Outlet water temperature control system for water dispenser

By using a control system combining a multi-factor control algorithm module and a fuzzy control algorithm module in the water dispenser, the problem of inaccurate control of the water dispenser's water dispenser's water dispenser is solved, and the accurate, rapid control of the water dispenser's water temperature and reduction of energy consumption are achieved.

CN119472836APending Publication Date: 2025-02-18HUOSHENG IND TECH CO LTD
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Patent Information

Application Number
CN202311002552.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-08-09
Publication Date
2025-02-18

AI Technical Summary

Technical Problem

The prior art is difficult to achieve accurate and rapid control of the effluent temperature in the water dispenser, while reducing energy consumption while quickly responding to users' drinking water needs.

Method used

The control system is adopted that combines a multi-factor control algorithm module and a fuzzy control algorithm module. Through multi-factor control rules and fuzzy control rules, control set values ​​and control parameters are generated to accurately control the water discharge temperature of the water dispenser. The system also includes a monitoring module and a control factor synthesis module, which monitors working condition parameters in real time and generates control evaluation parameters, and updates control rules through the learning module.

Benefits of technology

It realizes accurate and rapid control of the water discharge temperature of the water dispenser, reduces energy consumption, and quickly responds to users' drinking water needs.

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Abstract

The invention relates to an outlet water temperature control system for a water dispenser, and the system comprises a multi-factor control algorithm module. The control unit is configured to generate a control set value corresponding to an execution unit based on a multi-factor control rule related to the execution unit of the water dispenser and according to a target temperature of outlet water and a working condition parameter related to the execution unit; the fuzzy control algorithm module is configured to generate a control parameter for the execution unit based on a fuzzy control rule related to the execution unit and according to the control set value and the actual execution condition related to the execution unit in the working condition parameters; the monitoring module is configured to monitor the actual execution condition of the execution unit in the working condition parameters; the control factor synthesis module is configured to generate control evaluation parameters based on the target temperature and the actual outlet water temperature in the working condition parameters; wherein the execution unit of the water dispenser controls water output of the water dispenser according to the control parameters.
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Description

Technical Field

[0001] The present application relates to the field of water dispensers, and more specifically, to a water outlet temperature control system, method, water dispenser, and computer-readable storage medium for a water dispenser. Background Art

[0002] Electromagnetic heaters are devices that convert electrical energy into thermal energy using the principle of electromagnetic induction. They can rectify AC power with a voltage of 220V and a frequency of 50 / 60Hz into DC power, and then convert DC power into high-frequency high-voltage power with a frequency of 20-40kHz to heat the product. Since the coil itself basically does not generate heat during the electromagnetic heating process, the electromagnetic heater generally has a long life and does not require maintenance, thus eliminating the maintenance and replacement costs. On the other hand, the contradiction between energy and the environment is becoming increasingly prominent at this stage, and the total energy consumption and energy intensity of buildings are also increasing. Therefore, environmentally friendly electrical equipment that reduces carbon emissions is receiving more and more attention.

[0003] In view of this, it is necessary to propose a control system that can be used for accurately controlling the outlet water temperature of a water dispenser. Summary of the invention

[0004] Embodiments of the present application provide a water outlet temperature control system, method, water dispenser, and computer-readable storage medium for a water dispenser, which are used to accurately and quickly control the water outlet temperature, thereby quickly responding to the user's drinking water needs while reducing energy consumption.

[0005] According to one aspect of the present application, a water outlet temperature control system for a water dispenser is provided, comprising: a multi-factor control algorithm module, which is configured to generate a control setting value corresponding to the execution unit based on a multi-factor control rule regarding the execution unit of the water dispenser and according to a target temperature of the water outlet and an operating parameter regarding the execution unit; a fuzzy control algorithm module, which is configured to generate a control parameter for the execution unit based on a fuzzy control rule regarding the execution unit and according to the control setting value and an actual execution condition of the execution unit in the operating parameters; a monitoring module, which is configured to monitor the actual execution condition of the execution unit in the operating parameters; and a control factor synthesis module, which is configured to generate a control evaluation parameter based on the target temperature and the actual water outlet temperature in the operating parameters; wherein the execution unit of the water dispenser controls the water outlet of the water dispenser according to the control parameter.

[0006] In some embodiments of the present application, optionally, the system further includes a learning module configured to update the multi-factor control rule and / or the fuzzy control rule based on the control evaluation parameter.

