Medical ice making device

Abstract

The present invention belongs to the technical field of preparation equipment, and specifically is a medical ice making device, comprising: a box body, the box body is used for installing various components; an ice making component, the ice making component is arranged in the box body, and the ice making component is used to make medical ice cubes according to demand; the packaging component is arranged in the box body, the packaging component is used to package and package the made ice cubes and transport them to a freezer for insulation; and a control system, the control system is connected to the ice making component and the packaging component, the control system is used to control the operation of the box body according to demand and control the timeliness of making medical ice cubes, thereby achieving the effect of intelligent management of ice cube making.

Description

Technical Field

[0001] The present invention relates to the technical field of ice making equipment, in particular to a medical ice making device. Background Art

[0002] Medical and health departments typically purchase ice from ice factories for daily use or for emergency treatment. This creates numerous inconveniences for hospitals. First, the purchased ice is large and requires manual crushing before packing into ice bags. Leftover ice cannot be stored, resulting in a waste of manpower and financial resources. Second, if the ice factory is closed or there is a power outage, there is no way to solve the problem of temporary ice supply. For hospitals far from ice factories or with inconvenient transportation, buying ice from ice factories is simply too far away to remedy the situation, often delaying patients' treatment and causing irreparable losses.

[0003] Using ice packs for cooling is one of the most commonly used physical cooling methods in orthopedics. Swelling peaks 24-72 hours after a limb fracture. Localized swelling and congestion compress peripheral nerves, causing not only pain but also tension blisters, which are a contraindication for surgery. Cold compresses can reduce oxygen consumption during tissue metabolism, inhibit the production of interstitial fluid and lymph, reduce bleeding and blister formation, and effectively alleviate edema and pain, allowing for earlier surgery. Therefore, to ensure the effectiveness of ice compresses, nursing staff should adopt a scientific and effective procedure.

[0004] Ice bags need to be filled with a lot of ice cubes. How to quickly produce a large amount of ice cubes has become an urgent problem to be solved.

[0005] In view of the above technical defects, a solution of a medical ice making device is now proposed. Summary of the Invention

[0006] In order to solve the above problems, the present invention provides the following technical solutions:

[0007] A medical ice making device comprising:

[0008] A box body, which is used for installing various components;

[0009] An ice-making assembly, the ice-making assembly being disposed in the box and being used to make medical ice cubes according to demand;

[0010] A packaging assembly is disposed in the box and is used to package the ice cubes and transport them to the freezing chamber for heat preservation;

[0011] A control system is provided, wherein the control system is connected to the ice-making assembly and the packaging assembly, and is used to control the operation of the box body and the time for making medical ice cubes according to demand.

[0012] Furthermore, the ice-making assembly includes an ice-making chamber, an ice-maker, a placement plate and an ice-pushing unit, the ice-making chamber is arranged in the box body, the ice-maker is arranged along the box body and the ice-maker is connected to the ice-making chamber for controlling the formation of ice cubes, the placement plate is rotatably arranged along the ice-making chamber, the placement plate is provided with an ice-making groove, the ice-making groove is used to hold water to make ice, the ice-pushing unit is provided in the ice-making chamber, the ice-making chamber is provided with an ice outlet, and the ice outlet is used to collect and transfer the ice cubes made on the placement plate;

[0013] The ice pushing part includes a vibration plate, a vibration motor and a pushing plate. The vibration plate is arranged in the ice-making chamber, the vibration plate is arranged above the placement plate and the vibration plate is hollowed out, the vibration motor is arranged in the box, the vibration motor is connected to the vibration plate and is used to drive the vibration plate to vibrate to remove the ice cubes made on the placement plate, and the pushing plate is arranged at the bottom of the ice-making chamber. The pushing plate moves along the bottom of the ice-making chamber and withdraws the ice cubes removed from the placement plate and transfers them along the ice outlet to the packaging assembly for packaging.

[0014] Furthermore, the packaging assembly includes an ice storage chamber, a packing plate and a packing machine. The ice storage chamber is arranged along the box body and is located below the ice making chamber. The packing plate is arranged between the ice making chamber and the ice storage chamber. The packing machine is arranged along the packing plate and seals and packs the ice cubes transferred from the ice making chamber. The packing plate is connected to the ice storage chamber and transfers the packaged ice bags to the ice storage chamber for frozen storage.

