An intelligent milk mixing closed-loop control method based on multi-parameter real-time feedback

Abstract

The application discloses an intelligent milk powder mixing closed-loop control method based on multi-parameter real-time feedback. In view of the low mixing accuracy, unstable temperature control and lack of real-time optimization of the existing milk powder mixing equipment, the method obtains target milk powder mixing parameters, calculates the required water and milk powder amounts, controls the water and milk powder output, heating and mixing process, detects the milk volume, temperature and mixing state in real time, adjusts the water amount, milk powder amount, heating time and mixing parameters in a closed loop according to the deviation between the detection result and the target, and realizes automatic optimization and accurate control of the milk powder mixing process. The system returns the actual output data to the terminal for recording, and allows the user to adjust the parameters before milk powder mixing to optimize the control strategy. The application realizes intelligent adjustment of the whole milk powder mixing process by using multi-parameter closed-loop feedback, and significantly improves the mixing accuracy, temperature stability and feeding safety.

Description

Technical Field

[0001] This invention relates to the field of infant feeding equipment control technology, and in particular to an intelligent closed-loop control method for formula preparation based on real-time feedback of multiple parameters. Background Technology

[0002] During infant feeding, the accuracy of milk formulation, the uniformity of mixing, and temperature control directly affect the infant's nutrient intake and digestion. With the widespread use of formula preparation equipment, higher demands are placed on the accuracy, stability, and automation level of the formula preparation process.

[0003] Currently, traditional manual formula preparation is still widely used in practice, requiring manual measurement of water, addition of formula powder, and adjustment of water temperature. This process is susceptible to factors such as measurement errors, changes in operating conditions, and environmental conditions, leading to fluctuations in the water-to-powder ratio and unstable temperature control, making it difficult to guarantee consistent formula preparation results. Furthermore, the degree of formula powder dissolution and the uniformity of mixing are also difficult to control effectively.

[0004] To improve milk preparation efficiency, automatic or semi-automatic milk preparation equipment has emerged in existing technologies. These devices typically feature quantitative water supply, preset heating, and basic mixing functions, reducing manual operation intensity to some extent. However, certain limitations remain in actual operation. Their control methods are mostly based on preset parameters or open-loop mechanisms, lacking the ability to dynamically adjust the operating status; water volume and milk powder output are easily affected by flow fluctuations, mechanical errors, and pipeline residues, resulting in insufficient mixing accuracy and repeatability; temperature control usually relies on single-point detection, lacking continuous adjustment capabilities for the heating process, and resulting in limited stability of the output milk temperature.

[0005] Furthermore, existing equipment typically does not simultaneously monitor key parameters such as milk volume, actual temperature, and mixing state, making it impossible to dynamically feedback and adjust based on deviations between actual output and target parameters. The entire milk preparation process remains in a non-closed-loop control state. Simultaneously, the equipment makes low utilization of operational data, making it difficult to adaptively optimize control strategies based on historical data, and exhibits shortcomings in multi-parameter collaborative control.

[0006] In summary, existing technologies still have shortcomings in multi-parameter collaborative control, real-time feedback adjustment, and closed-loop optimization during the milk preparation process, making it difficult to meet the high precision and stability control requirements of the milk preparation process. Therefore, it is necessary to provide an intelligent closed-loop control method for milk preparation based on multi-parameter real-time feedback to achieve dynamic adjustment and precise control of the milk preparation process. Summary of the Invention

[0007] To address the shortcomings of existing milk powder mixing equipment in terms of milk powder ratio accuracy, temperature stability, and dynamic process adjustment, this invention provides an intelligent closed-loop control method and system for milk powder mixing based on real-time feedback of multiple parameters, so as to achieve dynamic adjustment, precise control, and personalized optimization of the milk powder mixing process.

