A general-purpose asynchronous motor energy-saving control system and method

Abstract

The application provides a kind of general asynchronous motor energy-saving control system and method, it is related to energy-saving control technical field, by monitoring the target asynchronous motor energy-saving control response process driven by water pump circulation, the degree of response deviation is analyzed, and then whether the optimization strategy is executed is judged, if not executed, the response process is continuously monitored, if executed, the strategy process is monitored, based on strategy execution monitoring, abnormal early warning condition is analyzed, whether the response capability early warning is judged, accurately adapts water pump circulation scene, according to the characteristics of water pump load fluctuation, whether optimization is dynamically decided through deviation analysis, invalid adjustment is avoided, water supply stability is guaranteed, response controllability is strong, continuous monitoring and strategy execution monitoring are combined, water pump motor response problem is captured in time, energy waste caused by response lag is reduced, at the same time, early warning condition is analyzed in advance, water pump motor abnormal operation risk can be avoided, energy saving and water supply system reliability are considered.

Description

Technical Field

[0001] This invention relates to the field of energy-saving control technology, and in particular to a general-purpose asynchronous motor energy-saving control system and method. Background Technology

[0002] The core logic of current asynchronous motor energy-saving control systems is to achieve on-demand energy supply by dynamically adjusting motor operating parameters. The system's rapid response capability is the key support for ensuring the efficient implementation of this logic. Firstly, in the parameter acquisition stage, current, voltage, speed, and torque sensors capture motor operating data in real time at millisecond frequencies. After signal conversion and filtering, the data is instantly transmitted to the core processor. Upon receiving the data, the processor performs load rate calculation and demand analysis at microsecond intervals. Combined with an optimized dedicated control algorithm, it quickly derives the target voltage and frequency parameters adapted to the current load. Subsequently, the control system instantly converts the target parameters into adjustment commands and sends them to the inverter execution module. The inverter adjusts the voltage and frequency output to the motor in real time according to the commands, rapidly achieving dynamic adaptation of the motor speed. This efficiently completes the closed-loop control from load change to parameter response to output adjustment, ensuring that the motor can still match demand in real time even when the load fluctuates, maximizing energy utilization efficiency.

[0003] For example, the Chinese invention patent CN108418499B discloses an energy-saving frequency converter for direct torque control of a built-in permanent magnet synchronous motor, which includes an energy-saving frequency converter controller for the permanent magnet synchronous motor and a power converter for the permanent magnet synchronous motor. By establishing an equivalent circuit model of the built-in permanent magnet synchronous motor in the rotor magnetic field orientation coordinate system, taking into account core losses, a method for solving the stator flux linkage with maximum operating efficiency and minimal power consumption when the motor output torque and speed are constant is given. An optimal stator flux linkage calculation module is constructed and placed into the direct torque control drive system to achieve high-efficiency and fast-response control of the built-in permanent magnet synchronous motor.

[0004] For example, Chinese invention patent CN104601078B discloses a control method for a multifunctional motor in a power system. This control method uses a set of three-phase symmetrical windings of the motor to drive the load in motor mode through a PI controller, a predictive controller, and an inverter. It has good speed regulation performance. Moreover, because a predictive controller is used instead of a traditional current PI controller, the lag characteristic of the traditional current PI controller is solved, and the bandwidth and dynamic performance of the system are improved. At the same time, another set of three-phase symmetrical windings of the motor is used to generate electricity in power mode through a voltage regulator, a current regulator, and a converter to provide stable and normal power generation to the power supply object, which can quickly and dynamically respond.

[0005] The existing technology has the following technical problems:

[0006] In current practices of motor energy-saving control, the core focus of technical solutions is on addressing the significant decline in dynamic response characteristics caused by degraded motor performance. This is achieved by optimizing the control strategy at the motor actuator and improving the adaptability of the actuator to maintain the system's dynamic response capability. However, the current technology's one-sided emphasis on performance degradation makes it difficult for the system to compensate for response shortcomings through coordinated optimization of the signal link and actuator, thereby exacerbating excessive energy consumption. Specifically, during the response lag period, the motor continues to operate according to the original parameters, failing to adapt to load changes in a timely manner, resulting in wasted energy. Under long-term operation, this response degradation will continuously reduce system energy efficiency, which in turn will cause the motor to consume more energy to maintain load demand, ultimately forming a vicious cycle of response degradation, energy efficiency reduction, and energy consumption increase, thus restricting the overall effectiveness of asynchronous motor energy-saving control technology. Summary of the Invention

[0007] To address the technical problem that response degradation in existing technologies restricts the overall effectiveness of energy-saving control technologies for asynchronous motors, this invention provides a universal energy-saving control system and method for asynchronous motors. The technical solution is as follows:

[0008] On the one hand, a universal asynchronous motor energy-saving control system is provided. This system includes: an energy-saving control response analysis module, used to mark the universal asynchronous motor driving the water pump circulation as the target asynchronous motor, monitor the energy-saving control response process of the target asynchronous motor, and analyze the degree of deviation in the energy-saving control response of the target asynchronous motor; an energy-saving control response optimization module, used to determine whether the target asynchronous motor executes an energy-saving control response optimization strategy based on the degree of deviation in the energy-saving control response of the target asynchronous motor; if it is determined that the target asynchronous motor executes the energy-saving control response optimization strategy, then the process of the target asynchronous motor executing the energy-saving control response optimization strategy is monitored; otherwise, the energy-saving control response process of the target asynchronous motor is continuously monitored; and an energy-saving control response early warning module, used to analyze whether there are abnormal early warning conditions for the asynchronous motor based on the monitoring process of the target asynchronous motor executing the energy-saving control response optimization strategy, thereby determining whether to issue an early warning for the energy-saving control response capability of the target asynchronous motor.

[0009] On the other hand, a universal asynchronous motor energy-saving control method is provided. This method includes: marking the universal asynchronous motor driving the water pump circulation as the target asynchronous motor; monitoring the energy-saving control response process of the target asynchronous motor; analyzing the degree of deviation in the energy-saving control response of the target asynchronous motor; based on the degree of deviation in the energy-saving control response of the target asynchronous motor, determining whether the target asynchronous motor executes an energy-saving control response optimization strategy; if it is determined that the target asynchronous motor executes the energy-saving control response optimization strategy, then monitoring the process of the target asynchronous motor executing the energy-saving control response optimization strategy; otherwise, continuously monitoring the energy-saving control response process of the target asynchronous motor; and based on the monitoring process of the target asynchronous motor executing the energy-saving control response optimization strategy, analyzing whether there are abnormal early warning conditions for the asynchronous motor, thereby determining whether to issue an early warning for the energy-saving control response capability of the target asynchronous motor.

[0010] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following:

[0011] (1) This invention monitors the energy-saving control response process of the target asynchronous motor driving the water pump circulation, analyzes the degree of its response deviation, and then determines whether to execute the optimization strategy. If not executed, the response process is continuously monitored; if executed, the strategy process is monitored. Based on the strategy execution monitoring, abnormal warning conditions are analyzed, and it is determined whether to issue a warning for the response capability. It accurately adapts to the water pump circulation scenario. In response to the characteristics of water pump load fluctuation, the deviation analysis dynamically determines whether to optimize, avoids ineffective adjustment, ensures stable water supply, and has strong response controllability. The combination of continuous monitoring and strategy execution monitoring can promptly capture water pump motor response problems, reduce energy waste caused by response lag, and at the same time, the early warning conditions can be analyzed in advance to avoid the risk of abnormal operation of the water pump motor, thus taking into account both energy saving and the reliability of the water supply system.