[0007] In some embodiments of the present application, optionally, the multi-factor control rules include control rules under multiple stages, and the multi-factor control algorithm module is also configured to determine the current stage among the multiple stages based on the water outlet flow of the water pump determined by the monitoring module, and provide the multi-factor control rules under the current stage based on the current stage.

[0008] In some embodiments of the present application, optionally, the execution unit includes: a water pump, a heater, a radiator, and a water circuit valve; the monitoring module includes: a first flow meter configured to monitor the water outlet flow of the water pump; a power meter configured to monitor the current power of the heater; a thermometer configured to monitor the ambient temperature around the radiator; and a second flow meter configured to monitor the return water flow of the water circuit valve; and the control parameters include: a water outlet flow control parameter of the water pump, a heating power control parameter of the heater, a temperature control parameter of the radiator, and a return water flow control parameter of the water circuit valve.

[0009] In some embodiments of the present application, optionally, the learning module is configured to also update the multi-factor control rules in the current stage based on the current stage.

[0010] In some embodiments of the present application, optionally, the operating parameters also include: water inlet temperature, water inlet water pressure, water temperature in the tube of the heater, and water temperature in the water mixer.

[0011] In some embodiments of the present application, optionally, the multi-factor control algorithm module includes: a control rule module, which is configured to generate a comprehensive control quantity based on the multi-factor control rule and in accordance with the target temperature and the operating parameters; a tracking differentiator, which is configured to smooth the comprehensive control quantity; and a control factor decomposer, which is configured to decompose the smoothed comprehensive control quantity into a control setting value for the water pump, a control setting value for the heater, a control setting value for the radiator, and a control setting value for the water circuit valve.

[0012] In some embodiments of the present application, optionally, the fuzzy control algorithm module includes: a water pump control algorithm module, which is configured to generate control parameters about the water pump based on fuzzy control rules about the water pump and according to the control setting value about the water pump and the water outlet flow rate of the water pump; a heater control algorithm module, which is configured to generate control parameters about the heater based on fuzzy control rules about the heater and according to the control setting value about the heater and the current power of the heater; a radiator control algorithm module, which is configured to generate control parameters about the radiator based on fuzzy control rules about the radiator and according to the control setting value about the radiator and the ambient temperature around the radiator; and a water circuit valve control algorithm module, which is configured to generate control parameters about the water circuit valve based on fuzzy control rules about the water circuit valve and according to the control setting value about the water circuit valve and the return water flow rate of the water circuit valve.

[0013] In some embodiments of the present application, optionally, the fuzzy control rules regarding the water pump include a P control strategy, an I control strategy and a D control strategy determined according to the deviation and the rate of change of the control set value of the water pump and the water outlet flow of the water pump; the fuzzy control rules regarding the heater include a P control strategy, an I control strategy and a D control strategy determined according to the deviation and the rate of change of the control set value of the heater and the current power of the heater; the fuzzy control rules regarding the radiator include a P control strategy, an I control strategy and a D control strategy determined according to the deviation and the rate of change of the control set value of the radiator and the ambient temperature around the radiator; and the fuzzy control rules regarding the water circuit valve include a P control strategy, an I control strategy and a D control strategy determined according to the deviation and the rate of change of the control set value of the water circuit valve and the return water flow of the water circuit valve.

[0014] In some embodiments of the present application, optionally, the system further includes: an overheating control unit configured to control the radiator to be turned on when the ambient temperature around the radiator exceeds a preset value.

[0015] In some embodiments of the present application, optionally, the heater is an electromagnetic induction heater.

[0016] In some embodiments of the present application, optionally, the control factor synthesis module is configured to generate the control evaluation parameter further based on the rated water output, the actual water output in the operating condition parameters, and the ambient temperature around the radiator.

[0017] According to another aspect of the present application, a method for controlling the outlet water temperature of a water dispenser is provided, comprising the following steps: providing a multi-factor control rule and a fuzzy control rule for an execution unit of the water dispenser; generating a control setting value corresponding to the execution unit based on the multi-factor control rule and in accordance with a target outlet water temperature and an operating parameter of the execution unit; and generating a control parameter for the execution unit based on the fuzzy control rule and in accordance with the control setting value and an actual execution condition of the execution unit in the operating parameter; generating a control evaluation parameter based on the target temperature and the actual outlet water temperature in the operating parameter; and updating the multi-factor control rule and the fuzzy control rule based on the control evaluation parameter; wherein the execution unit of the water dispenser controls the outlet water of the water dispenser according to the control parameter.

