Composite high-efficiency refrigeration integrated system, method and application

Abstract

The application provides a composite high-efficiency refrigeration integrated system, method and application, comprising: a temperature simulation module, which is used for acquiring ice maker temperature distribution trends and heat exchange characteristics of the ice maker, and constructing a temperature simulation space of the ice maker according to the ice maker temperature distribution trends and the heat exchange characteristics; a model construction module, which is used for correlatively analyzing the temperature simulation space with air-cooled mode and water-cooled mode of the ice maker respectively, obtaining target correlation characteristics, and constructing a refrigeration integrated model according to the target correlation characteristics; a collaborative refrigeration strategy generation module, which is used for collecting real-time temperature data of the ice maker, and analyzing the real-time temperature data according to the refrigeration integrated model to generate a collaborative refrigeration strategy; and a refrigeration module, which is used for refrigeration control of the ice maker based on the collaborative refrigeration strategy. More accurate temperature control is realized, which helps to realize intelligent refrigeration control, adapt to different working scenes and changes, prolong the service life of the ice maker, and reduce energy consumption.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of device control, in particular to a composite high-efficiency refrigeration integrated system, method and application. BACKGROUND

[0002] At present, in modern society, refrigeration technology is widely used in various fields, such as industrial production, commercial refrigeration, household air conditioning, etc.

[0003] However, the traditional refrigeration system has the problems of low efficiency and high energy consumption, which cannot meet the increasing demand for refrigeration and the requirements for energy saving and environmental protection, and the refrigeration mode is relatively single, which has limitations. The single refrigeration mode has limitations, and the effect is not good in some complex environments or specific application scenarios, which greatly reduces the refrigeration effect.

[0004] Therefore, in order to overcome the above defects, the present application provides a composite high-efficiency refrigeration integrated system, method and application. SUMMARY

[0005] The present application provides a composite high-efficiency refrigeration integrated system, method and application, which is used to effectively realize the acquisition of target correlation characteristics of air-cooled mode and water-cooled mode of the ice maker by constructing a temperature simulation space, thereby constructing a refrigeration integrated model, and then realizing the determination of a collaborative refrigeration strategy through the refrigeration integrated model, thereby effectively integrating the air-cooled mode and the water-cooled mode, achieving the best refrigeration effect, realizing more accurate temperature control, helping to realize intelligent refrigeration control, adapting to different working scenes and changes, prolonging the service life of the ice maker, and reducing energy consumption.

[0006] The present application provides a composite high-efficiency refrigeration integrated system, comprising:

[0007] A temperature simulation module is used to acquire the temperature distribution situation of the ice maker and the heat exchange characteristics of the ice maker, and to construct a temperature simulation space of the ice maker according to the temperature distribution situation of the ice maker and the heat exchange characteristics.

[0008] A model construction module is used to perform correlation analysis on the temperature simulation space and the air-cooled mode and the water-cooled mode of the ice maker respectively, to obtain target correlation characteristics, and to construct a refrigeration integrated model according to the target correlation characteristics.

[0009] A collaborative refrigeration strategy generation module is used to collect real-time temperature data of the ice maker, and to analyze the real-time temperature data according to the refrigeration integrated model to generate a collaborative refrigeration strategy.

[0010] A refrigeration module is used to perform refrigeration control on the ice maker based on the collaborative refrigeration strategy.

[0011] Preferably, a composite high-efficiency refrigeration integrated system, the temperature simulation module comprises:

[0012] a temperature distribution state acquisition unit, configured to acquire a temperature distribution state of the ice maker;

[0013] a heat exchange characteristic determination unit, configured to:

[0014] acquire an external environment parameter, and determine a heat dissipation influence degree of the ice maker according to the external environment parameter, and determine a heat exchange characteristic of the ice maker according to the heat dissipation influence degree of the ice maker;

[0015] a temperature simulation element construction unit, configured to

[0016] acquire structure data of the ice maker, and construct a simulation space of the ice maker according to the structure data, and acquire a functional interval of the ice maker;

[0017] divide and annotate the simulation space according to the functional interval of the ice maker, to obtain a plurality of subspaces of the simulation space, and perform temperature simulation on the plurality of subspaces according to the temperature distribution state and the heat exchange characteristic;

[0018] determine a temperature simulation space of the ice maker according to a temperature simulation result.

[0019] Preferably, a composite high-efficiency refrigeration integrated system, a temperature distribution state acquisition unit, comprising:

[0020] a position distribution point determination subunit, configured to acquire a position distribution point of a temperature sensor of the ice maker, and construct a temperature data collection node according to the position distribution point, and collect temperature data of each position according to the temperature data node;

[0021] a data division subunit, configured to acquire a working phase of the ice maker, and divide the temperature data of the temperature data node in real time according to the working phase, to obtain a sub-temperature data set of each working phase;

[0022] a temperature partial state determination subunit, configured to analyze the sub-temperature data set of each working phase, determine a temperature change characteristic of each working phase, and determine the temperature distribution state of the ice maker according to the position distribution point, the temperature change characteristic of each working phase corresponding to each position distribution point.

