Ice-making power consumption control method and system based on multi-dimensional data fusion

Abstract

The application relates to the field of ice maker control, and discloses an ice making power consumption control method and system based on multi-dimensional data fusion, which comprises the following steps: obtaining ice making demand information of an ice maker; obtaining historical equipment operation parameters corresponding to the ice making demand information, and obtaining a preset historical equipment operation parameter range corresponding to the historical equipment operation parameters; the preset historical equipment operation parameter range comprises parameter ranges corresponding to a compressor power, a compressor refrigeration time, a crushed ice power and a crushed ice time respectively; when the historical equipment operation parameters are within the preset historical equipment operation parameter range, the ice maker is controlled to make ice according to the historical equipment operation parameters; when the historical equipment operation parameters are not within the preset historical equipment operation parameter range, adjusted equipment operation parameters corresponding to the historical equipment operation parameters are determined, and the ice maker is controlled to make ice according to the adjusted equipment operation parameters. The application can improve the power control effect of an ice maker for simultaneously making ice cubes and crushed ice.

Description

Technical Field

[0001] This application relates to the field of ice maker control technology, and more specifically, to an ice-making power consumption control method and system based on multi-dimensional data fusion. Background Technology

[0002] With the increasing demand for diverse ice products in both home and commercial settings, integrated ice makers capable of both making ice cubes and shaved ice have emerged on the market. These ice makers typically integrate an ice-making module and a shaved ice preparation module. The ice-making module uses components such as a compressor and evaporator to cool and condense water into ice blocks, while the shaved ice preparation module is equipped with crushing blades or grinding components to crush and grind the ice blocks produced by the ice-making module into shaved ice. Some ice makers also feature a function switching mechanism, allowing users to switch between ice-making and shaved ice modes via a control panel. These machines are widely used in home kitchens, milk tea shops, convenience stores, and other settings to meet users' immediate needs for different forms of ice products.

[0003] Existing ice makers capable of simultaneously making ice cubes and slushies often encounter problems in actual use. When users switch from ice cube making mode to slushie mode, or vice versa, the maker cannot automatically adjust the power output of core components such as the compressor and crushing motor according to the load requirements of different operating modes. Currently, the ice-making and slushie preparation modules of existing ice makers often operate at fixed power or require manual adjustment of power parameters. This leads to problems such as excessive power consumption in the ice-making or slushie preparation modules after switching modes, resulting in wasted energy, or insufficient power consumption leading to decreased ice-making efficiency and insufficient slushie texture. Overall, the power control effect is poor. Therefore, existing ice makers capable of simultaneously making ice cubes and slushies need to address the issue of insufficient power control adaptability. Summary of the Invention

[0004] The purpose of this application is to provide a method and system for controlling ice-making power consumption based on multi-dimensional data fusion, which solves the technical problem of insufficient power control adaptability in ice makers that simultaneously make ice blocks and ice slush, and achieves the technical effect of improving the power control effect of ice makers that simultaneously make ice blocks and ice slush.

[0005] This application provides an ice-making power consumption control method based on multi-dimensional data fusion. The method includes: acquiring ice-making demand information of an ice maker; acquiring historical equipment operating parameters corresponding to the ice-making demand information, and acquiring a preset historical equipment operating parameter range corresponding to the historical equipment operating parameters; wherein, the ice-making demand information includes ice cube mode, slushie large particle mode, and slushie small particle mode, the historical equipment operating parameters include compressor power, compressor cooling time, ice crushing power, and ice crushing time, the preset historical equipment operating parameter range represents the power consumption control demand corresponding to the ice-making demand information, and the preset historical equipment operating parameter range includes the parameter ranges corresponding to compressor power, compressor cooling time, ice crushing power, and ice crushing time respectively; when the historical equipment operating parameters are within the preset historical equipment operating parameter range, controlling the ice maker to make ice according to the historical equipment operating parameters; when the historical equipment operating parameters are not within the preset historical equipment operating parameter range, determining the adjustment equipment operating parameters corresponding to the historical equipment operating parameters, and controlling the ice maker to make ice according to the adjustment equipment operating parameters.

[0006] In one possible implementation, when the historical equipment operating parameters are not within the preset range of historical equipment operating parameters, the adjusted equipment operating parameters corresponding to the historical equipment operating parameters are determined, and the ice maker is controlled to make ice according to the adjusted equipment operating parameters. This includes: in the large-particle mode or small-particle mode of slushie, when the ice crushing time in the historical equipment operating parameters is greater than the maximum ice crushing time corresponding to the preset range of historical equipment operating parameters, determining the difference between the maximum ice crushing time and the ice crushing time, and determining the ratio of the difference between the maximum ice crushing time and the ice crushing time to the ice crushing time as the ice crushing time deviation range; increasing the ice crushing power corresponding to the ice crushing time deviation range to obtain the adjusted ice crushing power in the adjusted equipment operating parameters corresponding to the historical equipment operating parameters; decreasing the compressor power corresponding to the ice crushing time deviation range to obtain the adjusted compressor power in the adjusted equipment operating parameters corresponding to the historical equipment operating parameters; and controlling the ice maker to make ice according to the adjusted equipment operating parameters.

[0007] In another possible implementation, when the historical equipment operating parameters are not within the preset range of historical equipment operating parameters, the adjustment equipment operating parameters corresponding to the historical equipment operating parameters are determined, and the ice maker is controlled to make ice according to the adjustment equipment operating parameters. This also includes: in the large-particle slush mode or the small-particle slush mode, when the ice crushing time in the historical equipment operating parameters is less than the minimum ice crushing time corresponding to the preset range of historical equipment operating parameters, obtaining the user's slush particle size evaluation value and slush quality evaluation value; obtaining the ice crushing time adjustment range corresponding to the slush particle size evaluation value and slush quality evaluation value; increasing the power corresponding to the ice crushing time deviation range to obtain the adjusted ice crushing power in the adjustment equipment operating parameters corresponding to the historical equipment operating parameters; decreasing the power corresponding to the ice crushing time deviation range to obtain the adjusted compressor power in the adjustment equipment operating parameters corresponding to the historical equipment operating parameters; and controlling the ice maker to make ice according to the adjustment equipment operating parameters.

[0008] In another possible implementation, when the historical equipment operating parameters are not within the preset range of historical equipment operating parameters, the adjustment equipment operating parameters corresponding to the historical equipment operating parameters are determined, and the ice maker is controlled to make ice according to the adjustment equipment operating parameters. This also includes: in ice block mode, when the compressor cooling time in the historical equipment operating parameters is greater than the maximum compressor cooling time corresponding to the preset range of historical equipment operating parameters, obtaining the switching probability value of the ice maker switching from ice block mode to large-particle slush mode or small-particle slush mode in the historical equipment operating parameters; obtaining the compressor power adjustment range corresponding to the switching probability value; wherein, the larger the switching probability value, the larger the compressor power adjustment range; increasing the compressor power by the power corresponding to the compressor power adjustment range to obtain the adjusted compressor power in the adjusted equipment operating parameters corresponding to the historical equipment operating parameters; and controlling the ice maker to make ice according to the adjusted equipment operating parameters.

[0009] In another possible implementation, when the historical equipment operating parameters are not within the preset range of historical equipment operating parameters, the adjustment equipment operating parameters corresponding to the historical equipment operating parameters are determined, and the ice maker is controlled to make ice according to the adjustment equipment operating parameters. This also includes: in ice block mode, obtaining the ice crushing time deviation corresponding to the historical equipment operating parameters, determining the sum of the compressor power adjustment range and the ice crushing time deviation range as the correction compressor power adjustment range; increasing the compressor power by the power corresponding to the correction compressor power adjustment range to obtain the adjustment compressor power in the adjustment equipment operating parameters corresponding to the historical equipment operating parameters; and controlling the ice maker to make ice according to the adjustment equipment operating parameters.

[0010] In another possible implementation, when the historical equipment operating parameters are not within the preset range of historical equipment operating parameters, the adjustment equipment operating parameters corresponding to the historical equipment operating parameters are determined, and the ice maker is controlled to make ice according to the adjustment equipment operating parameters. This also includes: in ice block mode, obtaining the number of times the ice-breaking time in the historical equipment operating parameters exceeds the maximum ice-breaking time corresponding to the preset range of historical equipment operating parameters, as the ice-breaking time deviation count; obtaining the compressor power adjustment weight and ice-breaking time deviation adjustment weight corresponding to the ice-breaking time deviation count; determining the sum of the product of the compressor power adjustment amplitude and the compressor power adjustment weight, and the product of the ice-breaking time deviation amplitude and the ice-breaking time deviation adjustment weight, as the corrected compressor power adjustment amplitude; increasing the compressor power by the power corresponding to the corrected compressor power adjustment amplitude to obtain the adjusted compressor power in the adjusted equipment operating parameters corresponding to the historical equipment operating parameters; and controlling the ice maker to make ice according to the adjusted equipment operating parameters.