[0015] Furthermore, the control system includes:

[0016] Temperature control module: monitors and adjusts the temperature of the refrigeration system to ensure that the ice produced meets medical standards;

[0017] Water quality management module: monitors and controls the quality of incoming water, including filtration system, softening system and water quality sensor;

[0018] Ice maker control module: including the start, stop and ice making cycle control of the ice maker;

[0019] Ice storage management module: monitors ice storage to prevent overfilling or underfilling, and can adjust the temperature of the ice storage room;

[0020] Disinfection and cleaning module: perform regular cleaning and disinfection procedures to ensure equipment hygiene;

[0021] User interface module: provides an operating interface, including a touch screen or buttons, to display the current status, alarm information and other important parameters;

[0022] Alarm and fault diagnosis module: monitors the equipment operating status and provides fault alarm and diagnosis functions.

[0023] Furthermore, the temperature control module includes temperature sensors installed at different key locations of the refrigeration system, such as the evaporator, condenser, ice storage compartment and ambient temperature sensors and monitors the temperature inside the equipment and the ice storage area in real time;

[0024] A controller is provided, comprising one or more microprocessors or control chips, for receiving signals from the temperature sensor and regulating the refrigeration system according to a preset temperature range and a control algorithm;

[0025] Control of the refrigeration unit includes controlling the operation of components such as the refrigeration compressor, expansion valve, and fan to adjust the refrigeration capacity and maintain the target temperature. Advanced control algorithms such as PID controllers are used to achieve precise temperature control.

[0026] The heating element is provided to prevent icing caused by low temperature or to perform a defrost function;

[0027] The cabinet temperature setting and calibration interface is used to set the target temperature and calibrate the sensor through a control panel or interface, including displaying the current temperature, set temperature and error information.

[0028] Furthermore, the water quality management module includes a coarse filter to remove large particles of impurities, such as silt and rust; a fine filter to remove smaller suspended particles, bacteria and viruses;

[0029] The water quality detection sensors include a TDS sensor to detect the total dissolved solids content in the water to assess the water purity; a pH sensor to monitor the acidity and alkalinity of the water to ensure that the water quality is within the appropriate range; a conductivity sensor to monitor the conductivity of the water to assess the ion concentration in the water; and a temperature sensor to detect the temperature of the incoming water to ensure temperature stability during the ice making process.

[0030] The water quality management module also includes removing calcium and magnesium ions in the water to prevent condensation, removing odor, chlorine and organic pollutants in the water, further purifying the water source to remove dissolved salts and tiny particles; and using ultraviolet light to eliminate bacteria and viruses in the water;

[0031] Setting up a water quality management controller includes centrally monitoring and controlling the operation of all water quality detection sensors and treatment equipment, adjusting the treatment process in real time, and ensuring that the effluent quality is stable within the preset standards.

[0032] Furthermore, the ice storage management module includes:

[0033] User interface design, including providing an intuitive touch screen interface that can display various operating parameters and status information, support multiple languages, and facilitate use by different user groups. It uses menus and icons to ensure that users can quickly find the required functions;

[0034] Ice making parameter settings include multiple preset modes such as fast ice making, energy saving mode, and high-quality ice mode, which users can select according to their needs; allowing users to manually adjust ice making speed, water temperature, and ice size parameters. Users can set a reservation time according to their needs and start the ice making process in advance to ensure sufficient ice supply when needed;

[0035] Intelligent monitoring and optimization, including real-time monitoring of ice-making status, including temperature, humidity, compressor status, and water level parameters. Based on the currently monitored conditions, the system automatically optimizes ice-making parameters to improve ice-making efficiency and ice quality. Based on historical data and the current environment, the system provides users with optimization suggestions, such as adjusting the temperature or ice-making cycle.

[0036] Data analysis and reporting, including recording the parameters and results of each ice-making process to facilitate user analysis and adjustment, and regularly generating ice-making efficiency and energy consumption reports to help users understand the operation of the equipment. By analyzing historical data trends, future ice-making demand can be predicted and adjustments can be made in advance;

[0037] Remote control and notifications, including remote monitoring and control of the ice maker's operating status via a mobile app or web interface. Users will be notified via SMS, email, or app when ice production is complete, a fault occurs, or the ice storage compartment is low on ice. Users can then remotely set and adjust ice-making parameters to ensure more efficient ice production when special needs arise.

[0038] Energy saving and efficiency management, including real-time monitoring of the energy consumption of the equipment, providing energy-saving operation mode to reduce power consumption, automatically entering sleep mode when no ice making demand is detected, saving energy, optimizing the operating parameters of the refrigeration system, and ensuring the best ice making effect with the lowest energy consumption.

