Slurry pump wear resistance improving method and system based on real-time monitoring and precise maintenance

Abstract

The invention relates to the technical field of slurry pump monitoring, in particular to a slurry pump abrasion resistance improving method and system based on real-time monitoring and precise maintenance, and the method comprises the steps that collected slurry pump inlet real-time pressure data and slurry pump outlet real-time pressure data are analyzed and processed, and slurry pump inlet and outlet real-time pressure analysis data are generated; the method comprises the following steps: establishing slurry pump part gap length analysis data, performing analysis processing on the slurry pump part gap length analysis data and the established slurry pump part gap length analysis data to generate standard slurry pump part gap length data, collecting slurry pump part gap real-time length data, performing numerical value matching on the standard slurry pump part gap length data and the slurry pump part gap real-time length data, and determining the slurry pump part gap length. And the real-time abrasion state of the slurry pump is judged according to the numerical value matching result, if the real-time abrasion state of the slurry pump is an abnormal abrasion state, slurry pump component gap length adjustment data are constructed, slurry pump component gap length adjustment operation is executed, and intelligent adjustment of the slurry pump component gap length and good improvement of the abrasion resistance of the slurry pump are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of slurry pump monitoring, and in particular to a method and system for improving the wear resistance of a slurry pump based on real-time monitoring and precise maintenance. Background Art

[0002] Slurry pumps are widely used to transport media containing solid particles in many industrial fields, such as mining, metallurgy, coal, and electric power. During its operation, a return flow phenomenon will occur due to low inlet pressure and high outlet pressure, which will cause serious wear on the internal components of the slurry pump.

[0003] The Chinese invention patent with publication number CN103605329B introduces a method for monitoring the cumulative low-cycle fatigue life loss of components of thermal power generator sets. The method reads the online measurement point data of the thermal power generator sets for analysis, calculates the cumulative low-cycle fatigue life loss of important components of each thermal power generator set, and takes corresponding measures based on the calculation results to reduce the life loss of important components of the thermal power generator sets. The method realizes the online calculation and control of the cumulative low-cycle fatigue life loss of important components of one or more thermal power generator sets in a thermal power plant. The data processing process is too long to guarantee the timeliness of the feedback results, and it is difficult to achieve precise control of important components of thermal power generator sets. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In order to solve the shortcomings of the background technology, the present invention provides a method and system for improving the wear resistance of a slurry pump based on real-time monitoring and precise maintenance. The method and system determine the real-time wear status of the slurry pump by real-time monitoring of the inlet and outlet pressures of the slurry pump. When the slurry pump is in an abnormal wear state, the gap between the front guard plate and the impeller of the slurry pump is intelligently adjusted to achieve a good improvement in the wear resistance of the slurry pump.

[0006] (II) Technical solution

[0007] A method for improving the wear resistance of a slurry pump based on real-time monitoring and precise maintenance, comprising the following steps:

[0008] S1. Collect the real-time pressure data of the slurry pump inlet and outlet;

[0009] S2, analyzing and processing the real-time pressure data of the slurry pump inlet and outlet according to the real-time pressure data of the slurry pump inlet and the real-time pressure data of the slurry pump outlet, and generating real-time pressure analysis data of the slurry pump inlet and outlet;

[0010] S3. Establishing the gap length analysis data of slurry pump components;

[0011] S4, performing slurry pump component gap length analysis processing according to the slurry pump inlet and outlet real-time pressure analysis data and the slurry pump component gap length analysis data to generate standard slurry pump component gap length data;

[0012] S5. Collect real-time length data of gaps between slurry pump components;

[0013] S6, performing numerical matching of the standard slurry pump component gap length data and the real-time slurry pump component gap length data, and determining the real-time wear state of the slurry pump according to the numerical matching result;

[0014] S7. If the real-time wear state of the slurry pump is an abnormal wear state, construct slurry pump component gap length adjustment data based on the standard slurry pump component gap length data and the slurry pump inlet and outlet real-time pressure analysis data, and perform a slurry pump component gap length adjustment operation.

[0015] The present invention performs real-time pressure data analysis on the inlet and outlet of a slurry pump to generate real-time pressure analysis data on the inlet and outlet of the slurry pump, performs slurry pump component gap length analysis on the collected real-time pressure data, and generates standard slurry pump component gap length data. The real-time length data of the gap of the slurry pump component is then collected, and numerical matching is performed on the standard slurry pump component gap length data and the real-time length data of the gap of the slurry pump component. The real-time wear state of the slurry pump is determined according to the numerical matching result. If the real-time wear state of the slurry pump is an abnormal wear state, the gap length adjustment data of the slurry pump component is constructed, and the gap length adjustment operation of the slurry pump component is performed, so as to realize intelligent adjustment of the gap length of the slurry pump component and good improvement of the wear resistance of the slurry pump.

[0016] Preferably, the specific steps of collecting the real-time pressure data of the slurry pump inlet and the real-time pressure data of the slurry pump outlet are as follows:

[0017] S11, setting a pressure data collection cycle, evenly dividing the pressure data collection cycle into a number of pressure data collection time points, generating a pressure data collection time point set A = {a1, a2, ..., a i ,…,a k}, where a i represents the i-th pressure data collection time point, k represents the total number of pressure data collection time points;

[0018] S12, using a pressure sensor to collect real-time pressure data at the inlet and outlet of the slurry pump at each pressure data collection time point in the pressure data collection time point set, and obtaining a real-time pressure data set B of the slurry pump inlet = {b1, b2, ..., bi ,…,b k} and real-time pressure data set of slurry pump outlet Among them, b i It represents the real-time pressure data of the slurry pump inlet obtained by real-time collection of the pressure data of the slurry pump inlet position by the pressure sensor at the i-th pressure data collection time point, It represents the real-time pressure data of the slurry pump outlet obtained by real-time collection of the pressure data of the slurry pump outlet position at the i-th pressure data collection time point through the pressure sensor.

