CN113892784B - Intelligent control method, system, terminal and storage medium for temperature control mattress - Google Patents
Intelligent control method, system, terminal and storage medium for temperature control mattress Download PDFInfo
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- CN113892784B CN113892784B CN202111312133.9A CN202111312133A CN113892784B CN 113892784 B CN113892784 B CN 113892784B CN 202111312133 A CN202111312133 A CN 202111312133A CN 113892784 B CN113892784 B CN 113892784B
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C31/00—Details or accessories for chairs, beds, or the like, not provided for in other groups of this subclass, e.g. upholstery fasteners, mattress protectors, stretching devices for mattress nets
- A47C31/12—Means, e.g. measuring means for adapting chairs, beds or mattresses to the shape or weight of persons
- A47C31/123—Means, e.g. measuring means for adapting chairs, beds or mattresses to the shape or weight of persons for beds or mattresses
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C21/00—Attachments for beds, e.g. sheet holders, bed-cover holders; Ventilating, cooling or heating means in connection with bedsteads or mattresses
- A47C21/04—Devices for ventilating, cooling or heating
- A47C21/042—Devices for ventilating, cooling or heating for ventilating or cooling
- A47C21/046—Devices for ventilating, cooling or heating for ventilating or cooling without active means, e.g. with openings or heat conductors
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C21/00—Attachments for beds, e.g. sheet holders, bed-cover holders; Ventilating, cooling or heating means in connection with bedsteads or mattresses
- A47C21/04—Devices for ventilating, cooling or heating
- A47C21/048—Devices for ventilating, cooling or heating for heating
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C23/00—Spring mattresses with rigid frame or forming part of the bedstead, e.g. box springs; Divan bases; Slatted bed bases
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C27/00—Spring, stuffed or fluid mattresses or cushions specially adapted for chairs, beds or sofas
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- Mattresses And Other Support Structures For Chairs And Beds (AREA)
Abstract
The application relates to an intelligent regulation and control method, a system, a terminal and a storage medium of a temperature control mattress, relates to the field of intelligent home, solves the problem that the temperature provided by the temperature control mattress can not meet the requirement of a user in time easily, and comprises the following steps: acquiring stage information of a user using the temperature control mattress; if the stage information is information before the temperature control mattress is prepared to be used or information when the temperature control mattress is being used, analyzing and confirming temperature data required to be set at different region positions of the mattress at the time, and sending the analyzed and confirmed temperature data for controlling the different region positions of the mattress at the time to be adjusted from the current temperature data to the temperature control mattress; and if the stage information is information for preparing to stop using the temperature control mattress, sending individual waking-up information for closing the temperature control mattress temperature control system to the temperature control mattress. The application has the following effects: the temperature provided by the temperature control mattress can meet the requirements of users more timely.
Description
Technical Field
The application relates to the field of smart home, in particular to an intelligent control method, an intelligent control system, a terminal and a storage medium for a temperature control mattress.
Background
Along with the rapid development of terminal technology, smart home starts to be popularized in each family, wherein the intelligence of the mattress is more and more paid attention by the public, and particularly the rise of the temperature control mattress brings great benefits to the sleep of human beings.
The temperature control of current traditional control by temperature change mattress is mainly with mattress intensification or cooling to a certain temperature, follow-up if do not satisfy current user in the in-service use needs to the temperature, the user adjusts required temperature through manual mode again.
With respect to the related art in the above, the inventors consider that there are the following drawbacks: the temperature control mode of traditional control by temperature change mattress is fixed mode, and the user can change along with factors such as season, the ambient temperature of locating to the demand of mattress temperature, in case the temperature that traditional control by temperature change mattress was adjusted is great with the required mattress temperature disparity of user, even then follow-up user manual regulation, also cause the temperature that the control by temperature change mattress provided can't in time satisfy user's demand easily.
Disclosure of Invention
In order to enable the temperature provided by the temperature control mattress to meet the requirements of users in time, the application provides an intelligent control method, system, terminal and storage medium of the temperature control mattress.
In a first aspect, the application provides an intelligent control method for a temperature-controlled mattress, which adopts the following technical scheme:
an intelligent control method of a temperature control mattress comprises the following steps:
acquiring stage information of a user using the temperature control mattress; the stage information comprises information before the temperature control mattress is prepared to be used, information when the temperature control mattress is used and information for preparing to stop using the temperature control mattress;
if the stage information is information before the temperature control mattress is prepared to be used or information before the temperature control mattress is used, analyzing and confirming temperature data required to be set at different region positions of the mattress at this time based on preset temperature data required to be set at different region positions of the mattress corresponding to the corresponding stage information and/or temperature data of different region positions of the mattress set at the corresponding stage in individual history;
sending the temperature data which is analyzed and confirmed and is used for controlling the positions of different areas of the mattress to be adjusted from the current temperature data to the temperature control mattress;
and if the stage information is information for preparing to stop using the temperature control mattress, sending individual waking-up information for closing the temperature control mattress temperature control system to the temperature control mattress.
Through adopting above-mentioned technical scheme, can in time acquire the stage information that the user used the control by temperature change mattress, and based on the stage information that the user used the control by temperature change mattress, and the temperature data of the different regional position of mattress that corresponding user's corresponding stage set up and the temperature data that the different regional position of mattress that predetermines that corresponding stage information corresponds was required to be set for, the required temperature data that sets up of this different regional position of mattress is confirmed in the integrated analysis, thereby the temperature that makes the control by temperature change mattress provide can accord with user's demand more, the trouble that the user adjusted control by temperature change mattress temperature is reduced as far as possible.