[0011] In another possible implementation, the method further includes: obtaining the compressor's base operating power and crushed ice base operating power corresponding to the ice cube mode, large-particle slush mode, and small-particle slush mode, respectively; in the ice cube mode, large-particle slush mode, or small-particle slush mode, when the adjusted compressor power is less than the compressor's base operating power, adjusting the adjusted compressor power to the compressor's base operating power; in the ice cube mode, large-particle slush mode, or small-particle slush mode, when the adjusted crushed ice power is less than the crushed ice base operating power, adjusting the adjusted crushed ice power to the crushed ice base operating power.

[0012] In another possible implementation, the method further includes: obtaining the maximum operating power of the compressor and the maximum operating power of crushed ice for the ice cube mode, the large-particle slush mode, and the small-particle slush mode, respectively; in the ice cube mode, the large-particle slush mode, or the small-particle slush mode, when the adjusted compressor power is greater than the maximum operating power of the compressor, adjusting the adjusted compressor power to the maximum operating power of the compressor; in the ice cube mode, the large-particle slush mode, or the small-particle slush mode, when the adjusted crushed ice power is greater than the maximum operating power of crushed ice, adjusting the adjusted crushed ice power to the maximum operating power of crushed ice.

[0013] In another possible implementation, the method further includes: obtaining the historical equipment runtime corresponding to the ice maker operating according to historical equipment operating parameters, and obtaining the adjusted equipment runtime corresponding to the ice maker's expected operation according to the adjusted equipment operating parameters; when the adjusted equipment runtime is greater than the historical equipment runtime, determining the time difference between the adjusted equipment runtime and the historical equipment runtime as the parameter runtime difference; determining the ratio of the parameter runtime difference to the historical equipment runtime as the parameter runtime anomaly; increasing the compressor power and ice crushing power in the adjusted equipment operating parameters according to the parameter runtime anomaly to obtain the time-optimized operating parameters corresponding to the adjusted equipment operating parameters; and controlling the ice maker to make ice according to the time-optimized operating parameters.

[0014] This application also provides an ice-making power consumption control system based on multi-dimensional data fusion, including a unit for implementing the above-described ice-making power consumption control method based on multi-dimensional data fusion.

[0015] The beneficial effects of the embodiments in this application compared with the prior art are:

[0016] This application provides a method for controlling ice-making power consumption based on multi-dimensional data fusion. The method includes: acquiring ice-making demand information of an ice maker; acquiring historical equipment operating parameters corresponding to the ice-making demand information, and acquiring a preset range of historical equipment operating parameters corresponding to the historical equipment operating parameters; wherein, the ice-making demand information includes ice cube mode, large-particle slush mode, and small-particle slush mode; the historical equipment operating parameters include compressor power, compressor cooling time, ice crushing power, and ice crushing time; the preset range of historical equipment operating parameters represents the power consumption control requirements corresponding to the ice-making demand information, and includes the parameter ranges corresponding to compressor power, compressor cooling time, ice crushing power, and ice crushing time, respectively; when the historical equipment operating parameters are within the preset range, the ice maker is controlled to make ice according to the historical equipment operating parameters; when the historical equipment operating parameters are not within the preset range, the corresponding adjustment equipment operating parameters are determined, and the ice maker is controlled to make ice according to the adjustment equipment operating parameters. The method in this application can achieve a precise correspondence between ice-making demand and operating parameters, avoiding energy waste caused by a mismatch between parameters and demand. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1A flowchart illustrating the first ice-making power consumption control method based on multi-dimensional data fusion provided in this application embodiment;

[0019] Figure 2 A schematic diagram illustrating the workflow of the first ice-making power consumption control method based on multi-dimensional data fusion provided in this application embodiment;

[0020] Figure 3 A flowchart illustrating the second ice-making power consumption control method based on multi-dimensional data fusion provided in this application embodiment;

[0021] Figure 4 A schematic diagram illustrating the workflow of the second ice-making power consumption control method based on multi-dimensional data fusion provided in this application embodiment;

[0022] Figure 5 A flowchart illustrating the third ice-making power consumption control method based on multi-dimensional data fusion provided in this application embodiment;

[0023] Figure 6 A schematic diagram illustrating the workflow of the third ice-making power consumption control method based on multi-dimensional data fusion provided in this application embodiment;

[0024] Figure 7 A flowchart illustrating the fourth ice-making power consumption control method based on multi-dimensional data fusion provided in this application embodiment;

[0025] Figure 8 A schematic diagram illustrating the workflow of the fourth ice-making power consumption control method based on multi-dimensional data fusion provided in this application embodiment;

[0026] Figure 9 A flowchart illustrating the fifth ice-making power consumption control method based on multi-dimensional data fusion provided in this application embodiment;

[0027] Figure 10 A schematic diagram illustrating the workflow of the fifth ice-making power consumption control method based on multi-dimensional data fusion provided in this application embodiment;

[0028] Figure 11 A flowchart illustrating the sixth ice-making power consumption control method based on multi-dimensional data fusion provided in this application embodiment;

[0029] Figure 12 A schematic diagram illustrating the workflow of the sixth ice-making power consumption control method based on multi-dimensional data fusion provided in this application embodiment;

[0030] Figure 13 This is a schematic diagram of the logical structure of an ice-making power consumption control system based on multi-dimensional data fusion, provided in an embodiment of this application. Detailed Implementation

[0031] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0032] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0033] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0034] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0035] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0036] In actual use, existing ice makers that can simultaneously make ice cubes and ice smoothies cannot automatically adjust the power output of core components such as the compressor and crushing motor according to the load requirements of different working modes.

[0037] Based on the above reasons, this application provides an ice-making power consumption control method based on multi-dimensional data fusion. The method includes: acquiring ice-making demand information of an ice maker; acquiring historical equipment operating parameters corresponding to the ice-making demand information, and acquiring a preset historical equipment operating parameter range corresponding to the historical equipment operating parameters; wherein, the ice-making demand information includes ice cube mode, slushie large particle mode, and slushie small particle mode; the historical equipment operating parameters include compressor power, compressor cooling time, ice crushing power, and ice crushing time; the preset historical equipment operating parameter range represents the power consumption control demand corresponding to the ice-making demand information, and includes the parameter ranges corresponding to compressor power, compressor cooling time, ice crushing power, and ice crushing time, respectively; when the historical equipment operating parameters are within the preset historical equipment operating parameter range, the ice maker is controlled to make ice according to the historical equipment operating parameters; when the historical equipment operating parameters are not within the preset historical equipment operating parameter range, the adjusted equipment operating parameters corresponding to the historical equipment operating parameters are determined, and the ice maker is controlled to make ice according to the adjusted equipment operating parameters. The method in this application can achieve a precise correspondence between ice-making demand and operating parameters, avoiding energy waste caused by a mismatch between parameters and demand.

[0038] In some scenarios, the ice-making power consumption control method based on multi-dimensional data fusion of this application embodiment can be applied to ice makers that can simultaneously make ice cubes and ice smoothies, thereby improving the power consumption control effect of ice makers that make both ice cubes and ice smoothies during use and improving the overall power consumption and performance of the ice maker.

[0039] The following describes in detail, with specific examples, an ice-making power consumption control method based on multi-dimensional data fusion provided in the embodiments of this application.

[0040] Figure 1 A flowchart illustrating the first ice-making power consumption control method based on multi-dimensional data fusion provided in this application embodiment is shown below. Figure 1 As shown in the embodiment of this application, an ice-making power consumption control method based on multi-dimensional data fusion is provided, including S110 to S120. S110 to S120 will be described in detail below.

[0041] S110. Obtain ice-making demand information from the ice maker. Obtain the historical equipment operating parameters corresponding to the ice-making demand information, and obtain the preset historical equipment operating parameter range corresponding to the historical equipment operating parameters. The ice-making demand information includes ice cube mode, large-particle slush mode, and small-particle slush mode. The historical equipment operating parameters include compressor power, compressor cooling time, ice-crushing power, and ice-crushing time. The preset historical equipment operating parameter range represents the power consumption control requirements corresponding to the ice-making demand information, and includes the parameter ranges corresponding to compressor power, compressor cooling time, ice-crushing power, and ice-crushing time, respectively.

