CN113757968A - Intelligent air conditioning system based on healthy sleep big data - Google Patents
Intelligent air conditioning system based on healthy sleep big data Download PDFInfo
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- CN113757968A CN113757968A CN202111141053.1A CN202111141053A CN113757968A CN 113757968 A CN113757968 A CN 113757968A CN 202111141053 A CN202111141053 A CN 202111141053A CN 113757968 A CN113757968 A CN 113757968A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/65—Electronic processing for selecting an operating mode
- F24F11/66—Sleep mode
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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
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/46—Improving electric energy efficiency or saving
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/10—Occupancy
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Abstract
The invention provides an intelligent air conditioning system based on healthy sleep big data, which comprises: the intelligent air conditioner comprises a plurality of intelligent mattresses, mattress cloud platforms corresponding to the intelligent mattresses, a plurality of intelligent air conditioners and air conditioner cloud platforms corresponding to the intelligent air conditioners; the intelligent mattress is used for acquiring sleep habit data of a corresponding user and sending the sleep habit data to the mattress cloud platform; the mattress cloud platform is used for: determining healthy sleep time and healthy getting-up time suitable for a plurality of users corresponding to a plurality of intelligent mattresses according to the sleep habit data, and sending the healthy sleep time and the healthy getting-up time to an air-conditioning cloud platform; the air conditioner cloud platform is used for: respectively matching corresponding intelligent services for the healthy sleeping time and the healthy getting-up time, generating control instructions corresponding to the intelligent services, and sending the control instructions to each intelligent air conditioner; the intelligent air conditioner is used for providing corresponding intelligent service for the user when receiving the control instruction. The invention can provide more humanized intelligent service.
Description
Technical Field
One or more embodiments of the present description relate to the technical field of air conditioners, and in particular, to an intelligent air conditioning system based on healthy sleep big data.
Background
With the continuous development of society, the social life is more intelligent, and the requirements of people on healthy life are higher and higher. Basic functions of traditional air conditioners such as refrigeration and heating cannot meet the existing requirements of people, and the requirements of people on intelligent air conditioners are higher and higher. With the pace of life increasing, besides the functions of air-conditioning such as cooling and heating, the intelligent air-conditioning is also required to provide more humanized services.
Disclosure of Invention
The embodiment of the invention describes an intelligent air-conditioning system based on healthy sleep big data.
The invention provides an intelligent air conditioning system based on healthy sleep big data, which comprises: the intelligent air conditioner comprises a plurality of intelligent mattresses, mattress cloud platforms corresponding to the intelligent mattresses, a plurality of intelligent air conditioners and air conditioner cloud platforms corresponding to the intelligent air conditioners; wherein:
the intelligent mattress is used for: acquiring sleep habit data of a corresponding user, and sending the sleep habit data to the mattress cloud platform;
the mattress cloud platform is used for: receiving sleep habit data sent by the intelligent mattresses, determining healthy sleep time and healthy getting-up time suitable for a plurality of users corresponding to the intelligent mattresses according to the sleep habit data, and sending the healthy sleep time and the healthy getting-up time to the air-conditioning cloud platform;
the air conditioner cloud platform is used for: respectively matching corresponding intelligent services for the healthy sleep time and the healthy getting-up time, respectively generating control instructions of the corresponding intelligent services at the healthy sleep time and the healthy getting-up time, and sending the control instructions to each intelligent air conditioner;
the intelligent air conditioner is used for: and when the control instruction is received, providing corresponding intelligent service for the user.
According to the intelligent air conditioning system based on the healthy sleep big data, the sleep habit data of a user are obtained through the intelligent mattress, the mattress cloud platform analyzes the sleep habit data to obtain the healthy sleep time and the healthy getting-up time, the air conditioning cloud platform matches the corresponding intelligent service for the healthy sleep time and the healthy getting-up time, and corresponding control instructions are generated when the healthy sleep time and the healthy getting-up time are reached, so that the intelligent air conditioner executes the control instructions to provide the corresponding intelligent service. Therefore, the air conditioning system provided by the invention not only can meet the functions of refrigeration, heating and the like, but also can provide more humanized intelligent service, and greatly improves the experience of users.
