CN117146381A - Intelligent refrigerating device controlled by combination of fan and air conditioner - Google Patents
Intelligent refrigerating device controlled by combination of fan and air conditioner Download PDFInfo
- Publication number
- CN117146381A CN117146381A CN202311020606.7A CN202311020606A CN117146381A CN 117146381 A CN117146381 A CN 117146381A CN 202311020606 A CN202311020606 A CN 202311020606A CN 117146381 A CN117146381 A CN 117146381A
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- control module
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- 238000004378 air conditioning Methods 0.000 claims abstract description 39
- 230000000694 effects Effects 0.000 claims description 8
- 230000003238 somatosensory effect Effects 0.000 claims description 6
- 238000005516 engineering process Methods 0.000 claims description 5
- 230000036760 body temperature Effects 0.000 claims description 3
- 238000001816 cooling Methods 0.000 claims description 3
- 238000007405 data analysis Methods 0.000 claims description 3
- 230000007613 environmental effect Effects 0.000 claims description 3
- 230000008713 feedback mechanism Effects 0.000 claims description 3
- 238000010801 machine learning Methods 0.000 claims description 3
- 238000003909 pattern recognition Methods 0.000 claims description 3
- 238000005057 refrigeration Methods 0.000 description 5
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- 230000006870 function Effects 0.000 description 2
- 239000003973 paint Substances 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000007791 dehumidification Methods 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
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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
-
- 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
-
- 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
-
- 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
- F24F11/89—Arrangement or mounting of control or safety devices
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F5/00—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater
- F24F5/0096—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater combined with domestic apparatus
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
- F24F2110/12—Temperature of the outside air
-
- 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
- F24F2120/12—Position of occupants
-
- 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
- F24F2120/20—Feedback from users
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention provides an intelligent refrigerating device controlled by combining a fan and an air conditioner, wherein a sensor module periodically detects indoor environment parameters and is in data connection with a main control module; the main control module controls the air conditioning module and the fan module to work according to the indoor environment parameters; the indoor environment temperature detected by the sensor module is T0; an indoor environment temperature threshold TS is arranged in the main control module; the main control module controls the air conditioning module and the fan module to work according to the indoor environment parameters: when TS is more than or equal to T0, the air conditioning module does not work; when TS < T0, the air conditioning module is started; when T0 is more than or equal to 18 and less than or equal to 23, the fan module works in a first gear; when T0 is more than or equal to 24 and less than or equal to 26, the fan module works in the second gear; when T0 is more than or equal to 27 and less than or equal to 28, the fan module works in third gear; when T0>28, the fan module operates in fourth gear; the main control module controls the air conditioning module and the fan module to work according to the indoor environment parameters: when TS-T0 is more than or equal to the set threshold value, the air conditioning module does not work, and when TS-T0 is less than the set threshold value, the air conditioning module is started.
Description
Technical Field
The invention relates to an intelligent refrigerating device controlled by combining a fan and an air conditioner.
Background
In the hot summer of high temperature weather, people often turn on the air conditioner to lower the indoor temperature. However, the conventional air conditioner is excellent in the refrigerating effect, but at the same time, there are also a great deal of problems of energy waste and excessive use cost, which are mainly manifested in:
1. the price is higher: because the high-end technologies such as the Internet of things and the artificial intelligence are adopted, the manufacturing cost is high, and the method is not suitable for all consumers;
2. reliability is still to be improved: the reliability of the device is still to be improved due to the technology related to mechanical, electronic and other aspects;
3. the compatibility is insufficient: because of different technical schemes adopted by various manufacturers, the compatibility is insufficient, so that some devices cannot be mutually matched;
4. the use threshold is higher: for an ordinary user, a certain technical knowledge is required to better use and maintain the intelligent refrigeration device.
