CN112071402B - Intelligent monitoring and reminding method and device for children drinking water - Google Patents
Intelligent monitoring and reminding method and device for children drinking water Download PDFInfo
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- CN112071402B CN112071402B CN202011257262.8A CN202011257262A CN112071402B CN 112071402 B CN112071402 B CN 112071402B CN 202011257262 A CN202011257262 A CN 202011257262A CN 112071402 B CN112071402 B CN 112071402B
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
Abstract
The invention provides an intelligent monitoring and reminding method and device for children drinking, wherein the method comprises the following steps: monitoring drinking scenes and corresponding drinking posture data of the children in a preset time period in real time; judging whether the drinking posture data is empty, and if so, carrying out early warning reminding; otherwise, determining drinking information of the children according to the drinking scene and the corresponding drinking posture data, and estimating the total drinking amount of the children based on a drinking data model; simultaneously, gather children and drink the water vibrations information at the in-process of drinking water to the total amount of drinking water is assisted and is adjusted according to the vibrations information of drinking water, obtains final water volume of drinking water, and shows. The drinking water amount is determined by monitoring drinking posture data and drinking water vibration information, so that children can be reminded of drinking water in time.
Description
Technical Field
The invention relates to the technical field of mobile perception, in particular to an intelligent monitoring and reminding method and device for children drinking.
Background
The children lack supervision cognition in the stage K0-K6 (from the age of the children to the age of 6 at the primary school), and drink water only after being thirsty or not at all during the school, which causes great damage to the physical and mental health of the children (the children are easy to cause other serious diseases such as the development distortion of organs such as kidney and the like due to insufficient drinking amount).
Parents send children to school every day, and can carry enough water for drinking all day with them, but the situation that the children forget to drink or do not drink or pour the water in a crisp way after the children arrive at school often happens.
Therefore, in order to avoid the above situations, the invention provides an intelligent supervision and reminding method and device for drinking water of children.
Disclosure of Invention
The invention provides an intelligent supervision reminding method and device for drinking water of children, which are used for determining the drinking water amount by monitoring drinking water posture data and drinking water vibration information so as to remind the children of drinking water in time.
The invention provides an intelligent monitoring and reminding method for children drinking, which comprises the following steps:
monitoring drinking scenes and corresponding drinking posture data of the children in a preset time period in real time;
judging whether the drinking posture data is empty or not, and if so, carrying out early warning reminding;
otherwise, determining drinking information of the children according to the drinking scene and the corresponding drinking posture data, and estimating the total drinking amount of the children based on a drinking data model;
and meanwhile, collecting drinking vibration information of the children in the drinking process, and performing auxiliary adjustment on the total drinking amount according to the drinking vibration information to obtain the final drinking amount and display the final drinking amount.
In one possible way of realisation,
the drinking scene comprises: the children grab a cup drinking scene and use a straw to drink the water;
the drinking posture data includes: the arm-raising data, the arm-raising data and the arm-falling data of the child;
the drinking information includes: the drinking times, drinking duration and gesture inclination degree of the children during drinking.
In one possible way of realisation,
the early warning reminder includes: any one or a combination of a vibration reminder, a display reminder, a ringtone reminder and a remote reminder.
In one possible implementation manner, the step of determining whether the drinking posture data is empty includes:
calling and searching a storage area for storing the drinking attitude data according to a preset storage path;
acquiring a regional storage log of the storage region, and judging whether new data exist in the preset time period or not according to the regional storage log;
if yes, determining the data attribute of the newly added data;
otherwise, judging that the drinking posture data is empty;
after determining the data attribute of the newly added data, determining the data type to which the data attribute belongs according to an attribute mapping table;
when the data type is related to the storage area, judging that the drinking posture data is empty;
otherwise, judging that the drinking posture data is not empty.
In a possible implementation manner, the step of determining drinking information of the child according to the drinking posture data includes:
positioning a target point of the arm of the child, and acquiring continuous actions of a preset point in a preset time period according to the coordinate change of the target point in a standard plane, wherein the continuous actions comprise: arm raising action, arm raising action and arm lowering action;
the continuous actions are split according to arm lifting actions, arm lifting actions and arm falling actions;
acquiring arm starting data of the split arm starting motion based on the drinking posture data, and constructing an arm starting vector of the arm starting data;
acquiring the arm data of the split arm movement based on the drinking posture data, and constructing an arm vector of the arm data;
based on the drinking posture data, acquiring falling arm data of the split arm raising motion, and constructing a falling arm vector of the falling arm data;
extracting first coherent data from arm raising action to arm raising action and constructing a first coherent vector based on the water drinking posture data, and simultaneously extracting second coherent data from arm raising action to arm lowering action and constructing a second coherent vector;
constructing a current action model of the child according to the arm raising vector, the arm raising vector and the arm falling vector, inputting the current action model into a standard drinking model, determining whether the drinking action of the child is standard or not, and if so, determining the drinking duration of the child at the preset point and the gesture inclination degree during drinking;
if the child does not have the standard drinking motion, optimizing the current motion model based on the first coherent vector and the second coherent vector, inputting the optimized current motion model into a standard drinking model, and determining whether the child drinking motion is standard again;
if the number of times of drinking water at the preset point is not standard, the number of times of drinking water at the preset point is not counted, the drinking water duration and the gesture inclination degree during drinking water are determined for other preset points in the preset time period, and meanwhile whether the number of times of drinking water corresponding to the number of times of drinking water is counted is judged.
