Refrigerated water control system and method for intelligent removal of stale water

Abstract

The application discloses a kind of intelligent refrigeration water control systems of stale water, comprising: cold water cold tank, with cold water storage cavity, the cold water storage cavity with inlet pipeline's electromagnetic valve communication, with water outlet pipeline's water pump communication, the cold water cold tank is equipped with water level detection sensor, temperature sensor, flow sensor;Refrigeration water module is connected with the cold water cold tank, and refrigeration is given to cold water storage cavity;Central processing unit is electrically connected with refrigeration water module, electromagnetic valve, water pump, water level detection sensor, temperature sensor, flow sensor, and the central processing unit is communicated with cloud end by networking module.The application discloses a kind of intelligent refrigeration water control method of stale water.The application can detect the water use condition and water use time of user in real time, determine whether the cold water cold tank has ice-cold residual water to be discharged by judging and analyzing, so as to ensure that the cold water cold tank does not leave residual water, and ensure that user drinks healthy water.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of water dispensers. More particularly, the present application relates to a system and method for automatically removing stale water from a refrigerated water dispenser. BACKGROUND

[0002] Line water dispensers, which are directly connected to a water source through a water inlet pipe and a valve, have gradually become mainstream. Refrigerated water dispensers are increasingly popular among young people and other groups, which is because the direct drinking method is very convenient. However, such water dispensers have a problem, that is, if the water dispenser is not used for a long time, the stale water in the water tank is prone to bacterial growth, affecting the health and safety of drinking water. Therefore, it is the development trend of future water dispensers to regularly or irregularly remove stale water to match the user's living drinking habits and to circulate and update the water in the water tank. SUMMARY

[0003] The present application provides a system and method for automatically removing stale water from a refrigerated water dispenser, which can detect the user's water usage and water usage time in real time, determine whether the cold water tank needs to be drained through analysis, and ensure that the cold water tank does not leave residual water and that the user drinks healthy water. According to the user's drinking habits, the residual water is automatically drained to achieve the goal of healthy drinking and energy saving and water saving.

[0004] In order to achieve these objects and other advantages in accordance with the present application, a system for automatically removing stale water from a refrigerated water dispenser is provided, comprising:

[0005] a cold water tank having a cold water storage cavity, the cold water storage cavity being in communication with an electromagnetic valve of a water inlet pipe and a water pump of a water outlet pipe, the cold water tank being provided with a water level detection sensor, a temperature sensor, and a flow sensor;

[0006] a refrigerated water module connected to the cold water tank to refrigerate the cold water storage cavity;

[0007] a central processing unit electrically connected to the refrigerated water module, the electromagnetic valve, the water pump, the water level detection sensor, the temperature sensor, and the flow sensor, the central processing unit being in communication with a cloud through a networking module.

[0008] Preferably, it further comprises:

[0009] a client APP in communication with the cloud through the networking module, the client APP controlling the opening and closing of the electromagnetic valve, the water pump, the water level detection sensor, the temperature sensor, and the flow sensor through the central processing unit.

[0010] Preferably, the refrigerated water module comprises a compressor, a condenser, an evaporator, and a heat exhaust fan, and the refrigerated water module is compatible with a voltage range of 110V-220V.

[0011] Preferably, the central processor is configured to: the temperature sensor detects the water temperature of the cold water storage cavity, when the water temperature is lower than the low temperature threshold, the refrigeration water module stops refrigeration, when the water temperature is higher than the high temperature threshold, the refrigeration water module starts refrigeration.

[0012] Preferably, the central processor is configured to: the flow sensor records the start time of drainage, the end time of drainage and the current drainage volume and uploads to the cloud to generate a water use habit curve.

[0013] Preferably, the central processor is configured to: it stores a time threshold for automatic drainage of residual water, calculates the cumulative non-drainage time, and when the cumulative non-drainage time reaches the time threshold for automatic drainage of residual water, starts the water pump to drain the residual water.

[0014] It responds to the user's residual water drainage instruction, receives the user's set time threshold for residual water drainage, calculates the cumulative non-drainage time, and when the cumulative non-drainage time reaches the user's set time threshold for residual water drainage, starts the water pump to drain the residual water.

