A motor control method and system for intelligent pool

Abstract

The present invention relates to the technical field of water pool motor control, and specifically to a motor control method and system for an intelligent water pool, comprising: step 1: real-time acquisition of various monitoring data of the intelligent water pool to obtain and analyze various monitoring parameters of the intelligent water pool motor control, step 2: analyzing various monitoring parameters of step 1 to obtain various control indexes of the intelligent water pool motor, step 3: respectively comparing the water pool environmental parameters obtained in step 1 and various control indexes obtained in step 2 with threshold values, triggering a motor control mechanism according to the comparison results, and recording performance parameters in the control process, step 4: evaluating the performance parameters obtained in step 3 to obtain a comprehensive motor control performance index, and step 5: performing human-computer interaction on the comprehensive motor control performance index obtained in step 4; the present invention integrates big data analysis technology and an intelligent water pool central control module, and utilizes advanced data analysis algorithms to contribute to the intelligentization of motor control.

Description

Technical Field

[0001] The invention relates to the technical field of water pool motor control, and in particular to a motor control method and system for an intelligent water pool. Background Art

[0002] With the advancement of science and technology and the development of intelligent technology, the management and maintenance of pools (such as swimming pools, reservoirs, etc.) are also tending to be intelligent. The intelligent pool system needs to be able to monitor the status of the pool in real time, including water level, water quality, temperature, etc., and accurately control the motor based on this status information to achieve energy-saving, environmentally friendly, safe and efficient operation.

[0003] In modern life, smart pools are increasingly used, and as a key component of smart pool operation, the motor's control accuracy and efficiency are of great significance to the performance and energy saving effect of the pool. The control method of traditional pool motors is often based on a simple switch to control the start and stop of the motor, which cannot achieve precise adjustment of the motor; using a float or liquid level sensor to detect the water level change in the pool, and controlling the start and stop or speed of the motor according to the water level change, is suitable for pools that need to maintain a constant water level, but the control accuracy and response speed may be limited.

[0004] However, the existing motor control methods and systems have many deficiencies in the application of smart pools. For example, the traditional methods lack real-time monitoring of the pool status and cannot timely detect and deal with potential problems such as abnormal water level and deterioration of water quality; they can usually only achieve rough adjustments and cannot meet the precise control requirements of motor performance, which may lead to large fluctuations in pool water level, high energy consumption, and short motor life; they lack intelligent functions and cannot make adaptive adjustments according to the actual needs of the pool. Therefore, through intelligent control algorithms, technical support is provided for the precise control and efficient management of pool motors to meet the intelligent needs of modern pool systems. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a motor control method and system for a smart pool to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: a motor control method for an intelligent pool, comprising:

[0007] Step 1: Through sensor technology, various monitoring data of the smart pool are collected in real time to obtain and analyze various monitoring parameters of the smart pool motor control, including pool environmental parameters and pool motor operating status parameters;

[0008] Step 2: Analyze the monitoring parameters in step 1 through big data analysis technology to obtain various control indexes of the smart pool motor, including water level and motor control analysis unit, water temperature and motor control analysis unit, and water quality and motor control analysis unit;

[0009] Step 3: Compare the pool environment parameters obtained in step 1 and the various control indexes obtained in step 2 with the thresholds respectively, trigger the motor control mechanism according to the comparison results, and record the performance parameters during the control process;

[0010] Step 4: Evaluate the performance parameters obtained in step 3 through big data analysis technology to obtain the comprehensive performance index of motor control;

[0011] Step 5: Perform human-computer interaction on the comprehensive performance indicators of motor control obtained in step 4.

[0012] Preferably, the water level and motor control analysis unit in step 2: firstly collects the pool water level H(c) and the motor load current I(m) in real time through sensor technology; then obtains the water level regulation control index WLI through big data analysis technology, , where H(t) represents the target water level, Δt is obtained by the difference between the monitoring time points t2 and t1, and H Δt represents the water level sample set within the monitoring period Δt, max() represents the maximum value, min() represents the minimum value, μ(H Δt ) represents the average value of the water level sample set, a1 and a2 represent the corresponding weights; finally, the water level fluctuation load control index WLLF is obtained. , where H t2 and H t1 They represent the monitored water level at time point t2 and the monitored water level at time point t1 respectively, and I(max) represents the rated current of the motor.