[0008] The technical solution of this invention includes: by acquiring target formula preparation parameters and combining them with formula preparation status parameters, performing multi-parameter coordinated closed-loop regulation of water volume, milk powder volume, heating, and mixing process, so that the formula preparation output gradually approaches the target state. The target parameters can be determined according to the infant's physiological characteristics, feeding needs, and drinking temperature requirements; the status parameters are used to characterize the actual output of the formula preparation process, including but not limited to milk volume, temperature, and mixing uniformity.

[0009] The system adjusts control variables independently or jointly based on deviations in various parameters to achieve dynamic closed-loop control, ensuring accuracy and stability during milk preparation regardless of equipment status or environmental changes. Simultaneously, the system can utilize historical operating data to optimize and adjust the control strategy, enabling personalized milk preparation control.

[0010] Compared with existing technologies, this invention upgrades open-loop or single-parameter control to multi-parameter real-time closed-loop collaborative control, which can significantly improve the accuracy of milk powder ratio, milk temperature stability and consistency of milk preparation, providing scientific and reliable technical support for infant feeding. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 A flowchart illustrating an intelligent closed-loop control method for formula preparation based on real-time feedback of multiple parameters, provided in an embodiment of the present invention;

[0013] Figure 2 This is a schematic diagram of the intelligent milk-making closed-loop control system provided in an embodiment of the present invention;

[0014] Figure 3 This is a schematic diagram showing the composition of each functional unit of the milk preparation device in an embodiment of the present invention;

[0015] Figure 4 This is a schematic diagram of the multi-parameter feedback and closed-loop regulation control logic in an embodiment of the present invention;

[0016] Figure 5 This is a schematic diagram illustrating the data interaction between the terminal and the milk preparation device in an embodiment of the present invention. Specific implementation methods

[0017] The present invention will be further described below with reference to specific embodiments, but the scope of protection of the present invention is not limited to the following embodiments.

[0018] Implementation Method 1

[0019] This embodiment provides an intelligent closed-loop control method for formula preparation based on real-time feedback of multiple parameters, applied to a system consisting of a formula preparation device and a terminal. The formula preparation device includes a water supply unit, a milk powder dispensing unit, a heating unit, a mixing unit, a detection module, and a control unit, and establishes a data connection with the terminal through a communication module.

[0020] In this embodiment, the method includes the following process:

[0021] First, the target formula preparation parameters are obtained. The user inputs feeding requirement data through the terminal, which includes, but is not limited to, infant physiological parameters, target feeding amount, or user-preset parameters. The control unit determines the target formula preparation parameters based on the data, which include the target water volume, formula powder volume, and target formula temperature. These parameters can be determined through preset rules, model calculation, or table lookup.

[0022] Secondly, the milk preparation control process is executed according to the target milk preparation parameters. The control unit controls the water supply unit and the milk powder dispensing unit to achieve quantitative output, and controls the heating unit and the mixing unit to make the initial output of the milk preparation close to the target milk preparation parameters. The quantitative output can be achieved through flow control, time control, or weighing feedback, etc.

[0023] During the milk preparation process, the detection module collects milk preparation status parameters in real time. These status parameters include milk volume, actual temperature, and mixing state, and may further include auxiliary parameters such as flow rate or power. The detection module can achieve this through methods such as liquid level detection, flow rate detection, temperature detection, or mixing state detection.

[0024] The control unit compares the state parameters with the target formula preparation parameters, determines the deviation, and performs dynamic adjustments based on the deviation. These adjustments include regulating the water supply process, the milk powder dispensing process, the heating process, and the mixing process. Each control parameter can be adjusted independently or collaboratively based on the deviation of multiple parameters, so that the formula preparation output gradually approaches the target state.

[0025] The adjustment process can be executed multiple times during the milk preparation process, forming a closed-loop control.

[0026] After the formula is prepared, the control unit sends the actual output data back to the terminal for recording. The terminal can then adjust or optimize subsequent formula preparation parameters based on historical data.

[0027] Implementation Method 2

[0028] In another embodiment, the closed-loop control process employs a multi-parameter coordinated adjustment mechanism. The control system dynamically allocates and adjusts each control variable based on the magnitude, trend, or preset strategy of different parameter deviations.