Drawings
In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present specification, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic diagram of an embodiment of the present disclosure, illustrating an intelligent air conditioning system based on big data of healthy sleep;
FIG. 2 is a schematic diagram of the interaction between a smart mattress and a mattress cloud platform in one embodiment of the present description;
fig. 3 is a schematic diagram of interaction between an air conditioner cloud platform and a smart air conditioner in one embodiment of the present disclosure.
Detailed Description
The scheme provided by the specification is described below with reference to the accompanying drawings.
In a first aspect, the present invention provides an intelligent air conditioning system based on big data of healthy sleep, as shown in fig. 1, including: the intelligent air conditioner comprises a plurality of intelligent mattresses, mattress cloud platforms corresponding to the intelligent mattresses, a plurality of intelligent air conditioners and air conditioner cloud platforms corresponding to the intelligent air conditioners; wherein:
the intelligent mattress is used for: acquiring sleep habit data of a corresponding user, and sending the sleep habit data to the mattress cloud platform;
the mattress cloud platform is used for: receiving sleep habit data sent by the intelligent mattresses, determining healthy sleep time and healthy getting-up time suitable for a plurality of users corresponding to the intelligent mattresses according to the sleep habit data, and sending the healthy sleep time and the healthy getting-up time to the air-conditioning cloud platform;
the air conditioner cloud platform is used for: respectively matching corresponding intelligent services for the healthy sleep time and the healthy getting-up time, respectively generating control instructions of the corresponding intelligent services at the healthy sleep time and the healthy getting-up time, and sending the control instructions to each intelligent air conditioner;
the intelligent air conditioner is used for: and when the control instruction is received, providing corresponding intelligent service for the user.
It can be understood that the sleeping habit data is data used by the user to sleep at some point, get up at some point, and the like. Each intelligent mattress can acquire sleep habit data of corresponding users, then the sleep habit data are sent to the mattress cloud platform, then the mattress cloud platform summarizes relatively healthy sleep time (namely, a few-point sleep) and getting-up time (namely, a few-point getting-up time) according to the sleep habit data of the users, namely, the healthy sleep time and the healthy getting-up time, and then the healthy sleep time and the healthy getting-up time are sent to the air-conditioning cloud platform. And respectively configuring corresponding intelligent services for the healthy sleep time and the healthy getting-up time on the air conditioner cloud platform, and issuing control instructions corresponding to the intelligent services when the healthy sleep time and the healthy getting-up time are reached. And when the intelligent air conditioner receives the control instruction, providing corresponding intelligent service.
In specific implementation, the intelligent service corresponding to the healthy sleep time may include an early sleep reminding service; the air conditioner cloud platform can be used for generating a first control instruction corresponding to the early sleep reminding service in the healthy sleep time and sending the first control instruction to each intelligent air conditioner; the intelligent air conditioner is used for carrying out early sleep reminding service in a voice broadcasting mode when receiving the first control instruction.
For example, healthy sleep time is 10 o ' clock evening, and when ten o ' clock evening or nine o ' clock fifty minutes night, air conditioner cloud platform can generate first control instruction to send first control instruction to intelligent air conditioner, intelligent air conditioner will carry out voice broadcast like this, reminds the user to sleep early.
In specific implementation, the intelligent service corresponding to the healthy sleep time may include a sleep-aid music service; the air conditioner cloud platform is used for generating a second control instruction corresponding to the sleep-assisting music service in the healthy sleep time and sending the second control instruction to each intelligent air conditioner; and the intelligent air conditioner is used for performing sleep-assisting music service when receiving the second control instruction.
For example, the healthy sleeping time is 10 pm, when ten pm or nine pm and fifty-fifth pm, the air conditioner cloud platform generates a second control instruction, and sends the second control instruction to the intelligent air conditioner, so that the intelligent air conditioner plays the sleep-aid music to help the user to sleep.