[0019] Preferably, the specific steps of analyzing and processing the real-time pressure data of the slurry pump inlet and outlet according to the real-time pressure data of the slurry pump inlet and outlet to generate the real-time pressure analysis data of the slurry pump inlet and outlet are as follows:

[0020] S21, using a difference formula to perform numerical difference measurement processing on the slurry pump inlet real-time pressure data in the slurry pump inlet real-time pressure data set and the slurry pump outlet real-time pressure data set in the slurry pump outlet real-time pressure data set, to generate a slurry pump inlet and outlet real-time pressure difference data set C = {c1, c2, ..., c i ,…,c k}, where c i represents the real-time pressure difference data of the inlet and outlet of the i-th slurry pump, and

[0021] S22, using the Z-score method to perform abnormal data cleaning on the real-time pressure difference data of the inlet and outlet of the slurry pump in the real-time pressure difference data set of the inlet and outlet of the slurry pump, and generate a real data set of the real-time pressure difference data of the inlet and outlet of the slurry pump C'={c'1,c'2,…,c' i ,…,c' p}, where c' i represents the real data of the real-time pressure difference between the inlet and outlet of the i-th slurry pump, and p represents the total number of real data of the real-time pressure difference between the inlet and outlet of the slurry pump; the abnormal data cleaning process is as follows:

[0022] S221, select the i-th slurry pump inlet and outlet real-time pressure difference data in the slurry pump inlet and outlet real-time pressure difference data set to perform abnormal data cleaning processing, if Then determine c i is the abnormal data of the real-time pressure difference between the inlet and outlet of the slurry pump. i Remove; otherwise, determine c i is the real data of the real-time pressure difference between the inlet and outlet of the slurry pump, and c i reserve;

[0023] S222, repeating the operation in S221 until all the real-time pressure difference data of the inlet and outlet of the slurry pump in the real-time pressure difference data set of the inlet and outlet of the slurry pump are traversed, and then the abnormal data cleaning processing operation is terminated;

[0024] S23, performing average numerical measurement processing on the real data of the real-time pressure difference between the inlet and outlet of the slurry pump in the real data set of the real-time pressure difference between the inlet and outlet of the slurry pump by using the mean formula, and generating the mean data of the real-time pressure difference between the inlet and outlet of the slurry pump

[0025] S24, setting the weight coefficient to α, based on the mean data of the real-time pressure difference between the inlet and outlet of the slurry pump The real-time pressure analysis data of the slurry pump inlet and outlet are calculated using the weight coefficient α

[0026] The difference formula is used to perform numerical difference measurement processing on the real-time pressure data at the inlet and outlet of the slurry pump. Then, the Z-score method and the mean formula are used to perform abnormal data cleaning and average numerical measurement processing on the obtained real-time pressure difference data at the inlet and outlet of the slurry pump, ensuring that the acquired data can accurately reflect the real-time situation of the slurry pump, and accurately eliminate abnormal data in the collected data, effectively reducing the impact of abnormal data.

[0027] Preferably, the specific steps of establishing the gap length analysis data of the slurry pump components are as follows:

[0028] S31. Establishing a data set for analyzing the gap length of slurry pump components

[0029] ,in, Indicates the analysis interval of the inlet and outlet pressure of the i-th slurry pump The corresponding gap length data of the slurry pump components is e i , and They respectively represent the minimum and maximum values ​​of the inlet and outlet pressure analysis of the i-th slurry pump, l represents the total number of inlet and outlet pressure analysis intervals of the slurry pump, and the slurry pump component gap length data represents the gap length data between the front guard plate and the impeller of the slurry pump.

[0030] Preferably, the specific steps of performing slurry pump component gap length analysis processing based on the slurry pump inlet and outlet real-time pressure analysis data and the slurry pump component gap length analysis data to generate standard slurry pump component gap length data are as follows:

[0031] S41, using the sandcat optimization algorithm to analyze the real-time pressure data of the inlet and outlet of the slurry pump in turn Perform slurry pump component gap length analysis processing with each slurry pump component gap length analysis data in the slurry pump component gap length analysis data set, and search out the slurry pump inlet and outlet real-time pressure analysis data The corresponding slurry pump component gap length data is marked and the standard slurry pump component gap length data E is generated. biaozhun ;

[0032] S411. Construct a sand cat population, set the sand cat population size to N, and the maximum sensitivity value to S max , the current number of iterations is t, the maximum number of iterations is t max , the dimension of the search space for gap length data of slurry pump components is P;

[0033] In the slurry pump component gap length data search space, N slurry pump component gap length data are randomly generated, each slurry pump component gap length data corresponds to a sand cat individual in the sand cat population, and the initial position set of the sand cat population is initialized as X = {X1, X2, ..., X i ,…,X N}, where X i represents the initial position of the i-th sand cat individual in the sand cat population;

[0034] S412, calculating the fitness function value of each sand cat individual in the sand cat population, arranging each sand cat individual in the sand cat population from small to large according to the fitness function value, and selecting the sand cat individual with the highest fitness function value as the current optimal individual; the fitness function formula is as follows:

[0035]

