Combined type efficient refrigeration integrated system and method and application

Abstract

The invention provides a composite efficient refrigeration integration system and method and application, and the system comprises a temperature simulation module which is used for obtaining the temperature distribution situation of an ice maker and the heat exchange characteristics of the ice maker, and constructing a temperature simulation space of the ice maker according to the temperature distribution situation and the heat exchange characteristics of the ice maker; the model building module is used for carrying out correlation analysis on the temperature simulation space and the air cooling mode and the water cooling mode of the ice maker to obtain target correlation characteristics, and building a refrigeration integration model according to the target correlation characteristics; the collaborative refrigeration strategy generation module is used for collecting real-time temperature data of the ice maker, analyzing the real-time temperature data according to the refrigeration integration model and generating a collaborative refrigeration strategy; and the refrigeration module is used for performing refrigeration control on the ice maker based on the collaborative refrigeration strategy. More accurate temperature control is achieved, intelligent refrigeration control can be achieved, the ice maker adapts to different working scenes and changes, and the purposes of prolonging the service life of the ice maker and reducing energy consumption are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment control, and particularly relates to a composite high-efficiency refrigeration integration system, method and application. Background Art

[0002] Currently, in modern society, refrigeration technology has been widely applied in various fields, such as industrial production, commercial refrigeration, household air conditioners, etc.;

[0003] However, traditional refrigeration systems have problems of low efficiency and high energy consumption, and cannot meet the growing refrigeration demand and the requirements for energy conservation and environmental protection. Moreover, the refrigeration method is relatively single, and the single refrigeration method has limitations and poor effects in some complex environments or specific application scenarios, greatly reducing the refrigeration effect;

[0004] Therefore, in order to overcome the above defects, the present invention provides a composite high-efficiency refrigeration integration system, method and application. Summary of the Invention

[0005] The present invention provides a composite high-efficiency refrigeration integration system, method and application, which is used to effectively obtain the target correlation characteristics of the air-cooling mode and the water-cooling mode of the ice maker by constructing a temperature simulation space, thereby constructing a refrigeration integration model, and then determining a cooperative refrigeration strategy through the refrigeration integration model, and further ensuring the effective integration of the air-cooling mode and the water-cooling mode, so as to achieve the best refrigeration effect, realize more precise temperature control, help to realize intelligent refrigeration control, adapt to different working scenarios and changes, and achieve the purpose of extending the service life of the ice maker and reducing energy consumption.

[0006] The present invention provides a composite high-efficiency refrigeration integration system, including:

[0007] A temperature simulation module, configured to obtain the temperature distribution trend of the ice maker and the heat exchange characteristics of the ice maker, and construct a temperature simulation space of the ice maker according to the temperature distribution trend and the heat exchange characteristics of the ice maker;

[0008] A model construction module, configured to perform correlation analysis on the temperature simulation space with the air-cooling mode and the water-cooling mode of the ice maker respectively to obtain target correlation characteristics, and construct a refrigeration integration model according to the target correlation characteristics;

[0009] A cooperative refrigeration strategy generation module, configured to collect real-time temperature data of the ice maker, and analyze the real-time temperature data according to the refrigeration integration model to generate a cooperative refrigeration strategy;

[0010] A refrigeration module, configured to perform refrigeration control on the ice maker based on the cooperative refrigeration strategy.

[0011] Preferably, for a composite high-efficiency refrigeration integration system, the temperature simulation module includes:

[0012] A temperature distribution trend acquisition unit for acquiring the temperature distribution trend of an ice maker;

[0013] A heat exchange characteristic determination unit for:

[0014] Acquiring external environment parameters, determining the heat dissipation influence degree of the ice maker according to the external environment parameters, and at the same time, determining the heat exchange characteristics of the ice maker according to the heat dissipation influence degree of the ice maker;

[0015] A temperature simulation element construction unit for

[0016] Acquiring the structure data of the ice maker, constructing a simulation space of the ice maker according to the structure data, and at the same time, acquiring the functional intervals of the ice maker;