[0012] (2) When the target asynchronous motor shows a predicted abnormal result, the present invention implements a preventive optimization strategy. Through the dual judgment of deviation amount and definition deviation amount, and the duration of the second comparison condition and the duration of the result definition, it can avoid misjudging abnormalities due to short-term fluctuations and only perform optimization accurately on states with a clear abnormal trend, effectively preventing over-adjustment and reducing the extra losses caused by frequent adjustment of the water pump motor. It also has outstanding rapid response advantages. There is no need to wait for the deviation coefficient to break through the energy-saving control response deviation threshold. It can quickly intervene in the early stage of the problem by relying on the efficient logic of dual judgment. For example, before the peak water supply arrives or when the load just fluctuates, it can optimize the motor parameters in time, avoid the problem of unstable water pump pressure and soaring power consumption caused by response lag, and at the same time ensure the continuous and stable operation of the water circulation system, taking into account both energy saving and reliability.

[0013] (3) When the target asynchronous motor has abnormal results, the present invention executes an adaptive optimization strategy. By improving the baud rate and reducing the refresh time, the response lag is quickly resolved and the excitation filtering time is reduced, thereby reducing phase lag and ensuring timely adjustment. Deep adjustment compensates for response shortcomings. When communication optimization is ineffective, the encoder resolution and current loop bandwidth are increased to improve the response accuracy from the target asynchronous motor end. It is adapted to response-sensitive scenarios such as water pumps. Dynamic recovery and early warning ensure response stability. In the whole process, when the adjustment is effective, it continuously monitors and restores the parameters after meeting the recovery conditions. If it is ineffective, it triggers an early warning. This not only prevents repeated response and abnormal expansion, but also avoids over-adjustment, taking into account both response efficiency and system reliability. Attached Figure Description

[0014] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0015] Figure 1 This is a schematic diagram of a general asynchronous motor energy-saving control system provided in an embodiment of the present invention;

[0016] Figure 2 This is a flowchart of a general asynchronous motor energy-saving control method provided by an embodiment of the present invention;

[0017] Figure 3 This is a flowchart illustrating the process of determining the target asynchronous motor to implement preventive optimization strategies, provided in an embodiment of the present invention.

[0018] Figure 4 This is a flowchart illustrating the process of resolving anomalies in a target asynchronous motor, as provided in an embodiment of the present invention.

[0019] Figure 5 This is a hot water supply-energy consumption curve provided in an embodiment of the present invention. Detailed Implementation

[0020] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0021] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0022] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning.

[0023] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0024] This invention provides a universal asynchronous motor energy-saving control system, such as... Figure 1 The diagram shows a general-purpose asynchronous motor energy-saving control system. The system includes an energy-saving control response analysis module, an energy-saving control response optimization module, an energy-saving control response early warning module, and a database.

[0025] The database is used to store parameters involved in a general asynchronous motor energy-saving control system.

[0026] The energy-saving control response analysis module is used to mark the general asynchronous motor that drives the water pump circulation as the target asynchronous motor, monitor the energy-saving control response process of the target asynchronous motor, and analyze the degree of deviation of the energy-saving control response of the target asynchronous motor.

[0027] Analyzing the energy-saving control response process of the target asynchronous motor is technically essential. Firstly, the hot water circulation / supply system in the residential area relies on temperature control (controlling the motor to stop when the water temperature reaches a preset threshold), timer mode (controlling the motor to start and stop according to preset time periods), and frequency converter adjustment (reducing the power frequency to slow down during off-peak water usage and increasing the power frequency to speed up during peak water usage) for operational control. Furthermore, it requires a dynamic balance between the pump's head characteristics (head decreases linearly with increasing flow rate) and the pipe resistance characteristics of the water supply pipeline (head is proportional to the square of the flow rate when the valve opening is fixed). If the control response process of the target asynchronous motor is delayed (e.g., failure to respond promptly to the frequency converter's frequency increase command during peak water usage, or failure to trigger a protection response when the water supply pipeline pressure remains below the set pressure threshold of 0.05 MPa), it will directly cause water supply pressure fluctuations to exceed the allowable range (±0.02 MPa). (1) Inadequate hot water circulation and heating can trigger the over-temperature protection of the motor's built-in thermal relay (power cut-off when the temperature exceeds 120℃), disrupting the target asynchronous motor's 24-hour continuous and stable water supply function. (2) Timely response of the target asynchronous motor is the core technical path to achieve energy saving. When water usage is low, if the motor can quickly respond to the frequency reduction command, it can avoid the extra energy consumption generated by maintaining high-frequency operation. When the water temperature reaches the standard, if the motor can quickly respond to the shutdown command, it can eliminate idling energy consumption. Conversely, if there is a lag in the control response, even with energy-saving components such as frequency converters, the power consumption per unit time will still increase due to parameter adjustment delays. In summary, the analysis of the target asynchronous motor's energy-saving control response process is not only a technical prerequisite for ensuring the stable operation of the hot water circulation / supply system in the living area, but also a necessary technical means to ensure that the system achieves the preset energy-saving targets. Its technical value runs through the two core functions of stable system operation and energy-saving control.

[0028] Specifically, the process for determining whether the target asynchronous motor is implementing the energy-saving control response optimization strategy is as follows: the degree of energy-saving control response deviation of the target asynchronous motor is quantified by the energy-saving control response deviation coefficient of the target asynchronous motor, and the energy-saving control response deviation coefficient of the target asynchronous motor is compared with the energy-saving control response deviation threshold; if the target asynchronous motor exhibits a normal result, it is determined that the target asynchronous motor is not implementing the energy-saving control response optimization strategy.

[0029] If the target asynchronous motor does not exhibit normal results, it is determined that the target asynchronous motor will execute an energy-saving control response optimization strategy. The energy-saving control response optimization strategy includes a preventive optimization strategy, an adaptive optimization strategy, a motor-side optimization strategy, and a deep optimization strategy.

[0030] A normal result essentially indicates that the energy-saving control response of the target asynchronous motor is in a stable state with sufficient margin. This means that, under the condition that the energy-saving control response deviation coefficient of the target asynchronous motor is less than the energy-saving control response deviation threshold, the target asynchronous motor meets the first comparison condition. The first comparison condition means that the deviation between the energy-saving control response deviation threshold and the energy-saving control response deviation coefficient of the target asynchronous motor is greater than or equal to the defined deviation. In other words, the result of subtracting the energy-saving control response deviation coefficient from the energy-saving control response deviation threshold is greater than or equal to the defined deviation. This implies that there is still a sufficient gap between the current energy-saving control response deviation coefficient and the energy-saving control response deviation threshold; this gap is the margin. It indicates that the target asynchronous motor does not need to be adjusted through optimization strategies and can stably meet the energy-saving and rapid response requirements with the existing control parameters alone, without triggering anomalies due to minor fluctuations. The defined deviation is a quantitative standard for measuring whether the margin is sufficient, and its formulation needs to be based on the application scenario of the target asynchronous motor by relevant technical personnel.

[0031] The energy-saving control response deviation threshold refers to the maximum allowable range of the energy-saving control response deviation coefficient of the target asynchronous motor. First, the historical energy-saving control response deviation coefficients under normal operating conditions of the asynchronous motor are statistically analyzed, and the average value is calculated as the benchmark value. Then, redundancy is reserved according to system requirements. For example, if the energy-saving control response deviation coefficient exceeds the benchmark value by 15%, it will cause the energy consumption growth rate to be greater than the maximum allowable energy consumption growth rate or trigger protection (system shutdown when the pressure in the water supply pipeline is less than 0.05MPa, thermal relay de-energization when the winding temperature of the target asynchronous motor is greater than 120℃). In this case, the energy-saving control response deviation threshold is set to the benchmark value × 1.15. Finally, the energy-saving control response deviation threshold is verified by relevant technical personnel and stored in the database.