In specific implementation, the intelligent service corresponding to the health getting-up time may include a soft clock reminding service; the air conditioner cloud platform is used for generating a third control instruction corresponding to the soft clock reminding service at the healthy getting-up time and sending the third control instruction to each intelligent air conditioner; and the intelligent air conditioner is used for carrying out soft clock reminding service when receiving the third control instruction.
For example, the healthy getting-up time is 7 am, when the healthy getting-up time is 7 am, the air conditioner cloud platform generates a third control instruction, then sends the third control instruction to the intelligent air conditioner, and when the intelligent air conditioner receives the third control instruction, the user can be awakened by voice.
In specific implementation, the intelligent service corresponding to the healthy getting-up time may include an energy saving service, and the air conditioner cloud platform is configured to generate a fourth control instruction corresponding to the energy saving service at the healthy getting-up time, and issue the fourth control instruction to each intelligent air conditioner; the intelligent air conditioner is used for performing energy-saving service when receiving the fourth control instruction, and the energy-saving service is to turn off the air conditioner at a preset time point after the healthy getting-up time.
For example, the healthy getting-up time is 7 am, when the healthy getting-up time is 7 am, the air conditioner cloud platform generates a fourth control instruction and sends the fourth control instruction to the intelligent air conditioner, and the intelligent air conditioner turns off the heating mode or the cooling mode of the air conditioner at 7 am 10 minutes when receiving the fourth control instruction.
In specific implementation, in order to realize data communication, the intelligent air conditioner may include a first electronic control module and a first WIFI module; the first WIFI module is used for receiving the control instruction and sending the control instruction to the first electronic control module; the first electronic control module is used for executing the control instruction.
The first electric control module is a control module of the intelligent air conditioner, and the first WIFI module transmits data for the intelligent air conditioner and an air conditioner cloud platform.
In specific implementation, the intelligent mattress can comprise a second electric control module, a second WIFI module and a non-contact heart rate acquisition module; the non-contact heart rate acquisition module is used for acquiring the heart rate of a user on the intelligent mattress in real time and sending the heart rate to the second electronic control module; the second electronic control module is used for determining a corresponding sleep cycle in one day according to the change of the heart rate and determining sleep habit data of the user according to a plurality of sleep cycles; the second WIFI module is used for sending the sleep habit data to the mattress cloud platform.
Wherein, second electrical control module is the control module of intelligence mattress, and second WIFI module carries out data transmission's module for intelligent mattress and mattress cloud platform, and the module user is acquireed to the non-contact rhythm of the heart, and then makes second electrical control module analysis user's sleep habit. The non-contact heart rate acquisition module sends microwave signals every preset time, and the heart rate of the user is obtained according to the echo signals of the body. Certainly, in order to facilitate the non-contact heart rate obtaining module to more accurately obtain the heart rate, a pressure sensor can be further arranged in the intelligent mattress to detect pressure parameters, and the second electronic control module can determine the position, the turnover frequency and other information of the user on the mattress according to the detected pressure parameters. The second electric control module controls the non-contact heart rate acquisition module to send microwave signals to the human body according to the position of the user on the mattress.
The microwave detection technology is radar type vital sign detection technology, electromagnetic waves are used as media, and radar is adopted to detect body vibration caused by human physiological activities. When electromagnetic waves irradiate a human body, information containing human body physiological characteristics is reflected, so that important human body life parameters can be extracted from echo signal changes caused by human body surface micro-motion by utilizing the relationship between the human body micro-motion and the amplitude and phase of echoes. The non-contact heart rate acquisition module in the invention detects the heart rate parameters in the radar echo signals by taking microwaves as detection media and heart rates as research signals.
It can be understood that the non-contact heart rate acquisition module in the intelligent mattress can acquire the desired data without contacting with the human body, and is a very ideal heart rate detection module.