[0017] Dividing and annotating the simulation space according to the functional intervals of the ice maker to obtain multiple sub-spaces of the simulation space, and at the same time, performing temperature simulation on the multiple sub-spaces according to the temperature distribution trend and the heat exchange characteristics;

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

[0019] Preferably, a composite high-efficiency refrigeration integrated system, the temperature distribution trend acquisition unit includes:

[0020] A position distribution point determination sub-unit for acquiring the position distribution points of the temperature sensors of the ice maker, constructing temperature data collection nodes according to the position distribution points, and collecting temperature data at each position according to the temperature data nodes;

[0021] A data division sub-unit for acquiring the working stages of the ice maker and dividing the temperature data of the temperature data nodes in real time according to the working stages to obtain sub-temperature data sets for each working stage;

[0022] A temperature partial trend determination sub-unit for analyzing the sub-temperature data sets for each working stage, determining the temperature change characteristics of each working stage, and determining the temperature distribution trend of the ice maker according to the position distribution points and the temperature change characteristics corresponding to each position distribution point for each working stage.

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

[0024] A function attribute determination unit for acquiring the function attributes of the ice maker and reading the temperature simulation space;

[0025] A reference temperature data range determination unit for determining the working stages of the ice maker according to the function attributes of the ice maker, and at the same time, determining the reference temperature data ranges for each working stage according to the temperature simulation space;

[0026] An association analysis unit, configured to obtain a preset temperature threshold, and perform association analysis on the air-cooling mode and water-cooling mode of the ice maker according to the preset temperature threshold and the reference temperature data range, so as to obtain target association features;

[0027] A refrigeration integration model construction unit, configured to construct a refrigeration integration model according to the target association features.

[0028] Preferably, for a composite high-efficiency refrigeration integration system, the association analysis unit includes:

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

[0030] Compare 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] Obtain the first real-time temperature data at each working stage in the air-cooling mode, and compare the first real-time temperature data with the corresponding reference temperature data range to determine the first coincidence degree between the first real-time temperature data and the corresponding reference temperature data range;

[0033] Obtain the second real-time temperature data at 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 the second coincidence degree between the second real-time temperature data and the corresponding reference temperature data range;

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

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

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

[0037] When in the first comparison result, the first coincidence degree is equal to the second coincidence degree, when the temperature drops to the same temperature drop within the same time period, determine the first energy consumption of the water-cooling mode and the second energy consumption of the air-cooling mode, and perform a second comparison between the first energy consumption and the second energy consumption;

[0038] When in the second comparison result, the first energy consumption is less than the second energy consumption, the water cooling mode is selected in the corresponding working stage; when in the second comparison result, 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 stage; when in the second comparison result, the first energy consumption is greater than the second energy consumption, the air cooling mode is selected in the corresponding working stage;

[0039] 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 simultaneously until the temperature drops to the reference temperature data range.

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

[0041] A model framework retrieval subunit, configured to retrieve a model framework from a preset model library;

[0042] A training subunit, configured to perform iterative training on the model framework based on target correlation features, and read the loss value of each iterative training;

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

[0044] Preferably, a composite high-efficiency refrigeration integration system, a collaborative refrigeration strategy generation module, includes:

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

[0046] Obtain temperature acquisition requirements based on a management terminal, and analyze the temperature acquisition requirements to obtain the time interval for temperature acquisition of an ice maker;

[0047] Configure parameters of a preset temperature sensor based on the time interval, and perform periodic acquisition of the temperature data in the ice maker based on the parameter configuration result to obtain the real-time temperature data of the ice maker;

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

[0049] A strategy determination unit, configured to:

[0050] Extract the time stamp of each acquisition cycle, and obtain the switching time point of the target refrigeration mode between adjacent acquisition cycles based on the time stamp;

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

[0052] Preferably, a compound high-efficiency refrigeration integration system, the refrigeration module includes:

[0053] A strategy retrieval unit for obtaining the obtained collaborative refrigeration strategy and performing refrigeration control on the ice maker based on the collaborative refrigeration strategy;

[0054] An inspection unit for performing a temperature re-inspection on the ice maker based on the refrigeration control result and obtaining the refrigeration control effect of the collaborative refrigeration strategy on the ice maker based on the temperature re-inspection result;

[0055] A recording unit for extracting the effective time of the collaborative refrigeration strategy when the refrigeration control effect meets the preset requirements, recording the effective time and the collaborative refrigeration strategy in a preset report to obtain a refrigeration control log, and archiving the refrigeration control log.