In a mode that can realize, after the gesture data of drinking water of real-time supervision children in the predetermined time quantum is empty and carries out the early warning and remind, still include:
establishing a binding relationship between a child end of the child and a corresponding parent end;
when the home agent sends a remote viewing instruction to the bound child, calculating a secret value Z of the remote viewing instruction according to the following formula, and determining the encryption probability of the remote viewing instruction according to the secret value;
wherein n represents the total number of target operation steps involved in the remote view instruction;
the operation weight value of the ith target operation step in the operation process is represented; h represents a security protection value of a category to which the remote view instruction belongs;
representing the probability value of the i-th target operation step being attacked in the operation process;
representing the attacked average probability values corresponding to the n target operation steps;
representing a maximum operating weight value in the n target operating steps;
representing average operation weight values corresponding to the n target operation steps; rand denotes a random functionAnd the value range is [3, 4 ]](ii) a e represents a natural logarithm; representing the maximum probability value of a certain corresponding step in the n target operation steps;
according to the encryption probability, a relevant encryption probability set is called from an encryption database, the encryption probability set is divided into even layers according to a micro variation rule, a screening value S is calculated according to the following formula, and a plurality of corresponding encryption modes are called from different probability encryption layers to carry out superposition combination encryption on the remote viewing instruction based on the screening value and a random encryption rule;
wherein m represents the total number of layers after even-numbered layer division is carried out on the encryption probability set;
representing the encryption effective value of the jth probability encryption layer;
representing a correlation value between the jth probability encryption layer and the encryption probability P;
representing the probability of the encryption mode which can be called in the jth probability encryption layer;
is shown as
The probability of the encryption mode which can be called in the probability encryption layer; k represents the average probability of the encryption modes which can be called in the m probability encryption layers;
after the monitoring end for monitoring the children receives the encrypted remote viewing instruction, decrypting the encrypted remote viewing instruction, and meanwhile, clearing attack information carried in the encrypted remote viewing instruction based on a software platform;
acquiring video information of the child monitored by the monitoring end according to the decryption processing result and the clearing processing result;
wherein the video information is associated with drinking information of the child.
In a possible implementation manner, after obtaining the video information of the child monitored by the monitoring terminal, the method further includes:
acquiring video coding data of the video information and transmission limitation transmitted to a home terminal, screening a reverse encryption set according to the video coding data and the transmission limitation, and performing reverse encryption on the video information according to the reverse encryption set;
acquiring the transmission capacity of the reversely encrypted video information, and acquiring a capacity adjustment factor when the transmission capacity is larger than a preset capacity;
and matching reverse encryption modes in the reverse encryption set based on the capacity adjustment factor, performing comprehensive sequencing of the encryption weight and the encryption specific capacity from large to small on the matched reverse encryption modes, removing the reverse encryption mode with the minimum comprehensive sequencing according to a comprehensive sequencing result, re-encrypting the video information, and re-judging whether the transmission capacity of the encrypted video information is greater than the preset capacity, if so, continuing to adjust until the transmission capacity is less than or equal to the preset capacity.
In a possible implementation mode, collecting the drinking vibration information of the children in the drinking process, and performing auxiliary adjustment on the total drinking amount according to the drinking vibration information, wherein the step of obtaining the final drinking amount comprises the following steps:
when the child starts to carry the kettle and does not drink water, monitoring the water quantity in the kettle of the child in real time, and monitoring the operation of the child on the kettle in real time;
judging whether the children destroy the water in the kettle or not according to the real-time monitoring result, and if so, carrying out early warning reminding;
otherwise, monitoring the throat vibration frequency and vibration amplitude of the child in the drinking process of the child;
verifying whether the vibration frequency and the vibration amplitude are fake drinking data or not based on a verification data model, if so, obtaining a first weight corresponding to the vibration frequency and the vibration amplitude, and performing auxiliary adjustment on the total drinking amount based on the first weight to obtain the final drinking amount;
otherwise, acquiring a second weight corresponding to the vibration frequency and the vibration amplitude, and performing auxiliary adjustment on the total water drinking amount based on the second weight to obtain the final water drinking amount;
the verification data model is determined based on the normal drinking state of the child, the vibration frequency and vibration amplitude in the normal drinking process and the normal growth factor.
