Control device of variable frequency water pump and variable frequency water pump

Abstract

The invention relates to the technical field of variable-frequency water pumps, and particularly discloses a variable-frequency water pump control device and a variable-frequency water pump, and the control device comprises a working condition efficiency solving module which calculates the real-time working condition efficiency according to the operation and environmental parameters of the variable-frequency water pump in the newest stable operation period. And the stability efficiency optimization rotating speed interval solving module determines a current stability efficiency optimization rotating speed interval by associating and constraining various parameters. The abnormal state and parameter identification module identifies abnormal states and parameters in a preset period. The current operating condition coefficient determination module determines a current operating condition coefficient based on the parameter matrix. And the optimization regulation factor determination module is combined with the working condition coefficient, the abnormal state and parameters and the regulation ratio determination model to obtain an optimization regulation factor. The water pump rotating speed adjusting module determines a new rotating speed interval according to the optimized adjusting factor, and generates and outputs a rotating speed smooth adjusting instruction; stable operation of the water pump and a pipe network system is guaranteed, and energy consumption and fault risks are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of variable-frequency water pumps, and particularly relates to a control device for a variable-frequency water pump and a variable-frequency water pump. Background Art

[0002] In many fields such as industrial production, urban water supply, and building heating ventilation, variable-frequency water pumps are widely used. They adjust the flow rate and pressure by changing the motor speed to meet the requirements of different working conditions, which is crucial for the stable operation and energy conservation of the system. With the continuous improvement of the requirements for energy conservation, emission reduction, and refined control in various industries, it has become an inevitable trend to develop a more intelligent and efficient control device for variable-frequency water pumps. Such a control device can accurately adjust the water pump speed based on the operating parameters of the water pump and the pipe network environment parameters, improve the operating efficiency of the water pump, reduce energy consumption, and extend the service life of the equipment, which is of great significance for promoting the sustainable development of various industries and has broad application prospects in related fields.

[0003] However, currently, there are deficiencies in the existing variable-frequency water pump control technology. For example, in the Chinese invention patent with the publication number "CN117072415A" and the patent name "A Control Method, Device, Variable-Frequency Water Pump and Storage Medium for a Variable-Frequency Water Pump", it obtains the operating current and speed of the motor driving the variable-frequency water pump, and determines the current protection threshold for water shortage protection corresponding to the water pump according to the speed. When the operating current is lower than the current protection threshold, it determines that the variable-frequency water pump is in a water shortage state, so as to control the variable-frequency water pump to stop immediately. Compared with the prior art that simply judges whether the water pump is short of water based on the operating current of the driving motor of the water pump, the control scheme of the present invention combines the operating speed of the motor to determine the current protection threshold, thus avoiding the inaccurate problem of identifying water shortage with a single current protection threshold when the variable-frequency water pump is in a low-speed state, and can accurately identify the water shortage state of the variable-frequency water pump, so as to achieve accurate water shortage protection control. However, this variable-frequency water pump control technology fails to comprehensively and comprehensively consider the operating parameters of the water pump and the pipe network environment parameters, accurately calculate the real-time working condition efficiency, and determine the stable efficiency optimization speed range accordingly. It also does not comprehensively analyze the working conditions by combining the abnormal states and parameters during the operation of the water pump, and it is difficult to reasonably realize the smooth and accurate adjustment of the water pump speed according to the overall working conditions of the water pump and the pipe network system, which affects the operating efficiency of the water pump and the stability of the system.

[0004] Therefore, the present invention proposes a control device for a variable-frequency water pump and a variable-frequency water pump. Summary of the Invention

[0005] The present invention provides a control device and a variable-frequency water pump for a variable-frequency water pump, including: a working condition efficiency calculation module capable of calculating the real-time working condition efficiency according to the operation and environmental parameters, accurately reflecting the working state of the water pump. A stable efficiency optimized speed range calculation module determines the optimized speed range through the correlation constraints of the parameter matrix and the real-time working condition efficiency, providing a basis for efficient operation. An abnormal state and parameter identification module can identify abnormalities within a preset period, facilitating timely troubleshooting. A current working condition coefficient determination module determines the working condition coefficient based on the parameter matrix, providing basic data for subsequent adjustment. An optimized adjustment factor determination module combines the working condition coefficient, abnormal state, and adjustment ratio determination model to obtain the optimized adjustment factor. The water pump speed adjustment module generates a smooth speed adjustment command based on the optimized adjustment factor, realizing accurate and smooth adjustment of the water pump speed, improving the operation efficiency of the water pump, ensuring the stable operation of the system, and reducing energy consumption and failure risks.

[0006] The present invention provides a control device for a variable-frequency water pump, including: A working condition efficiency calculation module, configured to calculate the real-time working condition efficiency of the variable-frequency water pump at each moment in the latest stable operation period based on the water pump operation parameters and the pipe network environment parameters of the variable-frequency water pump in the latest stable operation period; A stable efficiency optimized speed range calculation module, configured to perform correlation constraints on all water pump operation parameter items and all pipe network environment parameter items based on the water pump operation parameter matrix, the pipe network environment parameter matrix, the real-time working condition efficiency of the variable-frequency water pump at each moment in the latest stable operation period, and the current working condition parameters, obtain the constraint intervals of all operation parameter items and all pipe network environment parameter items, and determine the current stable efficiency optimized speed range of the variable-frequency water pump based on the constraint intervals of all operation parameter items and all pipe network environment parameter items; An abnormal state and parameter identification module, configured to identify all current abnormal states and corresponding abnormal parameters based on the water pump operation parameters and the pipe network environment parameters within a preset period; A current working condition coefficient determination module, configured to determine the current working condition coefficient based on the water pump operation parameter matrix and the pipe network environment parameter matrix; An optimized adjustment factor determination module, configured to determine the optimized adjustment factor of the current stable efficiency optimized speed range based on the current working condition coefficient, all current abnormal states and corresponding abnormal parameters, and a pre-established adjustment ratio determination model; A water pump speed adjustment module, configured to determine the latest stable efficiency optimized speed range based on the optimized adjustment factor of the current stable efficiency optimized speed range, and generate and output a smooth speed adjustment command for the variable-frequency water pump based on the latest stable efficiency optimized speed range.

[0007] Optionally, the working condition efficiency calculation module includes: An operation and environment parameter perception sub-module, configured to collect the water pump operation parameters and the pipe network environment parameters of the variable-frequency water pump in real time; A real-time operating condition internal conversion efficiency calculation sub-module, which is used to determine the effective power and shaft power of the variable-frequency water pump at each moment in the latest stable operation period based on the water pump operation parameters of the variable-frequency water pump in the latest stable operation period, and regard the ratio of the effective power and shaft power of the variable-frequency water pump at each moment in the latest stable operation period as the real-time operating condition internal conversion efficiency of the variable-frequency water pump at each moment in the latest stable operation period; A real-time operating condition external conversion efficiency calculation sub-module, which is used to calculate the real-time operating condition external conversion efficiency of the variable-frequency water pump at each moment in the latest stable operation period based on the pipe network environment parameters of the variable-frequency water pump in the latest stable operation period; A real-time operating condition efficiency determination sub-module, which is used to regard the product of the real-time operating condition internal conversion efficiency and the real-time operating condition external conversion efficiency of the variable-frequency water pump at each moment in the latest stable operation period as the real-time operating condition efficiency of the variable-frequency water pump at each moment in the latest stable operation period.

[0008] Optionally, the real-time operating condition external conversion efficiency calculation sub-module includes: A theoretical demand power calculation unit, which is used to calculate the theoretical demand power of the variable-frequency water pump at each moment in the latest stable operation period based on the pipe network fluid density and the flow rate at the pipe network inlet included in the pipe network environment parameters of the variable-frequency water pump in the latest stable operation period, and the theoretically overcome head; An actual output power calculation unit, which is used to calculate the actual output power of the variable-frequency water pump at each moment in the latest stable operation period based on the pressure at the pipe network outlet and the flow rate at the pipe network outlet included in the pipe network environment parameters of the variable-frequency water pump in the latest stable operation period; A real-time operating condition external conversion efficiency calculation unit, which is used to regard the ratio of the actual output power and the theoretical demand power of the variable-frequency water pump at each moment in the latest stable operation period as the real-time operating condition external conversion efficiency of the variable-frequency water pump at each moment in the latest stable operation period.

[0009] Optionally, the stable efficiency optimization speed range obtaining module includes: A matrix building sub-module, which is used to build a water pump operation parameter matrix based on the water pump operation parameters of the variable-frequency water pump in the latest stable operation period and the real-time operating condition efficiency of the variable-frequency water pump at each moment in the latest stable operation period. At the same time, a pipe network environment parameter matrix is constructed based on the pipe network environment parameters of the variable-frequency water pump in the latest stable operation period; An equation set construction sub-module, which is used to determine all groups of associated parameter items among all operation parameter items and all pipe network environment parameter items, and construct an equation set for each group of associated parameter items based on all parameter vectors of each group of associated parameter items in the water pump operation parameter matrix and / or the pipe network environment parameter matrix; A constraint interval obtaining sub-module, which is used to perform constraint back-inference on the algebraic equations of all groups of associated parameter items based on the current extreme operating condition parameters, the maximum value ranges of all operating parameter items, the maximum value ranges of all pipeline network environment parameter items, and the maximum value range of the real-time operating condition efficiency, so as to obtain the constraint intervals of all operating parameter items and all pipeline network environment parameter items; A stable efficiency optimized speed interval obtaining sub-module, which is used to determine the current stable efficiency optimized speed interval of the variable frequency water pump based on the constraint intervals of all operating parameter items and all pipeline network environment parameter items.

[0010] Optionally, the abnormal state and parameter identification module includes: An abnormal parameter range obtaining sub-module, which is used to determine the preset abnormal parameter ranges for each abnormal state; A parameter abnormality identification sub-module, which is used to identify the abnormal parameters that meet the preset abnormal parameter ranges in the water pump operating parameters and pipeline network environment parameters within a preset period, and regard the corresponding abnormal state as the current abnormal state.