[0056] The present invention provides a compound high-efficiency refrigeration integration method, including:

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

[0058] Step 2: Perform correlation analysis on the temperature simulation element with the air-cooling mode and the water-cooling mode of the ice maker respectively to obtain the target correlation characteristics, and construct a refrigeration integration model according to the target correlation characteristics;

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

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

[0061] The present invention provides an ice maker, including the compound high-efficiency refrigeration integration system described in any one of the above.

[0062] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0063] By constructing a temperature simulation space, it effectively realizes the acquisition of the target correlation characteristics of the air-cooling mode and the water-cooling mode of the ice maker, thereby constructing a refrigeration integration model, and then determining the collaborative refrigeration strategy through the refrigeration integration model, further ensuring the effective integration of the air-cooling mode and the water-cooling mode, thus achieving the best refrigeration effect, realizing more precise temperature control, helping to realize intelligent refrigeration control, adapting to different working scenarios and changes, achieving the purpose of extending the service life of the ice maker and reducing energy consumption.

[0064] Other features and advantages of the present invention will be set forth in the following description, and in part will be obvious from the description, or may be learned by practice of the present invention. The objectives and other advantages of the present invention may be realized and attained by the structure particularly pointed out in the specification.

[0065] The technical solution of the present invention will be further described in detail below with reference to the drawings and embodiments. Description of the Drawings

[0066] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention, but do not constitute a limitation to the present invention. In the drawings:

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

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

[0069] Figure 3 It is a flowchart of a compound high-efficiency refrigeration integrated method in an embodiment of the present invention. Detailed Embodiments

[0070] The preferred embodiments of the present invention will be described below with reference to the drawings. It should be understood that the preferred embodiments described herein are only for the purpose of illustrating and explaining the present invention, and are not used to limit the present invention.

[0071] Embodiment 1:

[0072] This embodiment provides a compound high-efficiency refrigeration integrated system, as Figure 1 shown, including:

[0073] A temperature simulation module, configured to obtain the temperature distribution trend of the ice maker and the heat exchange characteristics of the ice maker, and construct a temperature simulation space of the ice maker according to the temperature distribution trend and the heat exchange characteristics of the ice maker;

[0074] A model construction module, configured to perform correlation analysis on the temperature simulation space with the air-cooled mode and the water-cooled mode of the ice maker respectively to obtain target correlation characteristics, and construct a refrigeration integration model according to the target correlation characteristics;

[0075] A collaborative refrigeration strategy generation module, configured to collect real-time temperature data of the ice maker, and analyze the real-time temperature data according to the refrigeration integration model to generate a collaborative refrigeration strategy;

[0076] A refrigeration module, configured to perform refrigeration control on the ice maker based on the collaborative refrigeration strategy.

[0077] In this embodiment, the temperature distribution trend can be the state presented by the temperature at different positions in the ice maker.

[0078] In this embodiment, the heat exchange characteristics can be the characteristic manifestations related to the heat transfer and exchange between the ice maker and the external environment, including: the efficiency of heat exchange, the variation law of temperature during the heat exchange process, etc.

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

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

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

[0082] The working principle and beneficial effects of the above technical solution are: by constructing a temperature simulation space, effectively obtaining the target correlation characteristics of the air-cooling mode and water-cooling mode of the ice maker, thereby constructing a refrigeration integration model, and then determining the collaborative refrigeration strategy through the refrigeration integration model, further ensuring the effective integration of the air-cooling mode and water-cooling mode, so as to achieve the best refrigeration effect, realize more accurate temperature control, contribute to the realization of intelligent refrigeration control, adapt to different working scenarios and changes, and achieve the purpose of extending the service life of the ice maker and reducing energy consumption.