Optionally, if the obtained stage information of the user using the temperature-controlled mattress is information before the user prepares to use the temperature-controlled mattress,
the information before the temperature control mattress is prepared to be used comprises a starting signal for an individual to start a temperature control system of the temperature control mattress and/or a lying induction signal for the individual to lie on the temperature control mattress;
the preset temperature data required to be set at different areas of the mattress corresponding to the corresponding stage information is the corresponding relation between the seasonal information and the temperature data required to be set before sleep at different areas of the mattress;
the temperature data of different region positions of the mattress set by the individual history at corresponding stages are the temperature data set before the individual sleeps at different region positions of the history of different seasons.
Through adopting above-mentioned technical scheme, because the information that prepares to use before the temperature control mattress contains has individual start temperature control mattress temperature control system's actuating signal and individual temperature control mattress's of lying down the sensing signal, compare in only the mode that the user remote control temperature control mattress starts at present, can be better whether analysis goes out the user and prepares to use the temperature control mattress, the temperature data of the different regional positions of mattress that follow-up corresponding phase set up has also taken into account the follow-up temperature condition of adjusting and the temperature condition of predetermineeing of individual in different seasons comprehensively in addition, can make this time the better needs that satisfy the user of the temperature data that the different regional positions of mattress need set up.
Optionally, analyzing and confirming the temperature data of the mattress required to be set at different region positions comprises:
acquiring identity information of an individual;
inquiring whether the individual sets the use priority of the root information or not based on the identity information of the individual;
if so, confirming the root information which is used preferentially based on the use priority of the root information which is set by the individual, wherein the root information comprises corresponding relation based on the season information and temperature data which are required to be set before sleeping at different regional positions of the mattress and temperature data which are set before sleeping at different regional positions of the individual in different seasons and histories to which the individual belongs;
analyzing and confirming temperature data required to be set before sleeping in different areas of the mattress based on the confirmed root information used preferentially;
if not, predicting and analyzing the root information priority information of the individual tendency according to the analyzed and confirmed individual identity information and the corresponding relation between the preset individual identity information and the temperature data required to be set before sleep at different historical subsequent readjusted area positions and the temperature difference data of the initially analyzed and confirmed temperature data, and confirming the root information used preferentially;
and analyzing and confirming temperature data required to be set before sleep in different areas of the mattress based on the root information confirmed to be preferentially used.
Through adopting above-mentioned technical scheme, can be based on the individual actuating signal that starts temperature control mattress temperature control system and/or the individual sensing signal that lies down of lying temperature control mattress, effective analysis goes out individual identity information, and then whether the use priority of corresponding individual setting root cause information, and whether the condition of the use priority of individual setting root cause information, the temperature data that the different regional positions of mattress need set up before sleeping is confirmed in the analysis, the temperature that provides for follow-up temperature control mattress satisfies individual demand and establishes the basis.
Optionally, the obtaining identity information of the individual includes:
analyzing the acquired signal;
if the acquired signal is only a starting signal for starting the temperature control system of the temperature control mattress by the individual, acquiring probability data of starting the temperature control system of the temperature control mattress by the individual with different identity information at the current time according to the corresponding relation of the individual identity information and probability data of starting the temperature control system of the temperature control mattress at different time periods corresponding to the individual identity information history, and selecting the individual identity information corresponding to the maximum probability data as the individual identity information confirmed by predictive analysis;
if the signal is only the lying induction signal of the individual lying temperature control mattress, analyzing and confirming probability data of the individual lying temperature control mattress with different identity information at the current time according to the individual identity information, probability information of weight information of the historical lying temperature control mattress corresponding to the individual identity information history and probability information of the mattress on the individual carrying object;
if a starting signal for starting the temperature control system of the temperature control mattress by the individual and a lying induction signal of the temperature control mattress by the individual are received at the same time, the individual identity information which is only analyzed and confirmed by the lying induction signal of the temperature control mattress by the individual is taken as the individual identity information which is analyzed and confirmed at this time.
By adopting the technical scheme, how to reversely deduce and analyze the individual identity information based on the acquired signals is specifically disclosed, and different scene modes which are suitable for analyzing the individual identity information based on the corresponding signal conditions are established according to the acquired signal conditions, so that a foundation is laid for more accurately analyzing the individual identity information.
Optionally, analyzing probability data of the temperature-controlled mattress for the individuals with different identity information to lie down at the current time period includes:
according to the corresponding relation among the individual identity information, probability information of the mattress on the carrying object corresponding to the corresponding identity information individual, weight pressure distribution information of the corresponding identity information individual and probability information of the mattress on which the corresponding identity information individual lies, probability information of the mattress on the carrying object of different identity information individuals, weight pressure distribution information and probability information of the mattress on which the corresponding identity information individual lies are obtained;
analyzing and acquiring the distribution probability of each individual on different pressure information of the mattress based on the probability information and weight distribution information of the mattress on the article carried by the individual with different identity information, and taking the product of the distribution probability of each individual on different pressure information of the mattress and the probability of the corresponding individual lying on the mattress as the overall distribution probability of the pressure information of each individual lying on the mattress to form an overall distribution probability database of the pressure information of the individual lying on the mattress;
based on the currently acquired pressure information, searching the overall distribution probability of the pressure information of the individual lying on the mattress corresponding to the current pressure information from the overall distribution probability database, and using the overall distribution probability as second probability data of the temperature-controlled mattress lying on the current time period by the individual with different identity information analyzed and confirmed.
By adopting the technical scheme, how to analyze and confirm the probability data of the temperature-controlled mattress of the individual with different identity information lying at the current time is specifically disclosed, the probability information of the mattress on an object carried by the individual with different identity information, the weight pressure distribution information and the probability information of the mattress lying are comprehensively considered, and an overall distribution probability database of the pressure information of the individual lying on the mattress can be constructed and formed, so that the second probability data of the temperature-controlled mattress of the individual with different identity information lying at the current time can be more accurately analyzed.