Air-conditioning fans other than air-conditioning fans are currently on the market, but the following disadvantages also exist:
1. the large-area refrigerating effect is not very good, the refrigerating effect of the air-conditioning fan is limited, and the air-conditioning fan is more suitable for small rooms;
2. the water-based paint has no dehumidification function, so that the water-based paint is not suitable for environments with high humidity;
3. the places with high temperature are not good, and the refrigerating effect and the cooling speed of the air conditioner cannot be compared;
4. the noise is large, and the device is not suitable for hospitals, old and young rooms and the like;
5. the use is inconvenient, and water is added once about half an hour.
Disclosure of Invention
The invention aims to solve the main technical problem of providing an intelligent refrigerating device with a fan and an air conditioner combined control function, and the intelligent refrigerating device has the advantages of the air conditioner and the fan.
In order to solve the technical problems, the present invention provides an intelligent refrigeration device for controlling a fan and an air conditioner in a combined manner, comprising: the system comprises a main control module, a power supply module, a fan module, an air conditioning module and a sensor module;
the sensor module periodically detects indoor environment parameters and is in data connection with the main control module; the main control module controls the air conditioning module and the fan module to work according to the indoor environment parameters;
the indoor environment temperature detected by the sensor module is T0; an indoor environment temperature threshold TS is arranged in the main control module; the main control module controls the air conditioning module and the fan module to work according to the indoor environment parameters: when TS is more than or equal to T0, the air conditioning module does not work; when TS < T0, the air conditioning module is started; when T0 is more than or equal to 18 and less than or equal to 23, the fan module works in a first gear; when T0 is more than or equal to 24 and less than or equal to 26, the fan module works in a second gear; when T0 is more than or equal to 27 and less than or equal to 28, the fan module works in third gear; when T0>28, the fan module operates in fourth gear;
or, the main control module controls the air conditioner module and the fan module to work according to the indoor environment parameters: when TS-T0 is more than or equal to a set threshold value, the air conditioning module does not work, and when TS-T0 is less than the set threshold value, the air conditioning module is started;
or, the main control module controls the air conditioner module and the fan module to work according to the indoor environment parameters: the main control module learns the habit and preference of a user according to the real-time data and the historical data of the temperature sensor module, and optimizes the operation of the fan module and the air conditioner module according to the learned mode and preference.
In a preferred embodiment: the main control module learns the habit and preference of the user according to the real-time data and the historical data of the temperature sensor module, and specifically comprises the following steps:
1) The sensor module collects indoor, outdoor and somatosensory temperature data and transmits the indoor, outdoor and somatosensory temperature data to the main control module, and the main control module updates the environmental temperature data in a set period;
2) Data analysis and modeling: the main control module uses outdoor, indoor and body temperature to analyze and model, uses machine learning algorithm and pattern recognition technology to analyze temperature data, and builds a model to recognize different temperature patterns and the use habit of a user;
3) The main control module records the frequency and waiting time of using the fan and the air conditioner at different temperatures;
4) An autonomous regulation strategy way, wherein the main control module formulates an autonomous regulation strategy according to the current outdoor temperature and the habit of a user according to the modeling and learning results; the strategy covers conditions for starting and stopping the fan module and the air conditioning module, as well as their modes of operation and gear;
5) Feedback mechanism: the main includes user feedback, which can be used to adjust the system's understanding of user needs and preferences, and effect assessment, which can be used to assess the performance of the system and further improve the learning mode based on the assessment results.
In a preferred embodiment: the sensor module further comprises a human body sensor, and when a person in the environment is detected, the main control module automatically adjusts the operation modes of the fan module and the air conditioner module; when no person is detected in the environment, the main control module controls the fan module and the air conditioning module to enter an energy-saving mode.
Compared with the prior art, the technical scheme of the invention has the following beneficial effects:
the invention provides an intelligent refrigerating device with a fan and an air conditioner in combined control, which can greatly improve the refrigerating effect and save energy by combining a fan module with the air conditioner module. The sensor module can constantly monitor indoor environment parameters, so that the main control module can timely make adjustment, and the comfort level of the indoor environment is guaranteed. The main control module can conduct intelligent control according to indoor environment parameters, refrigeration efficiency is further improved, and energy sources are saved. Therefore, the invention has the advantages of high refrigeration efficiency, low energy consumption, simple and convenient operation and the like, and can be widely applied to places such as families, commercial spaces and the like.