[0083] Embodiment 2:

[0084] Based on Embodiment 1, this embodiment provides a compound high-efficiency refrigeration integration system, and the temperature simulation module includes:

[0085] A temperature distribution trend acquisition unit for acquiring the temperature distribution trend of the ice maker;

[0086] A heat exchange characteristic determination unit for:

[0087] Acquiring external environment parameters, determining the heat dissipation influence degree of the ice maker according to the external environment parameters, and at the same time, determining according to the heat dissipation influence degree of the ice maker;

[0088] A temperature simulation element construction unit for

[0089] Acquiring the structure data of the ice maker, constructing the simulation space of the ice maker according to the structure data, and at the same time, acquiring the functional intervals of the ice maker;

[0090] Divide and annotate the simulation space according to the functional areas of the ice maker to obtain multiple sub-spaces of the simulation space. At the same time, perform temperature simulation on the multiple sub-spaces according to the temperature distribution trend and heat exchange characteristics;

[0091] Determine the temperature simulation space of the ice maker according to the temperature simulation results.

[0092] In this embodiment, the external environmental parameters refer to the temperature of the current external environment, wind speed and other information.

[0093] In this embodiment, the degree of heat dissipation influence is related to the external environmental parameters. For example, the higher the external environmental temperature, the greater the degree of heat dissipation influence on the ice maker.

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

[0095] In this embodiment, the functional area refers to the specific execution functions corresponding to different areas in the ice maker.

[0096] In this embodiment, the sub-space refers to the result obtained by dividing the simulation space of the ice maker according to the functional area.

[0097] The working principle and beneficial effects of the above technical solution are: by obtaining the temperature distribution trend of the ice maker and determining the heat exchange characteristics of the ice maker according to the external environmental parameters, and at the same time, constructing the simulation space of the ice maker according to the structural data of the ice maker, so as to realize the spatial division of the constructed simulation space according to the functional area of the ice maker, and realize the temperature simulation of each sub-space after spatial division according to the obtained temperature distribution trend and heat exchange characteristics, and finally effectively determine the temperature simulation space of the ice maker, which provides convenience and guarantee for determining the collaborative refrigeration strategy, so as to achieve effective temperature control.

[0098] Embodiment 3:

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

[0100] The position distribution point determination sub-unit is used to obtain 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 the temperature data of each position according to the temperature data nodes;

[0101] The data division sub-unit is used to obtain the working stage of the ice maker, and divide the temperature data of the temperature data nodes in real time according to the working stage to obtain the sub-temperature data set of each working stage;

[0102] A temperature part situation determination subunit, configured to analyze the sub-temperature data sets of each working stage, determine the temperature change characteristics of each working stage, and determine the temperature distribution situation of the ice maker according to the position distribution points and the temperature change characteristics corresponding to each position distribution point in each working stage.

[0103] In this embodiment, the temperature data collection node refers to the data point that collects and aggregates the temperature data collected by the temperature sensor.

[0104] In this embodiment, the working stages are known in advance and are the steps involved in the ice-making process of the ice maker. For example, they can be the cooling stage and the temperature stabilization stage, etc.

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

[0106] In this embodiment, the temperature change characteristic refers 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: By accurately and effectively constructing the temperature data collection node according to the position distribution points of the temperature sensors, the temperature data of each position can be accurately and effectively collected and aggregated through 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 to accurately and effectively determine the sub-temperature data set of each working stage. Finally, by analyzing the sub-temperature data set of each working stage, the temperature change characteristics of each working stage are obtained, and the temperature distribution situation of the ice maker is effectively determined according to the position distribution points and each position distribution point, providing a guarantee for realizing precise temperature control and helping to realize intelligent refrigeration control.