[0036] Among them, Fit i represents the fitness function value of the i-th sand cat individual in the sand cat population, x i It represents the matching degree between the slurry pump inlet and outlet pressure analysis interval corresponding to the slurry pump component gap length data corresponding to the i-th sand cat individual in the sand cat population and the real-time pressure analysis data of the slurry pump inlet and outlet, and φ is the correction value;

[0037] S413. The sand cat individuals in the sand cat population will reduce their sensitivity perception range as the number of iterations increases. The sensitivity perception range of the sand cat individuals in the current iteration process is calculated; the calculation formula is as follows:

[0038]

[0039] in, represents the sensitivity perception range of the individual sand cat during the t-th iteration;

[0040] According to the sensitivity perception range of the sand cat individuals in the current iteration process, a time control function is constructed to control the behavior of each sand cat individual in the sand cat population in the slurry pump component gap length data search space; the sand cat search stage control function formula is as follows:

[0041]

[0042] Among them, R t represents the time control function value of the sand cat population in the tth iteration process, and rand1 represents a random number that obeys a uniform distribution between (0,1);

[0043] S4131, when | R t When |>1, each sand cat individual in the sand cat population updates its position in the slurry pump component gap length data search space according to the position of the current optimal individual and the sensitivity perception range; the position update formula is as follows:

[0044]

[0045] in, and They represent the position of the i-th sand cat individual in the sand cat population in the t+1th iteration and the tth iteration, respectively. rand2 and rand3 both represent random numbers uniformly distributed between (0,1). best Indicates the position of the current optimal individual;

[0046] S4132, when | R t |≤1, each sand cat individual in the sand cat population selects a random angle in the slurry pump component gap length data search space, and updates the position according to the random angle and sensitivity perception range; the position update formula is as follows:

[0047]

[0048] Among them, rand4 represents a random number that obeys a uniform distribution between (0,1), cos(θ i ) represents the random angle θ selected by the i-th sand cat individual in the sand cat population i The cosine of ;

[0049] S414, calculating the fitness function value of each sand cat individual in the sand cat population after the position is updated, arranging each sand cat individual in the sand cat population from small to large according to the fitness function value, and selecting the sand cat individual with the highest fitness function value as the current optimal individual;

[0050] S415: Determine whether the current number of iterations t is less than the maximum number of iterations t max , if the current number of iterations t is less than the maximum number of iterations tmax , then the current iteration number t is increased by 1, and the process returns to S413; otherwise, the current optimal individual is taken as the global optimal solution, the gap length data of the slurry pump components corresponding to the global optimal solution is output and the data is marked to generate the standard gap length data E of the slurry pump components. biaozhun .

[0051] The sand cat optimization algorithm is used to analyze and process the gap length of slurry pump components, which improves the speed and efficiency of the analysis process, and scientifically analyzes the optimal component gap length data under the current operating conditions, providing a scientific basis for the maintenance and adjustment of the slurry pump. At the same time, the sand cat optimization algorithm has good robustness, which can ensure the stability of the analysis process and avoid the analysis results being affected by different data.

[0052] Preferably, the specific steps of collecting real-time length data of the gap between slurry pump components are as follows:

[0053] S51, collect the gap length data between the front guard plate and the impeller of the slurry pump in real time through the laser displacement sensor, and generate the real-time length data E of the gap between the slurry pump components shishi .

[0054] Preferably, the specific steps of numerically matching the standard slurry pump component gap length data and the real-time slurry pump component gap length data, and determining the real-time wear state of the slurry pump according to the numerical matching result are as follows:

[0055] S61, the gap length data E of the standard slurry pump components biaozhun Real-time length data of the gap between the slurry pump components shishi Carry out numerical matching of gap lengths of slurry pump components;

[0056] When E biaozhun =E shishi When the slurry pump is in the normal wear state, the real-time wear state of the slurry pump is determined to be normal wear state, and no operation is performed;

[0057] When E biaozhun ≠E shishi When the wear state of the slurry pump is abnormal, the real-time wear state of the slurry pump is determined to be abnormal.

[0058] The real-time wear status of the slurry pump is determined based on the numerical matching results of the standard slurry pump component gap length data and the real-time length data of the slurry pump component gap. The real-time wear status of the slurry pump is scientifically and accurately identified, and corresponding measures are taken according to the real-time wear status of the slurry pump, thereby effectively improving the wear resistance of the slurry pump.

[0059] Preferably, if the real-time wear state of the slurry pump is an abnormal wear state, the specific steps of constructing the slurry pump component gap length adjustment data based on the standard slurry pump component gap length data and the slurry pump inlet and outlet real-time pressure analysis data, and performing the slurry pump component gap length adjustment operation are as follows:

[0060] S71, if the real-time wear state of the slurry pump is abnormal wear state, the standard slurry pump component gap length data E biaozhun And the real-time pressure analysis data of the slurry pump inlet and outlet Combine data to construct gap length adjustment data for slurry pump components

[0061] S72, adjusting the gap length of the slurry pump components through the Internet of Things communication network The device is pushed to the slurry pump component gap length adjustment platform, and the slurry pump component gap length adjustment operation is performed. The real-time length data of the slurry pump component gap is adjusted to the standard slurry pump component gap length data through the mechanical adjustment device.

