Intelligent monitoring and reminding device and method for drinking water

Abstract

The invention discloses an intelligent drinking water monitoring and reminding device and method. The device comprises a water volume calculation module, a physiological parameter measurement module and a drinking water reminding judgment module. The water volume calculation module is used for measuring water volume information of a water cup of a cared user and calculating the water volume information in a period of time to obtain a drinking water value of the user in unit time; the physiological parameter measurement module is used for measuring physiological parameters of a cared user to obtain a user physiological parameter set, and sending the user physiological parameter set to the water drinking reminding judgment module; and the water drinking reminding judgment module is connected with the water volume calculation module and the physiological parameter measurement module and is used for judging the water drinking value of the user in unit time and the physiological parameter set of the user to obtain water drinking reminding information. According to the invention, the body physiological characteristics of the user are fully utilized, and the accuracy and timeliness of water drinking reminding are realized.

Description

Technical Field

[0001] The present invention relates to the field of smart homes, and in particular to a method and device for intelligently monitoring and reminding drinking water. Background Art

[0002] Scientific drinking water can prevent and treat cardiovascular and cerebrovascular diseases, indigestion, and constipation; it is beneficial for relieving cough and expectoration, protecting kidney function, anti-aging, preventing cancer and preventing cataracts.

[0003] For the elderly and other groups, due to the decline of their physiological functions, the water content in their bodies will gradually decrease, which often cannot meet the needs of physiological activities. Due to the lack of body fluids, blood flow will be slow, metabolic products will accumulate, and gas exchange will be insufficient, which is extremely detrimental to health and longevity. At the same time, on the one hand, the elderly are reluctant to drink water due to their inconvenience in movement, and on the other hand, the people being cared for are insensitive to the feeling of thirst and gradually develop chronic dehydration. It is worth noting that various organs and their metabolic functions of the elderly are constantly declining. Long-term dislike of drinking water or insufficient drinking of water will accelerate the decline of their organ functions. Therefore, how to study the corresponding drinking water reminder device according to the characteristics of the cared users and realize accurate reminders for the cared users to drink water is a problem that needs to be solved urgently.

[0004] For current drinking reminder devices, the common practice is to install a Bluetooth chip on the drinking device, control the Bluetooth chip through mobile phone software to set the drinking time and frequency, and remind at the specified time. This reminder method does not utilize the user's physical physiological characteristics and lacks accuracy and timeliness of drinking reminders. Summary of the invention

[0005] The present invention mainly solves the problem of how to study corresponding drinking water reminder devices according to the physiological characteristics of users and realize accurate drinking water reminders for users such as the elderly. The present invention discloses a drinking water intelligent monitoring reminder method and device.

[0006] In a first aspect of the embodiment of the present application, a drinking water intelligent monitoring reminder device is disclosed, comprising: a water volume calculation module, a physiological parameter measurement module, and a drinking water reminder determination module;

[0007] The water volume calculation module is used to measure the water volume information of the water cup of the cared user, calculate and process the water volume information within a period of time, and obtain the user's drinking water value per unit time;

[0008] The physiological parameter measurement module is used to measure and process the physiological parameters of the cared user to obtain a set of user physiological parameters, and send the set of user physiological parameters to the water drinking reminder determination module;

[0009] The water drinking reminder identification module is connected to the water volume calculation module and the physiological parameter measurement module respectively, and is used to identify and process the user's water drinking value per unit time and the user's physiological parameter set to obtain water drinking reminder information.

[0010] The water volume calculation module includes a pressure sensor, a microprocessor and a wireless communication submodule; the pressure sensor is arranged at the bottom of the water cup of the cared user, and is used to measure the bottom pressure of the water cup of the cared user according to a preset discrete time sequence to obtain a pressure measurement value sequence;

[0011] The microprocessor is connected to the pressure sensor and the wireless communication submodule respectively, and is used to obtain a pressure difference by subtracting a pressure measurement value at the end of a period of time from a pressure measurement value at the start of a period of time, and determine the water drinking value per unit time of the user according to the pressure difference;

[0012] The wireless communication submodule is used to send the user's water drinking value per unit time to the water drinking reminder determination module.