Optionally, the predicting and analyzing the information of the priority of the root information about the tendency of the individual includes:
inquiring and acquiring the temperature data required to be set before sleep of the individual at the historical subsequent readjusted different area positions analyzed and confirmed and the temperature difference data of the temperature data initially analyzed and confirmed according to the analyzed and confirmed individual identity information and the corresponding relation between the preset individual identity information and the temperature data required to be set before sleep of the historical subsequent readjusted different area positions and the temperature difference data initially analyzed and confirmed;
and analyzing and calculating the sum of the temperature difference data corresponding to the temperature data initially analyzed and confirmed by different pieces of root information based on the temperature difference data readjusted every time in the preset time period adjacent to the current time period and the root information of the initially analyzed and confirmed temperature data, selecting the root information corresponding to the minimum sum of the temperature difference data as the root information preferentially used at this time, and selecting the other root information as the root information used for secondary selection.
By adopting the technical scheme, the condition that the individual does not set the priority is further considered, at the moment, the corresponding relation between the analyzed and confirmed individual identity information and the preset individual identity information and the temperature data needed to be set before sleeping at different areas and the temperature difference data confirmed by the initial analysis is combined, the root information that the temperature of the individual is more close to the temperature which the individual wants to set at this time can be effectively analyzed and confirmed by analysis and confirmation after the temperature control mattress is used, and therefore the temperature regulated by the temperature control mattress can meet the requirements of the user more timely.
Optionally, when the information of the stage that the user uses the temperature-controlled mattress is obtained as the information of using the temperature-controlled mattress,
the information of using the temperature control mattress comprises a sleep signal set by the individual and/or a sleep induction signal for the individual to fall asleep;
the preset temperature data at different areas of the mattress corresponding to the corresponding stage information are the temperature data at different positions of the mattress in different sleep time periods after the mattress falls asleep;
the temperature data of different areas of the mattress set by the individual history in the corresponding stage are the temperature data of different positions of the mattress in different sleep time periods after falling asleep preset by the individual.
By adopting the technical scheme, because the information of the temperature control mattress is used comprises the falling-asleep signal set by the individual and/or the falling-asleep induction signal set by the individual, compared with the condition that the temperature of the temperature control mattress is adjusted by the user before sleeping at present, the stage information of the user can be analyzed more accurately, in addition, the temperature data of different regions and positions of the mattress set at the subsequent corresponding stage also comprehensively considers the temperature data of different positions and positions of the mattress at different sleeping time periods after falling asleep fixedly and the temperature data of different positions and positions of the mattress at different sleeping time periods after falling asleep preset by the individual, and the requirements of the user can be better met by the temperature data required to be set at different regions and positions of the mattress at this time.
In a second aspect, the present application provides an intelligent control system for a temperature controlled mattress, which adopts the following technical scheme:
an intelligent control system for a temperature-controlled mattress comprises a memory, a processor and a program stored on the memory and capable of running on the processor, wherein the program can be loaded and executed by the processor to implement the intelligent control method for a temperature-controlled mattress according to the first aspect.
Through adopting above-mentioned technical scheme, through the calling of relevant procedure, can in time acquire the stage information that the user used the control by temperature change mattress, and based on the stage information that the user used the control by temperature change mattress, and the temperature data of the different regional position of mattress that corresponding user's corresponding stage set up and the temperature data that the different regional position of mattress that predetermines that corresponding stage information corresponds was required to be set for, the required temperature data that sets up of this different regional position of mattress is confirmed in the integrated analysis, thereby the temperature that makes the control by temperature change mattress provide can accord with user's demand more, the trouble that the user adjusted control by temperature change mattress temperature is reduced as far as possible.
In a third aspect, the present application provides a computer storage medium, which adopts the following technical solutions:
a computer storage medium comprising a program which is capable of being loaded by a processor and which when executed performs a method of intelligent temperature control of a temperature controlled mattress as described in the first aspect.
Through adopting above-mentioned technical scheme, through the calling of relevant procedure, can in time acquire the stage information that the user used the control by temperature change mattress, and based on the stage information that the user used the control by temperature change mattress, and the temperature data of the different regional position of mattress that corresponding user's corresponding stage set up and the temperature data that the different regional position of mattress that predetermines that corresponding stage information corresponds was required to be set for, the required temperature data that sets up of this different regional position of mattress is confirmed in the integrated analysis, thereby the temperature that makes the control by temperature change mattress provide can accord with user's demand more, the trouble that the user adjusted control by temperature change mattress temperature is reduced as far as possible.
In a fourth aspect, the present application provides a terminal, which adopts the following technical solutions:
a terminal, comprising a memory, a processor and a program stored in the memory and executable on the processor, wherein the program can be loaded and executed by the processor to implement the intelligent control method for a temperature-controlled mattress according to the first aspect.
Through adopting above-mentioned technical scheme, through the calling of relevant procedure, can in time acquire the stage information that the user used the control by temperature change mattress, and based on the stage information that the user used the control by temperature change mattress, and the temperature data of the different regional position of mattress that corresponding user's corresponding stage set up and the temperature data that the different regional position of mattress that predetermines that corresponding stage information corresponds was required to be set for, the required temperature data that sets up of this different regional position of mattress is confirmed in the integrated analysis, thereby the temperature that makes the control by temperature change mattress provide can accord with user's demand more, the trouble that the user adjusted control by temperature change mattress temperature is reduced as far as possible.
To sum up, the beneficial technical effect of this application does:
1. the temperature that the user wants to transfer can be analyzed and confirmed by combining the stage information of the user using the temperature control mattress, and the temperature can be transferred in advance, so that the trouble of subsequent transfer of the user is reduced;
2. when the temperature that the user wants to transfer is confirmed in the analysis, the identity of the user can be effectively predicted and analyzed based on the signal condition, and therefore a foundation is laid for follow-up more accurate analysis and confirmation of the temperature that the user wants to transfer.