[0062] The present invention also discloses a slurry pump wear resistance improvement system based on real-time monitoring and precise maintenance, including a slurry pump inlet and outlet real-time pressure data acquisition module, a slurry pump inlet and outlet real-time pressure data processing module, a standard slurry pump component gap length data generation module, a slurry pump component gap real-time length data acquisition module, a slurry pump component gap length numerical matching module and a slurry pump component gap length adjustment data construction module;

[0063] The real-time pressure data acquisition module for the inlet and outlet of the slurry pump performs real-time pressure data acquisition on the inlet position and the outlet position of the slurry pump at each pressure data acquisition time point set by the pressure sensor, and obtains the real-time pressure data of the inlet of the slurry pump and the real-time pressure data of the outlet of the slurry pump respectively;

[0064] The slurry pump inlet and outlet real-time pressure data processing module performs analysis and processing on the slurry pump inlet and outlet real-time pressure data according to the slurry pump inlet real-time pressure data and the slurry pump outlet real-time pressure data to generate slurry pump inlet and outlet real-time pressure analysis data;

[0065] The standard slurry pump component gap length data generation module performs slurry pump component gap length analysis processing on the slurry pump inlet and outlet real-time pressure analysis data and the established slurry pump component gap length analysis data in turn through the sand cat optimization algorithm, searches out the slurry pump component gap length data corresponding to the slurry pump inlet and outlet real-time pressure analysis data, and performs data identification to generate standard slurry pump component gap length data;

[0066] The real-time length data acquisition module for the gap between the slurry pump components acquires the gap length data between the front guard plate and the impeller of the slurry pump in real time through a laser displacement sensor to generate the real-time length data of the gap between the slurry pump components;

[0067] The slurry pump component gap length numerical matching module performs slurry pump component gap length numerical matching on the standard slurry pump component gap length data and the slurry pump component gap real-time length data, and determines the real-time wear state of the slurry pump according to the numerical matching result;

[0068] When the real-time wear state of the slurry pump is an abnormal wear state, the slurry pump component gap length adjustment data construction module combines the standard slurry pump component gap length data and the real-time pressure analysis data of the slurry pump inlet and outlet to construct the slurry pump component gap length adjustment data, and pushes it to the slurry pump component gap length adjustment platform through the Internet of Things communication network, and simultaneously executes the slurry pump component gap length adjustment operation.

[0069] (III) Beneficial effects

[0070] 1. The present invention performs real-time pressure data analysis on the inlet and outlet of a slurry pump to generate real-time pressure analysis data on the inlet and outlet of the slurry pump, and performs analysis on the gap length of slurry pump components with the established gap length analysis data to generate standard gap length data on slurry pump components, and then collects the real-time gap length data on slurry pump components, performs numerical matching on the standard gap length data on slurry pump components and the real-time gap length data on slurry pump components, and determines the real-time wear state of the slurry pump according to the numerical matching result. If the real-time wear state of the slurry pump is an abnormal wear state, then constructs gap length adjustment data on the slurry pump components, and performs a gap length adjustment operation on the slurry pump components, thereby realizing intelligent adjustment of the gap length of slurry pump components and a good improvement in the wear resistance of the slurry pump.

[0071] 2. The difference formula is used to perform numerical difference measurement processing on the real-time pressure data of the slurry pump inlet and outlet, and then the Z-score method and mean formula are used to perform abnormal data cleaning and average numerical measurement processing on the obtained real-time pressure difference data of the slurry pump inlet and outlet, to ensure that the acquired data can accurately reflect the real-time situation of the slurry pump, and accurately eliminate the abnormal data in the collected data, effectively reducing the impact of the abnormal data;

[0072] 3. The sand cat optimization algorithm is used to analyze and process the gap length of slurry pump components, which improves the speed and efficiency of the analysis process, and scientifically analyzes the optimal component gap length data under the current operating conditions, providing a scientific basis for the maintenance and adjustment of the slurry pump. At the same time, the sand cat optimization algorithm has good robustness, which can ensure the stability of the analysis process and avoid the analysis results being affected by different data;

[0073] 4. The real-time wear status of the slurry pump is determined based on the numerical matching results of the standard slurry pump component gap length data and the real-time length data of the slurry pump component gap. The real-time wear status of the slurry pump is scientifically and accurately identified, and corresponding measures are taken according to the real-time wear status of the slurry pump, which effectively improves the wear resistance of the slurry pump. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] In order to more clearly illustrate the technical solutions of the embodiments of the invention, the drawings required for describing the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the invention. For ordinary technicians in this field, they can also obtain drawings based on these drawings without paying creative work.

[0075] Figure 1 A flow chart of a method for improving the wear resistance of a slurry pump based on real-time monitoring and precise maintenance provided by the present invention;

[0076] Figure 2 A module schematic diagram of a slurry pump wear resistance improvement system based on real-time monitoring and precise maintenance provided by the present invention. DETAILED DESCRIPTION

[0077] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0078] In the description of the present invention, it is necessary to understand that the terms "opening", "upper", "lower", "top", "middle", "inside" and the like indicating orientation or positional relationship are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the components or elements referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore cannot be understood as limiting the invention.

