CN112648720A - Indoor environment monitoring and adjusting method and device based on big data - Google Patents
Indoor environment monitoring and adjusting method and device based on big data Download PDFInfo
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- CN112648720A CN112648720A CN202011504390.8A CN202011504390A CN112648720A CN 112648720 A CN112648720 A CN 112648720A CN 202011504390 A CN202011504390 A CN 202011504390A CN 112648720 A CN112648720 A CN 112648720A
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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
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
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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
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
Abstract
The indoor environment monitoring and adjusting method and device based on big data acquire monitoring meteorological data of preset dates of a given place, wherein the monitoring meteorological data comprise humidity information, temperature information, air quality information and wind power information; associating the monitoring meteorological data with the indoor specified environment adjusting equipment, and controlling the indoor specified environment adjusting equipment through the monitoring meteorological data; constructing a dynamic change model for monitoring meteorological data, wherein the dynamic change model comprises the change trend of the monitoring meteorological data; presetting a corresponding relation between an adjusting instruction of the indoor specified environment adjusting equipment and the change trend of the monitored meteorological data, and presetting an adjusting period of the indoor specified environment adjusting equipment; and dynamically adjusting the running state of the indoor specified environment adjusting equipment according to the adjusting period according to the corresponding relation between the adjusting instruction of the indoor specified environment adjusting equipment and the change trend of the monitored meteorological data. The invention realizes the cooperative change of the indoor environment and the outdoor environment, and ensures that the indoor environment maintains a good living state.
Description
Technical Field
The invention belongs to the technical field of indoor environment regulation, and particularly relates to an indoor environment monitoring and regulating method and device based on big data.
Background
Indoor environments typically include living rooms, office buildings, offices, vehicles, cultural entertainment sports venues, hospital wards, school-kindergarten classroom studios, restaurants, hotels, and the like. The quality of indoor environment is closely related to health. Taking a home environment as an example, the artificial small environment for family reunion, rest, study and household labor. The quality of the household environmental sanitation condition directly influences the morbidity and mortality of residents. Urban residents work, study and live in the room every day for about 90% of the whole day, and some old people and children stay indoors for a longer time.
The indoor environment is used as an occasion in daily life or working process of people, is influenced by outdoor environment change, people feel the change of the outdoor environment, and then corresponding adjustment is carried out on the indoor environment. At the present stage, people usually adjust the indoor environment according to experience and body feeling, need to change the adjustment objects and parameters ceaselessly, cannot timely follow the change of the external environment to correspondingly adjust the indoor environment, cannot maintain the indoor environment in a good living state, and further influences the indoor work and life experience of people.
Disclosure of Invention
Therefore, the invention provides an indoor environment monitoring and adjusting method and device based on big data, which realize the cooperative change of the indoor environment and the outdoor environment, avoid artificial complicated and nonstandard regulation and control and enable the indoor environment to maintain a good livable state.
In order to achieve the above purpose, the invention provides the following technical scheme: the indoor environment monitoring and adjusting method based on the big data comprises the following steps:
acquiring monitoring meteorological data of a preset date of a given place, wherein the monitoring meteorological data comprises humidity information, temperature information, air quality information and wind power information;
associating the monitoring meteorological data with indoor specified environment adjusting equipment, and controlling the indoor specified environment adjusting equipment through the monitoring meteorological data;
constructing a dynamic change model of the monitoring meteorological data, wherein the dynamic change model comprises change trends of humidity information, temperature information, air quality information and wind power information;
presetting a corresponding relation between an adjusting instruction of the indoor specified environment adjusting equipment and the change trend of the monitored meteorological data, and presetting an adjusting period of the indoor specified environment adjusting equipment;
and dynamically adjusting the running state of the indoor specified environment adjusting equipment according to the adjusting period according to the corresponding relation between the adjusting instruction of the indoor specified environment adjusting equipment and the change trend of the monitored meteorological data.
As a preferred scheme of the indoor environment monitoring and adjusting method based on big data, the humidity information is associated with an indoor humidifying device, the corresponding relation between an adjusting instruction of the indoor humidifying device and the humidity change trend is preset, and the adjusting period of the indoor humidifying device is preset; and dynamically adjusting the running state of the indoor humidifying device according to the corresponding relation between the adjusting instruction of the indoor humidifying device and the change trend of the humidity, wherein the running state of the indoor humidifying device comprises starting and stopping, increasing gears or reducing gears.