[0042] Figure 2 A schematic diagram illustrating the workflow of the first ice-making power consumption control method based on multi-dimensional data fusion provided in this application embodiment is shown below. Figure 2 As shown, before the ice maker starts working, it can obtain ice-making demand information, including ice cube mode, large-particle shaved ice mode, and small-particle shaved ice mode. These modes correspond to different ice-making effect requirements.

[0043] For example, ice-making demand information can be obtained through the user's control panel or through remote settings on a smart terminal, providing a basis for subsequent parameter matching by specifying the ice-making demand information.

[0044] like Figure 2 As shown, in this implementation, historical equipment operating parameters can be retrieved based on ice-making demand information. These parameters record the equipment operating status under the same ice-making demand in the past. Simultaneously, preset historical equipment operating parameter ranges corresponding to these parameters can be obtained. These ranges define the reasonable intervals for each parameter to meet power consumption control requirements.

[0045] For example, the historical equipment operating parameters can be the average of the equipment operating parameters for the most recent three ice-making operations.

[0046] For example, the preset historical equipment operating parameter range can be obtained based on statistical analysis of a large amount of historical operating data, reflecting the parameter characteristics corresponding to the optimal power consumption control under different ice-making needs.

[0047] S120. When the historical equipment operating parameters are within the preset range, the ice maker is controlled to make ice according to the historical equipment operating parameters. When the historical equipment operating parameters are not within the preset range, the corresponding adjustment equipment operating parameters are determined, and the ice maker is controlled to make ice according to the adjustment equipment operating parameters.

[0048] like Figure 2 As shown, in this implementation, the system can determine whether the parameters are within a reasonable range by comparing historical equipment operating parameters with a preset range of historical equipment operating parameters. When the historical equipment operating parameters are within the preset range, it indicates that the historical parameters are still applicable to the current power consumption control requirements and can be directly used. When the historical equipment operating parameters are not within the preset range, it indicates that the historical equipment operating parameters are no longer applicable and it is necessary to determine and adjust the equipment operating parameters for correction. After determining the adjusted equipment operating parameters corresponding to the historical equipment operating parameters, the ice maker can be controlled to make ice according to the adjusted equipment operating parameters.

[0049] The beneficial effect of the above implementation method is that it first obtains the ice-making demand information of ice cube mode, large-particle ice slush mode or small-particle ice slush mode, and then obtains the historical equipment operating parameters such as compressor power, compressor cooling time, ice crushing power and ice crushing time corresponding to the demand. At the same time, it retrieves the preset historical equipment operating parameter range corresponding to these parameters, realizing the accurate correspondence between ice-making demand and operating parameters, providing an adaptation basis for subsequent power consumption control, and avoiding energy waste caused by the disconnect between parameters and demand.

[0050] The beneficial effect of the above implementation method is that after obtaining the historical equipment operating parameters, they are compared with the preset historical equipment operating parameter ranges for compressor power, compressor cooling time, ice crushing power, and ice crushing time. If the parameters are within the range, the historical parameters are used; if they are outside the range, the equipment operating parameters are adjusted and the ice maker is controlled to operate. This verification and adjustment mechanism can prevent invalid power consumption caused by abnormal parameters, ensure that the equipment operates within a reasonable parameter range, and improve control stability.

[0051] The beneficial effects of the above implementation method are that by integrating ice-making demand information with multi-dimensional historical equipment operating parameters such as compressor power, compressor cooling time, ice crushing power and ice crushing time, the control can be continued or adjusted based on whether the parameters are within the preset range. Through the synergistic effect of multi-dimensional data, targeted control of power consumption can be achieved, reducing unnecessary energy consumption and improving the energy efficiency of the ice maker while meeting the ice-making demand.

[0052] Figure 3 A flowchart illustrating the second ice-making power consumption control method based on multi-dimensional data fusion provided in this application embodiment is shown below. Figure 3 As shown, in the above-mentioned S120, when the historical equipment operating parameters are not within the preset range of historical equipment operating parameters, the corresponding adjustment equipment operating parameters are determined, and the ice maker is controlled to make ice according to the adjustment equipment operating parameters, including S121 to S122. S121 to S122 will be explained in detail below.

[0053] S121. In the large-particle mode or small-particle mode of shaved ice, when the ice crushing time in the historical equipment operating parameters is greater than the maximum ice crushing time corresponding to the preset historical equipment operating parameter range, the difference between the maximum ice crushing time and the ice crushing time is determined, and the ratio of the difference between the maximum ice crushing time and the ice crushing time to the ice crushing time is determined as the deviation of the ice crushing time.

[0054] In this implementation, in either the large-particle or small-particle slush mode, if the ice-breaking time in the historical equipment operating parameters is greater than the maximum ice-breaking time corresponding to the preset historical equipment operating parameter range, it indicates that the user actively extended the ice-breaking time in order to achieve the ice-breaking effect, resulting in an excessively long ice-breaking time. At this time, the difference between the maximum ice-breaking time and the actual ice-breaking time can be determined, and the ratio of the difference between the maximum ice-breaking time and the actual ice-breaking time to the actual ice-breaking time can be determined as the ice-breaking time deviation. The ice-breaking time deviation reflects the relative degree to which the actual ice-breaking time exceeds the maximum ice-breaking time, providing a quantitative basis for subsequent power adjustment.

[0055] For example, the ice-breaking time in the historical equipment operating parameters can be an ice-breaking time that is actively controlled by the user. By controlling the ice-breaking time, the user can adaptively adjust the ice-breaking effect according to the ice-breaking requirements.

[0056] For example, during the operation of an ice maker, when the ice crushing time is detected to exceed the maximum ice crushing time corresponding to the preset historical equipment operating parameter range, the degree of abnormality can be quantified by calculating the deviation of the ice crushing time. The greater the deviation of the ice crushing time, the more obvious the decrease in ice crushing efficiency, and the more significant the power adjustment is required to ensure the ice-making effect.

[0057] S122. Increase the power corresponding to the deviation of the ice crushing time by increasing the ice crushing power to obtain the adjusted ice crushing power in the adjusted equipment operating parameters corresponding to the historical equipment operating parameters. Decrease the power corresponding to the deviation of the ice crushing time by decreasing the compressor power to obtain the adjusted compressor power in the adjusted equipment operating parameters corresponding to the historical equipment operating parameters. Control the ice maker to make ice according to the adjusted equipment operating parameters.

[0058] In this implementation, the power corresponding to the deviation in ice crushing time can be increased to obtain the adjusted ice crushing power in the adjusted equipment operating parameters corresponding to the historical equipment operating parameters. Simultaneously, the power corresponding to the deviation in ice crushing time can be decreased to obtain the adjusted compressor power in the adjusted equipment operating parameters corresponding to the historical equipment operating parameters. This bidirectional adjustment mechanism can synergistically optimize two key operating parameters. Under the premise of stable overall ice maker power, the ice crushing process can be completed in a shorter time. Appropriately reducing the ice-making power during the crushing process ensures stable ice-making and controllable energy consumption, resulting in better energy consumption control of the ice maker during ice making.

[0059] For example, when making shaved ice in an ice maker, if the ice crushing time is too long, the crushing efficiency can be improved by increasing the crushing power, while the compressor power can be reduced to balance the overall energy consumption.

[0060] In this implementation, the ice maker can be controlled to make ice according to the adjusted equipment operating parameters to ensure that the ice-making process operates under the optimized parameters. The adjusted equipment operating parameters can better adapt to the current ice-making needs, thereby improving the stability and economy of the ice-making process.

[0061] For example, in the large-particle mode of shaved ice, when the ice crushing time exceeds the maximum ice crushing time, by implementing the above adjustment strategy, the ice maker can quickly return to normal ice-making state while maintaining the stability of the shaved ice particle size.

[0062] The beneficial effect of the above implementation method is that, in the large-particle mode or small-particle mode of slushie, when the ice crushing time in the historical equipment operating parameters is greater than the maximum ice crushing time corresponding to the preset historical equipment operating parameter range, the difference between the maximum ice crushing time and the ice crushing time is first determined, and then the ratio of this difference to the ice crushing time is calculated as the ice crushing time deviation. Then, the ice crushing power is increased by this deviation to adjust the ice crushing power, and the compressor power is decreased to adjust the compressor power. Finally, the ice maker is controlled to make ice according to the adjusted equipment operating parameters. This can accurately respond to abnormal ice crushing time, so that when the ice crushing time exceeds the limit, the ice maker can reasonably adjust the ice crushing power and compressor power to avoid the reduction in ice making efficiency or the increase in extra energy consumption caused by adjusting a single parameter, thus ensuring a stable ice making process and controllable energy consumption.