[0018] According to another aspect of the present application, a water outlet temperature control system for a water dispenser is provided, comprising: a memory configured to store instructions; and a processor configured to execute the instructions to implement the following control steps: providing a multi-factor control rule and a fuzzy control rule for an execution unit of the water dispenser; generating a control setting value corresponding to the execution unit based on the multi-factor control rule and according to the target temperature of the water outlet and the operating parameters of the execution unit; generating a control parameter for the execution unit based on the fuzzy control rule and according to the control setting value and the actual execution of the execution unit in the operating parameters; generating a control evaluation parameter based on the target temperature and the actual water outlet temperature in the operating parameters; and updating the multi-factor control rule and the fuzzy control rule based on the control evaluation parameter; wherein the execution unit of the water dispenser controls the water outlet of the water dispenser according to the control parameter. According to another aspect of the present application, a water dispenser is provided, comprising any one of the water outlet temperature control systems described above.

[0019] According to another aspect of the present application, a computer-readable storage medium is provided, wherein instructions are stored in the computer-readable storage medium, and wherein when the instructions are executed by a processor, the processor is caused to execute any one of the methods described above. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The above and other objects and advantages of the present application will become more fully apparent from the following detailed description in conjunction with the accompanying drawings, wherein the same or similar elements are represented by the same reference numerals.

[0021] Figure 1 A water outlet temperature control system for a water dispenser according to an embodiment of the present application is shown;

[0022] Figure 2A multi-factor control rule according to an embodiment of the present application is shown;

[0023] Figure 3 An I control strategy for a water pump according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0024] For the purpose of brevity and illustration, the principles of the present application are described herein mainly with reference to its exemplary embodiments. However, those skilled in the art will readily recognize that the same principles are equally applicable to all types of water outlet temperature control systems, methods, water dispensers, computer-readable storage media for water dispensers, and that these same or similar principles may be implemented therein, and any such changes do not depart from the true spirit and scope of the present application.

[0025] One aspect of the present application provides a water outlet temperature control system for a water dispenser, such as Figure 1 As shown, the water outlet temperature control system 10 for a water dispenser (hereinafter referred to as system 10) includes a multi-factor control algorithm module 101, a fuzzy control algorithm module 102, monitoring modules 211-241, a control factor synthesis module 103 and an optional learning module 104. Through these unit modules, the system 10 can achieve accurate and rapid control of the water outlet temperature, thereby quickly responding to the user's drinking water needs while reducing energy consumption.

[0026] The multi-factor control algorithm module 101 of the system 10 can generate control setting values ​​1131-1134 corresponding to each of the execution units 201-204 based on the multi-factor control rules 141 of the execution units 201-204 of the water dispenser (its overall structure is not shown in the figure) and according to the target water outlet temperature A set by the user and the operating parameters B of the execution units 201-204. Thus, a target value for achieving the target water outlet temperature can be generated, and this target value can have the same unit as the corresponding part in the operating parameter B, so it can be directly compared with the value actually collected from the execution units 201-204. However, the execution units 201-204 cannot directly recognize this physical quantity, so it must be converted into control parameters that the execution units 201-204 can understand. The fuzzy control algorithm module 102, which will be described in detail below, will be used to generate these control parameters.

[0027] In some embodiments of the present application, the execution units 201-204 may include specific execution mechanisms such as a water pump 201, a heater 202, a radiator 203, and a water circuit valve 204 (including a return valve of a water mixer). The water pump 201 is used to pump water to the outlet, the heater 202 heats the water, and the radiator 203 is mainly used to dissipate heat from high-power equipment in the water dispenser. In addition, the water circuit valve 204 can adjust whether to return waste liquid (called waste liquid because its temperature does not meet the standard) and the proportion of waste liquid returned to the heater 202 by switching its open / closed state and the opening degree, and the waste liquid will reach a preset temperature after secondary heating and can also be output through the water outlet. The water dispenser can adjust the outlet water temperature through these specific execution units.

[0028] In some embodiments of the present application, the heater 202 is an electromagnetic induction heater. As described above, since the coil itself generates substantially no heat during the electromagnetic heating process, the electromagnetic induction heater generally has a long life and does not require maintenance, thereby eliminating maintenance and replacement costs.

[0029] The monitoring modules 211 - 241 of the system 10 can monitor the actual execution status of the execution units 201 - 204 in the operating parameters.