[0015] It responds to the user's residual water drainage action and starts the water pump to drain the residual water.

[0016] Preferably, the water use habit curve includes a drinking water curve, and the central processor is configured to:

[0017] Collect the user's drinking water data, which includes: the start time of drainage recorded in response to the user's drinking water action and the current drainage volume;

[0018] Collect daily drinking water data of the month by month, obtain daily drinking water data correction values according to daily drinking water data and drinking water data of the previous and next day, generate a discrete function according to daily drinking water data correction values of the month, and obtain daily drinking water data fitting values of the month;

[0019] Collect all daily drinking water data fitting values of the season by season, obtain a seasonal data set, fit a seasonal drinking water curve, specifically: divide the data of the seasonal data set into seven groups from Monday to Sunday to obtain a plurality of data sub-sets, calculate the daily drinking volume, single drinking volume, daily drinking frequency, earliest drinking time of the day and latest drinking time of the day of each data sub-set, fit seven groups of drinking water curves from Monday to Sunday to obtain a seasonal drinking water curve.

[0020] The daily water intake is carried out by using the water consumption curve of each season, specifically: the water level sensor detects the water level of the cold water storage cavity, and the first water intake is carried out 1 hour before the fitted value at the earliest drinking time every day; when the daily water consumption fitted value exceeds the total capacity of the cold water storage cavity, the first water intake of the day is the total capacity of the cold water storage cavity; when the daily water consumption fitted value does not exceed the total capacity of the cold water storage cavity, the first water intake of the day is the daily water consumption fitted value*120%, and does not exceed the total capacity of the cold water storage cavity; when the water level sensor detects that the water level of the cold water storage cavity corresponds to a water quantity that is lower than 80% of the cold water storage cavity capacity fitted value at this time, the remaining drinking times fitted value of the day is counted, and the water intake of this time is to make the water quantity of the cold water storage cavity reach the remaining drinking times fitted value*single drinking water quantity*120%, and does not exceed the capacity of the cold water storage cavity.

[0021] Preferably, the water usage habit curve includes a drain water curve, and the central processor is configured to:

[0022] Collecting the drain water data of the user, the drain water data including: the drain start time recorded in response to the drain action of the user, the cumulative non-drain time, and the drain start time recorded in response to the instruction of the user, the cumulative non-drain time;

[0023] Collecting the drain water data of the month and the drain water data of the previous and next 15 days by month, obtaining the drain water data correction value of the month, generating a discrete function according to the drain water data correction value of the month, obtaining the drain water data fitted value of the month, and fitting the drain water curve of each month;

[0024] Using the drain water curve of each month to carry out monthly drain water, specifically: draining when the cumulative non-drain time reaches the cumulative non-drain time fitted value, and then draining at the earliest drinking time of the next day fitted value 1 hour before, and then draining again when the cumulative non-drain time reaches the cumulative non-drain time fitted value again, and no longer draining in the month.

[0025] Preferably, comprising:

[0026] The refrigerated water control system for intelligent drain water removal includes a cold water tank, a refrigerated water module, a central processor, an electromagnetic valve, a water pump, a water level detection sensor, a temperature sensor, a flow sensor, a networking module and a cloud, and further includes a client APP, and the central processor controls the opening and closing of the electromagnetic valve, the water pump, the water level detection sensor, the temperature sensor and the flow sensor;

[0027] The temperature sensor detects the water temperature of the cold water storage cavity, and when the water temperature is lower than the low temperature threshold, the refrigerated water module stops refrigeration, and when the water temperature is higher than the high temperature threshold, the refrigerated water module starts refrigeration; when the flow sensor detects drainage, the drainage start time, the drainage end time and the current drainage quantity are recorded and uploaded to the cloud;

[0028] The central processor stores a time threshold of automatic residual water drainage, calculates a cumulative residual water drainage time length, and starts the water pump to drain the residual water when the cumulative residual water drainage time length reaches the time threshold of automatic residual water drainage; the central processor receives a time threshold of residual water drainage set by the user in response to a residual water drainage instruction of the user, calculates a cumulative residual water drainage time length, and starts the water pump to drain the residual water when the cumulative residual water drainage time length reaches the time threshold of residual water drainage set by the user; and the central processor starts the water pump to drain the residual water in response to a residual water drainage action of the user.

