CN117536891A - Parameter optimization method and system for magnetic suspension type magnetic drive centrifugal pump - Google Patents
Parameter optimization method and system for magnetic suspension type magnetic drive centrifugal pump Download PDFInfo
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- 238000005457 optimization Methods 0.000 title claims abstract description 81
- 239000000725 suspension Substances 0.000 title claims abstract description 67
- 238000000034 method Methods 0.000 title claims abstract description 37
- 239000007788 liquid Substances 0.000 claims abstract description 70
- 238000012544 monitoring process Methods 0.000 claims abstract description 43
- 238000013507 mapping Methods 0.000 claims abstract description 41
- 230000011218 segmentation Effects 0.000 claims abstract description 23
- 230000001360 synchronised effect Effects 0.000 claims abstract description 23
- 238000004458 analytical method Methods 0.000 claims abstract description 12
- 238000012795 verification Methods 0.000 claims description 22
- 238000012216 screening Methods 0.000 claims description 14
- 239000012530 fluid Substances 0.000 claims description 11
- 238000004364 calculation method Methods 0.000 claims description 7
- 230000009467 reduction Effects 0.000 claims description 4
- 230000000694 effects Effects 0.000 description 4
- 238000005339 levitation Methods 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 238000012937 correction Methods 0.000 description 2
- 238000005299 abrasion Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000009351 contact transmission Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002068 genetic effect Effects 0.000 description 1
- 238000009499 grossing Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
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- 230000004048 modification Effects 0.000 description 1
- 238000013486 operation strategy Methods 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
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- 238000002922 simulated annealing Methods 0.000 description 1
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D15/00—Control, e.g. regulation, of pumps, pumping installations or systems
- F04D15/0088—Testing machines
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D15/00—Control, e.g. regulation, of pumps, pumping installations or systems
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D29/00—Details, component parts, or accessories
- F04D29/007—Details, component parts, or accessories especially adapted for liquid pumps
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Abstract
The invention discloses a parameter optimization method and a system of a magnetic suspension type magnetic drive centrifugal pump, which relate to the technical field of centrifugal pump optimization, and the method comprises the following steps: acquiring liquid basic information of a target liquid to be controlled; performing initial control parameter optimization of the magnetic suspension type magnetic drive centrifugal pump; establishing mapping calibration operation parameters; the sensor group comprises a flow sensor and a synchronous sensor arranged on the driving part and the driven part; completing time node segmentation of starting dynamic state and steady state, and calling monitoring data of a sensor group; performing running state analysis of the magnetic suspension type magnetic drive centrifugal pump to generate optimized parameters; the operation management of the magnetic suspension type magnetic drive centrifugal pump is carried out, the problem that the centrifugal pump parameter optimization accuracy is insufficient due to the fact that the magnetic suspension type magnetic drive centrifugal pump in the prior art cannot monitor and optimize the centrifugal pump in different states is solved, and the stability and efficiency of the centrifugal pump are effectively improved.
Description
Technical Field
The invention relates to the technical field of centrifugal pump optimization, in particular to a parameter optimization method and system of a magnetic suspension type magnetic drive centrifugal pump.
Background
In the magnetic suspension type magnetic drive centrifugal pump, the non-contact transmission is realized through the magnetic suspension technology, the friction and abrasion problems of the traditional mechanical bearing are avoided, and the running stability and efficiency of the centrifugal pump are improved. However, in practical applications, optimization of parameters of a centrifugal pump is still an important technical challenge, and particularly in the face of actual condition changes, measurement errors and uncertainty factors, precise optimization and adjustment of parameters of the centrifugal pump are required.
The magnetic suspension type magnetic force driving centrifugal pump in the prior art has insufficient precision in optimizing parameters of the centrifugal pump because the centrifugal pump in different states cannot be monitored and optimized during operation, so that the stability and efficiency of the magnetic suspension type magnetic force driving centrifugal pump cannot be improved finally.
Disclosure of Invention
The application provides a parameter optimization method and system for a magnetic suspension type magnetic drive centrifugal pump, which solve the problem that the magnetic suspension type magnetic drive centrifugal pump in the prior art cannot monitor and optimize the centrifugal pump in different states to cause insufficient parameter optimization accuracy of the centrifugal pump, and effectively improve the stability and efficiency of the magnetic suspension type magnetic drive centrifugal pump.
