CN117691918B - Control method and system for swimming pool pump motor - Google Patents

Control method and system for swimming pool pump motor Download PDF

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Publication number
CN117691918B
CN117691918B CN202410147096.8A CN202410147096A CN117691918B CN 117691918 B CN117691918 B CN 117691918B CN 202410147096 A CN202410147096 A CN 202410147096A CN 117691918 B CN117691918 B CN 117691918B
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control
parameter
parameter range
parameters
control mode
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CN117691918A (en
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范河生
何冰强
余庆良
岑昌健
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GUANGDONG LINGXIAO PUMP INDUSTRY CO LTD
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GUANGDONG LINGXIAO PUMP INDUSTRY CO LTD
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Abstract

The invention discloses a control method and a control system for a swimming pool pump motor, which belong to the technical field of control of the swimming pool pump motor, analyze the swimming pool pump motor and establish a control context diagram corresponding to the swimming pool pump motor; real-time monitoring is carried out in the running process of the target motor, corresponding control monitoring data are obtained, and environmental parameters in the control monitoring data are identified; correspondingly marking the obtained environmental parameters in the control context diagram, and identifying a corresponding control mode and a single parameter range; and identifying each unit parameter corresponding to the single parameter range, determining a corresponding control parameter from each unit parameter, and controlling the target motor according to the obtained control parameter.

Description

Control method and system for swimming pool pump motor
Technical Field
The invention belongs to the technical field of control of a swimming pool pump motor, and particularly relates to a control method and a control system for the swimming pool pump motor.
Background
At present, a swimming pool pump motor control system mainly adopts a traditional induction motor, the rotating speed of the motor is fixed, and the motor cannot be automatically adjusted according to actual requirements. In addition, conventional pool pump systems typically require personnel to manually start or stop the motor depending on the pool conditions, which not only increases labor costs, but also does not guarantee the comfort and stability of the pool environment. With the development of technology and the improvement of requirements of people on swimming pool environments, a novel swimming pool pump motor control system is needed to solve the problems. This system needs to be able to carry out automatically regulated according to the actual demand, guarantees the comfort level and the stability of swimming pool environment, still needs to reduce energy consumption and human cost simultaneously.
Accordingly, the present invention provides a control method and system for a pool pump motor that addresses the above-identified issues. Adjust according to actual demand, guarantee swimming pool environmental comfort level and stability, can also reduce energy consumption and human cost simultaneously.
Disclosure of Invention
In order to solve the problems of the scheme, the invention provides a control method and a control system for a swimming pool pump motor.
The aim of the invention can be achieved by the following technical scheme:
a control system for a swimming pool pump motor comprises a motor analysis module, a monitoring module and a control module;
The motor analysis module is used for analyzing the swimming pool pump motor and establishing a control context diagram corresponding to the swimming pool pump motor.
Further, the process for establishing the control context graph comprises the following steps:
Determining a target motor, acquiring control related data of the target motor according to a preset related data template, performing identification, statistics and analysis on the control related data, and determining each control mode and a control parameter range and an environment parameter range corresponding to each control mode;
sequentially classifying the control mode, the control parameter range and the environment parameter range, wherein the control mode, the control parameter range and the environment parameter range correspond to the first stage, the second stage and the third stage respectively; correspondingly associating each control mode, each control parameter range and each environment parameter range to form an initial context diagram;
And adjusting the corresponding control parameter range according to the environment parameter range to obtain a new control parameter range, and adjusting the initial context graph according to the new control parameter range to form a control context graph.
Further, the determining process of the environmental parameter range includes:
Identifying environmental parameters corresponding to each control mode according to the control related data, and counting the environmental parameters corresponding to each control mode to obtain an initial environmental parameter range corresponding to each control mode;
Comparing the initial environmental parameter ranges to determine intersection parameters of the initial environmental parameter ranges;
Extracting each intersection parameter from the corresponding initial environment parameter range, marking the corresponding control mode label, and distributing each extracted intersection parameter to the corresponding control mode to form a new initial environment parameter range; and marking the current initial environmental parameter ranges as environmental parameter ranges of corresponding control modes.
Further, the process of assigning intersection parameters includes:
identifying each environmental parameter in the intersection parameters, and marking the environmental parameters as parameters to be distributed; counting the pairing times between the corresponding control mode and each parameter to be distributed according to the control association data;
Identifying user feedback data related to a corresponding control mode in the control related data, and marking feedback correction data in the user feedback data;
According to the formula Calculating a corresponding control priority value;
Wherein: q riori represents a corresponding priority value; exp represents an exponential function with a base of a constant e; ci represents the pairing times; p (aij) is a first recognition model, aij represents evaluating feedback correction data corresponding to a corresponding control mode, i represents the corresponding control mode, i=1, 2, … …, n is a positive integer; j=1, 2, … …, m being a positive integer; λij represents an adjustment coefficient corresponding to the feedback correction data;
and the parameters to be allocated are allocated to the control mode with the highest control priority value.