[0079] Embodiment 1 is as follows:

[0080] See also Figure 1 , a method for improving the wear resistance of a slurry pump based on real-time monitoring and precise maintenance, comprising the following steps:

[0081] S1. Collect the real-time pressure data of the slurry pump inlet and outlet;

[0082] S11, setting a pressure data collection cycle, evenly dividing the pressure data collection cycle into a number of pressure data collection time points, generating a pressure data collection time point set A = {a1, a2, ..., a i ,…,a k}, where a i represents the i-th pressure data collection time point, k represents the total number of pressure data collection time points;

[0083] S12, using a pressure sensor to collect real-time pressure data at the inlet and outlet of the slurry pump at each pressure data collection time point in the pressure data collection time point set, and obtaining a real-time pressure data set B of the slurry pump inlet = {b1, b2, ..., b i ,…,b k} and real-time pressure data set of slurry pump outlet Among them, b i It represents the real-time pressure data of the slurry pump inlet obtained by real-time collection of the pressure data of the slurry pump inlet position by the pressure sensor at the i-th pressure data collection time point, It represents the real-time pressure data of the slurry pump outlet obtained by real-time collection of the pressure data of the slurry pump outlet position at the i-th pressure data collection time point through the pressure sensor.

[0084] S2, analyzing and processing the real-time pressure data of the slurry pump inlet and outlet according to the real-time pressure data of the slurry pump inlet and the real-time pressure data of the slurry pump outlet, and generating real-time pressure analysis data of the slurry pump inlet and outlet;

[0085] S21, using a difference formula to perform numerical difference measurement processing on the slurry pump inlet real-time pressure data in the slurry pump inlet real-time pressure data set and the slurry pump outlet real-time pressure data set in the slurry pump outlet real-time pressure data set, to generate a slurry pump inlet and outlet real-time pressure difference data set C = {c1, c2, ..., c i ,…,c k}, where c i represents the real-time pressure difference data of the inlet and outlet of the i-th slurry pump, and

[0086] S22, using the Z-score method to perform abnormal data cleaning on the real-time pressure difference data of the inlet and outlet of the slurry pump in the real-time pressure difference data set of the inlet and outlet of the slurry pump, and generate a real data set of the real-time pressure difference data of the inlet and outlet of the slurry pump C'={c'1,c'2,…,c' i ,…,c'p}, where c' i represents the real data of the real-time pressure difference between the inlet and outlet of the i-th slurry pump, and p represents the total number of real data of the real-time pressure difference between the inlet and outlet of the slurry pump; the abnormal data cleaning process is as follows:

[0087] S221, select the i-th slurry pump inlet and outlet real-time pressure difference data in the slurry pump inlet and outlet real-time pressure difference data set to perform abnormal data cleaning processing, if Then determine c i is the abnormal data of the real-time pressure difference between the inlet and outlet of the slurry pump. i Remove; otherwise, determine c i is the real data of the real-time pressure difference between the inlet and outlet of the slurry pump, and c i reserve;

[0088] S222, repeating the operation in S221 until all the real-time pressure difference data of the inlet and outlet of the slurry pump in the real-time pressure difference data set of the inlet and outlet of the slurry pump are traversed, and then the abnormal data cleaning processing operation is terminated;

[0089] S23, performing average numerical measurement processing on the real data of the real-time pressure difference between the inlet and outlet of the slurry pump in the real data set of the real-time pressure difference between the inlet and outlet of the slurry pump by using the mean formula, and generating the mean data of the real-time pressure difference between the inlet and outlet of the slurry pump

[0090] S24, setting the weight coefficient to α, based on the mean data of the real-time pressure difference between the inlet and outlet of the slurry pump The real-time pressure analysis data of the slurry pump inlet and outlet are calculated using the weight coefficient α

[0091] S3. Establishing the gap length analysis data of slurry pump components;

[0092] S31. Establishing a data set for analyzing the gap length of slurry pump components

[0093] ,in, Indicates the analysis interval of the inlet and outlet pressure of the i-th slurry pump The corresponding gap length data of the slurry pump components is e i , and They respectively represent the minimum and maximum values ​​of the inlet and outlet pressure analysis of the i-th slurry pump, l represents the total number of inlet and outlet pressure analysis intervals of the slurry pump, and the slurry pump component gap length data represents the gap length data between the front guard plate and the impeller of the slurry pump.

[0094] S4, performing slurry pump component gap length analysis processing according to the slurry pump inlet and outlet real-time pressure analysis data and the slurry pump component gap length analysis data to generate standard slurry pump component gap length data;

[0095] S41, using the sandcat optimization algorithm to analyze the real-time pressure data of the inlet and outlet of the slurry pump in turn Perform slurry pump component gap length analysis processing with each slurry pump component gap length analysis data in the slurry pump component gap length analysis data set, and search out the slurry pump inlet and outlet real-time pressure analysis data The corresponding slurry pump component gap length data is marked and the standard slurry pump component gap length data E is generated. biaozhun ;

[0096] S411. Construct a sand cat population, set the sand cat population size to N, and the maximum sensitivity value to S max , the current number of iterations is t, the maximum number of iterations is t max , the dimension of the search space for gap length data of slurry pump components is P;

[0097] In the slurry pump component gap length data search space, N slurry pump component gap length data are randomly generated, each slurry pump component gap length data corresponds to a sand cat individual in the sand cat population, and the initial position set of the sand cat population is initialized as X = {X1, X2, ..., X i ,…,X N}, where X i represents the initial position of the i-th sand cat individual in the sand cat population;

[0098] S412, calculating the fitness function value of each sand cat individual in the sand cat population, arranging each sand cat individual in the sand cat population from small to large according to the fitness function value, and selecting the sand cat individual with the highest fitness function value as the current optimal individual; the fitness function formula is as follows:

[0099]

[0100] Among them, Fit i represents the fitness function value of the i-th sand cat individual in the sand cat population, x i It represents the matching degree between the slurry pump inlet and outlet pressure analysis interval corresponding to the slurry pump component gap length data corresponding to the i-th sand cat individual in the sand cat population and the real-time pressure analysis data of the slurry pump inlet and outlet, and φ is the correction value;