In one possible way of realisation,
after the final drinking amount is obtained, the method further comprises the following steps:
based on a conversion rule, converting the final drinking water amount into a corresponding target score, acquiring a corresponding reward when the target score reaches a preset value, and actively triggering the gift transaction related to the reward in the online shopping mall and a corresponding parent end to pay for and purchase the transacted gift;
wherein, after obtaining the final drinking water amount, the method further comprises the following steps:
and acquiring the geographic position of the child, dividing units, performing unit rating according to the unit division result and the corresponding target score, and pushing a rating result based on a time rule.
The invention provides an intelligent monitoring and reminding device for children drinking, which comprises:
the monitoring module is used for monitoring drinking posture data of the children in a preset time period in real time;
the judging module is used for judging whether the drinking posture data is empty or not, and if so, early warning reminding is carried out;
otherwise, determining drinking information of the children according to the drinking posture data, and estimating the total drinking amount of the children based on a drinking data model;
the acquisition module is used for acquiring drinking vibration information of the children in the drinking process, performing auxiliary adjustment on the total drinking amount according to the drinking vibration information to obtain the final drinking amount, and transmitting the final drinking amount to the display module for displaying;
the monitoring module, the judging module and the collecting module realize respective corresponding functions based on the setting of the radar sensor.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of an intelligent monitoring and reminding method for children drinking water according to an embodiment of the present invention;
fig. 2 is a flowchart of an intelligent monitoring and reminding device for children drinking water according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The invention provides an intelligent monitoring and reminding method for children drinking, as shown in figure 1, comprising the following steps:
step 1: monitoring drinking scenes and corresponding drinking posture data of the children in a preset time period in real time;
step 2: judging whether the drinking posture data is empty or not, and if so, carrying out early warning reminding; otherwise, determining drinking information of the children according to the drinking scene and the corresponding drinking posture data, and estimating the total drinking amount of the children based on a drinking data model;
and step 3: and meanwhile, collecting drinking vibration information of the children in the drinking process, and performing auxiliary adjustment on the total drinking amount according to the drinking vibration information to obtain the final drinking amount and display the final drinking amount. Preferably, the first and second electrodes are formed of a metal,
the drinking scene comprises: the children grab a cup drinking scene and use a straw to drink the water;
the drinking posture data includes: the arm-raising data, the arm-raising data and the arm-falling data of the child;
the drinking information includes: the drinking times, drinking duration and gesture inclination degree of the children during drinking.
Preferably, the early warning reminder includes: any one or a combination of a vibration reminder, a display reminder, a ringtone reminder and a remote reminder.
In the embodiment, when the drinking scene is a scene in which a child grabs a cup to drink water, the rising arm data, the lifting arm data and the falling arm data of the child are acquired through the millimeter wave radar to judge the water drinking amount;
when the drinking scene is the drinking scene of children using the straw, the arm action and the drinking vibration are acquired through the millimeter wave radar to comprehensively judge the drinking amount.
The beneficial effects of the above technical scheme are: the drinking water amount is determined by monitoring drinking posture data and drinking water vibration information, so that children can be reminded of drinking water in time.
The invention provides an intelligent monitoring and reminding method for children drinking, and the step of judging whether the drinking posture data is empty or not comprises the following steps:
calling and searching a storage area for storing the drinking attitude data according to a preset storage path;
acquiring a regional storage log of the storage region, and judging whether new data exist in the preset time period or not according to the regional storage log;
if yes, determining the data attribute of the newly added data;
otherwise, judging that the drinking posture data is empty;
after determining the data attribute of the newly added data, determining the data type to which the data attribute belongs according to an attribute mapping table;
when the data type is related to the storage area, judging that the drinking posture data is empty;
otherwise, judging that the drinking posture data is not empty.
In this embodiment, the predetermined storage path is preset, and the storage area is a disk, a memory, or the like capable of storing data.
In this embodiment, the area storage log generally includes: storage time, storage data type, storage data size, etc.
In this embodiment, the new data may refer to, for example, when the storage area is started to store data, at this time, some parameters related to the automatic operation of the storage area may be generated, and at this time, the new data may be regarded as the new data and is related to the storage area itself.
In this embodiment, the data attributes include, for example: the corresponding data types including the operation attribute and the storage attribute are an operation type and a storage type.
The beneficial effects of the above technical scheme are: by judging whether the drinking posture data is empty or not, the subsequent corresponding operation is conveniently and effectively executed, and a foundation is provided for early warning reminding or water drinking amount determination.