[0039] Furthermore, the alarm and fault diagnosis module includes:

[0040] The sensor network includes temperature sensors, humidity sensors, water level sensors, and compressor status sensors. The sensors collect equipment operation data in real time and continuously monitor various parameters.

[0041] Data acquisition and processing involves collecting and processing sensor data to ensure all information is accurate and timely, using algorithms to analyze the data and identify potential anomalies;

[0042] Fault detection includes identifying and detecting faults, such as compressor failure, water pump failure, and sensor failure. It uses set thresholds and rules to trigger an alarm when a parameter deviates from the standard range.

[0043] Automatic diagnosis includes automatically diagnosing the cause of the fault based on the fault detection data and providing a detailed fault report including the fault type, occurrence time, and impact range;

[0044] Historical data analysis includes analyzing historical data to help identify frequent problems, provide improvement suggestions, and record historical data of all faults for easy tracking and analysis;

[0045] Sound and light alarms include when a fault or abnormality is detected, the device will issue sound and light alarms through buzzers, indicator lights, etc.; the system remotely notifies users through mobile phone applications, emails, text messages, etc. to ensure timely notification.

[0046] Furthermore, the data processing includes using data processing algorithms to monitor the operating status of the equipment in real time and identify potential problems. Through long-term analysis of the collected data, trends and patterns in operation, such as seasonal changes and cyclical fluctuations, are identified. Based on historical data and current status, possible failures are predicted and users are notified in advance for maintenance. Through in-depth analysis of data, ice making parameters, such as ice making time and temperature settings, are optimized to improve efficiency and energy saving effects. User operating habits are analyzed to provide personalized suggestions and enhance user experience.

[0047] The data processing includes collecting the data recognized by the sensor and establishing a database, filtering the data in the database, and filtering the data by building a filtering algorithm model. The formula is as follows: ;in, is the function obtained after filtering, Filter the original database, is the domain operator.

[0048] Furthermore, the data analysis includes determining the authenticity of the database data, including calculating the authenticity. ;in, Indicates the The sequence authenticity of the database data subsequence, Indicates the The data slope of the subsequence of the database is more concentrated than the data slope of the set. Indicates the The data slope of the database data subsequence is the data slope variation value of the set, represents the free number of the true measure, represents a real quantity of real measurement, Indicates the The total number of data slope ratio sets of the database data subsequences, Indicates taking the absolute value.

[0049] Compared with the prior art, the present invention has the following beneficial effects:

[0050] 1. In a medical ice-making device of the present invention, a housing is used to install various components; an ice-making assembly is disposed within the housing and is used to produce medical ice cubes as needed; a packaging assembly is disposed within the housing and is used to package and package the produced ice cubes and transport them to a freezer for insulation; and a control system is connected to the ice-making assembly and is used to control the operation of the housing and the timeliness of producing medical ice cubes as needed, thereby achieving intelligent management of ice cube production.

[0051] 2. In a medical ice-making device according to the present invention, a temperature control module includes temperature sensors installed at various key locations in the refrigeration system, such as the evaporator, condenser, ice storage compartment, and ambient temperature sensors, to monitor the temperature inside the device and in the ice storage area in real time. A controller is provided, including one or more microprocessors or control chips, for receiving signals from the temperature sensors and adjusting the refrigeration system according to a preset temperature range and control algorithm. Control of the refrigeration unit includes controlling the operation of components such as the refrigeration compressor, expansion valve, and fan to adjust refrigeration capacity and maintain a target temperature, using advanced control algorithms such as PID controllers to achieve precise temperature control. A heating element is provided to prevent ice formation caused by excessively low temperatures or to perform a defrost function. The housing is provided with a temperature setting and calibration interface for setting the target temperature and calibrating the sensors via a control panel or interface, including displaying the current temperature, set temperature, and error information, thereby achieving a refined division of labor for ice production. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings;

[0053] Figure 1 This is an overall schematic diagram of a medical ice making device according to the present invention;

[0054] Figure 2 This is a schematic axial cross-sectional view of a medical ice making device according to the present invention;

[0055] Figure 3 This is a schematic diagram of the framework of a control system in a medical ice making device of the present invention;

[0056] Figure 4 This is a schematic diagram of the framework of an ice storage management module in a medical ice making device of the present invention.