[0063] The beneficial effect of the above implementation method is that when dealing with situations where the historical equipment operating parameters are not within the preset range, the ice crushing power and compressor power are adjusted in opposite directions based on the deviation of the ice crushing time. That is, the ice crushing power is increased by a corresponding amount and the compressor power is decreased by a corresponding amount. This allows the two key operating parameters to work together to better adapt to the current ice-making needs, effectively avoiding ice-making quality problems caused by incoordination between parameters, such as the ice slush particle size not meeting the standard, while maintaining the overall energy consumption within a reasonable range.

[0064] The beneficial effect of the above implementation method is that, firstly, the precise deviation of the ice crushing time is obtained by calculating the difference and ratio, and then the deviation is used as the basis for adjusting the ice crushing power and the compressor power to ensure that the adjustment amount is precisely matched with the degree of deviation of the ice crushing time. This precise amplitude control avoids the situation of over-adjustment or under-adjustment, so that the ice maker can quickly return to a reasonable operating state when the parameters are abnormal, which not only ensures ice making efficiency, but also further optimizes the power consumption control effect.

[0065] Figure 5 A flowchart illustrating the third ice-making power consumption control method based on multi-dimensional data fusion provided in this application embodiment is shown below. Figure 5As shown, in some implementations, S120 above, when the historical equipment operating parameters are not within the range of preset historical equipment operating parameters, determines the adjustment equipment operating parameters corresponding to the historical equipment operating parameters and controls the ice maker to make ice according to the adjustment equipment operating parameters. It also includes S123 to S124, which will be explained in detail below.

[0066] S123. In either the large-particle or small-particle slush mode, when the ice-crushing time in the historical equipment operating parameters is less than the minimum ice-crushing time corresponding to the preset historical equipment operating parameter range, obtain the user's slush particle size evaluation value and slush quality evaluation value. Obtain the ice-crushing time adjustment range corresponding to the slush particle size evaluation value and slush quality evaluation value.

[0067] Figure 6 A schematic diagram of the workflow of the third ice-making power consumption control method based on multi-dimensional data fusion provided in the embodiments of this application is shown below. Figure 6 As shown, in the large-particle mode or small-particle mode of shaved ice, when the ice crushing time in the historical equipment operating parameters is less than the minimum ice crushing time corresponding to the preset historical equipment operating parameter range, it indicates that the working time of the ice crushing module is too short, which may lead to poor ice crushing effect. At this time, the user's shaved ice particle size evaluation value and shaved ice quality evaluation value can be obtained. These evaluation values ​​reflect the user's satisfaction with the particle size and overall quality of the finished shaved ice.

[0068] In this implementation, the ice crushing time adjustment range corresponding to the ice slush particle size evaluation value and ice slush quality evaluation value can be obtained. The ice crushing time adjustment range can be determined according to the empirical value table corresponding to the ice slush particle size evaluation value, ice slush quality evaluation value and ice crushing time adjustment range. The lower the evaluation value, the greater the gap between the current ice crushing effect and the user's expectations, and the greater the required adjustment range.

[0069] For example, the empirical value table corresponding to the slush particle size evaluation value, slush quality evaluation value, and the adjustment range of crushing time can be determined by historical usage data, and the adjustment range of crushing time can be adjusted by the empirical value table corresponding to the slush particle size evaluation value, slush quality evaluation value, and the adjustment range of crushing time.

[0070] S124. Increase the power corresponding to the deviation of the ice crushing time by increasing the ice crushing power to obtain the adjusted ice crushing power in the adjusted equipment operating parameters corresponding to the historical equipment operating parameters. Decrease the power corresponding to the deviation of the ice crushing time by decreasing the compressor power to obtain the adjusted compressor power in the adjusted equipment operating parameters corresponding to the historical equipment operating parameters. Control the ice maker to make ice according to the adjusted equipment operating parameters.

[0071] In this implementation, the power corresponding to the deviation of the ice crushing time can be increased to obtain the adjusted ice crushing power in the adjusted equipment operating parameters corresponding to the historical equipment operating parameters. At the same time, the power corresponding to the deviation of the ice crushing time can be decreased to obtain the adjusted compressor power in the adjusted equipment operating parameters corresponding to the historical equipment operating parameters, so that the energy consumption control effect of the ice maker in the ice making process is better.

[0072] After obtaining the adjusted equipment operating parameters, the ice maker can be controlled to make ice according to the adjusted operating parameters. By simultaneously adjusting the crushing power and compressor power, the energy distribution of the ice-making process can be optimized to ensure that the shaved ice production effect meets the user's expectations.

[0073] For example, when making smoothies, if it is detected that the ice crushing time is too short, resulting in uneven particle size, the equipment parameters can be adjusted according to the user's evaluation of particle size and quality. By increasing the ice crushing power and appropriately reducing the compressor power, the particle size distribution of the smoothie can be improved, while reducing the compressor power can control the overall energy consumption of the ice maker to be stable.

[0074] The beneficial effect of the above implementation method is that, in the large-particle mode or small-particle mode of slushie, when the ice crushing time in the historical equipment operating parameters is less than the minimum ice crushing time corresponding to the preset historical equipment operating parameter range, the user's slushie particle size evaluation value and slushie quality evaluation value are first obtained, and then the ice crushing time adjustment range corresponding to these two evaluation values ​​is obtained. Subsequently, the power corresponding to the deviation of the ice crushing time is increased to obtain the adjusted ice crushing power, and the power corresponding to the deviation of the ice crushing time is decreased to obtain the adjusted compressor power. Finally, the ice maker is controlled to make ice according to the adjusted equipment operating parameters. This process incorporates user evaluation into the parameter adjustment basis, making the adjusted operating parameters more in line with the user's actual needs for slushie, and effectively improving user satisfaction with the ice making results.

[0075] The beneficial effects of the above implementation method are that, when dealing with situations where the ice crushing time is less than the preset minimum ice crushing time, the technology integrates the user's ice slush particle size evaluation value, ice slush quality evaluation value, and the deviation of the equipment's ice crushing time. Based on this, the ice crushing power and compressor power are adjusted in a coordinated manner. The synergistic effect of multiple factors makes the parameter adjustment more comprehensive, which not only solves the problem of abnormal equipment operating parameters, but also takes into account the user's requirements for ice slush quality, making the overall operating status of the ice maker more suitable for actual use scenarios, and improving the rationality and stability of operation.

[0076] Figure 7 A flowchart illustrating the fourth ice-making power consumption control method based on multi-dimensional data fusion provided in this application embodiment is shown below. Figure 7As shown, in some implementations, in the above-mentioned S120, when the historical equipment operating parameters are not within the range of preset historical equipment operating parameters, the adjustment equipment operating parameters corresponding to the historical equipment operating parameters are determined, and the ice maker is controlled to make ice according to the adjustment equipment operating parameters. It also includes S125 to S126, which are explained in detail below.

[0077] S125. In ice cube mode, when the compressor cooling time in the historical equipment operating parameters is greater than the maximum compressor cooling time corresponding to the preset historical equipment operating parameter range, obtain the switching probability value of the ice maker switching from ice cube mode to large-particle slush mode or small-particle slush mode in the historical equipment operating parameters. Obtain the compressor power adjustment range corresponding to the switching probability value. Wherein, the larger the switching probability value, the larger the compressor power adjustment range.

[0078] Figure 8 A schematic diagram of the workflow of the fourth ice-making power consumption control method based on multi-dimensional data fusion provided in the embodiments of this application is shown below. Figure 8 As shown, in ice cube mode, when the compressor cooling time in the historical equipment operating parameters is greater than the maximum compressor cooling time corresponding to the preset historical equipment operating parameter range, it indicates that the compressor cooling time of the ice maker is relatively long. In order to ensure that there are ice cubes available for subsequent ice crushing processes, the switching probability value of the ice maker from ice cube mode to slushie large particle mode or slushie small particle mode in the historical equipment operating parameters can be obtained. The switching probability value reflects the likelihood of the ice maker switching from the current ice cube mode to slushie mode.

[0079] For example, the switching probability value can be determined by the ratio of the number of times a user switches within a preset number of uses in the user's historical usage records. By statistically analyzing the user's mode switching records in the historical usage records, the user's switching probability value can be roughly estimated.

