CN113741208A - Full-automatic intelligent home management system - Google Patents
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention discloses a full-automatic intelligent home management system, which comprises an environment management unit and an analysis customization unit, wherein the environment management unit is used for preparing and adjusting the environment in a bedroom before a user enters the bedroom, and simultaneously, after the analysis customization unit monitors and analyzes the sleeping state of the user, the environment management unit adjusts the environment according to an analysis result, so that the environment in the bedroom is adjusted to a state suitable for sleeping in advance, the experience degree and the somatosensory comfort degree of the user before falling asleep are improved, the user can be prompted to rapidly enter the sleeping state, the sleeping quality is improved, and meanwhile, different temperature adjustment modes are adopted according to different temperature conditions, so that the energy consumption is reduced; the somatosensory state of the user in the sleeping state is analyzed and the environment is regulated, the environment in the bedroom is guaranteed to be always in the state suitable for the user to sleep, the sleeping quality is guaranteed, the electronic sensing equipment does not need to be worn next to the skin, and the sleeping comfort level of the user is improved.
Description
Technical Field
The invention relates to the field of intelligent home furnishing, in particular to a full-automatic intelligent home furnishing management system.
Background
Along with the development and popularization of the internet of things technology, smart homes are more and more concerned and loved by young people, and the smart homes integrate building electrical, automatic control technology, network communication technology and the like into buildings, so that faster, efficient and safe home experience is provided for users. The intelligent home system uses a network communication technology to combine various home devices into a unified and coordinated integrated system which can be communicated with each other, has a certain degree of intelligence, can interact with users, simultaneously carries out unified supervision on various aspects in a home environment, and provides high-quality service for the users.
The working pressure of office workers is high, the office workers often cannot well enter a sleep state, and generally, the office workers and the office workers are in different living states in the middle of the week and on the weekends, so that sleep habits are different, a good sleep environment is guaranteed for people, and a good sleep habit is developed. Therefore, a full-automatic intelligent home management system is provided.
Disclosure of Invention
The invention aims to provide a full-automatic intelligent home management system.
The technical problem solved by the invention is as follows:
(1) the environment monitoring unit and the environment management unit are arranged to monitor and pre-adjust the temperature, the humidity and the air environment in the bedroom, so that the environment in the bedroom is automatically adjusted to a user demand state or a sleep suitable state, and the problem that the user needs to automatically adjust the bedroom environment before sleeping in the prior art is solved;
(2) by arranging the analysis customizing unit and the environment management unit, the somatosensory state of the user in the sleeping state is analyzed and the environment is regulated, the environment in the bedroom is ensured to be always in a state suitable for the user to sleep, and the problems that the sleeping state of the user cannot be monitored and the environment condition cannot be regulated automatically under the condition that the user carries a corresponding sensor device in the prior art are solved;
(3) through the analysis customization unit, the sleeping state habits and the suitable environment of the user are recorded, the strategy is formulated and updated, the corresponding strategy is preferentially adopted in the subsequent sleeping environment preparation and adjustment, and the problem that the intelligent home system in the prior art cannot autonomously realize the customized service is solved.
The invention can be realized by the following technical scheme: a full-automatic intelligent home management system comprises: the environment monitoring unit is used for acquiring data of indoor and outdoor temperature, indoor humidity and air quality conditions through a temperature sensor, a humidity sensor and an air quality detector, and automatically updating and transmitting the data to the data storage unit at regular time;
the authorization setting unit provides an authorization interface for a user, the user controls the autonomous regulation authority of the intelligent household articles through the authorization setting unit, and the authorization setting unit is in communication connection with the environment management unit through an intelligent gateway controller;
the environment management unit is used for preparing and adjusting the environment in the bedroom before the user enters the bedroom, and meanwhile, after the analysis customizing unit monitors and analyzes the sleeping state of the user, the environment management unit adjusts the environment according to the analysis result.
The invention has further technical improvements that: the environment management unit is divided into three management modules, namely a temperature and humidity management module, a light and sound management module and a ventilation management module, the temperature and humidity conditions in the bedroom are adjusted through the temperature and humidity management module, the light and sound management module controls bedside lamps and music playing equipment, and the ventilation management module controls doors, windows and curtains to be in an open-close state.