[0013] The physiological parameter measurement module includes a body temperature sensor, a blood pressure sensor, a pulse sensor, a blood oxygen saturation sensor and a communication submodule;

[0014] The communication submodule is connected to the body temperature sensor, the blood pressure sensor, the pulse sensor and the blood oxygen saturation sensor respectively, and is used to send the user physiological parameter set to the drinking water reminder discrimination module;

[0015] The body temperature sensor is used to measure and obtain a body temperature measurement sequence of the user being cared for;

[0016] The blood pressure sensor is used to measure and obtain a blood pressure measurement sequence of the user being cared for;

[0017] The pulse sensor is used to measure and obtain a pulse measurement sequence of the user being cared for;

[0018] The blood oxygen saturation sensor is used to measure and obtain a blood oxygen saturation measurement sequence of the user being cared for.

[0019] The drinking water reminder determination module is used to determine whether the drinking water value per unit time of the user is greater than a preset drinking water threshold value, and obtain a first determination result;

[0020] If the first discrimination result is greater than, in a subsequent period of time, the first discrimination model is used to discriminate the user's physiological parameter set to obtain drinking water reminder information;

[0021] If the first discrimination result is not greater than, in a subsequent period of time, the second discrimination model is used to discriminate the user's physiological parameter set to obtain drinking water reminder information.

[0022] The method of using the first discriminant model to discriminate the user's physiological parameter set to obtain drinking water reminder information includes:

[0023] Obtaining a set of standard physiological parameters of the user; the set of standard physiological parameters of the user includes a sequence of standard values ​​of body temperature, blood pressure, pulse and blood oxygen saturation;

[0024] The user standard physiological parameter set and the user physiological parameter set are represented as a standard matrix and an acquisition matrix respectively; the row vector of the standard matrix is ​​a standard value sequence of body temperature, blood pressure, pulse and blood oxygen saturation; the row vector of the acquisition matrix includes a user body temperature measurement sequence, a user blood pressure measurement sequence, a user pulse measurement sequence, and a user blood oxygen saturation measurement sequence;

[0025] Perform correlation calculation on the acquisition matrix and the standard matrix to obtain a correlation vector;

[0026] For each standard value sequence of the standard matrix, the corresponding average value is calculated respectively;

[0027] For each physiological parameter measurement sequence in the acquisition matrix, calculate the absolute value of the difference between its element and the average value of the corresponding standard value sequence, and determine the absolute value of the difference as the offset of the element;

[0028] For each measurement sequence of the physiological parameter in the acquisition matrix, find the element with the maximum offset, and determine the sequence number value of the element in the measurement sequence of the physiological parameter as the deviation sequence number value of the measurement sequence of the physiological parameter;

[0029] The deviation sequence values ​​of the measurement sequences of all physiological parameters are used to perform weighted summation with the associated vector to obtain the drinking water urgency assessment value;

[0030] Determine whether the drinking water urgency assessment value is greater than a set first urgency threshold. If so, set the drinking water reminder information to indicate that drinking water is required; if not, set the drinking water reminder information to indicate that drinking water is not required.

[0031] The method of using the second discriminant model to discriminate the user's physiological parameter set to obtain drinking water reminder information includes:

[0032] The user physiological parameter set is represented as an acquisition matrix; the row vector of the acquisition matrix is ​​a user body temperature measurement sequence, a user blood pressure measurement sequence, a user pulse measurement sequence and a user blood oxygen saturation measurement sequence;

[0033] Performing feature fitting processing on the acquisition matrix to obtain a weighted vector and a user physiological parameter approximation model;

[0034] In the measurement sequence of each physiological parameter in the acquisition matrix, determine the sequence number of the element with the largest absolute difference from the median value of the measurement sequence as the characteristic sequence number of the measurement sequence;

[0035] The weighted vector is used to perform weighted summation on the characteristic sequence values ​​of all measurement sequences to obtain the total characteristic sequence value;

[0036] The total feature sequence number value is used as input, and a user physiological parameter approximation model is used for calculation and processing to obtain a drinking water urgency evaluation value; it is determined whether the drinking water urgency evaluation value is greater than a set second urgency threshold value, if it is greater than the set second urgency threshold value, the drinking water reminder information is set to need to drink water, if it is not greater than the set second urgency threshold value, the drinking water reminder information is set to not need to drink water.