[0080] In this implementation, after obtaining the switching probability value, the corresponding compressor power adjustment range can be obtained. Specifically, a higher switching probability value results in a larger compressor power adjustment range; this correspondence can be obtained through a preset mapping table.

[0081] For example, the compressor power adjustment range corresponding to the switching probability value can be obtained through a pre-set empirical value table.

[0082] For example, if the compressor cooling time exceeds the maximum limit during the operation of the ice maker, and it is detected that there is a high probability that the user will need to switch to the smoothie mode, a larger compressor power adjustment range can be obtained based on the higher probability of switching. This can prepare the power for the upcoming mode switch.

[0083] S126. Increase the compressor power by the amount corresponding to the compressor power adjustment range to obtain the adjusted compressor power in the adjusted equipment operating parameters corresponding to the historical equipment operating parameters. Control the ice maker to make ice according to the adjusted equipment operating parameters.

[0084] In this implementation, the compressor power can be increased by the power adjustment range corresponding to the compressor power, and the adjusted compressor power can be obtained from the historical equipment operating parameters. This power adjustment operation can be executed in real time. By adjusting the operating power of the compressor, the ice-making performance can be optimized to ensure that the subsequent ice-crushing module can have ice blocks available in a timely manner.

[0085] After adjusting the compressor power, the ice maker can be controlled to make ice according to the adjusted equipment operating parameters. The adjusted equipment operating parameters include adjusting the compressor power, which can ensure that the ice maker can speed up the ice making process when the compressor cooling time exceeds the limit.

[0086] For example, if the compressor cooling time continues to exceed the maximum limit when the ice maker is running in ice mode for an extended period of time, and a higher switching probability value is determined, the compressor power can be increased accordingly to prepare for a possible mode switch.

[0087] The beneficial effect of the above implementation method is that, in ice block mode, when the compressor cooling time in the historical equipment operating parameters is greater than the maximum compressor cooling time corresponding to the preset historical equipment operating parameter range, the switching probability value of the ice maker switching from ice block mode to slushie large particle mode or slushie small particle mode is first obtained, then the compressor power adjustment range corresponding to the switching probability value is obtained, and then the compressor power is increased by the power corresponding to the adjustment range to obtain the adjusted compressor power. Finally, the ice maker is controlled to make ice according to the adjusted equipment operating parameters. This allows the compressor power adjustment to accurately match the mode switching requirements, avoids low ice-making efficiency caused by the compressor cooling time exceeding the limit, and adapts to potential mode switching requirements, thereby improving the adaptability of operation in ice block mode.

[0088] The beneficial effects of the above implementation method are that when the compressor cooling time exceeds the preset maximum limit, the switching probability value of the ice maker switching to the large-particle slush mode or the small-particle slush mode is first determined. The larger the switching probability value, the larger the corresponding adjustment range of the compressor power. Then, the compressor power is increased based on this range to adjust the compressor power, thereby controlling the operation of the ice maker. This makes the compressor power adjustment more targeted, and can optimize the power in advance according to the possible future mode switching trend, reduce the power adaptation time when switching modes, improve the smoothness of the transition between different modes, and ensure the ice making effect of the ice cube mode. It can solve the problem of the compressor cooling time exceeding the limit in the ice cube mode, avoid the insufficient or excessive power of the traditional fixed adjustment, and optimize the power in combination with the mode switching probability to ensure the continuity and quality of ice making in the ice cube mode and improve the operational stability under the over-limit condition.

[0089] Figure 9 A flowchart illustrating the fifth ice-making power consumption control method based on multi-dimensional data fusion provided in this application embodiment is shown below. Figure 9 As shown, in some implementations, S120 above, when the historical equipment operating parameters are not within the range of preset historical equipment operating parameters, determines the adjustment equipment operating parameters corresponding to the historical equipment operating parameters and controls the ice maker to make ice according to the adjustment equipment operating parameters. It also includes S127 to S128, which will be explained in detail below.

[0090] S127. In ice mode, obtain the ice crushing time deviation range corresponding to the historical equipment operating parameters, determine the sum of the compressor power adjustment range and the ice crushing time deviation range, and use it as the correction compressor power adjustment range.

[0091] Figure 10 A schematic diagram illustrating the workflow of the fifth ice-making power consumption control method based on multi-dimensional data fusion provided in this application embodiment is shown below. Figure 10 As shown, in ice mode, the deviation of ice-breaking time corresponding to historical equipment operating parameters can be obtained. The deviation of ice-breaking time reflects the degree of difference between the actual ice-breaking time and the expected ice-breaking time. By quantifying this deviation, the execution of the ice-breaking process can be accurately evaluated.

[0092] For example, the deviation of the ice crushing time can be calculated by comparing the difference between the average ice crushing time corresponding to the historical equipment operating parameters and the standard ice crushing time.

[0093] For example, during the operation of an ice maker, when the historical equipment operating parameters are detected to be outside the preset range, the deviation of the ice crushing time can be calculated. A positive deviation indicates that the ice crushing time is too long, while a negative deviation indicates that the ice crushing time is too short. By obtaining the deviation of the ice crushing time, a precise reference can be provided for subsequent power adjustments.

[0094] S128. Increase the compressor power to correct the adjustment range of the compressor power, and obtain the adjusted compressor power in the adjusted equipment operating parameters corresponding to the historical equipment operating parameters. Control the ice maker to make ice according to the adjusted equipment operating parameters.

[0095] In this implementation, the sum of the compressor power adjustment range and the ice crushing time deviation range can be determined as the corrected compressor power adjustment range. The corrected compressor power adjustment range takes into account the compressor power adjustment requirements and ice crushing time deviation determined in S126 above. By adding the two parameters together, the comprehensive adjustment amount is obtained. This calculation method can balance the influence of different factors on the compressor power adjustment.

[0096] For example, in scenarios where an ice maker can make both ice cubes and shaved ice, when switching from shaved ice mode to ice cube mode, the compressor power adjustment range can be determined based on the switching probability value. Then, the compressor power adjustment range can be corrected by combining the deviation of the ice crushing time. Through this comprehensive calculation method, a more accurate power adjustment amount can be obtained.

[0097] In this implementation, the power corresponding to the adjustment range of the compressor power can be increased by increasing the compressor power to obtain the adjusted compressor power in the adjusted equipment operating parameters corresponding to the historical equipment operating parameters. The adjusted compressor power is obtained by adding the power value corresponding to the adjustment range of the compressor power to the current compressor power.

[0098] For example, when a large deviation is detected in the ice-making process of an ice maker, the cooling speed can be accelerated by further increasing the compressor power. The adjusted compressor power can better adapt to the actual operating requirements and ensure that the ice-making process is carried out efficiently.

[0099] In this implementation, the ice maker can be controlled to make ice according to the adjusted equipment operating parameters.

[0100] The beneficial effect of the above implementation method is that, in ice mode, when the compressor cooling time in the historical equipment operating parameters is greater than the maximum compressor cooling time corresponding to the preset historical equipment operating parameter range, the relevant technology first obtains the deviation of the ice crushing time in the historical equipment operating parameters, then determines the sum of the compressor power adjustment range and the ice crushing time deviation range as the correction compressor power adjustment range, and finally increases the power corresponding to the correction compressor power adjustment range and controls the ice maker to operate, so that the compressor can make ice blocks faster to make up for the time gap and power gap in ice making and ice crushing, making the compressor power adjustment more in line with the actual ice crushing time deviation in operation, and improving the accuracy of compressor power adjustment.

[0101] The beneficial effect of the above implementation method is that when the historical equipment operating parameters are not within the preset range of historical equipment operating parameters, it not only refers to the compressor power adjustment range corresponding to the switching probability value, but also introduces the ice crushing time deviation range and calculates the sum of the two to obtain the corrected compressor power adjustment range. Based on this, the compressor power is adjusted and the ice maker is controlled to work. This allows the compressor power adjustment to take into account both the mode switching probability and the ice crushing time deviation, improving the adaptability of the ice maker in ice block mode. It avoids the power mismatch problem caused by adjusting only a single parameter, ensuring that the compressor operates at a more suitable power and effectively guaranteeing the ice making efficiency of the ice maker in ice block mode.

[0102] Figure 11 A flowchart illustrating the sixth ice-making power consumption control method based on multi-dimensional data fusion provided in this application embodiment is shown below. Figure 11 As shown, in some implementations, S120 above, when the historical equipment operating parameters are not within the range of preset historical equipment operating parameters, determines the adjustment equipment operating parameters corresponding to the historical equipment operating parameters and controls the ice maker to make ice according to the adjustment equipment operating parameters. It also includes S131 to S132, which will be explained in detail below.