[0029] Preferably, the central processor generates a drinking water curve, specifically including:

[0030] The central processor collects drinking water data of the user, and the drinking water data includes a residual water drainage starting time recorded in response to a drinking water action of the user and a current residual water drainage amount;

[0031] Daily drinking water data of the current month is collected by month, a daily drinking water data correction value is obtained according to the daily drinking water data and the drinking water data of the previous day and the next day, a discrete function is generated according to the daily drinking water data correction value of the current month, and a daily drinking water data fitting value of the current month is obtained;

[0032] Daily all drinking water data fitting values of the current season are collected by season, a seasonal data set is obtained, and a seasonal drinking water curve is fitted, specifically as follows: data of the seasonal data set is divided into seven groups from Monday to Sunday to obtain a plurality of data sub-sets, a daily drinking water amount, a single drinking water amount, a daily drinking water frequency, a daily earliest drinking water time and a daily latest drinking water time of each data sub-set are calculated, seven drinking water curves from Monday to Sunday are fitted to obtain, and the seasonal drinking water curve is composed of the seven drinking water curves;

[0033] Daily water is supplied by using the seasonal drinking water curve, specifically as follows: the water level sensor detects a water level of the cold water storage cavity, and first water is supplied at 1 h before the daily earliest drinking water time fitting value; when the daily drinking water amount fitting value exceeds a total capacity of the cold water storage cavity, a daily first water amount is the total capacity of the cold water storage cavity; when the daily drinking water amount fitting value does not exceed the total capacity of the cold water storage cavity, the daily first water amount is the daily drinking water amount fitting value*120%, and does not exceed the total capacity of the cold water storage cavity; when the water level of the cold water storage cavity detected by the water level sensor in real time corresponds to a water amount that is less than 80% of the cold water storage cavity capacity fitting value at the time, a remaining drinking water frequency fitting value of the day is counted, and a current water amount is such that the water amount of the cold water storage cavity reaches the remaining drinking water frequency fitting value of the day*single drinking water amount*120%, and does not exceed the total capacity of the cold water storage cavity;

[0034] The central processor also generates a residual water drainage curve, specifically including:

[0035] Collecting the user's residual water data, the residual water data comprising: recording the water discharge starting time in response to the user's residual water action, the cumulative non-drainage time, and recording the water discharge starting time in response to the user's instruction, the cumulative non-drainage time;

[0036] Collecting the residual water data of the month and the residual water data of the previous and next 15 days by month, obtaining the residual water data correction value of the month, generating a discrete function according to the residual water data correction value of the month, obtaining the residual water data fitting value of the month, and fitting to obtain the residual water curve of each month;

[0037] The residual water of each month is carried out by using the residual water curve of each month, specifically: draining when the cumulative non-drainage time reaches the cumulative non-drainage time fitting value, and draining 1h before the fitting value of the earliest drinking water time of the next day when the cumulative non-drainage time reaches the cumulative non-drainage time fitting value again, and no longer draining in the month.

[0038] The present application at least includes the following beneficial effects:

[0039] Firstly, the present application can determine whether the cold water tank needs to drain the ice-cold residual water by using the real-time intelligent algorithm to analyze the real-time detection of the user's water use and water use time through the built-in flow sensor, water level sensor and temperature sensor, and the central processor and cloud communication, so as to ensure that the cold water tank does not leave residual water and ensure the user's healthy drinking water.

[0040] Secondly, the present application can set the time of automatic residual water drainage by default, and the default residual water drainage time threshold T m , so as to ensure that the cold water tank does not leave residual water and ensure the user's healthy drinking water;

[0041] Thirdly, in order to meet the needs of different users, the present application can also be used to customize the residual water drainage time, and the user-set residual water drainage time threshold T x , so as to realize water and electricity saving and achieve the goal of energy saving, environmental protection and saving;

[0042] Fourthly, in order to ensure personalized needs and meet the goal of draining when needed, the present application can also manually drain the residual water of the cold water tank, and the system will drain the residual water in real time after the user manually operates, so as to ensure the goal of draining when needed and realize healthy self-management;

[0043] Fifthly, the present application can generate a water use habit curve, including a drinking water curve and a residual water curve, and can match the user's drinking water habit and drainage habit to automatically drain water, which can realize electricity and water saving as much as possible, realize energy saving, green and health.