The invention provides an intelligent monitoring and reminding method for children drinking, wherein the step of determining drinking information of the children according to the drinking attitude data comprises the following steps:
positioning a target point of the arm of the child, and acquiring continuous actions of a preset point in a preset time period according to the coordinate change of the target point in a standard plane, wherein the continuous actions comprise: arm raising action, arm raising action and arm lowering action;
the continuous actions are split according to arm lifting actions, arm lifting actions and arm falling actions;
acquiring arm starting data of the split arm starting motion based on the drinking posture data, and constructing an arm starting vector of the arm starting data;
acquiring the arm data of the split arm movement based on the drinking posture data, and constructing an arm vector of the arm data;
based on the drinking posture data, acquiring falling arm data of the split arm raising motion, and constructing a falling arm vector of the falling arm data;
extracting first coherent data from arm raising action to arm raising action and constructing a first coherent vector based on the water drinking posture data, and simultaneously extracting second coherent data from arm raising action to arm lowering action and constructing a second coherent vector;
constructing a current action model of the child according to the arm raising vector, the arm raising vector and the arm falling vector, inputting the current action model into a standard drinking model, determining whether the drinking action of the child is standard or not, and if so, determining the drinking duration of the child at the preset point and the gesture inclination degree during drinking;
if the child does not have the standard drinking motion, optimizing the current motion model based on the first coherent vector and the second coherent vector, inputting the optimized current motion model into a standard drinking model, and determining whether the child drinking motion is standard again;
if the number of times of drinking water at the preset point is not standard, the number of times of drinking water at the preset point is not counted, the drinking water duration and the gesture inclination degree during drinking water are determined for other preset points in the preset time period, and meanwhile whether the number of times of drinking water corresponding to the number of times of drinking water is counted is judged.
In this embodiment, the target points may be, for example, respective joints on the arm;
in this embodiment, the preset time period is, for example, 5 minutes, and the preset point is, for example, a time point corresponding to the whole process from arm raising to arm lowering, wherein, due to the existence of the fake drinking water, a first coherent vector and a second coherent vector need to be constructed to determine whether the user performs a complete continuous action in the process.
In this embodiment, the current action model is constructed to determine whether the drinking action of the child is normal, and further determine the drinking related parameters.
In this embodiment, the first coherence vector is related to the boom data and the arm data;
the second coherent vector is associated with the boom data and the boom fall data.
The beneficial effects of the above technical scheme are: the method comprises the steps of determining continuous actions at a preset point, splitting the actions, constructing vectors of different splitting actions, further constructing a current action model, determining the normalization of drinking actions depending on a standard drinking model, further determining relevant parameters, optimizing the current action model through a first coherent vector and a second coherent vector, and facilitating statistics on the drinking times and improving the effectiveness of obtained drinking information.
The invention provides an intelligent monitoring and reminding method for drinking water of children, which is used for monitoring that drinking posture data of the children in a preset time period is empty in real time and carrying out early warning and reminding, and further comprises the following steps:
establishing a binding relationship between a child end of the child and a corresponding parent end;
when the home agent sends a remote viewing instruction to the bound child, calculating a secret value Z of the remote viewing instruction according to the following formula, and determining the encryption probability of the remote viewing instruction according to the secret value;
wherein n represents the total number of target operation steps involved in the remote view instruction;
denotes the ithThe operation weight value of each target operation step in the operation process; h represents a security protection value of a category to which the remote view instruction belongs;
representing the probability value of the i-th target operation step being attacked in the operation process;
representing the attacked average probability values corresponding to the n target operation steps;
representing a maximum operating weight value in the n target operating steps;
representing average operation weight values corresponding to the n target operation steps; rand represents a random function and has a value range of [3, 4 ]](ii) a e represents a natural logarithm;
representing the maximum probability value of a certain corresponding step in the n target operation steps;
according to the encryption probability, a relevant encryption probability set is called from an encryption database, the encryption probability set is divided into even layers according to a micro variation rule, a screening value S is calculated according to the following formula, and a plurality of corresponding encryption modes are called from different probability encryption layers to carry out superposition combination encryption on the remote viewing instruction based on the screening value and a random encryption rule;
wherein m represents the total number of layers after even-numbered layer division is carried out on the encryption probability set;
representing the jth probabilistic encryptionAn encryption effective value of a layer;
representing a correlation value between the jth probability encryption layer and the encryption probability P;
representing the probability of the encryption mode which can be called in the jth probability encryption layer;
is shown as
The probability of the encryption mode which can be called in the probability encryption layer; k represents the average probability of the encryption modes which can be called in the m probability encryption layers;
after the monitoring end for monitoring the children receives the encrypted remote viewing instruction, decrypting the encrypted remote viewing instruction, and meanwhile, clearing attack information carried in the encrypted remote viewing instruction based on a software platform;
acquiring video information of the child monitored by the monitoring end according to the decryption processing result and the clearing processing result;
wherein the video information is associated with drinking information of the child.
The beneficial effects of the above technical scheme are: the method comprises the steps of sending related video information to a parent end by establishing a binding relationship between a child end and the parent end, conveniently knowing the drinking condition in time and reminding in time, wherein firstly, a remote viewing instruction is sent, the secret value of the remote viewing instruction is calculated to determine the encryption probability, the related video information is prevented from being viewed by irrelevant personnel such as non-parents, the safety protection is improved, an encryption probability set is selected according to the encryption probability, the division of an even layer is carried out, the corresponding encryption modes are conveniently randomly called from different probability encryption layers by calculating and screening the value, the instructions are combined and encrypted, the randomness and the safety of encryption are ensured, and the safety of the instruction information is further ensured by clearing attack information.