In view of the above, the present application provides a parameter optimization method for a magnetic levitation type magnetically driven centrifugal pump.
In a first aspect, the present application provides a method for optimizing parameters of a magnetically levitated magnetically driven centrifugal pump, the method comprising: acquiring liquid basic information of target liquid to be controlled, wherein the liquid basic information comprises liquid component information and liquid temperature information, and setting starting torque and steady-state torque through the liquid basic information and working demand information; performing initial control parameter optimization of the magnetic suspension type magnetic drive centrifugal pump based on the starting torque and the steady-state torque; establishing a mapping calibration operation parameter of an initial control parameter optimizing result; a sensor group is configured on the magnetic suspension type magnetic force driving centrifugal pump, and the sensor group comprises a flow sensor and a synchronous sensor arranged on a driving part and a driven part; based on the mapping calibration operation parameters, completing time node segmentation of the starting state and the steady state, and calling monitoring data of a sensor group according to a time node segmentation result; performing operation state analysis of the magnetic suspension type magnetic drive centrifugal pump based on the monitoring data and the mapping calibration operation parameters and the work demand information to generate optimization parameters; and performing operation management of the magnetic suspension type magnetic drive centrifugal pump through the optimized parameters.
In a second aspect, the present application provides a parameter optimization system for a magnetically levitated magnetically driven centrifugal pump, the system comprising: liquid base information module: acquiring liquid basic information of target liquid to be controlled, wherein the liquid basic information comprises liquid component information and liquid temperature information, and setting starting torque and steady-state torque through the liquid basic information and working demand information; and a control parameter optimizing module: performing initial control parameter optimization of the magnetic suspension type magnetic drive centrifugal pump based on the starting torque and the steady-state torque; and (3) calibrating an operation parameter module: establishing a mapping calibration operation parameter of an initial control parameter optimizing result; the sensor group configuration module: a sensor group is configured on the magnetic suspension type magnetic force driving centrifugal pump, and the sensor group comprises a flow sensor and a synchronous sensor arranged on a driving part and a driven part; monitoring data calling module: based on the mapping calibration operation parameters, completing time node segmentation of the starting state and the steady state, and calling monitoring data of a sensor group according to a time node segmentation result; and (3) generating an optimization parameter module: performing operation state analysis of the magnetic suspension type magnetic drive centrifugal pump based on the monitoring data and the mapping calibration operation parameters and the work demand information to generate optimization parameters; the operation management carries out the module: and performing operation management of the magnetic suspension type magnetic drive centrifugal pump through the optimized parameters.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the parameter optimization method and system for the magnetic suspension type magnetic drive centrifugal pump, liquid basic information of target liquid to be controlled is obtained, starting torque and steady state torque are set according to the liquid basic information and working demand information, initial control parameter optimization of the magnetic suspension type magnetic drive centrifugal pump is carried out, mapping calibration operation parameters of an initial control parameter optimization result are established, then a sensor group is configured on the magnetic suspension type magnetic drive centrifugal pump, the sensor group comprises a flow sensor and synchronous sensors arranged on a driving part and a driven part, time node segmentation of starting state and steady state is completed based on the mapping calibration operation parameters, monitoring data of the sensor group are called through the time node segmentation result, finally operation state analysis of the magnetic suspension type magnetic drive centrifugal pump is carried out based on the monitoring data and the mapping calibration operation parameters and working demand information, optimization parameters are generated, operation management of the magnetic suspension type magnetic drive centrifugal pump is carried out, the problem that in the prior art, the magnetic suspension type magnetic drive centrifugal pump cannot be monitored and optimized under different states, the centrifugal pump parameter optimization accuracy is insufficient is solved, and magnetic suspension type magnetic drive centrifugal pump stability and magnetic drive efficiency are effectively improved.
Drawings
FIG. 1 is a schematic flow chart of a parameter optimization method of a magnetic levitation type magnetically driven centrifugal pump;
fig. 2 is a schematic structural diagram of a parameter optimization system of a magnetic levitation type magnetically driven centrifugal pump.
Reference numerals illustrate: the system comprises a liquid foundation information module 11, a control parameter optimizing module 12, a calibration operation parameter module 13, a sensor group configuration module 14, a monitoring data calling module 15, an optimizing parameter module generating 16 and an operation management proceeding module 17.