Further, the expression of the first recognition model is: ; aij represents feedback correction data corresponding to the evaluation corresponding control mode.
Further, the method comprises the steps of,; Aij represents feedback correction data corresponding to the evaluation corresponding control mode.
Further, the process of adjusting the corresponding control parameter range according to the environment parameter range includes:
acquiring a matched environment parameter range and a control parameter range, identifying each environment parameter in the environment parameter range, and determining a single parameter range corresponding to each environment parameter; marking each control parameter within the single parameter range as a unit parameter;
Acquiring historical working data of each environmental parameter under corresponding unit parameters, analyzing the historical working data, and acquiring corresponding noise values and energy consumption values;
According to the formula Calculating the ordering value of the corresponding unit parameters;
Wherein: k rate is a sorting value; b 1、b2 are all proportional coefficients, and the value range is 0<b 1≤1,0<b2 to be less than or equal to 1; FC is the noise value; FB presets a noise threshold; g is a processing function, expressed as ; Wh is the energy consumption value; /(I)Is the average value of energy consumption;
sequencing the unit parameters according to the sequence from small to large to obtain a first sequence; removing the unit parameters of V% after sequencing in the first sequence; obtaining a second sequence;
Identifying each unit parameter in each second sequence, and marking the unit parameter as a fixed parameter; and eliminating the unfixed parameters in the control parameter range to finish the adjustment of the control parameter range.
The monitoring module is used for monitoring in real time in the running process of the target motor, obtaining corresponding control monitoring data, identifying environmental parameters in the control monitoring data, and sending the obtained environmental parameters to the control module.
The control module is used for controlling the operation of the target motor and obtaining a control context diagram; receiving environmental parameters sent by a monitoring module; correspondingly marking the obtained environmental parameters in the control context diagram, and identifying a corresponding control mode and a single parameter range;
And identifying each unit parameter corresponding to the single parameter range, determining a corresponding control parameter from each unit parameter, and controlling the target motor according to the obtained control parameter.
A control method for a pool pump motor, the method comprising:
Analyzing a swimming pool pump motor and establishing a control context diagram corresponding to the swimming pool pump motor;
Real-time monitoring is carried out in the running process of the target motor, corresponding control monitoring data are obtained, and environmental parameters in the control monitoring data are identified;
correspondingly marking the obtained environmental parameters in the control context diagram, and identifying a corresponding control mode and a single parameter range;
And identifying each unit parameter corresponding to the single parameter range, determining a corresponding control parameter from each unit parameter, and controlling the target motor according to the obtained control parameter.
Compared with the prior art, the invention has the beneficial effects that:
Through the mutual coordination among the motor analysis module, the monitoring module and the control module, the intelligent control of the swimming pool pump motor is realized, the automatic adjustment is carried out according to the actual requirements, the comfort level and the stability of the swimming pool environment are ensured, the energy consumption and the labor cost can be reduced, and the application experience is improved; by arranging the motor analysis module, the scene analysis of the swimming pool pump motor is realized, the actual control condition of the swimming pool pump motor under the application scene is known in the field, the existing control mode is optimized, and more accurate operation control is realized; and the follow-up more proper operation control according to the corresponding environment parameters is facilitated.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
Fig. 1 is a functional block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, a control system for a pool pump motor includes a motor analysis module, a monitoring module, and a control module;
The motor analysis module is used for analyzing the swimming pool pump motor and establishing a control context diagram corresponding to the swimming pool pump motor.
Marking a swimming pool pump motor to be analyzed and controlled as a target motor, and acquiring control related data of the target motor, wherein the control related data comprise various data related to control of the target motor, such as various control mode data, control parameter range data corresponding to each control mode, environment parameter range data, user feedback data and other various data related to control, and the control parameter range data refers to data related to an adjustment range which can be achieved by the control mode; the environmental parameter range data is the data related to what condition range is reached to apply the control mode; the user feedback data includes good feedback and bad feedback, and corresponding reason data is needed to be associated, for example, the control mode cannot be applied under the environment parameter, or when good, the control parameter and the environment parameter corresponding to the corresponding control mode are obtained.
Data acquisition is carried out through a preset corresponding associated data template; the professional presets corresponding associated data templates according to the types of the swimming pool pumps, and then the corresponding associated data templates can be obtained by matching, and the associated data acquisition is controlled according to the matched associated data templates.