[0032] Specifically, the energy-saving control response deviation coefficient of the target asynchronous motor is analyzed as follows: The power factor, operating efficiency, slip, and total deviation of the parameter adjustment range of the target asynchronous motor are obtained. The power factor, the ratio of active power to apparent power during motor operation, is read from the power factor meter in the motor's distribution box. The operating efficiency, the ratio of mechanical power output to electrical power input, is measured using an efficiency analyzer. The instantaneous input power (calculated by multiplying voltage by current) and instantaneous output power (collected by a torque sensor at the motor shaft end) are also analyzed in real time. Instantaneous torque and speed sensors collect instantaneous speed data. Instantaneous output power is calculated using the formula: Instantaneous output power = Instantaneous torque × Instantaneous angular velocity. Instantaneous efficiency is then calculated using the formula: Instantaneous operating efficiency = (Instantaneous output power / Instantaneous input power) × 100%. Slip is the ratio of the difference between the synchronous speed and the instantaneous rotor speed of the target asynchronous motor to the synchronous speed. It is calculated by real-time acquisition of the rotor instantaneous speed n2 using an encoder (such as a photoelectric encoder), combined with the motor stator power supply frequency f and the number of pole pairs p, using the formula: Synchronous speed n1 = 60f / p. The total deviation of parameter adjustment range refers to the difference between the expected and actual adjustment ranges of each adjustable parameter of the motor (such as excitation current, speed, current loop bandwidth, etc.). The sum of the absolute values ​​of the degree difference is first determined by the control system by presetting the expected adjustment range of each parameter to be adjusted (e.g., in the energy-saving control strategy, the excitation current is increased from 5A to 8A with an expected range of 3A, and the speed is increased from 1500r / min to 1800r / min with an expected range of 300r / min). Simultaneously, the normalization reference for each parameter is determined (usually the rated value or expected adjustment range of the parameter is taken, such as the expected range of 3A for the excitation current and 300r / min for the speed). Then, the instantaneous actual value of the adjusted parameter is collected in real time by the corresponding sensor (e.g., the instantaneous excitation current after adjustment is 7.5A, collected by the current sensor). The actual amplitude is 2.5A; the speed sensor collects the instantaneous speed after adjustment as 1750 r / min, with an actual amplitude of 250 r / min); then, normalization is performed on each parameter, i.e., the absolute value of (expected amplitude - actual amplitude) is calculated and divided by the normalization reference of the parameter (e.g., the normalization deviation of the excitation current = |3A - 2.5A| ÷ 3A ≈ 0.167, the normalization deviation of the speed = |300 r / min - 250 r / min| ÷ 300 r / min ≈ 0.167); finally, the normalization deviations of all parameters are summed to obtain the total deviation of the instantaneous parameter adjustment amplitude (e.g., in this example, the total deviation = 0.167 + 0.167 = 0.334).

[0033] By quantifying the different degrees of influence of the proportional relationships between power factor and defined power factor, operating efficiency and defined operating efficiency, slip and defined slip, and total deviation of parameter adjustment range and total deviation of defined parameter adjustment range on the energy-saving control response deviation coefficient using metric weights, and then aggregating these influences, the energy-saving control response deviation coefficient of the target asynchronous motor is obtained. The specific expression is as follows:

[0034] ;

[0035] In the formula, ECCR is the energy-saving control response deviation coefficient of the target asynchronous motor, PF is the power factor of the target asynchronous motor, JPF is the preset defined power factor in the database, representing the lower limit of the power factor, EFF is the working efficiency of the target asynchronous motor, JEFF is the preset defined working efficiency in the database, representing the lower limit of the working efficiency, SR is the slip of the target asynchronous motor, JSR is the preset defined slip in the database, representing the upper limit of the slip, AD is the total deviation of the parameter adjustment range of the target asynchronous motor, JAD is the preset defined total deviation of the parameter adjustment range in the database, representing the upper limit of the total deviation of the parameter adjustment range, C1 is the preset power factor measurement weight in the database, C2 is the preset working efficiency measurement weight in the database, C3 is the preset slip measurement weight in the database, and C4 is the preset total deviation measurement weight of the parameter adjustment range in the database.

[0036] The power factor metric weight represents the proportion of the ratio between the power factor and the defined power factor in the energy-saving control response deviation coefficient; the efficiency metric weight represents the proportion of the ratio between the efficiency and the defined efficiency in the energy-saving control response deviation coefficient; the slip metric weight represents the proportion of the ratio between the slip rate and the defined slip rate in the energy-saving control response deviation coefficient; and the total deviation of parameter adjustment amplitude metric weight represents the proportion of the ratio between the total deviation of parameter adjustment amplitude and the total deviation of defined parameter adjustment amplitude in the energy-saving control response deviation coefficient. The values ​​of different metric weights are all between 0 and 1. For example, when the metric weight is equal to 0, it means that the ratio between the corresponding parameter (such as the power factor) and the defined parameter has no effect on the energy-saving control response deviation coefficient.

[0037] The power factor and efficiency of the target asynchronous motor are positively correlated. An increase in power factor means an increase in the proportion of active power and an improvement in the effective utilization of electrical energy, which in turn drives up the efficiency. Changes in slip directly affect power factor and efficiency. An increase in slip (such as when the rotor speed lags behind and the rotating magnetic field increases due to a sudden increase in load) will lead to a decrease in power factor, and at the same time, the increased rotor copper loss will reduce efficiency. The total deviation of parameter adjustment range reflects the execution accuracy of control commands. If this deviation increases (such as the actual adjustment range of excitation current being less than expected), it will cause abnormal fluctuations in slip, indirectly causing the power factor and efficiency to deviate from the ideal value. For example, insufficient adjustment of excitation current will increase slip, causing a decrease in power factor, which in turn will reduce efficiency, forming a chain reaction between parameters. These four parameters work together to affect the energy-saving control response deviation coefficient: when the power factor is low, the working efficiency decreases, the slip rate increases abnormally, or the total deviation of the parameter adjustment range increases, they will each, individually or in combination, cause the deviation between the actual energy-saving effect of the motor and the expected target to increase, thus increasing the energy-saving control response deviation coefficient. Therefore, they are the core variables that constitute and affect the energy-saving control response deviation coefficient, and their dynamic correlation directly determines the magnitude and trend of the energy-saving control response deviation coefficient.

[0038] The database pre-sets defined power factor, defined operating efficiency, defined slip, and defined total deviation of parameter adjustment range. These are determined based on the rated parameters of the target asynchronous motor and the application scenario requirements. In one example embodiment, the baseline values ​​of the motor's power factor, operating efficiency, and slip under rated operating conditions are first collected. The defined power factor is set to 90% of the baseline power factor (ensuring energy utilization meets standards when the power factor is not lower than this value), the defined operating efficiency is set to 90% of the baseline efficiency (ensuring efficiency is within the economic operating range), and the defined slip is set to 120% of the baseline slip (controlling the slip to not exceed this value to reduce additional losses). The defined total deviation of parameter adjustment range is then calculated based on the normal deviation range statistically determined from historical adjustment data, taking the highest value. The upper limit is set at 110% of the maximum value. The weights for power factor, operating efficiency, slip, and total deviation of parameter adjustment should be determined using the analytic hierarchy process (AHP) in conjunction with scenario priorities. For example, in energy-sensitive scenarios such as water circulation in residential areas, C2 is assigned the highest value (e.g., 0.35) because operating efficiency directly reflects energy consumption levels. Power factor is associated with power quality, so C1 is next (e.g., 0.3). Slip affects operational stability, so C3 is assigned a medium value (e.g., 0.2). Parameter adjustment deviation reflects control accuracy, so C4 is assigned the lowest value (e.g., 0.15). Furthermore, C1+C2+C3+C4=1 must be satisfied to ensure that the weights of each parameter's influence on the energy-saving control response deviation coefficient match the scenario requirements.

