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

Abstract

The invention 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, and the method comprises the steps: obtaining the ice-making demand information of an ice maker; acquiring historical equipment operation parameters corresponding to the ice making demand information, and acquiring 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 the compressor power, the compressor refrigeration time, the ice crushing power and the ice crushing time respectively; when the historical equipment operation parameters are within a preset historical equipment operation parameter range, controlling the ice maker to make ice according to the historical equipment operation parameters; and when the historical equipment operation parameters are not within the preset historical equipment operation parameter range, determining adjustment equipment operation parameters corresponding to the historical equipment operation parameters, and controlling the ice maker to make ice according to the adjustment equipment operation parameters. The power control effect of the ice maker capable of making ice blocks and smoothie at the same time can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of ice maker control, more particularly, to an ice making power consumption control method and system based on multi-dimensional data fusion. BACKGROUND

[0002] With the increasing demand for diversified ice products in household and commercial scenarios, integrated ice makers that can simultaneously realize ice cube making and ice slush making have appeared on the market. Such ice makers usually integrate ice making modules and ice slush preparation modules, wherein the ice making modules cool and condense water into block ice bodies through components such as compressors and evaporators, and the ice slush preparation modules are configured with crushing cutters or grinding components to crush and grind the ice cubes generated by the ice making modules into ice slush; some ice makers are also provided with a function switching mechanism, so that users can switch between ice making mode and ice slush making mode by operating the control panel, and are widely used in household kitchens, milk tea shops, convenience stores and other scenarios to meet the instant demand of users for different forms of ice products.

[0003] In the actual use process of the existing ice maker that can simultaneously make ice cubes and ice slush, when the user switches from ice cube making mode to ice slush making mode, or switches from ice slush making mode back to ice cube making mode, the ice maker cannot automatically adjust the power output of core components such as compressors and crushing motors according to the load demand under different working modes. The ice making modules and ice slush preparation modules of the existing ice maker mostly run at fixed power or require manual adjustment of power parameters, which leads to problems such as waste of energy consumption due to excessive power of the ice making module or ice slush preparation module after switching scenarios, or decreased ice making efficiency and insufficient ice slush fineness due to insufficient power, and the overall power control effect is poor. Therefore, the existing ice maker that can simultaneously make ice cubes and ice slush needs to solve the problem of insufficient power control adaptability. SUMMARY

[0004] The purpose of the present application is to provide an ice making power consumption control method and system based on multi-dimensional data fusion, which solves the technical problem of insufficient power control adaptability of the ice maker that can simultaneously make ice cubes and ice slush, and achieves the technical effect of improving the power control effect of the ice maker that can simultaneously make ice cubes and ice slush.

[0005] The embodiment of the application provides a kind of ice making power consumption control method based on multi-dimensional data fusion, method includes: obtaining the ice making demand information of ice maker;The historical equipment operating parameter corresponding to ice making demand information is obtained, and the preset historical equipment operating parameter range corresponding to historical equipment operating parameter is obtained;Wherein, ice making demand information includes ice block mode, ice sand large granularity mode and ice sand small granularity mode, historical equipment operating parameter includes compressor power, compressor refrigeration time, ice crushing power and ice crushing time, preset historical equipment operating parameter range represents the power consumption control demand corresponding to ice making demand information, and preset historical equipment operating parameter range includes the parameter range corresponding to compressor power, compressor refrigeration time, ice crushing power and ice crushing time respectively;When historical equipment operating parameter is in preset historical equipment operating parameter range, control ice maker according to historical equipment operating parameter ice making;When historical equipment operating parameter is not in preset historical equipment operating parameter range, determine the adjustment equipment operating parameter corresponding to historical equipment operating parameter, control ice maker according to adjustment equipment operating parameter ice making.

[0006] In a possible implementation, when the historical equipment operating parameter is not in the preset historical equipment operating parameter range, the adjustment equipment operating parameter corresponding to the historical equipment operating parameter is determined, and the ice maker is controlled to make ice according to the adjustment equipment operating parameter, comprising: in the ice sand large granularity mode or the ice sand small granularity mode, when the ice crushing time in the historical equipment operating parameter 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 and the ice crushing time is determined as the ice crushing time deviation range;The ice crushing power is increased by the power corresponding to the ice crushing time deviation range, to obtain the adjustment ice crushing power in the adjustment equipment operating parameter corresponding to the historical equipment operating parameter;The compressor power is reduced by the power corresponding to the ice crushing time deviation range, to obtain the adjustment compressor power in the adjustment equipment operating parameter corresponding to the historical equipment operating parameter;The ice maker is controlled to make ice according to the adjustment equipment operating parameter.

[0007] In another possible implementation, when the historical device running parameter is not within the preset historical device running parameter range, the adjustment device running parameter corresponding to the historical device running parameter is determined, and the ice maker is controlled to make ice according to the adjustment device running parameter, and the method further includes: in the smoothie large-granularity mode or the smoothie small-granularity mode, when the flaking ice time in the historical device running parameter is less than the minimum flaking ice time corresponding to the preset historical device running parameter range, the smoothie granularity evaluation value and the smoothie quality evaluation value of the user are obtained; the flaking ice time adjustment amplitude corresponding to the smoothie granularity evaluation value and the smoothie quality evaluation value is obtained; the flaking ice power is increased by the power corresponding to the flaking ice time deviation amplitude, to obtain the adjustment flaking ice power in the adjustment device running parameter corresponding to the historical device running parameter; the compressor power is reduced by the power corresponding to the flaking ice time deviation amplitude, to obtain the adjustment compressor power in the adjustment device running parameter corresponding to the historical device running parameter; and the ice maker is controlled to make ice according to the adjustment device running parameter.