[0013] Preferably, the water temperature and motor control analysis unit in step 2: firstly collects the pool water temperature T(c), the motor operating temperature T(m) and the ambient temperature T(a) in real time through sensor technology; then obtains the water temperature regulation control index TLI through big data analysis technology, , where T(t) represents the target water temperature, T(e) represents the water temperature of the historical data at the same time, b1 and b2 represent the corresponding weights; finally, the water temperature thermal impact control index WTTIF is obtained, , , , where T(c) t2 and T(c) t1 Respectively represent the monitored water temperature at time t2 and the monitored water temperature at time t1, T(m) t2 and T(m) t1They respectively represent the motor operating temperature at time point t2 and the motor operating temperature at time point t1.

[0014] Preferably, the water quality and motor control analysis unit in step 2: firstly, through sensor technology, collects water quality parameter type data set WD in real time, WD=[wd(1),wd(2),...,wd(i),...,wd(n)], where wd(i) represents the value of the i-th water quality parameter; then, through big data analysis technology, obtains the water quality regulation control index QLI, , where wd(i) b represents the standard value of the i-th water quality parameter, wd(i) t2 and wd(i) t1 They represent the monitoring value of the i-th water quality parameter at time point t2 and time point t1 respectively, and c1 and c2 represent the corresponding weights.

[0015] Preferably, triggering the motor control mechanism in step 3 comprises the following steps:

[0016] Step 3.1: By using big data analysis technology, the water level H(c) of the pool is first compared with the preset water level H(0). If the water level is lower or higher than the preset water level, the first water level control mechanism is triggered and a water level warning signal is issued. Then the water level regulation control index WLI is compared with the threshold WLI(0) to obtain the deviation ρ(WLI) of the water level regulation control index. If ρ(WLI) exceeds the preset range, the second water level control mechanism is triggered. According to whether the water level is lower or higher than the preset water level, the intelligent pool central control module generates a motor control instruction to pump or drain the pool. Finally, the water level fluctuation load control index WLLF is compared with the threshold WLLF(0) to obtain the deviation of the water level fluctuation load control index ρ(WLLF). ,If ρ(WLLF)>0, the third water level control mechanism is triggered, indicating overload, and the intelligent pool central control module reduces the motor speed by controlling the motor drive module.

[0017] Preferably, triggering the motor control mechanism in step 3 comprises the following steps:

[0018] Step 3.2: By using big data analysis technology, the pool water temperature T(c) is first compared with the preset water level T(0). If the water temperature is lower or higher than the preset water temperature, the first water temperature control mechanism is triggered and a water temperature warning signal is issued. Then the water temperature regulation control index TLI is compared with the threshold TLI(0) to obtain the deviation ρ(TLI) of the water temperature regulation control index. If ρ(TLI) exceeds the preset range, the second water temperature control mechanism is triggered. According to whether the water temperature is lower or higher than the preset water temperature, the intelligent pool central control module generates a motor control instruction to control the motor to start the heating or cooling function. Finally, the water temperature thermal impact control index WTTIF is compared with the threshold WTTIF(0) to obtain the deviation of the water temperature thermal impact control index ρ(WTTIF). If ρ(WTTIF)>0, the third water temperature control mechanism is triggered, indicating that the motor is overheated. The intelligent pool central control module starts the motor cooling function by controlling the motor drive module. The cooling function includes the cooling function and the motor speed adjustment function by adjusting the motor voltage and current.

[0019] Preferably, triggering the motor control mechanism in step 3 comprises the following steps:

[0020] Step 3.3: Through big data analysis technology, first compare the pool water quality parameter type value wd(i) with the standard water quality parameter type value wd(i) b If the value of the pool water quality parameter exceeds the preset range, the first water quality control mechanism is triggered and a water quality warning signal is issued. Then the water quality regulation control index QLI is compared with the threshold QLI(0) to obtain the deviation ρ(QLI) of the water quality regulation control index. ,If ρ(QLI) exceeds the preset range, the second water quality control mechanism is triggered, and the central control module of the intelligent pool generates a motor control instruction to control the motor to start the corresponding processing function, which includes purification function and water exchange function.

[0021] Preferably, in step 4, the motor control comprehensive performance index MCPI is: , where P act Indicates the actual power of the motor, P int Indicates the input power obtained by the motor from the power supply, P int It is obtained by multiplying the input voltage U by the input current I. I(max) represents the rated current of the motor, I(m) represents the load current of the motor, t(run) represents the ratio of the motor's continuous running time to the fault time. If the fault time is 0, the ratio is regarded as the value of the motor's continuous running time. c is a constant term, and w1, w2 and w3 represent the corresponding weights respectively.