[0039] Furthermore, the target asynchronous motor implements an energy-saving control response optimization strategy. Specifically, if the target asynchronous motor exhibits a predicted abnormal result, the target asynchronous motor implements a preventative optimization strategy.

[0040] Predicting abnormal results refers to the situation where, under the condition that the energy-saving control response deviation coefficient of the target asynchronous motor is less than the energy-saving control response deviation threshold, the duration of the second comparison condition of the target asynchronous motor is greater than or equal to the duration of the result definition. The second comparison condition refers to the deviation between the energy-saving control response deviation threshold and the energy-saving control response deviation coefficient of the target asynchronous motor being less than the defined deviation.

[0041] The duration of the result definition is a time threshold set for the optimization process of the target asynchronous motor. Its core purpose is to filter out short-term deviations caused by minor load fluctuations and instantaneous sensor interference during motor operation, preventing the control system from triggering optimization adjustments due to brief abnormal signals, and reducing the impact of unnecessary adjustment actions on the stable operation of the motor. For example, in a domestic water circulation system, the water pump motor may experience a temporary deviation smaller than the defined deviation due to instantaneous changes in water usage. If this duration threshold is not set, the system will frequently initiate adjustments, leading to fluctuations in motor speed and current, increasing energy consumption and equipment wear. The determination of this duration needs to be combined with the application scenario and stable operation of the target asynchronous motor. Qualitative requirements: First, statistically analyze the typical duration of short-term fluctuations in the target asynchronous motor under normal operating conditions (e.g., in a residential water supply scenario, deviation fluctuations caused by instantaneous changes in water usage typically last 2-3 seconds). Then, define the duration of the result as slightly longer than this typical fluctuation duration (e.g., set to 5 seconds). Simultaneously, refer to the response cycle of the motor's adjustment action (ensuring the duration is sufficient to cover a complete fluctuation cycle to avoid misjudgment). Finally, verify through actual operation testing that once this duration is set, it can effectively filter false abnormal signals caused by short-term fluctuations without delaying the identification of true continuous abnormal trends due to excessively long durations, thus ensuring the accuracy of energy-saving control and the stability of motor operation.

[0042] In determining the duration of the result definition, the core function of the energy-saving control response of the target asynchronous motor (such as the motor driving the water pump in the living area water circulation system) is to serve as a time benchmark to filter short-term fluctuations and ensure accurate judgment, so as to avoid the control system misjudging the motor's operating status due to instantaneous interference or short-term deviation.

[0043] If the duration of the second comparison condition for the target asynchronous motor is less than the duration defined by the result, it indicates that the current deviation is a short-term phenomenon caused by minor load fluctuations (such as instantaneous water usage changes) or brief sensor interference during the operation of the target asynchronous motor. It has not formed a stable abnormal trend and there is no need to initiate an optimization adjustment strategy. At this time, it is only necessary to continuously monitor the energy-saving control response process of the target asynchronous motor and track the changes in core parameters such as deviation coefficient, power factor, and slip rate in real time. If the duration of the second comparison condition reaches or exceeds the duration defined by the result in the future, then the preset logic will be used to determine whether to perform adjustment. This can further avoid unnecessary adjustment actions triggered by short-term fluctuations, reduce frequent changes in motor speed and current, and ensure stable water supply pressure in the water circulation system and economical energy consumption of the motor.

[0044] If the target asynchronous motor exhibits abnormal results, the target asynchronous motor will execute an adaptive optimization strategy.

[0045] An abnormal result refers to a situation where the duration of the energy-saving control response deviation coefficient of the target asynchronous motor being greater than or equal to the energy-saving control response deviation threshold is greater than or equal to the duration of the result definition.

[0046] If the duration of the energy-saving control response deviation coefficient of the target asynchronous motor being greater than or equal to the energy-saving control response deviation threshold is less than the duration defined by the result, it indicates that no stable abnormal trend has been formed at present, and there is no need to start the optimization adjustment strategy. Continuously monitor the energy-saving control response process of the target asynchronous motor. This can further avoid unnecessary adjustment actions triggered by short-term fluctuations, reduce frequent changes in motor speed and current, and ensure the stability of water supply pressure in the water circulation system and the economical energy consumption of motor operation.

[0047] Furthermore, the preventive optimization strategy specifically includes a preventive optimization part and a condition judgment part; the preventive optimization part refers to increasing the data acquisition frequency of the target asynchronous motor based on the energy-saving control response deviation coefficient of the current target asynchronous motor, obtaining the transient change gradient of each monitoring data, and if the transient change gradient of each monitoring data belongs to the corresponding reference transient change gradient interval, then the transient change gradient of each monitoring data is continuously obtained.

[0048] The data acquisition frequency of the target asynchronous motor is increased by establishing a pre-defined correspondence between the energy-saving control response deviation coefficient and the data acquisition frequency increment. For example, the energy-saving control response deviation coefficient is first divided into multiple intervals (e.g., 0-0.3 for low deviation, 0.3-0.6 for medium deviation, and 0.6-1.0 for high deviation), and different acquisition frequencies are set accordingly (the data acquisition frequency increment is 5 times / second for medium deviation). The larger the energy-saving control response deviation coefficient, the higher the data acquisition frequency increment to more accurately capture transient data changes. This correspondence needs to be established in conjunction with the motor's historical operating data: statistically analyzing the severity of data fluctuations under different energy-saving control response deviation coefficients (e.g., frequent transient parameter changes under high deviation). The principle is to obtain gradient data in a timely manner while avoiding excessive acquisition that increases the system load. The correspondence between each deviation interval and the data acquisition frequency increment is determined and then solidified into the database after verification through multiple operating condition tests.

[0049] Monitoring data refers to the core parameters related to the energy-saving control response of the target asynchronous motor, including but not limited to the power factor, stator current, stator voltage, and rotor speed of the target asynchronous motor. These data directly reflect the real-time operating status and energy-saving control effect of the motor. The transient change gradient refers to the rate of change of the above monitoring data per unit time (e.g., if the power factor drops from 0.85 to 0.82 in 1 second, its transient change gradient is -0.03 / second), used to quantify the severity of short-term fluctuations in the data. The corresponding reference transient change gradient range is a preset allowable change rate range, that is, the rate of change of each monitoring data per unit time must not exceed this range (e.g., the transient change gradient of the power factor is set to -0.05 / second to 0.05 / second). If the transient change gradient of each monitoring data belongs to the corresponding reference transient change gradient range, it indicates that the motor operating status is stable and without drastic fluctuations, and no adjustment of the optimization strategy is required. Therefore, the transient change gradient is continuously acquired at the current frequency for dynamic monitoring.

[0050] If the transient change gradient of a certain monitoring data does not belong to the corresponding defined transient change gradient, the initial excitation current of the target asynchronous motor is obtained, and the initial excitation current of the target asynchronous motor is increased according to the preset growth rate in the database. In each adjustment process, only the initial excitation current is increased by a preset growth rate. That is, the excitation current increment of a single adjustment action is strictly equal to the single preset growth rate value in the database. Multiple amplitude superposition adjustments are not performed. The core purpose is to initially alleviate parameter fluctuations through small and precise adjustments, and avoid new operational instability caused by excessive adjustment amplitude. For example, a sudden increase in excitation current may cause a sudden increase in motor speed, which in turn causes a sudden increase in water supply pipeline pressure, affecting the water use experience of the water circulation system in the living area.

[0051] The condition determination section refers to the process where, after the preventive optimization section is completed, if the target asynchronous motor exhibits data recovery conditions, the excitation current of the current target asynchronous motor is restored to the initial excitation current. If the target asynchronous motor does not exhibit data recovery conditions, the excitation current of the current target asynchronous motor is marked as the initial excitation current of the target asynchronous motor, and the energy-saving control response process of the target asynchronous motor continues to be monitored.