And carrying out identification statistical analysis on the obtained control related data, and determining each control mode and a control parameter range and an environment parameter range corresponding to each control mode.
Sequentially classifying the control mode, the control parameter range and the environment parameter range, wherein the control mode, the control parameter range and the environment parameter range correspond to the first stage, the second stage and the third stage respectively; distributing the control parameters from top to bottom according to the corresponding grades, namely, the first layer is a control mode, the second layer is a control parameter range, and the third layer is an environment parameter range;
correspondingly associating each control mode, each control parameter range and each environment parameter range to form an initial context diagram;
and adjusting the corresponding control parameter range according to the environment parameter range to obtain a new control parameter range, and adjusting the initial context graph according to the new control parameter range to form a control context graph.
By arranging the motor analysis module, the scene analysis of the swimming pool pump motor is realized, the actual control condition of the swimming pool pump motor under the application scene is known in the field, the existing control mode is optimized, and more accurate operation control is realized; and the follow-up more proper operation control according to the corresponding environment parameters is facilitated.
In one embodiment, the control mode, the control parameter range and the environment parameter range can be directly identified according to the control related data, but in some cases, because the original control modes are controlled according to a manual mode, the control modes and the control parameter range can be directly identified according to the control related data; at this time, only the control records related to the environmental parameter ranges and the corresponding environmental parameters in the control related data cannot directly identify the environmental parameter ranges corresponding to statistics, and corresponding analysis is needed, so for this case, the embodiment proposes the following manner to determine the environmental parameter ranges, which specifically includes the following steps:
identifying environment parameters corresponding to each control mode, and counting the environment parameters corresponding to each control mode to obtain an initial environment parameter range corresponding to each control mode; comparing the initial environmental parameter ranges, determining an intersection part of the initial environmental parameter ranges, and marking the intersection part as an intersection parameter; because of the randomness and diversity of manual control, the situation that the same environmental parameter corresponds to different control modes occurs, so that each initial environmental parameter range may have intersection; identifying each control mode corresponding to the intersection parameters;
Dividing the intersection parameters and then distributing the intersection parameters to corresponding control modes so that the intersection of the corresponding initial environment parameter ranges at the intersection parameters is avoided; a step of circulating the intersection parameter segmentation and distribution until no intersection parameter exists; and marking the current initial environmental parameter ranges as environmental parameter ranges of corresponding control modes.
The method for dividing and distributing the intersection parameters comprises the following steps:
identifying each environmental parameter in the intersection parameters, and marking the environmental parameters as parameters to be distributed; counting the pairing times between the corresponding control mode and each parameter to be distributed according to the control association data; when the parameters to be distributed appear, the frequency of the control mode is applied, namely the pairing frequency;
Identifying user feedback data related to a corresponding control mode in the control related data, marking feedback data of corresponding parameters to be allocated in the user feedback data as feedback correction data, determining according to the parameters to be allocated corresponding to the control mode in the user feedback data, and associating the corresponding control mode, control parameters and parameters to be allocated with both good evaluation feedback and poor evaluation feedback, so that identification and marking can be performed; forming integral feedback correction data corresponding to each control mode;
Analyzing the feedback correction data, and determining an adjustment value of each feedback correction data relative to a corresponding control mode; the method comprises the steps of acquiring a large amount of historical feedback correction data, and establishing a corresponding first identification model according to the acquired historical feedback correction data, wherein the first identification model is used for analyzing whether corresponding feedback correction data is fed back for a parameter to be distributed and a control mode or not, and further analyzing a corresponding adjustment value, wherein conditions which are consistent with the parameter to be distributed and the control mode at the same time are marked as auditing conditions, namely the parameter to be distributed and the control mode are required to be consistent with each other, possibly due to the reasons of the control parameter and the like; specifically, a first recognition model is established by combining current text recognition data and a judging technology, corresponding detailed data are recognized first, and then whether the corresponding detailed data accord with auditing conditions or not is judged to be evaluated; training according to a large amount of marked historical feedback correction data; inputting data feedback correction data, and outputting data as an adjustment value; the expression of the first recognition model is ; Wherein: aij represents feedback correction data corresponding to the evaluation corresponding control mode, wherein i represents the corresponding control mode, i=1, 2, … …, n is a positive integer; j=1, 2, … …, m being a positive integer; a1 or 0, i.e. the adjustment value.