[0023] Preferably, a composite high-efficiency refrigeration integrated system, a model construction module, comprising:

[0024] a functional attribute determination unit, configured to acquire a functional attribute of the ice maker, and read a temperature simulation space;

[0025] a reference temperature data range determination unit, configured to determine a working phase of the ice maker according to the functional attribute of the ice maker, and determine a reference temperature data range of each working phase according to the temperature simulation space;

[0026] The correlation analysis unit is configured to obtain a preset temperature threshold, and perform correlation analysis on the air-cooled mode and the water-cooled mode of the ice maker according to the preset temperature threshold and a reference temperature data range, to obtain a target correlation feature.

[0027] The refrigeration integration model construction unit is configured to construct a refrigeration integration model according to the target correlation feature.

[0028] Preferably, the composite high-efficiency refrigeration integration system comprises a correlation analysis unit, which comprises:

[0029] The mode determination subunit is configured to perform correlation analysis on the air-cooled mode and the water-cooled mode of the ice maker according to the preset temperature threshold and the reference temperature data range, and the specific process is as follows:

[0030] Comparing the real-time temperature at each working stage with the preset temperature threshold;

[0031] If the real-time temperature at each working stage is less than or equal to the preset temperature threshold;

[0032] Obtaining first real-time temperature data of each working stage in the air-cooled mode, and comparing the first real-time temperature data with the corresponding reference temperature data range to determine a first coincidence degree of the first real-time temperature data with the corresponding reference temperature data range;

[0033] Obtaining second real-time temperature data of each working stage in the water-cooled mode, and comparing the second real-time temperature data with the corresponding reference temperature data range to determine a second coincidence degree of the second real-time temperature data with the corresponding reference temperature data range;

[0034] Performing a first comparison between the first coincidence degree and the second coincidence degree;

[0035] When the first coincidence degree is less than the second coincidence degree in the first comparison result, the water-cooled mode is selected at the corresponding working stage;

[0036] When the first coincidence degree is greater than the second coincidence degree in the first comparison result, the air-cooled mode is selected at the corresponding working stage;

[0037] When the first coincidence degree is equal to the second coincidence degree in the first comparison result, when the same temperature is reached in the same time period, a first energy consumption of the water-cooled mode and a second energy consumption of the air-cooled mode are determined, and a second comparison between the first energy consumption and the second energy consumption is performed;

[0038] When the second comparison result is that the first energy consumption is less than the second energy consumption, the water cooling mode is selected in the corresponding working phase; when the second comparison result is that the first energy consumption is equal to the second energy consumption, the water cooling mode or the air cooling mode is selected in the corresponding working phase; when the second comparison result is that the first energy consumption is greater than the second energy consumption, the air cooling mode is selected in the corresponding working phase.

[0039] If the real-time temperature at each working phase is greater than the preset temperature threshold, the air cooling mode and the water cooling mode are started at the same time until the temperature drops to the reference temperature data range.

[0040] Preferably, a composite high-efficiency refrigeration integrated system, a refrigeration integrated model construction unit, comprises:

[0041] A model framework calling subunit is configured to call a model framework in a preset model library;

[0042] A training subunit is configured to iteratively train the model framework based on target associated features and read a loss value of each iteration training;

[0043] A model construction subunit is configured to construct a refrigeration integrated model according to a training result when the loss value of the iteration training reaches a preset loss threshold.

[0044] Preferably, a composite high-efficiency refrigeration integrated system, a cooperative refrigeration strategy generation module, comprises:

[0045] A temperature data acquisition unit is configured to:

[0046] Based on the management terminal, a temperature acquisition requirement is obtained and analyzed to obtain a time interval for temperature acquisition of the ice maker;

[0047] Based on the time interval, a preset temperature sensor is configured with parameters, and based on the parameter configuration result, temperature data in the ice maker is periodically acquired to obtain real-time temperature data of the ice maker;

[0048] An analysis unit is configured to input the real-time temperature data of the ice maker into a refrigeration integrated model for analysis, and determine a target refrigeration mode under each acquisition period based on the analysis result;

[0049] A strategy determination unit is configured to:

[0050] Extract a timestamp of each acquisition period, and based on the timestamp, obtain a switching time point of the target refrigeration mode between adjacent acquisition periods;

[0051] Associate the switching time point with the target refrigeration mode under each acquisition period, and generate a dynamic cooperative refrigeration strategy based on the association result.

[0052] Preferably, a composite high-efficiency refrigeration integrated system, the refrigeration module comprises:

[0053] The policy calling unit is used for obtaining the obtained collaborative refrigeration strategy and performing refrigeration control on the ice maker based on the collaborative refrigeration strategy.

[0054] The verification unit is used for performing temperature re-inspection on the ice maker based on the refrigeration control result, and obtaining the refrigeration control effect of the ice maker based on the collaborative refrigeration strategy based on the temperature re-inspection result.

[0055] The recording unit is used for extracting the effective time of the collaborative refrigeration strategy when the refrigeration control effect meets the preset requirement, recording the effective time and the collaborative refrigeration strategy in a preset report, obtaining a refrigeration control log, and archiving the refrigeration control log.

[0056] The application provides a composite high-efficiency refrigeration integrated method, comprising:

[0057] Step 1: obtaining the temperature distribution trend of the ice maker and the heat exchange characteristics of the ice maker, and constructing a temperature simulation element of the ice maker according to the temperature distribution trend of the ice maker and the heat exchange characteristics;

[0058] Step 2: correlatively analyzing the temperature simulation element with the air-cooled mode and the water-cooled mode of the ice maker respectively, obtaining target correlation characteristics, and constructing a refrigeration integrated model according to the target correlation characteristics;

[0059] Step 3: collecting real-time temperature data of the ice maker, and analyzing the real-time temperature data according to the refrigeration integrated model to generate a collaborative refrigeration strategy;

[0060] Step 4: performing refrigeration control on the ice maker based on the collaborative refrigeration strategy.