[0037] The performing feature fitting processing on the acquisition matrix to obtain a weighted vector and a user physiological parameter approximation model includes:

[0038] Decomposing the acquisition matrix to obtain a left decomposition matrix, a feature matrix and a right decomposition matrix;

[0039] The decomposition process is calculated as follows:

[0040] Y=UAV,

[0041] Among them, U is the left decomposition matrix, Y is the acquisition matrix, A is the feature matrix, V is the right decomposition matrix, U and V are both orthogonal matrices, and A is a diagonal matrix;

[0042] Extracting the diagonal elements of the feature matrix to obtain a feature vector; using the feature vector as a weighted vector;

[0043] Linear fitting processing is performed on the elements and element sequence values ​​of the feature vector to obtain an approximate model of the user's physiological parameters.

[0044] In a second aspect of the embodiment of the present application, a drinking water intelligent monitoring reminder method is disclosed, which is implemented by using the drinking water intelligent monitoring reminder device, including:

[0045] S1, using the water volume calculation module to measure the water volume information of the water cup of the cared user, and calculate and process the water volume information within a period of time to obtain the user's drinking water value per unit time;

[0046] S2, using the physiological parameter measurement module to measure and process the physiological parameters of the cared user, obtain a set of user physiological parameters, and send the set of user physiological parameters to a drinking water reminder determination module;

[0047] S3, using the water drinking reminder identification module to identify the water drinking value per unit time of the user and the set of physiological parameters of the user to obtain water drinking reminder information.

[0048] The drinking water reminder identification module is used to identify and process the drinking water value per unit time of the user and the set of physiological parameters of the user to obtain drinking water reminder information, including:

[0049] Determine whether the user's drinking water value per unit time is greater than a preset drinking water threshold, and obtain a first determination result;

[0050] If the first discrimination result is greater than, in a subsequent period of time, the first discrimination model is used to discriminate the user's physiological parameter set to obtain drinking water reminder information;

[0051] If the first discrimination result is not greater than, in a subsequent period of time, the second discrimination model is used to discriminate the user's physiological parameter set to obtain drinking water reminder information.

[0052] The method of using the first discriminant model to discriminate the user's physiological parameter set to obtain drinking water reminder information includes:

[0053] Obtaining a set of standard physiological parameters of the user; the set of standard physiological parameters of the user includes a sequence of standard values ​​of body temperature, blood pressure, pulse and blood oxygen saturation;

[0054] The user standard physiological parameter set and the user physiological parameter set are represented as a standard matrix and an acquisition matrix respectively; the row vector of the standard matrix is ​​a standard value sequence of body temperature, blood pressure, pulse and blood oxygen saturation; the row vector of the acquisition matrix includes a user body temperature measurement sequence, a user blood pressure measurement sequence, a user pulse measurement sequence, and a user blood oxygen saturation measurement sequence;

[0055] Perform correlation calculation on the acquisition matrix and the standard matrix to obtain a correlation vector;

[0056] For each standard value sequence of the standard matrix, an average value is calculated;

[0057] For each physiological parameter measurement sequence in the acquisition matrix, calculate the absolute value of the difference between its element and the average value of the corresponding standard value sequence, and determine the absolute value of the difference as the offset of the element;

[0058] For each measurement sequence of the physiological parameter in the acquisition matrix, find the element with the maximum offset, and determine the sequence number value of the element in the measurement sequence of the physiological parameter as the deviation sequence number value of the measurement sequence of the physiological parameter;

[0059] The deviation sequence values ​​of the measurement sequences of all physiological parameters are used to perform weighted summation with the associated vector to obtain the drinking water urgency assessment value;

[0060] Determine whether the drinking water urgency assessment value is greater than a set first urgency threshold. If so, set the drinking water reminder information to indicate that drinking water is required; if not, set the drinking water reminder information to indicate that drinking water is not required.

[0061] The beneficial effects of the present invention are:

[0062] The present invention achieves quantitative analysis of the user's dehydration degree by establishing a quantitative relationship model between physiological common sense such as body temperature, blood pressure, pulse and blood oxygen saturation and the user's dehydration index, thereby greatly improving the accuracy of dehydration analysis.