Drawings
Fig. 1 is an overall step schematic diagram of an intelligent control method for a temperature-controlled mattress according to an embodiment of the present application.
Fig. 2 is a schematic diagram of the step of analyzing and confirming the temperature data required to be set at different areas of the mattress when the information about the stage of using the temperature-controlled mattress by the user mentioned in step S100 in fig. 1 is information about the stage before the user prepares to use the temperature-controlled mattress.
Fig. 3 is a detailed step diagram of step Sa10 in fig. 2.
Fig. 4 is a schematic diagram of the steps mentioned in step Sa1B in fig. 3 for analyzing probability data of individuals with different identity information lying on the temperature-controlled mattress at the current time.
Fig. 5 is a graph showing probability data of an individual confirming different identity information in step SAa0 in fig. 2 lying on a temperature-controlled mattress at the current time.
Fig. 6 is a schematic diagram of the step of analyzing and confirming the temperature data required to be set at different region positions of the mattress when the stage information of using the temperature-controlled mattress by the user mentioned in step S100 in fig. 1 is information before the user uses the temperature-controlled mattress.
Detailed Description
The present application is described in further detail below with reference to the attached drawings.
Before introducing the present application, a temperature control system for a temperature controlled mattress is first introduced, the temperature control system for the temperature controlled mattress is set based on the temperature of a water tank inside a machine, and when the set temperature is determined, the machine stabilizes the temperature inside the water tank within the set temperature by heating or cooling.
Wherein, there is heat loss in the temperature in the process of transmission, and the heat energy loss follows the heat balance theory, according to the calculation formula of the steady-state heat transfer theory:
wherein Ql is heat loss in the water pipe per unit length in unit time, kJ/(m.d), Ta is indoor temperature, DEG C, R is thermal resistance on the pipe per unit length, kJ/(m.d.. DEG C) -1. From the formula, it follows: the main factors affecting heat loss are indoor temperature, thermal resistance of the pipeline, heat conductivity coefficient of the pipeline, outer radius of the heat preservation layer, inner radius of the pipeline, convection heat release coefficient and the like. After the structure and material design of the temperature control mattress is determined, the numerical value of R in the formula is related to the material of a water pipe used by the temperature control mattress machine and the thermal resistance of the inner diameter of a thermal insulation material, and the coefficients are constant values, so that the heat loss factor is mainly influenced by the indoor temperature.
Therefore, under the winter environment, the temperature control mattress mainly uses the heating function, and can be known according to the heat conduction formula: the main influence factor of the heat loss is mainly the temperature difference value of the internal temperature and the external temperature; under summer environment, the refrigeration function is mainly used to accuse temperature mattress, can learn according to the heat-conduction formula: the main influence factor of the heat loss is the temperature difference between the internal temperature and the external temperature.
Referring to fig. 1, the intelligent control method for a temperature controlled mattress disclosed by the present application includes step S100, step S200, step S300, and step SA 00.
In step S100, stage information of using the temperature-controlled mattress by the user is obtained, wherein the stage information includes information before the temperature-controlled mattress is ready to be used, information of using the temperature-controlled mattress, and information of preparing to stop using the temperature-controlled mattress.
In step S200, if the stage information is information before the temperature-controlled mattress is ready to be used or information during the use of the temperature-controlled mattress, the temperature data required to be set at the different region positions of the mattress at this time is analyzed and determined based on the preset temperature data at the different region positions of the mattress corresponding to the corresponding stage information and/or the temperature data at the different region positions of the mattress set at the corresponding stage in the individual history.
In step S300, the analyzed and confirmed temperature data for controlling the position of the different regions of the mattress at this time, which is required to be adjusted from the current temperature data, is sent to the temperature-controlled mattress.
When the stage information of using the temperature control mattress by the user obtained in the step S100 is information before the user prepares to use the temperature control mattress, the information before preparing to use the temperature control mattress includes a start signal for an individual to start a temperature control system of the temperature control mattress and/or a lying induction signal for the individual to lie on the temperature control mattress; the preset temperature data required to be set at different areas of the mattress corresponding to the corresponding stage information is the corresponding relation between the seasonal information and the temperature data required to be set before sleep at different areas of the mattress; the temperature data of different region positions of the mattress set by the individual history at corresponding stages are the temperature data set before the individual sleeps at different region positions of the history of different seasons.
It should be noted that the start signal for starting the temperature control system of the temperature control mattress by the individual may be a signal for starting the main temperature controller before the individual sleeps, the signal triggers the temperature control system of the temperature control mattress to be really started, and the starting time of the temperature control system can be freely controlled by the individual.
The lying induction signal of the temperature control mattress for the individual to lie can be that when the individual lies on the temperature control mattress, the detection device arranged on the temperature control mattress senses whether the individual lies on the temperature control mattress, wherein the means for sensing whether the individual lies on the temperature control mattress is various, the weighing detection mode can be adopted, the shooting detection mode can be adopted for detecting whether the individual lies, and the detection means includes the above forms but is not limited to the above forms.
In addition, the corresponding relationship between the season information and the temperature data required to be set before sleep at different regional positions of the mattress can be obtained by inquiring from a database in which the season information and the temperature data required to be set before sleep at different regional positions of the mattress are stored, and similarly, the temperature data set before sleep at different regional positions of the individual in different historical seasons can also be obtained by inquiring from a database in which the season information and the temperature data required to be set before sleep at different regional positions of the mattress are stored.
For example, the correspondence between the seasonal information and the temperature data required to be set before sleep at different locations of the mattress may be such that: wherein, the temperature of the three zones in the precooling mode suitable for summer is respectively set to be 19 ℃, 21 ℃ and 22 ℃ (the neck-shoulder zone/waist-back zone/lower limb zone are sequentially arranged). The preheating mode three divisions suitable for winter are set to 30 ℃, 30 ℃ and 31 ℃ respectively.