[0044] Additional advantages, objects, and features of the application will be apparent from the following description, taken in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0045] Figure 1 A schematic diagram of a refrigeration water control system for intelligent stale water removal according to the present application;

[0046] Figure 2 A flowchart of a technical solution of a refrigeration water control method for intelligent stale water removal according to the present application;

[0047] Figure 3 A flowchart of another technical solution of a refrigeration water control method for intelligent stale water removal according to the present application. DETAILED DESCRIPTION

[0048] The present application will be further described below in conjunction with the accompanying drawings so that those skilled in the art can carry out the present application according to the description in the specification and drawings.

[0049] It should be understood that the terms such as "have", "contain", and "include" used herein do not exclude the presence or addition of one or more other elements or combinations thereof.

[0050] It should be noted that the experimental methods described in the following embodiments are all conventional methods unless otherwise specified, and the reagents and materials can be obtained from commercial channels unless otherwise specified. In the description of the present application, it should be noted that unless otherwise explicitly specified and limited, the terms "mount", "connect", "set" should be understood broadly, for example, they can be fixedly connected, set, or detachably connected, set, or integrally connected, set. For those skilled in the art, the specific meanings of the above terms in the present application can be understood according to the specific circumstances.

[0051] As shown in Figure 1 The present application provides a refrigeration water control system for intelligent stale water removal, comprising:

[0052] A cold water cold tank having a cold water storage cavity for storing cold water, with a capacity R of R min -R max , preferably R min ≥ 0.5L, R maxThe cold water storage cavity is communicated with the electromagnetic valve of the water inlet pipeline and the water pump of the water outlet pipeline, the cold water tank is provided with a water level detection sensor, a temperature sensor and a flow sensor, the water level detection sensor is preferably arranged at the top of the cold water tank and detects the water level of the cold water tank, and is a float switch or a liquid level detection probe, the temperature sensor is preferably an NTC temperature sensor arranged at the bottom of the cold water tank and detects the water temperature of the cold water storage cavity in the cold water tank, and the flow sensor is preferably arranged at the end of the water outlet pipeline and detects the water outlet in real time.

[0053] The refrigerated water module is connected with the cold water tank in a physical connection manner, and refrigerates the cold water storage cavity, and the refrigerated water module comprises a compressor, a condenser, an evaporator and a heat exhaust fan, and is compatible with a voltage range of 110V-220V;

[0054] A central processor is electrically connected with the refrigerated water module, the electromagnetic valve, the water pump, the water level detection sensor, the temperature sensor and the flow sensor, the electromagnetic valve can be opened or closed through the central processor, the water pump can be opened or closed through the central processor, the temperature sensor can be opened or closed through the central processor, when the water temperature is lower than a low temperature threshold T min , the refrigerated water module stops refrigeration, when the water temperature is higher than a high temperature threshold T max , the refrigerated water module starts refrigeration, the flow sensor can be opened or closed through the central processor, when the water is discharged, the central processor records the time (time and duration) of water discharge and reads the water volume of each continuous water discharge, the central processor communicates with the cloud through a networking module, the networking module is a WIFI module or a 2G / 3G / 4G / 5G module, can be connected to the cloud through a router or directly connected to the cloud, and the WIFI module is preferred. The central processor realizes detection of the temperature of the cold water tank, detection of the water discharge flow, detection of the water level of the cold tank and communication with the networking module, and controls the electromagnetic valve, the water pump and the refrigeration module.

[0055] In the above technical solution, the refrigerated water module is used to refrigerate water, the built-in flow sensor, water level sensor and temperature sensor are used for multi-directional judgment and real-time detection of the water use condition and water use time of the user, the central processor is used for communication with the cloud, real-time intelligent algorithm is used for judgment and analysis, so that it is determined whether the cold water tank has residual ice-cold water to be discharged, the cold water tank is ensured to have no residual water, and the user's health is ensured.