[0011] Optionally, the current operating condition coefficient determination module includes: A first parameter division and serialization sub-module, which is used to mark, among the water pump operating parameters and pipeline network environment parameters at all times within a preset period with the current moment as the end moment, all the water pump operating parameter sequences and pipeline network environment parameter sequences whose parameter values continuously do not exceed the ideal parameter ranges of the corresponding water pump operating parameter items or corresponding pipeline network environment parameter items under the current operating condition, and regard them as the ideal water pump operating parameter sequences and ideal pipeline network environment parameter sequences; A second parameter division and serialization sub-module, which is used to regard the remaining continuous water pump operating parameter values of each water pump operating parameter item among all the water pump operating parameter values at all times within a preset period with the current moment as the end moment, except for the ideal water pump operating parameter sequences, as the over-limit water pump operating parameter sequences. At the same time, among all the pipeline network environment parameter values of each pipeline network environment parameter item in the pipeline network environment parameters at all times within a preset period with the current moment as the end moment, all the remaining continuous pipeline network environment parameter values except for the ideal pipeline network environment parameter sequences are regarded as the over-limit pipeline network environment parameter sequences; The parameter sequence functionalization sub-module is used to generate, respectively, the ideal water pump operation parameter function and the over-limit water pump operation parameter function of each water pump operation parameter item with time as the independent variable based on the ideal water pump operation parameter sequence and the over-limit water pump operation parameter sequence of each water pump operation parameter item. At the same time, based on the ideal pipe network environment parameter sequence and the over-limit pipe network environment parameter sequence of each pipe network environment parameter item, the ideal pipe network environment parameter function and the over-limit pipe network environment parameter function of each pipe network environment parameter item with time as the independent variable are generated respectively, and the ideal water pump operation parameter function and the over-limit water pump operation parameter function of each water pump operation parameter item, and the ideal pipe network environment parameter function and the over-limit pipe network environment parameter function of each pipe network environment parameter item are regarded as single partial working condition functions respectively; The current working condition coefficient determination sub-module is used to determine the current working condition coefficient based on the first derivative values of all partial working condition functions at each moment.

[0012] Optionally, the current working condition coefficient determination sub-module includes: The serialized parameter summary sub-module is used to calculate the weight of each moment in each group of adjacent moments in the corresponding working condition parameter sequence based on the first derivative values of each partial working condition function in each group of adjacent moments, perform weighted summation on the working condition parameter values in each group of adjacent moments in the corresponding working condition parameter sequence based on the weight of each moment in each group of adjacent moments to obtain a new working condition parameter sequence, generate a new partial working condition function based on the new working condition parameter sequence, and continue to perform weighted summation on the parameter values of adjacent moments in the new working condition parameter sequence based on the first derivative values of the new partial working condition function in each group of adjacent moments until the unique working condition parameter value of the corresponding working condition parameter sequence is obtained, where the working condition parameter sequences are the ideal water pump operation parameter sequence, the over-limit water pump operation parameter sequence, the ideal pipe network environment parameter sequence, and the over-limit pipe network environment parameter sequence respectively; The multi-dimensional parameter value integration sub-module is used to perform weighted summation on the corresponding multiple unique working condition parameter values respectively based on the ideal weight and the over-limit weight of each water pump operation parameter item and the ideal weight and the over-limit weight of each pipe network environment parameter item to obtain the comprehensive working condition parameter value of each water pump operation parameter item and the comprehensive working condition parameter value of each pipe network environment parameter item; The current working condition coefficient calculation sub-module is used to calculate the current working condition coefficient based on the comprehensive working condition parameter values of all water pump operation parameter items, the comprehensive working condition parameter values of all pipe network environment parameter items, the ideal parameter range of all water pump operation parameter items under the current working condition, and the ideal parameter range of all pipe network environment parameter items under the current working condition.

[0013] Optionally, the optimization adjustment factor determination module includes: The abnormal assignment sub-module is used to assign values to each current abnormal state based on the abnormal parameters of each current abnormal state to obtain the abnormal value of each abnormal state; A model output sub-module, configured to input the current operating condition coefficient and the abnormal values of all abnormal states into a pre-built regulation ratio determination model to obtain an optimized regulation factor for the current stable efficiency optimized speed range.

[0014] Optionally, the water pump speed regulation module includes: An upper limit value regulation sub-module, configured to calculate the latest upper limit value of the stable efficiency optimized speed based on the upper limit optimized regulation factor in the optimized regulation factor of the current stable efficiency optimized speed range; A lower limit value regulation sub-module, configured to calculate the latest lower limit value of the stable efficiency optimized speed based on the lower limit optimized regulation factor in the optimized regulation factor of the current stable efficiency optimized speed range; A smooth regulation sub-module, configured to determine the latest stable efficiency optimized speed range based on the latest upper limit value of the stable efficiency optimized speed and the latest lower limit value of the stable efficiency optimized speed, and generate and output a speed smooth regulation instruction for the variable frequency water pump based on the latest stable efficiency optimized speed range.

[0015] The present invention provides a variable frequency water pump, configured to receive the speed smooth regulation instruction of the variable frequency water pump output by any one of the above-mentioned variable frequency water pump control devices, and control its own output speed based on the speed smooth regulation instruction.

[0016] The beneficial effects of the present invention compared with the prior art are as follows: The operating condition efficiency calculation module can calculate the real-time operating condition efficiency according to the operating and environmental parameters, accurately reflecting the working state of the water pump. The stable efficiency optimized speed range calculation module determines the optimized speed range through the associated constraints on the parameter matrix and the real-time operating condition efficiency, providing a basis for efficient operation. The abnormal state and parameter identification module can identify abnormalities within a preset period, facilitating timely troubleshooting. The current operating condition coefficient determination module determines the operating condition coefficient based on the parameter matrix, providing basic data for subsequent regulation. The optimized regulation factor determination module combines the operating condition coefficient, abnormal state, and regulation ratio determination model to obtain the optimized regulation factor. The water pump speed regulation module generates a speed smooth regulation instruction based on the optimized regulation factor, realizing accurate and smooth regulation of the water pump speed, improving the operating efficiency of the water pump, ensuring the stable operation of the system, and reducing energy consumption and failure risks. It can not only be used as an application scenario with strong demonstration and wide driving effect in artificial intelligence technology, driving the development level of the variable frequency water pump manufacturing field, but also promote energy conservation and carbon reduction in industries such as green buildings and data centers that use variable frequency water pumps.

[0017] Other features and advantages of the present invention will be described in the subsequent specification, and, in part, will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained through the structures specifically pointed out in this application document.

[0018] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Description of the Drawings

[0019] The accompanying drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention, but do not constitute a limitation to the present invention. In the accompanying drawings: Figure 1 It is a schematic diagram of the information flow of the function modules of a control device for a variable-frequency water pump and a variable-frequency water pump in an embodiment of the present invention. Detailed Embodiments

[0020] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0021] Embodiment 1: Referring to Figure 1 , the present invention provides an implementation manner of a control device for a variable-frequency water pump, including: A working condition efficiency calculation module, configured to calculate the real-time working condition efficiency of the variable-frequency water pump at each moment in the latest stable operation period based on the water pump operation parameters and the pipe network environment parameters in the latest stable operation period of the variable-frequency water pump; A stable efficiency optimized speed range calculation module, configured to perform correlation constraints on all water pump operation parameter items and all pipe network environment parameter items based on the water pump operation parameter matrix, the pipe network environment parameter matrix, the real-time working condition efficiency of the variable-frequency water pump at each moment in the latest stable operation period, and the current working condition parameters, obtain the constraint ranges of all operation parameter items and all pipe network environment parameter items, and determine the current stable efficiency optimized speed range of the variable-frequency water pump based on the constraint ranges of all operation parameter items and all pipe network environment parameter items; An abnormal state and parameter identification module, configured to identify all current abnormal states and corresponding abnormal parameters based on the water pump operation parameters and the pipe network environment parameters within a preset period; A current working condition coefficient determination module, configured to determine the current working condition coefficient based on the water pump operation parameter matrix and the pipe network environment parameter matrix; An optimized adjustment factor determination module, configured to determine the optimized adjustment factor of the current stable efficiency optimized speed range based on the current working condition coefficient, all current abnormal states and corresponding abnormal parameters, and a pre-established adjustment ratio determination model; A water pump speed adjustment module, configured to determine the latest stable efficiency optimized speed range based on the optimized adjustment factor of the current stable efficiency optimized speed range, and generate and output a smooth speed adjustment instruction for the variable-frequency water pump based on the latest stable efficiency optimized speed range.

[0022] In this embodiment, the latest stable operation period refers to the time period during which the operation state of the variable-frequency water pump is relatively stable and the parameter fluctuations are relatively small recently. For example, in an industrial circulating water system, if the variable-frequency water pump operates stably for a certain 8 hours and parameters such as flow rate and pressure do not change significantly during this period, these 8 hours are the latest stable operation period. This period is used to accurately calculate the real-time working condition efficiency and provide a stable data basis for evaluating the performance of the water pump.

[0023] In this embodiment, the water pump operation parameters are various parameters that describe the operation state and performance of the variable-frequency water pump, such as shaft power, effective power, rotational speed, etc. Taking shaft power as an example, it reflects the power transmitted by the motor to the water pump shaft and represents the input energy required for the water pump to operate; effective power shows the power output by the water pump for actual work. Both are important water pump operation parameters used to analyze the operation efficiency of the water pump itself.

[0024] In this embodiment, the pipe network environment parameters are parameters that characterize the characteristics of the pipe network system environment where the variable-frequency water pump is located, including pipe network fluid density, flow rate in the pipe network, pressure at the pipe network outlet, etc. For example, in a heating pipe network, parameters such as the density of the pipe network fluid (hot water), the flow rate of hot water in the pipe network, and the outlet pressure at the end of the pipe network will affect the working load and actual operation effect of the water pump, and are key factors for considering the compatibility between the water pump and the pipe network.

[0025] In this embodiment, the real-time working condition efficiency is an index that comprehensively reflects the actual operation efficiency of the variable-frequency water pump at each moment during the latest stable operation period. It is obtained by multiplying the in-conversion efficiency (the ratio of effective power to shaft power) and the out-conversion efficiency (the ratio of actual output power to theoretical demand power) within the real-time working condition. Suppose the in-conversion efficiency of the real-time working condition at a certain moment is 0.8 and the out-conversion efficiency is 0.9, then the real-time working condition efficiency at this moment is 0.8×0.9 = 0.72. The higher the value, the higher the operation efficiency of the water pump at this moment in combination with its own performance and the external pipe network environment.

[0026] In this embodiment, the water pump operation parameter matrix is a matrix constructed based on the water pump operation parameters of the variable-frequency water pump during the latest stable operation period and the real-time working condition efficiency corresponding to each moment. For example, taking time as the row and different water pump operation parameters (shaft power, effective power, etc.) and real-time working condition efficiency as the columns to construct the matrix. The first row records the shaft power, effective power values and real-time working condition efficiency at the 1st moment during the period, and the second row records the relevant data at the 2nd moment, which is convenient for analyzing the correlation between parameters and the change law over time.

[0027] In this embodiment, the pipe network environmental parameter matrix is a matrix constructed based on the pipe network environmental parameters of the variable-frequency water pump during the latest stable operation period. Similarly, time is used as the row, and different pipe network environmental parameters (such as pipe network fluid density, pressure at the pipe network outlet, etc.) are used as the columns. For example, the first row records the parameter values such as the pipe network fluid density and the pressure at the pipe network outlet at the start moment of the period, and the second row records the parameter values at the next moment, so as to present the changes in the pipe network environmental parameters during this period and assist in analyzing the influence of the pipe network environment on the operation of the water pump.