[0008] In another possible implementation, when the historical device running parameter is not within the preset historical device running parameter range, the adjustment device running parameter corresponding to the historical device running parameter is determined, and the ice maker is controlled to make ice according to the adjustment device running parameter, and the method further includes: in the ice block mode, when the compressor refrigeration time in the historical device running parameter is greater than the maximum compressor refrigeration time corresponding to the preset historical device running parameter range, the switching probability value of the ice maker from the ice block mode to the smoothie large-granularity mode or the smoothie small-granularity mode is obtained; the compressor power adjustment amplitude corresponding to the switching probability value is obtained; when the switching probability value is greater, the compressor power adjustment amplitude is greater; the compressor power is increased by the power corresponding to the compressor power adjustment amplitude, to obtain the adjustment compressor power in the adjustment device running parameter corresponding to the historical device running parameter; and the ice maker is controlled to make ice according to the adjustment device running parameter.

[0009] In another possible implementation, when the historical device running parameter is not within the preset historical device running parameter range, the adjustment device running parameter corresponding to the historical device running parameter is determined, and the ice maker is controlled to make ice according to the adjustment device running parameter, and the method further includes: in the ice block mode, the flaking ice time deviation amplitude corresponding to the historical device running parameter is obtained, the sum of the compressor power adjustment amplitude and the flaking ice time deviation amplitude is determined as the corrected compressor power adjustment amplitude; the compressor power is increased by the power corresponding to the corrected compressor power adjustment amplitude, to obtain the adjustment compressor power in the adjustment device running parameter corresponding to the historical device running parameter; and the ice maker is controlled to make ice according to the adjustment device running parameter.

[0010] In another possible implementation, when the historical device operation parameter is not within the preset historical device operation parameter range, the adjustment device operation parameter corresponding to the historical device operation parameter is determined, and the ice maker is controlled to make ice according to the adjustment device operation parameter, and the method further includes: in the ice cube mode, obtaining a number of times that a crushed ice time in the historical device operation parameter is greater than a maximum crushed ice time corresponding to the preset historical device operation parameter range as a crushed ice time deviation number; obtaining a compressor power adjustment weight and a crushed ice time deviation adjustment weight corresponding to the crushed ice time deviation number; determining a sum of a product of a compressor power adjustment amplitude and the compressor power adjustment weight and a product of a crushed ice time deviation amplitude and the crushed ice time deviation adjustment weight as a corrected compressor power adjustment amplitude; increasing the power of the compressor by the corrected compressor power adjustment amplitude corresponding to the corrected compressor power adjustment amplitude to obtain an adjustment compressor power in the adjustment device operation parameter corresponding to the historical device operation parameter; and controlling the ice maker to make ice according to the adjustment device operation parameter.

[0011] In another possible implementation, the method further includes: obtaining a compressor basic operation power and a crushed ice basic operation power corresponding to the ice cube mode, the ice slush large granularity mode, and the ice slush small granularity mode respectively; when the adjustment compressor power is less than the compressor basic operation power in the ice cube mode, the ice slush large granularity mode, or the ice slush small granularity mode, the adjustment compressor power is adjusted to the compressor basic operation power; and when the adjustment crushed ice power is less than the crushed ice basic operation power in the ice cube mode, the ice slush large granularity mode, or the ice slush small granularity mode, the adjustment crushed ice power is adjusted to the crushed ice basic operation power.

[0012] In another possible implementation, the method further includes: obtaining a compressor maximum operation power and a crushed ice maximum operation power corresponding to the ice cube mode, the ice slush large granularity mode, and the ice slush small granularity mode respectively; when the adjustment compressor power is greater than the compressor maximum operation power in the ice cube mode, the ice slush large granularity mode, or the ice slush small granularity mode, the adjustment compressor power is adjusted to the compressor maximum operation power; and when the adjustment crushed ice power is greater than the crushed ice maximum operation power in the ice cube mode, the ice slush large granularity mode, or the ice slush small granularity mode, the adjustment crushed ice power is adjusted to the crushed ice maximum operation power.

[0013] In another possible implementation, the method further includes: obtaining a historical device running duration corresponding to the ice maker running according to the historical device running parameter, and obtaining an adjusted device running duration corresponding to the ice maker running according to the adjusted device running parameter; when the adjusted device running duration is greater than the historical device running duration, determining a time difference value of the adjusted device running duration and the historical device running duration as a parameter duration difference value; determining a ratio of the parameter duration difference value and the historical device running duration as a parameter duration abnormality degree; increasing the compressor power and the ice crushing power in the adjusted device running parameter according to the increasing parameter duration abnormality degree, to obtain a duration optimized running parameter corresponding to the adjusted device running parameter; and controlling the ice maker to make ice according to the duration optimized running parameter.

[0014] The embodiment of the present application also provides an ice making power consumption control system based on multi-dimensional data fusion, which comprises units for implementing the ice making power consumption control method based on multi-dimensional data fusion.

[0015] Compared with the prior art, the embodiment of the present application has the following beneficial effects: The embodiment of the present application provides an ice making power consumption control method based on multi-dimensional data fusion, which comprises: obtaining ice making demand information of an ice maker; obtaining historical device running parameters corresponding to the ice making demand information, and obtaining a preset historical device running parameter range corresponding to the historical device running parameters; wherein the ice making demand information comprises an ice block mode, an ice slush large-granularity mode and an ice slush small-granularity mode, the historical device running parameters comprise a compressor power, a compressor refrigeration time, an ice crushing power and an ice crushing time, the preset historical device running parameter range represents a power consumption control demand corresponding to the ice making demand information, and the preset historical device running parameter range comprises parameter ranges corresponding to the compressor power, the compressor refrigeration time, the ice crushing power and the ice crushing time respectively; when the historical device running parameters are within the preset historical device running parameter range, controlling the ice maker to make ice according to the historical device running parameters; and when the historical device running parameters are not within the preset historical device running parameter range, determining adjusted device running parameters corresponding to the historical device running parameters, and controlling the ice maker to make ice according to the adjusted device running parameters. The method in the embodiment of the present application can realize accurate correspondence between ice making demand and running parameters, and avoid energy waste caused by disconnection between parameters and demand. BRIEF DESCRIPTION OF DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without any creative labor.