[0052] Data recovery conditions refer to the duration of a normal result being greater than or equal to the duration of the result definition. This is to avoid blindly restoring the control parameters of the target asynchronous motor (such as the motor driving the water pump in the living area water circulation system). If only a brief appearance of a normal result is used as the basis for recovery, false normal states caused by instantaneous load fluctuations (such as a short-term increase in power factor due to a temporary reduction in water consumption in the living area) and occasional sensor interference (such as a brief normalization of slip rate due to instantaneous voltage stabilization) may be misjudged as stable normal operating states. In this case, blindly restoring parameters (such as restoring the excitation current and data acquisition frequency to their initial values ​​before optimization) will cause the motor to exhibit energy-saving control response deviations again after the load recovers or the interference disappears, thereby triggering a new round of optimization and adjustment, forming an iterative cycle of recovery-deviation-re-optimization.

[0053] When the excitation current of the target asynchronous motor reaches the defined excitation current (i.e., the maximum excitation current stored in the database), or when the data acquisition frequency reaches the defined data acquisition frequency (i.e., the maximum data acquisition frequency stored in the database), the preventive optimization strategy is stopped, and a predictive optimization warning is issued. The warning is communicated via signals (such as system background log markers or control interface indicator lights) to indicate that the current preventive optimization has reached the preset adjustment boundary. Continuing to perform the existing optimization actions (such as further increasing the excitation current or increasing the acquisition frequency) may exceed the safe operating range of the motor or lead to a waste of system resources. Furthermore, the current optimization effect is close to its upper limit, and a subsequent evaluation is needed to determine whether the optimization strategy needs to be adjusted (such as updating the defined value or switching to other optimization modes). If the target asynchronous motor exhibits abnormal results during the execution of the preventive optimization strategy, the preventive optimization strategy is stopped, and an adaptive optimization strategy is executed.

[0054] The essence of preventative optimization strategies is to avoid the target asynchronous motor's energy-saving control response falling into a vicious cycle of uncontrolled deviation, soaring energy consumption, and system instability. If there is a lack of optimization actions such as adjusting the acquisition frequency according to the energy-saving control response deviation coefficient and slightly adjusting the excitation current based on the transient gradient, the small initial response deviation of the target asynchronous motor will continue to accumulate, eventually leading to a significant deviation of the energy-saving effect from expectations. Without conditional judgment and data recovery rules, blindly restoring parameters can easily cause repeated fluctuations in the response, damaging operational stability. Boundary stop and early warning mechanisms directly avoid the disruption of response balance caused by excessive excitation current or acquisition frequency, and can also prevent the response failure from continuously expanding energy loss.

[0055] Figure 3 This is a flowchart for judging the execution of a preventive optimization strategy for a target asynchronous motor, provided by an embodiment of the present invention. It monitors the energy-saving control response process of the target asynchronous motor, quantifies the degree of energy-saving control response deviation of the target asynchronous motor through the energy-saving control response deviation coefficient, and compares the energy-saving control response deviation coefficient of the target asynchronous motor with the energy-saving control response deviation threshold. If the target asynchronous motor exhibits a normal result, it is determined that the target asynchronous motor does not execute the energy-saving control response optimization strategy. The energy-saving control response process of the target asynchronous motor is continuously monitored. If the target asynchronous motor does not exhibit a normal result, it is determined whether the target asynchronous motor has an abnormal result. If so, the preventive optimization strategy is executed.

[0056] Figure 4 This is a flowchart of a target asynchronous motor handling abnormal results provided by an embodiment of the present invention. After the adaptive optimization strategy is executed, if the target asynchronous motor still exhibits abnormal results, the target asynchronous motor executes a motor-side optimization strategy. If the target asynchronous motor does not exhibit abnormal results, the energy-saving control response process of the target asynchronous motor is continuously monitored. If the target asynchronous motor exhibits data recovery conditions, the control parameters of the target asynchronous motor are restored to the values ​​corresponding to those before the execution of the adaptive optimization strategy. After the execution of the motor-side optimization strategy, if the target asynchronous motor still exhibits abnormal results, the target asynchronous motor executes a deep optimization strategy. If the target asynchronous motor does not exhibit abnormal results, the energy-saving control response process of the target asynchronous motor is continuously monitored. If the target asynchronous motor exhibits data recovery conditions, the control parameters of the target asynchronous motor are restored to the values ​​corresponding to those before the execution of the motor-side optimization strategy. After the execution of the deep optimization strategy, if the target asynchronous motor still exhibits abnormal results, a strategy abnormality warning is issued. If the target asynchronous motor does not exhibit abnormal results, the energy-saving control response process of the target asynchronous motor is continuously monitored. If the target asynchronous motor exhibits data recovery conditions, the control parameters of the target asynchronous motor are restored to the values ​​corresponding to those before the execution of the deep optimization strategy.

[0057] The energy-saving control response optimization module is used to determine whether the target asynchronous motor is executing the energy-saving control response optimization strategy based on the degree of deviation of the target asynchronous motor's energy-saving control response. If it is determined that the target asynchronous motor is executing the energy-saving control response optimization strategy, the module monitors the process of the target asynchronous motor executing the energy-saving control response optimization strategy; otherwise, it continuously monitors the energy-saving control response process of the target asynchronous motor.

[0058] Specifically, the adaptive optimization strategy refers to: setting the baud rate between the edge controller and the target asynchronous motor inverter to the highest stable value; reducing the data refresh time of the target asynchronous motor based on the current energy-saving control response deviation coefficient of the target asynchronous motor; increasing the acquisition frequency of the current loop, speed loop, and pressure loop of the target asynchronous motor based on the current energy-saving control response deviation coefficient of the target asynchronous motor; and adjusting the filtering time constants corresponding to the current loop, speed loop, and pressure loop.

[0059] To set the baud rate between the edge controller and the target asynchronous motor inverter to the highest stable value, communication tests must be conducted first to screen the baud rate. The baud rate should be gradually increased (e.g., from 9600bps to 115200bps). At the same time, the data transmission error rate should be monitored, and the baud rate with a bit error rate of 0 and the minimum communication delay should be taken as the highest stable value to ensure efficient data interaction between the two without packet loss. Based on the current adjustment data refresh time, loop parameter acquisition frequency, and filtering time constant of the energy-saving control response deviation coefficient, it is necessary to rely on different pre-set correspondences in the database. For example, the energy-saving control response deviation coefficient is divided into different ranges such as low (e.g., 0-0.3), medium (e.g., 0.3-0.6), and high (e.g., 0.6-1.0), and different adjustment parameter values ​​are set accordingly. The data refresh time decreases as the deviation coefficient increases (e.g., the data refresh time for the high range decreases by 500ms), because the larger the energy-saving control response deviation coefficient, the more frequently the data needs to be updated to capture response changes. The acquisition frequency of the current loop, speed loop, and pressure loop increases as the energy-saving control response deviation coefficient increases (e.g., the acquisition frequency of the current loop, speed loop, and pressure loop all increase by 10Hz for the low range), ensuring accurate tracking of the dynamics of each loop. The filtering time constant decreases as the energy-saving control response deviation coefficient increases (e.g., the filtering time constant decreases by 200ms for the low range), reducing filtering delay to quickly respond to deviation correction. Different correspondences need to be formulated in conjunction with the historical operating data of the motor, and the optimal effect of parameter adjustment under different energy-saving control response deviation coefficients should be statistically analyzed. The parameter correspondences should be determined based on the principles of timely data updates, accurate loop control and no high-frequency oscillations. After verification by multi-condition testing, the correspondences are solidified. During adjustment, the edge controller reads the energy-saving control response deviation coefficient in real time, queries the corresponding relationships stored in the database, and outputs the target parameter value, which is then synchronously sent to the frequency converter and loop control module for execution.