According to the formulaCalculating a corresponding control priority value; wherein: q riori represents a corresponding priority value; exp represents an exponential function with a base of a constant e; ci represents the pairing times; p (aij) is the first recognition model; λij represents an adjustment coefficient corresponding to the feedback correction data, the good score is 1, the bad score is-1, and the others are 0; the expression is/>
And the parameters to be allocated are allocated to the control mode with the highest control priority value.
The process of adjusting the corresponding control parameter range according to the environment parameter range comprises the following steps:
Acquiring a matched environment parameter range and a control parameter range, namely the environment parameter range and the control parameter range which belong to the same control mode;
Identifying each environmental parameter in the environmental parameter range, analyzing a control parameter range corresponding to each environmental parameter, and marking the control parameter range as a single parameter range; namely, utilizing the control principle of the target motor and the common control knowledge in the field to determine a single parameter range which can be selected for the environmental parameter; marking each control parameter in the single parameter range as a unit parameter;
Acquiring historical working data of each environmental parameter under corresponding unit parameters, wherein the historical working data need to comprise corresponding noise related data, energy consumption related data and the like; analyzing the obtained historical working data to obtain a corresponding noise value and energy consumption value;
According to the formula Calculating the ordering value of the corresponding unit parameters; wherein: k rate is a sorting value; b 1、b2 are all proportional coefficients, and the value range is 0<b 1≤1,0<b2 to be less than or equal to 1; FC is the noise value; FB preset a noise threshold, i.e. exceeding the value is considered to be noisy, specifically set by a manager, or defaulting to the noise threshold under the scene condition; g is a processing function, expressed as; Wh is the energy consumption value; /(I)The average energy consumption value is the average energy consumption value corresponding to each unit parameter in a single parameter range;
sequencing the unit parameters according to the sequence from small to large to obtain a first sequence; removing the unit parameters of V% after sequencing in the first sequence; v is generally 75, and can be specifically adjusted according to the requirements of users, such as V in the interval of [60, 90 ]; marking the removed first sequence as a second sequence;
Identifying each unit parameter in each second sequence, and marking the unit parameter as a fixed parameter; and eliminating the unfixed parameters in the control parameter range to finish the adjustment of the control parameter range.
The monitoring module is used for monitoring in real time in the running process of the target motor, obtaining corresponding control monitoring data, identifying environmental parameters in the control monitoring data, and sending the obtained environmental parameters to the control module.
The control module is used for controlling the operation of the target motor and obtaining a control context diagram; receiving environmental parameters sent by a monitoring module; correspondingly marking the obtained environmental parameters in the control context graph, identifying a corresponding control mode and a single parameter range, and correspondingly positioning and matching according to the control context graph; wherein, the single parameter range refers to the parameter range after the process range is adjusted;
And identifying each unit parameter corresponding to the single parameter range, determining a corresponding control parameter from each unit parameter, and controlling the target motor according to the obtained control parameter.
In one embodiment, the corresponding control parameters may be selected from the unit parameters based on the prior art, for example, by combining the corresponding noise, energy consumption, implementation difficulty, and other related parameters.
In another embodiment, the ranking value corresponding to each unit parameter may also be calculated; i.e. formulaCalculating the ordering value of the corresponding unit parameters; and selecting the unit parameter with the highest ranking value as the control parameter.
A control method for a pool pump motor, the method comprising:
analyzing the swimming pool pump motor and establishing a control context diagram corresponding to the swimming pool pump motor;
Real-time monitoring is carried out in the running process of the target motor, corresponding control monitoring data are obtained, and environmental parameters in the control monitoring data are identified;
correspondingly marking the obtained environmental parameters in the control context diagram, and identifying a corresponding control mode and a single parameter range;
And identifying each unit parameter corresponding to the single parameter range, determining a corresponding control parameter from each unit parameter, and controlling the target motor according to the obtained control parameter.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas which are obtained by acquiring a large amount of data and performing software simulation to obtain the closest actual situation, and preset parameters and preset thresholds in the formulas are set by a person skilled in the art according to the actual situation or are obtained by simulating a large amount of data.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.