[0017] Figure 1A flowchart of a first ice-making power consumption control method based on multi-dimensional data fusion provided by an embodiment of the present application is shown in FIG. 1. Figure 2 A flowchart of a first ice-making power consumption control method based on multi-dimensional data fusion provided by an embodiment of the present application is shown in FIG. 1. Figure 3 A flowchart of a second ice-making power consumption control method based on multi-dimensional data fusion provided by an embodiment of the present application is shown in FIG. 2. Figure 4 A flowchart of a second ice-making power consumption control method based on multi-dimensional data fusion provided by an embodiment of the present application is shown in FIG. 2. Figure 5 A flowchart of a third ice-making power consumption control method based on multi-dimensional data fusion provided by an embodiment of the present application is shown in FIG. 3. Figure 6 A flowchart of a third ice-making power consumption control method based on multi-dimensional data fusion provided by an embodiment of the present application is shown in FIG. 3. Figure 7 A flowchart of a fourth ice-making power consumption control method based on multi-dimensional data fusion provided by an embodiment of the present application is shown in FIG. 4. Figure 8 A flowchart of a fourth ice-making power consumption control method based on multi-dimensional data fusion provided by an embodiment of the present application is shown in FIG. 4. Figure 9 A flowchart of a fifth ice-making power consumption control method based on multi-dimensional data fusion provided by an embodiment of the present application is shown in FIG. 5. Figure 10 A flowchart of a fifth ice-making power consumption control method based on multi-dimensional data fusion provided by an embodiment of the present application is shown in FIG. 5. Figure 11 A flowchart of a sixth ice-making power consumption control method based on multi-dimensional data fusion provided by an embodiment of the present application is shown in FIG. 6. Figure 12 A flowchart of a sixth ice-making power consumption control method based on multi-dimensional data fusion provided by an embodiment of the present application is shown in FIG. 6. Figure 13 A flowchart of a sixth ice-making power consumption control method based on multi-dimensional data fusion provided by an embodiment of the present application is shown in FIG. 6. DETAILED DESCRIPTION

[0018] It should be understood that when used in the specification and the appended claims, the term "comprises" indicates the presence of the described features, integers, steps, operations, elements, and / or components, but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0019] It should also be understood that the term “and / or” as used herein refers to any one or more of the associated listed items, in any combination, and includes all possible combinations of the associated listed items.

[0020] As used in the description of the application and the appended claims, the term “if’ can be interpreted to mean “when” or “upon” or “in response to determining” or “in response to detecting” depending on the context. Similarly, the phrase “if it is determined” or “if [a described condition or event] is detected” can be interpreted to mean “upon determining” or “in response to determining” or “upon detecting [the described condition or event]” or “in response to detecting [the described condition or event],” depending on the context.

[0021] In addition, the terms “first,” “second,” “third,” etc. as used in the description of the application and the appended claims are used only to differentiate between different instances of the same feature, and are not meant to imply or suggest relative importance of the described features.

[0022] Reference throughout this specification to “one embodiment” or “an embodiment” or “some embodiments” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the application. Thus, the appearances of the phrases “in one embodiment,” “in some embodiments,” “in other embodiments,” “in additional embodiments,” and so on, in various places throughout this specification are not necessarily all referring to the same embodiment, unless otherwise specified. The terms “comprises,” “comprising,” “includes,” “including,” “has,” “having” and their variants are meant to be open-ended terms that specifically permit the inclusion of one or more of the listed items, but not excluding others.

[0023] In actual use, the existing ice maker capable of simultaneously making ice cubes and ice slush cannot automatically adjust the power output of core components such as compressors and crushing motors according to the load demand in different working modes.

[0024] For the above reasons, the embodiment of the present application provides a multi-dimensional data fusion-based ice making power consumption control method, which comprises: 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; wherein the ice making demand information comprises an ice block mode, an ice slush large-granularity mode and an ice slush small-granularity mode, the historical equipment operation parameters comprise a compressor power, a compressor refrigeration time, an ice crushing power and an ice crushing time, the preset historical equipment operation parameter range represents a power consumption control demand corresponding to the ice making demand information, and the preset historical equipment operation parameter range comprises parameter ranges corresponding to the compressor power, the compressor refrigeration time, the ice crushing power and the ice crushing 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; and 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 method in the embodiment of the present application can realize accurate correspondence between ice making demand and operation parameters, and avoid energy waste caused by disconnection between parameters and demand.

[0025] In some scenarios, the multi-dimensional data fusion-based ice making power consumption control method of the embodiment of the present application can be applied to an ice maker capable of making ice blocks and ice slush simultaneously, so as to improve the power consumption control effect of the ice maker in use, and improve the overall power consumption performance and performance of the ice maker.

[0026] The multi-dimensional data fusion-based ice making power consumption control method provided by the embodiment of the present application will be described in detail below with reference to specific examples.

[0027] Figure 1 The flowchart of the first multi-dimensional data fusion-based ice making power consumption control method provided by the embodiment of the present application is shown in FIG. 1, which comprises S110 to S120, and S110 to S120 will be described in detail below. Figure 1

[0028] S110, obtaining ice making demand information of an ice maker. Historical equipment operation parameters corresponding to the ice making demand information are obtained, and a preset historical equipment operation parameter range corresponding to the historical equipment operation parameters is obtained. Wherein the ice making demand information comprises an ice block mode, an ice slush large-granularity mode and an ice slush small-granularity mode, the historical equipment operation parameters comprise a compressor power, a compressor refrigeration time, an ice crushing power and an ice crushing time, the preset historical equipment operation parameter range represents a power consumption control demand corresponding to the ice making demand information, and the preset historical equipment operation parameter range comprises parameter ranges corresponding to the compressor power, the compressor refrigeration time, the ice crushing power and the ice crushing time respectively. ​

[0029] 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.

[0030] 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.

[0031] 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.

[0032] For example, the historical equipment operating parameters can be the average of the equipment operating parameters for the most recent three ice-making operations.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] The ice-making demand information of the ice cube mode, the ice slush large-granularity mode or the ice slush small-granularity mode is acquired first, and then the historical equipment operation parameters such as the compressor power, the compressor refrigeration time, the crushed ice power and the crushed ice time corresponding to the demand are acquired, and the preset historical equipment operation parameter range corresponding to these parameters is called, so that the accurate correspondence between the ice-making demand and the operation parameter is realized, an adaptive basis is provided for subsequent power consumption control, and energy waste caused by disconnection between the parameters and the demand is avoided.