[0103] S131. In ice mode, obtain the number of times the ice-breaking time in the historical equipment operating parameters exceeds the maximum ice-breaking time corresponding to the preset historical equipment operating parameter range, and use this as the ice-breaking time deviation count. Obtain the compressor power adjustment weight and ice-breaking time deviation adjustment weight corresponding to the ice-breaking time deviation count. Determine the sum of the product of the compressor power adjustment amplitude and the compressor power adjustment weight, and the product of the ice-breaking time deviation amplitude and the ice-breaking time deviation adjustment weight, as the correction compressor power adjustment amplitude.

[0104] Figure 12 A schematic diagram illustrating the workflow of the sixth ice-making power consumption control method based on multi-dimensional data fusion provided in this application embodiment is shown below. Figure 12 As shown, in ice mode, when the historical equipment operating parameters are not within the preset range of historical equipment operating parameters, the number of times the ice breaking time in the historical equipment operating parameters is greater than the maximum ice breaking time corresponding to the preset range of historical equipment operating parameters can be obtained as the number of ice breaking time deviations. The number of ice breaking time deviations reflects the cumulative frequency of ice breaking time exceeding the normal range, which helps to assess the stability of the equipment's operating status.

[0105] In this implementation, the compressor power adjustment weight and the ice crushing time deviation adjustment weight corresponding to the number of times the ice crushing time deviates can be obtained. The compressor power adjustment weight and the ice crushing time deviation adjustment weight can be determined by a preset empirical value table, so that different deviations correspond to different adjustment weights, thereby reflecting the degree of influence of ice crushing time deviation on compressor power adjustment more precisely.

[0106] In this implementation, the sum of the product of the compressor power adjustment range and the compressor power adjustment weight, and the product of the ice crushing time deviation range and the ice crushing time deviation adjustment weight can be further determined as the correction range of the compressor power adjustment range. Then, the contributions of the original power adjustment and the ice crushing time deviation are comprehensively considered, and a more reasonable correction range is obtained by weighted summation, ensuring that the adjustment amount takes into account both the basic power change and the historical deviation.

[0107] For example, if the ice-crushing time exceeds the maximum ice-crushing time multiple times during ice-making operation, it indicates that the equipment may be experiencing a decrease in efficiency or an abnormal load. By calculating and correcting the compressor power adjustment range, the compressor power can be adjusted more accurately to meet actual operating needs.

[0108] S132. Increase the compressor power to correct the adjustment range of the compressor power, and obtain the adjusted compressor power in the adjusted equipment operating parameters corresponding to the historical equipment operating parameters. Control the ice maker to make ice according to the adjusted equipment operating parameters.

[0109] In this implementation, the power corresponding to the adjustment range of the compressor power can be increased by increasing the compressor power, thereby obtaining the adjusted compressor power in the adjusted equipment operating parameters corresponding to the historical equipment operating parameters. This ensures that the power change matches the historical operating data, and can improve the pertinence and effectiveness of parameter adjustment.

[0110] In this implementation, the ice maker can be controlled to make ice according to the adjusted equipment operating parameters.

[0111] The beneficial effect of the above implementation method is that, in ice mode, when the historical equipment operating parameters are not within the preset range of historical equipment operating parameters, the number of times the ice crushing time is greater than the maximum ice crushing time corresponding to the preset range of historical equipment operating parameters is first obtained as the number of ice crushing time deviations. Then, the compressor power adjustment weight and ice crushing time deviation adjustment weight corresponding to the number of ice crushing time deviations are obtained. Subsequently, the product of the compressor power adjustment amplitude and the compressor power adjustment weight, and the sum of the product of the ice crushing time deviation amplitude and the ice crushing time deviation adjustment weight are calculated as the correction compressor power adjustment amplitude. Based on this, the compressor power can be increased to adjust the compressor power and control the ice maker's operation, making the adjustment of the compressor power more consistent with the cumulative situation of ice crushing time deviation in actual operation, and improving the accuracy of operating parameter adjustment in ice mode.

[0112] The beneficial effects of the above implementation method are also that when the historical equipment operating parameters are not within the preset range of historical equipment operating parameters, by obtaining the number of times the ice crushing time deviates and the corresponding weight, and adding the product of the compressor power adjustment range and the corresponding weight, and the product of the ice crushing time deviation range and the corresponding weight, the impact of the number of ice crushing time deviations and the original adjustment range can be comprehensively considered, reducing the problem of improper power adjustment and ensuring the stable operation of the ice maker in ice block mode; it can comprehensively mine the historical equipment operating parameter information, avoid the limitations of single parameter adjustment, and make the adjustment of compressor power in adjusting equipment operating parameters more in line with the actual state, thereby improving the rationality of power consumption control.

[0113] In some implementations, the above method also includes S210 to S220, which are described in detail below.

[0114] S210: Obtain the compressor's base operating power and ice crushing base operating power for ice block mode, large-particle ice slush mode, and small-particle ice slush mode, respectively.

[0115] In this implementation, the basic operating power of the compressor and the basic operating power of the crushed ice can be obtained for the ice cube mode, the large-particle ice slush mode and the small-particle ice slush mode, respectively. These basic operating powers can reflect the minimum power level required for the compressor system and the crushed ice system to maintain basic operation under different ice-making modes.

[0116] For example, in the control process of an ice maker, the basic operating power of the compressor can ensure that the refrigeration system can maintain a basic refrigeration cycle, and the basic operating power of the ice crusher can ensure that the ice crusher can operate normally. By obtaining these basic operating powers in advance, a reference benchmark can be provided for subsequent power adjustments.

[0117] S210. In ice cube mode, large-particle slush mode, or small-particle slush mode, when the adjusted compressor power is less than the compressor's base operating power, the adjusted compressor power will be set to the compressor's base operating power. In ice cube mode, large-particle slush mode, or small-particle slush mode, when the adjusted ice crushing power is less than the ice crushing base operating power, the adjusted ice crushing power will be set to the ice crushing base operating power.

[0118] In this implementation, when the compressor power is adjusted to be less than the compressor's base operating power in ice block mode, large-particle slush mode, or small-particle slush mode, the compressor power can be adjusted to the compressor's base operating power. This adjustment method can ensure that the compressor system can obtain sufficient operating power in any power adjustment state.

[0119] For example, in the smoothie fine particle mode, if the adjusted compressor power calculated based on the current operating conditions is lower than the compressor's basic operating power corresponding to this mode, the compressor power can be automatically increased to the basic operating power level, thereby preventing the compressor from failing to work properly due to insufficient power.

[0120] In ice block mode, large-particle slush mode, or small-particle slush mode, when the ice crushing power is adjusted to be less than the basic operating power, the ice crushing power can be adjusted to the basic operating power. This method ensures that the ice crushing system always has the power required to maintain basic operation.

[0121] For example, in ice mode, when changes in ambient temperature cause the calculated ice-crushing power to be lower than the basic ice-crushing operating power, the ice-crushing power can be corrected to the basic operating power to ensure that the ice-crushing device can operate continuously and stably.

[0122] The beneficial effect of the above implementation method is that it first obtains the basic operating power of the compressor and the basic operating power of crushed ice for the ice cube mode, the large-particle ice slush mode and the small-particle ice slush mode respectively. In any mode, if the compressor power is adjusted to be less than the basic operating power of the compressor, it is corrected to the basic operating power of the compressor. If the crushed ice power is adjusted to be less than the basic operating power of crushed ice, it is corrected to the basic operating power of crushed ice. This can avoid the power adjustment being too low, ensure that the ice maker can maintain the basic operating state in each mode, and prevent the equipment from failing to start or run normally due to insufficient power.

[0123] The beneficial effect of the above implementation method is that after parameter adjustment, a basic power verification step is added. The basic operating power of the compressor and the basic operating power of ice crushing corresponding to different ice-making modes are first determined as the lower limit of the power adjustment. The compressor power and ice crushing power are adjusted below the lower limit, and a fallback correction is made for the possible problem of excessive parameter adjustment. This ensures that the adjusted power is always within the range where the equipment can work normally, and improves the reliability of parameter adjustment in power consumption control.

[0124] In some implementations, the above method also includes S230 to S240, which will be described in detail below.

[0125] S230: Obtain the maximum operating power of the compressor and the maximum operating power of ice crushing for ice cube mode, large-particle ice slush mode, and small-particle ice slush mode, respectively.