Detailed Description
According to the parameter optimization method and system for the magnetic suspension type magnetic drive centrifugal pump, liquid basic information of target liquid to be controlled is obtained, starting torque and steady-state torque are set according to the liquid basic information and working demand information, initial control parameter optimization of the magnetic suspension type magnetic drive centrifugal pump is carried out, mapping calibration operation parameters of an initial control parameter optimization result are established, a sensor group is configured on the magnetic suspension type magnetic drive centrifugal pump, the sensor group comprises a flow sensor and a synchronous sensor arranged on a driving part and a driven part, time node segmentation of starting state and steady state is completed based on the mapping calibration operation parameters, monitoring data of the sensor group is called according to the time node segmentation result, finally operation state analysis of the magnetic suspension type magnetic drive centrifugal pump is carried out based on the monitoring data, the mapping calibration operation parameters and working demand information, and operation management of the magnetic suspension type magnetic drive centrifugal pump is carried out. The problem that the centrifugal pump parameter optimization accuracy is insufficient due to the fact that the centrifugal pump in different states cannot be monitored and optimized in the magnetic suspension type magnetic drive centrifugal pump work in the prior art is solved, and the stability and efficiency of the magnetic suspension type magnetic drive centrifugal pump are effectively improved.
Example 1
As shown in fig. 1, the present application provides a parameter optimization method and system for a magnetic suspension type magnetically driven centrifugal pump, where the method includes:
acquiring liquid basic information of target liquid to be controlled, wherein the liquid basic information comprises liquid component information and liquid temperature information, and setting starting torque and steady-state torque through the liquid basic information and working demand information;
establishing a mapping database of fluid viscosity and torque through big data;
taking the work demand information as a screening label, executing data screening in a mapping database, and establishing an initial screening data set;
synchronizing the liquid component information and the liquid temperature information to a viscosity fitting channel to generate a viscosity fitting result;
matching the initial screening data set through the viscosity fitting result, and establishing a torque solution space;
and setting starting torque and steady-state torque based on the torque solution space.
The liquid basic information is basic information of the target liquid, including a liquid component and a liquid temperature. The working demand information is index information which is needed to reach the working content through the target liquid, and the liquid viscosity is mainly analyzed through the liquid basic information and the working demand information. And collecting a large amount of fluid viscosity and torque data through the large data, screening the collected large amount of fluid viscosity and torque data, and then carrying out statistics and analysis on the screened data to establish a mapping database. The database records the relationship between different fluid viscosities and torques. Liquid composition information and liquid temperature information are input to the viscosity fitting channel. The viscosity fitting channel utilizes the input information to carry out algorithm calculation and model fitting, and a viscosity fitting result is generated. And matching the viscosity fitting result with the initial screening data set, and establishing a corresponding relation in space according to the matching result to obtain a torque solution space. From the data matching the viscosity fit results, the torque range and law of change at different fluid viscosities can be determined. And setting starting torque and steady-state torque of the magnetic suspension type magnetic drive centrifugal pump according to the established torque solution space. The set values of the starting torque and the steady-state torque can be selected and adjusted according to the mapping relation between the fluid viscosity and the torque and the working demand information so as to meet specific working demands. By constructing the mapping database and setting the starting torque and the steady-state torque according to the database, the centrifugal pump can be ensured to have proper torque control under different fluid conditions, so that efficient operation and management are realized.
Performing initial control parameter optimization of the magnetic suspension type magnetic drive centrifugal pump based on the starting torque and the steady-state torque;
firstly, setting initial control parameters, and setting the initial control parameters of the magnetic suspension type magnetic drive centrifugal pump according to the values of the starting torque and the steady-state torque. The appropriate control parameter value may be selected as the initial value according to the requirements of the starting torque and the steady-state torque. And selecting a proper optimizing algorithm to perform parameter optimization. The optimizing algorithm comprises a genetic algorithm, a particle swarm optimization algorithm, a simulated annealing algorithm and the like. And selecting the most suitable algorithm for parameter tuning according to specific conditions. An objective function is further established for evaluating the performance of the different combinations of control parameters. The objective function may be defined according to specific application requirements, such as minimizing energy consumption, maximizing efficiency, etc. And searching the optimal control parameter combination in the defined control parameter range by using the selected optimizing algorithm. The algorithm will continuously adjust the control parameters according to the requirements of the objective function until the optimal solution is found. According to the result of the optimizing algorithm, the performance of different parameter combinations is evaluated, the parameter combination with the best performance is selected as the final initial control parameter, the optimizing is carried out according to the initial control parameter, the initial control parameter optimizing result is obtained, and a data base is provided for mapping calibration operation parameters of the initial control parameter optimizing result to be established later.