Drawings
Fig. 1 is a schematic view illustrating start-stop conditions of a fan module and an air conditioning module according to a preferred embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention; it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments, and that all other embodiments obtained by persons of ordinary skill in the art without making creative efforts based on the embodiments in the present invention are within the protection scope of the present invention.
In the description of the present invention, it should be noted that the positional or positional relationship indicated by the terms such as "upper", "lower", "inner", "outer", "top/bottom", etc. are based on the positional or positional relationship shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," configured to, "" engaged with, "" connected to, "and the like are to be construed broadly, and may be, for example," connected to, "wall-mounted," connected to, removably connected to, or integrally connected to, mechanically connected to, electrically connected to, directly connected to, or indirectly connected to, through an intermediary, and may be in communication with each other between two elements, as will be apparent to those of ordinary skill in the art, in view of the detailed description of the terms herein.
Referring to fig. 1, this embodiment provides an intelligent refrigeration device with fan and air conditioner combined control, including: the system comprises a main control module, a power supply module, a fan module, an air conditioning module and a sensor module;
the sensor module periodically detects indoor environment parameters and is in data connection with the main control module; the main control module controls the air conditioning module and the fan module to work according to the indoor environment parameters;
the indoor environment temperature detected by the sensor module is T0; an indoor environment temperature threshold TS is arranged in the main control module; the main control module controls the air conditioning module and the fan module to work according to the indoor environment parameters: when TS is more than or equal to T0, the air conditioning module does not work; when TS < T0, the air conditioning module is started; when T0 is more than or equal to 18 and less than or equal to 23, the fan module works in a first gear; when T0 is more than or equal to 24 and less than or equal to 26, the fan module works in a second gear; when T0 is more than or equal to 27 and less than or equal to 28, the fan module works in third gear; when T0>28, the fan module operates in fourth gear;
or, the main control module controls the air conditioner module and the fan module to work according to the indoor environment parameters: when TS-T0 is more than or equal to a set threshold value, the air conditioning module does not work, and when TS-T0 is less than the set threshold value, the air conditioning module is started;
or, the main control module controls the air conditioner module and the fan module to work according to the indoor environment parameters: the main control module learns the habit and preference of a user according to the real-time data and the historical data of the temperature sensor module, and optimizes the operation of the fan module and the air conditioner module according to the learned mode and preference.
In this embodiment, the learning, by the main control module, the habit and preference of the user according to the real-time data and the history data of the temperature sensor module specifically includes:
1) The sensor module collects indoor, outdoor and somatosensory temperature data and transmits the indoor, outdoor and somatosensory temperature data to the main control module, and the main control module updates the environmental temperature data in a set period;
2) Data analysis and modeling: the main control module uses outdoor, indoor and body temperature to analyze and model, uses machine learning algorithm and pattern recognition technology to analyze temperature data, and builds a model to recognize different temperature patterns and the use habit of a user;
3) The main control module records the frequency and waiting time of using the fan and the air conditioner at different temperatures;
4) An autonomous regulation strategy way, wherein the main control module formulates an autonomous regulation strategy according to the current outdoor temperature and the habit of a user according to the modeling and learning results; the strategy covers conditions for starting and stopping the fan module and the air conditioning module, as well as their modes of operation and gear;
5) Feedback mechanism: the main includes user feedback, which can be used to adjust the system's understanding of user needs and preferences, and effect assessment, which can be used to assess the performance of the system and further improve the learning mode based on the assessment results.
The sensor module preferably further comprises a human body sensor, and when a person in the environment is detected, the main control module automatically adjusts the operation modes of the fan module and the air conditioner module; when no person is detected in the environment, the main control module controls the fan module and the air conditioning module to enter an energy-saving mode.