After the person goes to sleep, the heart rate of the person gradually decreases, and when the person quickly wakes up, the heart rate of the person gradually increases, so that the sleep cycle of the user can be determined according to the change of the heart rate, namely, the point goes to sleep and the point wakes up. For example, the sleep habit data of the user can be obtained according to the sleep cycle of the user in one month, and then the sleep habit data is sent to the mattress cloud platform.
It will be appreciated that a sleep period of a day is a period during which the heart rate of the user falls from a first heart rate value to a lowest heart rate value and rises from said lowest heart rate value to a second heart rate value.
In particular implementation, the second electronic control module may calculate the first heart rate value using a first formula, where the first formula includes:
P1＝Pmin+r1*(P0-Pmin)
in the formula, P1A first heart rate value for the user; p0Average heart rate detected by the non-contact heart rate acquisition module in a non-sleep period in a first historical time period; pminIs the lowest heart rate value, r1The ratio of the sleep reference heart rate average value of the user in a first historical time period to the sleep reference heart rate average value in a second historical time period is obtained, and the first historical time period is later than the second historical time period.
Wherein, P0The average heart rate of the user in the non-sleep period (for example, seven and a half in the morning to ten and a half in the evening) is not calculated through the intelligent mattress, and the value can be input by the user on the app of the mobile terminal, or can be estimated by the air-conditioning cloud platform according to the information of the user, such as the age, the height and the weight.
As can be seen from the first formula above, the first formula increases r by the lowest heart rate value1*(P0-Pmin)，r1The ratio of the average value of the sleep reference heart rate in a first historical time period (for example, in one month separated from the current day by one week) to the average value of the sleep reference heart rate in a second historical time period (for example, in one month before and adjacent to the current day), wherein the sleep reference heart rate is in a relatively continuous time zone, the most heart rate values appear during sleep, and the sleep condition, the cardiovascular and cerebrovascular disease risk and the like of the user can be reflected. The above ratio r1The ratio of the heart rate value that occurs the most during the first historical period of time to the heart rate value that occurs the most during the second historical period of time for the user. Thus the ratio r1The recent sleep state of the user can be reflected, and the first formula considers the physical condition of the user and can obtain a first heart rate value suitable for the user.
Through a large number of experiments, r can be obtained1Is a value around 1, most of r1Falls in [0.7, 1.2 ]]The first heart rate value thus calculated is at P0Near without deviating from P0Too far away, this also corresponds to the situation of the actual scene, whileAlso taking the physical state of the user into consideration, a first heart rate value suitable for the user is obtained. Different users can obtain different heart rate values, and the method is very personalized and targeted.
In particular implementation, the second electronic control module may calculate the second heart rate value using a second formula, where the second formula includes:
P2＝P1-a*r1*(P’0-Pmin)
in the formula, P2A second heart rate value for the user; p1A first heart rate value for the user; a is constant and is in the value range of (0.5, 0.7) P'0Average heart rate, P, detected by the non-contact heart rate acquisition module during a sleep period within a first historical time periodminIs the lowest heart rate value, r1The ratio of the sleep reference heart rate average value of the user in a first historical time period to the sleep reference heart rate average value in a second historical time period is obtained, and the first historical time period is later than the second historical time period.
Wherein, P'0P 'for average heart rate detected for sleep periods within a first historical period of time'0And PminMaking a difference, which can be embodied as the difference value between the lowest heart rate and the average heart rate in the sleep period, and calculating r1A, and the difference may be multiplied to obtain an adjustment value, which is then reduced based on the first heart rate value to obtain a second heart rate value. The value of a is (0.5, 0.7), which can ensure P2And P1The difference is not too great because the ambient temperature at wake-up is lower, the body temperature is lower, and lower than the body temperature before sleep, so the wake-up heart rate is lower than the sleep heart rate, so P2Ratio P1Smaller, but not much smaller. In particular by a r1*(P’0-Pmin) And (6) carrying out adjustment. During the adjustment, the whole heart rate level and the lowest heart rate level in the sleep period are considered, and r is added1The embodiment reflects the recent sleep state of the user, and a very suitable application can be obtained through the second formulaThe second heart rate value of the user, personalized and targeted.