The invention provides an intelligent monitoring and reminding method for children drinking, which comprises the following steps of after acquiring video information of the children monitored by a monitoring end:
acquiring video coding data of the video information and transmission limitation transmitted to a home terminal, screening a reverse encryption set according to the video coding data and the transmission limitation, and performing reverse encryption on the video information according to the reverse encryption set;
acquiring the transmission capacity of the reversely encrypted video information, and acquiring a capacity adjustment factor when the transmission capacity is larger than a preset capacity;
and matching reverse encryption modes in the reverse encryption set based on the capacity adjustment factor, performing comprehensive sequencing of the encryption weight and the encryption specific capacity from large to small on the matched reverse encryption modes, removing the reverse encryption mode with the minimum comprehensive sequencing according to a comprehensive sequencing result, re-encrypting the video information, and re-judging whether the transmission capacity of the encrypted video information is greater than the preset capacity, if so, continuing to adjust until the transmission capacity is less than or equal to the preset capacity.
In this embodiment, the transmission limit is generally associated with network transmission traffic, transmission data capacity, and the like.
In this embodiment, reverse encryption set is in order to encrypt the video information who obtains, guarantees that the security of video information transmission is for can transmitting video information safety to the keeper end, supplies the head of a family to look over the condition of drinking water, is convenient for remind.
In this embodiment, for example, the reverse encryption set includes 3 encryption manners, at this time, video information is encrypted based on the 3 encryption manners, and the transmission capacity of the encrypted video information is greater than a preset transmission capacity (provided that the capacity of the unencrypted video information is smaller than the preset capacity), at this time, the encryption weights and the encryption duty capacities of the 3 encryption manners are determined, and the ordering is performed from large to small, so that it is convenient to eliminate a certain encryption manner to ensure that the transmission capacity of the encrypted video information is smaller than the preset capacity, where the preset capacity is preset.
In this embodiment, the obtained capacity adjustment factor is to match the reverse encryption scheme, for example, the capacity of the video information is a1, and 3 of the reverse encryption schemes of the capacity adjustment factor matching are a2, a3, and a4, in this case, B (a2) > B (a3) > B (a4), where B () represents a comprehensive judgment function based on the encryption weight and the encryption proportion capacity.
At this time, if the corresponding capacity is larger than the preset capacity, the reverse encryption mode of a4 is eliminated.
The beneficial effects of the above technical scheme are: through carrying out reverse encryption to the video, be in order to guarantee the security of video information transmission, and can transmit to the head of a family safely in order to guarantee video information, supply the head of a family to look over the condition of drinking water, be convenient for remind, and through acquireing capacity adjustment factor, match reverse encryption mode, be convenient for encrypt again, guarantee the reliability of transmission, avoid the data disappearance, influence the head of a family end to the remote early warning of children's end and remind.
The invention provides an intelligent monitoring and reminding method for children drinking, which is characterized in that drinking vibration information of the children in a drinking process is collected, the drinking total amount is adjusted in an auxiliary mode according to the drinking vibration information, and the step of obtaining the final drinking amount comprises the following steps:
when the child starts to carry the kettle and does not drink water, monitoring the water quantity in the kettle of the child in real time, and monitoring the operation of the child on the kettle in real time;
judging whether the children destroy the water in the kettle or not according to the real-time monitoring result, and if so, carrying out early warning reminding;
otherwise, monitoring the throat vibration frequency and vibration amplitude of the child in the drinking process of the child;
verifying whether the vibration frequency and the vibration amplitude are fake drinking data or not based on a verification data model, if so, obtaining a first weight corresponding to the vibration frequency and the vibration amplitude, and performing auxiliary adjustment on the total drinking amount based on the first weight to obtain the final drinking amount;
otherwise, acquiring a second weight corresponding to the vibration frequency and the vibration amplitude, and performing auxiliary adjustment on the total water drinking amount based on the second weight to obtain the final water drinking amount;
the verification data model is determined based on the normal drinking state of the child, the vibration frequency and vibration amplitude in the normal drinking process and the normal growth factor.
In this embodiment, when the verification result is false drinking, the corresponding first weight approaches to 0, and when the verification result is not false drinking, the corresponding second weight approaches to 1.
The beneficial effects of the above technical scheme are: through carrying out real-time supervision to the kettle, avoid children to destroy the operation, through monitoring children's frequency of vibration and vibration amplitude, be convenient for avoid acquireing the data of pseudo drinking water, simultaneously, be convenient for give the different weighted value of frequency of vibration and vibration amplitude according to verifying the result, and then through supplementary adjustment, obtain the final water volume of drinking water.