[0030] Corresponding to the execution units 201-204, the operating condition parameter B may include the water flow rate of the water pump 201 monitored by the first flow meter 211, the current power of the heater 202 monitored by the power meter 221, the ambient temperature around the radiator 203 monitored by the thermometer 231 (generally speaking, the thermometer 231 is used to monitor the temperature of the high-power core device of the water dispenser, so the thermometer 231 can be coupled to the surface of the high-power core device), and the return water flow rate of the water valve 204 monitored by the second flow meter 241. In addition, the operating condition parameter B may also include the water inlet temperature, the water inlet water pressure, the water temperature in the pipe of the heater 202, the water temperature in the mixer, etc. The multi-factor control algorithm module 101 can determine the control set values ​​1131-1134 according to these operating condition parameters B. It should be noted that the operating condition parameter B here is a parameter that can be directly or indirectly affected by the working state of the execution units 201-204 and is used to reflect the working state of the water dispenser. Other parameters of the water dispenser that are not affected by the working status of the execution units 201 - 204 (eg, the weight of the water dispenser, etc.) are not considered to belong to the working condition parameter B.

[0031] In some embodiments of the present application, the multi-factor control algorithm module 101 includes a control rule module 111, a tracking differentiator 112, and a control factor decomposer 113. The control rule module 111 can generate a comprehensive control amount based on the multi-factor control rule 141 and according to the target temperature A and the operating parameter B. The tracking differentiator 112 can perform smoothing processing on the comprehensive control amount. The control factor decomposer 113 is configured to decompose the smoothed comprehensive control amount into a control setting value 1131 for the water pump 201, a control setting value 1132 for the heater 202, a control setting value 1133 for the radiator 203, and a control setting value 1134 for the water valve 204.

[0032] Specifically, the control rule module 111 can output the total output V(t) for the execution units 201-204 according to the target temperature A, the current outlet water temperature and the multi-factor control rule 141 under the current state, which is a function of time t. However, the output value of V(t) may cause the system to overshoot, so that the final outlet water temperature is higher than the target temperature A. In order to suppress the occurrence of system overshoot, the tracking differentiator 112 can be used to play a buffering filter role. For a suddenly increased control signal, the pulse signal will be converted into a pulse signal with a slope after being processed by the tracking differentiator 112, avoiding the overshoot caused by the output result of the algorithm causing the execution units 201-204 to use the maximum output power at the beginning.

[0033] The fuzzy control algorithm module 102 of the system 10 can generate control parameters for the execution units 201-204 based on the fuzzy control rules 142 about the execution units 201-204 and according to the control setting values ​​1131-1134 and the actual execution conditions of the execution units 201-204 in the operating parameters B (which can be detected by sensors coupled to the execution units 201-204, respectively). Subsequently, the execution units 201-204 control the water output of the water dispenser according to the control parameters. The fuzzy control algorithm module 102 realizes rapid modulation of the control strategy in a feedforward control manner. In this process, the control loop is short, so the control is relatively rapid, avoiding large deviations in the outlet water temperature caused by excessively long response times.

[0034] Corresponding to the execution units 201 - 204 , the control parameters may include a water outlet flow control parameter E of the water pump 201 , a heating power control parameter F of the heater 202 , a temperature control parameter G of the radiator 203 , and a return water flow control parameter H of the water circuit valve 204 .

[0035] In some embodiments of the present application, the fuzzy control algorithm module 102 includes: a water pump control algorithm module 121, which is configured to generate control parameters for the water pump 201 based on the fuzzy control rule 142 about the water pump 201 and according to the control setting value 1131 about the water pump 201 and the water flow rate of the water pump 201; a heater control algorithm module 122, which is configured to generate control parameters for the heater 202 based on the fuzzy control rule 142 about the heater 202 and according to the control setting value 1132 about the heater 202 and the current power of the heater 202; a heat dissipation algorithm module 121, which is configured to generate control parameters for the heater 202 based on the fuzzy control rule 142 about the heater 202 and according to the control setting value 1132 about the heater 202 and the current power of the heater 202; The radiator control algorithm module 123 is configured to generate control parameters about the radiator 203 based on the fuzzy control rule 142 about the radiator 203 and according to the control setting value 1133 about the radiator 203 and the ambient temperature around the radiator 203 (for example, the temperature of the high-power device in the water dispenser); and the water circuit valve control algorithm module 124 is configured to generate control parameters about the water circuit valve 204 based on the fuzzy control rule 142 about the water circuit valve 204 and according to the control setting value 1134 about the water circuit valve 204 and the return water flow of the water circuit valve 204.