[0061] The application provides an ice maker comprising the composite high-efficiency refrigeration integrated system.

[0062] Compared with the prior art, the application has the following beneficial effects:

[0063] By constructing a temperature simulation space, the target correlation characteristics of the air-cooled mode and the water-cooled mode of the ice maker are effectively obtained, so as to construct a refrigeration integrated model, and then the collaborative refrigeration strategy is determined through the refrigeration integrated model, so as to effectively integrate the air-cooled mode and the water-cooled mode, so as to achieve the best refrigeration effect, realize more accurate temperature control, help to realize intelligent refrigeration control, adapt to different working scenes and changes, prolong the service life of the ice maker, and reduce energy consumption.

[0064] Other features and advantages of the present application will be set forth in the description that follows, and in part will be apparent from the description, or can be learned by practice of the application. The purposes and other advantages of the present application will be realized and attained by the structure particularly pointed out in the written description and claims hereof.

[0065] The technical solutions of the present application are described in further detail below with the aid of the accompanying drawings and examples. BRIEF DESCRIPTION OF DRAWINGS

[0066] The accompanying drawings are included to provide a further understanding of the present application and are incorporated in and constitute a part of the specification, illustrate embodiments of the present application and are used to explain the present application, but do not limit the present application. In the drawings:

[0067] Figure 1 is a structural diagram of a composite high-efficiency refrigeration integrated system in an embodiment of the present application;

[0068] Figure 2 is a structural diagram of a model construction module in a composite high-efficiency refrigeration integrated system in an embodiment of the present application;

[0069] Figure 3 is a flowchart of a composite high-efficiency refrigeration integrated method in an embodiment of the present application. DETAILED DESCRIPTION

[0070] The preferred embodiments of the present application are described below with reference to the accompanying drawings, and it should be understood that the preferred embodiments described herein are only used to explain and illustrate the present application, and do not limit the present application.

[0071] Embodiment 1:

[0072] The present embodiment provides a composite high-efficiency refrigeration integrated system, as shown in Figure 1 , comprising:

[0073] a temperature simulation module for obtaining an ice maker temperature distribution situation and heat exchange characteristics of the ice maker, and constructing a temperature simulation space of the ice maker according to the ice maker temperature distribution situation and the heat exchange characteristics;

[0074] a model construction module for correlatively analyzing the temperature simulation space with a wind-cooled mode and a water-cooled mode of the ice maker respectively, obtaining target correlation characteristics, and constructing a refrigeration integrated model according to the target correlation characteristics;

[0075] a collaborative refrigeration strategy generation module for collecting real-time temperature data of the ice maker, and analyzing the real-time temperature data according to the refrigeration integrated model to generate a collaborative refrigeration strategy;

[0076] a refrigeration module for performing refrigeration control on the ice maker based on the collaborative refrigeration strategy.

[0077] In this embodiment, the temperature distribution state can be the state of the temperature in different positions in the ice maker.

[0078] In this embodiment, the heat exchange feature can be a feature related to heat transfer and exchange between the ice maker and the external environment, including: the efficiency of heat exchange, the temperature change law during heat exchange, etc.

[0079] In this embodiment, the temperature simulation space can be a virtual temperature simulation environment created by understanding the internal temperature of the ice maker and the heat exchange feature, which is conducive to better analysis and understanding of the working state of the ice maker.

[0080] In this embodiment, the target association feature can be the relationship between the air-cooled mode and the water-cooled mode of the ice maker and the temperature simulation space, that is, the conditions for using the air-cooled mode and the water-cooled mode under different temperature states.

[0081] In this embodiment, the collaborative refrigeration strategy can be a scheme for coordinated control of the air-cooled mode and the water-cooled mode.

[0082] The working principle and beneficial effects of the above technical solutions are: by constructing the temperature simulation space, the target association feature of the air-cooled mode and the water-cooled mode of the ice maker is effectively obtained, thereby constructing the refrigeration integrated model, and then determining the collaborative refrigeration strategy through the refrigeration integrated model, thereby effectively integrating the air-cooled mode and the water-cooled mode, achieving the best refrigeration effect, realizing more accurate temperature control, helping to realize intelligent refrigeration control, adapting to different working scenarios and changes, prolonging the service life of the ice maker, and reducing energy consumption.

[0083] Embodiment 2:

[0084] Based on embodiment 1, the present embodiment provides a composite high-efficiency refrigeration integrated system, a temperature simulation module, comprising:

[0085] A temperature distribution state acquisition unit is configured to acquire the temperature distribution state of the ice maker.

[0086] A heat exchange feature determination unit is configured to:

[0087] Acquire external environment parameters and determine the heat dissipation influence degree of the ice maker according to the external environment parameters, and simultaneously determine the heat dissipation influence degree of the ice maker according to the heat dissipation influence degree of the ice maker.

[0088] A temperature simulation element construction unit is configured to

[0089] Acquire the structure data of the ice maker and construct the simulation space of the ice maker according to the structure data, and simultaneously acquire the functional interval of the ice maker.