Referring to fig. 2, the analysis of the temperature data required to be set at different positions of the mattress is performed in consideration of how to combine the corresponding relationship between the season information and the temperature data required to be set before sleep at different positions of the mattress and the temperature data required to be set before sleep at different positions of different regional histories of different affiliated seasons, and specifically includes step Sa10, step Sa20, step Sa30, step SaA0 and step SaB 0.
And step Sa10, acquiring identity information of the individual.
As an implementation manner of step Sa10, the identity information of the individual may be obtained by arranging a detecting device such as face recognition or iris recognition around the temperature-controlled mattress to detect and collect corresponding identity information of the individual, and performing comparison analysis to confirm the corresponding identity information of the individual.
For example, assuming that the temperature-controlled mattress is provided with a pre-installed face recognition device, the individual can be identified through face recognition before use, and then the subsequent temperature-controlled mattress adjusts the adaptive temperature-controlled strategy based on the identity condition of the corresponding individual.
Referring to fig. 3, as another embodiment of step Sa10, considering how to analyze and obtain the identity information of the individual based on the original signal condition without adding other detection devices, the obtaining the identity information of the individual based on the above includes:
in step Sa11, the acquired signal is analyzed.
In step Sa11, the acquired signals include a start signal for the individual to start the temperature control system of the temperature controlled mattress and a lying induction signal for the individual to lie on the temperature controlled mattress.
In step Sa1A, if the acquired signal is only a start signal for an individual to start the temperature control system of the temperature control mattress, probability data of the individual with different identity information starting the temperature control system of the temperature control mattress at the current time period is acquired according to the individual identity information and the corresponding relation of probability data of starting the temperature control system of the temperature control mattress at different time periods corresponding to the individual identity information history, and the individual identity information corresponding to the maximum probability data is selected as the individual identity information determined by predictive analysis.
It should be noted that the corresponding relationship between the individual identity information and the probability data corresponding to the individual identity information for starting the temperature control system of the temperature control mattress at different historical time periods may be obtained by querying a database storing the corresponding relationship between the individual identity information and the probability data corresponding to the individual identity information for starting the temperature control system of the temperature control mattress at different historical time periods.
For example, there are three people, i.e., a person a, a person b, and a person c, and now 16 times, according to the corresponding relationship, the probability of starting the temperature control system of the temperature control mattress at the time a is 40%, the probability of starting the temperature control system of the temperature control mattress at the time b is 10%, and the probability of starting the temperature control system of the temperature control mattress at the time c is 50%, then in this scenario, the person c corresponding to the maximum probability is taken as the individual to be confirmed by the prediction analysis.
In step Sa1B, if only the lying sensing signal of the temperature controlled mattress for the individual to lie on is obtained, the probability data of the temperature controlled mattress for the individual with different identity information lying at the current time interval is analyzed and confirmed according to the individual identity information, the probability information of the weight information of the temperature controlled mattress for the history of the individual identity information corresponding to the history of the individual identity information, and the probability information of the mattress on the object carried by the individual, and the individual identity information corresponding to the maximum probability data is selected as the individual identity information to be predicted, analyzed and confirmed.
Referring to fig. 4, the probability data of the individual who analyzes and confirms different identity information to lie on the temperature-controlled mattress in the current time period by the analysis mentioned in Sa1B includes:
and step Sa1B.1, acquiring probability information of mattresses on the carrying objects of different identity information individuals, weight pressure distribution information and probability information of lying on the mattresses according to the corresponding relationship among the individual identity information, the probability information of the carrying objects corresponding to the corresponding identity information individuals, the weight pressure distribution information of the corresponding identity information individuals and the probability information of lying on the mattresses of the corresponding identity information individuals.
It should be noted that the object mentioned in the mattress carrying the object corresponding to the individual may be a throw pillow or a computer, the weight pressure refers to pressure information formed by the weight of the individual, and the weight pressure is 600N assuming that the weight of the individual is 60 KG.
And step Sa1B.2, analyzing and acquiring the distribution probability of each individual on different pressure information of the mattress based on the probability information and weight distribution information of the mattress on the article carried by the individual with different identity information, and taking the product of the distribution probability of each individual on different pressure information of the mattress and the probability of the corresponding individual lying on the mattress as the overall distribution probability of the pressure information of each individual lying on the mattress to form an overall distribution probability database of the pressure information of the individual lying on the mattress.
Wherein, the distribution probability of different pressure information of each individual in the mattress mentioned by sa1b.2 can be obtained by the following method: combining the weight pressure of the same identity individual on the temperature control mattress at every time and the weight pressure of the same identity individual, the probability that the individual does not carry the object on the mattress at ordinary times and the probability that the individual carries the object on the mattress at ordinary times can be analyzed, and by the same principle, the object can be further distinguished, and the distribution probability of each individual on different pressure information of the temperature control mattress can be further analyzed and obtained by combining the pressure information of the individual carrying the object.
For example, there are two people, i.e., a person a and a person b, where the probability of the person a on the temperature-controlled mattress is 30%, the probability of the person b on the temperature-controlled mattress is 70%, it is known that the probability of the person a on the temperature-controlled mattress is 20% when the weight pressure of the temperature-controlled mattress is 700N, the probability of the person a on the temperature-controlled mattress is 30% when the weight pressure of the temperature-controlled mattress is 600N, the probability of the person a on the temperature-controlled mattress is 50% when the weight pressure of the temperature-controlled mattress is 650N, and then the overall probability of the person a on the temperature-controlled mattress is 6% when the weight pressure of the temperature-controlled mattress is 700N, the overall probability of the person a on the temperature-controlled mattress is 9% when the weight pressure of the temperature-controlled mattress is 600N, and the probability of the person b on the temperature-controlled mattress is 15% when the weight pressure of the temperature-controlled mattress is 650N.