[0056] In another technical solution, the following steps are further included:

[0057] The client APP communicates with the cloud through the networking module, and the opening and closing of the electromagnetic valve, the water pump, the water level detection sensor, the temperature sensor and the flow sensor are controlled by the central processor. The APP is a software application installed on an Android or IOS terminal, which can register users, access devices, bind and interact information and manage devices through scanning the two-dimensional code of the product device end through the cloud interface. Further, the central processor is controlled to facilitate the application of the water level detection sensor, the temperature sensor and the flow sensor, and the control of the electromagnetic valve, the water pump and the refrigeration module.

[0058] In another technical solution, the central processor is configured to record the start time of drainage, the end time of drainage and the drainage volume of this time and upload to the cloud to generate a water usage habit curve.

[0059] To ensure personalized needs and meet the goal of draining when needed, the application can also manually drain the cold water tank stale water. After the user manually operates, the system will drain the stale water in real time to ensure the goal of draining when needed and realize healthy self-management.

[0060] In another technical solution, as shown in Figures 2-3 the central processor is configured to store a time threshold for automatic drainage of stale water, and when the cumulative non-drainage duration reaches the time threshold for automatic drainage of stale water, the water pump is started to drain the stale water. The application can default the time for automatic drainage of stale water, and the default time threshold T m for automatic drainage of stale water ensures that the cold water tank does not have stale water and ensures the health of the user's drinking water.

[0061] The central processor responds to the user's drainage instruction of stale water, receives the user's set time threshold for drainage of stale water, and when the cumulative non-drainage duration reaches the user's set time threshold for drainage of stale water, the water pump is started to drain the stale water. To meet the needs of different users, the application can also allow the user to customize the time for drainage of stale water, and the user's set time threshold T x for drainage of stale water can achieve water and electricity saving and achieve the goal of energy saving, environmental protection and saving.

[0062] The central processor responds to the user's drainage action of stale water, and starts the water pump to drain the stale water. Manual drainage of the cold tank stale water, after the user manually operates, the system will drain the cold tank stale water in real time to ensure the goal of draining when needed and realize healthy self-management.

[0063] In one specific example, the specific steps include:

[0064] 1. Determine whether there is ice water drainage through the flow sensor.

[0065] 2. If so, record the relevant data of the drainage in real time, including the drainage volume Q of continuous drainage through the flow sensorp and the start time T of drainage s1 the end time T j1 By recording the amount of drainage Q p and the start time T of drainage s1 the end time T j1 , the user's water usage habit curve can be generated.

[0066] 3, and through the networking module, the amount of drainage Q p and the start time T of drainage s1 the end time T j1 are uploaded to the cloud.

[0067] 4, the time T of automatic drainage of residual water each time p is T m by default, T p = T m , which is recorded in the FLASH memory of the MCU. T m is

T P1 , T P2

[0068] 5, calculate the cumulative time T d of un-drained water; if there is drainage, and the amount of drainage is greater than or equal to Q m , T d is cleared.

[0069] 6, whether the central processor has received T x , if so, T p = T x , T x is the drainage time value set by the user, T x can be any value. For example, 365 days, to ensure that the user is away for a long time and does not want the cold water machine to automatically drain continuously, so as to achieve water and electricity saving.

[0070] 7, judge T d >= T p ?

[0071] 8, if so, start automatic drainage of residual water in the cold tank;

[0072] In this example, through intelligent control, the user's health drinking water is ensured, and automatic drainage of residual water in the cold tank is realized; through IOT technology, the user can customize the time of draining residual water, meet the actual needs of individual users, and save electricity and water as much as possible; in addition, it also includes manual drainage of residual water in the cold tank operation and function, to realize manual drainage of residual water in the cold tank, and realize the goal of draining when the user wants to drain. The method of the present application is energy-saving, green, healthy, intelligent and humanized.