[0090] According to the function interval of the ice maker, the simulation space is divided to obtain a plurality of subspaces of the simulation space, and meanwhile, the plurality of subspaces are temperature simulated according to the temperature distribution trend and the heat exchange characteristics.

[0091] The temperature simulation space of the ice maker is determined according to the temperature simulation result.

[0092] In this embodiment, the external environment parameter refers to the temperature and wind speed of the current external environment and the like.

[0093] In this embodiment, the heat dissipation influence degree is related to the external environment parameter, for example, the higher the external environment temperature, the greater the heat dissipation influence degree on the ice maker.

[0094] In this embodiment, the structure data refers to the width of the ice maker and the specific form of the internal structure and the like.

[0095] In this embodiment, the function interval refers to the specific execution function corresponding to different regions of the ice maker.

[0096] In this embodiment, the subspace refers to the result obtained by dividing the simulation space of the ice maker according to the function interval.

[0097] The working principle and beneficial effects of the above technical solution are as follows: the temperature distribution trend of the ice maker is obtained, the heat exchange characteristics of the ice maker are determined according to the external environment parameter, meanwhile, the simulation space of the ice maker is constructed according to the structure data of the ice maker, so as to realize the space division of the constructed simulation space according to the function interval of the ice maker, and realize the temperature simulation of each subspace after the space division according to the obtained temperature distribution trend and heat exchange characteristics, finally realize the effective determination of the temperature simulation space of the ice maker, provide convenience and protection for determining the cooperative refrigeration strategy, so as to achieve effective temperature control.

[0098] Embodiment 3:

[0099] Based on the embodiment 1, the embodiment provides a composite high-efficiency refrigeration integrated system, and a temperature distribution trend acquisition unit, comprising:

[0100] A position distribution point determination subunit is configured to acquire the position distribution points of the temperature sensors of the ice maker, construct temperature data collection nodes according to the position distribution points, and collect temperature data of each position according to the temperature data nodes.

[0101] A data division subunit is configured to acquire the working stages of the ice maker, and divide the temperature data of the temperature data nodes in real time according to the working stages to obtain a sub-temperature data set of each working stage.

[0102] The temperature partial situation determination subunit is configured to analyze each sub-temperature data set of each working stage, determine temperature change characteristics of each working stage, and determine an ice maker temperature distribution situation according to the position distribution points and the temperature change characteristics of each position distribution point corresponding to each working stage.

[0103] In this embodiment, the temperature data collection node refers to a data point for collecting and aggregating temperature data collected by the temperature sensor.

[0104] In this embodiment, the working stage is known in advance, and is a step involved in the ice making process of the ice maker, for example, a temperature reduction stage and a temperature stabilization stage.

[0105] In this embodiment, the sub-temperature data set refers to specific temperature data information corresponding to each working stage after the temperature data of the temperature data node is divided according to the working stage.

[0106] In this embodiment, the temperature change characteristics refer to the value change trend of the temperature in each working stage.

[0107] The working principle and beneficial effects of the above technical solution are as follows: the temperature data collection node is accurately and effectively constructed according to the position distribution points of the temperature sensor, so that the temperature data of each position is accurately and effectively collected and aggregated by the temperature data collection node; secondly, the temperature data of the temperature data node is divided according to the working stage of the ice maker, so that the sub-temperature data set of each working stage is accurately and effectively determined; finally, the temperature change characteristics of each working stage are obtained by analyzing the sub-temperature data set of each working stage, and the ice maker temperature distribution situation is effectively determined according to the position distribution points and each position distribution point, which provides a guarantee for accurate temperature control and helps to realize intelligent refrigeration control.

[0108] Embodiment 4:

[0109] On the basis of embodiment 1, this embodiment provides a composite high-efficiency refrigeration integrated system, as shown in Figure 2 The model construction module comprises:

[0110] The functional attribute determination unit is configured to obtain the functional attribute of the ice maker and read the temperature simulation space.

[0111] The reference temperature data range determination unit is configured to determine the working stage of the ice maker according to the functional attribute of the ice maker, and determine the reference temperature data range of each working stage according to the temperature simulation space.

[0112] The correlation analysis unit is configured to obtain a preset temperature threshold, and perform correlation analysis on the air-cooled mode and the water-cooled mode of the ice maker according to the preset temperature threshold and a reference temperature data range, and obtain a target correlation feature.

[0113] The refrigeration integration model construction unit is configured to construct a refrigeration integration model according to the target correlation feature.

[0114] In this embodiment, the functional attribute refers to the function type corresponding to the ice maker during ice making and the specific conditions of each function.

[0115] In this embodiment, the reference temperature data range refers to the temperature value range corresponding to normal operation in each working stage.

[0116] In this embodiment, the preset temperature threshold is set in advance.

[0117] The working principle and beneficial effects of the above technical solution are as follows: the reference temperature data range of each working stage is determined according to the functional attribute of the ice maker, then the air-cooled mode and the water-cooled mode of the ice maker are correlated according to the preset temperature threshold and the reference temperature data range, the target correlation feature is locked, which provides convenience for constructing the refrigeration integration model, finally, the refrigeration integration model is accurately and effectively constructed according to the target correlation feature, which facilitates the determination of the collaborative refrigeration strategy through the refrigeration integration model, so as to achieve the best refrigeration effect and realize more accurate temperature control.