[0057] Figure numerals: 1. Box body; 2. Ice-making assembly; 21. Ice-making chamber; 22. Ice maker; 23. Placement plate; 24. Ice pushing part; 241. Vibration plate; 242. Vibration motor; 243. Pushing plate; 3. Packing assembly; 31. Ice storage chamber; 32. Packing plate; 33. Packing machine. DETAILED DESCRIPTION

[0058] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0059] like Figure 1-4 As shown, a medical ice making device comprises:

[0060] Box 1: Box 1 is used for installing various components;

[0061] Ice-making assembly 2, which is arranged in the box body 1 and is used to make medical ice cubes according to demand;

[0062] The packaging component 3 is arranged in the box body 1 and is used to package the ice cubes and transport them to the freezing chamber for insulation;

[0063] The control system connects the ice-making component 2 and the packaging component 3. The control system is used to control the operation of the box 1 and the time of making medical ice cubes according to demand.

[0064] Specifically, the ice-making assembly 2 includes an ice-making chamber 21, an ice-maker 22, a placement plate 23 and an ice-pushing unit 24. The ice-making chamber 21 is arranged in the box body 1, the ice-maker 22 is arranged along the box body 1 and the ice-maker 22 is connected to the ice-making chamber 21 for controlling the formation of ice cubes. The placement plate 23 is arranged to rotate along the ice-making chamber 21. The placement plate 23 is provided with an ice-making groove for holding water to make ice. The ice-pushing unit 24 is arranged in the ice-making chamber 21. The ice-making chamber 21 is provided with an ice outlet for collecting and transferring the ice cubes made on the placement plate 23. The ice-pushing unit 24 includes a vibration plate 241, a vibration plate 242, and a vibration plate 243. The motor 242 and the push plate 243, the vibration plate 241 are arranged in the ice-making chamber 21, the vibration plate 241 is arranged above the placement plate 23 and the vibration plate 241 is hollowed out, the vibration motor 242 is arranged in the box body 1, the vibration motor 242 is connected to the vibration plate 241 to drive the vibration plate 241 to vibrate and remove the ice cubes made on the placement plate 23, the push plate 243 is arranged at the bottom of the ice-making chamber 21, the push plate 243 moves along the bottom of the ice-making chamber 21 and withdraws the ice cubes removed from the placement plate 23 and transfers them along the ice outlet to the packaging component 3 for packaging.

[0065] The packaging assembly 3 includes an ice storage chamber 31, a packing plate 32 and a packing machine 33. The ice storage chamber 31 is arranged along the box body 1 and is located below the ice making chamber 21. The packing plate 32 is arranged between the ice making chamber 21 and the ice storage chamber 31. The packing machine 33 is arranged along the packing plate 32 and seals and packs the ice cubes transferred from the ice making chamber 21. The packing plate 32 is connected to the ice storage chamber 31 and transfers the packaged ice bags to the ice storage chamber 31 for frozen storage.

[0066] Specifically, the control system includes:

[0067] Temperature control module: monitors and adjusts the temperature of the refrigeration system to ensure that the ice produced meets medical standards;

[0068] Water quality management module: monitors and controls the quality of incoming water, including filtration system, softening system and water quality sensor;

[0069] Ice maker control module: including the start, stop and ice making cycle control of the ice maker;

[0070] Ice storage management module: monitors ice storage to prevent overfilling or underfilling, and can adjust the temperature of the ice storage room;

[0071] Disinfection and cleaning module: perform regular cleaning and disinfection procedures to ensure equipment hygiene;

[0072] User interface module: provides an operating interface, including a touch screen or buttons, to display the current status, alarm information and other important parameters;

[0073] Alarm and fault diagnosis module: monitors the equipment operating status and provides fault alarm and diagnosis functions.

[0074] Specifically, the temperature control module includes temperature sensors installed at different key locations of the refrigeration system, such as the evaporator, condenser, ice storage compartment, and ambient temperature sensors, and monitors the temperature inside the equipment and the ice storage area in real time;

[0075] A controller is provided, comprising one or more microprocessors or control chips, for receiving signals from the temperature sensor and regulating the refrigeration system according to a preset temperature range and a control algorithm;

[0076] Control of the refrigeration unit includes controlling the operation of components such as the refrigeration compressor, expansion valve, and fan to adjust the refrigeration capacity and maintain the target temperature. Advanced control algorithms such as PID controllers are used to achieve precise temperature control.