[0108] Embodiment 4:

[0109] Based on Embodiment 1, this embodiment provides a composite high-efficiency refrigeration integration system, as Figure 2 shown. The model construction module includes:

[0110] A function attribute determination unit, configured to obtain the function attributes of the ice maker and read the temperature simulation space;

[0111] A reference temperature data range determination unit, configured to determine the working stage of the ice maker according to the function attributes of the ice maker, and at the same time, determine the reference temperature data range of each working stage according to the temperature simulation space;

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

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

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

[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: by determining the reference temperature data range of each working stage according to the functional attributes of the ice maker, secondly, performing correlation analysis on the air-cooled mode and water-cooled mode of the ice maker according to the preset temperature threshold and the reference temperature data range to lock the target correlation features, which provides convenience for constructing the refrigeration integration model. Finally, accurately and effectively construct the refrigeration integration model according to the target correlation features, so as to facilitate the determination of the cooperative refrigeration strategy through the refrigeration integration model, thereby achieving the best refrigeration effect and realizing more accurate temperature control.

[0118] Embodiment 5:

[0119] Based on Embodiment 4, this embodiment provides a compound high-efficiency refrigeration integration system. The correlation analysis unit includes:

[0120] The mode determination subunit is used to perform correlation analysis on the air-cooled mode and water-cooled mode of the ice maker according to the preset temperature threshold and the reference temperature data range. 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 at 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 between the first real-time temperature data and the corresponding reference temperature data range;

[0124] Obtain the second real-time temperature data for 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 the second coincidence degree between the second real-time temperature data and the corresponding reference temperature data range;

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

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

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

[0128] When in the first comparison result, the first coincidence degree is equal to the second coincidence degree, when the temperature drops to the same cooling temperature within the same time period, determine the first energy consumption of the water-cooling mode and the second energy consumption of the air-cooling mode, and make a second comparison between the first energy consumption and the second energy consumption;

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

[0130] If the real-time temperature at each working stage is greater than the preset temperature threshold, start both the air-cooling mode and the water-cooling mode simultaneously 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 at each working stage of the ice maker in the air-cooling mode.

[0132] In this embodiment, the first coincidence degree refers to the matching situation between the first real-time temperature data and the reference temperature data range, that is, 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 at each working stage.

[0134] In this embodiment, the second coincidence degree refers to the matching situation between the second real-time temperature data and the reference temperature data range, that is, the degree to which the second real-time temperature data meets the corresponding reference temperature data range.

[0135] In this embodiment, when the temperature drops to the same temperature reduction within the same time period, it means that the ice maker is in the same environment and drops from one temperature to another temperature. For example, when the external influencing factors are the same, the ice maker reduces the temperature from 20 degrees Celsius to 5 degrees Celsius.

[0136] In this embodiment, the first energy consumption in the water-cooled mode and the second energy consumption in the air-cooled mode refer to the corresponding energy consumption situations when the ice maker uses the air-cooled mode and the water-cooled mode respectively for the same temperature reduction operation in the same environment.

[0137] The working principle and beneficial effects of the above technical solution are as follows: By comparing the real-time temperature of each working stage with the preset temperature threshold, when the real-time temperature is less than or equal to the preset temperature threshold, the first real-time temperature data and the range of reference temperature data of each working stage of the ice maker in the air-cooled mode and the second real-time temperature data and the range of reference temperature data of each working stage of the ice maker in the water-cooled mode are compared, so as to accurately and effectively determine whether to select the water-cooled mode or the air-cooled mode for the ice maker in different stages according to the comparison results. At the same time, if both modes are available, the energy consumption of the two modes in the same situation is determined, and the mode is determined according to the energy consumption. Finally, when the real-time temperature in each working stage is greater than the preset temperature threshold, the air-cooled mode and the water-cooled mode are started simultaneously to reduce the temperature, which improves the precise control of the temperature, adapts to different working scenarios and changes, and achieves the purpose of extending the service life of the ice maker and reducing energy consumption.