[0022] Preferably, a motor control system for an intelligent pool comprises:

[0023] Intelligent pool central control module: used to receive and analyze various monitoring parameters of each module pool, generate motor control instructions according to the monitoring results, and realize motor operation by controlling the motor drive module;

[0024] Motor control data acquisition module: used to collect various monitoring data of the pool, obtain and analyze various monitoring parameters of the intelligent pool motor control, and transmit various monitoring to the motor control data analysis module;

[0025] Motor control data analysis module: used to analyze various monitoring parameters of the data acquisition module, obtain various control indexes of the smart pool motor, and transmit the various control indexes to the smart pool motor control module;

[0026] Intelligent pool motor control module: used to compare the pool environmental parameters obtained by the data acquisition module and the various control indexes obtained by the data analysis module with the threshold value, trigger the motor control mechanism according to the comparison results, record the performance parameters during the control process, and transmit the performance parameters to the intelligent pool motor control evaluation module;

[0027] Intelligent pool motor control evaluation module: used to evaluate the performance parameters obtained by the control module and transmit the evaluation results to the intelligent pool motor control human-computer interaction module;

[0028] Intelligent pool motor control human-computer interaction module: used to output the evaluation results transmitted by the evaluation module to the management personnel information terminal.

[0029] Technical effects and advantages of the present invention:

[0030] 1. The present invention monitors the status information of the water pool in real time, such as water level, water quality, temperature, etc., through sensors installed in the water pool, and transmits this information to the central control module of the intelligent water pool for analysis and processing, and then accurately controls the motor according to the analysis results, providing data support for realizing intelligent control of the motor of the water pool;

[0031] 2. The present invention integrates big data analysis technology and the central control module of the intelligent pool, and uses advanced data processing and analysis algorithms to help the intelligent control of the motor, which can quickly and accurately meet the various operating requirements of the intelligent pool, improve the flexibility and scalability of the system, effectively reduce the energy consumption of the motor, and achieve the goal of energy saving and environmental protection;

[0032] 3. The present invention evaluates the motor control performance to prompt the administrator to promptly discover the decline or abnormality of the motor performance, provide a decision-making basis for the maintenance, care and replacement of the motor, avoid overload or excessive energy consumption, and thus help enhance the stability and reliability of the system, reduce the probability of failure, and extend the service life of the motor. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a schematic diagram of the overall process of the present invention.

[0034] Figure 2It is a schematic diagram of the method flow of the present invention. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] See also Figure 1 As shown, the present invention provides a motor control system for an intelligent water pool, including: an intelligent water pool central control module, a motor control data acquisition module, a motor control data analysis module, an intelligent water pool motor control module, an intelligent water pool motor control evaluation module and an intelligent water pool motor control human-computer interaction module.

[0037] What needs to be specifically explained in this embodiment is that the present invention first collects various monitoring parameters of the water pool and motor operating parameters in real time through sensor technology; then performs data analysis on the collected parameters through the intelligent water pool central control module; finally, based on the analysis results, the motor drive module realizes intelligent control of the operation of the motor.

[0038] The intelligent pool central control module is connected to each module, the motor control data acquisition module is connected to the motor control data analysis module, the intelligent pool motor control module is respectively connected to the motor control data analysis module and the intelligent pool motor control evaluation module, and the intelligent pool motor control human-computer interaction module is connected to the intelligent pool motor control evaluation module.

[0039] Intelligent pool central control module: used to receive and analyze various monitoring parameters of each module pool, generate motor control instructions according to the monitoring results, and realize motor operation by controlling the motor drive module;

[0040] Motor control data acquisition module: used to collect various monitoring data of the pool, obtain and analyze various monitoring parameters of the intelligent pool motor control, and transmit various monitoring to the motor control data analysis module;

[0041] Motor control data analysis module: used to analyze various monitoring parameters of the data acquisition module, obtain various control indexes of the smart pool motor, and transmit the various control indexes to the smart pool motor control module;

[0042] Intelligent pool motor control module: used to compare the pool environmental parameters obtained by the data acquisition module and the various control indexes obtained by the data analysis module with the threshold value, trigger the motor control mechanism according to the comparison results, record the performance parameters during the control process, and transmit the performance parameters to the intelligent pool motor control evaluation module;

[0043] Intelligent pool motor control evaluation module: used to evaluate the performance parameters obtained by the control module and transmit the evaluation results to the intelligent pool motor control human-computer interaction module;

[0044] Intelligent pool motor control human-computer interaction module: used to output the evaluation results transmitted by the evaluation module to the management personnel information terminal.