[0060] Based on the energy-saving control response deviation coefficient of the target asynchronous motor, the excitation current of the target asynchronous motor is increased, and the excitation filtering time is reduced. The adjustment needs to rely on the pre-set correspondence between the energy-saving control response deviation coefficient and the excitation parameter in the database. For example, the energy-saving control response deviation coefficient is first divided into different ranges: low (e.g., 0-0.3), medium (0.3-0.6), and high (0.6-1.0). The single increase of the excitation current and the required reduction of the excitation filtering time are set accordingly. The larger the deviation coefficient, the larger the single increase of the excitation current (e.g., 0.2A increase in the excitation current in the low range) to avoid excessive amplitude leading to motor magnetic circuit saturation. The excitation filtering time decreases as the deviation coefficient increases (e.g., 30ms reduction in the excitation filtering time in the low range). The larger the energy-saving control response deviation coefficient, the less the filtering delay needs to be to ensure that the excitation current adjustment can quickly respond to the correction of energy-saving control deviation.

[0061] After the adaptive optimization strategy is executed, if the target asynchronous motor still exhibits abnormal results, the target asynchronous motor will execute the motor-side optimization strategy. If the target asynchronous motor does not exhibit abnormal results, the energy-saving control response process of the target asynchronous motor will be continuously monitored. If the target asynchronous motor exhibits data recovery conditions, the control parameters of the target asynchronous motor will be restored to the values ​​corresponding to those before the adaptive optimization strategy was executed. Control parameters refer to the key parameters of the target asynchronous motor in the energy-saving control process for achieving operating state adjustment and response deviation correction, such as excitation-related parameters, such as the initial excitation current of the target asynchronous motor (e.g., set to 5A before optimization, increased to 6.5A during optimization, and adjusted back to 5A during recovery) and the excitation filtering duration (set to 50ms before optimization, shortened to 30ms during optimization, and reset to 50ms during recovery).

[0062] Setting the baud rate of the edge controller and inverter to the highest stable value is primarily aimed at addressing the pain point of slow energy-saving control response caused by data transmission lag at the communication layer. If the baud rate is too low, the interaction between motor operating data (such as current and speed) and control commands will be delayed, resulting in untimely feedback of the energy-saving control response deviation coefficient and delayed execution of optimization strategies. The highest stable value can maximize data interaction efficiency without packet loss, laying a foundation for rapid response in subsequent adjustments. Based on this, reducing the data refresh time and increasing the acquisition frequency of the current loop, according to the energy-saving control response deviation coefficient, is to further shorten the parameter monitoring cycle, allowing the system to capture deviation changes (such as current loop fluctuations) more quickly and avoid missing the opportunity to correct deviations due to long monitoring intervals. Adjusting the filter time constant of each loop and increasing the excitation current while reducing the excitation filter time are optimizations for untimely deviation correction. The larger the energy-saving control response deviation coefficient, the more necessary it is to reduce the filter delay to quickly output the adjustment signal and alleviate the deviation through excitation current adjustment. All adjustments directly address the core issues of slow response and delayed correction, rather than adding unnecessary steps. Each operation serves to improve the timeliness and accuracy of the energy-saving control response, ensuring that the motor completes correction before the deviation expands, thus guaranteeing energy-saving effects and stable operation.

[0063] If the target asynchronous motor still exhibits abnormal results after the adaptive optimization strategy is executed, it indicates that the previous adjustments to the communication layer between the edge controller and the inverter, as well as the parameter monitoring layer, are no longer sufficient to solve the current problem. The core issue is not the lag in the communication interaction or parameter monitoring process, but rather a problem on the target asynchronous motor itself that causes the energy-saving control response to be slow. In this case, it is necessary to switch to the motor-side optimization strategy and address the core issue of slow motor-side response by specifically adjusting the relevant parameters of the motor itself, thereby eliminating the abnormal results and restoring the normal response state of the motor's energy-saving control.

[0064] Specifically, the motor-side optimization strategy refers to: based on the energy-saving control response deviation coefficient of the current target asynchronous motor, increasing the encoder resolution and current loop bandwidth of the target asynchronous motor; storing the correspondence between the energy-saving control response deviation coefficient and the encoder resolution increment, and the correspondence between the energy-saving control response deviation coefficient and the current loop bandwidth increment in the database; querying the database, adding the encoder resolution increment to the current encoder resolution, and adding the current loop bandwidth increment to the current loop bandwidth, yields the increased encoder resolution.

[0065] The correspondence between the energy-saving control response deviation coefficient and the encoder resolution increment, as well as the correspondence between the energy-saving control response deviation coefficient and the current loop bandwidth increment, needs to be completed based on the motor's operating characteristics and energy-saving requirements. This involves collecting historical data, simulating different deviation scenarios under all motor operating conditions (no-load, half-load, full-load), recording the data on the resolution increment of each deviation coefficient and the improvement in speed error, as well as the bandwidth increment and the efficiency of current correction. Then, the energy-saving control response deviation coefficient intervals are divided, and the deviation coefficients are further divided into several intervals based on data patterns. Balancing adaptability and complexity, the increment is determined, prioritizing the minimum increment while achieving the desired effect. This ensures that the error and correction time reach the threshold. Finally, the relationship is verified and solidified, imported into the system for testing, iteratively optimizing redundancy or oscillation issues. After multiple rounds of full-condition verification, the relationship is solidified into the database for subsequent querying and retrieval.

[0066] After the motor-side optimization strategy is executed, if the target asynchronous motor still shows abnormal results, the target asynchronous motor will execute a deep optimization strategy. If the target asynchronous motor does not show abnormal results, the energy-saving control response process of the target asynchronous motor will be continuously monitored. If the target asynchronous motor shows data recovery conditions, the control parameters of the target asynchronous motor will be restored to the values ​​corresponding to those before the execution of the motor-side optimization strategy.

[0067] The core necessity of increasing encoder resolution and current loop bandwidth based on the energy-saving control response deviation coefficient in the motor-side optimization strategy lies in directly addressing the key issues affecting the energy-saving control response on the motor side: insufficient encoder resolution leads to low rotor speed detection accuracy, resulting in a large deviation between speed feedback and actual operation, thus affecting the accuracy of energy-saving regulation; a small current loop bandwidth reduces the current response speed to load changes, causing a lag in current deviation correction. Both of these factors contribute to inefficient motor energy-saving control response. When adjusting based on the deviation coefficient, the larger the deviation, the more necessary it is to increase resolution to reduce speed detection error and increase bandwidth to accelerate current correction. Moreover, the adjustment relies on a preset correspondence, optimizing only the core parameters on the motor side, without adding unnecessary steps. Each operation serves to solve the shortcomings in motor-side response, avoiding the deterioration of response problems caused by improper parameter adaptation, and ensuring that the energy-saving control response accurately matches the actual operating state of the motor.

[0068] Furthermore, the deep optimization strategy specifically refers to: adjusting the encoder resolution of the target asynchronous motor to the maximum encoder resolution preset in the database, and adjusting the current loop bandwidth of the target asynchronous motor to the maximum current loop bandwidth preset in the database.

[0069] Based on the energy-saving control response deviation coefficient of the current target asynchronous motor, the energy-saving control response deviation threshold is reduced by dividing the energy-saving control response deviation threshold by the energy-saving control response deviation coefficient, and then multiplying the result by the energy-saving control response deviation threshold to complete the energy-saving control response deviation threshold.