[0063] The present invention represents the physiological parameter collection data in matrix form, adopts matrix algorithm to process the data, improves the processing efficiency, obtains the correlation vector by performing correlation calculation on the collection matrix and the standard matrix, uses the deviation sequence value of the measurement sequence of all physiological parameters, and performs weighted summation with the correlation vector to obtain the drinking water urgency assessment value, thereby ensuring the accuracy of the calculation of the drinking water urgency assessment value. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 It is a flow chart for implementing the method of the present invention. DETAILED DESCRIPTION

[0065] In order to better understand the content of the present invention, an embodiment is given here.

[0066] Figure 1 It is a flow chart for implementing the method of the present invention.

[0067] In order to solve the problem of how to accurately remind elderly people and other users to drink water, the present invention discloses a method and device for intelligent monitoring and reminding of drinking water.

[0068] In a first aspect of the embodiment of the present application, a drinking water intelligent monitoring reminder device is disclosed, comprising: a water volume calculation module, a physiological parameter measurement module, and a drinking water reminder determination module;

[0069] The water volume calculation module is used to measure the water volume information of the water cup of the cared user, calculate and process the water volume information within a period of time, and obtain the user's drinking water value per unit time;

[0070] The physiological parameter measurement module is used to measure and process the physiological parameters of the cared user, obtain a set of user physiological parameters, and send the set of user physiological parameters to the water drinking reminder determination module;

[0071] The drinking water reminder identification module is connected to the water volume calculation module and the physiological parameter measurement module respectively, and is used to identify and process the user's drinking water value per unit time and the user's physiological parameter set to obtain drinking water reminder information;

[0072] The water volume calculation module includes a pressure sensor, a microprocessor and a wireless communication submodule; the pressure sensor is arranged at the bottom of the water cup of the cared user, and is used to measure the bottom pressure of the water cup of the cared user according to a preset discrete time sequence to obtain a pressure measurement value sequence;

[0073] The microprocessor is connected to the pressure sensor and the wireless communication submodule respectively, and is used to obtain a pressure difference by subtracting a pressure measurement value at the end of a period of time from a pressure measurement value at the start of a period of time, and determine the water drinking value per unit time of the user according to the pressure difference;

[0074] The wireless communication submodule is used to send the user's drinking water value per unit time to the drinking water reminder determination module;

[0075] The physiological parameter measurement module includes a body temperature sensor, a blood pressure sensor, a pulse sensor, a blood oxygen saturation sensor and a communication submodule;

[0076] The communication submodule is connected to the body temperature sensor, the blood pressure sensor, the pulse sensor and the blood oxygen saturation sensor respectively, and is used to send the user physiological parameter set to the drinking water reminder discrimination module;

[0077] The body temperature sensor is used to measure and obtain a body temperature measurement sequence of the user being cared for;

[0078] The blood pressure sensor is used to measure and obtain a blood pressure measurement sequence of the user being cared for;

[0079] The pulse sensor is used to measure and obtain a pulse measurement sequence of the user being cared for;

[0080] The blood oxygen saturation sensor is used to measure and obtain a blood oxygen saturation measurement sequence of the user being cared for;

[0081] The drinking water reminder determination module is used to determine whether the drinking water value per unit time of the user is greater than a preset drinking water threshold value, and obtain a first determination result;

[0082] If the first discrimination result is greater than, in a subsequent period of time, the first discrimination model is used to discriminate the user's physiological parameter set to obtain drinking water reminder information;

[0083] If the first discrimination result is not greater than, in a subsequent period of time, the second discrimination model is used to discriminate the user's physiological parameter set to obtain drinking water reminder information;

[0084] The method of using the first discriminant model to discriminate the user's physiological parameter set to obtain drinking water reminder information includes:

[0085] Obtaining a set of standard physiological parameters of the user; the set of standard physiological parameters of the user includes a sequence of standard values ​​of body temperature, blood pressure, pulse and blood oxygen saturation;

[0086] The user standard physiological parameter set and the user physiological parameter set are represented as a standard matrix and an acquisition matrix respectively; the row vector of the standard matrix is ​​a standard value sequence of body temperature, blood pressure, pulse and blood oxygen saturation; the row vector of the acquisition matrix includes a user body temperature measurement sequence, a user blood pressure measurement sequence, a user pulse measurement sequence, and a user blood oxygen saturation measurement sequence;

[0087] Perform correlation calculation on the acquisition matrix and the standard matrix to obtain a correlation vector;

[0088] For each standard value sequence of the standard matrix, an average value is calculated;