[0045] See also Figure 2 As shown, a motor control method for an intelligent water pool includes: step 1: using sensor technology, real-time acquisition of various monitoring data of the intelligent water pool, and obtaining and analyzing various monitoring parameters of the intelligent water pool motor control, including water pool environmental parameters and water pool motor operation status parameters; step 2: using big data analysis technology, analyzing various monitoring parameters of step 1, and obtaining various control indexes of the intelligent water pool motor, including a water level and motor control analysis unit, a water temperature and motor control analysis unit, and a water quality and motor control analysis unit; step 3: comparing the water pool environmental parameters obtained in step 1 and various control indexes obtained in step 2 with thresholds respectively, triggering the motor control mechanism according to the comparison results, and recording the performance parameters in the control process; step 4: using big data analysis technology, evaluating the performance parameters obtained in step 3, and obtaining comprehensive motor control performance indicators; step 5: performing human-computer interaction on the comprehensive motor control performance indicators obtained in step 4.

[0046] Step 1: Through sensor technology, various monitoring data of the smart pool are collected in real time to obtain and analyze various monitoring parameters of the smart pool motor control, including administrator identity authentication information, pool environmental parameters and pool motor operating status parameters, where the pool environmental parameters include pool water level data, pool water temperature data and pool water quality data, where the pool motor operating status parameters include motor load current, motor operating temperature, motor actual power, motor input power obtained from the power supply, motor rated current and motor continuous running time;

[0047] Step 2: Analyze the monitoring parameters of step 1 through big data analysis technology to obtain the control indexes of the smart pool motor, including water level and motor control analysis unit, water temperature and motor control analysis unit and water quality and motor control analysis unit. The parameter analysis includes the following steps:

[0048] Step 2.1: Water level and motor control analysis unit: First, use sensor technology to collect the pool water level H(c) and motor load current I(m) in real time; then use big data analysis technology to obtain the water level regulation control index WLI. , where H(t) represents the target water level, Δt is obtained by the difference between the monitoring time points t2 and t1, and H Δt represents the water level sample set within the monitoring period Δt, max() represents the maximum value, min() represents the minimum value, μ(H Δt ) represents the average value of the water level sample set, a1 and a2 represent the corresponding weights, for example, a1=0.6 and a2=0.4; finally, the water level fluctuation load control index WLLF is obtained. , where H t2 and H t1 They represent the monitored water level at time t2 and the monitored water level at time t1 respectively, and I(max) represents the rated current of the motor;

[0049] What needs to be specifically explained in this embodiment is that by analyzing the water level parameters of the pool, it is possible to reflect the degree of deviation between the current water level of the pool and the target water level, as well as the rate of change of the water level, thereby determining whether the motor needs to pump or drain water; by monitoring the water level change rate and the motor current, it is possible to understand the load condition of the motor under different water level fluctuations, thereby adjusting the operating state of the motor, such as reducing the speed or suspending operation, to avoid motor overload and damage.

[0050] Step 2.2: Water temperature and motor control analysis unit: First, use sensor technology to collect the pool water temperature T(c), motor operating temperature T(m) and ambient temperature T(a) in real time; then use big data analysis technology to obtain the water temperature regulation control index TLI. , where T(t) represents the target water temperature, T(e) represents the water temperature of the historical data at the same time, b1 and b2 represent the corresponding weights, for example, b1=0.6 and b2=0.4; finally, the water temperature thermal impact control index WTTIF is obtained, , , , where T(c) t2 and T(c) t1 Respectively represent the monitored water temperature at time t2 and the monitored water temperature at time t1, T(m) t2 and T(m) t1 Respectively represent the motor operating temperature at time t2 and the motor operating temperature at time t1;

[0051] What needs to be specifically explained in this embodiment is that by analyzing the pool water temperature parameters, it is possible to reflect the deviation between the pool water temperature and the target water temperature, as well as the trend of the water temperature change, so as to decide whether heating or cooling is needed; by analyzing the motor operating temperature and the ambient temperature, it is possible to evaluate the impact of the water temperature change on the motor temperature, start the cooling system or adjust the motor operating parameters to reduce the motor temperature and prevent overheating.