[0073] In another technical solution, the water usage habit curve includes a drinking water curve, and the central processor is configured to:

[0074] collect drinking water data of the user, the drinking water data including a water discharge start time recorded in response to a drinking water action of the user and a current water discharge amount;

[0075] collect daily drinking water data of the month by month, obtain a daily drinking water data correction value according to the daily drinking water data and the drinking water data of the previous and next days, generate a discrete function according to the daily drinking water data correction value of the month, and obtain a daily drinking water data fitting value of the month;

[0076] collect all daily drinking water data fitting values of the season by season, obtain a seasonal data set, and fit a seasonal drinking water curve, specifically, divide the data of the seasonal data set into seven groups from Monday to Sunday to obtain a plurality of data sub-sets, calculate a daily drinking water amount, a single drinking water amount, a daily drinking water frequency, a daily earliest drinking water time, and a daily latest drinking water time of each data sub-set, fit seven drinking water curves from Monday to Sunday to obtain a seasonal drinking water curve;

[0077] use the seasonal drinking water curve to perform daily water feeding, specifically, the water level sensor detects a water level of the cold water storage cavity, and first water feeding is performed at 1 hour before the daily earliest drinking water time fitting value; when the daily drinking water amount fitting value exceeds a total capacity of the cold water storage cavity, a daily first water feeding amount is the total capacity of the cold water storage cavity; when the daily drinking water amount fitting value does not exceed the total capacity of the cold water storage cavity, the daily first water feeding amount is the daily drinking water amount fitting value*120%, and does not exceed the total capacity of the cold water storage cavity; when the water level of the cold water storage cavity detected by the water level sensor in real time corresponds to a water amount that is less than 80% of the cold water storage cavity capacity fitting value at the time, a remaining daily drinking water frequency fitting value is counted, and a current water feeding amount is such that the water amount of the cold water storage cavity reaches the remaining daily drinking water frequency fitting value*single drinking water amount*120%, and does not exceed the total capacity of the cold water storage cavity.

[0078] In another technical solution, the water usage habit curve includes a standing water discharge curve, and the central processor is configured to:

[0079] collect standing water discharge data of the user, the standing water discharge data including a water discharge start time recorded in response to a standing water discharge action of the user, a cumulative water discharge time, and a water discharge start time and a cumulative water discharge time recorded in response to an instruction of the user;

[0080] collect the standing water discharge data of the month and the standing water discharge data of the previous and next 15 days by month, obtain a monthly standing water discharge data correction value, generate a discrete function according to the monthly standing water discharge data correction value, obtain a monthly standing water discharge data fitting value, and fit a monthly standing water discharge curve;

[0081] The monthly discharge of retained water is carried out by using the monthly discharge of retained water curve, specifically, when the cumulative non-discharge time length reaches the cumulative non-discharge time length fitting value, water is discharged, and the next day, water is added 1 hour before the earliest drinking water time fitting value, when the cumulative non-discharge time length again reaches the cumulative non-discharge time length fitting value, water is again discharged, and no water is added for the month.

[0082] The number of devices and the scale of processing described herein are intended to be illustrative of the application. Applications, modifications and variations of the application will be apparent to those skilled in the art.

[0083] Although embodiments of the application have been disclosed in connection with the specified embodiments, it should be understood that they can be applied in various fields of endeavor, and that there exist additional modifications which are apparent to those skilled in the art. Therefore, to the extent that the drawings and descriptions contain specificities, these should not serve to constrain the applicant's claims to the precise embodiments disclosed, but in fact, should serve to define the general concepts of the application.