[0070] After the deep optimization strategy is executed, if the target asynchronous motor still exhibits abnormal results, a strategy anomaly warning will be issued. If the target asynchronous motor does not exhibit abnormal results, the energy-saving control response process of the target asynchronous motor will be continuously monitored. If the target asynchronous motor shows data recovery conditions, the control parameters of the target asynchronous motor will be restored to the values ​​corresponding to those before the deep optimization strategy was executed. The strategy anomaly warning refers to two aspects: First, pushing red warning information to the management terminal of the operation and maintenance personnel. The red warning information includes the text message "Abnormalities still exist after deep optimization, manual intervention is required," which facilitates on-site operation and maintenance personnel to detect them in a timely manner. Second, sending warning data to the remote monitoring platform (via Ethernet or 4G / 5G module) and simultaneously pushing it to the management terminal of the operation and maintenance personnel (such as mobile APP, computer client) to avoid missing warnings when no one is on site. Finally, the system automatically stores the warning information and related data (motor operation log, optimization strategy execution log) in the database to provide data support for subsequent analysis of the root cause of the anomaly (such as whether there is a motor hardware failure or whether the threshold setting is reasonable).

[0071] When abnormal results are still observed after motor-side optimization, a deep optimization strategy is executed. The core necessity lies in the fact that the previous incremental optimization, which adjusted the encoder resolution and current loop bandwidth based on the energy-saving control response deviation coefficient, failed to completely solve the motor-side response problem. It is necessary to adjust both to the maximum value preset in the database to maximize the speed detection accuracy and current response speed, thus breaking through the bottleneck of incremental adjustment. Monitoring and parameter recovery when no abnormal results are observed are to avoid resource waste caused by over-optimization. On this basis, the energy-saving control response deviation threshold is reduced based on the energy-saving control response deviation coefficient because the motor control accuracy has been improved after deep optimization, and a stricter threshold needs to be matched to capture small deviations in advance and prevent the deviation from accumulating and expanding.

[0072] The energy-saving control response early warning module is used to analyze whether there are abnormal early warning conditions for the asynchronous motor during the process of implementing energy-saving control response optimization strategies based on the monitoring target asynchronous motor, thereby determining whether to issue an early warning for the energy-saving control response capability of the target asynchronous motor.

[0073] Furthermore, an early warning is issued regarding the energy-saving control response capability of the target asynchronous motor. The specific judgment process is as follows:

[0074] An abnormal warning condition refers to the duration for which the energy-saving control response deviation coefficient of the target asynchronous motor is greater than or equal to the energy-saving control response deviation threshold, which is greater than or equal to the result definition duration, or the duration for which any control parameter of the target asynchronous motor exceeds the corresponding allowable range, which is greater than or equal to the result definition duration. If an abnormal warning condition exists, it is determined that an warning will be issued for the energy-saving control response capability of the target asynchronous motor. If no abnormal warning condition exists, it is determined that no warning will be issued for the energy-saving control response capability of the target asynchronous motor. Among them, issuing a warning for the energy-saving control response capability means transmitting the warning information through a remote path: the warning data is pushed to the monitoring platform and the operation and maintenance personnel management terminal (mobile APP / computer client) through Ethernet or wireless communication module, clearly stating the reason for the warning, such as the current loop bandwidth exceeding the allowable range (currently 280Hz, allowable range 50-250Hz), which has lasted for 4 seconds (the result definition duration is 3 seconds), so as to facilitate the on-site operation and maintenance personnel to quickly locate the problem, and attaching a screenshot of the abnormal data to avoid delays in handling when no one is on site.

[0075] On the other hand, the present invention provides a universal asynchronous motor energy-saving control method, such as... Figure 2 The diagram shows a flowchart of a universal asynchronous motor energy-saving control method provided by an embodiment of the present invention. The method includes: marking the universal asynchronous motor driving the water pump circulation as the target asynchronous motor; monitoring the energy-saving control response process of the target asynchronous motor; analyzing the degree of deviation in the energy-saving control response of the target asynchronous motor; based on the degree of deviation in the energy-saving control response of the target asynchronous motor, determining whether the target asynchronous motor executes an energy-saving control response optimization strategy; if it is determined that the target asynchronous motor executes the energy-saving control response optimization strategy, then monitoring the process of the target asynchronous motor executing the energy-saving control response optimization strategy; otherwise, continuously monitoring the energy-saving control response process of the target asynchronous motor; and based on the monitoring process of the target asynchronous motor executing the energy-saving control response optimization strategy, analyzing whether there are abnormal early warning conditions for the asynchronous motor, thereby determining whether to issue an early warning for the energy-saving control response capability of the target asynchronous motor.

[0076] Figure 5 This is a hot water supply-energy consumption curve provided in an embodiment of the invention. The horizontal axis represents the hot water supply in cubic meters (m³), and the vertical axis represents energy consumption in kilowatt-hours (kWh). The dashed line in the graph corresponds to the energy consumption change curve before the energy-saving control response of the target asynchronous motor is optimized, and the solid line corresponds to the energy consumption change curve after the energy-saving control response is optimized. The trend of the curves clearly shows that within the same hot water supply range, the energy consumption value after the energy-saving control response optimization is lower than the energy consumption value before optimization, intuitively demonstrating the effectiveness of the energy-saving control response optimization strategy in reducing motor energy consumption.

[0077] It should be understood that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. A and B can be singular or plural. Additionally, the character " / " in this article generally indicates an "or" relationship between the preceding and following related objects, but it can also represent an "and / or" relationship. Please refer to the context for a more accurate understanding.

[0078] It should be understood that, in various embodiments of the present invention, the order of the above-mentioned process numbers does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0079] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0080] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the devices, apparatuses, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0081] In the embodiments provided by this invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0082] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0083] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0084] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A universal asynchronous motor energy saving control system, characterized in that, The system comprises: an energy-saving control response analysis module, configured to mark a general asynchronous motor driving a water pump as a target asynchronous motor, monitor an energy-saving control response process of the target asynchronous motor, and analyze a deviation degree of the energy-saving control response of the target asynchronous motor; an energy-saving control response optimization module, configured to judge whether the target asynchronous motor executes an energy-saving control response optimization strategy based on the deviation degree of the energy-saving control response of the target asynchronous motor, monitor a process in which the target asynchronous motor executes the energy-saving control response optimization strategy if it is judged that the target asynchronous motor executes the energy-saving control response optimization strategy, and otherwise, continuously monitor the energy-saving control response process of the target asynchronous motor; an energy-saving control response early warning module, configured to analyze whether an asynchronous motor has an abnormal early warning condition based on the process in which the target asynchronous motor executes the energy-saving control response optimization strategy, and thus judge whether to give a warning to the energy-saving control response capability of the target asynchronous motor; the judgment of whether the target asynchronous motor executes the energy-saving control response optimization strategy comprises: quantifying the deviation degree of the energy-saving control response of the target asynchronous motor through an energy-saving control response deviation coefficient of the target asynchronous motor, and comparing the energy-saving control response deviation coefficient of the target asynchronous motor with an energy-saving control response deviation threshold value; if the target asynchronous motor presents a normal result, it is judged that the target asynchronous motor does not execute the energy-saving control response optimization strategy; if the target asynchronous motor does not present the normal result, it is judged that the target asynchronous motor executes the energy-saving control response optimization strategy, and the energy-saving control response optimization strategy comprises a preventive optimization strategy, an adaptive optimization strategy, a motor side optimization strategy, and a deep optimization strategy; the normal result refers to that, under the condition that the energy-saving control response deviation coefficient of the target asynchronous motor is less than the energy-saving control response deviation threshold value, the target asynchronous motor has a first comparison condition, and the first comparison condition refers to that a deviation amount between the energy-saving control response deviation threshold value and the energy-saving control response deviation coefficient of the target asynchronous motor is greater than or equal to a defined deviation amount; the energy-saving control response deviation threshold value refers to a maximum value of an allowable range of the energy-saving control response deviation coefficient of the target asynchronous motor.