As a preferred scheme of the indoor environment monitoring and adjusting method based on big data, the temperature information is associated with an indoor air conditioner, the corresponding relation between an adjusting instruction of the indoor air conditioner and the temperature change trend is preset, and the adjusting period of the indoor air conditioner is preset; and dynamically adjusting the running state of the indoor air conditioning device according to the corresponding relation between the adjusting instruction of the indoor air conditioning device and the temperature change trend and the adjusting period, wherein the running state of the indoor air conditioning device comprises starting and stopping, increasing the temperature or reducing the temperature.
As a preferred scheme of the indoor environment monitoring and adjusting method based on big data, the air quality information is associated with an indoor air purification device, a corresponding relation between an adjustment instruction of the indoor air purification device and an air quality change trend is preset, an adjustment period of the indoor air purification device is preset, and an operation state of the indoor air purification device is dynamically adjusted according to the adjustment period.
The method is used for dynamically adjusting the running state of the intelligent window control system according to the preset adjustment period of the intelligent window control system.
As a preferable scheme of the indoor environment monitoring and adjusting method based on big data, the air quality information and the wind power information are associated:
when the wind power is increased and the air quality is poor, closing the window through the intelligent window control system;
when the air quality is excellent, the opening range of the window is controlled by the intelligent window control system according to the wind power to perform ventilation.
As a preferred scheme of the indoor environment monitoring and adjusting method based on big data, the temperature information is associated with the smart window control system, a corresponding relation between an adjustment instruction of the smart window control system and a temperature change trend is preset, an adjustment period of the smart window control system is preset, and an operation state of the smart window control system is dynamically adjusted according to the adjustment period.
As a preferable scheme of the indoor environment monitoring and adjusting method based on big data, the temperature information, the air quality information and the wind power information are associated:
when the air quality is excellent and the temperature is in a preset range, the opening range of the window is controlled by the intelligent window control system according to the wind power to carry out ventilation.
As a preferable scheme of the indoor environment monitoring and adjusting method based on big data, historical meteorological data of a given place are obtained, and a dynamic change model of a given date is constructed according to the historical meteorological data.
The invention also provides an indoor environment monitoring and adjusting device based on the big data, and the indoor environment monitoring and adjusting method based on the big data comprises the following steps:
the system comprises a meteorological data acquisition module, a weather analysis module and a weather analysis module, wherein the meteorological data acquisition module is used for acquiring monitoring meteorological data of a preset date of a given place, and the monitoring meteorological data comprises humidity information, temperature information, air quality information and wind power information;
the meteorological data association module is used for associating the monitored meteorological data with the indoor specified environment regulating equipment and controlling the indoor specified environment regulating equipment through the monitored meteorological data;
the dynamic change model building module is used for building a dynamic change model of the monitoring meteorological data, and the dynamic change model comprises change trends of humidity information, temperature information, air quality information and wind power information;
the parameter configuration module is used for presetting the corresponding relation between the adjustment instruction of the indoor specified environment adjusting equipment and the change trend of the monitored meteorological data and presetting the adjustment period of the indoor specified environment adjusting equipment;
and the running state control module is used for dynamically regulating the running state of the indoor specified environment regulating equipment according to the corresponding relation between the regulating instruction of the indoor specified environment regulating equipment and the change trend of the monitored meteorological data and the regulating period.
The method comprises the steps of acquiring monitoring meteorological data of a preset date of a given place, wherein the monitoring meteorological data comprises humidity information, temperature information, air quality information and wind power information; associating the monitoring meteorological data with the indoor specified environment adjusting equipment, and controlling the indoor specified environment adjusting equipment through the monitoring meteorological data; constructing a dynamic change model for monitoring meteorological data, wherein the dynamic change model comprises change trends of humidity information, temperature information, air quality information and wind power information; presetting a corresponding relation between an adjusting instruction of the indoor specified environment adjusting equipment and the change trend of the monitored meteorological data, and presetting an adjusting period of the indoor specified environment adjusting equipment; and dynamically adjusting the running state of the indoor specified environment adjusting equipment according to the adjusting period according to the corresponding relation between the adjusting instruction of the indoor specified environment adjusting equipment and the change trend of the monitored meteorological data. The invention solves the problem of large deviation caused by the non-standard indoor environment regulation performed manually in the prior art, realizes the cooperative change of the indoor environment and the outdoor environment, avoids the artificial complex non-standard regulation and control, enables the indoor environment to maintain a good living state, and is beneficial to the life and work of people.