[0036] In some embodiments of the present application, the fuzzy control rules 142 for the water pump 201 include a P control strategy, an I control strategy, and a D control strategy determined based on the deviation and the rate of change of the control setting value 1131 for the water pump 201 and the water outlet flow rate of the water pump 201.

[0037] In some examples, for different errors E and error change rates Ec, the parameters KP, KI, and KD in the control process can meet the following rules: (1) When the |E| value is larger, a larger KP and a smaller KD should be adopted, so that the system can achieve a faster response speed. (2) When the |E| value is medium, a smaller KP should be adopted and KI and KD should be adjusted appropriately, so that the system can obtain a smaller overshoot. (3) When the |E| value is small, a larger KP and KI should be adopted, and in order to prevent oscillation near the equilibrium point, an appropriate Ki should be adopted, so that the system can achieve good stability. Here, KP, KI, and KD are the adjustment directions of P, I, and D.

[0038] Figure 3 1 shows an I control strategy (KI) for a water pump according to an embodiment of the present application, where E represents an error, that is, represents the deviation between the control setting value 1131 of the water pump 201 and the water flow rate of the water pump 201, and Ec represents the error change rate. For example, when the error is expressed as PS (positive and small) and the error change rate is PB (positive and large), the adjustment direction of the I control strategy for the control setting value 1131 of the water pump 201 is PB (positive and large).

[0039] In addition, it should be noted that, unlike the traditional PID control strategy, the PID control strategy of the present application is updateable, which is mainly achieved through the learning module 104 described below.

[0040] Similarly, the fuzzy control rules 142 for the heater 202 include a P control strategy, an I control strategy, and a D control strategy determined according to the deviation of the control setting value 1132 for the heater 202 and the current power of the heater 202 and the change rate thereof.

[0041] Similarly, the fuzzy control rules 142 for the radiator 203 include a P control strategy, an I control strategy, and a D control strategy determined according to the deviation of the control setting value 1133 for the radiator 203 and the ambient temperature around the radiator 203 and the rate of change thereof.

[0042] Similarly, the fuzzy control rules 142 for the water circuit valve 204 include a P control strategy, an I control strategy and a D control strategy determined according to the deviation and the change rate of the control setting value 1134 for the water circuit valve 204 and the return water flow of the water circuit valve 204 .

[0043] The control factor synthesis module 103 of the system 10 can generate control evaluation parameters based on the target temperature A and the actual outlet water temperature in the operating parameter B. Based on the control principle of the system 10, when the execution units 201-204 perform control operations based on their control parameters, we need a quantifiable standard to evaluate whether the current control strategy is optimal. The control evaluation parameters generated by the control factor synthesis module 103 can provide a quantitative basis.

[0044] In some embodiments of the present application, the control factor synthesis module 103 is configured to generate a control evaluation parameter based on the rated water output, the actual water output in the operating condition parameter B, and the ambient temperature around the radiator 203 .

[0045] In some examples, the control evaluation parameter may be a function of the temperature deviation (the absolute value of the difference between the target temperature A and the actual water outlet temperature), the actual water outlet, the rated water outlet, and the ambient temperature around the radiator 203:

[0046] F={A(t),T_c(t)}, where:

[0047] A(t)=((1+E(t))*(1+E(t))*L(t)) / Le, E(t)=|T_o(t)-T_i(t)|, where,

[0048] F represents the matrix of control evaluation parameters output by the control factor synthesis module 103, which is a function of the deviation water volume product A(t) and the ambient temperature T_c(t) around the radiator 203. In addition, E(t) is the absolute value of the difference between the actual outlet water temperature T_o and the target temperature A T_i, L(t) represents the actual outlet water volume, and Le represents the rated outlet water volume.

[0049] The learning module 104 of the system 10 can obtain the multi-factor control rule 141 used by the multi-factor control algorithm module 101 and the fuzzy control rule 142 used by the fuzzy control algorithm module 102, and can also update the multi-factor control rule 141 and the fuzzy control rule 142 based on the control evaluation parameter. For example, in some examples, during the long-term operation of the system 10, the learning module 104 may find that the fuzzy control rule table set by the fuzzy control algorithm module 102 according to the fuzzy control rule 142 cannot achieve optimal control, or it takes a long time to achieve optimal control. At this time, if the learning module 104 can deduce a better control rule, the learning module 104 will automatically update the fuzzy control table of the corresponding control factor. For example, the learning module 104 can automatically optimize the P control strategy, I control strategy and D control strategy of the water pump control algorithm module 121. Similarly, the learning module 104 can automatically optimize the P control strategy, I control strategy and D control strategy of the heater control algorithm module 122, the radiator control algorithm module 123 and the water valve control algorithm module 124.