[0126] In this implementation, the maximum operating power of the compressor and the maximum operating power of ice crushing can be obtained for the ice cube mode, the large-particle ice slush mode, and the small-particle ice slush mode, respectively, as the upper limit for adjusting the compressor power and ice crushing power under different ice-making modes.

[0127] For example, before the ice maker starts working, the maximum operating power of the compressor and the maximum operating power of the crushed ice corresponding to the currently selected mode can be read from the control system. These parameters can be set according to the characteristics and requirements of different ice-making modes to ensure that the equipment can operate safely under different working conditions.

[0128] S240. In ice cube mode, large-particle slush mode, or small-particle slush mode, if the adjusted compressor power is greater than the compressor's maximum operating power, the compressor power will be adjusted to the compressor's maximum operating power. In ice cube mode, large-particle slush mode, or small-particle slush mode, if the adjusted ice crushing power is greater than the ice crushing maximum operating power, the ice crushing power will be adjusted to the ice crushing maximum operating power.

[0129] In this implementation, when the compressor power is adjusted to be greater than the compressor's maximum operating power in ice cube mode, large-particle slush mode, or small-particle slush mode, the compressor power can be adjusted to the compressor's maximum operating power to ensure that the compressor does not exceed its maximum allowable operating power in that mode.

[0130] For example, during the operation of an ice maker, if the control system calculates that the compressor power needs to be adjusted to exceed the maximum operating power of the compressor corresponding to the current mode, it can automatically limit the compressor power to the range of the compressor's maximum operating power to avoid overloading the compressor.

[0131] In this implementation, when the ice crushing power is adjusted to be greater than the maximum operating power of ice crushing in ice block mode, large-particle ice slush mode, or small-particle ice slush mode, the ice crushing power can be adjusted to the maximum operating power of ice crushing to ensure that the ice crushing module operates within a safe power range.

[0132] For example, when making smoothies, if the control system detects that the ice crushing power needs to be adjusted to exceed the maximum operating power of the ice crushing mode, it can automatically limit the ice crushing power to within the maximum operating power of the ice crushing mode to prevent the ice crushing module from being damaged due to excessive power.

[0133] The beneficial effect of the above implementation method is that it first obtains the maximum operating power of the compressor and the maximum operating power of ice crushing for the ice cube mode, the large-particle ice slush mode, and the small-particle ice slush mode, respectively. Then, in any mode, if the adjusted compressor power is greater than the maximum operating power of the compressor, the adjusted compressor power will be adjusted to the maximum operating power of the compressor; if the adjusted ice crushing power is greater than the maximum operating power of ice crushing, the adjusted ice crushing power will be adjusted to the maximum operating power of ice crushing. This can avoid problems such as overheating and loss of the compressor and ice crushing module due to over-power operation, effectively protect the core components of the equipment, and extend the service life of the equipment.

[0134] The beneficial effects of the above implementation method are also that, after the parameter adjustment process of the existing technology, a maximum operating power verification step is added. The maximum operating power of the compressor and the maximum operating power of ice crushing corresponding to different ice-making modes are first determined, and these are used as the upper limit of the power adjustment. The compressor power and ice crushing power that exceed the upper limit are corrected, which solves the problem of excessive power adjustment that may exist in the existing technology. This ensures that the adjusted operating parameters are always within a safe range, improves the stability of the power consumption control process, and avoids energy waste caused by excessive power. It also ensures that the compressor and ice crushing module always operate within the rated capacity range, avoids the decrease in ice-making efficiency and fluctuations in ice quality due to overload, and maintains the stable ice-making performance of the ice maker in different modes.

[0135] In some implementations, the above method also includes S310 to S320, which are described in detail below.

[0136] S310. Obtain the historical equipment runtime corresponding to the ice maker running according to the historical equipment operating parameters, and obtain the adjusted equipment runtime corresponding to the ice maker expected to run according to the adjusted equipment operating parameters.

[0137] In this implementation, the historical equipment runtime corresponding to the ice maker running according to the historical equipment operating parameters can be obtained, and the adjusted equipment runtime corresponding to the ice maker running according to the adjusted equipment operating parameters can be obtained. During the operation of the ice maker, the historical equipment runtime reflects the typical time required to complete the ice making or ice crushing process under specific operating parameters, while the adjusted equipment runtime is an estimate of the time required under the new operating parameters.

[0138] For example, the historical equipment runtime is the average time for the ice maker to run according to the historical equipment operating parameters.

[0139] For example, the equipment runtime is adjusted to the historical duration that the ice maker is expected to run according to the adjusted equipment operating parameters. The adjusted equipment runtime can be determined by an empirical value table or by reading from historical data.

[0140] S320. When the adjusted equipment runtime is greater than the historical equipment runtime, determine the time difference between the adjusted equipment runtime and the historical equipment runtime as the parameter runtime difference. Determine the ratio of the parameter runtime difference to the historical equipment runtime as the parameter runtime anomaly. Increase the compressor power and ice crushing power in the adjusted equipment operating parameters according to the parameter runtime anomaly, to obtain the runtime-optimized operating parameters corresponding to the adjusted equipment operating parameters. Control the ice maker to make ice according to the runtime-optimized operating parameters.

[0141] In this implementation, when the adjusted running time of the device is greater than the historical running time of the device, the time difference between the adjusted running time and the historical running time can be determined as the parameter duration difference. The parameter duration difference quantifies the extent to which the expected running time is extended relative to the historical running time.

[0142] In this implementation, the ratio of the parameter duration difference to the historical device runtime can be further determined as the parameter duration anomaly, which reflects the relative proportion of runtime changes.

[0143] In this implementation, the compressor power and ice crushing power in the equipment operating parameters are adjusted according to the increase in the abnormality of the parameter duration. That is, by increasing the ratio of the abnormality of the parameter duration to the compressor power and ice crushing power in the equipment operating parameters, the time-optimized operating parameters corresponding to the adjusted equipment operating parameters can be obtained. The greater the abnormality of the parameter duration, the greater the increase in the compressor power and ice crushing power. This adjustment method takes into account the severity of the extended operating time.

[0144] For example, when an ice maker is simultaneously making ice blocks and ice slush, if the expected operating time exceeds the historical operating time, the compressor power and ice crushing power can be adjusted by calculating the parameter duration difference and parameter duration anomaly. The higher the parameter duration anomaly, the greater the increase in compressor power and ice crushing power, thereby ensuring that the ice-making process is completed within a reasonable time.

[0145] In this implementation, the ice maker can be controlled to optimize operating parameters according to the duration of ice production.

[0146] The beneficial effect of the above implementation method is that it obtains the historical equipment runtime corresponding to the ice maker running according to the historical equipment operating parameters, and the adjusted equipment runtime corresponding to the ice maker running according to the expected adjusted equipment operating parameters. When the adjusted equipment runtime is greater than the historical equipment runtime, it determines the parameter runtime difference and the parameter runtime anomaly. Then, it increases the compressor power and ice crushing power in the adjusted equipment operating parameters according to the parameter runtime anomaly, obtains the time-optimized operating parameters, and finally controls the ice maker to make ice according to the time-optimized operating parameters. This can avoid the ice making or ice crushing time of the ice maker being too long due to the adjustment of equipment operating parameters, effectively ensure ice making efficiency, and ensure that the ice making process is completed within a reasonable time.

[0147] The beneficial effects of the above implementation method are also that if the adjusted equipment runtime is greater than the historical equipment runtime, the increase in compressor power and ice crushing power can be determined by calculating the difference in parameter runtime and the abnormality of parameter runtime, thereby obtaining the runtime-optimized operating parameters, making the power adjustment more in line with the actual ice-making time requirements, avoiding insufficient or excessive power adjustment, improving the accuracy of power adjustment, and achieving a balance between ice-making efficiency and power consumption; making the runtime control and power control in the ice-making process work together, avoiding the incoordination of the ice-making process caused by parameter adjustment, and improving the overall stability and reliability of the ice maker.

[0148] This application also provides an ice-making power consumption control system based on multi-dimensional data fusion, including a unit for implementing the above-described ice-making power consumption control method based on multi-dimensional data fusion.

[0149] Figure 13 A schematic diagram of the logic structure of an ice-making power consumption control system based on multi-dimensional data fusion is provided for an embodiment of this application, as shown below. Figure 13 As shown, the system 1 of this embodiment includes a processing unit 11, a storage unit 12, and a transceiver unit 13. The processing unit 11 is used to process data, the storage unit 12 is used to store data, and the transceiver unit 13 is used to send and receive data. The processing unit 11, the storage unit 12, and the transceiver unit 13 cooperate with each other to implement the above-described method. The beneficial effects of the embodiments of this application have been described in the above-described method and will not be repeated here.