[0037] The ice-making demand information of the ice cube mode, the ice slush large-granularity mode or the ice slush small-granularity mode is acquired first, and then the historical equipment operation parameters such as the compressor power, the compressor refrigeration time, the crushed ice power and the crushed ice time corresponding to the demand are acquired, and the preset historical equipment operation parameter range corresponding to these parameters is called, so that the accurate correspondence between the ice-making demand and the operation parameter is realized, an adaptive basis is provided for subsequent power consumption control, and energy waste caused by disconnection between the parameters and the demand is avoided.

[0038] The ice-making demand information of the ice cube mode, the ice slush large-granularity mode or the ice slush small-granularity mode is acquired first, and then the historical equipment operation parameters such as the compressor power, the compressor refrigeration time, the crushed ice power and the crushed ice time corresponding to the demand are acquired, and the preset historical equipment operation parameter range corresponding to these parameters is called, so that the accurate correspondence between the ice-making demand and the operation parameter is realized, an adaptive basis is provided for subsequent power consumption control, and energy waste caused by disconnection between the parameters and the demand is avoided.

[0039] Figure 3 The second ice-making power consumption control method based on multi-dimensional data fusion provided by the embodiment of the application is shown in a flowchart as shown in Figure 3 When the historical equipment operation parameter is not in the preset historical equipment operation parameter range, the adjustment equipment operation parameter corresponding to the historical equipment operation parameter is determined, and the ice maker is controlled to make ice according to the adjustment equipment operation parameter, including S121 to S122, which will be described below.

[0040] In the ice slush large-granularity mode or the ice slush small-granularity mode, when the crushed ice time in the historical equipment operation parameter is greater than the maximum crushed ice time corresponding to the preset historical equipment operation parameter range, the difference between the maximum crushed ice time and the crushed ice time is determined, and the ratio of the difference between the maximum crushed ice time and the crushed ice time to the crushed ice time is determined as the crushed ice time deviation range.

[0041] In the ice slush large granularity mode or the ice slush small granularity mode, when the crushing ice time in the historical device running parameter is greater than the maximum crushing ice time corresponding to the preset historical device running parameter range, it is indicated that the user actively prolongs the crushing ice time in the historical device running parameter to achieve the crushing ice effect, and the crushing ice time is too long. At this time, the difference between the maximum crushing ice time and the crushing ice time can be determined, and the ratio of the difference between the maximum crushing ice time and the crushing ice time to the crushing ice time is determined as the crushing ice time deviation range. The crushing ice time deviation range can reflect the relative degree of the actual crushing ice time exceeding the maximum crushing ice time, and provide a quantitative basis for subsequent power adjustment.

[0042] For example, the crushing ice time in the historical device running parameter can be a crushing ice time actively controlled by the user. The user can adaptively adjust the crushing ice effect according to the crushing ice demand by controlling the crushing ice time.

[0043] For example, during the operation of the ice maker, when it is detected that the crushing ice time exceeds the maximum crushing ice time corresponding to the preset historical device running parameter range, the abnormality degree can be quantified by calculating the crushing ice time deviation range. The greater the crushing ice time deviation range, the more obvious the crushing ice efficiency decreases, and the greater the power adjustment is required to ensure the ice making effect.

[0044] S122, the crushing ice power is increased by the power corresponding to the crushing ice time deviation range, to obtain the adjusted crushing ice power in the adjusted device running parameter corresponding to the historical device running parameter. The compressor power is reduced by the power corresponding to the crushing ice time deviation range, to obtain the adjusted compressor power in the adjusted device running parameter corresponding to the historical device running parameter. The ice maker is controlled to make ice according to the adjusted device running parameter.

[0045] In the implementation mode, the crushing ice power can be increased by the power corresponding to the crushing ice time deviation range, and then the adjusted crushing ice power in the adjusted device running parameter corresponding to the historical device running parameter is obtained. At the same time, the compressor power can be reduced by the power corresponding to the crushing ice time deviation range, and the adjusted compressor power in the adjusted device running parameter corresponding to the historical device running parameter is obtained. This bidirectional adjustment mechanism can cooperatively optimize the two key running parameters, so that the crushing ice process can be completed in a shorter time under the premise of stable overall power of the ice maker, the ice making power is appropriately reduced during the crushing ice process, the ice making process is stable and the energy consumption is controllable, and the energy consumption control effect of the ice maker during the ice making process is better.

[0046] For example, when the crushing ice time is too long during the ice slush making of the ice maker, the crushing ice efficiency can be improved by increasing the crushing ice power, and the overall energy consumption can be balanced by reducing the compressor power.

[0047] In this implementation, the ice maker can be controlled to make ice according to the adjusted device operation parameters, so as to ensure that the ice making process is run under the optimized parameters, and the adjusted device operation parameters can better adapt to the current ice making demand, and improve the stability and economy of the ice making process.

[0048] For example, in the ice slush large granularity mode, when the ice crushing time exceeds the maximum ice crushing time, the ice maker can quickly recover to the normal ice making state while maintaining the stability of the ice slush granularity by implementing the above adjustment strategy.

[0049] The above-mentioned implementation has the beneficial effect that, in the ice slush large granularity mode or the ice slush small granularity mode, when the ice crushing time in the historical device operation parameters is greater than the maximum ice crushing time corresponding to the preset historical device operation parameter range, the difference between the maximum ice crushing time and the ice crushing time is first determined, and then the ratio of the difference to the ice crushing time is calculated as the ice crushing time deviation amplitude, and then the adjusted ice crushing power is obtained by increasing the ice crushing power according to the amplitude, and the adjusted compressor power is obtained by decreasing the compressor power, and finally the ice maker is controlled to make ice according to the adjusted device operation parameters, which can accurately respond to the ice crushing time abnormality, so that the ice maker can, when the ice crushing time is out of limit, avoid the decrease in ice making efficiency or the increase in additional energy consumption caused by single parameter adjustment by reasonably adjusting the ice crushing power and the compressor power, and ensure the stability of the ice making process and the controllability of the energy consumption.