[0138] Embodiment 6:

[0139] Based on Embodiment 4, this embodiment provides a composite high-efficiency refrigeration integration system, and a refrigeration integration model construction unit, including:

[0140] A model framework retrieval subunit, configured to retrieve a model framework from a preset model library;

[0141] A training subunit, configured to perform iterative training on the model framework based on the target correlation features and read the loss value of each iterative training;

[0142] A model construction subunit, configured to construct a refrigeration integration model according to the training result when the loss value of the iterative training reaches a preset loss threshold.

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

[0144] The working principle and beneficial effects of the above technical solution are as follows: By iteratively training the retrieved model framework based on the target correlation features, the constructed refrigeration integrated model can accurately reflect the relationships among various factors related to refrigeration. By determining the loss value of the iterative training and comparing it with the preset loss threshold, the accuracy of the obtained refrigeration integrated model during operation can be effectively ensured.

[0145] Embodiment 7:

[0146] Based on Embodiment 1, this embodiment provides a compound high-efficiency refrigeration integrated system, a collaborative refrigeration strategy generation module, including:

[0147] A temperature data acquisition unit, used for:

[0148] Obtaining the temperature acquisition requirements based on the management terminal and parsing the temperature acquisition requirements to obtain the time interval for temperature acquisition of the ice maker;

[0149] Configuring the parameters of the preset temperature sensor based on the time interval and periodically acquiring the temperature data in the ice maker based on the parameter configuration result to obtain the real-time temperature data of the ice maker;

[0150] An analysis unit, used for inputting the real-time temperature data of the ice maker into the refrigeration integrated model for analysis and determining the target refrigeration mode for each acquisition period based on the analysis result;

[0151] A strategy determination unit, used for:

[0152] Extracting the time stamp of each acquisition period and obtaining the switching time point of the target refrigeration mode between adjacent acquisition periods based on the time stamp;

[0153] Associating the switching time point with the target refrigeration mode for each acquisition period and generating a dynamic collaborative refrigeration strategy based on the association result.

[0154] In this embodiment, the temperature acquisition requirements are the temperature acquisition targets of the user input 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, obtaining the switching time point of the target refrigeration mode between adjacent acquisition periods based on the time stamp can be to extract the time stamp of each acquisition period, and determine the switching time point of the target refrigeration mode of the ice maker by according to the time stamps of adjacent acquisition periods and the real-time temperature data collected within adjacent acquisition periods, that is, the specific time when the working mode of the ice maker changes.

[0157] In this embodiment, associating the switching time point with the target refrigeration mode in each collection cycle and generating a dynamic cooperative refrigeration strategy based on the association result means binding the time point of the ice maker's working mode switching and the target refrigeration mode during the corresponding time period, so as to effectively determine the changes and applications of the refrigeration mode in different situations, that is, the finally obtained cooperative refrigeration strategy.

[0158] The working principle and beneficial effects of the above technical solution are: The dynamic cooperative refrigeration strategy can adjust the refrigeration mode according to the real-time temperature situation inside the ice maker. The appropriate refrigeration mode can make the ice maker work with the best refrigeration power at different temperature stages, thereby accelerating the ice-making speed and improving the ice-making efficiency. By accurately collecting the temperature and reasonably adjusting the refrigeration mode, the temperature environment inside the ice maker can be better controlled, ensuring the stability of the ice-making process, and further improving the intelligence of the ice maker.

[0159] Embodiment 8:

[0160] Based on Embodiment 1, this embodiment provides a composite high-efficiency refrigeration integration system. The refrigeration module includes:

[0161] A strategy retrieval unit, configured to obtain the obtained cooperative refrigeration strategy and perform refrigeration control on the ice maker based on the cooperative refrigeration strategy;

[0162] An inspection unit, 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] A recording unit, configured to extract the effective time of the cooperative refrigeration strategy when the refrigeration control effect meets the preset requirements, 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.

[0164] In this embodiment, the preset requirements are 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 requirements.

[0166] The working principle and beneficial effects of the above technical solution are: By performing temperature re-inspection on the ice maker, the refrigeration control effect can be effectively determined. Thus, when the refrigeration control effect meets the preset requirements, a refrigeration control log can be effectively generated, which is beneficial to providing an important reference basis for technicians.