[0150] It should be noted that the information interaction and execution process between the above-mentioned devices / units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, and they will not be repeated here.

[0151] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0152] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of this application can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or device capable of carrying computer program code to a photographing device / terminal device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. Examples include USB flash drives, portable hard drives, magnetic disks, or optical disks. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electrical carrier signals or telecommunication signals.

[0153] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0154] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0155] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0156] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0157] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for controlling ice-making power consumption based on multi-dimensional data fusion, characterized in that, The method includes: Obtain ice-making demand information from the ice maker; obtain historical equipment operating parameters corresponding to the ice-making demand information, and obtain the preset historical equipment operating parameter range corresponding to the historical equipment operating parameters; wherein, the ice-making demand information includes ice cube mode, large-particle shaved ice mode, and small-particle shaved ice mode, the historical equipment operating parameters include compressor power, compressor cooling time, ice crushing power, and ice crushing time, and the preset historical equipment operating parameter range represents the power consumption control requirements corresponding to the ice-making demand information, and the preset historical equipment operating parameter range includes the parameter ranges corresponding to compressor power, compressor cooling time, ice crushing power, and ice crushing time respectively; When the historical equipment operating parameters are within the preset range, the ice maker is controlled to make ice according to the historical equipment operating parameters; when the historical equipment operating parameters are not within the preset range, the corresponding adjustment equipment operating parameters are determined, and the ice maker is controlled to make ice according to the adjustment equipment operating parameters.

2. The method according to claim 1, characterized in that, When the historical equipment operating parameters are not within the preset range, determine the corresponding adjusted equipment operating parameters and control the ice maker to make ice according to the adjusted equipment operating parameters, including: In the large-particle mode or small-particle mode of slushie, when the ice crushing time in the historical equipment operating parameters is greater than the maximum ice crushing time corresponding to the preset historical equipment operating parameter range, the difference between the maximum ice crushing time and the ice crushing time is determined, and the ratio of the difference between the maximum ice crushing time and the ice crushing time to the ice crushing time is determined as the deviation of the ice crushing time. Increase the power corresponding to the deviation of the ice crushing time by increasing the ice crushing power to obtain the adjusted ice crushing power in the adjusted equipment operating parameters corresponding to the historical equipment operating parameters; decrease the power corresponding to the deviation of the ice crushing time by decreasing the compressor power to obtain the adjusted compressor power in the adjusted equipment operating parameters corresponding to the historical equipment operating parameters; control the ice maker to make ice according to the adjusted equipment operating parameters.

3. The method according to claim 2, characterized in that, When the historical equipment operating parameters are not within the preset range of historical equipment operating parameters, the corresponding adjusted equipment operating parameters are determined, and the ice maker is controlled to make ice according to the adjusted equipment operating parameters. This also includes: In either the large-particle or small-particle slush mode, when the ice-crushing time in the historical equipment operating parameters is less than the minimum ice-crushing time corresponding to the preset historical equipment operating parameter range, the user's slush particle size evaluation value and slush quality evaluation value are obtained; the corresponding adjustment range of the ice-crushing time for the slush particle size evaluation value and slush quality evaluation value is then obtained. Increase the power corresponding to the deviation of the ice crushing time by increasing the ice crushing power to obtain the adjusted ice crushing power in the adjusted equipment operating parameters corresponding to the historical equipment operating parameters; decrease the power corresponding to the deviation of the ice crushing time by decreasing the compressor power to obtain the adjusted compressor power in the adjusted equipment operating parameters corresponding to the historical equipment operating parameters; control the ice maker to make ice according to the adjusted equipment operating parameters.

4. The method according to claim 3, characterized in that, When the historical equipment operating parameters are not within the preset range of historical equipment operating parameters, the corresponding adjusted equipment operating parameters are determined, and the ice maker is controlled to make ice according to the adjusted equipment operating parameters. This also includes: In ice cube mode, when the compressor cooling time in the historical equipment operating parameters is greater than the maximum compressor cooling time corresponding to the preset historical equipment operating parameter range, the switching probability value of the ice maker switching from ice cube mode to large-particle ice slush mode or small-particle ice slush mode in the historical equipment operating parameters is obtained; the compressor power adjustment range corresponding to the switching probability value is obtained; where, the larger the switching probability value, the larger the compressor power adjustment range. Increase the compressor power by the amount corresponding to the compressor power adjustment range to obtain the adjusted compressor power in the adjusted equipment operating parameters corresponding to the historical equipment operating parameters; control the ice maker to make ice according to the adjusted equipment operating parameters.

5. The method according to claim 4, characterized in that, When the historical equipment operating parameters are not within the preset range of historical equipment operating parameters, the corresponding adjusted equipment operating parameters are determined, and the ice maker is controlled to make ice according to the adjusted equipment operating parameters. This also includes: In ice mode, the deviation of ice crushing time corresponding to historical equipment operating parameters is obtained, and the sum of compressor power adjustment range and ice crushing time deviation range is determined as the correction range for compressor power adjustment range; The power corresponding to the adjustment range of the compressor power is increased to obtain the adjusted compressor power in the adjusted equipment operating parameters corresponding to the historical equipment operating parameters; the ice maker is controlled to make ice according to the adjusted equipment operating parameters.

6. The method according to claim 5, characterized in that, When the historical equipment operating parameters are not within the preset range of historical equipment operating parameters, the corresponding adjusted equipment operating parameters are determined, and the ice maker is controlled to make ice according to the adjusted equipment operating parameters. This also includes: In ice mode, the number of times the ice-breaking time in the historical equipment operating parameters exceeds the maximum ice-breaking time corresponding to the preset historical equipment operating parameter range is obtained as the number of ice-breaking time deviations; the compressor power adjustment weight and ice-breaking time deviation adjustment weight corresponding to the number of ice-breaking time deviations are obtained; the sum of the product of the compressor power adjustment amplitude and the compressor power adjustment weight, and the product of the ice-breaking time deviation amplitude and the ice-breaking time deviation adjustment weight is determined as the correction compressor power adjustment amplitude; The power corresponding to the adjustment range of the compressor power is increased to obtain the adjusted compressor power in the adjusted equipment operating parameters corresponding to the historical equipment operating parameters; the ice maker is controlled to make ice according to the adjusted equipment operating parameters.

7. The method according to claim 6, characterized in that, The method further includes: Obtain the compressor's base operating power and ice crushing base operating power for ice cube mode, large-particle ice slush mode, and small-particle ice slush mode, respectively; In ice cube mode, large-particle slush mode, or small-particle slush mode, when the adjusted compressor power is less than the compressor's base operating power, the adjusted compressor power will be set to the compressor's base operating power; in ice cube mode, large-particle slush mode, or small-particle slush mode, when the adjusted crushing power is less than the crushing power's base operating power, the adjusted crushing power will be set to the crushing power's base operating power.

8. The method according to claim 7, characterized in that, The method further includes: Obtain the maximum operating power of the compressor and the maximum operating power of ice crushing for ice cube mode, large-particle ice slush mode and small-particle ice slush mode respectively; In ice cube mode, large-particle slush mode, or small-particle slush mode, if the adjusted compressor power is greater than the compressor's maximum operating power, the compressor power will be adjusted to the compressor's maximum operating power; in ice cube mode, large-particle slush mode, or small-particle slush mode, if the adjusted ice crushing power is greater than the ice crushing maximum operating power, the ice crushing power will be adjusted to the ice crushing maximum operating power.

9. The method according to claim 8, characterized in that, The method further includes: Obtain the historical operating time of the ice maker when it runs according to the historical operating parameters, and obtain the expected operating time of the ice maker when it runs according to the adjusted operating parameters. When the operating time of the adjusted equipment is greater than the historical operating time, the time difference between the adjusted equipment operating time and the historical equipment operating time is determined as the parameter duration difference; the ratio of the parameter duration difference to the historical equipment operating time is determined as the parameter duration anomaly; the compressor power and ice crushing power in the operating parameters of the adjusted equipment are increased according to the parameter duration anomaly to obtain the duration-optimized operating parameters corresponding to the adjusted equipment operating parameters; the ice maker is controlled to make ice according to the duration-optimized operating parameters.

10. An ice-making power consumption control system based on multi-dimensional data fusion, characterized in that, Includes units for implementing the method of any one of claims 1 to 9.

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