In specific implementation, the air conditioner cloud platform may be further configured to: sending service information corresponding to intelligent services corresponding to the healthy sleeping time and the healthy getting-up time to each mobile terminal bound with each intelligent air conditioner;
correspondingly, the mobile terminal is used for: and when the service information is received, displaying the service information on a display interface, responding to the adjustment operation of a user on the service information, sending the adjusted service information to the air-conditioning cloud platform as the personalized service information of the user, so that the air-conditioning cloud platform generates corresponding control instructions according to the personalized service information at the healthy sleeping time and the healthy getting-up time, and sends the control instructions to each intelligent air conditioner.
That is to say, the air conditioner cloud platform can also send relevant information of the intelligent service corresponding to the healthy sleep time and the healthy waking time to the corresponding mobile terminal, then the user can modify the information on the mobile terminal, after the modification is submitted, the mobile terminal can send the adjusted intelligent service to the air conditioner cloud platform, and the air conditioner cloud platform stores the information corresponding to the modified intelligent service, so that the air conditioner cloud platform can generate a control instruction according to the modified information.
For example, the user replaces music of the sleep-aid music service, adjusts the healthy sleep time and the healthy getting-up time, and modifies the time for turning off the air conditioner to be 20 minutes after the healthy getting-up time, thereby realizing personalized service.
Therefore, the intelligent mattress and the intelligent air conditioner are perfectly combined, and the sleep habit of the human body is subjected to big data analysis, so that a good foundation can be better laid for pushing the health message service. Through the long-term sleep analysis of the user, the intelligent air conditioner can be used for pushing the adaptive healthy sleep reminding service for the user, for example, early sleep reminding, healthy reminding, soft clock awakening and sleep-aid music service are used for providing sleep-aid service for the user, and the intelligent air conditioner can also be combined with a time strategy to push the automatic turn-off air conditioner service, so that the power saving of the user is improved. The intelligent air conditioning system provides self-adaptive message pushing service based on the healthy sleep big data, and introduces the big data according to the sleep habit of the user to analyze in the prior intelligent air conditioning technology, and self-adaptively pushes message services such as sleep reminding, sleep aiding and energy saving by combining the actual sleep condition. The invention can greatly improve the user experience and has good application prospect in the future.
Fig. 2 depicts a sleep big data analysis process. The sleep big data analysis mainly refers to data such as sleep habits of obtaining the user through the intelligent mattress, and the mattress cloud platform combines the analysis to the long-term sleep of user and health to the sleep time, the time of getting up that are favorable to the user health are gone out in the analysis, can also confirm certainly to be favorable to the user to fall asleep help the music, thereby promote, help the sleep service through the relevant health of intelligence air conditioner propelling movement.
In the sleep big data analysis process, the acquired sleep habit data of the user are generally transmitted to the second WIFI module in real time through the electric control end of the intelligent mattress, and the second WIFI module of the intelligent mattress transmits the sleep habit data to the mattress cloud platform through an MQTT protocol. The mattress cloud end platform analyzes and stores the sleep habit data, and after long-term data analysis, sleep time and getting-up time which are beneficial to the health of a user and sleep-aid music which is beneficial to the sleep of the user are obtained.
Fig. 3 illustrates a service message pushing process, in which the healthy sleep time and the waking time from the mattress cloud platform are saved in the air-conditioning cloud platform and matched with each other in an execution scenario (for example, in a scenario i, when the time is 10 pm, an early sleep reminding service is executed, and in a scenario ii, when the time is 7 am, a soft clock wake-up service is executed). After the air conditioner cloud platform matches the execution scenes, the air conditioner cloud platform generates corresponding control instructions after corresponding time is reached, the control instructions are sent to a first WiFi module of the intelligent air conditioner through an MQTT protocol, the first WiFi module analyzes the control instructions and then controls corresponding modules to execute the control instructions, and therefore early sleep reminding, soft clock awakening service and the like through the air conditioner are achieved.