[0101] S413. The sensitivity perception range of the sand cat individuals in the sand cat population will decrease as the number of iterations increases. The sensitivity perception range of the sand cat individuals in the current iteration process is calculated; the calculation formula is as follows:

[0102]

[0103] in, represents the sensitivity perception range of the individual sand cat during the t-th iteration;

[0104] According to the sensitivity perception range of the sand cat individuals in the current iteration process, a time control function is constructed to control the behavior of each sand cat individual in the sand cat population in the slurry pump component gap length data search space; the sand cat search stage control function formula is as follows:

[0105]

[0106] Among them, R t represents the time control function value of the sand cat population in the tth iteration process, and rand1 represents a random number that obeys a uniform distribution between (0,1);

[0107] S4131, when | R t When |>1, each sand cat individual in the sand cat population updates its position in the slurry pump component gap length data search space according to the position of the current optimal individual and the sensitivity perception range; the position update formula is as follows:

[0108]

[0109] in, and They represent the position of the i-th sand cat individual in the sand cat population in the t+1th iteration and the tth iteration, respectively. rand2 and rand3 both represent random numbers uniformly distributed between (0,1). best Indicates the position of the current optimal individual;

[0110] S4132, when | R t |≤1, each sand cat individual in the sand cat population selects a random angle in the slurry pump component gap length data search space, and updates the position according to the random angle and sensitivity perception range; the position update formula is as follows:

[0111]

[0112] Among them, rand4 represents a random number that obeys a uniform distribution between (0,1), cos(θ i ) represents the random angle θ selected by the i-th sand cat individual in the sand cat population i The cosine of ;

[0113] S414, calculating the fitness function value of each sand cat individual in the sand cat population after the position is updated, arranging each sand cat individual in the sand cat population from small to large according to the fitness function value, and selecting the sand cat individual with the highest fitness function value as the current optimal individual;

[0114] S415: Determine whether the current number of iterations t is less than the maximum number of iterations t max , if the current number of iterations t is less than the maximum number of iterations t max , then the current iteration number t is increased by 1, and the process returns to S413; otherwise, the current optimal individual is taken as the global optimal solution, the gap length data of the slurry pump components corresponding to the global optimal solution is output and the data is marked to generate the standard gap length data E of the slurry pump components. biaozhun .

[0115] S5. Collect real-time length data of gaps between slurry pump components;

[0116] S51, collect the gap length data between the front guard plate and the impeller of the slurry pump in real time through the laser displacement sensor, and generate the real-time length data E of the gap between the slurry pump components shishi .

[0117] S6, performing numerical matching of the standard slurry pump component gap length data and the real-time slurry pump component gap length data, and determining the real-time wear state of the slurry pump according to the numerical matching result;

[0118] S61, the gap length data E of the standard slurry pump components biaozhun Real-time length data of the gap between the slurry pump components shishi Carry out numerical matching of gap lengths of slurry pump components;

[0119] When E biaozhun =E shishi When the slurry pump is in the normal wear state, the real-time wear state of the slurry pump is determined to be normal wear state, and no operation is performed;

[0120] When E biaozhun ≠E shishi When the wear state of the slurry pump is abnormal, the real-time wear state of the slurry pump is determined to be abnormal.

[0121] S7, if the real-time wear state of the slurry pump is an abnormal wear state, constructing slurry pump component gap length adjustment data based on the standard slurry pump component gap length data and the slurry pump inlet and outlet real-time pressure analysis data, and performing a slurry pump component gap length adjustment operation;

[0122] S71, if the real-time wear state of the slurry pump is abnormal wear state, the standard slurry pump component gap length data E biaozhun And the real-time pressure analysis data of the slurry pump inlet and outlet Combine data to construct gap length adjustment data for slurry pump components

[0123] S72, adjusting the gap length of the slurry pump components through the Internet of Things communication network The device is pushed to the slurry pump component gap length adjustment platform, and the slurry pump component gap length adjustment operation is performed. The real-time length data of the slurry pump component gap is adjusted to the standard slurry pump component gap length data through the mechanical adjustment device.

[0124] Embodiment 2 is as follows:

[0125] See also Figure 2 , a slurry pump wear resistance improvement system based on real-time monitoring and precise maintenance, including a slurry pump inlet and outlet real-time pressure data acquisition module, a slurry pump inlet and outlet real-time pressure data processing module, a standard slurry pump component gap length data generation module, a slurry pump component gap real-time length data acquisition module, a slurry pump component gap length numerical matching module and a slurry pump component gap length adjustment data construction module;

[0126] The real-time pressure data acquisition module for the inlet and outlet of the slurry pump performs real-time pressure data acquisition on the inlet position and the outlet position of the slurry pump at each pressure data acquisition time point set by the pressure sensor, and obtains the real-time pressure data of the inlet of the slurry pump and the real-time pressure data of the outlet of the slurry pump respectively;

[0127] The slurry pump inlet and outlet real-time pressure data processing module performs analysis and processing on the slurry pump inlet and outlet real-time pressure data according to the slurry pump inlet real-time pressure data and the slurry pump outlet real-time pressure data to generate slurry pump inlet and outlet real-time pressure analysis data;

[0128] The standard slurry pump component gap length data generation module performs slurry pump component gap length analysis processing on the slurry pump inlet and outlet real-time pressure analysis data and the established slurry pump component gap length analysis data in turn through the sand cat optimization algorithm, searches out the slurry pump component gap length data corresponding to the slurry pump inlet and outlet real-time pressure analysis data, and performs data identification to generate standard slurry pump component gap length data;