Drawings
In order to more clearly illustrate the embodiments of the present invention 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. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
Fig. 1 is a schematic flow chart of an indoor environment monitoring and adjusting method based on big data according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of an indoor environment monitoring and adjusting device based on big data according to an embodiment of the present invention.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a big data-based indoor environment monitoring and adjusting method is provided, which includes the following steps:
s1, acquiring monitoring meteorological data of a preset date of a given place, wherein the monitoring meteorological data comprises humidity information, temperature information, air quality information and wind power information;
s2, associating the monitoring meteorological data with the indoor specified environment adjusting equipment, and controlling the indoor specified environment adjusting equipment through the monitoring meteorological data;
s3, constructing a dynamic change model of the monitoring meteorological data, wherein the dynamic change model comprises change trends of humidity information, temperature information, air quality information and wind power information;
s4, presetting a corresponding relation between an adjusting instruction of the indoor specified environment adjusting equipment and the change trend of the monitored meteorological data, and presetting an adjusting period of the indoor specified environment adjusting equipment;
and S5, dynamically adjusting the running state of the indoor specified environment adjusting equipment according to the adjusting period according to the corresponding relation between the adjusting instruction of the indoor specified environment adjusting equipment and the change trend of the monitored meteorological data.
In one embodiment of the indoor environment monitoring and adjusting method based on big data, the humidity information is associated with an indoor humidifying device, the corresponding relation between an adjusting instruction of the indoor humidifying device and the humidity change trend is preset, and the adjusting period of the indoor humidifying device is preset; and dynamically adjusting the running state of the indoor humidifying device according to the corresponding relation between the adjusting instruction of the indoor humidifying device and the change trend of the humidity, wherein the running state of the indoor humidifying device comprises starting and stopping, increasing gears or reducing gears.
Specifically, the indoor humidifying device adopts an indoor humidifier, and the gears of the indoor humidifier are adjusted according to the humidity information, so that the humidity of the indoor environment is maintained in a proper range. When the humidity of the indoor environment is maintained in the proper range, the indoor humidifier can be stopped, and restarted again after the adjustment period is reached, and meanwhile, the gear size of the indoor humidifier can be controlled in advance according to the change trend of the humidity.
In one embodiment of the big data based indoor environment monitoring and adjusting method, the temperature information is associated with an indoor air conditioner, the corresponding relation between an adjusting instruction of the indoor air conditioner and a temperature change trend is preset, and the adjusting period of the indoor air conditioner is preset; and dynamically adjusting the running state of the indoor air conditioning device according to the corresponding relation between the adjusting instruction of the indoor air conditioning device and the temperature change trend and the adjusting period, wherein the running state of the indoor air conditioning device comprises starting and stopping, increasing the temperature or reducing the temperature.
Specifically, the indoor air conditioning device can be an air conditioner or a floor heating device, and the gear of the air conditioner or the floor heating device is adjusted according to temperature information, so that the temperature of the indoor environment is maintained in a proper range. When the outdoor environment temperature changes, the gear size of the air conditioner or the floor heating can be controlled in advance according to the change trend of the outdoor environment temperature.
In an embodiment of the indoor environment monitoring and adjusting method based on big data, the air quality information is associated with an indoor air purification device, a corresponding relation between an adjustment instruction of the indoor air purification device and an air quality change trend is preset, an adjustment period of the indoor air purification device is preset, and an operation state of the indoor air purification device is dynamically adjusted according to the adjustment period.
Specifically, indoor air purification device adopts air purifier, adjusts air purifier's operating condition according to air quality information to when outdoor environment quality is relatively poor, can be according to the gear size or the operating condition of the control air purifier in advance of the trend of change of air quality.
In one embodiment of the indoor environment monitoring and adjusting method based on big data, the wind power information is associated with the intelligent window control system, the corresponding relation between the adjusting instruction of the intelligent window control system and the wind power change trend is preset, the adjusting period of the intelligent window control system is preset, and the running state of the intelligent window control system is dynamically adjusted according to the adjusting period.
Specifically, the air quality information and the wind power information are correlated:
when the wind power is increased and the air quality is poor, closing the window through the intelligent window control system;
when the air quality is excellent, the opening range of the window is controlled by the intelligent window control system according to the wind power to perform ventilation.