[0118] Embodiment 5:

[0119] Based on embodiment 4, the present embodiment provides a composite high-efficiency refrigeration integration system, and the correlation analysis unit comprises:

[0120] The mode determination subunit is configured to perform correlation analysis on the air-cooled mode and the water-cooled mode of the ice maker according to the preset temperature threshold and the reference temperature data range, and the specific process is as follows:

[0121] Compare the real-time temperature at each working stage with the preset temperature threshold;

[0122] If the real-time temperature at each working stage is less than or equal to the preset temperature threshold;

[0123] Obtain the first real-time temperature data of each working stage in the air-cooled mode, and compare the first real-time temperature data with the corresponding reference temperature data range to determine the first coincidence degree of the first real-time temperature data and the corresponding reference temperature data range;

[0124] acquire second real-time temperature data of each working stage in the water cooling mode, and compare the second real-time temperature data with the corresponding reference temperature data range to determine a second coincidence degree of the second real-time temperature data with the corresponding reference temperature data range;

[0125] perform a first comparison between the first coincidence degree and the second coincidence degree;

[0126] when the first coincidence degree is less than the second coincidence degree in the first comparison result, the water cooling mode is selected in the corresponding working stage;

[0127] when the first coincidence degree is greater than the second coincidence degree in the first comparison result, the air cooling mode is selected in the corresponding working stage;

[0128] when the first coincidence degree is equal to the second coincidence degree in the first comparison result, the first energy consumption of the water cooling mode and the second energy consumption of the air cooling mode are determined when the same temperature drop is reached in the same time period, and a second comparison between the first energy consumption and the second energy consumption is performed;

[0129] when the first energy consumption is less than the second energy consumption in the second comparison result, the water cooling mode is selected in the corresponding working stage; when the first energy consumption is equal to the second energy consumption in the second comparison result, the water cooling mode or the air cooling mode is selected in the corresponding working stage; when the first energy consumption is greater than the second energy consumption in the second comparison result, the air cooling mode is selected in the corresponding working stage;

[0130] if the real-time temperature at each working stage is greater than the preset temperature threshold, the air cooling mode and the water cooling mode are started at the same time until the temperature drops to the reference temperature data range.

[0131] In this embodiment, the first real-time temperature data refers to the temperature provided by the ice maker in the air cooling mode and in each working stage of the ice maker in the air cooling mode.

[0132] In this embodiment, the first coincidence degree refers to the matching condition of the first real-time temperature data with the reference temperature data range, i.e., the degree to which the first real-time temperature data meets the reference temperature data range.

[0133] In this embodiment, the second real-time temperature data refers to the working temperature provided by the ice maker in the water cooling mode and in each working stage.

[0134] In this embodiment, the second coincidence degree refers to the matching condition of the second real-time temperature data with the reference temperature data range, i.e., the degree to which the second real-time temperature data meets the corresponding reference temperature data range.

[0135] In this embodiment, the same temperature drop to the same temperature drop temperature in the same time period means that the ice maker is in the same environment, from a certain temperature to another temperature, for example, the same external influencing factors, the ice maker from 20 degrees Celsius to 5 degrees Celsius.

[0136] In this embodiment, the first energy consumption of the water cooling mode and the second energy consumption of the air cooling mode refer to the corresponding energy consumption when the ice maker is in the same environment and performs the same cooling operation using the air cooling mode and the water cooling mode, respectively.

[0137] The working principle and beneficial effects of the above technical solution are: by comparing the real-time temperature of each working stage with the preset temperature threshold, comparing the first real-time temperature data and the reference temperature data range of each working stage of the ice maker in the air cooling mode and the second real-time temperature data and the reference temperature data range of each working stage of the ice maker in the water cooling mode when the real-time temperature is less than or equal to the preset temperature threshold, and according to the comparison result, the water cooling mode or the air cooling mode is selected for the ice maker in different stages to accurately and effectively determine, at the same time, if both modes are available, the energy consumption of both modes in the same situation is determined, the mode is determined according to the energy consumption, and finally, when the real-time temperature in each working stage is greater than the preset temperature threshold, the air cooling mode and the water cooling mode are started at the same time to reduce the temperature, which improves the accurate control of the temperature, adapts to different working scenarios and changes, prolongs the service life of the ice maker, and reduces the energy consumption.

[0138] Embodiment 6:

[0139] Based on embodiment 4, the composite high-efficiency refrigeration integrated system provided in this embodiment includes a refrigeration integrated model construction unit, which includes:

[0140] The model framework calling subunit is used to call the model framework in the preset model library.

[0141] The training subunit is used to iteratively train the model framework based on the target association features and read the loss value of each iteration training.

[0142] The model construction subunit is used to construct the refrigeration integrated model according to the training result when the loss value of the iteration training reaches the preset loss threshold.

[0143] In this embodiment, the preset loss threshold is set in advance as a measurement standard for whether the refrigeration integrated model is reached.

[0144] The working principle and beneficial effects of the above technical solution are: through iterative training of the called model framework based on target correlation characteristics, the constructed refrigeration integrated model can accurately reflect the relationship between various factors related to refrigeration, and by determining the loss value of iterative training and comparing it with the preset loss threshold, the accuracy of the obtained refrigeration integrated model in operation is effectively guaranteed.