Claims (6)

1. A control system for a swimming pool pump motor, comprising a motor analysis module, a monitoring module and a control module;
The motor analysis module is used for analyzing the swimming pool pump motor and establishing a control context diagram corresponding to the swimming pool pump motor;
the monitoring module is used for monitoring in real time in the running process of the target motor, acquiring corresponding control monitoring data, identifying environmental parameters in the control monitoring data, and sending the acquired environmental parameters to the control module;
The control module is used for controlling the operation of the target motor and obtaining a control context diagram; receiving environmental parameters sent by a monitoring module; correspondingly marking the obtained environmental parameters in the control context diagram, and identifying a corresponding control mode and a single parameter range;
identifying each unit parameter corresponding to the single parameter range, determining a corresponding control parameter from each unit parameter, and controlling the target motor according to the obtained control parameter;
the establishment process of the control context graph comprises the following steps:
Determining a target motor, acquiring control related data of the target motor according to a preset related data template, performing identification, statistics and analysis on the control related data, and determining each control mode and a control parameter range and an environment parameter range corresponding to each control mode;
sequentially classifying the control mode, the control parameter range and the environment parameter range, wherein the control mode, the control parameter range and the environment parameter range correspond to the first stage, the second stage and the third stage respectively; correspondingly associating each control mode, each control parameter range and each environment parameter range to form an initial context diagram;
Adjusting the corresponding control parameter range according to the environment parameter range to obtain a new control parameter range, and adjusting the initial context graph according to the new control parameter range to form a control context graph;
The process of adjusting the corresponding control parameter range according to the environment parameter range comprises the following steps:
acquiring a matched environment parameter range and a control parameter range, identifying each environment parameter in the environment parameter range, and determining a single parameter range corresponding to each environment parameter; marking each control parameter within the single parameter range as a unit parameter;
Acquiring historical working data of each environmental parameter under corresponding unit parameters, analyzing the historical working data, and acquiring corresponding noise values and energy consumption values;
According to the formula Calculating the ordering value of the corresponding unit parameters;
Wherein: k rate is a sorting value; b 1、b2 are all proportional coefficients, and the value range is 0<b 1≤1,0<b2 to be less than or equal to 1; FC is the noise value; FB presets a noise threshold; g is a processing function, expressed as ; Wh is the energy consumption value; /(I)Is the average value of energy consumption;
sequencing the unit parameters according to the sequence from small to large to obtain a first sequence; removing the unit parameters of V% after sequencing in the first sequence; obtaining a second sequence;
Identifying each unit parameter in each second sequence, and marking the unit parameter as a fixed parameter; and eliminating the unfixed parameters in the control parameter range to finish the adjustment of the control parameter range.
2. A control system for a pool pump motor as in claim 1, wherein the determination of the range of environmental parameters includes:
Identifying environmental parameters corresponding to each control mode according to the control related data, and counting the environmental parameters corresponding to each control mode to obtain an initial environmental parameter range corresponding to each control mode;
Comparing the initial environmental parameter ranges to determine intersection parameters of the initial environmental parameter ranges;
Extracting each intersection parameter from the corresponding initial environment parameter range, marking the corresponding control mode label, and distributing each extracted intersection parameter to the corresponding control mode to form a new initial environment parameter range; and marking the current initial environmental parameter ranges as environmental parameter ranges of corresponding control modes.
3. A control system for a pool pump motor as in claim 2, wherein the process of assigning intersection parameters comprises:
identifying each environmental parameter in the intersection parameters, and marking the environmental parameters as parameters to be distributed; counting the pairing times between the corresponding control mode and each parameter to be distributed according to the control association data;
Identifying user feedback data related to a corresponding control mode in the control related data, and marking feedback correction data in the user feedback data;
According to the formula Calculating a corresponding control priority value;
Wherein: q riori represents a corresponding priority value; exp represents an exponential function with a base of a constant e; ci represents the pairing times; p (aij) is a first recognition model, aij represents evaluating feedback correction data corresponding to a corresponding control mode, i represents the corresponding control mode, i=1, 2, … …, n is a positive integer; j=1, 2, … …, m being a positive integer; λij represents an adjustment coefficient corresponding to the feedback correction data;
and the parameters to be allocated are allocated to the control mode with the highest control priority value.
4. A control system for a pool pump motor as in claim 3, wherein the expression for the first recognition model is: ; aij represents feedback correction data corresponding to the evaluation corresponding control mode.
5. A control system for a pool pump motor as in claim 3, wherein,; Aij represents feedback correction data corresponding to the evaluation corresponding control mode.
6. A control method for a pool pump motor as claimed in any one of claims 1 to 5, applied to a control system for a pool pump motor, the method comprising:
Analyzing a swimming pool pump motor and establishing a control context diagram corresponding to the swimming pool pump motor;
Real-time monitoring is carried out in the running process of the target motor, corresponding control monitoring data are obtained, and environmental parameters in the control monitoring data are identified;
correspondingly marking the obtained environmental parameters in the control context diagram, and identifying a corresponding control mode and a single parameter range;
And identifying each unit parameter corresponding to the single parameter range, determining a corresponding control parameter from each unit parameter, and controlling the target motor according to the obtained control parameter.
CN202410147096.8A 2024-02-02 2024-02-02 Control method and system for swimming pool pump motor Active CN117691918B (en)

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