In one embodiment of the indoor environment monitoring and adjusting method based on big data, the temperature information is associated with the smart window control system, a corresponding relation between an adjusting instruction of the smart window control system and a temperature change trend is preset, an adjusting period of the smart window control system is preset, and an operating state of the smart window control system is dynamically adjusted according to the adjusting period.
Specifically, associating the temperature information, the air quality information, and the wind information:
when the air quality is excellent and the temperature is in a preset range, the opening range of the window is controlled by the intelligent window control system according to the wind power to carry out ventilation.
In one embodiment of the indoor environment monitoring and adjusting method based on big data, historical meteorological data of a given place are obtained, and a dynamic change model of a given date is built according to the historical meteorological data. As the meteorological environments of a given place in the same period are basically consistent throughout the year, a dynamic change model of a given place at a given date can be constructed according to historical meteorological data, and the outdoor environment does not need to be monitored in real time.
Referring to fig. 2, the present invention further provides an indoor environment monitoring and adjusting device based on big data, and the indoor environment monitoring and adjusting method based on big data includes:
the system comprises a meteorological data acquisition module 1, a weather analysis module and a weather analysis module, wherein the meteorological data acquisition module is used for acquiring monitoring meteorological data of a preset date of a given place, and the monitoring meteorological data comprises humidity information, temperature information, air quality information and wind power information;
the meteorological data association module 2 is used for associating the monitored meteorological data with the indoor specified environment regulating equipment and controlling the indoor specified environment regulating equipment through the monitored meteorological data;
the dynamic change model building module 3 is used for building a dynamic change model of the monitoring meteorological data, and the dynamic change model comprises change trends of humidity information, temperature information, air quality information and wind power information;
the parameter configuration module 4 is used for presetting the corresponding relation between the adjustment instruction of the indoor specified environment adjusting equipment and the change trend of the monitored meteorological data and presetting the adjustment period of the indoor specified environment adjusting equipment;
and the running state control module 5 is used for dynamically adjusting the running state of the indoor specified environment adjusting equipment according to the corresponding relation between the adjusting instruction of the indoor specified environment adjusting equipment and the change trend of the monitored meteorological data and the adjusting period.
It should be noted that, for the information interaction, execution process, and other contents between the modules/units of the apparatus, since the same concept is based on the method embodiment in the embodiment of the present application, the technical effect brought by the method embodiment is the same as that of the method embodiment of the present application, and specific contents may refer to the description in the foregoing method embodiment of the present application, and are not described herein again.
The method comprises the steps of acquiring monitoring meteorological data of a preset date of a given place, wherein the monitoring meteorological data comprises humidity information, temperature information, air quality information and wind power information; associating the monitoring meteorological data with the indoor specified environment adjusting equipment, and controlling the indoor specified environment adjusting equipment through the monitoring meteorological data; constructing a dynamic change model for monitoring meteorological data, wherein the dynamic change model comprises change trends of humidity information, temperature information, air quality information and wind power information; presetting a corresponding relation between an adjusting instruction of the indoor specified environment adjusting equipment and the change trend of the monitored meteorological data, and presetting an adjusting period of the indoor specified environment adjusting equipment; and dynamically adjusting the running state of the indoor specified environment adjusting equipment according to the adjusting period according to the corresponding relation between the adjusting instruction of the indoor specified environment adjusting equipment and the change trend of the monitored meteorological data. The invention solves the problem of large deviation caused by the non-standard indoor environment regulation performed manually in the prior art, realizes the cooperative change of the indoor environment and the outdoor environment, avoids the artificial complex non-standard regulation and control, enables the indoor environment to maintain a good living state, and is beneficial to the life and work of people.
Although the invention has been described in detail above with reference to a general description and specific examples, it will be apparent to one skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (10)
1. The indoor environment monitoring and adjusting method based on the big data is characterized by comprising the following steps:
acquiring monitoring meteorological data of a preset date of a given place, wherein the monitoring meteorological data comprises humidity information, temperature information, air quality information and wind power information;
associating the monitoring meteorological data with indoor specified environment adjusting equipment, and controlling the indoor specified environment adjusting equipment through the monitoring meteorological data;
constructing a dynamic change model of the monitoring meteorological data, wherein the dynamic change model comprises change trends of humidity information, temperature information, air quality information and wind power information;
presetting a corresponding relation between an adjusting instruction of the indoor specified environment adjusting equipment and the change trend of the monitored meteorological data, and presetting an adjusting period of the indoor specified environment adjusting equipment;
and dynamically adjusting the running state of the indoor specified environment adjusting equipment according to the adjusting period according to the corresponding relation between the adjusting instruction of the indoor specified environment adjusting equipment and the change trend of the monitored meteorological data.