2. The universal asynchronous motor energy saving control system of claim 1, wherein, the execution of the energy-saving control response optimization strategy by the target asynchronous motor comprises: if the target asynchronous motor presents a predicted abnormal result, the target asynchronous motor executes the preventive optimization strategy; the predicted abnormal result refers to that, under the condition that the energy-saving control response deviation coefficient of the target asynchronous motor is less than the energy-saving control response deviation threshold value, a continuous time length of a second comparison condition of the target asynchronous motor is greater than or equal to a result defined continuous time length, and the second comparison condition refers to that the deviation amount between the energy-saving control response deviation threshold value and the energy-saving control response deviation coefficient of the target asynchronous motor is less than the defined deviation amount; if the target asynchronous motor presents an abnormal result, the target asynchronous motor executes the adaptive optimization strategy; the abnormal result refers to that the continuous time length of the energy-saving control response deviation coefficient of the target asynchronous motor being greater than or equal to the energy-saving control response deviation threshold value is greater than or equal to the result defined continuous time length.

3. The universal asynchronous motor energy saving control system of claim 2, wherein, the energy-saving control response deviation coefficient of the target asynchronous motor comprises: acquire a power factor of the target asynchronous motor, an operating efficiency of the target asynchronous motor, a slip ratio of the target asynchronous motor, and a total deviation of a parameter adjustment range of the target asynchronous motor; quantify different influence degrees of the energy-saving control response deviation coefficient by measuring weights respectively quantifying proportional relationships between the power factor and a defined power factor, between the operating efficiency and a defined operating efficiency, between the slip ratio and a defined slip ratio, and between the total deviation of the parameter adjustment range and a defined total deviation of the parameter adjustment range, and converging the influence degrees to obtain the energy-saving control response deviation coefficient of the target asynchronous motor.

4. The universal asynchronous motor energy saving control system of claim 2, wherein, The preventive optimization strategy specifically comprises a preventive optimization part and a condition judgment part. The preventive optimization part refers to increasing a data acquisition frequency of the target asynchronous motor based on the energy-saving control response deviation coefficient of the current target asynchronous motor, acquiring transient change gradients of the monitoring data, and continuously acquiring the transient change gradients of the monitoring data if the transient change gradients of the monitoring data all belong to corresponding reference transient change gradient intervals. If the transient change gradient of a certain monitoring data does not belong to the corresponding defined transient change gradient, the initial excitation current of the target asynchronous motor is acquired, and the initial excitation current of the target asynchronous motor is increased by a preset increase amplitude. The condition judgment part refers to, after the preventive optimization part is executed, if the target asynchronous motor presents a data recovery condition, restoring the excitation current of the current target asynchronous motor to the initial excitation current, if the target asynchronous motor does not present the data recovery condition, marking the excitation current of the current target asynchronous motor as the initial excitation current of the target asynchronous motor, and continuing to monitor the energy-saving control response process of the target asynchronous motor. The data recovery condition refers to that a continuous time length of the normal result is greater than or equal to a result defined continuous time length. When the excitation current of the target asynchronous motor reaches a defined excitation current or the data acquisition frequency reaches a defined data acquisition frequency, the preventive optimization strategy is stopped, a predictive optimization warning is performed, and if an abnormal result of the target asynchronous motor occurs during the execution of the preventive optimization strategy, the preventive optimization strategy is stopped and an adaptive optimization strategy is executed.

5. The universal asynchronous motor energy saving control system of claim 4, wherein, The adaptive optimization strategy specifically refers to: setting a baud rate between the edge controller and the frequency converter of the target asynchronous motor to a highest stable value, decreasing a data refresh time length of the target asynchronous motor based on the energy-saving control response deviation coefficient of the current target asynchronous motor, increasing acquisition frequencies of a current loop, a speed loop and a pressure loop of the target asynchronous motor based on the energy-saving control response deviation coefficient of the current target asynchronous motor, and adjusting filter time constants corresponding to the current loop, the speed loop and the pressure loop; increasing the excitation current of the target asynchronous motor based on the energy-saving control response deviation coefficient of the current target asynchronous motor, and decreasing an excitation filter time length. After the adaptive optimization strategy is executed, if the target asynchronous motor still presents abnormal results, the target asynchronous motor executes the motor-side optimization strategy; if the target asynchronous motor does not present abnormal results, the energy-saving control response process of the target asynchronous motor is continuously monitored; if the target asynchronous motor presents data recovery conditions, the control parameters of the target asynchronous motor are restored to the corresponding values before the execution of the adaptive optimization strategy.

6. The universal asynchronous motor energy saving control system of claim 5, wherein, The motor-side optimization strategy specifically refers to: increasing the encoder resolution and the current loop bandwidth of the target asynchronous motor based on the energy-saving control response deviation coefficient of the current target asynchronous motor; After the motor-side optimization strategy is executed, if the target asynchronous motor still presents abnormal results, the target asynchronous motor executes the deep optimization strategy; if the target asynchronous motor does not present abnormal results, the energy-saving control response process of the target asynchronous motor is continuously monitored; if the target asynchronous motor presents data recovery conditions, the control parameters of the target asynchronous motor are restored to the corresponding values before the execution of the motor-side optimization strategy.

7. The universal asynchronous motor energy saving control system of claim 6, wherein, The deep optimization strategy specifically refers to: adjusting the encoder resolution of the target asynchronous motor to the maximum encoder resolution, and adjusting the current loop bandwidth of the target asynchronous motor to the maximum current loop bandwidth; decreasing the energy-saving control response deviation threshold based on the energy-saving control response deviation coefficient of the current target asynchronous motor; After the deep optimization strategy is executed, if the target asynchronous motor still presents abnormal results, a strategy abnormality warning is given; if the target asynchronous motor does not present abnormal results, the energy-saving control response process of the target asynchronous motor is continuously monitored; if the target asynchronous motor presents data recovery conditions, the control parameters of the target asynchronous motor are restored to the corresponding values before the execution of the deep optimization strategy.

8. The universal asynchronous motor energy-saving control system according to claim 1, further comprising judging whether to give a warning to the energy-saving control response capability of the target asynchronous motor, and the specific judging process is: the abnormality warning condition refers to that the duration for which the energy-saving control response deviation coefficient of the target asynchronous motor is greater than or equal to the energy-saving control response deviation threshold is greater than or equal to the result defined duration, or any control parameter of the target asynchronous motor exceeds the corresponding allowable range; if the abnormality warning condition exists, it is judged to give a warning to the energy-saving control response capability of the target asynchronous motor; if the abnormality warning condition does not exist, it is judged not to give a warning to the energy-saving control response capability of the target asynchronous motor.

9. A general-purpose asynchronous motor energy-saving control method applied to the general-purpose asynchronous motor energy-saving control system of any one of claims 1-8, characterized in that: including: marking the universal asynchronous motor driving the water pump as the target asynchronous motor, monitoring the energy-saving control response process of the target asynchronous motor, and analyzing the energy-saving control response deviation degree of the target asynchronous motor; judging whether the target asynchronous motor executes the energy-saving control response optimization strategy based on the energy-saving control response deviation degree of the target asynchronous motor; if it is judged that the target asynchronous motor executes the energy-saving control response optimization strategy, the process in which the target asynchronous motor executes the energy-saving control response optimization strategy is monitored; otherwise, the energy-saving control response process of the target asynchronous motor is continuously monitored; Based on the process of monitoring target asynchronous motor to execute energy-saving control response optimization strategy, whether the asynchronous motor exists abnormal early warning condition is analyzed, so as to judge whether the energy-saving control response capability of the target asynchronous motor is early warned.

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