The impedance increment of each section and the phase stability index are weighted and averaged to obtain a sectional comprehensive blockage index; The integrated jam index of each section is spliced in sequence of pipeline arrangement to form a complete distribution curve of the jam index along the pipeline; The maximum integrated jam index in the distribution curve is extracted as the integrated jam index.

10. A pipeline blockage monitoring system for hydrometallurgical slurry transport, characterized by The system comprises: A collection unit configured to collect multi-point pressure signals along the slurry pipeline, extract pressure fluctuation amplitude and phase characteristics within a pump fundamental frequency and multiple frequency range based on the multi-point pressure signals, and establish a fluctuation transmission sequence along the pipeline; A preliminary judgment unit configured to determine equivalent impedance along the pipeline based on comparison between the fluctuation transmission sequence along the pipeline and a reference working condition, and output a preliminary judgment result for representing jam risk; A correction unit configured to introduce flow temperature and viscosity estimation parameters to rheologically correct the impedance threshold value based on the preliminary judgment result, and extract high-frequency phase difference at a bend section to update a candidate jam location; An output unit configured to fuse a phase stability index based on the updated candidate jam location and the corrected impedance threshold value, generate and output a current jam evaluation result.

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