[0050] The above-mentioned implementation also has the beneficial effect that, when the historical device operation parameters are not in the preset range, the ice crushing power and the compressor power are adjusted in the opposite direction based on the ice crushing time deviation amplitude, i.e., the ice crushing power is increased by the corresponding amplitude and the compressor power is decreased by the corresponding amplitude, which can make the two key operation parameters cooperate with each other and better adapt to the current ice making demand, effectively avoid the ice making quality problems caused by the incoordination between parameters, such as the ice slush granularity not meeting the standard, and maintain the overall energy consumption in a reasonable range.

[0051] The above-mentioned implementation also has the beneficial effect that, the accurate ice crushing time deviation amplitude is obtained by calculating the difference and the ratio, and then the amplitude is used as the basis for adjusting the ice crushing power and the compressor power, so as to ensure that the adjustment amount accurately matches the deviation degree of the ice crushing time, and this accurate amplitude control avoids the situation of over-adjustment or under-adjustment, so that the ice maker can quickly return to the reasonable running state when the parameters are abnormal, which not only ensures the ice making efficiency but also further optimizes the power consumption control effect.

[0052] Figure 5 The third ice making power consumption control method based on multi-dimensional data fusion provided by the embodiments of the present application has the flowchart as shown in Figure 5As shown, in some implementations, when the historical device running parameter is not within the preset historical device running parameter range, the method further includes S123-S124, which are described below.

[0053] S123, in the smoothie large-granularity mode or the smoothie small-granularity mode, when the ice crushing time in the historical device running parameter is less than the minimum ice crushing time corresponding to the preset historical device running parameter range, the ice crushing granularity evaluation value and the ice crushing quality evaluation value of the user are obtained. The ice crushing time adjustment range corresponding to the ice crushing granularity evaluation value and the ice crushing quality evaluation value is obtained.

[0054] Figure 6 A working flow diagram of a third ice-making power consumption control method based on multi-dimensional data fusion provided by the embodiments of the present application is shown in FIG. 6. Figure 6 As shown, in the smoothie large-granularity mode or the smoothie small-granularity mode, when the ice crushing time in the historical device running parameter is less than the minimum ice crushing time corresponding to the preset historical device running parameter range, it indicates that the working time of the ice crushing module is too short, which may result in poor ice crushing effect. At this time, the ice crushing granularity evaluation value and the ice crushing quality evaluation value of the user can be obtained, which reflect the satisfaction degree of the user on the granularity size and overall quality of the ice crushing product.

[0055] In the present implementation, the ice crushing time adjustment range corresponding to the ice crushing granularity evaluation value and the ice crushing quality evaluation value can be obtained. The ice crushing time adjustment range can be determined according to the experience value table corresponding to the ice crushing granularity evaluation value, the ice crushing quality evaluation value, and the ice crushing time adjustment range. The lower the evaluation value, the greater the gap between the current ice crushing effect and the user's expectation, and the greater the adjustment range required.

[0056] Exemplarily, the experience value table corresponding to the ice crushing granularity evaluation value, the ice crushing quality evaluation value, and the ice crushing time adjustment range can be determined by historical use data. The experience value table corresponding to the ice crushing granularity evaluation value, the ice crushing quality evaluation value, and the ice crushing time adjustment range can adjust the ice crushing time adjustment range.

[0057] S124, the ice crushing power is increased by the power corresponding to the ice crushing time deviation range, to obtain the adjusted ice crushing power in the adjusted device running parameter corresponding to the historical device running parameter. The compressor power is reduced by the power corresponding to the ice crushing time deviation range, to obtain the adjusted compressor power in the adjusted device running parameter corresponding to the historical device running parameter. The ice maker is controlled to make ice according to the adjusted device running parameter.

[0058] In the implementation mode, the ice crushing power can be increased by the power corresponding to the ice crushing time deviation amplitude to obtain the adjusted ice crushing power in the adjusted equipment operation parameter corresponding to the historical equipment operation parameter, and the compressor power can be reduced by the power corresponding to the ice crushing time deviation amplitude to obtain the adjusted compressor power in the adjusted equipment operation parameter corresponding to the historical equipment operation parameter, so that the energy consumption control effect of the ice maker in the ice making process is better.

[0059] After obtaining the adjusted equipment operation parameter, the ice maker can be controlled to make ice according to the adjusted equipment operation parameter. By simultaneously adjusting the ice crushing power and the compressor power, the energy distribution in the ice making process can be optimized to ensure that the ice slurry making effect meets the user's expectation.

[0060] For example, when making ice slurry, if it is detected that the ice crushing time is too short to cause uneven ice slurry granularity, the equipment parameters can be adjusted according to the user's evaluation of the granularity and quality, the ice crushing power is increased and the compressor power is appropriately reduced, so that the granularity distribution of the ice slurry is improved, and the overall energy consumption of the ice maker is controlled to be stable.

[0061] The above-mentioned implementation mode has the beneficial effects that in the ice slurry large-granularity mode or the ice slurry small-granularity mode, when the ice crushing time in the historical equipment operation parameter is less than the minimum ice crushing time corresponding to the preset historical equipment operation parameter range, the ice slurry granularity evaluation value and the ice slurry quality evaluation value of the user are obtained, the ice crushing time adjustment amplitude corresponding to the two evaluation values is obtained, then the ice crushing power is increased by the power corresponding to the ice crushing time deviation amplitude to obtain the adjusted ice crushing power, the compressor power is reduced by the power corresponding to the ice crushing time deviation amplitude to obtain the adjusted compressor power, and finally the ice maker is controlled to make ice according to the adjusted equipment operation parameter. This process takes the user's evaluation into account as the basis for parameter adjustment, so that the adjusted operation parameter is more suitable for the actual needs of the user for the ice slurry, and the user's satisfaction with the ice making result is effectively improved.