[0028] In this embodiment, the current operating condition parameters are parameters closely related to the current operating condition of the variable-frequency water pump, and are used to perform associated constraints on all water pump operating parameter items and all pipe network environmental parameter items. For example, in a specific industrial production scenario, the production process has specific requirements for flow rate and pressure, and the corresponding flow rate and pressure values are the current operating condition parameters, which participate in the process of determining the relationship between the water pump operating parameters and the pipe network environmental parameters to ensure that the water pump operation meets the current actual requirements.

[0029] In this embodiment, the constraint intervals of all operating parameter items and all pipe network environmental parameter items are obtained by performing constraint backpropagation on the algebraic equation system constructed by the associated parameter items based on the current extreme operating condition parameters, the maximum value ranges of all operating parameter items, the maximum value ranges of all pipe network environmental parameter items, and the maximum value range of the real-time operating condition efficiency. For example, it is known that the extreme temperature of the water pump motor limits the value of the shaft power, and the maximum pressure that the pipe network material can withstand limits the value of the pressure at the pipe network outlet. By performing backpropagation on the equation system describing the parameter relationship through these limiting conditions, the reasonable value intervals of all operating parameter items (such as shaft power, rotational speed, etc.) and all pipe network environmental parameter items (such as pressure at the pipe network outlet, flow rate, etc.) under the current situation are obtained to ensure the safe and efficient operation of the water pump and the pipe network.

[0030] In this embodiment, the current stable efficiency optimization rotational speed interval of the variable-frequency water pump is determined according to the constraint intervals of all operating parameter items and all pipe network environmental parameter items, and is the rotational speed range that can enable the variable-frequency water pump to operate stably and efficiently under the current operating condition. For example, through calculation and analysis, when the parameters such as the pipe network flow rate and pressure are within their respective constraint intervals, the water pump rotational speed operating in the range of 1200 - 1500 revolutions per minute can ensure the efficient and stable operation of the water pump, and this interval is the current stable efficiency optimization rotational speed interval, which helps to improve the water pump operation efficiency and system stability.

[0031] In this embodiment, the preset period is a time period artificially set to analyze whether there are abnormalities during the operation of the variable-frequency water pump. For example, the preset period is set to 1 hour, and during this 1 hour, the water pump operating parameters and the pipe network environmental parameters are continuously monitored to identify possible abnormal situations, so as to timely discover and handle potential faults and ensure the long-term stable operation of the water pump.

[0032] In this embodiment, the current abnormal state and the corresponding abnormal parameters are identified within a preset period by monitoring the operation parameters of the water pump and the pipeline network environment parameters, and the abnormal conditions and related parameters that meet the preset abnormal parameter range are recognized. For example, when the pressure at the preset pipeline network outlet is lower than 2 standard atmospheres, it is an "abnormal state of too low pressure". If the pressure at the pipeline network outlet is monitored to be 1.5 standard atmospheres within the preset period, then the "abnormal state of too low pressure" is the current abnormal state, and 1.5 standard atmospheres is the corresponding abnormal parameter. Discovering these in time can help the operation and maintenance personnel quickly locate the problem.

[0033] In this embodiment, the current operating condition coefficient is determined based on the operation parameter matrix of the water pump and the pipeline network environment parameter matrix, and it is a coefficient used to comprehensively reflect the degree of difference between the current operating condition of the variable-frequency water pump and the ideal operating condition. For example, it is calculated by processing the operation parameters of the water pump and the pipeline network environment parameters within the preset period through operations such as partitioning, serialization, and functionalization, and combining the first derivative values of each part of the operating condition function at each moment. If the current operating condition coefficient is close to 1, it indicates that the current operating condition is close to the ideal operating condition; if it deviates greatly from 1, it means that the current operating condition has a large difference from the ideal operating condition, providing an important reference for subsequent adjustment.

[0034] In this embodiment, the pre-established adjustment ratio determination model is a model pre-constructed based on a certain algorithm and a large amount of relevant data. It takes the current operating condition coefficient and the abnormal values of all abnormal states as inputs, and through internal model operations and analyses, outputs the optimization adjustment factor for the current stable efficiency optimization speed range. For example, this model may be based on a machine learning algorithm and trained using historical operating condition data and the corresponding optimization adjustment factor data, so that it can accurately give a suitable optimization adjustment factor according to the input current operating condition information, providing a scientific basis for the water pump speed adjustment.

[0035] In this embodiment, the optimization adjustment factor for the current stable efficiency optimization speed range is a factor obtained by the optimization adjustment factor determination module in combination with the current operating condition coefficient, all current abnormal states, and the corresponding abnormal parameters through the pre-established adjustment ratio determination model. For example, the model calculates a value as the optimization adjustment factor based on the difference between the operating condition reflected by the current operating condition coefficient and the ideal operating condition, as well as the current existing abnormal states (such as too low pressure, too large flow, etc.) and their corresponding abnormal parameters, and uses it to adjust the current stable efficiency optimization speed range to make the speed range more in line with the actual operating condition of the current water pump.

[0036] In this embodiment, the latest stable efficiency optimization speed range is determined based on the optimization adjustment factor of the current stable efficiency optimization speed range, which is a speed range that better fits the current actual operating conditions of the variable-frequency water pump. For example, if the original current stable efficiency optimization speed range is 1000 - 1300 revolutions per minute, it is adjusted according to the optimization adjustment factor, such as being adjusted to 900 - 1200 revolutions per minute. This new range is the latest stable efficiency optimization speed range, providing an accurate basis for generating the speed adjustment instruction.

[0037] In this embodiment, generating and outputting a smooth speed adjustment instruction for the variable-frequency water pump based on the latest stable efficiency optimization speed range means generating a control instruction that can make the water pump speed change smoothly according to the determined latest stable efficiency optimization speed range and sending it to the variable-frequency water pump. For example, if the latest stable efficiency optimization speed range is 1100 - 1400 revolutions per minute, the instruction will control the water pump speed to smoothly transition from the current speed to within this range, avoiding the impact of sudden speed changes on the mechanical components of the water pump, ensuring the stable output of the water pump, meeting the stable requirements of the pipe network system for flow and pressure, and ensuring the efficient and reliable operation of the entire system.

[0038] Embodiment 2: On the basis of Embodiment 1, the working condition efficiency calculation module includes: An operation and environment parameter perception sub-module, which is used to collect the water pump operation parameters and pipe network environment parameters of the variable-frequency water pump in real time; A real-time working condition internal conversion efficiency calculation sub-module, which is used to determine the effective power and shaft power of the variable-frequency water pump at each moment in the latest stable operation cycle based on the water pump operation parameters of the variable-frequency water pump in the latest stable operation cycle, and regard the ratio of the effective power and shaft power of the variable-frequency water pump at each moment in the latest stable operation cycle as the real-time working condition internal conversion efficiency of the variable-frequency water pump at each moment in the latest stable operation cycle; A real-time working condition external conversion efficiency calculation sub-module, which is used to calculate the real-time working condition external conversion efficiency of the variable-frequency water pump at each moment in the latest stable operation cycle based on the pipe network environment parameters of the variable-frequency water pump in the latest stable operation cycle; A real-time working condition efficiency determination sub-module, which is used to regard the product of the real-time working condition internal conversion efficiency and the real-time working condition external conversion efficiency of the variable-frequency water pump at each moment in the latest stable operation cycle as the real-time working condition efficiency of the variable-frequency water pump at each moment in the latest stable operation cycle.

[0039] In this embodiment, the effective power refers to the power output by the water pump for actual work, which is used to drive the fluid to overcome resistance for actual work such as transportation. For example, in a water supply system, the water pump lifts water to a certain height and overcomes the pipeline resistance to make the water flow. The power used for the actual work such as lifting water and overcoming resistance during this process is the effective power. The shaft power refers to the power transmitted by the motor to the water pump shaft, which is the power required for the operation of the water pump. Just like the motor drives the water pump shaft to rotate through a coupling, the power transmitted by the motor to the water pump shaft is the shaft power. Part of the shaft power is converted into effective power for actual work, and the other part is consumed due to factors such as friction and leakage inside the water pump.

[0040] In this embodiment, the real-time operating condition internal conversion efficiency refers to the ratio of the effective power to the shaft power at each moment during the latest stable operation cycle of the variable-frequency water pump. For example, at a certain moment, the effective power of the water pump is 5 kW and the shaft power is 6 kW. Then the real-time operating condition internal conversion efficiency at this moment is 5÷6≈0.83. It reflects the real-time internal efficiency of the water pump in converting the input shaft power into effective power, and embodies the energy conversion performance of the water pump itself. The higher the value, the more effective the internal energy conversion of the water pump and the better its own performance.

[0041] In this embodiment, the real-time operating condition external conversion efficiency refers to the ratio of the actual output power to the theoretical required power at each moment during the latest stable operation cycle of the variable-frequency water pump. Suppose at a certain stable operation moment, the actual output power is calculated to be 8 kW based on the pressure at the outlet of the pipe network and the flow rate at the outlet of the pipe network, and the theoretical required power calculated based on the fluid density in the pipe network, the flow rate in the pipe network and the theoretical overcoming head is 10 kW. At this time, the real-time operating condition external conversion efficiency is 8÷10 = 0.8. It reflects the efficiency of the water pump in converting internal energy into the output energy that meets the actual needs of the pipe network considering external pipe network environmental factors, and reflects the adaptability and energy utilization of the water pump to the external pipe network environment.

[0042] The operation and environment parameter perception sub-module collects parameters in real time, providing the latest and accurate data basis for subsequent calculations to ensure the timely tracking of the operation state of the water pump. The real-time operating condition internal conversion efficiency calculation sub-module determines the ratio of the effective power to the shaft power through the operation parameters of the water pump, which can intuitively reflect the internal energy conversion efficiency of the water pump and provide a key index for analyzing the performance of the water pump itself. The real-time operating condition external conversion efficiency calculation sub-module calculates the real-time operating condition external conversion efficiency based on the pipe network environmental parameters, considering the influence of the external environment on the operation of the water pump. The real-time operating condition efficiency determination sub-module multiplies the internal and external conversion efficiencies to obtain the real-time operating condition efficiency, comprehensively reflecting the overall efficiency of the variable-frequency water pump in actual operation, covering its own performance and external environmental factors, providing more comprehensive and accurate data support for the subsequent precise evaluation and optimization adjustment of the operation state of the water pump, and helping to achieve the efficient and stable operation of the water pump.