[0050] In summary, based on the user's usage habits and the machine's usage environment, the learning module 104 can update the P control strategy, I control strategy and D control strategy corresponding to the four control units of the water pump control algorithm module 121, the heater control algorithm module 122, the radiator control algorithm module 123 and the water valve control algorithm module 124. In other words, the learning module 104 has 4×3=12 control strategies for updating and managing fuzzy control (specifically, it can be Figure 3 table of rules shown).

[0051] In some embodiments of the present application, the multi-factor control rule 141 includes control rules under multiple stages, and the multi-factor control algorithm module 101 is also configured to determine the current stage in the multiple stages based on the water outlet flow of the water pump 201, and provide the multi-factor control rule 141 under the current stage based on the current stage.

[0052] The heating process of the system 10 is subject to multiple control factors. We found in the experiment that the entire heating process can be divided into three stages: the initial stage of heating, the middle stage of heating, and the late stage of heating. The control strategy of each control factor can be dynamically adjusted in combination with the characteristics and requirements of each stage, so as to stably, quickly and accurately output water of the user's desired water temperature.

[0053] The control factors of each stage are classified to form a rule group, which is stored in the learning module 104. The decomposition coefficients in the rule group are factored through continuous rolling optimization of the learning module 104, combined with the rule group strategy and user settings. After being executed by the factor executor, the product of the water flow rate and water temperature per unit time is used as feedback information of the factor synthesizer, which is input into the learning module 104, and the rule group strategy is updated and iterated through the learning module 104.

[0054] Figure 2 The multi-factor control rule according to an embodiment of the present application is shown, which is divided into three stages: initial stage, middle stage and late stage, and each stage has the strategy characteristics shown in the figure. In addition, as a specific control strategy, the output water flow reflects the control setting value 1131 of the water pump 201, the heating power reflects the control setting value 1132 of the heater 202, the internal temperature control reflects the control setting value 1133 of the radiator 203, and the branch return water flow reflects the control setting value 1134 of the water valve 204.

[0055] In some examples, the output water flow rate determines which stage is in, and the deviation between the set temperature and the current output temperature determines whether a steady state is reached. If a steady state is reached, it can switch to the next stage.

[0056] In some embodiments of the present application, the learning module 104 is configured to update the multi-factor control rule 141 in the current stage based on the current stage.

[0057] In some embodiments of the present application, the system 10 further includes an overheating control unit (not shown in the figure), which is configured to control the opening of the radiator 203 when the ambient temperature around the radiator 203 exceeds a preset value. The temperature control system of the key components inside the water dispenser can also be controlled using a forward predictive control algorithm model to avoid overheating of key components due to control lag, causing circuit damage or other safety issues. For example, when the IGBT module is working, the ambient temperature control module will collect the ambient temperature in real time, and can estimate the working condition of the IGBT module according to the prediction algorithm, thereby realizing early intervention in the working state of the radiator 203.

[0058] Another aspect of the present application provides a method for controlling the water outlet temperature of a water dispenser, which includes the following steps: providing a multi-factor control rule and a fuzzy control rule for an execution unit of the water dispenser; generating a control setting value corresponding to the execution unit based on the multi-factor control rule and according to the target temperature of the water outlet and the operating parameters of the execution unit; and generating a control parameter for the execution unit based on the fuzzy control rule and according to the control setting value and the actual execution status of the execution unit in the operating parameters, so that the execution unit controls the water outlet of the water dispenser according to the control parameters; wherein the method also includes: generating a control evaluation parameter based on the target temperature and the actual water outlet temperature in the operating parameters; and updating the multi-factor control rule and the fuzzy control rule based on the control evaluation parameter.

[0059] The various steps of the outlet water temperature control method can be carried out according to the various modules of the system 10 described in detail above, and the contents thereof are cited here and will not be elaborated in this article due to space limitations.