The invention has further technical improvements that: the environment management unit enters a working state for ten minutes before the sleep time is needed, judges whether the indoor air quality reaches the standard or not, and adopts different temperature adjusting and ventilating strategies according to the indoor and outdoor temperature and the needed sleep temperature.
The invention has further technical improvements that: the high-definition camera compares the acquired user sleeping posture image with a preset sleeping posture image in the data storage unit, judges whether the user enters a sleeping state, adjusts the brightness of lamplight and the volume of music through the illumination and sound management module, and completely closes the device within a set time.
The invention has further technical improvements that: when the user is in a sleeping state, the analysis customization unit judges that the somatosensory state of the user is cold or hot according to the sleeping posture image data and the breathing state data of the user.
The invention has further technical improvements that: the analysis customizing unit measures the distance between the head and the foot of the user in the sleeping posture image data on the graph, calculates to obtain an extension coefficient, compares the extension coefficient with a preset coefficient value, and judges that the current somatosensory state of the user is cold when the extension coefficient is less than or equal to the preset coefficient value.
The invention has further technical improvements that: the method comprises the steps of obtaining breathing state data in a time interval after a user enters a sleeping state and indoor temperature data in a corresponding time period, establishing a relation curve between the indoor temperature and the breathing state, matching different optimal sleeping breathing frequency ranges according to different user age groups, determining the optimal matching temperature, and judging that the current somatosensory state of the user is 'hot' when an extension coefficient is larger than a preset coefficient and the breathing state data exceeds the optimal sleeping breathing frequency range.
The invention has further technical improvements that: when the user who gets into the bedroom exceeds one person, the bedside lamp carries out zone control, the volume closing time of the music is based on the time of falling asleep of the first user, the indoor temperature is adjusted to the average value of the optimal matching temperatures, the wind direction is automatically adjusted, and the wind direction is adjusted to the user whose somatosensory state is cold or whose somatosensory state is hot.
The invention has further technical improvements that: the analysis customizing unit matches the optimal indoor temperature, humidity, light intensity and music volume suitable for the user in different sleeping time periods through the temperature and humidity of the user in the sleeping process, the sleeping time, the sleeping duration and the turning-over times, and preferentially adopts a corresponding intelligent management strategy in subsequent management control.
Compared with the prior art, the invention has the following beneficial effects:
1. the environment monitoring unit and the environment management unit are arranged to monitor and pre-adjust the temperature, the humidity and the air environment in the bedroom, and automatically adjust the environment in the bedroom to a user demand state or a sleep suitable state, so that the user can adjust the environment in the bedroom to a sleep suitable state in advance before entering the bedroom for sleeping, the experience and the somatosensory comfort level of the user before falling asleep are improved, the user can be enabled to enter the sleep state quickly, the sleep quality is improved, and meanwhile, the energy consumption is reduced by adopting different temperature adjusting modes according to different temperature conditions;
2. by arranging the analysis customizing unit and the environment management unit, the somatosensory state of the user in the sleeping state is analyzed and environment is regulated, the environment in the bedroom is ensured to be always in a state suitable for the user to sleep, the sleeping quality is ensured, the electronic sensing equipment does not need to be worn next to the skin, and the sleeping comfort level of the user is improved;
3. through the analysis customization unit, the sleeping state habits and the suitable environment of the users are recorded and the strategies are formulated and updated, the corresponding strategies are preferentially adopted in the subsequent sleeping environment preparation and adjustment, the customization service is realized, meanwhile, the wind direction adjustment and the temperature adaptability adjustment are automatically carried out according to the analysis result aiming at the bedroom where a plurality of people live, and the sleeping quality of all the users is ensured as much as possible.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention;
FIG. 2 is a flow chart of the system operation of the present invention.
Detailed Description
To further illustrate the technical means and effects of the present invention adopted to achieve the predetermined objects, the following detailed description of the embodiments, structures, features and effects according to the present invention will be given with reference to the accompanying drawings and preferred embodiments.