[0129] The real-time length data acquisition module for the gap between the slurry pump components acquires the gap length data between the front guard plate and the impeller of the slurry pump in real time through a laser displacement sensor to generate the real-time length data of the gap between the slurry pump components;

[0130] The slurry pump component gap length numerical matching module performs slurry pump component gap length numerical matching on the standard slurry pump component gap length data and the slurry pump component gap real-time length data, and determines the real-time wear state of the slurry pump according to the numerical matching result;

[0131] When the real-time wear state of the slurry pump is an abnormal wear state, the slurry pump component gap length adjustment data construction module combines the standard slurry pump component gap length data and the real-time pressure analysis data of the slurry pump inlet and outlet to construct the slurry pump component gap length adjustment data, and pushes it to the slurry pump component gap length adjustment platform through the Internet of Things communication network, and simultaneously executes the slurry pump component gap length adjustment operation.

[0132] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0133] The preferred embodiments of the invention disclosed above are only used to help explain the invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the invention, so that those skilled in the art can understand and use the invention well.

Claims

1. A method for improving the wear resistance of a slurry pump based on real-time monitoring and precise maintenance, characterized in that: The steps include: S1. Collect the real-time pressure data of the slurry pump inlet and outlet; S2, analyzing and processing the real-time pressure data of the slurry pump inlet and outlet according to the real-time pressure data of the slurry pump inlet and the real-time pressure data of the slurry pump outlet, and generating real-time pressure analysis data of the slurry pump inlet and outlet; S3. Establishing the gap length analysis data of slurry pump components; S4, performing slurry pump component gap length analysis processing according to the slurry pump inlet and outlet real-time pressure analysis data and the slurry pump component gap length analysis data to generate standard slurry pump component gap length data; S5. Collect real-time length data of gaps between slurry pump components; S6, performing numerical matching of the standard slurry pump component gap length data and the real-time slurry pump component gap length data, and determining the real-time wear state of the slurry pump according to the numerical matching result; S7. If the real-time wear state of the slurry pump is an abnormal wear state, construct slurry pump component gap length adjustment data based on the standard slurry pump component gap length data and the slurry pump inlet and outlet real-time pressure analysis data, and perform a slurry pump component gap length adjustment operation.

2. A method for improving the wear resistance of a slurry pump based on real-time monitoring and precise maintenance according to claim 1, characterized in that: The S1 comprises the following steps: S11, setting a pressure data collection cycle, evenly dividing the pressure data collection cycle into a number of pressure data collection time points, generating a pressure data collection time point set A = {a1, a2, ..., a i ,…,a k }, where a i represents the i-th pressure data collection time point, k represents the total number of pressure data collection time points; S12, using a pressure sensor to collect real-time pressure data at the inlet and outlet of the slurry pump at each pressure data collection time point in the pressure data collection time point set, and obtaining a real-time pressure data set B of the slurry pump inlet = {b1, b2, ..., b i ,…,b k } and real-time pressure data set of slurry pump outlet Among them, b i It represents the real-time pressure data of the slurry pump inlet obtained by real-time collection of the pressure data of the slurry pump inlet position by the pressure sensor at the i-th pressure data collection time point, It represents the real-time pressure data of the slurry pump outlet obtained by real-time collection of the pressure data of the slurry pump outlet position at the i-th pressure data collection time point through the pressure sensor.

3. A method for improving the wear resistance of a slurry pump based on real-time monitoring and precise maintenance according to claim 2, characterized in that: The S2 comprises the following steps: S21, using a difference formula to perform numerical difference measurement processing on the slurry pump inlet real-time pressure data in the slurry pump inlet real-time pressure data set and the slurry pump outlet real-time pressure data set in the slurry pump outlet real-time pressure data set, to generate a slurry pump inlet and outlet real-time pressure difference data set C = {c1, c2, ..., c i ,…,c k }, where c i represents the real-time pressure difference data of the inlet and outlet of the i-th slurry pump, and S22, using the Z-score method to perform abnormal data cleaning on the real-time pressure difference data of the inlet and outlet of the slurry pump in the real-time pressure difference data set of the inlet and outlet of the slurry pump, and generate a real data set of the real-time pressure difference data of the inlet and outlet of the slurry pump C'={c'1,c'2,…,c' i ,…,c' p }, where c' i represents the real data of the real-time pressure difference between the inlet and outlet of the i-th slurry pump, and p represents the total number of real data of the real-time pressure difference between the inlet and outlet of the slurry pump; S23, performing average numerical measurement processing on the real data of the real-time pressure difference between the inlet and outlet of the slurry pump in the real data set of the real-time pressure difference between the inlet and outlet of the slurry pump by using the mean formula, and generating the mean data of the real-time pressure difference between the inlet and outlet of the slurry pump S24, setting the weight coefficient to α, based on the mean data of the real-time pressure difference between the inlet and outlet of the slurry pump The real-time pressure analysis data of the slurry pump inlet and outlet are calculated using the weight coefficient α 4. A method for improving the wear resistance of a slurry pump based on real-time monitoring and precise maintenance according to claim 3, characterized in that: The S22 comprises the following steps: S221, select the i-th slurry pump inlet and outlet real-time pressure difference data in the slurry pump inlet and outlet real-time pressure difference data set to perform abnormal data cleaning processing, if Then determine c i is the abnormal data of the real-time pressure difference between the inlet and outlet of the slurry pump. i Remove; otherwise, determine c i is the real data of the real-time pressure difference between the inlet and outlet of the slurry pump, and c i reserve; S222, repeating the operation in S221 until all the real-time pressure difference data of the inlet and outlet of the slurry pump in the real-time pressure difference data set of the inlet and outlet of the slurry pump are traversed, and then the abnormal data cleaning processing operation is terminated.