[0167] Embodiment 9:

[0168] This embodiment provides a composite high-efficiency refrigeration integration method, as Figure 3As shown, it includes:

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

[0170] Step 2: Conduct correlation analysis on the temperature simulation elements with the air-cooled mode and the water-cooled mode of the ice maker respectively to obtain the target correlation characteristics, and construct the refrigeration integration model according to the target correlation characteristics;

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

[0172] Step 4: Conduct refrigeration control on the ice maker based on the collaborative refrigeration strategy.

[0173] The working principle and beneficial effects of the above technical solution are: By constructing a temperature simulation space, it effectively realizes the acquisition of the target correlation characteristics of the air-cooled mode and the water-cooled mode of the ice maker, thereby constructing a refrigeration integration model, and then determining a collaborative refrigeration strategy through the refrigeration integration model, further ensuring the effective integration of the air-cooled mode and the water-cooled mode, so as to achieve the best refrigeration effect, realize more precise temperature control, contribute to the realization of intelligent refrigeration control, adapt to different working scenarios and changes, and achieve the purpose of extending the service life of the ice maker and reducing energy consumption.

[0174] Embodiment 10:

[0175] This embodiment provides an ice maker, including a composite high-efficiency refrigeration integration system that executes any one of Embodiments 1 to 8.

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

Claims

1. A composite high-efficiency refrigeration integrated system, characterized in that: include: The temperature simulation module is used to obtain the temperature distribution 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 of the ice maker and the heat exchange characteristics; A model building module is used to associate the temperature simulation space with the air cooling mode and the water cooling mode of the ice maker, obtain target association features, and build a refrigeration integration model based on the target association features; The collaborative refrigeration strategy generation module is used to collect the real-time temperature data of the ice maker, analyze the real-time temperature data according to the refrigeration integration model, and generate a collaborative refrigeration strategy; The refrigeration module is used to control the refrigeration of the ice machine based on the cooperative refrigeration strategy.

2. A composite high-efficiency refrigeration integrated system according to claim 1, characterized in that: Temperature simulation module, including: A temperature distribution status acquisition unit, used to acquire the temperature distribution status of the ice maker; A heat exchange characterization unit for: Acquire external environmental parameters, and determine the heat dissipation influence degree of the ice maker according to the external environmental parameters, and at the same time, determine the heat exchange characteristics of the ice maker according to the heat dissipation influence degree of the ice maker; Temperature simulation element building blocks for Obtaining structural data of the ice maker, and constructing a simulation space of the ice maker according to the structural data, and obtaining a functional range of the ice maker; The simulation space is divided and annotated according to the functional intervals of the ice maker to obtain multiple subspaces of the simulation space. At the same time, temperature simulation is performed on the multiple subspaces according to the temperature distribution situation and heat exchange characteristics; The temperature simulation space of the ice maker is determined according to the temperature simulation results.

3. A composite high-efficiency refrigeration integrated system according to claim 2, characterized in that: Temperature distribution status acquisition unit, including: The location distribution point determination subunit is used to obtain the location distribution points of the temperature sensor of the ice maker, and to construct a temperature data collection node according to the location distribution points, and to collect temperature data of each location according to the temperature data node; The data division subunit is used to obtain the working stage of the ice maker and divide the temperature data of the temperature data node in real time according to the working stage to obtain a sub-temperature data set for each working stage; The temperature partial situation determination subunit is used to analyze the sub-temperature data set of each working stage, determine the temperature change characteristics of each working stage, and determine the temperature distribution situation of the ice maker according to the position distribution points and the temperature change characteristics of each position distribution point corresponding to each working stage.

4. A composite high-efficiency refrigeration integrated system according to claim 1, characterized in that: Model building modules, including: A functional attribute determination unit, used for obtaining the functional attributes of the ice maker and reading the temperature simulation space; A reference temperature data range determination unit is used to determine the working stage of the ice maker according to the functional attributes of the ice maker, and at the same time, determine the reference temperature data range of each working stage according to the temperature simulation space; A correlation analysis unit, used to obtain a preset temperature threshold, and perform correlation analysis on 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 feature; The refrigeration integrated model building unit is used to build a refrigeration integrated model according to target associated features.