[0043] Embodiment 3: Based on Embodiment 2, the real-time operating condition external conversion efficiency calculation sub-module includes: The theoretical demand power calculation unit is used to calculate the theoretical demand power of the variable-frequency water pump at each moment in the latest stable operation cycle based on the network fluid density and the flow rate at the network inlet included in the network environment parameters in the latest stable operation cycle of the variable-frequency water pump, that is: Multiply the network fluid density (kg / m 3 ), gravitational acceleration (m / s 2 ), the flow rate at the network inlet (m 3 / s), and the theoretical overcoming head (m) at each moment as the theoretical demand power (kg·m 2 / s 3 ) at each moment; The actual output power calculation unit is used to calculate the actual output power of the variable-frequency water pump at each moment in the latest stable operation cycle based on the pressure at the network outlet and the flow rate at the network outlet included in the network environment parameters in the latest stable operation cycle of the variable-frequency water pump, that is: Multiply the pressure at the network outlet (kg / m / s 2 ), and the flow rate at the network outlet (m 3 / s) at each moment as the actual output power (kg·m 2 / s 3 ) at each moment; The real-time operating condition external conversion efficiency calculation unit is used to take the ratio of the actual output power to the theoretical demand power of the variable-frequency water pump at each moment in the latest stable operation cycle as the real-time operating condition external conversion efficiency of the variable-frequency water pump at each moment in the latest stable operation cycle.

[0044] In this embodiment, the network fluid density refers to the mass per unit volume of the fluid in the network. For example, in the network of a water supply system, the density of water is usually about 1000 kg / m³, which is the density of the fluid (water) in this network. It affects the difficulty of the water pump in transporting the fluid and the energy consumption. Different fluids (such as oil, gas, etc.) have different densities, which have different effects on the operation of the water pump.

[0045] In this embodiment, the flow rate at the network inlet is the volume of the fluid flowing into the network per unit time. For example, in the cooling water network of a factory, 5 cubic meters of cooling water flows into the network per minute, and 5 cubic meters / minute is the flow rate at the network inlet. The magnitude of this flow rate determines the total amount of fluid that the water pump needs to handle, and is directly related to the working load and operating parameters of the water pump.

[0046] In this embodiment, the theoretical head to overcome is the pressure equivalent value corresponding to the height difference that the water pump theoretically needs to overcome to lift the fluid from one position to another. Suppose we want to pump water from a ground pool to a water tank on the 10th floor, with each floor being 3 meters high. Considering factors such as pipeline resistance, the theoretical head to overcome may be set at 35 meters, that is, the water pump needs to provide the pressure to lift the water to a height of 35 meters. It is an important indicator for measuring the fluid-lifting ability of the water pump and affects the selection of the water pump and its operating energy consumption.

[0047] In this embodiment, the theoretical required power is the power value calculated based on the fluid density in the pipe network, the flow rate in the pipe network, and the theoretical head to overcome during the latest stable operation period of the variable-frequency water pump, which reflects the power required by the water pump to meet the requirements of fluid transportation in the pipe network under ideal conditions.

[0048] In this embodiment, the pressure at the pipe network outlet refers to the pressure that the fluid has at the pipe network outlet position. For example, at the outlet of a household tap water pipe, the pressure usually remains at 2 - 3 standard atmospheric pressures to ensure that the water can flow out normally and meet the user's usage requirements. The magnitude of the pressure at the pipe network outlet affects the outflow velocity and flow rate of the fluid and is crucial for the user experience at the user end and the operating stability of the equipment.

[0049] In this embodiment, the flow rate at the pipe network outlet refers to the volume of fluid flowing out of the pipe network outlet per unit time. For example, at the outlet of an irrigation pipe network, 20 cubic meters of water flows out per hour, and this 20 cubic meters per hour is the flow rate at the pipe network outlet. It reflects the ability of the pipe network to finally output fluid to the outside and is related to various factors such as the flow rate at the pipe network inlet, the operating state of the water pump, and the pipe network resistance.

[0050] In this embodiment, the actual output power is the power value calculated based on the pressure at the pipe network outlet and the flow rate at the pipe network outlet during the latest stable operation period of the variable-frequency water pump, which reflects the power actually output by the water pump to drive the fluid. For example, if the actual output power is calculated to be 4 kilowatts according to the power calculation formula, this indicates that during this operation period, the power actually output by the water pump to push the fluid in the pipe network is 4 kilowatts.

[0051] The theoretical required power calculation unit calculates the theoretical required power at each moment based on the fluid density of the pipe network, the flow rate at the inlet of the pipe network, and the theoretical head to be overcome, providing a quantitative standard for evaluating the external work demand of the water pump from a theoretical level and enabling a clear understanding of the power value that the water pump should reach. The actual output power calculation unit obtains the actual output power using the pressure and flow rate at the outlet of the pipe network, truly reflecting the actual external output capacity of the water pump during this operating cycle. The real-time off-design conversion efficiency calculation unit determines the real-time off-design conversion efficiency by comparing the actual output power with the theoretical required power. This ratio can accurately reflect the actual efficiency of the water pump in converting internal energy into effective output in the external pipe network environment. Through this series of precise calculations, the operating efficiency of the variable-frequency water pump in the external environment is comprehensively and deeply revealed, providing key data support for in-depth analysis of the adaptability between the water pump and the pipe network and optimizing the operating strategy, and helping to improve the operating efficiency and stability of the entire system.

[0052] Embodiment 4: On the basis of Embodiment 1, the stable efficiency optimized speed range obtaining module includes: The matrix building sub-module is used to build a water pump operating parameter matrix based on the water pump operating parameters during the latest stable operating cycle of the variable-frequency water pump and the real-time off-design efficiency at each moment during the latest stable operating cycle of the variable-frequency water pump. At the same time, a pipe network environment parameter matrix is built based on the pipe network environment parameters during the latest stable operating cycle of the variable-frequency water pump; The equation set building sub-module is used to determine all groups of associated parameter items among all operating parameter items and all pipe network environment parameter items, and build an equation set for each group of associated parameter items based on all parameter vectors of each group of associated parameter items in the water pump operating parameter matrix and / or the pipe network environment parameter matrix; The constraint range obtaining sub-module is used to perform constraint backpropagation on the algebraic equation sets of all groups of associated parameter items based on the current limit operating condition parameters, the maximum value ranges of all operating parameter items, the maximum value ranges of all pipe network environment parameter items, and the maximum value range of the real-time off-design efficiency, and obtain the constraint ranges of all operating parameter items and all pipe network environment parameter items; The stable efficiency optimized speed range obtaining sub-module is used to determine the current stable efficiency optimized speed range of the variable-frequency water pump based on the constraint ranges of all operating parameter items and all pipe network environment parameter items.

[0053] In this embodiment, building a water pump operation parameter matrix based on the water pump operation parameters during the latest stable operation cycle of the variable-frequency water pump and the real-time working condition efficiency at each moment during the latest stable operation cycle of the variable-frequency water pump means arranging the water pump operation parameters (such as shaft power, effective power, etc.) at different moments during this cycle in a certain order and integrating them with the real-time working condition efficiency at the corresponding moment to form a matrix structure. For example, taking time as the row index and different water pump operation parameters and real-time working condition efficiency as the column index, a two-dimensional matrix is constructed. Assuming that the latest stable operation cycle is 10 minutes and data is recorded once per minute, then the first row of the matrix records the values of water pump operation parameters such as shaft power and effective power at the 1st minute and the corresponding real-time working condition efficiency value, the second row records the relevant data at the 2nd minute, and so on. This facilitates analyzing the relationship between the water pump operation parameters and the real-time working condition efficiency.

[0054] In this embodiment, building a pipe network environment parameter matrix based on the pipe network environment parameters during the latest stable operation cycle of the variable-frequency water pump means arranging various environment parameters of the pipe network (such as pipe network fluid density, pressure at the pipe network outlet, etc.) during this cycle into a matrix form according to the time sequence or other logical sequences. For example, still taking the latest stable operation cycle of 10 minutes as an example, taking time as the row and different pipe network environment parameters as the column, a matrix is constructed. The first row records the parameter values such as pipe network fluid density and pressure at the pipe network outlet at the 1st minute, and the second row records the corresponding parameter values at the 2nd minute. Through this matrix, the change situation of the pipe network environment parameters during this cycle can be intuitively understood.

[0055] In this embodiment, determining all group-associated parameter items among all operation parameter items and all pipe network environment parameter items means finding out those parameter combinations in the water pump operation and pipe network environment that have internal connections and mutual influences with each other. For example, there may be an association between the shaft power of the water pump and the flow rate and pressure of the pipe network, and there may also be a correlation between the pipe network fluid density and the theoretical head to be overcome. These parameter combinations with an association relationship constitute the group-associated parameter items.

[0056] In this embodiment, building an equation set for each group-associated parameter item based on all parameter vectors of all group-associated parameter items in the water pump operation parameter matrix and / or the pipe network environment parameter matrix means, according to the parameter vector information corresponding to these associated parameter items in the corresponding matrix, using their physical relationships or mathematical logics among them to establish an equation set that can describe their quantitative relationships. For example, given that there is an association between the shaft power and the pipe network flow rate and pressure, obtain the parameter vectors of shaft power, pipe network flow rate, and pressure at different moments from the water pump operation parameter matrix and the pipe network environment parameter matrix, and based on relevant principles such as fluid mechanics, establish an equation set such as shaft power = k1 × pipe network flow rate × pipe network pressure + k2 (where k1 and k2 are constants) to reflect their relationship.

[0057] In this embodiment, the current extreme operating condition parameters refer to the parameter values corresponding to the extreme operating states that the variable-frequency water pump can withstand or reach under the current operating conditions. For example, when the water pump runs at high speed for a long time and the load reaches the maximum, the highest temperature that the motor can withstand is one of the current extreme operating condition parameters; or under specific pipeline network conditions, the maximum head that the water pump can provide also belongs to the current extreme operating condition parameters. These parameters define the boundary conditions for the operation of the water pump.

[0058] In this embodiment, the maximum value range of all operating parameter items refers to the maximum value interval that each operating parameter item can reach on the premise of ensuring the safe, stable, and normal operation of the variable-frequency water pump and the entire pipeline network system. For example, the rated power of the water pump motor determines the maximum value range of the shaft power. If the rated power of the motor is 100 kW, considering a certain safety margin and actual operating conditions, the maximum value range of the shaft power may be set to 90 - 100 kW. Exceeding this range may cause problems such as motor overheating and damage, affecting the normal operation of the water pump.

[0059] In this embodiment, the maximum value range of all pipeline network environmental parameter items is the maximum value interval that each parameter item in the pipeline network environment can reach under the condition of ensuring the normal operation of the pipeline network system and not causing failures. For example, the maximum pressure that the pipeline network can withstand is an important parameter. Assuming that the upper limit of the designed pressure that a certain pipeline network can withstand is 10 standard atmospheres, considering safety factors, the maximum value range of the pressure at the outlet of the pipeline network is set to 8 - 10 standard atmospheres. If the pressure exceeds this range, serious problems such as pipeline network rupture may occur.