It is known that the probability is 10% when the weight pressure of the temperature control mattress is 700N, 20% when the weight pressure of the temperature control mattress is 750N, 70% when the weight pressure of the temperature control mattress is 650N, 7% when the weight pressure of the temperature control mattress is 700N, 14% when the weight pressure of the temperature control mattress is 750N, and 49% when the weight pressure of the temperature control mattress is 650N.
And step Sa1B.3, based on the currently acquired pressure information, searching the overall distribution probability of the pressure information of the individual lying on the mattress corresponding to the current pressure information from the overall distribution probability database, and selecting the individual identity information corresponding to the maximum overall distribution probability data as the individual identity information confirmed by predictive analysis.
Here, the currently acquired pressure information mentioned in step sa1b.3 may be acquired by detecting a pressure detection device preset on the temperature-controlled mattress.
For example, assuming that the detected weight pressure is 700N and the specific data refers to the data model exemplified by sa1b.2, the overall probability of a being 6% and the overall probability of b being 7% can be obtained.
In step Sa1C, if a start signal for starting the temperature control system of the temperature control mattress for an individual and a lying down sensing signal for the temperature control mattress for the individual are received at the same time, the individual identification information analyzed and confirmed based on the lying down sensing signal for the temperature control mattress for the individual is used as the individual identification information analyzed and confirmed this time.
And step Sa20, inquiring whether the individual sets the use priority of the root cause information or not based on the identity information of the individual. If so, go to step Saa0, otherwise go to step SaA 0.
And step Saa0, confirming the root information used preferentially based on the use priority of the root information set by the individual, wherein the root information comprises the temperature data set before sleeping at different regional positions in different seasons and histories based on the corresponding relation between the season information and the temperature data required to be set before sleeping at different regional positions of the mattress.
And step Sab0, analyzing and confirming temperature data required to be set before sleep in different areas of the mattress based on the root information confirmed to be preferentially used.
And SaA0, predicting and analyzing the root information priority information of the individual tendency according to the analyzed and confirmed individual identity information and the corresponding relation between the preset individual identity information and the temperature difference data of the temperature data required to be set before sleep in different historical subsequent readjusted areas and the temperature difference data confirmed by initial analysis, and confirming the root information used preferentially.
Referring to FIG. 5, the step SaA0 of predicting the analyzed individual predisposition root cause information priority information includes:
and step Saaa, inquiring and acquiring the temperature data required to be set before sleep of the historical subsequent readjustment different area positions of the analyzed and confirmed individual and the temperature difference data of the temperature data confirmed by the initial analysis according to the identity information of the analyzed and confirmed individual and the corresponding relation between the preset individual identity information and the temperature data required to be set before sleep of the historical subsequent readjustment different area positions of the analyzed and confirmed individual.
The preset corresponding relationship between the individual identity information and the temperature difference data of the temperature data required to be set before sleep in different historical subsequent readjusted area positions and the temperature difference data confirmed by the initial analysis can be obtained by inquiring a database in which the corresponding relationship between the individual identity information and the temperature difference data of the temperature data required to be set before sleep in different historical subsequent readjusted area positions and the temperature difference data confirmed by the initial analysis is stored.
And step SaAb, analyzing and calculating the sum of temperature difference data corresponding to different initial analysis confirmed temperature data based on the temperature difference data readjusted every time in the preset time period close to the current time period and the root information of the initial analysis confirmed temperature data, selecting the root information corresponding to the minimum sum of the temperature difference data as the root information preferentially used at this time, and using the other root information as the root information used in secondary selection.
It should be noted that the temperature data corresponding to the present application corresponds to a plurality of, but not limited to three, upper, middle and lower parts of the human body, and therefore the sum of the temperature difference data refers to the sum of the temperature differences of all the parts.
And step SaB0, analyzing and confirming temperature data required to be set before sleep in different areas of the mattress based on the root information confirmed to be preferentially used.
When the stage information of the user using the temperature-controlled mattress obtained in the step S100 is information of using the temperature-controlled mattress, the information of using the temperature-controlled mattress includes a sleep signal set by the individual and/or a sleep induction signal for the individual to fall asleep; the preset temperature data at different areas of the mattress corresponding to the corresponding stage information are the temperature data at different positions of the mattress in different sleep time periods after the mattress falls asleep;
the temperature data of different areas of the mattress set by the individual history in the corresponding stage are the temperature data of different positions of the mattress in different sleep time periods after falling asleep preset by the individual.
The signal for falling asleep set by the individual may be a signal which is sent by the individual through the controller to the temperature control mattress in real time, or may be time planning information which is set by the individual on the controller in advance for falling asleep, and when the corresponding planning time is reached, the controller automatically sends the information for falling asleep to the temperature control mattress.
The sleep induction signal of the individual falling asleep can be detected and acquired by a related detection device preset on the temperature-controlled mattress, for example, the sound detection device can detect the tone of the snoring sound of the individual to indirectly judge the identity information and the sleep induction information of the individual.
Based on the above concept, the following steps can be further provided:
if the acquired signal is an individual falling-asleep sensing signal and the falling-asleep sensing signal is a snore tone judging signal, the individual identity information corresponding to the corresponding snore tone is searched based on the corresponding relation between the snore tone and the individual identity information corresponding to the corresponding snore tone, and if the corresponding individual identity information is different from the individual identity information analyzed before the temperature control mattress is ready to be used, the information and the use information which are predicted and analyzed before the temperature control mattress is ready to be used are deleted and are not used as historical data, and the individual identity information acquired through current analysis is used as correct individual identity information.
The temperature data of different positions of the mattress in different sleep time periods after the fixed sleep is obtained by inquiring from a preset database in which the temperature data of different positions of the mattress in different sleep time periods after the fixed sleep is stored.
For example, the above-mentioned mattress includes, at different positions, an area corresponding to the upper half of the human body including the neck and the shoulder, an area corresponding to the middle of the human body including the waist and the hip, and an area corresponding to the lower half of the human body including the thigh, the calf and the foot.