Establishing a mapping calibration operation parameter of an initial control parameter optimizing result;
a sensor group is configured on the magnetic suspension type magnetic force driving centrifugal pump, and the sensor group comprises a flow sensor and a synchronous sensor arranged on a driving part and a driven part;
based on the mapping calibration operation parameters, completing time node segmentation of the starting state and the steady state, and calling monitoring data of a sensor group according to a time node segmentation result;
and mapping the optimal parameter combination to specific operation parameters according to the optimizing result of the initial control parameters. The operating parameters include current, voltage, frequency, rotational speed, etc. The initial control parameters and the actual operation parameters are mapped and calibrated, so that the centrifugal pump can be ensured to be adjusted according to the optimal parameters during operation. The sensor group is further configured, and the flow sensor and the synchronous sensor are configured in the magnetic suspension type magnetic drive centrifugal pump. Wherein the flow sensor is used for monitoring the flow condition of the fluid, and the synchronous sensor is used for monitoring the synchronous state between the driving component and the driven component. And then completing the time node segmentation of the starting state and the steady state, and determining the time nodes of the starting state and the steady state based on the operation parameters calibrated by the mapping. Where start-up refers generally to the phase of the centrifugal pump during start-up and steady state refers to the phase when operation is stable. According to different application requirements, a proper time node can be selected for segmentation. And then the monitoring data of the sensor group is called, and the monitoring data of the sensor group is called in a corresponding time period according to the time node segmentation result. Wherein the flow sensor may provide monitoring data of the fluid flow and the synchronization sensor may provide synchronization status data between the driving member and the driven member. The starting state and the steady state are divided into different time nodes, and the running condition of the centrifugal pump is monitored by utilizing the monitoring data provided by the sensor group, so that the working state of the centrifugal pump can be timely adjusted and optimized, and the efficient and stable running is realized.
Performing operation state analysis of the magnetic suspension type magnetic drive centrifugal pump based on the monitoring data and the mapping calibration operation parameters and the work demand information to generate optimization parameters;
and performing operation management of the magnetic suspension type magnetic drive centrifugal pump through the optimized parameters.
And acquiring real-time running state information of the centrifugal pump by using the monitoring data provided by the sensor group and the running parameters calibrated by mapping. And analyzing the running state, namely analyzing the running state of the centrifugal pump according to the monitoring data, the mapped and calibrated running parameters and the working demand information. According to the information of the working requirements, such as the required flow, the required pressure and the like, the actual monitoring data are combined to judge whether the current running state meets the requirements or not, and according to the analysis result of the running state, the optimization parameters are generated. Optimizing parameters includes adjusting control parameters, modifying operating modes, adjusting operating strategies, and the like. Through the adjustment of the optimized parameters, the centrifugal pump can better meet the working requirements in actual operation, and the efficiency and the stability are improved. And performing operation management of the magnetic suspension type magnetic drive centrifugal pump according to the generated optimization parameters. Specifically, according to the optimized parameters, the control parameters of the centrifugal pump are adjusted, the working mode is changed, the operation strategy is optimized, and the like, so that a better operation effect is realized, and the centrifugal pump is ensured to be adjusted according to the optimal parameters in actual operation, so that the efficient, stable and operation state meeting the working requirements is realized.
Further, the method further comprises:
three clustering centers are randomly distributed in the torque solution space, and when the judgment result of the clustering centers is judgment generation, the initial distribution of the clustering centers is completed;
performing cluster search based on the cluster centers, and executing gradient update of the cluster center positions after each round of cluster search is completed;
performing search iteration of cluster search, completing clustering, and constructing constraint proportion based on the cluster size of the clustering result;
and (5) carrying out cluster center weighted calculation of a cluster result through constraint proportion, and completing setting of starting torque and steady-state torque.