[0145] Embodiment 7:

[0146] Based on embodiment 1, the embodiment provides a composite high-efficiency refrigeration integrated system, and a cooperative refrigeration strategy generation module comprises:

[0147] A temperature data acquisition unit is configured to:

[0148] Based on the management terminal, the temperature acquisition requirement is obtained and analyzed to obtain the time interval for temperature acquisition of the ice maker;

[0149] Based on the time interval, the preset temperature sensor is configured with parameters, and based on the parameter configuration result, the temperature data in the ice maker is periodically collected to obtain real-time temperature data of the ice maker;

[0150] An analysis unit is configured to input the real-time temperature data of the ice maker into the refrigeration integrated model for analysis, and determine the target refrigeration mode under each collection period based on the analysis result;

[0151] A strategy determination unit is configured to:

[0152] Extract the timestamp of each collection period, and based on the timestamp, obtain the switching time point of the target refrigeration mode between adjacent collection periods;

[0153] Associate the switching time point with the target refrigeration mode under each collection period, and generate a dynamic cooperative refrigeration strategy based on the association result.

[0154] In this embodiment, the temperature acquisition requirement is the temperature acquisition target of the user entered based on the management terminal, including the time interval for temperature acquisition of the ice maker.

[0155] In this embodiment, the target refrigeration mode refers to one or a combination of the water cooling mode and the air cooling mode.

[0156] In this embodiment, based on the timestamp, the switching time point of the target refrigeration mode between adjacent collection periods can be the timestamp of each collection period, and the switching time point of the target refrigeration mode of the ice maker is determined by the timestamp of the adjacent collection period and the real-time temperature data collected in the adjacent collection period, that is, the specific time of the change of the working mode of the ice maker.

[0157] In this embodiment, the switching time point is associated with the target refrigeration mode under each acquisition cycle, and the dynamic cooperative refrigeration strategy is generated based on the association result, which means that the switching time point of the ice maker to the working mode and the target refrigeration mode in the corresponding period are bound, so as to effectively determine the change and application of the refrigeration mode under different conditions, that is, the final cooperative refrigeration strategy.

[0158] The working principle and beneficial effects of the above technical solution are that the dynamic cooperative refrigeration strategy can adjust the refrigeration mode according to the real-time temperature condition in the ice maker, and the appropriate refrigeration mode can make the ice maker work at the best refrigeration power in different temperature stages, thereby accelerating the ice making speed and improving the ice making efficiency. Through accurate acquisition of the temperature and reasonable adjustment of the refrigeration mode, the temperature environment in the ice maker can be better controlled, the stability of the ice making process is ensured, and the intelligence of the ice maker is improved.

[0159] Embodiment 8

[0160] Based on the embodiment 1, the embodiment provides a composite high-efficiency refrigeration integrated system, and the refrigeration module comprises:

[0161] The strategy calling unit is configured to obtain the cooperative refrigeration strategy, and perform refrigeration control on the ice maker based on the cooperative refrigeration strategy.

[0162] The verification unit is configured to perform temperature re-inspection on the ice maker based on the refrigeration control result, and obtain the refrigeration control effect of the cooperative refrigeration strategy on the ice maker based on the temperature re-inspection result.

[0163] The recording unit is configured to extract the effective time of the cooperative refrigeration strategy when the refrigeration control effect meets the preset requirement, record the effective time and the cooperative refrigeration strategy in a preset report, obtain a refrigeration control log, and archive the refrigeration control log.

[0164] In this embodiment, the preset requirement is set in advance.

[0165] In this embodiment, the preset report is used to record the effective time corresponding to the cooperative refrigeration strategy and the cooperative refrigeration strategy when the refrigeration control effect meets the preset requirement.

[0166] The working principle and beneficial effects of the above technical solution are that the temperature re-inspection on the ice maker effectively realizes the determination of the refrigeration control effect, so that the refrigeration control log is effectively generated when the refrigeration control effect meets the preset requirement, which is beneficial to provide important reference for technical personnel.

[0167] Embodiment 9

[0168] The embodiment provides a composite high-efficiency refrigeration integrated method, which comprises the following steps: Figure 3As shown, comprising:

[0169] Step 1: Obtain the ice maker temperature distribution situation and the heat exchange characteristics of the ice maker, and construct the temperature simulation element of the ice maker according to the ice maker temperature distribution situation and the heat exchange characteristics;

[0170] Step 2: The temperature simulation element is respectively associated with the air cooling mode and the water cooling mode of the ice maker, the target correlation characteristics are obtained, and the refrigeration integrated model is constructed according to the target correlation characteristics;

[0171] Step 3: Collect real-time temperature data of the ice maker, and analyze the real-time temperature data according to the refrigeration integrated model to generate a cooperative refrigeration strategy;

[0172] Step 4: Based on the cooperative refrigeration strategy, the ice maker is controlled.

[0173] The working principle and beneficial effects of the above technical scheme are: by constructing the temperature simulation space, the target correlation characteristics of the air cooling mode and the water cooling mode of the ice maker are effectively obtained, so as to construct the refrigeration integrated model, and then the cooperative refrigeration strategy is determined through the refrigeration integrated model, and then the effective integration of the air cooling mode and the water cooling mode is guaranteed, so as to achieve the best refrigeration effect, realize more accurate temperature control, help to realize intelligent refrigeration control, adapt to different working scenes and changes, prolong the service life of the ice maker, and reduce energy consumption.