[0062] The above-mentioned implementation mode also has the beneficial effects that when dealing with the case that the ice crushing time is less than the preset minimum ice crushing time, the user's ice slurry granularity evaluation value, ice slurry quality evaluation value and equipment ice crushing time deviation amplitude are combined, and the ice crushing power and the compressor power are adjusted based on this. The synergistic effect of multiple factors makes the parameter adjustment more comprehensive, which not only solves the problem of abnormal equipment operation parameters, but also takes into account the user's quality requirements for the ice slurry, so that the overall operation state of the ice maker is more suitable for the actual use scene, and the rationality and stability of the operation are improved.

[0063] Figure 7 A flowchart of a fourth ice making power consumption control method based on multi-dimensional data fusion provided by the embodiments of the present application is shown in FIG. 4. Figure 7As shown, in some implementations, when the historical device running parameter is not within the preset historical device running parameter range in S120 described above, the adjustment device running parameter corresponding to the historical device running parameter is determined, the ice maker is controlled to make ice according to the adjustment device running parameter, and S125-S126 are further included. The following will explain S125-S126 in detail.

[0064] S125, in the ice cube mode, when the compressor refrigeration time in the historical device running parameter is greater than the maximum compressor refrigeration time corresponding to the preset historical device running parameter range, the switching probability value of the ice maker from the ice cube mode to the ice slush large-granularity mode or the ice slush small-granularity mode in the historical device running parameter is obtained. The compressor power adjustment amplitude corresponding to the switching probability value is obtained. Wherein, the greater the switching probability value is, the greater the compressor power adjustment amplitude is.

[0065] Figure 8 The working flow diagram of the fourth ice-making power consumption control method based on multi-dimensional data fusion provided by the embodiment of the present application is as shown in Figure 8 As shown, in the ice cube mode, when the compressor refrigeration time in the historical device running parameter is greater than the maximum compressor refrigeration time corresponding to the preset historical device running parameter range, it indicates that the compressor refrigeration time of the ice maker is relatively long at this time. In order to ensure that ice cubes can be used in the subsequent ice crushing process, the switching probability value of the ice maker from the ice cube mode to the ice slush large-granularity mode or the ice slush small-granularity mode in the historical device running parameter can be obtained. The switching probability value reflects the possibility of the ice maker converting to the ice slush mode in the current ice cube mode.

[0066] Exemplarily, the switching probability value can be determined by the ratio of the switching times of the user within the preset use times in the historical use record. By counting the mode switching records of the user in the historical use record, the switching probability value of the user can be roughly estimated.

[0067] In the present implementation, after obtaining the switching probability value, the compressor power adjustment amplitude corresponding to the switching probability value can be obtained. Wherein, the greater the switching probability value is, the greater the compressor power adjustment amplitude is. This corresponding relationship can be obtained through a preset mapping table.

[0068] Exemplarily, the compressor power adjustment amplitude corresponding to the switching probability value can be obtained through a pre-set empirical value table.

[0069] For example, during the operation of the ice maker, if the compressor refrigeration time exceeds the maximum limit value, and it is detected that the user has a relatively high probability of switching to the ice slush mode, a relatively large compressor power adjustment amplitude can be obtained according to the relatively large switching probability value. In this way, power preparation can be made for the upcoming mode switching.

[0070] S126, the compressor power is increased by a power corresponding to the compressor power adjustment range, to obtain the adjusted compressor power in the adjusted device running parameter corresponding to the historical device running parameter.

[0071] In this implementation, the compressor power is increased by a power corresponding to the compressor power adjustment range, to obtain the adjusted compressor power in the adjusted device running parameter corresponding to the historical device running parameter. This power adjustment operation can be performed immediately, and the ice making performance is optimized by adjusting the running power of the compressor, to ensure that the subsequent ice crushing module can use ice cubes in time.

[0072] After obtaining the adjusted compressor power, the ice maker can be controlled to make ice according to the adjusted device running parameter. The adjusted device running parameter includes the adjusted compressor power, which can ensure that the ice maker can speed up the ice cube making process when the compressor refrigeration time exceeds the limit.

[0073] For example, when the ice maker runs in the ice cube mode for a long time, if the compressor refrigeration time continuously exceeds the maximum limit value, and a higher switching probability value is determined, the compressor power can be increased accordingly to prepare for possible mode switching.

[0074] The above-mentioned implementation has the beneficial effects that when the compressor refrigeration time in the historical device running parameter is greater than the maximum compressor refrigeration time corresponding to the preset historical device running parameter range in the ice cube mode, the switching probability value of the ice maker from the ice cube mode to the slush large-granularity mode or the slush small-granularity mode is first obtained, then the compressor power adjustment range corresponding to the switching probability value is obtained, then the compressor power is increased by a power corresponding to the adjustment range to obtain the adjusted compressor power, and finally the ice maker is controlled to make ice according to the adjusted device running parameter. The compressor power adjustment can accurately match the mode switching demand, avoid low ice making efficiency caused by the compressor refrigeration time exceeding the limit, adapt to potential mode switching demand, and improve the running adaptability in the ice cube mode.

[0075] The beneficial effects of the above implementation manner are also that when the compressor refrigeration time exceeds the preset maximum limit value, the switching probability value of the ice maker switching to the ice slurry large particle size mode or the ice slurry small particle size mode is first determined, and the greater the switching probability value, the greater the compressor power adjustment range, and then the adjusted compressor power is obtained based on the range, and the ice maker is controlled to run, so that the compressor power adjustment is more targeted, the power can be optimized in advance according to the future possible mode switching trend, the power adaptation time during mode switching is reduced, the smoothness of different modes is improved, and the ice block mode ice making effect is ensured; the running problem of the compressor refrigeration time exceeding the limit in the ice block mode can be solved, and the power shortage or excess of the traditional fixed adjustment is avoided, the power is optimized in combination with the mode switching probability, the ice block mode ice making continuity and quality are ensured, and the running stability under the over-limit working condition is improved.