[0060] In this embodiment, the maximum value range of the real-time operating condition efficiency refers to the maximum value interval that the real-time operating condition efficiency of the variable-frequency water pump can reach under various reasonable operating conditions. For example, through a large number of tests and data analyses of this type of water pump under different operating conditions, it is found that its real-time operating condition efficiency can reach up to about 90% under ideal conditions. Considering various losses and fluctuations in actual operation, the maximum value range of the real-time operating condition efficiency is set to 85% - 90%.

[0061] In this embodiment, based on the current extreme operating condition parameters, the maximum value ranges of all operating parameter items, the maximum value ranges of all pipeline network environment parameter items, and the maximum value range of the real-time operating condition efficiency, the algebraic equations of all groups of associated parameter items are constrained and inversely deduced to obtain the constraint intervals of all operating parameter items and all pipeline network environment parameter items. This means that taking the above-mentioned various parameter ranges as limiting conditions and substituting them into the algebraic equations that describe the relationships of the associated parameter items, through the way of reverse derivation, the reasonable value intervals of all operating parameter items and all pipeline network environment parameter items are calculated under the condition of meeting these limiting conditions. For example, given the associated equations of shaft power with pipeline network flow rate and pressure, combined with the maximum value ranges of shaft power, pipeline network flow rate, pressure, and the maximum value range of real-time operating condition efficiency and other limiting conditions, the actual feasible value intervals of parameters such as shaft power, pipeline network flow rate, and pressure are obtained through mathematical operations.

[0062] In this embodiment, determining the current stable efficiency optimization speed interval of the variable-frequency water pump based on the constraint intervals of all operating parameter items and all pipeline network environment parameter items means that according to the reasonable value intervals of each operating parameter item and pipeline network environment parameter item obtained, comprehensively considering the working characteristics and efficiency requirements of the water pump, a speed range that can make the variable-frequency water pump operate stably and achieve the optimal efficiency under the current operating condition is determined. For example, through calculation, it is known that when the pipeline network flow rate is within a certain interval, the shaft power is within the corresponding interval, etc., when the water pump speed is between 1500 - 1800 revolutions per minute, the high-efficiency and stable operation of the water pump can be ensured, and this 1500 - 1800 revolutions per minute is the current stable efficiency optimization speed interval.

[0063] The matrix building sub-module builds the water pump operating parameter matrix and the pipeline network environment parameter matrix based on the parameters within the latest stable operation period, orderly integrating the complex operation and environment data, and providing a clear data structure for subsequent analysis. The equation system building sub-module determines the associated parameter items and builds the equation system, effectively revealing the internal relationships between the parameters, and making the understanding of the system operation rules more accurate. The constraint interval obtaining sub-module performs constraint inverse deduction based on the current extreme operating condition parameters, the maximum value ranges of each parameter, and the maximum value range of the real-time operating condition efficiency, can fully consider various limiting conditions, and obtain scientific and reasonable parameter constraint intervals to ensure that the system operates within a safe and efficient range. The stable efficiency optimization speed interval obtaining sub-module determines the current stable efficiency optimization speed interval based on these constraint intervals, providing a clear and optimized direction for the speed regulation of the variable-frequency water pump, helping to improve the operation efficiency of the water pump, reduce energy consumption, and at the same time ensure the stability and reliability of the system operation, and avoid various problems caused by unreasonable speed.

[0064] Example 5: On the basis of Example 1, the abnormal state and parameter identification module includes: An abnormal parameter range acquisition sub-module, which is used to determine the preset abnormal parameter range for each abnormal state; A parameter abnormality identification sub-module, which is used to identify abnormal parameters that meet the preset abnormal parameter range in the pump operation parameters and pipe network environment parameters within a preset period, and regard the corresponding abnormal state as the current abnormal state.

[0065] In this embodiment, the preset abnormal parameter range for each abnormal state refers to a specific value range of relevant parameters preset for various possible abnormal situations of a variable-frequency pump, which is used to accurately judge whether the pump is in a certain abnormal state. For example, assuming that the pressure at the outlet of the pipe network during normal operation of the pump is usually between 3 and 5 standard atmospheres, when the pressure at the outlet of the pipe network less than 2 standard atmospheres is set as the preset abnormal parameter range of the "abnormal state of too low pressure", once the monitored pressure at the outlet of the pipe network is within this range, it may mean that there is an abnormal situation of too low pressure.

[0066] In this embodiment, identifying abnormal parameters that meet the preset abnormal parameter range in the pump operation parameters and pipe network environment parameters within a preset period means that within a preset period of time, various operation parameters (such as shaft power, effective power, etc.) during the operation of the pump and pipe network environment parameters (such as pipe network fluid density, flow rate at the outlet of the pipe network, etc.) are monitored in real time, and parameters whose values meet the corresponding preset abnormal parameter range are found. For example, the preset period is set to 1 hour, and the flow rate at the inlet of the pipe network is continuously monitored within this 1 hour. If the preset abnormal parameter range of the "abnormal state of too large flow rate" is that the flow rate at the inlet of the pipe network is greater than 100 cubic meters per hour, when the monitored flow rate at the inlet of the pipe network reaches 120 cubic meters per hour, then this flow rate value of 120 cubic meters per hour is an abnormal parameter that meets the preset abnormal parameter range, indicating that there may be an abnormal situation of too large flow rate.

[0067] The abnormal parameter range acquisition sub-module clarifies the preset abnormal parameter range for each abnormal state, establishes a clear standard system for subsequent identification work, makes the abnormal judgment follow rules, and enhances the accuracy and standardization of identification. The parameter abnormality identification sub-module can quickly identify abnormal parameters that meet the preset range in the pump operation parameters and pipe network environment parameters within a preset period and accurately correspond them to the corresponding abnormal states. This fast and accurate identification mechanism helps the operation and maintenance personnel to timely discover abnormal situations during the operation of the variable-frequency pump. In this way, a timely response can be made to abnormal conditions, potential faults can be prevented from further deteriorating, the risk of equipment damage can be reduced, the stable and reliable operation of the variable-frequency pump can be guaranteed, the downtime and maintenance costs caused by abnormal situations can be reduced, and the operation efficiency and economic benefits of the entire system can be improved.

[0068] Embodiment 6: On the basis of Embodiment 1, the current working condition coefficient determination module includes: The first parameter partitioning and serialization sub-module is used to mark, among the pump operation parameters and pipe network environment parameters at all times within a preset period with the current moment as the end moment, all the pump operation parameter sequences and pipe network environment parameter sequences whose parameter values continuously do not exceed the ideal parameter ranges of the corresponding pump operation parameter items or corresponding pipe network environment parameter items under the current working conditions, and regard them as the ideal pump operation parameter sequences and ideal pipe network environment parameter sequences; The second parameter partitioning and serialization sub-module is used to regard, among all the pump operation parameter values of each pump operation parameter item in the pump operation parameters at all times within a preset period with the current moment as the end moment, the remaining continuous pump operation parameter values except the ideal pump operation parameter sequence as the over-limit pump operation parameter sequence. At the same time, among all the pipe network environment parameter values of each pipe network environment parameter item in the pipe network environment parameters at all times within a preset period with the current moment as the end moment, all the remaining continuous pipe network environment parameter values except the ideal pipe network environment parameter sequence are regarded as the over-limit pipe network environment parameter sequence; The parameter sequence functionalization sub-module is used to respectively generate, based on the ideal pump operation parameter sequence and the over-limit pump operation parameter sequence of each pump operation parameter item, the ideal pump operation parameter function and the over-limit pump operation parameter function of each pump operation parameter item with time as the independent variable. At the same time, based on the ideal pipe network environment parameter sequence and the over-limit pipe network environment parameter sequence of each pipe network environment parameter item, the ideal pipe network environment parameter function and the over-limit pipe network environment parameter function of each pipe network environment parameter item with time as the independent variable are respectively generated, and the ideal pump operation parameter function and the over-limit pump operation parameter function of each pump operation parameter item, and the ideal pipe network environment parameter function and the over-limit pipe network environment parameter function of each pipe network environment parameter item are respectively regarded as single partial working condition functions; The current working condition coefficient determination sub-module is used to determine the current working condition coefficient based on the first derivative values of all the partial working condition functions at each moment.

[0069] In this embodiment, the ideal parameter range of the pump operation parameter item or the pipe network environment parameter item under the current working condition refers to the numerical interval in which the pump operation parameter (such as shaft power, rotational speed, etc.) or the pipe network environment parameter (such as the pipe network outlet pressure, flow rate, etc.) should be in order to make the variable-frequency pump and the pipe network system reach the best operation state under specific current operation working condition conditions. For example, in a certain specific industrial production process, in order to ensure the stable supply of production water, the ideal parameter range of the pipe network outlet pressure is set to 3 - 4 standard atmospheric pressures, and the ideal range of the pump's rotational speed is set to 1500 - 1800 revolutions per minute. Being within this range helps to achieve efficient and stable operation.

[0070] In this embodiment, the ideal water pump operation parameter sequence refers to the sequence formed by arranging in chronological order all the parameter values in the water pump operation parameter items, within a preset period with the current moment as the end moment, where the parameter values continuously do not exceed the ideal parameter range of the corresponding water pump operation parameter item under the current working conditions. For example, within a preset 1-hour period, the shaft power values of the water pump at each detection moment are within the ideal parameter range of the shaft power under the current working conditions. These shaft power values arranged in chronological order constitute the ideal water pump operation parameter sequence, which reflects the variation of the water pump operation parameters over time under ideal conditions.

[0071] In this embodiment, the ideal pipe network environment parameter sequence refers to the sequence formed by arranging in chronological order all the parameter values in the pipe network environment parameter items, within a preset period with the current moment as the end moment, where the parameter values continuously do not exceed the ideal parameter range of the corresponding pipe network environment parameter item under the current working conditions. For example, within the above-mentioned preset 1-hour period, the flow rate in the pipe network at each detection moment is within the ideal parameter range of the flow rate in the pipe network under the current working conditions. These flow rate values arranged in chronological order form the ideal pipe network environment parameter sequence, which is used to show the evolution of the pipe network environment parameters over time under ideal conditions.

[0072] In this embodiment, the over-limit water pump operation parameter sequence refers to the sequence composed of the remaining continuous water pump operation parameter values in all the water pump operation parameter values of each water pump operation parameter item in the water pump operation parameters, within a preset period with the current moment as the end moment, excluding the ideal water pump operation parameter sequence. For example, within the preset period, the water pump speed is mostly within the ideal range, but there is a continuous period of time when the speed exceeds the ideal range. This part of the continuous speed values that exceed the ideal range constitutes the over-limit water pump operation parameter sequence, which reflects the deviation of the water pump operation parameters from the ideal state.