Referring to fig. 1-2, a full-automatic smart home management system includes an environment monitoring unit, an environment management unit, an authorization setting unit, a data storage unit, and an analysis customizing unit;
the environment monitoring unit comprises a temperature sensor for collecting the temperature inside and outside a bedroom, a humidity sensor for collecting the indoor humidity and an air quality detector for measuring the quality of the air in the bedroom, the air quality detector is mainly used for detecting the content of formaldehyde, PM2.5, carbon dioxide and combustible gas such as carbon monoxide and alkane gas in the air and uploading the collected data to the data storage unit, the air quality detector is set to automatically collect the data at a certain interval, and the time interval of collecting the data twice can be set in advance;
the intelligent household articles in the whole bedroom comprise doors, windows and curtains which can be automatically opened and closed, lighting lamps which can adjust brightness, music playing equipment which can be intelligently controlled and temperature and humidity adjusting equipment which can be intelligently controlled, wherein the temperature and humidity adjusting equipment is specifically an intelligent air conditioner, the intelligent household articles are in communication connection through a wireless local area network and are controlled to operate through an intelligent gateway controller;
the intelligent gateway controller is in communication connection with the authorization setting unit and the environment management unit, the authorization setting unit provides an authorization interface for a user, the user sets the authority of the door and window, the curtain, the lighting lamp, the music playing device and the temperature and humidity adjusting device in the authorization setting unit according to the requirement of the user, the user can select to open and close the self-regulation authority of the structure or the device, the self-regulation authority refers to that the device is allowed to respond and execute actions independently after receiving a corresponding control signal, and the self-regulation authority is in an open state under the default condition;
the environment management unit divide into three big management module, be temperature humidity management module respectively, illumination and sound management module and ventilation management module, set up high definition digtal camera in the environment management unit and acquire user's the appearance of sleeping and respiratory state, and obtain user's sleep experience state through the appearance of sleeping image data that acquire and respiratory state data analysis, and carry out the sleep environment management and control that corresponds according to the sleep experience state, at first before the user gets into the bedroom, need adjust the environment in the bedroom, its concrete step is:
step S1: a user sets required sleep time and required sleep temperature through an authorization setting unit in advance, and an environment management unit enters a working state for ten minutes in advance on the basis of the required sleep time;
step S2: extracting indoor and outdoor temperature data of a bedroom and content data of formaldehyde, PM2.5 and carbon dioxide in indoor air from a data storage unit, comparing the content data of the above components in the air with corresponding standard thresholds preset in an environment management unit, generating an air quality standard-reaching signal when the content data of all the components are within the corresponding standard thresholds, and calculating corresponding content difference values when the content data of a certain component exceeds the corresponding standard thresholds;
step S3: comparing the indoor and outdoor temperature data with the required sleep temperature respectively:
when the required sleep temperature is less than the indoor temperature data and less than the outdoor temperature data, judging that window closing cooling processing is needed, and generating a window closing cooling signal;
when the required sleep temperature is less than the outdoor temperature data and less than the indoor temperature data, determining that windowing and cooling processing is required, and generating a windowing and cooling signal;
when the indoor temperature data is less than the outdoor temperature data and less than the required sleep temperature, judging that windowing temperature rise processing is needed, and generating a windowing temperature rise signal;
when the outdoor temperature data is less than the indoor temperature data and less than the required sleep temperature, judging that window closing temperature rise processing is needed, and generating a window closing temperature rise signal;
in a natural state, the deviation value of the indoor temperature data and the outdoor temperature data is within a certain range, generally speaking, the deviation value of the indoor temperature and the outdoor temperature in winter and summer is between three and five degrees centigrade, and the temperature deviation in spring and autumn is smaller, so that when the required sleep temperature is between the outdoor temperature data and the indoor temperature data, the temperature regulation is not needed;
step S4: when the environmental management unit discerned air quality signal of reaching standard, directly carry out different regulations, for example to door and window and intelligent air conditioner according to the temperature regulation mode of difference: when a window opening and cooling signal is identified, the ventilation management module opens a window by one fourth of the total area of the window, the intelligent air conditioner is enabled to refrigerate, the space size of a bedroom is recorded in the environment management unit, the temperature difference value between indoor temperature data and required sleep temperature is calculated, matched air supply gears are determined according to the air supply quantity of each air supply gear and the heat exchange efficiency of the intelligent air conditioner, the temperature in the bedroom is adjusted to the required sleep temperature within ten minutes, when the window closing and cooling signal is identified, the ventilation management module closes the window, the intelligent air conditioner determines that the air supply gears adjust the temperature in the bedroom to the required sleep temperature within ten minutes, and when the temperature needs to be raised, the operation mode is the same as that during cooling;
step S5: when the air quality standard-reaching signal is not identified, the content data of formaldehyde, PM2.5 or carbon dioxide in the indoor air exceeds the standard at the moment, the windowing ventilation state needs to be kept, the ventilation management unit sets the window to be in an open and locked state at the moment, and the intelligent air conditioner synchronously adjusts the temperature;
step S6: when the required sleep time is reached, the music playing device randomly plays the light music, the light music is acquired from the network through the server, the ventilation management module closes the window and the curtain, and when the high-definition camera detects that the user enters the bedroom, the bedside lamp is lightened, and the environment adjusting work before sleeping is completed.