Three cluster centers are randomly generated in the torque solution space and used for cluster searching. If the judgment result of the cluster center is judgment generation, the initial distribution of the cluster center is completed. And performing cluster search based on the cluster centers, namely performing cluster search according to the randomly generated cluster centers, and performing gradient update of the cluster center positions after each round of cluster search is completed, wherein the gradient update means that the new cluster centers replace the old cluster centers, so that proper cluster center positions and cluster sizes can be gradually found through an iterative search method. And (3) performing search iteration of cluster search to finish clustering: through multiple clustering search iterations, stable clustering results can be obtained. The clustering results can construct constraint proportions according to the cluster sizes so as to constrain the weight proportions among different clusters, namely the larger the cluster size is, the larger the cluster weight is. And finally, carrying out weighted calculation on the clustering result through the constraint proportion, and carrying out weighted calculation on different clusters based on the constraint proportion to obtain the weighted proportion of different clusters, thereby determining the set values of the starting torque and the steady-state torque. The weight proportion of different clusters is determined through a cluster searching and weighting calculation method, so that the set values of the starting torque and the steady-state torque are obtained more efficiently.
Further, the method further comprises:
invoking a steady-state node, and acquiring flow monitoring data of a flow sensor based on the steady-state node;
performing flow authentication through the flow monitoring data and the work demand information to generate a steady-state flow error;
and carrying out the optimization parameter compensation through the steady-state flow error, and executing the operation management of the magnetic suspension type magnetic drive centrifugal pump according to the compensated optimization parameter.
The steady state node refers to the stage when the centrifugal pump is running steady. Based on the previous time node segmentation, a steady-state node is selected, and flow monitoring data of the flow sensor at the node is acquired. And further comparing and authenticating the acquired flow monitoring data with the work demand information, wherein the work demand information comprises the required actual flow value or flow range. And comparing the monitoring data with the working demand information, judging whether the actual flow meets the requirements, generating a steady-state flow error according to the judging result, and if the actual flow is not completely matched with the working demand, calculating the steady-state flow error, wherein the steady-state flow error represents the difference between the actual flow and the working demand and can be used for evaluating the flow control precision of the centrifugal pump. And further performing optimization parameter compensation, and adjusting the optimization parameters generated before according to the steady-state flow error. The purpose of the optimization parameter compensation is to enable the actual flow to be closer to the working demand and reduce the steady-state flow error by adjusting the optimization parameter. The compensation includes fine tuning of control parameters, adjustment of operating strategies, etc. And executing the operation management of the magnetic suspension type magnetic force driven centrifugal pump according to the compensated optimized parameters, namely, applying the compensated optimized parameters to a control system of the centrifugal pump to realize the control and stabilization of the flow. By continuously monitoring the flow and adjusting the optimization parameters, the centrifugal pump can better meet the working requirements in actual operation.
Further, the method further comprises:
reconstructing a steady-state node based on the compensated optimized parameter, and performing data acquisition by using a synchronous sensor based on the reconstructed steady-state node;
consistency verification is carried out through the acquisition result of the synchronous sensor, and a consistency verification result is generated;
and performing magnetic field current step optimization according to the consistency verification result, and correcting the compensated optimization parameters according to the magnetic field current step optimization result.
Based on the compensated optimization parameters, the steady-state nodes are redetermined, and the steady-state nodes can be more accurately determined by reconstructing the compensated optimization parameters. And based on the reconstructed steady-state nodes, acquiring data of the synchronous sensor, and acquiring an acquisition result of the synchronous sensor. The synchronous sensor may collect data about the centrifugal pump at steady state nodes, such as vibrations, temperatures, etc. And carrying out consistency verification according to the acquisition result of the synchronous sensor. The consistency check is to judge the consistency degree of the data acquired by different sensors by comparing the data acquired by different sensors. If there is a large difference between the sensor data, further adjustments and corrections are needed. And generating a consistency check result according to the comparison result of the consistency check. The consistency check result may reflect the degree of difference between the sensor data and whether the consistency requirement is met, and may determine whether further optimization and correction is required. And (5) optimizing the magnetic field current ladder according to the consistency check result. The magnetic field current step refers to determining magnetic field control parameters under different current levels according to the working requirements and stability requirements of the centrifugal pump. By optimizing the field current step, the operational stability and effectiveness of the centrifugal pump can be improved. And finally, correcting the optimized parameters after the previous compensation according to the result of the magnetic field current step optimization, so that the optimized parameters are adapted to the new magnetic field current step, and the running performance of the centrifugal pump is further improved.