Claims

1. A chilled water control system for intelligent stale water removal, characterized by, The application relates to a cold water cooling tank, a refrigerated water module, a central processing unit and a client APP. The cold water cooling tank has a cold water storage cavity which is communicated with an electromagnetic valve of a water inlet pipeline and a water pump of a water outlet pipeline, and is provided with a water level detection sensor, a temperature sensor and a flow sensor. The refrigerated water module is connected with the cold water cooling tank and refrigerates the cold water storage cavity. The central processing unit is electrically connected with the refrigerated water module, the electromagnetic valve, the water pump, the water level detection sensor, the temperature sensor and the flow sensor, and communicates with a cloud end through a networking module. The central processing unit is arranged to record the water discharge start time, the water discharge end time and the current water discharge volume and upload them to the cloud end to generate a water use habit curve. The water use habit curve includes a drinking water curve. The central processing unit is arranged to collect drinking water data of a user, the drinking water data including the water discharge start time and the current water discharge volume recorded in response to the drinking water action of the user. The central processing unit is arranged to collect daily drinking water data of the current month, obtain a daily drinking water data correction value according to the daily drinking water data and the drinking water data of the previous day and the next day, generate a discrete function according to the daily drinking water data correction value of the current month, and obtain a daily drinking water data fitting value of the current month. The central processing unit is arranged to collect all daily drinking water data fitting values of the current season, obtain a seasonal data set, fit a seasonal drinking water curve, and specifically divide the data of the seasonal data set into seven groups from Monday to Sunday to obtain a plurality of data sub-sets, calculate the daily drinking water volume, the single drinking water volume, the daily drinking water times, the earliest drinking water time and the latest drinking water time of each data sub-set, fit seven drinking water curves from Monday to Sunday to form the seasonal drinking water curve. The central processing unit is arranged to use the seasonal drinking water curve to control the water inlet, and specifically, the water level detection sensor detects the water level of the cold water storage cavity, and the first water inlet is performed one hour before the earliest drinking water time of the day; when the daily drinking water volume fitting value exceeds the total capacity of the cold water storage cavity, the first water inlet of the day is the total capacity of the cold water storage cavity; when the daily drinking water volume fitting value does not exceed the total capacity of the cold water storage cavity, the first water inlet of the day is the daily drinking water volume fitting value multiplied by 120%, and does not exceed the total capacity of the cold water storage cavity; when the water level detection sensor detects that the water volume corresponding to the water level of the cold water storage cavity is less than 80% of the water capacity fitting value of the cold water storage cavity at the time, the remaining drinking water times fitting value of the day is counted, and the current water inlet is performed to make the water volume of the cold water storage cavity reach the remaining drinking water times fitting value multiplied by the single drinking water volume multiplied by 120%, and does not exceed the total capacity of the cold water storage cavity.

2. The chilled water control system of claim 1, wherein the controller is configured to determine the amount of time the water in the tank has been stored based on a time of day and a temperature of the water in the tank. The client APP communicates with the cloud end through the networking module, and controls the opening and closing of the electromagnetic valve, the water pump, the water level detection sensor, the temperature sensor and the flow sensor through the central processing unit. The refrigerated water module includes a compressor, a condenser, an evaporator and a heat exhaust fan, and is compatible with a voltage range of 110V-220V.

3. The chilled water control system of claim 1, wherein the controller is configured to determine the amount of time the water in the tank has been stored based on a time of day and a temperature of the water in the tank. The central processing unit is arranged to detect the water temperature of the cold water storage cavity through the temperature sensor, stop the refrigerated water module when the water temperature is lower than a low temperature threshold, and start the refrigerated water module when the water temperature is higher than a high temperature threshold.

4. The chilled water control system of claim 1, wherein the controller is configured to determine the amount of time the water in the tank has been stored based on a time of day and a temperature of the water in the tank. ​ 5. The chilled water control system of claim 1, wherein the controller is configured to determine the amount of fresh water to be added to the tank based on a volume of water removed from the tank during the previous period of time. The central processor is configured to store a time threshold for automatic standing water drainage, calculate accumulated standing water drainage time, and start the water pump to drain standing water when the accumulated standing water drainage time reaches the time threshold for automatic standing water drainage. The central processor is configured to receive a time threshold for standing water drainage set by the user, calculate accumulated standing water drainage time, and start the water pump to drain standing water when the accumulated standing water drainage time reaches the time threshold for standing water drainage set by the user. The central processor is configured to start the water pump to drain standing water in response to a user action.

6. The chilled water control system of claim 1, wherein the controller is configured to determine the amount of time the water in the tank has been stored based on a time of day and a temperature of the water in the tank. The water usage habit curve includes a standing water drainage curve, and the central processor is configured to: Collect standing water drainage data of the user, including a standing water drainage start time recorded in response to a user action, accumulated standing water drainage time, and a standing water drainage start time recorded in response to a user instruction, and accumulated standing water drainage time; Collect standing water drainage data of the current month and standing water drainage data of the previous and next 15 days by month, obtain a standing water drainage data correction value of the current month, generate a discrete function based on the standing water drainage data correction value of the current month, obtain a standing water drainage data fitting value of the current month, and fit a standing water drainage curve of each month; Drain standing water each month using the standing water drainage curve of each month, specifically, drain water when the accumulated standing water drainage time reaches the accumulated standing water drainage time fitting value, and fill water at the earliest drinking water time fitting value minus 1 hour the next day, drain water again when the accumulated standing water drainage time reaches the accumulated standing water drainage time fitting value again, and do not fill water in the current month.