[0089] For each physiological parameter measurement sequence in the acquisition matrix, calculate the absolute value of the difference between its element and the average value of the corresponding standard value sequence, and determine the absolute value of the difference as the offset of the element;

[0090] For each measurement sequence of the physiological parameter in the acquisition matrix, find the element with the maximum offset, and determine the sequence number value of the element in the measurement sequence of the physiological parameter as the deviation sequence number value of the measurement sequence of the physiological parameter;

[0091] The deviation sequence values ​​of the measurement sequences of all physiological parameters are used to perform weighted summation with the associated vector to obtain the drinking water urgency assessment value;

[0092] Determine whether the drinking water urgency assessment value is greater than a set first urgency threshold. If so, set the drinking water reminder information to indicate that drinking water is required; if not, set the drinking water reminder information to indicate that drinking water is not required.

[0093] The method of using the second discriminant model to discriminate the user's physiological parameter set to obtain drinking water reminder information includes:

[0094] The user physiological parameter set is represented as an acquisition matrix; the row vector of the acquisition matrix includes a user body temperature measurement sequence, a user blood pressure measurement sequence, a user pulse measurement sequence, and a user blood oxygen saturation measurement sequence;

[0095] Performing feature fitting processing on the acquisition matrix to obtain a weighted vector and a user physiological parameter approximation model;

[0096] In the measurement sequence of each physiological parameter in the acquisition matrix, determine the sequence number of the element with the largest absolute difference from the median value of the measurement sequence as the characteristic sequence number of the measurement sequence;

[0097] The weighted vector is used to perform weighted summation on the characteristic sequence values ​​of all measurement sequences to obtain the total characteristic sequence value;

[0098] The total feature sequence number value is used as input and brought into the user physiological parameter approximation model for calculation and processing to obtain a drinking water urgency assessment value; it is determined whether the drinking water urgency assessment value is greater than a set second urgency threshold value, if it is greater than the set second urgency threshold value, the drinking water reminder information is set to need to drink water, if it is not greater than the set second urgency threshold value, the drinking water reminder information is set to not need to drink water.

[0099] The performing feature fitting processing on the acquisition matrix to obtain a weighted vector and a user physiological parameter approximation model includes:

[0100] Decomposing the acquisition matrix to obtain a left decomposition matrix, a feature matrix and a right decomposition matrix;

[0101] The decomposition process is calculated as follows:

[0102] Y=UAV,

[0103] Among them, U is the left decomposition matrix, Y is the acquisition matrix, A is the feature matrix, V is the right decomposition matrix, U and V are both orthogonal matrices, and A is a diagonal matrix;

[0104] Extracting the diagonal elements of the feature matrix to obtain a feature vector; using the feature vector as a weighted vector;

[0105] Performing linear fitting processing on the elements and element sequence values ​​of the feature vector to obtain an approximate model of the user's physiological parameters;

[0106] In a second aspect of the embodiment of the present application, a drinking water intelligent monitoring reminder method is disclosed, which is implemented by using the drinking water reminder device of the cared user, comprising:

[0107] S1, using the water volume calculation module to measure the water volume information of the water cup of the cared user, and calculate and process the water volume information within a period of time to obtain the user's drinking water value per unit time;

[0108] S2, using the physiological parameter measurement module to measure and process the physiological parameters of the cared user, obtain a set of user physiological parameters, and send the set of user physiological parameters to a drinking water reminder determination module;

[0109] S3, using the water drinking reminder identification module to identify the water drinking value per unit time of the user and the set of physiological parameters of the user to obtain water drinking reminder information;

[0110] The drinking water reminder identification module is used to identify and process the drinking water value per unit time of the user and the set of physiological parameters of the user to obtain drinking water reminder information, including:

[0111] Determine whether the user's drinking water value per unit time is greater than a preset drinking water threshold, and obtain a first determination result;

[0112] If the first discrimination result is greater than, in a subsequent period of time, the first discrimination model is used to discriminate the user's physiological parameter set to obtain drinking water reminder information;

[0113] If the first discrimination result is not greater than, in a subsequent period of time, the second discrimination model is used to discriminate the user's physiological parameter set to obtain drinking water reminder information;

[0114] The method of using the first discriminant model to discriminate the user's physiological parameter set to obtain drinking water reminder information includes:

[0115] Obtaining a set of standard physiological parameters of the user; the set of standard physiological parameters of the user includes a sequence of standard values ​​of body temperature, blood pressure, pulse and blood oxygen saturation;

[0116] The user standard physiological parameter set and the user physiological parameter set are represented as a standard matrix and an acquisition matrix respectively; the row vector of the standard matrix is ​​a standard value sequence of body temperature, blood pressure, pulse and blood oxygen saturation; the row vector of the acquisition matrix includes a user body temperature measurement sequence, a user blood pressure measurement sequence, a user pulse measurement sequence, and a user blood oxygen saturation measurement sequence;

[0117] Perform correlation calculation on the acquisition matrix and the standard matrix to obtain a correlation vector;

[0118] For each standard value sequence of the standard matrix, an average value is calculated;

[0119] For each physiological parameter measurement sequence in the acquisition matrix, calculate the absolute value of the difference between its element and the average value of the corresponding standard value sequence, and determine the absolute value of the difference as the offset of the element;

[0120] For each measurement sequence of the physiological parameter in the acquisition matrix, find the element with the maximum offset, and determine the sequence number value of the element in the measurement sequence of the physiological parameter as the deviation sequence number value of the measurement sequence of the physiological parameter;

[0121] The deviation sequence values ​​of the measurement sequences of all physiological parameters are used to perform weighted summation with the associated vector to obtain the drinking water urgency assessment value;

[0122] Determine whether the drinking water urgency assessment value is greater than a set first urgency threshold. If so, set the drinking water reminder information to indicate that drinking water is required; if not, set the drinking water reminder information to indicate that drinking water is not required.

[0123] The calculation expression of the association calculation is:

[0124]

[0125] Among them, A1 ij is the element of the i-th row and j-th column of the acquisition matrix A1, A2 ij is the element of the i-th row and j-th column of the standard matrix A2, M is the column dimension of the acquisition matrix, and p i is the i-th element of the association vector.

[0126] The first urgency threshold may be set to 2.5, and the second urgency threshold may be set to 8.5.

[0127] The decomposition process can be implemented by using a matrix singular value decomposition algorithm.

[0128] The linear fitting process uses the characteristic vector element serial number value Ix as a known independent variable and the characteristic vector element value as a known dependent variable, and constructs a curve to be approximated using the known independent variable and the known dependent variable, and uses a function approximation method to perform curve fitting on the curve to be approximated to obtain an approximation model of the user's physiological parameters.

[0129] The user unit time may be 1 hour or half an hour.

[0130] Determining the drinking water value per unit time of the user according to the pressure difference includes:

[0131] The pressure sensor is used to measure the pressure value A1 of the water cup of the cared user when it is full of water, and then the pressure value A0 of the water cup of the cared user when it is empty. The volume of the water cup is P. When the pressure difference is A2, the user's drinking value per unit time is A2P / (A1-A0).

[0132] The method of using the deviation sequence number value of the measurement sequence of all physiological parameters and performing weighted summation with the associated vector to obtain the drinking water urgency assessment value is to use each deviation sequence number value of the measurement sequence as a weight value, multiply each element of the associated vector to obtain the corresponding product, and then sum all the products to obtain the drinking water urgency assessment value.

[0133] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A drinking water intelligent monitoring and reminder device, characterized in that: include: Water volume calculation module, physiological parameter measurement module, drinking water reminder identification module; The water volume calculation module is used to measure the water volume information of the water cup of the cared user, calculate and process the water volume information within a period of time, and obtain the user's drinking water value per unit time; The physiological parameter measurement module is used to measure and process the physiological parameters of the cared user to obtain a set of user physiological parameters, and send the set of user physiological parameters to the water drinking reminder determination module; The water drinking reminder identification module is connected to the water volume calculation module and the physiological parameter measurement module respectively, and is used to identify and process the user's water drinking value per unit time and the user's physiological parameter set to obtain water drinking reminder information.