[0174] Embodiment 10:

[0175] The embodiment provides an ice maker comprising a composite high-efficiency refrigeration integrated system as described in any one of embodiments 1-8.

[0176] Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application also intends to include these modifications and variations.

Claims

1. A combined high-efficiency refrigeration integrated system, characterized in that, The method comprises the following steps: A temperature simulation module is used to obtain the temperature distribution state of the ice maker and the heat exchange characteristics of the ice maker, and to construct a temperature simulation space of the ice maker according to the temperature distribution state and the heat exchange characteristics; A model construction module is used to perform correlation analysis on the temperature simulation space and the air-cooled mode and the water-cooled mode of the ice maker respectively, to obtain target correlation characteristics, and to construct a refrigeration integrated model according to the target correlation characteristics; A collaborative refrigeration strategy generation module is used to collect real-time temperature data of the ice maker, and to analyze the real-time temperature data according to the refrigeration integrated model to generate a collaborative refrigeration strategy; A refrigeration module is used to control the refrigeration of the ice maker based on the collaborative refrigeration strategy; The model construction module comprises: A functional attribute determination unit is used to obtain the functional attributes of the ice maker and to read the temperature simulation space; A reference temperature data range determination unit is used to determine the working stages of the ice maker according to the functional attributes of the ice maker, and to determine the reference temperature data range of each working stage according to the temperature simulation space; An association analysis unit is used to obtain a preset temperature threshold, and to perform correlation analysis on the air-cooled mode and the water-cooled mode of the ice maker according to the preset temperature threshold and the reference temperature data range to obtain target correlation characteristics; A refrigeration integrated model construction unit is used to construct a refrigeration integrated model according to the target correlation characteristics; The association analysis unit comprises: A mode determination subunit is used to perform correlation analysis on the air-cooled mode and the water-cooled mode of the ice maker according to the preset temperature threshold and the reference temperature data range, and the specific process is as follows: The real-time temperature at each working stage is compared with the preset temperature threshold; If the real-time temperature at each working stage is less than or equal to the preset temperature threshold; The first real-time temperature data of each working stage in the air-cooled mode is obtained, and the first real-time temperature data is compared with the corresponding reference temperature data range to determine the first coincidence degree of the first real-time temperature data and the corresponding reference temperature data range; The second real-time temperature data of each working stage in the water-cooled mode is obtained, and the second real-time temperature data is compared with the corresponding reference temperature data range to determine the second coincidence degree of the second real-time temperature data and the corresponding reference temperature data range; The first coincidence degree and the second coincidence degree are compared; When the first coincidence degree is less than the second coincidence degree in the first comparison result, the water-cooled mode is selected in the corresponding working stage; When the first coincidence degree is greater than the second coincidence degree in the first comparison result, the air-cooled mode is selected in the corresponding working stage; When the first coincidence degree is equal to the second coincidence degree in the first comparison result, the first energy consumption of the water-cooled mode and the second energy consumption of the air-cooled mode are determined when the same temperature is reached in the same time period, and the first energy consumption and the second energy consumption are compared; When the first energy consumption is less than the second energy consumption in the second comparison result, the water-cooled mode is selected in the corresponding working stage; when the first energy consumption is equal to the second energy consumption in the second comparison result, the water-cooled mode or the air-cooled mode is selected in the corresponding working stage; when the first energy consumption is greater than the second energy consumption in the second comparison result, the air-cooled mode is selected in the corresponding working stage. If the real-time temperature at each working stage is greater than the preset temperature threshold, the air cooling mode and the water cooling mode are started at the same time until the temperature drops to the reference temperature data range.

2. The combined high-efficiency refrigeration integrated system according to claim 1, wherein, The temperature simulation module comprises: The temperature distribution state acquisition unit is configured to acquire a temperature distribution state of the ice maker. The heat exchange characteristic determination unit is configured to: acquire external environment parameters and determine the heat dissipation influence degree of the ice maker according to the external environment parameters, and determine the heat exchange characteristic of the ice maker according to the heat dissipation influence degree of the ice maker; The temperature simulation element construction unit is configured to acquire structure data of the ice maker and construct a simulation space of the ice maker according to the structure data, and acquire a functional interval of the ice maker; divide and annotate the simulation space according to the functional interval of the ice maker to obtain a plurality of subspaces of the simulation space, and perform temperature simulation on the plurality of subspaces according to the temperature distribution state and the heat exchange characteristic; determine the temperature simulation space of the ice maker according to the temperature simulation result.

3. The combined high-efficiency refrigeration integrated system according to claim 2, wherein, The temperature distribution state acquisition unit comprises: The position distribution point determination subunit is configured to acquire position distribution points of temperature sensors of the ice maker, construct temperature data collection nodes according to the position distribution points, and collect temperature data of each position according to the temperature data nodes; The data division subunit is configured to acquire working stages of the ice maker, and divide the temperature data of the temperature data nodes in real time according to the working stages to obtain a sub-temperature data set of each working stage; The temperature partial state determination subunit is configured to analyze the sub-temperature data set of each working stage to determine the temperature change characteristic of each working stage, and determine the temperature distribution state of the ice maker according to the position distribution points, the temperature change characteristic of each position distribution point corresponding to each working stage.