The foregoing is only a preferred embodiment of the present invention, but the design concept of the present invention is not limited thereto, and any person skilled in the art will be able to make insubstantial modifications of the present invention within the scope of the present invention disclosed herein by this concept, which falls within the actions of invading the protection scope of the present invention.
Claims (3)
1. An intelligent refrigerating device controlled by combining a fan and an air conditioner is characterized by comprising: the system comprises a main control module, a power supply module, a fan module, an air conditioning module and a sensor module;
the sensor module periodically detects indoor environment parameters and is in data connection with the main control module; the main control module controls the air conditioning module and the fan module to work according to the indoor environment parameters;
the indoor environment temperature detected by the sensor module is T0; an indoor environment temperature threshold TS is arranged in the main control module; the main control module controls the air conditioning module and the fan module to work according to the indoor environment parameters: when TS is more than or equal to T0, the air conditioning module does not work; when TS < T0, the air conditioning module is started; when T0 is more than or equal to 18 and less than or equal to 23, the fan module works in a first gear; when T0 is more than or equal to 24 and less than or equal to 26, the fan module works in a second gear; when T0 is more than or equal to 27 and less than or equal to 28, the fan module works in third gear; when T0>28, the fan module operates in fourth gear;
or, the main control module controls the air conditioner module and the fan module to work according to the indoor environment parameters: when TS-T0 is more than or equal to a set threshold value, the air conditioning module does not work, and when TS-T0 is less than the set threshold value, the air conditioning module is started;
or, the main control module controls the air conditioner module and the fan module to work according to the indoor environment parameters: the main control module learns the habit and preference of a user according to the real-time data and the historical data of the temperature sensor module, and optimizes the operation of the fan module and the air conditioner module according to the learned mode and preference.
2. The intelligent cooling apparatus for combined control of a fan and an air conditioner according to claim 1, wherein: the main control module learns the habit and preference of the user according to the real-time data and the historical data of the temperature sensor module, and specifically comprises the following steps:
1) The sensor module collects indoor, outdoor and somatosensory temperature data and transmits the indoor, outdoor and somatosensory temperature data to the main control module, and the main control module updates the environmental temperature data in a set period;
2) Data analysis and modeling: the main control module uses outdoor, indoor and body temperature to analyze and model, uses machine learning algorithm and pattern recognition technology to analyze temperature data, and builds a model to recognize different temperature patterns and the use habit of a user;
3) The main control module records the frequency and waiting time of using the fan and the air conditioner at different temperatures;
4) An autonomous regulation strategy way, wherein the main control module formulates an autonomous regulation strategy according to the current outdoor temperature and the habit of a user according to the modeling and learning results; the strategy covers conditions for starting and stopping the fan module and the air conditioning module, as well as their modes of operation and gear;
5) Feedback mechanism: the main includes user feedback, which can be used to adjust the system's understanding of user needs and preferences, and effect assessment, which can be used to assess the performance of the system and further improve the learning mode based on the assessment results.
3. The intelligent cooling apparatus for combined control of a fan and an air conditioner according to claim 1, wherein: the sensor module further comprises a human body sensor, and when a person in the environment is detected, the main control module automatically adjusts the operation modes of the fan module and the air conditioner module; when no person is detected in the environment, the main control module controls the fan module and the air conditioning module to enter an energy-saving mode.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
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CN202311020606.7A CN117146381A (en) | 2023-08-14 | 2023-08-14 | Intelligent refrigerating device controlled by combination of fan and air conditioner |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
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CN202311020606.7A CN117146381A (en) | 2023-08-14 | 2023-08-14 | Intelligent refrigerating device controlled by combination of fan and air conditioner |
Publications (1)
Publication Number | Publication Date |
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CN117146381A true CN117146381A (en) | 2023-12-01 |
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CN202311020606.7A Pending CN117146381A (en) | 2023-08-14 | 2023-08-14 | Intelligent refrigerating device controlled by combination of fan and air conditioner |
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CN (1) | CN117146381A (en) |
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2023
- 2023-08-14 CN CN202311020606.7A patent/CN117146381A/en active Pending
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