After the user gets into the bedroom, high definition digtal camera carries out the user posture image collection of falling asleep, prestore in the data storage unit predetermines the posture image of falling asleep, including lying, the posture of falling asleep such as side and lying, the posture image of falling asleep is compared with predetermine the posture image of falling asleep, when contrast failure or user are using electronic equipment, during books, judge that the user does not get into the sleep state, do not carry out any processing, when contrast success and user do not use electronic equipment, during books, judge that the user enters into the sleep state, analysis customization unit monitors the sleep state of user and analyzes and carry out the environmental conditioning through the environmental management unit, its concrete step is as follows:
step SS 1: after a user enters a sleep state, the illumination and sound management module gradually dims the brightness of the bedside lamp and gradually reduces the volume of the music playing device, the brightness of the light and the volume of the played music are adjusted once every one minute until five minutes later, the light is turned off, and the music playing device is turned off;
step SS 2: the high-definition camera acquires the sleeping posture image data of a user in real time, judges the breathing state through the fluctuation state of the chest, marks the breathing frequency of the user in each minute as breathing state data, analyzes and judges the sleeping posture image data, measures the distance between the head and the feet of the user in the sleeping posture image data, and calculates the ratio of the distance on the graph at the moment to the distance on the graph in the lying state to obtain the stretching coefficient;
step SS 3: comparing the extension coefficient with a preset coefficient value, when the extension coefficient is less than or equal to the preset coefficient value, judging that the current somatosensory state of the user is cold, when the extension coefficient is greater than the preset coefficient value, acquiring respiratory state data in a time interval after the user enters a sleep state and indoor temperature data in a corresponding time period, establishing a planar rectangular coordinate system by taking the indoor temperature data as a longitudinal axis and the respiratory state data as a transverse axis, respectively performing point marking on the respiratory state data in a certain minute and the corresponding indoor average temperature data as transverse and longitudinal coordinates in the planar rectangular coordinate system, and connecting marked points by using smooth curves to obtain a relation curve between the indoor temperature and the respiratory state;
step SS 4: matching different optimal sleep breathing frequency ranges according to different user age groups, obtaining corresponding temperature ranges in a plane rectangular coordinate system, taking an intermediate temperature value in the temperature ranges as an optimal matching temperature, and judging that the current somatosensory state of the user is 'hot' when an extension coefficient is larger than a preset coefficient and the breathing state data exceeds the optimal sleep breathing frequency range;
step SS 5: when the current user somatosensory state is judged to be cold or hot, the indoor temperature is adjusted to the optimal matching temperature obtained in the step SS4 through the temperature and humidity management module;
step SS 6: when the indoor air quality of sleep in-process does not reach standard, the ventilation management module automatic control window opens the quarter area and ventilates, and is poor when outdoor weather conditions, like heavy rain or when strong wind weather, the intelligent air conditioner opens the air supply function of taking a breath after the temperature reaches the best matching temperature automatically and ventilates.