5. A method for improving the wear resistance of a slurry pump based on real-time monitoring and precise maintenance according to claim 4, characterized in that: The S3 comprises the following steps: S31. Establishing a data set for analyzing the gap length of slurry pump components ,in, Indicates the analysis interval of the inlet and outlet pressure of the i-th slurry pump The corresponding gap length data of the slurry pump components is e i , and They respectively represent the minimum and maximum values ​​of the inlet and outlet pressure analysis of the i-th slurry pump, l represents the total number of inlet and outlet pressure analysis intervals of the slurry pump, and the slurry pump component gap length data represents the gap length data between the front guard plate and the impeller of the slurry pump.

6. A method for improving the wear resistance of a slurry pump based on real-time monitoring and precise maintenance according to claim 5, characterized in that: The S4 comprises the following steps: S41, using the sandcat optimization algorithm to analyze the real-time pressure data of the inlet and outlet of the slurry pump in turn Perform slurry pump component gap length analysis processing with each slurry pump component gap length analysis data in the slurry pump component gap length analysis data set, and search out the slurry pump inlet and outlet real-time pressure analysis data The corresponding slurry pump component gap length data is marked and the standard slurry pump component gap length data E is generated. biaozhun ; S411. Construct a sand cat population, set the sand cat population size to N, and the maximum sensitivity value to S max , the current number of iterations is t, the maximum number of iterations is t max , the dimension of the search space for gap length data of slurry pump components is P; In the slurry pump component gap length data search space, N slurry pump component gap length data are randomly generated, each slurry pump component gap length data corresponds to a sand cat individual in the sand cat population, and the initial position set of the sand cat population is initialized as X = {X1, X2, ..., X i ,…,X N }, where X i represents the initial position of the i-th sand cat individual in the sand cat population; S412, calculating the fitness function value of each sand cat individual in the sand cat population, arranging each sand cat individual in the sand cat population from small to large according to the fitness function value, and selecting the sand cat individual with the highest fitness function value as the current optimal individual; S413. The sand cat individuals in the sand cat population will reduce their sensitivity perception range as the number of iterations increases, and the sensitivity perception range of the sand cat individuals in the current iteration process is calculated; According to the sensitivity perception range of the sand cat individuals in the current iteration process, the time control function R is constructed. t Controlling the behavior of each sand cat individual in the sand cat population in the search space of the gap length data of the slurry pump components; S4131, when | R t When |>1, each sand cat individual in the sand cat population updates its position in the slurry pump component gap length data search space according to the position of the current optimal individual and the sensitivity perception range; S4132, when | R t |≤1, each sand cat individual in the sand cat population selects a random angle in the slurry pump component gap length data search space, and updates the position according to the random angle and sensitivity perception range; S414, calculating the fitness function value of each sand cat individual in the sand cat population after the position is updated, arranging each sand cat individual in the sand cat population from small to large according to the fitness function value, and selecting the sand cat individual with the highest fitness function value as the current optimal individual; S415: Determine whether the current number of iterations t is less than the maximum number of iterations t max , if the current number of iterations t is less than the maximum number of iterations t max , then the current iteration number t is increased by 1, and the process returns to S413; otherwise, the current optimal individual is taken as the global optimal solution, the gap length data of the slurry pump components corresponding to the global optimal solution is output and the data is marked to generate the standard gap length data E of the slurry pump components. biaozhun .

7. A method for improving the wear resistance of a slurry pump based on real-time monitoring and precise maintenance according to claim 6, characterized in that: The S5 comprises the following steps: S51, collect the gap length data between the front guard plate and the impeller of the slurry pump in real time through the laser displacement sensor, and generate the real-time length data E of the gap between the slurry pump components shishi .

8. A method for improving the wear resistance of a slurry pump based on real-time monitoring and precise maintenance according to claim 7, characterized in that: The S6 comprises the following steps: S61, the gap length data E of the standard slurry pump components biaozhun Real-time length data of the gap between the slurry pump components shishi Carry out numerical matching of gap lengths between slurry pump components; When E biaozhun =E shishi When the slurry pump is in the normal wear state, the real-time wear state of the slurry pump is determined to be normal wear state, and no operation is performed; When E biaozhun ≠E shishi When the wear state of the slurry pump is abnormal, the real-time wear state of the slurry pump is determined to be abnormal.

9. A method for improving the wear resistance of a slurry pump based on real-time monitoring and precise maintenance according to claim 8, characterized in that: The S7 comprises the following steps: S71, if the real-time wear state of the slurry pump is abnormal wear state, the standard slurry pump component gap length data E biaozhun And the real-time pressure analysis data of the slurry pump inlet and outlet Combine data to construct gap length adjustment data for slurry pump components S72, adjusting the gap length of the slurry pump components through the Internet of Things communication network The device is pushed to the slurry pump component gap length adjustment platform, and the slurry pump component gap length adjustment operation is performed. The real-time length data of the slurry pump component gap is adjusted to the standard slurry pump component gap length data through the mechanical adjustment device.

10. A system for implementing the method for improving the wear resistance of a slurry pump based on real-time monitoring and precise maintenance as described in any one of claims 1 to 9.

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