[0076] Figure 9 A flowchart of a fifth ice making power consumption control method based on multi-dimensional data fusion provided by the embodiment of the application is shown in Figure 9 As shown, in some implementation manners, in S120 above, when the historical device running parameter is not within the preset historical device running parameter range, the adjusted device running parameter corresponding to the historical device running parameter is determined, and the ice maker is controlled to make ice according to the adjusted device running parameter, and further comprising S127 to S128, which are specifically described below.

[0077] S127, in the ice block mode, the ice crushing time deviation range corresponding to the historical device running parameter is obtained, and the sum of the compressor power adjustment range and the ice crushing time deviation range is determined as the corrected compressor power adjustment range.

[0078] Figure 10 A working flowchart of the fifth ice making power consumption control method based on multi-dimensional data fusion provided by the embodiment of the application is shown in Figure 10 As shown, in the ice block mode, the ice crushing time deviation range corresponding to the historical device running parameter can be obtained, and the ice crushing time deviation range reflects the difference between the actual ice crushing time and the expected ice crushing time. By quantifying this deviation, the execution of the ice crushing process can be accurately evaluated.

[0079] For example, the ice crushing time deviation range can be calculated by comparing the difference between the ice crushing time mean value corresponding to the historical device running parameter and the standard ice crushing time.

[0080] For example, during the operation of the ice maker, when it is detected that the historical device running parameter is not within the preset historical device running parameter range, the ice crushing time deviation range can be calculated. The ice crushing time deviation range is a positive number indicating that the ice crushing time is too long, and a negative number indicating that the ice crushing time is too short. By obtaining the ice crushing time deviation range, an accurate reference basis can be provided for subsequent power adjustment.

[0081] S128, the compressor power adjustment amplitude corresponding to the power is added to the current compressor power to obtain the adjusted compressor power in the adjusted device running parameter corresponding to the historical device running parameter.

[0082] In the implementation manner, the sum of the compressor power adjustment amplitude and the ice crushing time deviation amplitude is determined as the corrected compressor power adjustment amplitude, the compressor power adjustment amplitude comprehensively considers the compressor power adjustment demand determined in S126 and the ice crushing time deviation, and the comprehensive adjustment amount is obtained by adding the two parameters, and the calculation manner can balance the influence of different factors on the compressor power adjustment.

[0083] For example, in the scenario that the ice maker has both ice cube and ice slush functions, when switching from the ice slush mode to the ice cube mode, the compressor power adjustment amplitude can be determined based on the switching probability value, and the corrected compressor power adjustment amplitude is calculated by combining the ice crushing time deviation amplitude, and through the comprehensive calculation manner, a more accurate power adjustment amount can be obtained.

[0084] In the implementation manner, the compressor power adjustment amplitude corresponding to the power is added to the current compressor power to obtain the adjusted compressor power in the adjusted device running parameter corresponding to the historical device running parameter.

[0085] For example, in the process of making ice cubes by the ice maker, when it is detected that the ice crushing time deviation amplitude is large, the compressor power can be further increased to speed up the refrigeration speed, and the adjusted compressor power can better adapt to the actual operation demand to ensure that the ice making process is efficiently performed.

[0086] In the implementation manner, the ice maker can be controlled to make ice according to the adjusted device running parameter.

[0087] The above-mentioned implementation manner has the beneficial effects that in the ice cube mode, when the compressor refrigeration time in the historical device running parameter is greater than the maximum compressor refrigeration time corresponding to the preset historical device running parameter range, the related technology first obtains the ice crushing time deviation amplitude in the historical device running parameter, then determines the sum of the compressor power adjustment amplitude and the ice crushing time deviation amplitude as the corrected compressor power adjustment amplitude, and finally increases the power corresponding to the corrected compressor power adjustment amplitude to the compressor power and controls the ice maker to operate, so that the compressor can make ice cubes faster to make up for the time gap and power gap in ice making and ice crushing, the compressor power adjustment is more suitable for the ice crushing time deviation in actual operation, and the precision of the compressor power adjustment is improved.

[0088] The beneficial effects of the above implementation manner are also that when the historical device running parameter is not within the preset historical device running parameter range, not only the compressor power adjustment amplitude corresponding to the mode switching probability value is referred to, but also the ice crushing time deviation amplitude is introduced and the sum of the two is calculated to obtain the corrected compressor power adjustment amplitude, and then the compressor power is adjusted and the ice maker is controlled to work, so that the compressor power adjustment takes into account the mode switching probability and the ice crushing time deviation at the same time, the running adaptability of the ice maker in the ice block mode is improved, the power inadaptation problem caused by adjustment according to a single parameter is avoided, the compressor is ensured to run at a more suitable power, and the ice making efficiency of the ice maker in the ice block mode is effectively ensured.

[0089] Figure 11 A flowchart of a sixth ice making power consumption control method based on multi-dimensional data fusion provided by an embodiment of the present application is shown in FIG. 13. As shown in FIG. 13, in some implementation manners, in S120 above, when the historical device running parameter is not within the preset historical device running parameter range, the adjustment device running parameter corresponding to the historical device running parameter is determined, and the ice maker is controlled to make ice according to the adjustment device running parameter, and further comprising S131 to S132, which are specifically described below. Figure 11

[0090] S131, in the ice block mode, the number of times that the ice crushing time in the historical device running parameter is greater than the maximum ice crushing time corresponding to the preset historical device running parameter range is obtained as the ice crushing time deviation number. The compressor power adjustment weight and the ice crushing time deviation adjustment weight corresponding to the ice crushing time deviation number 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 crushing time deviation amplitude and the ice crushing time deviation adjustment weight is determined as the corrected compressor power adjustment amplitude.