[0077] The heating element is provided to prevent icing caused by low temperature or to perform a defrost function;

[0078] The cabinet temperature setting and calibration interface is used to set the target temperature and calibrate the sensor through a control panel or interface, including displaying the current temperature, set temperature and error information.

[0079] Specifically, the water quality management module includes a coarse filter to remove large particles of impurities, such as mud, sand, and rust; a fine filter to remove smaller suspended particles, bacteria, and viruses;

[0080] The water quality detection sensors include a TDS sensor to detect the total dissolved solids content in the water to assess the water purity; a pH sensor to monitor the acidity and alkalinity of the water to ensure that the water quality is within the appropriate range; a conductivity sensor to monitor the conductivity of the water to assess the ion concentration in the water; and a temperature sensor to detect the temperature of the incoming water to ensure temperature stability during the ice making process.

[0081] The water quality management module also includes removing calcium and magnesium ions in the water to prevent condensation, removing odor, chlorine and organic pollutants in the water, purifying the water source to remove dissolved salts and tiny particles; and using ultraviolet light to eliminate bacteria and viruses in the water;

[0082] Setting up a water quality management controller includes centrally monitoring and controlling the operation of all water quality detection sensors and treatment equipment, adjusting the treatment process in real time, and ensuring that the effluent quality is stable within the preset standards.

[0083] The ice maker control module includes a main controller: composed of a microprocessor or a programmable logic controller (PLC), which is responsible for the coordination and control of the entire system; executing the preset ice making program and managing the operating status of each subsystem;

[0084] A sensor unit comprising:

[0085] Temperature sensor: monitors the evaporator, condenser and ambient temperature to ensure that the ice making process is carried out within the appropriate temperature range;

[0086] Water level sensor: detects the water level in the water tank and ice storage room, controls automatic water inflow and prevents overflow;

[0087] Ice full sensor: used to detect the ice full state in the storage bin to stop the ice making process;

[0088] Pressure sensor: monitors the pressure in the refrigeration system to ensure that the system operates within a safe range;

[0089] Refrigeration system control includes controlling the working status of the compressor, condenser fan and expansion valve to adjust the refrigeration capacity, start and stop the refrigeration cycle, and automatically adjust operating parameters to optimize ice making efficiency and energy consumption;

[0090] Water system control includes controlling water pumps and solenoid valves to supply cooling water and ice-making water as needed; managing the flow and direction of water circulation to ensure that water quality meets requirements.

[0091] De-icing and demoulding control includes starting the heating or reverse cycle program to help the ice cubes to be demoulded. It also controls the automatic ice scraping device to ensure that the ice cubes are discharged smoothly into the ice storage compartment.

[0092] Specifically, the ice storage management module includes:

[0093] User interface design, including providing an intuitive touch screen interface that can display various operating parameters and status information, support multiple languages, and facilitate use by different user groups. It uses menus and icons to ensure that users can quickly find the required functions;

[0094] Ice making parameter settings include multiple preset modes such as fast ice making, energy saving mode, and high-quality ice mode, which users can select according to their needs; allowing users to manually adjust ice making speed, water temperature, and ice size parameters. Users can set a reservation time according to their needs and start the ice making process in advance to ensure sufficient ice supply when needed;

[0095] Intelligent monitoring and optimization, including real-time monitoring of ice-making status, including temperature, humidity, compressor status, and water level parameters. Based on the currently monitored conditions, the system automatically optimizes ice-making parameters to improve ice-making efficiency and ice quality. Based on historical data and the current environment, the system provides users with optimization suggestions, such as adjusting the temperature or ice-making cycle.

[0096] Data analysis and reporting, including recording the parameters and results of each ice-making process to facilitate user analysis and adjustment, and regularly generating ice-making efficiency and energy consumption reports to help users understand the operation of the equipment. By analyzing historical data trends, future ice-making demand can be predicted and adjustments can be made in advance;

[0097] Remote control and notifications, including remote monitoring and control of the ice maker's operating status via a mobile app or web interface. Users will be notified via SMS, email, or app when ice production is complete, a fault occurs, or the ice storage compartment is low on ice. Users can then remotely set and adjust ice-making parameters to ensure more efficient ice production when special needs arise.

[0098] Energy saving and efficiency management, including real-time monitoring of the energy consumption of the equipment, providing energy-saving operation mode to reduce power consumption, automatically entering sleep mode when no ice making demand is detected, saving energy, optimizing the operating parameters of the refrigeration system, and ensuring the best ice making effect with the lowest energy consumption.