7. The chilled water control method of claim 1-6, wherein, It comprises: A refrigerated water control system for intelligent standing water removal, which comprises a cold water tank, a refrigerated water module, a central processor, a solenoid valve, a water pump, a water level detection sensor, a temperature sensor, a flow sensor, a networking module, and a cloud, and further comprises a client APP, and the central processor controls the opening and closing of the solenoid valve, the water pump, the water level detection sensor, the temperature sensor, and the flow sensor; The temperature sensor detects the water temperature of the cold water storage cavity, the refrigerated water module stops refrigeration when the water temperature is lower than a low temperature threshold, and the refrigerated water module starts refrigeration when the water temperature is higher than a high temperature threshold; the flow sensor detects water drainage, records the water drainage start time, the water drainage end time, and the current water drainage volume, and uploads them to the cloud; The central processor stores a time threshold for automatic standing water drainage, calculates accumulated standing water drainage time, and starts the water pump to drain standing water when the accumulated standing water drainage time reaches the time threshold for automatic standing water drainage; the central processor receives a time threshold for standing water drainage set by the user, calculates accumulated standing water drainage time, and starts the water pump to drain standing water when the accumulated standing water drainage time reaches the time threshold for standing water drainage set by the user; and the central processor starts the water pump to drain standing water in response to a user action.

8. The chilled water control method of claim 7, wherein the step of determining the amount of fresh water to be added to the tank is performed by the controller. The central processor generates a drinking water curve, specifically including: The central processor collects drinking water data of the user, including a standing water drainage start time recorded in response to a user action, and the current water drainage volume; Collect daily drinking water data of the month by month, obtain daily drinking water data correction value according to daily drinking water data and drinking water data of the previous and next day, generate discrete function according to daily drinking water data correction value of the month, and obtain daily drinking water data fitting value of the month; Collect daily drinking water data fitting value of the season by season, obtain seasonal data set, and fit seasonal drinking water curve, specifically: divide data of the seasonal data set into seven groups from Monday to Sunday to obtain each data sub-set, calculate daily drinking water volume, single drinking water volume, daily drinking water frequency, daily earliest drinking water time and daily latest drinking water time of each data sub-set, fit seven drinking water curves from Monday to Sunday to form the seasonal drinking water curve; Use the seasonal drinking water curve to perform daily water feeding, specifically: the water level detection sensor detects the water level of the cold water storage cavity, and feeds water for the first time at 1 hour before the daily earliest drinking water time fitting value; when the daily drinking water volume fitting value exceeds the total capacity of the cold water storage cavity, the first daily water feeding amount is the total capacity of the cold water storage cavity, and when the daily drinking water volume fitting value does not exceed the total capacity of the cold water storage cavity, the first daily water feeding amount is the daily drinking water volume fitting value*120% and does not exceed the total capacity of the cold water storage cavity; when the water level detection sensor detects that the water amount corresponding to the water level of the cold water storage cavity is lower than 80% of the cold water storage cavity capacity fitting value at this time, count the remaining daily drinking water frequency fitting value, and the current water feeding amount is to make the water amount of the cold water storage cavity reach the remaining daily drinking water frequency fitting value*single drinking water volume*120% and not exceed the capacity of the cold water storage cavity; The central processor also generates a drain curve, specifically including: Collect user drain data, including: drain start time recorded in response to user drain action, cumulative non-drain time, and drain start time recorded in response to user instruction, cumulative non-drain time; Collect monthly drain data and drain data of the previous and next 15 days, obtain monthly drain data correction value, generate discrete function according to monthly drain data correction value, obtain monthly drain data fitting value, and fit monthly drain curve; Use the monthly drain curve to perform monthly drain, specifically: drain when the cumulative non-drain time reaches the cumulative non-drain time fitting value, and feed water at 1 hour before the next day's earliest drinking water time fitting value; when the cumulative non-drain time reaches the cumulative non-drain time fitting value again, drain again, and do not feed water in the month.

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