[0091] Figure 12 A working flowchart of the sixth ice making power consumption control method based on multi-dimensional data fusion provided by an embodiment of the present application is shown in FIG. 13. As shown in FIG. 13, in the ice block mode, when the historical device running parameter is not within the preset historical device running parameter range, the number of times that the ice crushing time in the historical device running parameter is greater than the maximum ice crushing time corresponding to the preset historical device running parameter range can be obtained as the ice crushing time deviation number, which reflects the cumulative frequency of the ice crushing time exceeding the normal range and is helpful to evaluate the stability of the device running state. Figure 12

[0092] In the present implementation manner, the compressor power adjustment weight and the ice crushing time deviation adjustment weight corresponding to the ice crushing time deviation number can be determined through a preset empirical value table, so that different adjustment weights correspond to different deviation numbers, so as to more finely reflect the influence degree of the ice crushing time deviation on the compressor power adjustment.​​

[0093] In the implementation, the sum of the product of the compressor power adjustment amplitude and the compressor power adjustment weight, the product of the ice crushing time deviation amplitude and the ice crushing time deviation adjustment weight can be further determined as the corrected compressor power adjustment amplitude, and the contributions of the original power adjustment and the ice crushing time deviation are comprehensively considered, a more reasonable correction amplitude is obtained by weighted summation, and the adjustment amount is ensured to consider the basic power change and the historical deviation.

[0094] For example, if the ice crushing time exceeds the maximum ice crushing time multiple times during the ice maker operation, it indicates that the device may have efficiency decline or load abnormality. By calculating the corrected compressor power adjustment amplitude, the compressor power can be more accurately adjusted to adapt to the actual operation demand.

[0095] S132, the power corresponding to the compressor power adjustment amplitude is corrected to obtain the adjusted compressor power in the adjusted device operation parameter corresponding to the historical device operation parameter.

[0096] In the implementation, the power corresponding to the compressor power adjustment amplitude can be corrected to obtain the adjusted compressor power in the adjusted device operation parameter corresponding to the historical device operation parameter, so as to ensure that the power change matches the historical operation data, and the pertinence and effectiveness of parameter adjustment can be improved.

[0097] In the implementation, the ice maker can be controlled to operate according to the adjusted device operation parameter.

[0098] The above-mentioned implementation has the beneficial effects that when the historical device operation parameter is not within the preset historical device operation parameter range in the ice block mode, the number of times that the ice crushing time in the historical device operation parameter is greater than the maximum ice crushing time corresponding to the preset historical device operation parameter range is obtained as the ice crushing time deviation number, the compressor power adjustment weight and the ice crushing time deviation adjustment weight corresponding to the ice crushing time deviation number are obtained, then the sum of the product of the compressor power adjustment amplitude and the compressor power adjustment weight, the product of the ice crushing time deviation amplitude and the ice crushing time deviation adjustment weight is calculated as the corrected compressor power adjustment amplitude, and the adjusted compressor power is obtained by increasing the compressor power based on this, and the ice maker is controlled to operate, so that the adjusted compressor power is more suitable for the accumulation of the ice crushing time deviation in the actual operation, and the precision of the operation parameter adjustment in the ice block mode is improved.

[0099] The above-mentioned implementation mode also has the beneficial effects that when the historical equipment operation parameter is not within the preset historical equipment operation parameter range, by obtaining the ice crushing time deviation frequency and the corresponding weight, adding the product of the compressor power adjustment amplitude and the corresponding weight and the product of the ice crushing time deviation amplitude and the corresponding weight, the number of times of ice crushing time deviation and the original adjustment amplitude can be comprehensively considered, the problem of improper power adjustment is reduced, and stable operation of the ice maker in the ice block mode is ensured; the historical equipment operation parameter information can be fully mined, the limitation of single parameter adjustment is avoided, the adjustment of the compressor power in the adjustment of the equipment operation parameter is more in line with the actual state, and the rationality of power consumption control is improved.

[0100] In some implementations, the above-mentioned method further includes S210 to S220, which are specifically described as follows.

[0101] S210, obtaining compressor basic operation power and ice crushing basic operation power corresponding to the ice block mode, the ice slush large particle size mode and the ice slush small particle size mode respectively.

[0102] In this implementation, compressor basic operation power and ice crushing basic operation power corresponding to the ice block mode, the ice slush large particle size mode and the ice slush small particle size mode can be obtained, which can reflect the minimum power level required for the compressor system and the ice crushing system to maintain basic operation in different ice making modes.

[0103] For example, in the ice maker control process, the compressor basic operation power can ensure that the refrigeration system can maintain basic refrigeration cycle, and the ice crushing basic operation power can ensure that the ice crushing device can operate normally. By obtaining these basic operation powers in advance, a reference benchmark can be provided for subsequent power adjustment.

[0104] S210, in the ice block mode, the ice slush large particle size mode or the ice slush small particle size mode, when the adjusted compressor power is less than the compressor basic operation power, the adjusted compressor power is adjusted to the compressor basic operation power. In the ice block mode, the ice slush large particle size mode or the ice slush small particle size mode, when the adjusted ice crushing power is less than the ice crushing basic operation power, the adjusted ice crushing power is adjusted to the ice crushing basic operation power.

[0105] In this implementation, in the ice block mode, the ice slush large particle size mode or the ice slush small particle size mode, when the adjusted compressor power is less than the compressor basic operation power, the adjusted compressor power can be adjusted to the compressor basic operation power, which can ensure that the compressor system can obtain sufficient operation power in any power adjustment state.

[0106] 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.

[0107] 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.

[0108] 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.

[0109] 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.

[0110] 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.

[0111] In some implementations, the above method also includes S230 to S240, which will be described in detail below.

[0112] 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.

[0113] 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.

[0114] 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.

[0115] 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.

[0116] 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.

[0117] 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.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] 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.

[0122] In some implementations, the above method also includes S310 to S320, which are described in detail below.

[0123] 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.

[0124] 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.

[0125] For example, the historical equipment runtime is the average time for the ice maker to run according to the historical equipment operating parameters.

[0126] 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.

[0127] 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.

[0128] 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.

[0129] 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.

[0130] 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.

[0131] 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.

[0132] In this implementation, the ice maker can be controlled to optimize operating parameters according to the duration of ice production.

[0133] 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.

[0134] 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.

[0135] 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.

[0136] 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.

[0137] 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.

[0138] 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.

[0139] 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.

[0140] 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.

[0141] 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.

[0142] 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.

[0143] 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.

[0144] 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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