The invention provides an intelligent monitoring and reminding method for children drinking, which comprises the following steps of after the final drinking amount is obtained:
based on a conversion rule, converting the final drinking water amount into a corresponding target score, acquiring a corresponding reward when the target score reaches a preset value, and actively triggering the gift transaction related to the reward in the online shopping mall and a corresponding parent end to pay for and purchase the transacted gift;
wherein, after obtaining the final drinking water amount, the method further comprises the following steps:
and acquiring the geographic position of the child, dividing units, performing unit rating according to the unit division result and the corresponding target score, and pushing a rating result based on a time rule.
In this embodiment, the reward may be a honor and a prize set by a school, a class, a parent, or the like, or may be a corresponding prize set by a parent in a mall on the home terminal.
In this embodiment, after the transaction is completed, the online mall merchant sends out the award gift express to the corresponding award user terminal entity address.
In this embodiment, the units are divided, for example, the units are divided in units of country, province, city, county, street, school, and class, and the scores PK and the scores are selected based on the divided units;
in this embodiment, the time rule is to push the rating results according to the time length of each day, each week, each month, each school period and each year, for example.
The beneficial effects of the above technical scheme are: the drinking data of the children is changed into scores through a system, the children obtain the scores, and PK evaluation can be carried out on the scores and classmates and friends in a preset unit range; the reward can be obtained through the score, the initiative and the interestingness of the children drinking are improved, the conflict emotion of the children on the drinking supervision method is effectively reduced, and the user experience is improved.
The invention provides an intelligent monitoring and reminding device for children drinking, as shown in fig. 2, comprising:
the monitoring module is used for monitoring drinking posture data of the children in a preset time period in real time;
the judging module is used for judging whether the drinking posture data is empty or not, and if so, early warning reminding is carried out;
otherwise, determining drinking information of the children according to the drinking posture data, and estimating the total drinking amount of the children based on a drinking data model;
the acquisition module is used for acquiring drinking vibration information of the children in the drinking process, performing auxiliary adjustment on the total drinking amount according to the drinking vibration information to obtain the final drinking amount, and transmitting the final drinking amount to the display module for displaying;
the monitoring module, the judging module and the collecting module realize respective corresponding functions based on the setting of the radar sensor.
In the embodiment, each executed operation can be realized based on the smart watch, for example, the monitoring module can also be implemented as a sensor such as an acceleration gyroscope and the like, so as to measure three drinking posture data of the arm, the arm and the arm of the child drinking water, obtain the drinking times of the child, the drinking duration of the child drinking water and the inclination degree of the gesture for urgently drinking water, and further measure and calculate the total drinking amount of the child through data modeling;
in this embodiment, the monitoring module, the judging module and the collecting module can be implemented as radar wave sensors, which has the advantages that the monitoring of complex data such as gyroscopes can be omitted, parameters such as cup capacity, drinking volume and exploring drinking action of a child drinking cup can be constructed by directly using the radar wave sensors, and finally the drinking amount is obtained. The radar wave sensor can detect the micro-motion data of the human body when drinking water, and the radar wave sensor can detect the vibration information of the water drinking along the throat part, so that the water drinking amount is analyzed and estimated. Meanwhile, the radar wave sensor has wide emitting range, compared with the traditional laser, infrared and other technologies, the radar wave sensor is not limited by the shielding of sleeves, and the emitting opening does not need to face the throat.
The acquisition module can also be implemented as a sound sensor (sound film sensor) to acquire weak drinking vibration and sound of the throat, so that misjudgment of measurement data and 'cheating' of child drinking data are further prevented.
The display module may be implemented as a display screen or the like to display reminders or the like.
The corresponding remote instruction in the early warning reminder is to remind the child to drink water in a form of short message or telephone when the family end does not receive the drinking data of the child in the same day, for example.
In the embodiment, after the water drinking amount of the child is qualified on the day, the virtual reward can be sent to the child remotely, and the water drinking enthusiasm is improved.