[0073] In this embodiment, the over-limit pipe network environment parameter sequence refers to the sequence composed of all the remaining continuous pipe network environment parameter values in all the pipe network environment parameter values of each pipe network environment parameter item in the pipe network environment parameters, within a preset period with the current moment as the end moment, excluding the ideal pipe network environment parameter sequence. For example, within the preset period, the pressure at the outlet of the pipe network mostly conforms to the ideal range, but there is a period of time when the pressure continuously drops below the ideal range. This part of the continuous pressure values that are below the ideal range forms the over-limit pipe network environment parameter sequence, which reflects the abnormal deviation of the pipe network environment parameters from the ideal state.

[0074] In this embodiment, based on the ideal water pump operation parameter sequences and over-limit water pump operation parameter sequences for each water pump operation parameter item, the ideal water pump operation parameter functions and over-limit water pump operation parameter functions for each water pump operation parameter item with time as the independent variable are generated respectively. At the same time, based on the ideal pipe network environment parameter sequences and over-limit pipe network environment parameter sequences for each pipe network environment parameter item, the ideal pipe network environment parameter functions and over-limit pipe network environment parameter functions for each pipe network environment parameter item with time as the independent variable are generated, which means that for each water pump operation parameter item (such as shaft power, rotational speed, etc.), the parameter values in the ideal water pump operation parameter sequence are corresponded with time, and a function with time as the independent variable is fitted by mathematical methods, that is, the ideal water pump operation parameter function, which describes the variation law of this parameter with time under the ideal state; similarly, a similar process is performed on the over-limit water pump operation parameter sequence to obtain the over-limit water pump operation parameter function. The same operation is also performed on the pipe network environment parameter items (such as pipe network outlet pressure, flow rate, etc.) to generate the ideal pipe network environment parameter function and the over-limit pipe network environment parameter function respectively. For example, for the parameter item of water pump rotational speed, the ideal water pump operation parameter function generated according to the ideal water pump operation parameter sequence may be a linear function, reflecting the stable variation of the rotational speed with time under the ideal state; the over-limit water pump operation parameter function generated according to the over-limit water pump operation parameter sequence may show characteristics of fluctuation or mutation, reflecting the variation of the parameter when it exceeds the ideal range.

[0075] In this embodiment, the first derivative value of some working condition functions at each moment refers to the derivatives of the above-generated ideal water pump operation parameter functions, over-limit water pump operation parameter functions, ideal pipe network environment parameter functions and over-limit pipe network environment parameter functions (collectively referred to as some working condition functions) at each time point. The derivative reflects the rate of change of the function at this point. For some working condition functions, the first derivative value can reflect the degree of change of the corresponding parameter at each moment. For example, if the first derivative value of the ideal water pump operation parameter function at a certain moment is positive and large, it indicates that the corresponding water pump operation parameter (such as shaft power) is rising rapidly under the ideal state at this moment; if the first derivative value is negative, it means that the parameter is decreasing. By analyzing these first derivative values, the dynamic variation characteristics of the water pump operation parameters and pipe network environment parameters with time in different states can be understood more deeply, providing key information for determining the current working condition coefficient.

[0076] The first parameter partitioning and serialization sub-module clearly defines the part that conforms to the ideal state of the current working condition by marking the parameter sequence of the ideal parameter range, providing a benchmark for subsequent analysis and facilitating the accurate measurement of the deviation between the actual operation and the ideal state. The second parameter partitioning and serialization sub-module clearly distinguishes the parameter sequences that exceed the limit, enabling the operation and maintenance personnel to quickly focus on the abnormal parts that may affect the working condition and promptly discover potential problems. Moreover, the parameter sequence functionalization sub-module converts the parameter sequence into a function with time as the independent variable, visually presenting the complex parameter changes in the form of a function, which helps to deeply analyze the changing trend of the parameters over time. The current working condition coefficient determination sub-module determines the current working condition coefficient based on the first derivative values of each part of the working condition function. The first derivative can reflect the rate of change of the function, thereby more accurately quantifying the dynamic change characteristics of the current working condition, providing strong data support for the system to make precise adjustments according to the actual working condition, effectively improving the response ability and adjustment accuracy of the variable-frequency water pump control system to the change of the working condition, and ensuring the efficient and stable operation of the water pump.

[0077] Embodiment 7: On the basis of Embodiment 6, the current working condition coefficient determination sub-module includes: The serialized parameter summary sub-module is used to calculate the weight of each moment in each group of adjacent moments in the corresponding working condition parameter sequence based on the first derivative values of each part of the working condition function at each group of adjacent moments, perform weighted summation on the working condition parameter values at each moment in each group of adjacent moments in the corresponding working condition parameter sequence based on the weight of each moment in each group of adjacent moments to obtain a new working condition parameter sequence, generate a new part of the working condition function based on the new working condition parameter sequence, and continue to perform weighted summation on the parameter values at adjacent moments in the new working condition parameter sequence based on the first derivative values of the new part of the working condition function at each group of adjacent moments until the unique working condition parameter value of the corresponding working condition parameter sequence is obtained, where the working condition parameter sequences are respectively the ideal water pump operation parameter sequence, the over-limit water pump operation parameter sequence, the ideal pipe network environment parameter sequence, and the over-limit pipe network environment parameter sequence; The multi-dimensional parameter value integration sub-module is used to perform weighted summation on the corresponding multiple unique working condition parameter values respectively based on the ideal weight and over-limit weight of each water pump operation parameter item and the ideal weight and over-limit weight of each pipe network environment parameter item to obtain the comprehensive working condition parameter value of each water pump operation parameter item and the comprehensive working condition parameter value of each pipe network environment parameter item; The current working condition coefficient calculation sub-module is used to calculate the current working condition coefficient based on the comprehensive working condition parameter values of all water pump operation parameter items, the comprehensive working condition parameter values of all pipe network environment parameter items, the ideal parameter range of all water pump operation parameter items under the current working condition, and the ideal parameter range of all pipe network environment parameter items under the current working condition.

[0078] In this embodiment, calculating the weight of each moment in each group of adjacent moments in the corresponding working condition parameter sequence based on the first derivative values of each partial working condition function at each group of adjacent moments means taking the ratio of the first derivative value of each partial working condition function at each moment to the sum of the first derivative values of the single group of adjacent moments to which it belongs as the weight of each moment in each group of adjacent moments in the corresponding working condition parameter sequence. Since each moment may belong to two groups of adjacent moments, each moment also corresponds to two weight values.

[0079] In this embodiment, weighted summing the working condition parameter values in each group of adjacent moments in the corresponding working condition parameter sequence based on the weight of each moment in each group of adjacent moments to obtain a new working condition parameter sequence means that for the parameter values of each group of adjacent moments in the ideal water pump operation parameter sequence, the over-limit water pump operation parameter sequence, the ideal pipe network environment parameter sequence, and the over-limit pipe network environment parameter sequence, weighted addition is performed according to the calculated weights. For example, for the parameter values P1 and P2 at adjacent moments t1 and t2 in the ideal water pump operation parameter sequence, if the weight at moment t1 is w1 and the weight at moment t2 is w2 (w1 + w2 = 1), then the weighted sum gives a new parameter value P = P1 w1 + P2 w2. Such calculations are performed for each group of adjacent moments, thereby obtaining a new working condition parameter sequence. This new sequence comprehensively considers the parameter values and their change rates at different moments.

[0080] In this embodiment, generating a new partial working condition function based on the new working condition parameter sequence, and based on the first derivative values of the new partial working condition function at each group of adjacent moments, continuing to perform weighted summation on the parameter values at adjacent moments in the new working condition parameter sequence has the same processing principle as the previous steps until finally a unique value, that is, a unique working condition parameter value, is obtained through weighted summation. This means that after obtaining the new working condition parameter sequence, it is again fitted into a new partial working condition function, and then the above processes of calculating weights and weighted summation are repeated, continuously iterating. For example, calculating weights for the first derivative values of the new ideal water pump operation parameter function at adjacent moments, performing weighted summation on the parameter values at adjacent moments in the new working condition parameter sequence to obtain an updated parameter sequence, and then generating a new function, continuing this process until finally a single value is obtained. This value represents a characteristic value of the working condition parameter sequence after comprehensive analysis, which integrates the changes of the parameters in the entire sequence.

[0081] In this embodiment, the working condition parameter value refers to the specific parameter value corresponding to each moment in the water pump operation parameter sequence (ideal or over-limit) and the pipe network environment parameter sequence (ideal or over-limit). For example, in the ideal water pump operation parameter sequence, the water pump shaft power value of 5 kW recorded at a certain moment is a working condition parameter value, which reflects the actual magnitude of the water pump shaft power at that moment.

[0082] In this embodiment, the ideal weights and over-limit weights of each water pump operation parameter item are weight coefficients set in advance for the ideal operating conditions and over-limit operating conditions of each water pump operation parameter item according to factors such as the water pump operation characteristics, the requirements of the pipe network system, and actual operation experience. These weights are used to measure the influence degrees of the ideal water pump operation parameter sequence and the over-limit water pump operation parameter sequence on the comprehensive operating conditions. For example, for the rotational speed parameter item of the water pump, since the rotational speed has a great influence on the water pump performance, the ideal weight may be set to 0.6 and the over-limit weight to 0.4, indicating that when comprehensively considering the operating conditions, the influence of the ideal rotational speed sequence is relatively greater.

[0083] In this embodiment, the ideal weights and over-limit weights of each pipe network environment parameter item are similar to the weight settings of the water pump operation parameter items. They are weight coefficients determined for the ideal operating conditions and over-limit operating conditions of each pipe network environment parameter item according to the characteristics of the pipe network operation, the system objectives, and past experience. For example, for the pipe network outlet pressure parameter item, considering the importance of pressure to the stability of the pipe network, the ideal weight is set to 0.7 and the over-limit weight to 0.3, which is used to evaluate the contribution degrees of the ideal pipe network environment parameter sequence and the over-limit pipe network environment parameter sequence to the overall operating conditions when comprehensively analyzing the operating conditions.

[0084] In this embodiment, based on the ideal weights and over-limit weights of each water pump operation parameter item and the ideal weights and over-limit weights of each pipe network environment parameter item, weighted summations are respectively performed on the corresponding multiple unique operating condition parameter values to obtain the comprehensive operating condition parameter values of each water pump operation parameter item and the comprehensive operating condition parameter values of each pipe network environment parameter item. That is, the unique operating condition parameter value obtained by performing multiple weighted summations on each water pump operation parameter item is weighted and added according to the ideal weight and the over-limit weight to obtain the comprehensive operating condition parameter value of this parameter item; the same operation is also performed on the pipe network environment parameter item. For example, if the ideal unique operating condition parameter value of a certain water pump operation parameter item is A, the over-limit unique operating condition parameter value is B, the ideal weight is w1, and the over-limit weight is w2, then the comprehensive operating condition parameter value of this water pump operation parameter item = A w1 + B w2. In this way, a comprehensive value of each parameter item considering both the ideal and over-limit operating conditions is obtained, which comprehensively reflects the influence of this parameter item on the overall operating conditions.