[0052] Step 2.3: Water quality and motor control analysis unit: First, through sensor technology, the water quality parameter type data set WD is collected in real time, WD=[wd(1),wd(2),...,wd(i),...,wd(n)], where wd(i) represents the value of the i-th water quality parameter, such as dissolved oxygen concentration of 8 mg / L, pH value of 8 and conductivity value of 0.1 μS / cm; then, the water quality regulation control index QLI is obtained through big data analysis technology. , where wd(i) b represents the standard value of the i-th water quality parameter, wd(i) t2 and wd(i) t1 They represent the monitoring values ​​of the i-th water quality parameter at time t2 and time t1 respectively, c1 and c2 represent the corresponding weights, for example, c1=0.6 and c2=0.4;

[0053] What needs to be specifically explained in this embodiment is that by analyzing the water quality parameters, the concentration of pollutants in the pool and the changing trend of the water quality can be reflected, so as to determine whether purification or water replacement is needed.

[0054] Step 3: Compare the pool environment parameters obtained in step 1 and the various control indexes obtained in step 2 with the thresholds respectively, trigger the motor control mechanism according to the comparison results, and record the performance parameters during the control process. The triggering of the motor control mechanism includes the following steps:

[0055] Step 3.1: By using big data analysis technology, the water level H(c) of the pool is first compared with the preset water level H(0). If the water level is lower or higher than the preset water level, the first water level control mechanism is triggered and a water level warning signal is issued. Then the water level regulation control index WLI is compared with the threshold WLI(0) to obtain the deviation ρ(WLI) of the water level regulation control index. If ρ(WLI) exceeds the preset range, the second water level control mechanism is triggered. According to whether the water level is lower or higher than the preset water level, the intelligent pool central control module generates a motor control instruction to pump or drain the pool. Finally, the water level fluctuation load control index WLLF is compared with the threshold WLLF(0) to obtain the deviation of the water level fluctuation load control index ρ(WLLF). ,If ρ(WLLF)>0, the third water level control mechanism is triggered, indicating overload, and the intelligent pool central control module reduces the motor speed by controlling the motor drive module;

[0056] Step 3.2: By using big data analysis technology, the pool water temperature T(c) is first compared with the preset water level T(0). If the water temperature is lower or higher than the preset water temperature, the first water temperature control mechanism is triggered and a water temperature warning signal is issued. Then the water temperature regulation control index TLI is compared with the threshold TLI(0) to obtain the deviation ρ(TLI) of the water temperature regulation control index. If ρ(TLI) exceeds the preset range, the second water temperature control mechanism is triggered. According to whether the water temperature is lower or higher than the preset water temperature, the intelligent pool central control module generates a motor control instruction to control the motor to start the heating or cooling function. Finally, the water temperature thermal impact control index WTTIF is compared with the threshold WTTIF(0) to obtain the deviation of the water temperature thermal impact control index ρ(WTTIF). ,If ρ(WTTIF)>0, the third water temperature control mechanism is triggered, indicating that the motor is overheated. The intelligent pool central control module starts the motor cooling function by controlling the motor drive module. The cooling function includes cooling function and adjusting the motor voltage and current and the motor speed function to reduce the temperature of the motor and prevent overheating;

[0057] Step 3.3: Through big data analysis technology, first compare the pool water quality parameter type value wd(i) with the standard water quality parameter type value wd(i) b If the value of the pool water quality parameter exceeds the preset range, the first water quality control mechanism is triggered and a water quality warning signal is issued. Then the water quality regulation control index QLI is compared with the threshold QLI(0) to obtain the deviation ρ(QLI) of the water quality regulation control index. ,If ρ(QLI) exceeds the preset range, the second water quality control mechanism is triggered, and the central control module of the intelligent pool generates a motor control instruction to control the motor to start the corresponding processing function, which includes purification function and water exchange function;

[0058] Step 4: Use big data analysis technology to evaluate the performance parameters obtained in step 3 and obtain the motor control comprehensive performance index MCPI. , where P act Indicates the actual power of the motor, P int Indicates the input power obtained by the motor from the power supply, P intIt is obtained by multiplying the input voltage U by the input current I. I(max) represents the rated current of the motor, I(m) represents the load current of the motor, t(run) represents the ratio of the motor's continuous running time to the fault time. If the fault time is 0, the ratio is regarded as the value of the motor's continuous running time. c is a constant term. w1, w2 and w3 represent the corresponding weights, which are used to adjust the baseline value of the function. The comprehensive performance index of motor control is used to evaluate the running performance and energy consumption of the motor.