The beneficial effects of the above technical scheme are: the drinking water amount is determined by monitoring drinking posture data and drinking water vibration information, so that children can be reminded of drinking water in time.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. The utility model provides a method is reminded to intelligent monitoring of children drinking water which characterized in that includes:
monitoring drinking scenes and corresponding drinking posture data of the children in a preset time period in real time;
judging whether the drinking posture data is empty or not, and if so, carrying out early warning reminding;
otherwise, determining drinking information of the children according to the drinking scene and the corresponding drinking posture data, and estimating the total drinking amount of the children based on a drinking data model;
meanwhile, collecting drinking vibration information of the children in the drinking process, and performing auxiliary adjustment on the total drinking amount according to the drinking vibration information to obtain the final drinking amount and display the final drinking amount;
gather children are in the vibrations information of drinking water in-process to according to the vibrations information of drinking water is right the total amount of drinking water carries out supplementary adjustment, and the step of obtaining final water volume includes:
when the child starts to carry the kettle and does not drink water, monitoring the water quantity in the kettle of the child in real time, and monitoring the operation of the child on the kettle in real time;
judging whether the children destroy the water in the kettle or not according to the real-time monitoring result, and if so, carrying out early warning reminding;
otherwise, monitoring the throat vibration frequency and vibration amplitude of the child in the drinking process of the child;
verifying whether the vibration frequency and the vibration amplitude are fake drinking data or not based on a verification data model, if so, obtaining a first weight corresponding to the vibration frequency and the vibration amplitude, and performing auxiliary adjustment on the total drinking amount based on the first weight to obtain the final drinking amount;
otherwise, acquiring a second weight corresponding to the vibration frequency and the vibration amplitude, and performing auxiliary adjustment on the total water drinking amount based on the second weight to obtain the final water drinking amount;
the verification data model is determined based on the normal drinking state of the child, the vibration frequency and vibration amplitude in the normal drinking process and the normal growth factor.
2. The intelligent monitoring alert method of claim 1,
the drinking scene comprises: the children grab a cup drinking scene and use a straw to drink the water;
the drinking posture data includes: the arm-raising data, the arm-raising data and the arm-falling data of the child;
the drinking information includes: the drinking times, drinking duration and gesture inclination degree of the children during drinking.
3. The intelligent monitoring alert method of claim 1, wherein the early warning alert comprises: any one or a combination of a vibration reminder, a display reminder, a ringtone reminder and a remote reminder.
4. The intelligent monitoring reminding method of claim 1, wherein the step of judging whether the drinking posture data is empty comprises:
calling and searching a storage area for storing the drinking attitude data according to a preset storage path;
acquiring a regional storage log of the storage region, and judging whether new data exist in the preset time period or not according to the regional storage log;
if yes, determining the data attribute of the newly added data;
otherwise, judging that the drinking posture data is empty;
after determining the data attribute of the newly added data, determining the data type to which the data attribute belongs according to an attribute mapping table;
when the data type is related to the storage area, judging that the drinking posture data is empty;
otherwise, judging that the drinking posture data is not empty.
5. The intelligent monitoring and reminding method of claim 1, wherein the step of determining drinking information of the child according to the drinking posture data comprises:
positioning a target point of the arm of the child, and acquiring continuous actions of a preset point in a preset time period according to the coordinate change of the target point in a standard plane, wherein the continuous actions comprise: arm raising action, arm raising action and arm lowering action;
the continuous actions are split according to arm lifting actions, arm lifting actions and arm falling actions;
acquiring arm starting data of the split arm starting motion based on the drinking posture data, and constructing an arm starting vector of the arm starting data;
acquiring the arm data of the split arm movement based on the drinking posture data, and constructing an arm vector of the arm data;
based on the drinking posture data, acquiring falling arm data of the split arm raising motion, and constructing a falling arm vector of the falling arm data;
extracting first coherent data from arm raising action to arm raising action and constructing a first coherent vector based on the water drinking posture data, and simultaneously extracting second coherent data from arm raising action to arm lowering action and constructing a second coherent vector;
constructing a current action model of the child according to the arm raising vector, the arm raising vector and the arm falling vector, inputting the current action model into a standard drinking model, determining whether the drinking action of the child is standard or not, and if so, determining the drinking duration of the child at the preset point and the gesture inclination degree during drinking;
if the child does not have the standard drinking motion, optimizing the current motion model based on the first coherent vector and the second coherent vector, inputting the optimized current motion model into a standard drinking model, and determining whether the child drinking motion is standard again;
if the number of times of drinking water at the preset point is not standard, the number of times of drinking water at the preset point is not counted, the drinking water duration and the gesture inclination degree during drinking water are determined for other preset points in the preset time period, and meanwhile whether the number of times of drinking water corresponding to the number of times of drinking water is counted is judged.