[0029] In practice, when a certain parameter has a large deviation, the relevant control variables can be adjusted first; when multiple parameters have deviations at the same time, multiple control variables can be adjusted together to avoid the adverse effect of adjusting a single parameter on the overall milk preparation result and improve control stability.

[0030] Implementation Method 3

[0031] In another implementation, the system possesses adaptive optimization capabilities based on historical data. The control system records and analyzes the target parameters and actual output data during multiple milk preparation processes to establish parameter correction relationships.

[0032] In the subsequent milk preparation process, the target milk preparation parameters or control process can be pre-adjusted based on historical deviations, thereby reducing the number of real-time adjustments and improving milk preparation efficiency and control accuracy.

[0033] Optional implementation methods

[0034] In an optional implementation, the detection module may employ different types of sensors or detection methods to adapt to different equipment structures or cost requirements.

[0035] In an optional implementation, the terminal may be a mobile application or other interactive device used to enable parameter input, data display, and control strategy adjustment.

Claims

1. A closed-loop control method for intelligent formula preparation based on real-time feedback of multiple parameters, characterized in that, include: Obtain target formula preparation parameters, which are determined based on feeding demand data input from the terminal. The feeding demand data includes at least one of infant physiological parameters, target feeding amount, or user-preset parameters. The milk preparation control process is executed according to the target milk preparation parameters, and at least one of the following is controlled: water output, milk powder addition, heating process and mixing process, in order to obtain the initial milk preparation output. During the milk preparation process, milk preparation status parameters are acquired in real time. These milk preparation status parameters are used to characterize the actual output state of the milk preparation process and include at least one of milk volume, actual temperature, and mixing state. Compare the milk preparation status parameters with the target milk preparation parameters to determine at least one parameter deviation; The milk preparation control process is dynamically adjusted based on the parameter deviation, including adjusting at least one of the water output, milk powder addition, heating process and mixing process, to form a multi-parameter closed-loop control, so that the milk preparation output gradually approaches the target milk preparation parameters. After the milk preparation is completed, the actual operating data is output, and the subsequent milk preparation control parameters or control strategies are optimized based on the actual operating data.

2. The method according to claim 1, characterized in that: The target formula preparation parameters include at least one of the following: target water volume, target milk powder volume, target milk temperature, and target mixing state.

3. The method according to claim 1, characterized in that: The milk preparation status parameters are obtained through a detection unit, which includes one or more of the following: liquid level detection, flow rate detection, temperature detection, or mixing status detection.

4. The method according to claim 1, characterized in that: The dynamic adjustment includes adjusting at least one of the following based on parameter deviation: water output rate, milk powder dispensing rate, heating power or heating time, and mixing intensity or mixing time.

5. The method according to claim 1, characterized in that: The dynamic adjustment is a multi-parameter coordinated adjustment process, in which each control parameter is adjusted independently based on the corresponding parameter deviation or jointly adjusted based on the deviations of multiple parameters.

6. The method according to claim 1, characterized in that: The closed-loop control is either continuous or phased adjustment, and multiple iterative corrections are made during the milk preparation process.

7. The method according to claim 1, characterized in that: The optimization includes correcting the target milk preparation parameters based on historical operating data or adaptively adjusting the control strategy.

8. A smart closed-loop control system for formula preparation, characterized in that, include: The control unit is used to acquire the target milk preparation parameters and execute closed-loop control; Water supply unit, used to provide water output; Milk powder dispensing unit, used to provide milk powder output; Heating unit, used to heat water or milk; The mixing unit is used to mix water and milk powder; The detection unit is used to acquire milk preparation status parameters; A communication unit, used for data interaction with the terminal; The control unit is configured to perform the method according to any one of claims 1 to 7.

9. The system according to claim 8, characterized in that: The detection unit includes one or more of a liquid level sensor, a flow sensor, a temperature sensor, or a mixed state detection module.

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