[0060] Another aspect of the present application provides a water outlet temperature control system for a water dispenser, comprising: a memory configured to store instructions; and a processor configured to execute instructions to implement the following control steps: providing multi-factor control rules and fuzzy control rules for an execution unit of the water dispenser; generating a control setting value corresponding to the execution unit based on the multi-factor control rule and according to the target temperature of the water outlet and the operating parameters of the execution unit; generating control parameters for the execution unit based on the fuzzy control rule and according to the control setting value and the actual execution status of the execution unit in the operating parameters, so that the execution unit controls the water outlet of the water dispenser according to the control parameters; generating control evaluation parameters based on the target temperature and the actual water outlet temperature in the operating parameters; and updating the multi-factor control rules and fuzzy control rules based on the control evaluation parameters.

[0061] The various control steps implemented by executing the instructions can be carried out according to the various modules of the system 10 described in detail above, the contents of which are quoted here and will not be elaborated in this article due to space limitations.

[0062] Another aspect of the present application provides a water dispenser, which includes any one of the water outlet temperature control systems described above.

[0063] According to another aspect of the present application, a computer-readable storage medium is provided, in which instructions are stored. When the instructions are executed by a processor, the processor executes any one of the above-described methods for controlling the outlet temperature of a water dispenser. The computer-readable medium referred to in the present application includes various types of computer storage media, which can be any available medium that can be accessed by a general-purpose or special-purpose computer. For example, the computer-readable medium can include RAM, ROM, EPROM, EEPROM, etc. 2PROM, register, hard disk, removable disk, CD-ROM or other optical disk storage, disk storage or other magnetic storage device, or can be used to carry or store the desired program code unit in the form of instruction or data structure and can be accessed by general or special computer, or general or special processor. As used herein, the disk usually copies data magnetically, while the dish uses laser to optically copy data. The above combination should also be included in the protection scope of computer-readable medium. Exemplary storage medium is coupled to the processor so that the processor can read and write information from / to the storage medium. In an alternative solution, the storage medium can be integrated into the processor. The processor and the storage medium can reside in the ASIC. The ASIC can reside in the user terminal. In an alternative solution, the processor and the storage medium can reside in the user terminal as discrete components.

[0064] The above are only specific implementations of the present application, but the protection scope of the present application is not limited thereto. Those skilled in the art can think of other feasible changes or substitutions based on the technical scope disclosed in the present application, and such changes or substitutions are all included in the protection scope of the present application. In the absence of conflict, the implementation modes of the present application and the features in the implementation modes can also be combined with each other. The protection scope of the present application shall be subject to the description of the claims.

Claims

1. A water outlet temperature control system for a water dispenser, characterized in that: The system comprises: A multi-factor control algorithm module, configured to generate a control setting value corresponding to the execution unit based on a multi-factor control rule for the execution unit of the water dispenser and according to a target temperature of the outlet water and a working condition parameter of the execution unit; A fuzzy control algorithm module, configured to generate a control parameter for the execution unit based on a fuzzy control rule for the execution unit and according to the control setting value and the actual execution status of the execution unit in the operating condition parameters; A monitoring module configured to monitor the actual execution status of the execution unit in the operating condition parameters; and A control factor synthesis module is configured to generate a control evaluation parameter based on the target temperature and the actual water outlet temperature in the operating condition parameters; wherein the execution unit of the water dispenser controls the water outlet of the water dispenser according to the control parameter.

2. The system according to claim 1, wherein: The system further includes a learning module configured to update the multi-factor control rule and / or the fuzzy control rule based on the control evaluation parameter.

3. The system according to claim 2, wherein: The multi-factor control rules include control rules under multiple stages, and the multi-factor control algorithm module is also configured to determine the current stage among the multiple stages based on the water outlet flow of the water pump determined by the monitoring module, and provide the multi-factor control rules under the current stage based on the current stage.

4. The system according to claim 3, wherein: The execution unit includes: a water pump, a heater, a radiator, and a water valve; The monitoring module includes: a first flow meter configured to monitor the water flow rate of the water pump; a power meter configured to monitor the current power of the heater; a thermometer configured to monitor the ambient temperature around the radiator; and a second flow meter configured to monitor the return water flow rate of the water circuit valve; and The control parameters include: a water outlet flow control parameter of the water pump, a heating power control parameter of the heater, a temperature control parameter of the radiator, and a return water flow control parameter of the water circuit valve.

5. The system according to claim 3, wherein: The learning module is configured to update the multi-factor control rule in the current stage based on the current stage.