[0059] Step 5: Perform human-computer interaction on the comprehensive performance index of motor control obtained in step 4. If the comprehensive performance index of motor control belongs to the set allowable range, it means that the motor control of the smart pool is good. Otherwise, the operating parameters of the motor, such as speed and power, are adjusted through the central control module of the smart pool to maintain efficient operation of the motor. When the motor load is too high or the efficiency decreases, the system can automatically reduce the load of the motor or adjust its operating state to avoid overload or excessive energy consumption, and promptly remind the administrator to find the decline or abnormality of motor performance, so as to provide a decision-making basis for the maintenance, care and replacement of the motor.

[0060] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0061] The above contents are merely examples and explanations of the concept of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A motor control method for an intelligent pool, characterized in that: include: Step 1: Through sensor technology, various monitoring data of the smart pool are collected in real time to obtain and analyze various monitoring parameters of the smart pool motor control, including pool environmental parameters and pool motor operating status parameters; Step 2: Analyze the monitoring parameters in step 1 through big data analysis technology to obtain various control indexes of the smart pool motor, including water level and motor control analysis unit, water temperature and motor control analysis unit, and water quality and motor control analysis unit; The water level and motor control analysis unit in step 2 first collects the pool water level H(c) and the motor load current I(m) in real time through sensor technology; then obtains the water level regulation control index WLI through big data analysis technology. , where H(t) represents the target water level, Δt is obtained by the difference between the monitoring time points t2 and t1, and H Δt represents the water level sample set within the monitoring period Δt, max() represents the maximum value, min() represents the minimum value, μ(H Δt ) represents the average value of the water level sample set, a1 and a2 represent the corresponding weights; finally, the water level fluctuation load control index WLLF is obtained. , where H t2 and H t1 They represent the monitored water level at time t2 and the monitored water level at time t1 respectively, and I(max) represents the rated current of the motor; The water temperature and motor control analysis unit in step 2: firstly, collects the pool water temperature T(c), the motor operating temperature T(m) and the ambient temperature T(a) in real time through sensor technology; then obtains the water temperature regulation control index TLI through big data analysis technology. , where T(t) represents the target water temperature, T(e) represents the water temperature of the historical data at the same time, b1 and b2 represent the corresponding weights; finally, the water temperature thermal impact control index WTTIF is obtained, , , , where T(c) t2 and T(c) t1 Respectively represent the monitored water temperature at time t2 and the monitored water temperature at time t1, T(m) t2 and T(m) t1 Respectively represent the motor operating temperature at time t2 and the motor operating temperature at time t1; The water quality and motor control analysis unit in step 2: first, through sensor technology, collects water quality parameter type data set WD in real time, WD=[wd(1),wd(2),...,wd(i),...,wd(n)], where wd(i) represents the value of the i-th water quality parameter; then, through big data analysis technology, obtains the water quality regulation control index QLI, , where wd(i) b represents the standard value of the i-th water quality parameter, wd(i) t2 and wd(i) t1 They represent the monitoring values ​​of the i-th water quality parameter at time t2 and time t1, respectively, and c1 and c2 represent the corresponding weights; Step 3: Compare the pool environment parameters obtained in step 1 and the various control indexes obtained in step 2 with the thresholds respectively, trigger the motor control mechanism according to the comparison results, and record the performance parameters during the control process; Step 4: Evaluate the performance parameters obtained in step 3 through big data analysis technology to obtain comprehensive motor control performance indicators; Step 5: Perform human-computer interaction on the comprehensive performance indicators of motor control obtained in step 4.