5. A composite high-efficiency refrigeration integrated system according to claim 4, characterized in that: Association analysis unit, including: The mode determination subunit is used to perform correlation analysis between 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. The specific process is as follows: Compare 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; Acquire first real-time temperature data of each working stage in the air cooling mode, and compare the first real-time temperature data with a corresponding reference temperature data range to determine a first overlap between the first real-time temperature data and the corresponding reference temperature data range; 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 overlap between the second real-time temperature data and the corresponding reference temperature data range; Perform a first comparison of the first degree of coincidence with the second degree of coincidence; When, in the first comparison result, the first overlap is less than the second overlap, the water cooling mode is selected in the corresponding working stage; When, in the first comparison result, the first overlap degree is greater than the second overlap degree, 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, when the temperature drops to the same temperature drop temperature in the same time period, the first energy consumption of the water cooling mode and the second energy consumption of the air cooling mode are determined, and a second comparison is performed between the first energy consumption and 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 during 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.

6. A composite high-efficiency refrigeration integrated system according to claim 4, characterized in that: Refrigeration integrated model building unit, including: A model framework calling subunit is used to call a model framework in a preset model library; The training subunit is used to iteratively train the model framework based on the target-related features and read the loss value of each iterative training; The model building subunit is used to build a cooling integration model according to the training results when the loss value of the iterative training reaches a preset loss threshold.

7. The composite high-efficiency refrigeration integrated system according to claim 1, characterized in that: Collaborative cooling strategy generation module, including: Temperature data acquisition unit for: The temperature collection requirement is obtained based on the management terminal, and the temperature collection requirement is parsed to obtain the time interval for collecting the temperature of the ice maker; Parameters of a preset temperature sensor are configured based on a time interval, and temperature data in the ice maker is periodically collected based on the parameter configuration result to obtain real-time temperature data of the ice maker; An analysis unit, used for inputting the real-time temperature data of the ice maker into the refrigeration integrated model for analysis, and determining the target refrigeration mode in each acquisition cycle based on the analysis result; A policy determination unit, configured to: Extract the timestamp of each acquisition cycle, and obtain the switching time point of the target cooling mode between adjacent acquisition cycles based on the timestamp; The switching time point is associated with the target cooling mode in each acquisition cycle, and a dynamic collaborative cooling strategy is generated based on the association results.

8. The composite high-efficiency refrigeration integrated system according to claim 1, characterized in that: Refrigeration module, including: A strategy retrieval unit, used to obtain the obtained collaborative refrigeration strategy and perform refrigeration control on the ice maker based on the collaborative refrigeration strategy; A verification unit, used to perform a temperature recheck on the ice maker based on the refrigeration control result, and obtain a refrigeration control effect of the collaborative refrigeration strategy on the ice maker based on the temperature recheck result; The recording unit is used to extract the effective time of the collaborative cooling strategy when the cooling control effect meets the preset requirements, and record the effective time and the collaborative cooling strategy in a preset report to obtain a cooling control log, and archive the cooling control log.

9. A composite high-efficiency refrigeration integrated method, characterized in that: include: Step 1: Obtain the temperature distribution of the ice maker and the heat exchange characteristics of the ice maker, and construct a temperature simulation element of the ice maker according to the temperature distribution and heat exchange characteristics of the ice maker; Step 2: Perform correlation analysis on the temperature simulation elements and the air cooling mode and water cooling mode of the ice maker to obtain the target correlation features, and build a refrigeration integration model based on the target correlation features; Step 3: Collect the real-time temperature data of the ice machine, analyze the real-time temperature data according to the refrigeration integration model, and generate a collaborative refrigeration strategy; Step 4: Control the ice machine based on the cooperative cooling strategy.

10. An ice making machine, characterized in that: The invention comprises a composite high-efficiency refrigeration integrated system according to any one of claims 1 to 8.

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