Referring to fig. 1, fig. 1 depicts the overall process:
1. the second electric control end of the intelligent mattress transmits the acquired sleep habit data of the user to the first WIFI module in real time, and the first WIFI module of the intelligent mattress transmits the sleep habit data to the mattress cloud platform through an MQTT protocol;
2. the mattress cloud end platform analyzes the sleep habit data, and analyzes the sleep habit data by combining with the big data of long-term sleep and health, so that the healthy sleep time and the healthy getting-up time of the user are obtained, and a basis is provided for health reminding, energy-saving service pushing and the like of a subsequent intelligent air conditioner;
3. the mattress cloud platform pushes the healthy sleep time and the healthy getting-up time to the air conditioner cloud platform in real time through the message channel, the air conditioner cloud platform stores and analyzes data, the healthy sleep time and the healthy getting-up time are analyzed, then scene matching is carried out, namely corresponding intelligent services are matched, when the healthy sleep time or the healthy getting-up time is reached, a control command is generated, and the air conditioner cloud platform sends the control command to a first WiFi module of the intelligent air conditioner through an MQTT protocol;
4. and the first WiFi module sends the control command to the first electric control module, and the first electric control module analyzes the control command and executes the control command through the corresponding module.
According to the intelligent air conditioning system based on the healthy sleep big data, the sleep habit data of a user are obtained through the intelligent mattress, the mattress cloud platform analyzes the sleep habit data to obtain the healthy sleep time and the healthy getting-up time, the air conditioning cloud platform matches the corresponding intelligent service for the healthy sleep time and the healthy getting-up time, and corresponding control instructions are generated when the healthy sleep time and the healthy getting-up time are reached, so that the intelligent air conditioner executes the control instructions to provide the corresponding intelligent service. Therefore, the air conditioning system provided by the invention not only can meet the functions of refrigeration, heating and the like, but also can provide more humanized intelligent service, and greatly improves the experience of users.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
Those skilled in the art will recognize that, in one or more of the examples described above, the functions described in this disclosure may be implemented in hardware, software, hardware, or any combination thereof. When implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium.
The above-mentioned embodiments, objects, technical solutions and advantages of the present invention are further described in detail, it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made on the basis of the technical solutions of the present invention should be included in the scope of the present invention.
Claims (10)
1. The utility model provides an intelligence air conditioning system based on healthy sleep big data which characterized in that includes: the intelligent air conditioner comprises a plurality of intelligent mattresses, mattress cloud platforms corresponding to the intelligent mattresses, a plurality of intelligent air conditioners and air conditioner cloud platforms corresponding to the intelligent air conditioners; wherein:
the intelligent mattress is used for: acquiring sleep habit data of a corresponding user, and sending the sleep habit data to the mattress cloud platform;
the mattress cloud platform is used for: receiving sleep habit data sent by the intelligent mattresses, determining healthy sleep time and healthy getting-up time suitable for a plurality of users corresponding to the intelligent mattresses according to the sleep habit data, and sending the healthy sleep time and the healthy getting-up time to the air-conditioning cloud platform;
the air conditioner cloud platform is used for: respectively matching corresponding intelligent services for the healthy sleep time and the healthy getting-up time, respectively generating control instructions of the corresponding intelligent services at the healthy sleep time and the healthy getting-up time, and sending the control instructions to each intelligent air conditioner;
the intelligent air conditioner is used for: and when the control instruction is received, providing corresponding intelligent service for the user.
2. The system according to claim 1, wherein the intelligent service corresponding to the healthy sleep time comprises an early sleep reminding service; the air conditioner cloud platform is used for generating a first control instruction corresponding to the early sleep reminding service in the healthy sleep time and sending the first control instruction to each intelligent air conditioner; the intelligent air conditioner is used for carrying out early sleep reminding service in a voice broadcasting mode when receiving the first control instruction.