2. A motor control method for an intelligent pool according to claim 1, characterized in that: Triggering the motor control mechanism in step 3 includes the following steps: Step 3.1: By using big data analysis technology, the water level H(c) of the pool is first compared with the preset water level H(0). If the water level is lower or higher than the preset water level, the first water level control mechanism is triggered and a water level warning signal is issued. Then the water level regulation control index WLI is compared with the threshold WLI(0) to obtain the deviation ρ(WLI) of the water level regulation control index. If ρ(WLI) exceeds the preset range, the second water level control mechanism is triggered. According to whether the water level is lower or higher than the preset water level, the intelligent pool central control module generates a motor control instruction to pump or drain the pool. Finally, the water level fluctuation load control index WLLF is compared with the threshold WLLF(0) to obtain the deviation of the water level fluctuation load control index ρ(WLLF). ,If ρ(WLLF)>0, the third water level control mechanism is triggered, indicating overload, and the intelligent pool central control module reduces the motor speed by controlling the motor drive module.

3. The motor control method for an intelligent pool according to claim 1, characterized in that: Triggering the motor control mechanism in step 3 includes the following steps: Step 3.2: By using big data analysis technology, the pool water temperature T(c) is first compared with the preset water level T(0). If the water temperature is lower or higher than the preset water temperature, the first water temperature control mechanism is triggered and a water temperature warning signal is issued. Then the water temperature regulation control index TLI is compared with the threshold TLI(0) to obtain the deviation ρ(TLI) of the water temperature regulation control index. If ρ(TLI) exceeds the preset range, the second water temperature control mechanism is triggered. According to whether the water temperature is lower or higher than the preset water temperature, the intelligent pool central control module generates a motor control instruction to control the motor to start the heating or cooling function. Finally, the water temperature thermal impact control index WTTIF is compared with the threshold WTTIF(0) to obtain the deviation of the water temperature thermal impact control index ρ(WTTIF). If ρ(WTTIF)>0, the third water temperature control mechanism is triggered, indicating that the motor is overheated. The intelligent pool central control module starts the motor cooling function by controlling the motor drive module. The cooling function includes the cooling function and the motor speed adjustment function by adjusting the motor voltage and current.

4. The motor control method for an intelligent pool according to claim 1, characterized in that: Triggering the motor control mechanism in step 3 includes the following steps: Step 3.3: Through big data analysis technology, first compare the pool water quality parameter type value wd(i) with the standard water quality parameter type value wd(i) b If the value of the pool water quality parameter exceeds the preset range, the first water quality control mechanism is triggered and a water quality warning signal is issued. Then the water quality regulation control index QLI is compared with the threshold QLI(0) to obtain the deviation of the water quality regulation control index ρ(QLI), ,If ρ(QLI) exceeds the preset range, the second water quality control mechanism is triggered, and the central control module of the intelligent pool generates a motor control instruction to control the motor to start the corresponding processing function, which includes purification function and water exchange function.

5. The motor control method for an intelligent pool according to claim 1, characterized in that: In step 4, the motor control comprehensive performance index MCPI, , where P act Indicates the actual power of the motor, P int Indicates the input power obtained by the motor from the power supply, P int It is obtained by multiplying the input voltage U by the input current I. I(max) represents the rated current of the motor, I(m) represents the load current of the motor, t(run) represents the ratio of the motor's continuous running time to the fault time. If the fault time is 0, the ratio is regarded as the value of the motor's continuous running time. c is a constant term, and w1, w2 and w3 represent the corresponding weights respectively.

6. A motor control system for a smart pool, used to use the motor control method for a smart pool as described in any one of claims 1 to 5, comprising: Intelligent pool central control module: used to receive and analyze various monitoring parameters of each module pool, generate motor control instructions according to the monitoring results, and realize motor operation by controlling the motor drive module; Motor control data acquisition module: used to collect various monitoring data of the pool, obtain and analyze various monitoring parameters of the intelligent pool motor control, and transmit various monitoring to the motor control data analysis module; Motor control data analysis module: used to analyze various monitoring parameters of the data acquisition module, obtain various control indexes of the smart pool motor, and transmit the various control indexes to the smart pool motor control module; Intelligent pool motor control module: used to compare the pool environmental parameters obtained by the data acquisition module and the various control indexes obtained by the data analysis module with the threshold value, trigger the motor control mechanism according to the comparison results, record the performance parameters during the control process, and transmit the performance parameters to the intelligent pool motor control evaluation module; Intelligent pool motor control evaluation module: used to evaluate the performance parameters obtained by the control module and transmit the evaluation results to the intelligent pool motor control human-computer interaction module; Intelligent pool motor control human-computer interaction module: used to output the evaluation results transmitted by the evaluation module to the management personnel information terminal.

Images