6. The system according to claim 1, wherein: The operating parameters also include: water inlet temperature, water inlet water pressure, water temperature in the heater tube, and water temperature in the mixer.

7. The system according to claim 6, wherein: The multi-factor control algorithm module includes: A control rule module, configured to generate a comprehensive control amount based on the multi-factor control rule and according to the target temperature and the operating condition parameters; a tracking differentiator configured to smooth the integrated control amount; and A control factor decomposer is configured to decompose the smoothed integrated control amount into a control setting value for the water pump, a control setting value for the heater, a control setting value for the radiator, and a control setting value for the water circuit valve.

8. The system according to claim 7, wherein: The fuzzy control algorithm module includes: A water pump control algorithm module, configured to generate a control parameter for the water pump based on a fuzzy control rule for the water pump and in accordance with a control setting value for the water pump and a water outlet flow rate of the water pump; a heater control algorithm module configured to generate a control parameter for the heater based on a fuzzy control rule for the heater and in accordance with a control setting value for the heater and a current power of the heater; a radiator control algorithm module configured to generate a control parameter for the radiator based on a fuzzy control rule for the radiator and in accordance with a control setting value for the radiator and an ambient temperature around the radiator; and The water circuit valve control algorithm module is configured to generate control parameters for the water circuit valve based on a fuzzy control rule for the water circuit valve and in accordance with a control setting value for the water circuit valve and a return water flow rate of the water circuit valve.

9. The system according to claim 8, wherein: The fuzzy control rules for the water pump include a P control strategy, an I control strategy and a D control strategy determined according to the deviation and the change rate of the control setting value of the water pump and the water flow rate of the water pump; The fuzzy control rules for the heater include a P control strategy, an I control strategy and a D control strategy determined according to the deviation between the control setting value for the heater and the current power of the heater and the rate of change thereof; The fuzzy control rules for the radiator include a P control strategy, an I control strategy and a D control strategy determined according to the deviation of the control setting value of the radiator and the ambient temperature around the radiator and the rate of change thereof; and The fuzzy control rules for the water circuit valve include a P control strategy, an I control strategy and a D control strategy determined according to the deviation and the change rate of the control setting value of the water circuit valve and the return water flow of the water circuit valve.

10. The system according to claim 4, wherein: Also includes: An overheat control unit is configured to control the radiator to be turned on when the ambient temperature around the radiator exceeds a preset value.

11. The system according to claim 4, wherein: The heater is an electromagnetic induction heater.

12. The system of claim 1, wherein: The control factor synthesis module is configured to generate the control evaluation parameter based on the rated water output, the actual water output in the operating condition parameters, and the ambient temperature around the radiator.

13. A method for controlling the outlet water temperature of a water dispenser, characterized in that: The method comprises: Providing multi-factor control rules and fuzzy control rules for the execution unit of the water dispenser; generating a control setting value corresponding to the execution unit based on the multi-factor control rule and in accordance with the target temperature of the outlet water and the operating parameters of the execution unit; and Generate a control parameter for the execution unit based on the fuzzy control rule and according to the control setting value and the actual execution status of the execution unit in the operating parameters; generate a control evaluation parameter based on the target temperature and the actual outlet water temperature in the operating parameters; and Based on the control evaluation parameters, the multi-factor control rules and the fuzzy control rules are updated; wherein, The execution unit of the water dispenser controls the water output of the water dispenser according to the control parameters.

14. A water outlet temperature control system for a water dispenser, characterized in that: The system comprises: a memory configured to store instructions; and A processor configured to execute the instructions to implement the following control steps: Providing multi-factor control rules and fuzzy control rules for the execution unit of the water dispenser; Generate a control setting value corresponding to the execution unit based on the multi-factor control rule and in accordance with the target temperature of the outlet water and the operating parameters of the execution unit; Generate a control parameter for the execution unit based on the fuzzy control rule and according to the control setting value and the actual execution status of the execution unit in the operating condition parameter; Generate a control evaluation parameter based on the target temperature and the actual outlet water temperature in the operating condition parameter; and Based on the control evaluation parameters, the multi-factor control rules and the fuzzy control rules are updated; wherein, The execution unit of the water dispenser controls the water output of the water dispenser according to the control parameters.

15. A water dispenser, characterized in that: The water dispenser comprises a water outlet temperature control system as described in any one of claims 1-12 and 14.

16. A computer-readable storage medium having instructions stored therein, characterized in that: When the instructions are executed by a processor, the processor is caused to perform the method as claimed in claim 13 .