[0099] Specifically, the alarm and fault diagnosis module includes:

[0100] The sensor network includes temperature sensors, humidity sensors, water level sensors, and compressor status sensors. The sensors collect equipment operation data in real time and continuously monitor various parameters.

[0101] Data acquisition and processing involves collecting and processing sensor data to ensure all information is accurate and timely, using algorithms to analyze the data and identify potential anomalies;

[0102] Fault detection includes identifying and detecting faults, such as compressor failure, water pump failure, and sensor failure. It uses set thresholds and rules to trigger an alarm when a parameter deviates from the standard range.

[0103] Automatic diagnosis includes automatically diagnosing the cause of the fault based on the fault detection data and providing a detailed fault report including the fault type, occurrence time, and impact range;

[0104] Historical data analysis includes analyzing historical data to help identify frequent problems, provide improvement suggestions, and record historical data of all faults for easy tracking and analysis;

[0105] Sound and light alarms include when a fault or abnormality is detected, the device will issue sound and light alarms through buzzers, indicator lights, etc.; the system remotely notifies users through mobile phone applications, emails, text messages, etc. to ensure timely notification.

[0106] Specifically, the data processing includes using data processing algorithms to monitor the operating status of the equipment in real time and identify potential problems. Through long-term analysis of the collected data, it can identify trends and patterns in operation, such as seasonal changes and cyclical fluctuations. Based on historical data and current status, it can predict possible failures and notify users in advance to perform maintenance. Through in-depth analysis of data, it can optimize ice making parameters, such as ice making time and temperature settings, to improve efficiency and energy saving effects. It can also analyze user operating habits, provide personalized suggestions, and enhance user experience.

[0107] The data processing includes collecting the data recognized by the sensor and establishing a database, filtering the data in the database, and filtering the data by building a filtering algorithm model. The formula is as follows: ;in, is the function obtained after filtering, Filter the original database, It is a domain operator that filters the data between data point i, data point j, data point k and data point l by carrying a filter function. Complete the cleaning of the database to obtain highly reliable data.

[0108] Specifically, the data analysis includes judging the authenticity of the database data, including calculating the authenticity. ;in, Indicates the The sequence authenticity of the database data subsequence, Indicates the The data slope of the subsequence of the database is more concentrated than the data slope of the set. Indicates the The data slope of the database data subsequence is the data slope variation value of the set, represents the free number of the true measure, represents a real quantity of real measurement, Indicates the The total number of data slope ratio sets of the database data subsequences, It represents taking the absolute value, performing true measurement on the corresponding database data subsequence according to the data slope ratio set of each database data subsequence, and obtaining the sequence true value of each database data subsequence. Specifically, it includes: determining the data slope concentration trend of the data slope ratio set of each database data subsequence; determining the data slope variation value of the data slope ratio set of each database data subsequence; determining the free number of the true measurement; setting the true amount of the true measurement; and obtaining the total number of data slope ratio sets of each database data subsequence.

[0109] The working principle of the medical ice making device of the present invention is as follows: a box is used for installing various components; an ice making component is arranged in the box, and the ice making component is used to make medical ice cubes according to demand; a packaging component is arranged in the box, and the packaging component is used to pack and package the ice cubes after they are made and transport them to the freezing chamber for insulation; a control system is connected to the ice making component and the packaging component, and the control system is used to control the operation of the box according to demand and control the time of making medical ice cubes, which has the effect of intelligent management of ice cube making; a temperature control module includes temperature sensors installed at different key positions of the refrigeration system, such as the evaporator, condenser, ice storage chamber and ambient temperature sensors, and monitors the temperature inside the equipment and the ice storage chamber in real time The temperature of the area; a controller is set, including one or more microprocessors or control chips, for receiving signals from temperature sensors and adjusting the refrigeration system according to a preset temperature range and control algorithm; the control of the refrigeration unit includes controlling the operation of components such as the refrigeration compressor, expansion valve, fan, etc. to adjust the refrigeration capacity and maintain the target temperature, and according to advanced control algorithms such as PID controllers, precise temperature control is achieved; a heating element is set to prevent icing problems caused by too low a temperature or to perform a defrost function; the box is provided with a temperature setting and calibration interface for setting the target temperature and calibrating the sensor through a control panel or interface, including displaying the current temperature, set temperature and error information, which has the effect of fine division of labor in ice making.