Further, the method further comprises:
if the consistency check result is a consistency passing result, generating step verification of magnetic field current reduction;
recording first magnetic field current data corresponding to inconsistent nodes, and determining flow steady-state data through the flow sensor;
and performing the wide tolerance expansion of the first magnetic field current data according to the flow steady-state data, and completing magnetic field current ladder optimization based on a first wide tolerance expansion result.
If the consistency check result is a consistency failing result, generating step verification that the magnetic field current is increased;
and recording second magnetic field current data corresponding to the consistent node, performing forgiving expansion of the second magnetic field current data according to the flow steady-state data, and completing magnetic field current ladder optimization based on a second forgiving expansion result.
And generating step verification of magnetic field current reduction according to the consistency verification result. Recording first magnetic field current data corresponding to inconsistent nodes, wherein the first magnetic field current data corresponding to the inconsistent nodes is asynchronous magnetic force nodes. Flow steady state data is determined, i.e., by a flow sensor. Flow steady state data refers to flow data of the centrifugal pump at a steady state node. And performing tolerance expansion of the first magnetic field current data, wherein the tolerance expansion refers to that the original data is adjusted or modified to a certain extent in the data analysis and processing process so as to consider the influence of measurement errors, uncertainties or other factors possibly existing. Based on the flow steady-state data, the first magnetic field current data can be subjected to tolerance expansion in the modes of tolerance setting, difference value or smoothing, shrinkage or standardization, weighting or adjustment and the like, and the existing measurement errors and uncertainties can be considered in the tolerance expansion, so that the accuracy and reliability of an optimization result are improved. And according to the first wide tolerance expansion result, the magnetic field current step is optimized, and the running stability and effect of the centrifugal pump can be improved through the optimized magnetic field current step.
If the consistency check result is that the consistency is not passed, step verification of the rise of the magnetic field current is required. First, generating a step verification of the rise of the magnetic field current, and generating the step verification of the rise of the magnetic field current according to a consistency verification result. And recording second magnetic field current data corresponding to the consistency check nodes according to the consistency check result. Flow steady state data is determined by a flow sensor. And the second magnetic field current data is subjected to tolerance expansion according to the flow steady-state data, and can be subjected to tolerance expansion in a tolerance setting mode, a difference value mode, a smooth mode, a shrinking mode, a standardized mode, a weighted mode or an adjusting mode. And optimizing the magnetic field current step according to the second forgiving expansion result. The operation stability and effect of the centrifugal pump can be improved through the magnetic field current step after the second wide tolerance expansion result is optimized.
Example two
Based on the same inventive concept as the parameter optimization method of a magnetically levitated magnetically driven centrifugal pump in the foregoing embodiments, as shown in fig. 2, the present application provides a parameter optimization system of a magnetically levitated magnetically driven centrifugal pump, the system comprising:
liquid basic information module 11: the liquid basic information module 11 is used for acquiring liquid basic information of a target liquid to be controlled, wherein the liquid basic information comprises liquid component information and liquid temperature information, and starting torque and steady-state torque are set through the liquid basic information and working demand information;
control parameter optimizing module 12: the control parameter optimizing module 12 is used for optimizing initial control parameters of the magnetic suspension type magnetic drive centrifugal pump based on the starting torque and the steady-state torque;
the calibration operation parameter module 13: the calibration operation parameter module 13 is used for establishing a mapping calibration operation parameter of an initial control parameter optimizing result;
the sensor group configuration module 14: the sensor group configuration module 14 is used for configuring a sensor group of the magnetic suspension type magnetic drive centrifugal pump, wherein the sensor group comprises a flow sensor and a synchronous sensor arranged on a driving part and a driven part;
monitoring data calling module 15: the monitoring data calling module 15 is used for completing time node segmentation of the starting state and the steady state based on mapping calibration operation parameters and calling monitoring data of the sensor group according to a time node segmentation result;
the optimization parameter module generates 16: the optimized parameter module generation 16 is used for carrying out the running state analysis of the magnetic suspension type magnetic force driven centrifugal pump based on the monitoring data and the mapping calibration running parameters and the working demand information to generate optimized parameters;
operation management execution module 17: the operation management performing module 17 is used for performing operation management on the magnetic suspension type magnetic force driving centrifugal pump through the optimized parameters.