The temperature data preset by the individual at different positions of the mattress during different sleep time periods after falling asleep can be the temperature data preset by the user before falling asleep at different positions of the mattress during different sleep time periods after falling asleep based on the user's needs.
As for the different sleep time periods after falling asleep mentioned above, the sleep time periods can be divided into three time periods according to the need, and the three time periods are in the order of the front period of sleep, the middle period of sleep and the back period of sleep.
For example, the pre-sleep period may be 150 minutes, the mid-sleep period may be 250 minutes, and the post-sleep period may be 80 minutes, and the set temperature may be referred to by the referential module as follows: the temperature setting range of the three zones in summer is 16-27 ℃. The temperature setting range of the three subareas in winter is 28-36 ℃.
Referring to fig. 6, analyzing and confirming the temperature data required to be set at different positions of the mattress at this time includes:
step Sa00, the use priority of the root information set by the individual is obtained through inquiry based on the identity information of the individual, and the root information comprises the temperature data of the mattress at different positions in different sleep time periods after the individual falls asleep and the temperature data of the mattress at different positions in different sleep time periods after the individual falls asleep, which are preset by the individual.
The root information use priority set by the individual can be inquired and obtained from a preset database which stores the identity information of the individual and the root information use priority set by the corresponding individual identity information.
And step Sb00, analyzing and confirming temperature data required to be set at different region positions of the mattress based on the confirmed root information used preferentially.
Step SA00, if the stage information is information for preparing to stop using the temperature control mattress, sending individual wake-up information for closing the temperature control system of the temperature control mattress to the temperature control mattress.
In step SA00, the information intended for the cessation of use of the temperature controlled mattress includes an immediate shutdown signal for the temperature controlled mattress and/or a delayed shutdown signal after the person leaves the temperature controlled mattress.
The instant closing signal of the temperature control mattress is actively sent by a user through the controller, the delayed closing signal after the user leaves the temperature control mattress is a signal which is preset by the user and is automatically closed after the user leaves the temperature control mattress, the detection of leaving the mattress is various, whether the temperature control mattress still has a person or not can be detected in a weighing detection mode, other detection and judgment means can also be adopted, and in addition, the delayed time length of the delayed closing signal can be freely set by the user.
The specific implementation mode is as follows:
the stage of the individual applying the temperature control mattress is obtained, based on the corresponding stage condition, as long as the individual does not leave or close the temperature control system of the temperature control device, the identity of the individual is effectively analyzed based on the signal information sent by the individual, the temperature required by the individual is determined by combining the individual identity information, and the temperature control mattress is correspondingly regulated, so that the trouble of artificial follow-up regulation is reduced, and the temperature of the mattress required by the individual is timely provided; and if the individual leaves, the temperature control system of the temperature control mattress can be closed in time, so that the waste of the power supply is reduced.
An embodiment of the present invention provides a computer-readable storage medium, which includes a program capable of being loaded and executed by a processor to implement any one of the methods shown in fig. 1-6.
The computer-readable storage medium includes, for example: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Based on the same inventive concept, an embodiment of the invention provides an intelligent control system of a temperature-controlled mattress, which comprises a memory and a processor, wherein the memory stores a program which can run on the processor to realize the method shown in any one of fig. 1 to 6.
The embodiment of the application also discloses a terminal, which comprises a memory, a processor and a program which is stored on the memory and can run on the processor, wherein the program can be loaded and executed by the processor to realize the method shown in any one of the figures 1 to 6.
The embodiments of the present invention are preferred embodiments of the present application, and the scope of protection of the present application is not limited by the embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (7)
1. An intelligent control method of a temperature control mattress is characterized by comprising the following steps:
acquiring stage information of a user using the temperature control mattress; the stage information comprises information before the temperature control mattress is prepared to be used, information when the temperature control mattress is used and information for preparing to stop using the temperature control mattress;
if the stage information is information before the temperature control mattress is prepared to be used or information before the temperature control mattress is used, analyzing and confirming temperature data required to be set at different region positions of the mattress at this time based on preset temperature data required to be set at different region positions of the mattress corresponding to the corresponding stage information and/or temperature data of different region positions of the mattress set at the corresponding stage in individual history;
if the obtained stage information of the user using the temperature-controlled mattress is information before the user prepares to use the temperature-controlled mattress,
the information before the temperature control mattress is prepared to be used comprises a starting signal for an individual to start a temperature control system of the temperature control mattress and/or a lying induction signal for the individual to lie on the temperature control mattress;
the preset temperature data required to be set at different areas of the mattress corresponding to the corresponding stage information is the corresponding relation between the seasonal information and the temperature data required to be set before sleep at different areas of the mattress;
the temperature data of different regional positions of the mattress set by the individual history at corresponding stages are the temperature data set by the individual before sleeping at different regional positions of the individual history in different seasons;
analyzing and confirming temperature data of different region positions of the mattress, which need to be set, comprises the following steps:
acquiring identity information of an individual;
inquiring whether the individual sets the use priority of the root information or not based on the identity information of the individual;
if so, confirming the root information which is used preferentially based on the use priority of the root information which is set by the individual, wherein the root information comprises corresponding relation based on the season information and temperature data which are required to be set before sleeping at different regional positions of the mattress and temperature data which are set before sleeping at different regional positions of the individual in different seasons and histories to which the individual belongs;
analyzing and confirming temperature data required to be set before sleeping in different areas of the mattress based on the confirmed root information used preferentially;
if not, predicting and analyzing the root information priority information of the individual tendency according to the analyzed and confirmed individual identity information and the corresponding relation between the preset individual identity information and the temperature data required to be set before sleep at different historical subsequent readjusted area positions and the temperature difference data of the initially analyzed and confirmed temperature data, and confirming the root information used preferentially;
analyzing and confirming temperature data required to be set before sleeping in different areas of the mattress based on the confirmed root information used preferentially;
the predicting and analyzing the root information priority information of the individual tendency comprises the following steps:
inquiring and acquiring the temperature data required to be set before sleep of the individual at the historical subsequent readjusted different area positions analyzed and confirmed and the temperature difference data of the temperature data initially analyzed and confirmed according to the analyzed and confirmed individual identity information and the corresponding relation between the preset individual identity information and the temperature data required to be set before sleep of the historical subsequent readjusted different area positions and the temperature difference data initially analyzed and confirmed;
analyzing and calculating the sum of temperature difference data corresponding to different pieces of root information initial analysis confirmed temperature data based on the temperature difference data readjusted every time in the preset time period close to the current time and the root information of the initial analysis confirmed temperature data, selecting the root information corresponding to the smallest sum of the temperature difference data as the root information preferentially used at this time, and selecting the other root information as the root information used for secondary selection;
sending the temperature data which is analyzed and confirmed and is used for controlling the positions of different areas of the mattress to be adjusted from the current temperature data to the temperature control mattress;
and if the stage information is information for preparing to stop using the temperature control mattress, sending individual waking-up information for closing the temperature control mattress temperature control system to the temperature control mattress.