6. The intelligent monitoring and reminding method according to claim 1, wherein after monitoring that drinking posture data of the child in a preset time period is empty and performing early warning and reminding, the method further comprises:
establishing a binding relationship between a child end of the child and a corresponding parent end;
when the home agent sends a remote viewing instruction to the bound child, calculating a secret value Z of the remote viewing instruction according to the following formula, and determining the encryption probability of the remote viewing instruction according to the secret value;
wherein n represents the total number of target operation steps involved in the remote view instruction;
the operation weight value of the ith target operation step in the operation process is represented; h represents a security protection value of a category to which the remote view instruction belongs;
representing the probability value of the i-th target operation step being attacked in the operation process;
representing the attacked average probability values corresponding to the n target operation steps;
representing a maximum operating weight value in the n target operating steps;
representing average operation weight values corresponding to the n target operation steps; rand represents a random function and has a value range of [3, 4 ]](ii) a e represents a natural logarithm;
representing the maximum probability value of a certain corresponding step in the n target operation steps;
according to the encryption probability, a relevant encryption probability set is called from an encryption database, the encryption probability set is divided into even layers according to a micro variation rule, a screening value S is calculated according to the following formula, and a plurality of corresponding encryption modes are called from different probability encryption layers to carry out superposition combination encryption on the remote viewing instruction based on the screening value and a random encryption rule;
wherein m represents the total number of layers after even-numbered layer division is carried out on the encryption probability set;
representing the encryption effective value of the jth probability encryption layer;
representing a correlation value between the jth probability encryption layer and the encryption probability P;
representing the probability of the encryption mode which can be called in the jth probability encryption layer;
is shown as
The probability of the encryption mode which can be called in the probability encryption layer; k represents the average probability of the encryption modes which can be called in the m probability encryption layers;
after the monitoring end for monitoring the children receives the encrypted remote viewing instruction, decrypting the encrypted remote viewing instruction, and meanwhile, clearing attack information carried in the encrypted remote viewing instruction based on a software platform;
acquiring video information of the child monitored by the monitoring end according to the decryption processing result and the clearing processing result;
wherein the video information is associated with drinking information of the child.
7. The intelligent monitoring and reminding method according to claim 6, wherein after acquiring the video information of the child monitored by the monitoring terminal, the method further comprises:
acquiring video coding data of the video information and transmission limitation transmitted to a home terminal, screening a reverse encryption set according to the video coding data and the transmission limitation, and performing reverse encryption on the video information according to the reverse encryption set;
acquiring the transmission capacity of the reversely encrypted video information, and acquiring a capacity adjustment factor when the transmission capacity is larger than a preset capacity;
and matching reverse encryption modes in the reverse encryption set based on the capacity adjustment factor, performing comprehensive sequencing of the encryption weight and the encryption specific capacity from large to small on the matched reverse encryption modes, removing the reverse encryption mode with the minimum comprehensive sequencing according to a comprehensive sequencing result, re-encrypting the video information, and re-judging whether the transmission capacity of the encrypted video information is greater than the preset capacity, if so, continuing to adjust until the transmission capacity is less than or equal to the preset capacity.
8. The intelligent monitoring and reminding method of claim 1, wherein after obtaining the final drinking amount, the method further comprises:
based on a conversion rule, converting the final drinking water amount into a corresponding target score, acquiring a corresponding reward when the target score reaches a preset value, and actively triggering the gift transaction related to the reward in the online shopping mall and a corresponding parent end to pay for and purchase the transacted gift;
wherein, after obtaining the final drinking water amount, the method further comprises the following steps:
and acquiring the geographic position of the child, dividing units, performing unit rating according to the unit division result and the corresponding target score, and pushing a rating result based on a time rule.
9. The utility model provides an intelligent monitoring reminding device to children drink water which characterized in that includes:
the monitoring module is used for monitoring drinking posture data of the children in a preset time period in real time;
the judging module is used for judging whether the drinking posture data is empty or not, and if so, early warning reminding is carried out;
otherwise, determining drinking information of the children according to the drinking posture data, and estimating the total drinking amount of the children based on a drinking data model;
the acquisition module is used for acquiring drinking vibration information of the children in the drinking process, performing auxiliary adjustment on the total drinking amount according to the drinking vibration information to obtain the final drinking amount, and transmitting the final drinking amount to the display module for displaying;
the monitoring module, the judging module and the collecting module realize respective corresponding functions based on the setting of the radar sensor;
gather children are in the vibrations information of drinking water in-process to according to the vibrations information of drinking water is right the total amount of drinking water carries out supplementary adjustment, and the step of obtaining final water volume includes:
when the child starts to carry the kettle and does not drink water, monitoring the water quantity in the kettle of the child in real time, and monitoring the operation of the child on the kettle in real time;
judging whether the children destroy the water in the kettle or not according to the real-time monitoring result, and if so, carrying out early warning reminding;
otherwise, monitoring the throat vibration frequency and vibration amplitude of the child in the drinking process of the child;
verifying whether the vibration frequency and the vibration amplitude are fake drinking data or not based on a verification data model, if so, obtaining a first weight corresponding to the vibration frequency and the vibration amplitude, and performing auxiliary adjustment on the total drinking amount based on the first weight to obtain the final drinking amount;
otherwise, acquiring a second weight corresponding to the vibration frequency and the vibration amplitude, and performing auxiliary adjustment on the total water drinking amount based on the second weight to obtain the final water drinking amount;
the verification data model is determined based on the normal drinking state of the child, the vibration frequency and vibration amplitude in the normal drinking process and the normal growth factor.
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| CN113923293B (en) * | 2021-12-13 | 2022-05-17 | 荣耀终端有限公司 | Drinking reminding method and electronic equipment |
| CN114821992B (en) * | 2022-04-25 | 2024-03-12 | 歌尔股份有限公司 | Water drinking reminding method and device, terminal equipment and computer readable storage medium |
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