[0110] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A medical ice making device, characterized in that: include: A box (1), wherein the box (1) is used for installing various components; An ice-making assembly (2), the ice-making assembly (2) being arranged in the box (1), and the ice-making assembly (2) being used to make medical ice cubes according to demand; A packaging component (3), the packaging component (3) is arranged in the box body (1), and the packaging component (3) is used to package and package the ice cubes produced and transport them to the freezing chamber for heat preservation; A control system, the control system being connected to the ice-making assembly (2) and the packaging assembly (3), the control system being used to control the operation of the box (1) and the timeliness of making medical ice cubes according to demand; The control system includes: Temperature control module: monitors and adjusts the temperature of the refrigeration system to ensure that the ice produced meets medical standards; Water quality management module: monitors and controls the quality of incoming water, including filtration system, softening system and water quality sensor; Ice maker control module: including the start, stop and ice making cycle control of the ice maker; Ice storage management module: monitors ice storage to prevent overfilling or underfilling, and can adjust the temperature of the ice storage room; Disinfection and cleaning module: perform regular cleaning and disinfection procedures to ensure equipment hygiene; User interface module: provides an operating interface, including a touch screen or buttons, to display the current status, alarm information and other important parameters; Alarm and fault diagnosis module: monitors the equipment operating status and provides fault alarm and diagnosis functions; The alarm and fault diagnosis module includes: The sensor network includes temperature sensors, humidity sensors, water level sensors, and compressor status sensors. The sensors collect equipment operation data in real time and continuously monitor various parameters. Data acquisition and processing involves collecting and processing sensor data to ensure all information is accurate and timely, using algorithms to analyze the data and identify potential anomalies; Fault detection involves identifying and detecting faults, using set thresholds and rules to trigger an alarm when a parameter deviates from the standard range; Automatic diagnosis includes automatically diagnosing the cause of the fault based on the fault detection data and providing a detailed fault report including the fault type, occurrence time, and impact range; Historical data analysis includes analyzing historical data to help identify frequent problems, provide improvement suggestions, and record historical data of all faults for easy tracking and analysis; Sound and light alarms include: when a fault or abnormality is detected, the device will issue sound and light alarms through buzzers, indicator lights, etc.; the system can remotely notify users through mobile phone applications, emails, text messages, etc. to ensure timely notification; Data processing involves using data processing algorithms to monitor the operating status of equipment in real time and identify potential problems. Long-term analysis of collected data identifies trends and patterns in operation, such as seasonal changes and cyclical fluctuations. Based on historical data and current status, it predicts potential failures and notifies users in advance of maintenance. Through in-depth data analysis, it optimizes ice-making parameters to improve efficiency and energy savings. It also analyzes user operating habits, provides personalized recommendations, and enhances the user experience. The data processing includes collecting the data recognized by the sensor and establishing a database, filtering the data in the database, and filtering the data by building a filtering algorithm model. The formula is as follows: ,in, is the function obtained after filtering, Filter the original database, is the domain operator; The data analysis includes judging the authenticity of the database data, including calculating the authenticity, ;in, Indicates the The sequence authenticity of the database data subsequence, Indicates the The data slope of the subsequence of the database is more concentrated than the data slope of the set. Indicates the The data slope of the database data subsequence is the data slope variation value of the set, represents the free number of the true measure, represents a real quantity of real measurement, Indicates the The total number of data slope ratio sets of the database data subsequences, Indicates taking the absolute value; The ice-making assembly (2) comprises an ice-making chamber (21), an ice-maker (22), a placement plate (23) and an ice-pushing portion (24); the ice-making chamber (21) is arranged in the box body (1); the ice-maker (22) is arranged along the box body (1) and the ice-maker (22) is connected to the ice-making chamber (21) for controlling the formation of ice cubes; the placement plate (23) is rotatably arranged along the ice-making chamber (21); an ice-making groove is provided on the placement plate (23); the ice-making groove is used to hold water for making ice; the ice-pushing portion (24) is arranged in the ice-making chamber (21); the ice-making chamber (21) is provided with an ice outlet; the ice outlet is used to collect and transfer ice cubes made on the placement plate (23); The ice pushing part (24) includes a vibration plate (241), a vibration motor (242) and a pushing plate (243); the vibration plate (241) is arranged in the ice making chamber (21); the vibration plate (241) is arranged above the placement plate (23) and the vibration plate (241) is hollowed out; the vibration motor (242) is arranged in the box body (1); the vibration motor (242) is connected to the vibration plate (241) and is used to drive the vibration plate (241) to vibrate and remove the ice cubes made on the placement plate (23); the pushing plate (243) is arranged at the bottom of the ice making chamber (21); the pushing plate (243) moves along the bottom of the ice making chamber (21) and removes the ice cubes removed from the placement plate (23) and transfers them to the packaging component (3) along the ice outlet for packaging; The packaging assembly (3) comprises an ice storage chamber (31), a packing plate (32) and a packing machine (33); the ice storage chamber (31) is arranged along the box body (1) and is located below the ice making chamber (21); the packing plate (32) is arranged along the ice making chamber (21) and between the ice storage chamber (31); the packing machine (33) is arranged along the packing plate (32) and seals and packs the ice cubes transferred from the ice making chamber (21); the packing plate (32) is connected to the ice storage chamber (31) and transfers the packed ice bags to the ice storage chamber (31) for frozen storage; The temperature control module includes temperature sensors installed at different key locations of the refrigeration system and monitors the temperature inside the equipment and the ice storage area in real time; A controller is provided, comprising one or more microprocessors or control chips, for receiving signals from the temperature sensor and regulating the refrigeration system according to a preset temperature range and a control algorithm; Control of the refrigeration unit includes controlling the operation of the refrigeration compressor, expansion valve, and fan assembly to adjust the refrigeration capacity and maintain the target temperature, and achieving precise temperature control based on advanced control algorithms such as PID controllers; The heating element is provided to prevent icing caused by low temperature or to perform a defrost function; The cabinet temperature setting and calibration interface is used to set the target temperature and calibrate the sensor through a control panel or interface, including displaying the current temperature, set temperature and error information; The water quality management module includes a coarse filter to remove large particles of impurities; a fine filter to remove smaller suspended particles, bacteria and viruses; The water quality detection sensors include a TDS sensor to detect the total dissolved solids content in the water to assess the water purity; a pH sensor to monitor the acidity and alkalinity of the water to ensure that the water quality is within the appropriate range; a conductivity sensor to monitor the conductivity of the water to assess the ion concentration in the water; and a temperature sensor to detect the temperature of the incoming water to ensure temperature stability during the ice making process. The water quality management module also includes removing calcium and magnesium ions in the water to prevent condensation, removing odor, chlorine and organic pollutants in the water, further purifying the water source to remove dissolved salts and tiny particles; and using ultraviolet light to eliminate bacteria and viruses in the water; Setting up a water quality management controller includes centralized monitoring and control of the operation of all water quality detection sensors and treatment equipment, adjusting the treatment process in real time to ensure that the effluent water quality is stable within the preset standards; The ice storage management module includes: User interface design, including providing an intuitive touch screen interface that displays various operating parameters and status information, supports multiple languages ​​to facilitate use by different user groups, and uses menus and icons to ensure that users can quickly find the required functions; Ice making parameter settings include providing multiple preset modes for users to choose according to their needs; allowing users to manually adjust ice making speed, water temperature, and ice size parameters; users can set a reservation time according to their needs and start the ice making process in advance to ensure sufficient ice supply when needed; Intelligent monitoring and optimization, including real-time ice-making status monitoring, monitoring temperature, humidity, compressor status, and water level parameters. Based on the current monitored conditions, the system automatically optimizes ice-making parameters to improve ice-making efficiency and ice quality. Based on historical data and the current environment, the system provides users with optimization suggestions, such as adjusting the temperature or ice-making cycle. Data analysis and reporting, including recording the parameters and results of each ice-making process to facilitate user analysis and adjustment, and regularly generating ice-making efficiency and energy consumption reports to help users understand the operation of the equipment. By analyzing historical data trends, future ice-making demand can be predicted and adjustments can be made in advance; Remote control and notifications, including remote monitoring and control of the ice maker's operating status via a mobile app or web interface. Users will be notified via SMS, email, or app when ice production is complete, a fault occurs, or the ice storage compartment is low on ice. Users can then remotely set and adjust ice-making parameters to ensure more efficient ice production when special needs arise. Energy saving and efficiency management, including real-time monitoring of the energy consumption of the equipment, providing energy-saving operation mode to reduce power consumption, automatically entering sleep mode when no ice making demand is detected, saving energy, optimizing the operating parameters of the refrigeration system, and ensuring the best ice making effect with the lowest energy consumption.

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