2. The intelligent control method for a temperature controlled mattress according to claim 1, wherein obtaining identity information of an individual comprises:
analyzing the acquired signal;
if the acquired signal is only a starting signal for starting the temperature control system of the temperature control mattress by the individual, acquiring probability data of starting the temperature control system of the temperature control mattress by the individual with different identity information at the current time according to the corresponding relation of the individual identity information and probability data of starting the temperature control system of the temperature control mattress at different time periods corresponding to the individual identity information history, and selecting the individual identity information corresponding to the maximum probability data as the individual identity information confirmed by predictive analysis;
if the signal is only the lying induction signal of the individual lying temperature control mattress, analyzing and confirming probability data of the individual lying temperature control mattress with different identity information at the current time period according to the individual identity information, probability information of weight information of the historical lying temperature control mattress corresponding to the individual identity information history and probability information of the mattress on the individual carrying object, and selecting the individual identity information corresponding to the maximum probability data as the individual identity information confirmed by predictive analysis;
if a starting signal for starting the temperature control system of the temperature control mattress by the individual and a lying induction signal of the temperature control mattress by the individual are received at the same time, the individual identity information which is only analyzed and confirmed by the lying induction signal of the temperature control mattress by the individual is taken as the individual identity information which is analyzed and confirmed at this time.
3. The intelligent temperature control mattress adjusting and controlling method according to claim 2, wherein analyzing probability data of individuals with different identity information lying on the temperature control mattress at the current time period comprises:
according to the corresponding relation among the individual identity information, probability information of the mattress on the carrying object corresponding to the corresponding identity information individual, weight pressure distribution information of the corresponding identity information individual and probability information of the mattress on which the corresponding identity information individual lies, probability information of the mattress on the carrying object of different identity information individuals, weight pressure distribution information and probability information of the mattress on which the corresponding identity information individual lies are obtained;
analyzing and acquiring the distribution probability of each individual on different pressure information of the mattress based on the probability information and weight distribution information of the mattress on the article carried by the individual with different identity information, and taking the product of the distribution probability of each individual on different pressure information of the mattress and the probability of the corresponding individual lying on the mattress as the overall distribution probability of the pressure information of each individual lying on the mattress to form an overall distribution probability database of the pressure information of the individual lying on the mattress;
based on the currently acquired pressure information, the overall distribution probability of the pressure information of the individual lying on the mattress corresponding to the current pressure information is found from the overall distribution probability database, and the individual identity information corresponding to the maximum overall distribution probability data is selected as the individual identity information confirmed by predictive analysis.
4. The intelligent control method of the temperature-controlled mattress according to claim 1, characterized in that:
when the information of the stage that the user uses the temperature-controlled mattress is acquired as the information of using the temperature-controlled mattress,
the information of using the temperature control mattress comprises a sleep signal set by the individual and/or a sleep induction signal for the individual to fall asleep;
the preset temperature data at different areas of the mattress corresponding to the corresponding stage information are the temperature data at different positions of the mattress in different sleep time periods after the mattress falls asleep;
the temperature data of different areas of the mattress set by the individual history in the corresponding stage are the temperature data of different positions of the mattress in different sleep time periods after falling asleep preset by the individual.
5. An intelligent control system for a temperature controlled mattress, comprising a memory, a processor and a program stored in the memory and executable on the processor, wherein the program can be loaded and executed by the processor to implement an intelligent control method for a temperature controlled mattress according to any one of claims 1 to 4.
6. A computer storage medium comprising a program which is loadable by a processor and which, when executed, carries out a method of intelligently controlling a temperature controlled mattress as claimed in any one of claims 1 to 4.
7. A terminal, characterized by: comprises a memory, a processor and a program stored on the memory and running on the processor, wherein the program can be loaded and executed by the processor to realize the intelligent control method of the temperature control mattress according to any one of the claims 1 to 4.
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| CN114680511A (en) * | 2022-03-30 | 2022-07-01 | 浙江梦神家居股份有限公司 | Intelligent air bag mattress control method and system, storage medium and intelligent terminal |
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| CN202959631U (en) * | 2012-12-12 | 2013-06-05 | 赵幸子 | Divisional heating and refrigerating ventilating mattress |
| CN112384107A (en) * | 2019-04-25 | 2021-02-19 | 数眠公司 | Bed with features for improving thermoregulation of a sleeper during sleep |
| EP3858933A1 (en) * | 2020-01-29 | 2021-08-04 | Savare' I.c. S.r.l. | Hot-melt adhesives with improved adhesion and cohesion |
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