Further, the system further comprises:
acquiring liquid basic information of target liquid to be controlled, wherein the liquid basic information comprises liquid component information and liquid temperature information, and setting starting torque and steady-state torque through the liquid basic information and working demand information;
performing initial control parameter optimization of the magnetic suspension type magnetic drive centrifugal pump based on the starting torque and the steady-state torque;
establishing a mapping calibration operation parameter of an initial control parameter optimizing result;
a sensor group is configured on the magnetic suspension type magnetic force driving centrifugal pump, and the sensor group comprises a flow sensor and a synchronous sensor arranged on a driving part and a driven part;
based on the mapping calibration operation parameters, completing time node segmentation of the starting state and the steady state, and calling monitoring data of a sensor group according to a time node segmentation result;
performing operation state analysis of the magnetic suspension type magnetic drive centrifugal pump based on the monitoring data and the mapping calibration operation parameters and the work demand information to generate optimization parameters;
and performing operation management of the magnetic suspension type magnetic drive centrifugal pump through the optimized parameters.
Further, the system further comprises:
establishing a mapping database of fluid viscosity and torque through big data;
taking the work demand information as a screening label, executing data screening in a mapping database, and establishing an initial screening data set;
synchronizing the liquid component information and the liquid temperature information to a viscosity fitting channel to generate a viscosity fitting result;
matching the initial screening data set through the viscosity fitting result, and establishing a torque solution space;
and setting starting torque and steady-state torque based on the torque solution space.
Further, the system further comprises:
three clustering centers are randomly distributed in the torque solution space, and when the judgment result of the clustering centers is judgment generation, the initial distribution of the clustering centers is completed;
performing cluster search based on the cluster centers, and executing gradient update of the cluster center positions after each round of cluster search is completed;
performing search iteration of cluster search, completing clustering, and constructing constraint proportion based on the cluster size of the clustering result;
and (5) carrying out cluster center weighted calculation of a cluster result through constraint proportion, and completing setting of starting torque and steady-state torque.
Further, the system further comprises:
invoking a steady-state node, and acquiring flow monitoring data of a flow sensor based on the steady-state node;
performing flow authentication through the flow monitoring data and the work demand information to generate a steady-state flow error;
and carrying out the optimization parameter compensation through the steady-state flow error, and executing the operation management of the magnetic suspension type magnetic drive centrifugal pump according to the compensated optimization parameter.
Further, the system further comprises:
reconstructing a steady-state node based on the compensated optimized parameter, and performing data acquisition by using a synchronous sensor based on the reconstructed steady-state node;
consistency verification is carried out through the acquisition result of the synchronous sensor, and a consistency verification result is generated;
and performing magnetic field current step optimization according to the consistency verification result, and correcting the compensated optimization parameters according to the magnetic field current step optimization result.
Further, the system further comprises:
if the consistency check result is a consistency passing result, generating step verification of magnetic field current reduction;
recording first magnetic field current data corresponding to inconsistent nodes, and determining flow steady-state data through the flow sensor;
and performing the wide tolerance expansion of the first magnetic field current data according to the flow steady-state data, and completing magnetic field current ladder optimization based on a first wide tolerance expansion result.
Further, the system further comprises:
if the consistency check result is a consistency failing result, generating step verification that the magnetic field current is increased;
and recording second magnetic field current data corresponding to the consistent node, performing forgiving expansion of the second magnetic field current data according to the flow steady-state data, and completing magnetic field current ladder optimization based on a second forgiving expansion result.
The foregoing detailed description of a parameter optimization method for a magnetically levitated magnetically driven centrifugal pump will be clear to those skilled in the art, and the device disclosed in this embodiment is relatively simple in description, and the relevant points refer to the description of the method section because it corresponds to the method disclosed in the embodiment.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. The parameter optimization method of the magnetic suspension type magnetic drive centrifugal pump is characterized by comprising the following steps of:
acquiring liquid basic information of target liquid to be controlled, wherein the liquid basic information comprises liquid component information and liquid temperature information, and setting starting torque and steady-state torque through the liquid basic information and working demand information;
performing initial control parameter optimization of the magnetic suspension type magnetic drive centrifugal pump based on the starting torque and the steady-state torque;
establishing a mapping calibration operation parameter of an initial control parameter optimizing result;
a sensor group is configured on the magnetic suspension type magnetic force driving centrifugal pump, and the sensor group comprises a flow sensor and a synchronous sensor arranged on a driving part and a driven part;
based on the mapping calibration operation parameters, completing time node segmentation of the starting state and the steady state, and calling monitoring data of a sensor group according to a time node segmentation result;
performing operation state analysis of the magnetic suspension type magnetic drive centrifugal pump based on the monitoring data and the mapping calibration operation parameters and the work demand information to generate optimization parameters;
and performing operation management of the magnetic suspension type magnetic drive centrifugal pump through the optimized parameters.