[0085] In this embodiment, calculating the current operating condition coefficient based on the comprehensive operating condition parameter values of all water pump operating parameter items, the comprehensive operating condition parameter values of all pipeline network environment parameter items, the ideal parameter ranges of all water pump operating parameter items under the current operating condition, and the ideal parameter ranges of all pipeline network environment parameter items under the current operating condition means using the relationship between the obtained comprehensive operating condition parameter values and the ideal parameter ranges, and obtaining a numerical value through a specific calculation formula. This numerical value is the current operating condition coefficient. For example, a possible calculation formula is: current operating condition coefficient = (sum of the matching degrees between the comprehensive operating condition parameter values of all water pump operating parameter items and the ideal parameter ranges + sum of the matching degrees between the comprehensive operating condition parameter values of all pipeline network environment parameter items and the ideal parameter ranges) / total number of parameter items. This coefficient comprehensively reflects the closeness of the current operating condition of the water pump and pipeline network system to the ideal operating condition, providing an important basis for the subsequent evaluation and adjustment of the system operating state.

[0086] The serialized parameter summary sub-module calculates weights based on the first derivative values of partial operating condition functions, performs weighted summation on the operating condition parameter sequence and continuously iterates until a unique operating condition parameter value is obtained. This process fully considers the change rate of parameters at different times and their influence on the overall operating condition, can effectively extract the core features of the parameter sequence, enhances the summarization ability of the operating condition parameters, and avoids important information that may be lost by simple averaging. The multi-dimensional parameter value synthesis sub-module uses the ideal weight and the over-limit weight to perform weighted summation on multiple unique operating condition parameter values to obtain the comprehensive operating condition parameter value, comprehensively considering the different ideal and over-limit situations of the water pump operating parameters and the pipeline network environment parameters, and comprehensively integrating multi-dimensional parameter information, making the description of the operating condition more comprehensive and accurate. The current operating condition coefficient calculation sub-module calculates the current operating condition coefficient based on the comprehensive operating condition parameter value and the ideal parameter range, combines the actual operating parameters with the ideal operating condition, and can accurately quantify the difference degree between the current operating condition and the ideal state, providing more targeted and accurate operating condition feedback for the system. This series of steps enables the current operating condition coefficient to more precisely and comprehensively reflect the actual operating condition of the variable-frequency water pump, helps the system make more reasonable and accurate adjustment decisions, further improves the stability and efficiency of the water pump operation, and reduces energy waste and equipment loss caused by inaccurate operating condition judgment.

[0087] Embodiment 8: On the basis of Embodiment 1, optimize the adjustment factor determination module, including: The abnormal value assignment sub-module is used to assign values to each current abnormal state based on the abnormal parameters of each current abnormal state to obtain the abnormal value of each abnormal state; The model output sub-module is used to input the current operating condition coefficient and the abnormal values of all abnormal states into a pre-established adjustment ratio determination model to obtain the optimization adjustment factor for the current stable efficiency optimization speed range.

[0088] In this embodiment, assigning values to each current abnormal state based on the abnormal parameters of each current abnormal state to obtain the abnormal value of each abnormal state means that after identifying the abnormal state and the corresponding abnormal parameters during the operation of the variable-frequency water pump, according to factors such as the nature and severity of the abnormal parameters, a quantitative value is assigned to each abnormal state, and this value is the abnormal value. For example, assume that two abnormal states are currently identified. One is "the pressure at the outlet of the pipe network is too low", and the corresponding abnormal parameter is that the pressure value at the outlet of the pipe network is 1 standard atmospheric pressure (the normal range is assumed to be 3 - 5 standard atmospheric pressures). Since the too low pressure may have a relatively serious impact on the system operation, according to the pre-set rules, the abnormal value assigned to this abnormal state is 80 (the value range is assumed to be 0 - 100, and the larger the value, the more serious the abnormal degree); the other abnormal state is "the water pump speed is slightly higher than the normal range", and the corresponding abnormal parameter is that the water pump speed is 1850 revolutions per minute (the normal range is assumed to be 1500 - 1800 revolutions per minute), and its impact on the system is relatively small, and the assigned abnormal value according to the rules is 30. Through this assignment method, different types of abnormal states are converted into quantifiable and comparable abnormal values, which is convenient for comprehensively considering the impact of abnormal situations on the system in the follow-up, such as inputting into the regulation ratio determination model to determine the optimization regulation factor together with other parameters, so as to make more accurate adjustments to the operation of the variable-frequency water pump.

[0089] The abnormal value assignment sub-module assigns values to each current abnormal state based on its abnormal parameters to obtain the abnormal value, which enables the abnormal state to be presented in a quantitative numerical form. This quantification method not only more intuitively reflects the severity or impact degree of different abnormal states, but also provides a unified numerical basis for subsequent comprehensive analysis with other parameters, facilitating the system to comprehensively evaluate the impact of abnormal situations on the overall operation. The model output sub-module inputs the current operating condition coefficient and the abnormal values of all abnormal states into the pre-built regulation ratio determination model to obtain the optimization regulation factor for the current stable efficiency optimized speed range. This process comprehensively considers the current actual operating conditions and possible abnormal situations. Through the calculation and analysis of the model, a more accurate and reasonable optimization regulation factor can be obtained. This factor provides a key basis for adjusting the stable efficiency optimized speed range of the variable-frequency water pump, helping the system to flexibly and accurately adjust the speed according to the actual operating conditions and abnormal situations to reach the best operating state, thereby improving the water pump operation efficiency, reducing energy consumption, reducing equipment wear, extending the equipment service life, and ensuring the stable and efficient operation of the system.

[0090] Embodiment 9: On the basis of Embodiment 1, the water pump speed regulation module includes: The upper limit value regulation sub-module is used to calculate the latest upper limit value of the stable efficiency optimized speed based on the upper limit optimization regulation factor in the optimization regulation factor of the current stable efficiency optimized speed range; The lower limit value adjustment sub-module is used to calculate the latest stable efficiency optimized speed lower limit value based on the lower limit optimization adjustment factor in the optimization adjustment factors of the current stable efficiency optimized speed range; The smooth adjustment sub-module is used to determine the latest stable efficiency optimized speed range based on the latest stable efficiency optimized speed upper limit value and the latest stable efficiency optimized speed lower limit value, and generate and output a speed smooth adjustment instruction for the variable frequency water pump based on the latest stable efficiency optimized speed range.

[0091] In this embodiment, calculating the latest stable efficiency optimized speed upper limit value based on the upper limit optimization adjustment factor in the optimization adjustment factors of the current stable efficiency optimized speed range means using the part related to the upper limit (i.e., the upper limit optimization adjustment factor) in the optimization adjustment factors of the already determined current stable efficiency optimized speed range, and determining a new speed upper limit value through a specific calculation method. For example, assuming that the original upper limit value of the current stable efficiency optimized speed range is Nmax and the upper limit optimization adjustment factor is kmax, the latest stable efficiency optimized speed upper limit value Nnew-max may be calculated through the formula Nnew-max = Nmax × kmax (this is just a simple assumed calculation method, and the actual calculation may be more complex). This new upper limit value is obtained by adjusting the original upper limit value after considering the current working conditions and possible abnormal situations, making the speed upper limit more in line with the actual operation requirements, so as to ensure that the water pump operates efficiently and stably while avoiding problems such as increased equipment wear and excessive energy consumption caused by too high a speed.

[0092] In this embodiment, calculating the latest stable efficiency optimized speed lower limit value based on the lower limit optimization adjustment factor in the optimization adjustment factors of the current stable efficiency optimized speed range means obtaining a new speed lower limit value by applying the corresponding calculation rules according to the part for the lower limit (i.e., the lower limit optimization adjustment factor) in the optimization adjustment factors of the current stable efficiency optimized speed range. For example, if the original lower limit value of the current stable efficiency optimized speed range is Nmin and the lower limit optimization adjustment factor is kmin, the latest stable efficiency optimized speed lower limit value Nnew-min can be obtained through a calculation method similar to Nnew-min = Nmin × kmin (also a simple assumed calculation form, and the actual calculation depends on the specific situation). The adjusted lower limit value can combine the actual working conditions and abnormal situations to ensure that the water pump can also meet the system requirements when operating at a lower speed, avoiding problems such as insufficient flow and pressure or unstable water pump operation caused by too low a speed, and ensuring that the water pump can operate efficiently and stably throughout the speed range.

[0093] The upper limit value adjustment sub-module calculates the latest stable efficiency optimized rotational speed upper limit value based on the upper limit optimization adjustment factor, which enables the system to flexibly adjust the rotational speed upper limit according to the actual working conditions and optimization requirements, avoiding energy waste, excessive equipment wear, and potential operation instability problems caused by too high rotational speed, and ensuring that the water pump operates efficiently without exceeding the safe and reasonable rotational speed range. Similarly, the lower limit value adjustment sub-module determines the latest stable efficiency optimized rotational speed lower limit value through the lower limit optimization adjustment factor, setting a reasonable bottom line for the water pump rotational speed, ensuring that the water pump can also maintain stable operation under low load or special working conditions, and avoiding being unable to meet the actual requirements or having operation failures due to too low rotational speed. The smooth adjustment sub-module determines the latest stable efficiency optimized rotational speed range based on the calculated upper and lower limit values, and on this basis, smoothly adjusts the rotational speed of the variable frequency water pump. This smooth adjustment method effectively avoids sudden changes in rotational speed, reduces the impact on the mechanical components of the water pump, extends the service life of the equipment, and also makes the output of the water pump more stable, enabling it to better match the requirements of the external pipe network, improving the stability and reliability of the entire system, ensuring the continuous and efficient operation of the system, and providing stable water supply or other fluid transportation services for users.

[0094] The present invention provides an implementation mode of a variable frequency water pump, which is used to receive the rotational speed smooth adjustment instruction of the variable frequency water pump output by the control device of any one of the variable frequency water pumps in Embodiments 1 to 9, and control its own output rotational speed based on the rotational speed smooth adjustment instruction.

[0095] This implementation mode has universality and can be applied to receiving the instructions of any one of the control devices in Embodiments 1 to 9, enhancing the adaptability and flexibility of the entire variable frequency water pump control system, and facilitating application and promotion under different scenarios and requirements.

[0096] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the present invention and its equivalent technologies, the present invention also intends to include these changes and modifications.