4. The combined high-efficiency refrigeration integrated system according to claim 1, wherein, The refrigeration integrated model construction unit comprises: The model framework calling subunit is configured to call a model framework in a preset model library; The training subunit is configured to iteratively train the model framework based on target association characteristics, and read a loss value of each iteration training; The model construction subunit is configured to construct a refrigeration integrated model according to a training result when the loss value of the iteration training reaches a preset loss threshold.

5. The combined high-efficiency refrigeration integrated system according to claim 1, wherein, The collaborative refrigeration strategy generation module comprises: The temperature data acquisition unit is configured to: acquire temperature acquisition requirements based on a management terminal, analyze the temperature acquisition requirements to obtain a time interval for temperature acquisition of the ice maker, configure parameters of a preset temperature sensor based on the time interval, and periodically acquire temperature data in the ice maker based on the parameter configuration result to obtain real-time temperature data of the ice maker; The analysis unit is configured to input the real-time temperature data of the ice maker into the refrigeration integrated model for analysis, and determine a target refrigeration mode under each acquisition period based on an analysis result; The strategy determination unit is configured to: extract a timestamp of each acquisition period, and obtain a switching time point of the target refrigeration mode between adjacent acquisition periods based on the timestamp; associate the switching time point with the target refrigeration mode under each acquisition period, and generate a dynamic collaborative refrigeration strategy based on the association result. The refrigeration module comprises:

6. The combined high-efficiency refrigeration integrated system according to claim 1, wherein, The strategy calling unit is configured to acquire the obtained collaborative refrigeration strategy, and perform refrigeration control on the ice maker based on the collaborative refrigeration strategy. ​ The verification unit is configured to perform temperature re-inspection on the ice maker based on the refrigeration control result, and obtain a refrigeration control effect of the ice maker based on the cooperative refrigeration strategy according to the temperature re-inspection result. The recording unit is configured to extract an effective time of the cooperative refrigeration strategy when the refrigeration control effect meets the preset requirement, and record the effective time and the cooperative refrigeration strategy in a preset report to obtain a refrigeration control log, and archive the refrigeration control log.

7. A combined high-efficiency refrigeration integration method, characterized in that, The method comprises the following steps: Step 1: obtaining the temperature distribution state of the ice maker and the heat exchange characteristics of the ice maker, and constructing a temperature simulation element of the ice maker according to the temperature distribution state of the ice maker and the heat exchange characteristics of the ice maker; Step 2: correlatively analyzing the temperature simulation element with the air cooling mode and the water cooling mode of the ice maker respectively to obtain a target correlation characteristic, and constructing a refrigeration integrated model according to the target correlation characteristic; Step 3: collecting real-time temperature data of the ice maker, and analyzing the real-time temperature data according to the refrigeration integrated model to generate a cooperative refrigeration strategy; Step 4: performing refrigeration control on the ice maker based on the cooperative refrigeration strategy; Step 2 comprises the following steps: obtaining the functional attributes of the ice maker and reading a temperature simulation space; determining the working stages of the ice maker according to the functional attributes of the ice maker, and simultaneously determining the reference temperature data range of each working stage according to the temperature simulation space; obtaining a preset temperature threshold, and correlatively analyzing the air cooling mode and the water cooling mode of the ice maker according to the preset temperature threshold and the reference temperature data range to obtain a target correlation characteristic; constructing a refrigeration integrated model according to the target correlation characteristic; correlatively analyzing the air cooling mode and the water cooling mode of the ice maker according to the preset temperature threshold and the reference temperature data range, and the specific process is as follows: comparing the real-time temperature at each working stage with the preset temperature threshold; if the real-time temperature at each working stage is less than or equal to the preset temperature threshold; obtaining the first real-time temperature data of each working stage in the air cooling mode, and comparing the first real-time temperature data with the corresponding reference temperature data range to determine the first coincidence degree of the first real-time temperature data with the corresponding reference temperature data range; obtaining the second real-time temperature data of each working stage in the water cooling mode, and comparing the second real-time temperature data with the corresponding reference temperature data range to determine the second coincidence degree of the second real-time temperature data with the corresponding reference temperature data range; first comparing the first coincidence degree with the second coincidence degree; when the first coincidence degree is less than the second coincidence degree in the first comparison result, the water cooling mode is selected in the corresponding working stage; when the first coincidence degree is greater than the second coincidence degree in the first comparison result, the air cooling mode is selected in the corresponding working stage; when the first coincidence degree is equal to the second coincidence degree in the first comparison result, the first energy consumption of the water cooling mode and the second energy consumption of the air cooling mode are determined when the same temperature is reached in the same time period, and the first energy consumption is second compared with the second energy consumption. When the first energy consumption is less than the second energy consumption in the second comparison result, the water cooling mode is selected in the corresponding working stage; when the first energy consumption is equal to the second energy consumption in the second comparison result, the water cooling mode or the air cooling mode is selected in the corresponding working stage; when the first energy consumption is greater than the second energy consumption in the second comparison result, the air cooling mode is selected in the corresponding working stage; If the real-time temperature in each working stage is greater than the preset temperature threshold, the air cooling mode and the water cooling mode are started at the same time until the temperature decreases to the reference temperature data range.

8. An ice maker characterized by, The composite high-efficiency refrigeration integrated system is executed as claimed in any one of claims 1-6.

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