2. The drinking water intelligent monitoring and reminder device according to claim 1, characterized in that: The water volume calculation module includes a pressure sensor, a microprocessor and a wireless communication submodule; the pressure sensor is arranged at the bottom of the water cup of the cared user, and is used to measure the bottom pressure of the water cup of the cared user according to a preset discrete time sequence to obtain a pressure measurement value sequence; The microprocessor is connected to the pressure sensor and the wireless communication submodule respectively, and is used to obtain a pressure difference by subtracting a pressure measurement value at the end of a period of time from a pressure measurement value at the start of a period of time, and determine the water drinking value per unit time of the user according to the pressure difference; The wireless communication submodule is used to send the user's water drinking value per unit time to the water drinking reminder determination module.

3. The drinking water intelligent monitoring and reminder device according to claim 2, characterized in that: The physiological parameter measurement module includes a body temperature sensor, a blood pressure sensor, a pulse sensor, a blood oxygen saturation sensor and a communication submodule; The communication submodule is connected to the body temperature sensor, the blood pressure sensor, the pulse sensor and the blood oxygen saturation sensor respectively, and is used to send the user physiological parameter set to the drinking water reminder discrimination module; The body temperature sensor is used to measure and obtain a body temperature measurement sequence of the user being cared for; The blood pressure sensor is used to measure and obtain a blood pressure measurement sequence of the user being cared for; The pulse sensor is used to measure and obtain a pulse measurement sequence of the user being cared for; The blood oxygen saturation sensor is used to measure and obtain a blood oxygen saturation measurement sequence of the user being cared for.

4. The drinking water intelligent monitoring reminder device according to claim 3, characterized in that: The drinking water reminder determination module is used to determine whether the drinking water value per unit time of the user is greater than a preset drinking water threshold value, and obtain a first determination result; If the first discrimination result is greater than, in a subsequent period of time, the first discrimination model is used to discriminate the user's physiological parameter set to obtain drinking water reminder information; If the first discrimination result is not greater than, in a subsequent period of time, the second discrimination model is used to discriminate the user's physiological parameter set to obtain drinking water reminder information.

5. The drinking water intelligent monitoring and reminder device according to claim 4, characterized in that: The method of using the first discriminant model to discriminate the user's physiological parameter set to obtain drinking water reminder information includes: Obtaining a set of standard physiological parameters of the user; the set of standard physiological parameters of the user includes a sequence of standard values ​​of body temperature, blood pressure, pulse and blood oxygen saturation; The user standard physiological parameter set and the user physiological parameter set are represented as a standard matrix and an acquisition matrix respectively; the row vector of the standard matrix is ​​a standard value sequence of body temperature, blood pressure, pulse and blood oxygen saturation; the row vector of the acquisition matrix includes a user body temperature measurement sequence, a user blood pressure measurement sequence, a user pulse measurement sequence, and a user blood oxygen saturation measurement sequence; Perform correlation calculation on the acquisition matrix and the standard matrix to obtain a correlation vector; For each standard value sequence of the standard matrix, the corresponding average value is calculated respectively; For each physiological parameter measurement sequence in the acquisition matrix, calculate the absolute value of the difference between its element and the average value of the corresponding standard value sequence, and determine the absolute value of the difference as the offset of the element; For each measurement sequence of the physiological parameter in the acquisition matrix, find the element with the maximum offset, and determine the sequence number value of the element in the measurement sequence of the physiological parameter as the deviation sequence number value of the measurement sequence of the physiological parameter; The deviation sequence values ​​of the measurement sequences of all physiological parameters are used to perform weighted summation with the associated vector to obtain the drinking water urgency assessment value; Determine whether the drinking water urgency assessment value is greater than a set first urgency threshold. If so, set the drinking water reminder information to indicate that drinking water is required; if not, set the drinking water reminder information to indicate that drinking water is not required.

6. The drinking water intelligent monitoring and reminder device according to claim 4, characterized in that: The method of using the second discriminant model to discriminate the user's physiological parameter set to obtain drinking water reminder information includes: The user physiological parameter set is represented as an acquisition matrix; the row vector of the acquisition matrix is ​​a user body temperature measurement sequence, a user blood pressure measurement sequence, a user pulse measurement sequence and a user blood oxygen saturation measurement sequence; Performing feature fitting processing on the acquisition matrix to obtain a weighted vector and a user physiological parameter approximation model; In the measurement sequence of each physiological parameter in the acquisition matrix, determine the sequence number of the element with the largest absolute difference from the median value of the measurement sequence, as the characteristic sequence number of the measurement sequence; The weighted vector is used to perform weighted summation on the characteristic sequence values ​​of all measurement sequences to obtain the total characteristic sequence value; The total feature sequence number value is used as input, and a user physiological parameter approximation model is used for calculation and processing to obtain a drinking water urgency evaluation value; it is determined whether the drinking water urgency evaluation value is greater than a set second urgency threshold value, if it is greater than the set second urgency threshold value, the drinking water reminder information is set to need to drink water, if it is not greater than the set second urgency threshold value, the drinking water reminder information is set to not need to drink water.