Claims

1. A control device for a variable-frequency water pump, characterized in that, Including: A working condition efficiency calculation module, which is used to calculate the real-time working condition efficiency of the variable-frequency water pump at each moment in the latest stable operation period based on the water pump operation parameters and the pipe network environment parameters of the variable-frequency water pump in the latest stable operation period; A stable efficiency optimized speed range calculation module, which is used to perform correlation constraints on all water pump operation parameter items and all pipe network environment parameter items based on the water pump operation parameter matrix, the pipe network environment parameter matrix, the real-time working condition efficiency of the variable-frequency water pump at each moment in the latest stable operation period, and the current working condition parameters, obtain the constraint ranges of all operation parameter items and all pipe network environment parameter items, and determine the current stable efficiency optimized speed range of the variable-frequency water pump based on the constraint ranges of all operation parameter items and all pipe network environment parameter items; An abnormal state and parameter identification module, which is used to identify all current abnormal states and corresponding abnormal parameters based on the water pump operation parameters and the pipe network environment parameters within a preset period; A current working condition coefficient determination module, which is used to determine the current working condition coefficient based on the water pump operation parameter matrix and the pipe network environment parameter matrix; An optimized adjustment factor determination module, which is used to determine the optimized adjustment factor of the current stable efficiency optimized speed range based on the current working condition coefficient, all current abnormal states and corresponding abnormal parameters, and a pre-established adjustment ratio determination model; A water pump speed adjustment module, which is used to determine the latest stable efficiency optimized speed range based on the optimized adjustment factor of the current stable efficiency optimized speed range, and generate and output a smooth speed adjustment instruction for the variable-frequency water pump based on the latest stable efficiency optimized speed range.

2. The control device of the variable-frequency water pump according to claim 1, characterized in that, The working condition efficiency calculation module includes: An operation and environment parameter perception sub-module, which is used to collect the water pump operation parameters and the pipe network environment parameters of the variable-frequency water pump in real time; A real-time working condition internal conversion efficiency calculation sub-module, which is used to determine the effective power and shaft power of the variable-frequency water pump at each moment in the latest stable operation period based on the water pump operation parameters of the variable-frequency water pump in the latest stable operation period, and regard the ratio of the effective power and shaft power of the variable-frequency water pump at each moment in the latest stable operation period as the real-time working condition internal conversion efficiency of the variable-frequency water pump at each moment in the latest stable operation period; A real-time working condition external conversion efficiency calculation sub-module, which is used to calculate the real-time working condition external conversion efficiency of the variable-frequency water pump at each moment in the latest stable operation period based on the pipe network environment parameters of the variable-frequency water pump in the latest stable operation period; A real-time working condition efficiency determination sub-module, which is used to regard the product of the real-time working condition internal conversion efficiency and the real-time working condition external conversion efficiency of the variable-frequency water pump at each moment in the latest stable operation period as the real-time working condition efficiency of the variable-frequency water pump at each moment in the latest stable operation period.

3. The control device of the variable-frequency water pump according to claim 2, characterized in that, The real-time working condition external conversion efficiency calculation sub-module includes: A theoretical demand power calculation unit, which is used to calculate the theoretical demand power of the variable-frequency water pump at each moment in the latest stable operation period based on the pipe network fluid density and the flow rate at the pipe network inlet included in the pipe network environment parameters of the variable-frequency water pump in the latest stable operation period, and the theoretical overcoming head; An actual output power calculation unit for calculating the actual output power of the variable-frequency water pump at each moment in the latest stable operation cycle based on the pressure at the outlet of the pipe network and the flow rate at the outlet of the pipe network included in the pipe network environment parameters at each moment in the latest stable operation cycle of the variable-frequency water pump; A real-time operating condition external conversion efficiency calculation unit for taking the ratio of the actual output power of the variable-frequency water pump at each moment in the latest stable operation cycle to the theoretical required power as the real-time operating condition external conversion efficiency of the variable-frequency water pump at each moment in the latest stable operation cycle.

4. The control device of the variable-frequency water pump according to claim 1, characterized in that, A stable efficiency optimization speed range obtaining module, including: A matrix construction sub-module for constructing a water pump operating parameter matrix based on the water pump operating parameters of the variable-frequency water pump in the latest stable operation cycle and the real-time operating condition efficiency of the variable-frequency water pump at each moment in the latest stable operation cycle. At the same time, a pipe network environment parameter matrix is constructed based on the pipe network environment parameters of the variable-frequency water pump in the latest stable operation cycle; An equation system construction sub-module for determining all groups of associated parameter items among all operating parameter items and all pipe network environment parameter items, and constructing an equation system for each group of associated parameter items based on all parameter vectors of each group of associated parameter items in the water pump operating parameter matrix and / or the pipe network environment parameter matrix; A constraint interval obtaining sub-module for performing constraint inversion on the algebraic equation systems of all groups of associated parameter items based on the current limit operating condition parameters, the maximum value ranges of all operating parameter items, the maximum value ranges of all pipe network environment parameter items, and the maximum value range of the real-time operating condition efficiency, and obtaining the constraint intervals of all operating parameter items and all pipe network environment parameter items; A stable efficiency optimization speed range obtaining sub-module for determining the current stable efficiency optimization speed range of the variable-frequency water pump based on the constraint intervals of all operating parameter items and all pipe network environment parameter items.

5. The control device of the variable-frequency water pump according to claim 1, characterized in that, An abnormal state and parameter identification module, including: An abnormal parameter range obtaining sub-module for determining the preset abnormal parameter range for each abnormal state; A parameter abnormality identification sub-module for identifying abnormal parameters that meet the preset abnormal parameter range in the water pump operating parameters and pipe network environment parameters within a preset period, and taking the corresponding abnormal state as the current abnormal state.

6. The control device of the variable-frequency water pump according to claim 1, characterized in that, A current operating condition coefficient determination module, including: A first parameter division and serialization sub-module for marking all water pump operating parameter sequences and pipe network environment parameter sequences in which the parameter values continuously do not exceed the ideal parameter ranges of the corresponding water pump operating parameter items or the corresponding pipe network environment parameter items under the current operating conditions among all moments within a preset period with the current moment as the end moment, as the ideal water pump operating parameter sequences and ideal pipe network environment parameter sequences; The second parameter partitioning and serialization sub-module is used to regard the remaining continuous pump operation parameter values in all pump operation parameter values of each pump operation parameter item within a preset period with the current moment as the end moment, except for the ideal pump operation parameter sequence, as the over-limit pump operation parameter sequence. At the same time, the remaining continuous network environment parameter values in all network environment parameter values of each network environment parameter item within a preset period with the current moment as the end moment, except for the ideal network environment parameter sequence, are regarded as the over-limit network environment parameter sequence; The parameter sequence functionalization sub-module is used to respectively generate an ideal pump operation parameter function and an over-limit pump operation parameter function of each pump operation parameter item with time as the independent variable based on the ideal pump operation parameter sequence and the over-limit pump operation parameter sequence of each pump operation parameter item. At the same time, based on the ideal network environment parameter sequence and the over-limit network environment parameter sequence of each network environment parameter item, an ideal network environment parameter function and an over-limit network environment parameter function of each network environment parameter item with time as the independent variable are respectively generated, and the ideal pump operation parameter function and the over-limit pump operation parameter function of each pump operation parameter item, and the ideal network environment parameter function and the over-limit network environment parameter function of each network environment parameter item are respectively regarded as single partial operating condition functions; The current operating condition coefficient determination sub-module is used to determine the current operating condition coefficient based on the first derivative values of all partial operating condition functions at each moment.

7. The control device of the variable-frequency water pump according to claim 6, characterized in that, The current operating condition coefficient determination sub-module includes: The serialized parameter summary sub-module is used to calculate the weight of each moment in each group of adjacent moments in the corresponding operating condition parameter sequence based on the first derivative values of each partial operating condition function in each group of adjacent moments, perform weighted summation on the operating condition parameter values in each group of adjacent moments in the corresponding operating condition parameter sequence based on the weight of each moment in each group of adjacent moments to obtain a new operating condition parameter sequence, generate a new partial operating condition function based on the new operating condition parameter sequence, and continue to perform weighted summation on the parameter values of adjacent moments in the new operating condition parameter sequence based on the first derivative values of the new partial operating condition function in each group of adjacent moments until the unique operating condition parameter value of the corresponding operating condition parameter sequence is obtained, where the operating condition parameter sequences are respectively the ideal pump operation parameter sequence, the over-limit pump operation parameter sequence, the ideal network environment parameter sequence, and the over-limit network environment parameter sequence; The multi-dimensional parameter value integration sub-module is used to perform weighted summation on the corresponding multiple unique operating condition parameter values respectively based on the ideal weight and the over-limit weight of each pump operation parameter item and the ideal weight and the over-limit weight of each network environment parameter item to obtain the comprehensive operating condition parameter value of each pump operation parameter item and the comprehensive operating condition parameter value of each network environment parameter item; The current operating condition coefficient calculation sub-module is used to calculate the current operating condition coefficient based on the comprehensive operating condition parameter values of all pump operating parameter items, the comprehensive operating condition parameter values of all pipeline network environment parameter items, the ideal parameter ranges of all pump operating parameter items under the current operating condition, and the ideal parameter ranges of all pipeline network environment parameter items under the current operating condition.

8. The control device of the variable-frequency water pump according to claim 1, characterized in that, The optimization adjustment factor determination module includes: The abnormal value assignment sub-module is used to assign values to each current abnormal state based on the abnormal parameters of each current abnormal state to obtain the abnormal values of each abnormal state. The model output sub-module is used to input the current operating condition coefficient and the abnormal values of all abnormal states into a pre-established adjustment ratio determination model to obtain the optimization adjustment factor for the current stable efficiency optimization speed range.

9. The control device for a variable-frequency water pump according to claim 1, characterized in that The pump speed adjustment module includes: The upper limit value adjustment sub-module is used to calculate the latest upper limit value of the stable efficiency optimization speed based on the upper limit optimization adjustment factor in the optimization adjustment factor for the current stable efficiency optimization speed range. The lower limit value adjustment sub-module is used to calculate the latest lower limit value of the stable efficiency optimization speed based on the lower limit optimization adjustment factor in the optimization adjustment factor for the current stable efficiency optimization speed range. The smooth adjustment sub-module is used to determine the latest stable efficiency optimization speed range based on the latest upper limit value of the stable efficiency optimization speed and the latest lower limit value of the stable efficiency optimization speed, and generate and output a speed smooth adjustment instruction for the variable frequency pump based on the latest stable efficiency optimization speed range.

10. A variable-frequency water pump, characterized in that, It is used to receive the speed smooth adjustment instruction of the variable frequency pump output by the control device of the variable frequency pump according to any one of claims 1 to 9, and control its own output speed based on the speed smooth adjustment instruction.

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