3. The system of claim 1, wherein the intelligent service corresponding to the healthy sleep time comprises a sleep-aid music service; the air conditioner cloud platform is used for generating a second control instruction corresponding to the sleep-assisting music service in the healthy sleep time and sending the second control instruction to each intelligent air conditioner; and the intelligent air conditioner is used for performing sleep-assisting music service when receiving the second control instruction.
4. The system of claim 1, wherein the smart service corresponding to the healthy wake up time comprises a soft clock alert service; the air conditioner cloud platform is used for generating a third control instruction corresponding to the soft clock reminding service at the healthy getting-up time and sending the third control instruction to each intelligent air conditioner; and the intelligent air conditioner is used for carrying out soft clock reminding service when receiving the third control instruction.
5. The system according to claim 1, wherein the intelligent service corresponding to the healthy getting-up time comprises an energy-saving service, and the air conditioner cloud platform is configured to generate a fourth control instruction corresponding to the energy-saving service at the healthy getting-up time and issue the fourth control instruction to each intelligent air conditioner; the intelligent air conditioner is used for performing energy-saving service when receiving the fourth control instruction, and the energy-saving service is to turn off the air conditioner at a preset time point after the healthy getting-up time.
6. The system of claim 1, wherein the smart air conditioner comprises a first electronic control module and a first WIFI module; the first WIFI module is used for receiving the control instruction and sending the control instruction to the first electronic control module; the first electronic control module is used for executing the control instruction.
7. The system of claim 1, wherein a second electronic control module, a second WIFI module and a non-contact heart rate acquisition module are included in the smart mattress; the non-contact heart rate acquisition module is used for acquiring the heart rate of a user on the intelligent mattress in real time and sending the heart rate to the second electronic control module; the second electronic control module is used for determining a corresponding sleep cycle in one day according to the change of the heart rate and determining sleep habit data of the user according to a plurality of sleep cycles; the second WIFI module is used for sending the sleep habit data to the mattress cloud platform.
8. The system of claim 7, wherein the sleep period of a day is a period during which the user's heart rate falls from a first heart rate value to a lowest heart rate value and rises from the lowest heart rate value to a second heart rate value during a day, the second electronic control module calculating the first heart rate value using a first formula, the first formula comprising:
P1＝Pmin+r1*(P0-Pmin)
in the formula, P1A first heart rate value for the user; p0Average heart rate detected by the non-contact heart rate acquisition module in a non-sleep period in a first historical time period;Pminis the lowest heart rate value, r1The ratio of the sleep reference heart rate average value of the user in a first historical time period to the sleep reference heart rate average value in a second historical time period is obtained, and the first historical time period is later than the second historical time period.
9. The system of claim 8, wherein said second electronic control module calculates said second heart rate value using a second formula, said second formula comprising:
P2＝P1-a*r1*(P’0-Pmin)
in the formula, P2A second heart rate value for the user; p1A first heart rate value for the user; a is constant and is in the value range of (0.5, 0.7) P'0Average heart rate, P, detected by the non-contact heart rate acquisition module during a sleep period within a first historical time periodminIs the lowest heart rate value, r1The ratio of the sleep reference heart rate average value of the user in a first historical time period to the sleep reference heart rate average value in a second historical time period is obtained, and the first historical time period is later than the second historical time period.
10. The system of claim 1, wherein the air conditioning cloud platform is further configured to: sending service information corresponding to intelligent services corresponding to the healthy sleeping time and the healthy getting-up time to each mobile terminal bound with each intelligent air conditioner;
correspondingly, the mobile terminal is used for: and when the service information is received, displaying the service information on a display interface, responding to the adjustment operation of a user on the service information, sending the adjusted service information to the air-conditioning cloud platform as the personalized service information of the user, so that the air-conditioning cloud platform generates corresponding control instructions according to the personalized service information at the healthy sleeping time and the healthy getting-up time, and sends the control instructions to each intelligent air conditioner.
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