2. The indoor environment monitoring and adjusting method based on big data as claimed in claim 1, wherein the humidity information is associated with an indoor humidifying device, the corresponding relation between the adjusting instruction of the indoor humidifying device and the humidity change trend is preset, and the adjusting period of the indoor humidifying device is preset; and dynamically adjusting the running state of the indoor humidifying device according to the corresponding relation between the adjusting instruction of the indoor humidifying device and the change trend of the humidity, wherein the running state of the indoor humidifying device comprises starting and stopping, increasing gears or reducing gears.
3. The big-data based indoor environment monitoring method according to claim 1, wherein the temperature information is associated with an indoor air conditioner, a correspondence between an adjustment command of the indoor air conditioner and a temperature variation trend is preset, and an adjustment period of the indoor air conditioner is preset; and dynamically adjusting the running state of the indoor air conditioning device according to the corresponding relation between the adjusting instruction of the indoor air conditioning device and the temperature change trend and the adjusting period, wherein the running state of the indoor air conditioning device comprises starting and stopping, increasing the temperature or reducing the temperature.
4. The big-data based indoor environment monitoring and adjusting method according to claim 1, wherein the air quality information is associated with an indoor air purification device, a correspondence between an adjustment command of the indoor air purification device and an air quality variation trend is preset, an adjustment period of the indoor air purification device is preset, and an operation state of the indoor air purification device is dynamically adjusted according to the adjustment period.
5. The indoor environment monitoring and adjusting method based on big data as claimed in claim 1, wherein the wind information is associated with a smart window control system, a corresponding relationship between an adjustment instruction of the smart window control system and a wind change trend is preset, an adjustment period of the smart window control system is preset, and an operation state of the smart window control system is dynamically adjusted according to the adjustment period.
6. The big-data based indoor environment monitoring and adjusting method according to claim 5, wherein the air quality information and wind power information are associated:
when the wind power is increased and the air quality is poor, closing the window through the intelligent window control system;
when the air quality is excellent, the opening range of the window is controlled by the intelligent window control system according to the wind power to perform ventilation.
7. The indoor environment monitoring and adjusting method based on big data as claimed in claim 5, wherein the temperature information is associated with a smart window control system, a corresponding relationship between an adjustment instruction of the smart window control system and a temperature variation trend is preset, an adjustment period of the smart window control system is preset, and an operation state of the smart window control system is dynamically adjusted according to the adjustment period.
8. The big-data based indoor environment monitoring and adjusting method according to claim 7, wherein the temperature information, the air quality information and the wind power information are associated:
when the air quality is excellent and the temperature is in a preset range, the opening range of the window is controlled by the intelligent window control system according to the wind power to carry out ventilation.
9. The big data based indoor environment monitoring method as claimed in claim 1, wherein historical meteorological data of a given place is obtained, and a dynamic change model of a given date is constructed according to the historical meteorological data.
10. The big data based indoor environment monitoring and adjusting apparatus using the big data based indoor environment monitoring and adjusting method according to any one of claims 1 to 9, comprising:
the system comprises a meteorological data acquisition module, a weather analysis module and a weather analysis module, wherein the meteorological data acquisition module is used for acquiring monitoring meteorological data of a preset date of a given place, and the monitoring meteorological data comprises humidity information, temperature information, air quality information and wind power information;
the meteorological data association module is used for associating the monitored meteorological data with the indoor specified environment regulating equipment and controlling the indoor specified environment regulating equipment through the monitored meteorological data;
the dynamic change model building module is used for building a dynamic change model of the monitoring meteorological data, and the dynamic change model comprises change trends of humidity information, temperature information, air quality information and wind power information;
the parameter configuration module is used for presetting the corresponding relation between the adjustment instruction of the indoor specified environment adjusting equipment and the change trend of the monitored meteorological data and presetting the adjustment period of the indoor specified environment adjusting equipment;
and the running state control module is used for dynamically regulating the running state of the indoor specified environment regulating equipment according to the corresponding relation between the regulating instruction of the indoor specified environment regulating equipment and the change trend of the monitored meteorological data and the regulating period.
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| CN111795484A (en) * | 2020-07-24 | 2020-10-20 | 北京大学深圳研究生院 | Intelligent air conditioner control method and system |
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