7. The drinking water intelligent monitoring and reminder device according to claim 6, characterized in that: The performing feature fitting processing on the acquisition matrix to obtain a weighted vector and a user physiological parameter approximation model includes: Decomposing the acquisition matrix to obtain a left decomposition matrix, a feature matrix and a right decomposition matrix; The decomposition process is calculated as follows: Y=UAV, Among them, U is the left decomposition matrix, Y is the acquisition matrix, A is the feature matrix, V is the right decomposition matrix, U and V are both orthogonal matrices, and A is a diagonal matrix; Extracting the diagonal elements of the feature matrix to obtain a feature vector; using the feature vector as a weighted vector; Linear fitting processing is performed on the elements and element sequence values ​​of the feature vector to obtain an approximate model of the user's physiological parameters.

8. A drinking water intelligent monitoring reminder method, characterized in that: The drinking water intelligent monitoring and reminder device according to any one of claims 1 to 7 is used to implement the method, comprising: S1, using the water volume calculation module to measure the water volume information of the water cup of the cared user, and calculate and process the water volume information within a period of time to obtain the user's drinking water value per unit time; S2, using the physiological parameter measurement module to measure and process the physiological parameters of the cared user, obtain a set of user physiological parameters, and send the set of user physiological parameters to a drinking water reminder determination module; S3, using the water drinking reminder identification module to identify the water drinking value per unit time of the user and the set of physiological parameters of the user to obtain water drinking reminder information.

9. The drinking water intelligent monitoring reminder method according to claim 8, characterized in that: The drinking water reminder identification module is used to identify and process the drinking water value per unit time of the user and the set of physiological parameters of the user to obtain drinking water reminder information, including: Determine whether the user's drinking water value per unit time is greater than a preset drinking water threshold, and obtain a first determination result; If the first discrimination result is greater than, in a subsequent period of time, the first discrimination model is used to discriminate the user's physiological parameter set to obtain drinking water reminder information; If the first discrimination result is not greater than, in a subsequent period of time, the second discrimination model is used to discriminate the user's physiological parameter set to obtain drinking water reminder information.

10. The drinking water intelligent monitoring reminder method according to claim 9, characterized in that: The method of using the first discriminant model to discriminate the user's physiological parameter set to obtain drinking water reminder information includes: Obtaining a set of standard physiological parameters of the user; the set of standard physiological parameters of the user includes a sequence of standard values ​​of body temperature, blood pressure, pulse and blood oxygen saturation; The user standard physiological parameter set and the user physiological parameter set are represented as a standard matrix and an acquisition matrix respectively; the row vector of the standard matrix is ​​a standard value sequence of body temperature, blood pressure, pulse and blood oxygen saturation; the row vector of the acquisition matrix includes a user body temperature measurement sequence, a user blood pressure measurement sequence, a user pulse measurement sequence, and a user blood oxygen saturation measurement sequence; Perform correlation calculation on the acquisition matrix and the standard matrix to obtain a correlation vector; For each standard value sequence of the standard matrix, an average value is calculated; For each physiological parameter measurement sequence in the acquisition matrix, calculate the absolute value of the difference between its element and the average value of the corresponding standard value sequence, and determine the absolute value of the difference as the offset of the element; For each measurement sequence of the physiological parameter in the acquisition matrix, find the element with the maximum offset, and determine the sequence number value of the element in the measurement sequence of the physiological parameter as the deviation sequence number value of the measurement sequence of the physiological parameter; The deviation sequence values ​​of the measurement sequences of all physiological parameters are used to perform weighted summation with the associated vector to obtain the drinking water urgency assessment value; Determine whether the drinking water urgency assessment value is greater than a set first urgency threshold. If so, set the drinking water reminder information to indicate that drinking water is required; if not, set the drinking water reminder information to indicate that drinking water is not required.

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