2. The method of claim 1, wherein the method further comprises:
establishing a mapping database of fluid viscosity and torque through big data;
taking the work demand information as a screening label, executing data screening in a mapping database, and establishing an initial screening data set;
synchronizing the liquid component information and the liquid temperature information to a viscosity fitting channel to generate a viscosity fitting result;
matching the initial screening data set through the viscosity fitting result, and establishing a torque solution space;
and setting starting torque and steady-state torque based on the torque solution space.
3. The method of claim 2, wherein the method further comprises:
three clustering centers are randomly distributed in the torque solution space, and when the judgment result of the clustering centers is judgment generation, the initial distribution of the clustering centers is completed;
performing cluster search based on the cluster centers, and executing gradient update of the cluster center positions after each round of cluster search is completed;
performing search iteration of cluster search, completing clustering, and constructing constraint proportion based on the cluster size of the clustering result;
and (5) carrying out cluster center weighted calculation of a cluster result through constraint proportion, and completing setting of starting torque and steady-state torque.
4. The method of claim 1, wherein the method further comprises:
invoking a steady-state node, and acquiring flow monitoring data of a flow sensor based on the steady-state node;
performing flow authentication through the flow monitoring data and the work demand information to generate a steady-state flow error;
and carrying out the optimization parameter compensation through the steady-state flow error, and executing the operation management of the magnetic suspension type magnetic drive centrifugal pump according to the compensated optimization parameter.
5. The method of claim 4, wherein the method further comprises:
reconstructing a steady-state node based on the compensated optimized parameter, and performing data acquisition by using a synchronous sensor based on the reconstructed steady-state node;
consistency verification is carried out through the acquisition result of the synchronous sensor, and a consistency verification result is generated;
and performing magnetic field current step optimization according to the consistency verification result, and correcting the compensated optimization parameters according to the magnetic field current step optimization result.
6. The method of claim 5, wherein the method further comprises:
if the consistency check result is a consistency passing result, generating step verification of magnetic field current reduction;
recording first magnetic field current data corresponding to inconsistent nodes, and determining flow steady-state data through the flow sensor;
and performing the wide tolerance expansion of the first magnetic field current data according to the flow steady-state data, and completing magnetic field current ladder optimization based on a first wide tolerance expansion result.
7. The method of claim 6, wherein the method further comprises:
if the consistency check result is a consistency failing result, generating step verification that the magnetic field current is increased;
and recording second magnetic field current data corresponding to the consistent node, performing forgiving expansion of the second magnetic field current data according to the flow steady-state data, and completing magnetic field current ladder optimization based on a second forgiving expansion result.
8. A parameter optimization system for a magnetically levitated magnetically driven centrifugal pump, the system comprising:
liquid base information module: acquiring liquid basic information of target liquid to be controlled, wherein the liquid basic information comprises liquid component information and liquid temperature information, and setting starting torque and steady-state torque through the liquid basic information and working demand information;
and a control parameter optimizing module: performing initial control parameter optimization of the magnetic suspension type magnetic drive centrifugal pump based on the starting torque and the steady-state torque;
and (3) calibrating an operation parameter module: establishing a mapping calibration operation parameter of an initial control parameter optimizing result;
the sensor group configuration module: a sensor group is configured on the magnetic suspension type magnetic force driving centrifugal pump, and the sensor group comprises a flow sensor and a synchronous sensor arranged on a driving part and a driven part;
monitoring data calling module: based on the mapping calibration operation parameters, completing time node segmentation of the starting state and the steady state, and calling monitoring data of a sensor group according to a time node segmentation result;
and (3) generating an optimization parameter module: performing operation state analysis of the magnetic suspension type magnetic drive centrifugal pump based on the monitoring data and the mapping calibration operation parameters and the work demand information to generate optimization parameters;
the operation management carries out the module: and performing operation management of the magnetic suspension type magnetic drive centrifugal pump through the optimized parameters.
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