When the users entering the bedroom are two or more, the bedside lamp is controlled in a partitioned mode, the volume closing time of the music is subject to the sleep time of the first user falling asleep, when the somatosensory states of the users are inconsistent, the indoor temperature is adjusted to the average value of the optimal matching temperatures, the wind direction is adjusted automatically to the users with the somatosensory states of cold or hot, meanwhile, the optimal indoor temperature, humidity, lamplight intensity and music volume suitable for the users in different sleep time periods are matched through the temperature and humidity, the sleep time, the sleep duration and the turnover times of the users in the sleep process, and the corresponding intelligent management strategies are preferentially adopted in subsequent management control.
Although the present invention has been described with reference to the preferred embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but is intended to cover various modifications, equivalents and alternatives falling within the spirit and scope of the invention.
Claims (9)
1. The utility model provides a full-automatic intelligent house management system which characterized in that includes:
the environment monitoring unit is used for acquiring data of indoor and outdoor temperature, indoor humidity and air quality conditions through a temperature sensor, a humidity sensor and an air quality detector, and automatically updating and transmitting the data to the data storage unit at regular time;
the authorization setting unit provides an authorization interface for a user, the user controls the autonomous regulation authority of the intelligent household articles through the authorization setting unit, and the authorization setting unit is in communication connection with the environment management unit through an intelligent gateway controller;
the environment management unit is used for preparing and adjusting the environment in the bedroom before the user enters the bedroom, and meanwhile, after the analysis customizing unit monitors and analyzes the sleeping state of the user, the environment management unit adjusts the environment according to the analysis result.
2. The system according to claim 1, wherein the environment management unit is divided into three management modules, which are a temperature and humidity management module, a lighting and sound management module and a ventilation management module, respectively, the temperature and humidity management module is used for adjusting the temperature and humidity conditions in the bedroom, the lighting and sound management module is used for controlling and adjusting the bedside lamp and the music playing device, and the ventilation management module is used for controlling the opening and closing states of the door, the window and the curtain.
3. The system of claim 1, wherein the environmental management unit enters the working state ten minutes before the sleep time requirement, determines whether the indoor air quality meets the standard, and adopts different temperature adjustment and ventilation strategies according to the indoor and outdoor temperature and the sleep time requirement.
4. The system according to claim 2, wherein the high definition camera compares the acquired image of the user's sleeping posture with a preset image of the user's sleeping posture in the data storage unit, determines whether the user is in a sleeping state, adjusts the brightness of the light and the volume of the music through the illumination and sound management module, and turns off the system completely within a set time.
5. The system of claim 4, wherein the analysis and customization unit determines whether the somatosensory state of the user is "cold" or "hot" according to the sleeping posture image data and the breathing state data of the user when the user is in the sleeping state.
6. The system of claim 5, wherein the analysis and customization unit measures the distance between the head and the foot of the user in the image data of the sleeping posture, calculates the extension coefficient, compares the extension coefficient with a preset coefficient value, and determines that the current somatosensory state of the user is cold when the extension coefficient is smaller than or equal to the preset coefficient value.
7. The full-automatic intelligent home management system according to claim 6, wherein the breathing state data in a time interval after the user enters the sleep state and the indoor temperature data in a corresponding time period are acquired, a relation curve between the indoor temperature and the breathing state is established, different optimal sleep breathing frequency ranges are matched according to different user age groups, the optimal matching temperature is determined, and when the extension coefficient is larger than a preset coefficient and the breathing state data exceeds the optimal sleep breathing frequency range, the current somatosensory state of the user is judged to be 'hot'.
8. The system of claim 5, wherein when more than one user enters the bedroom, the bedside lamp performs zone control, the volume off time of the light music is based on the sleep time of the first user, the indoor temperature is adjusted to the average value of the optimal matching temperatures, the wind direction is automatically adjusted, and the wind direction is adjusted to the user whose somatosensory state is cold or whose somatosensory state is hot.
9. The system of claim 8, wherein the analysis customizing unit matches the optimal indoor temperature, humidity, light intensity and music volume suitable for the user during different sleep periods by matching the temperature, humidity, sleep time, sleep duration and turn-over times of the user during sleep, and preferentially adopts the corresponding intelligent management strategy in the subsequent management control.
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CN114609921A (en) * | 2022-03-03 | 2022-06-10 | 江苏悦达绿色建筑科技有限公司 | High-comfort low-energy-consumption three-constant home environment control system and method |
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