CN116857805B - Intelligent fan and fire prevention valve monitoring system - Google Patents
Intelligent fan and fire prevention valve monitoring system Download PDFInfo
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- CN116857805B CN116857805B CN202311063365.4A CN202311063365A CN116857805B CN 116857805 B CN116857805 B CN 116857805B CN 202311063365 A CN202311063365 A CN 202311063365A CN 116857805 B CN116857805 B CN 116857805B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 34
- 230000002265 prevention Effects 0.000 title description 2
- 238000005457 optimization Methods 0.000 claims abstract description 34
- 238000004134 energy conservation Methods 0.000 claims description 5
- 238000000034 method Methods 0.000 claims description 4
- 239000012634 fragment Substances 0.000 claims description 3
- 230000000875 corresponding effect Effects 0.000 abstract description 33
- 230000001276 controlling effect Effects 0.000 abstract description 6
- 230000009286 beneficial effect Effects 0.000 description 13
- 238000001816 cooling Methods 0.000 description 4
- 238000013145 classification model Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000001105 regulatory effect Effects 0.000 description 2
- 230000002618 waking effect Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
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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
- F24F11/89—Arrangement or mounting of control or safety devices
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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
- F24F11/52—Indication arrangements, e.g. displays
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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
- F24F11/62—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
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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
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
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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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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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
- F24F2140/00—Control inputs relating to system states
- F24F2140/50—Load
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- 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)
- Human Computer Interaction (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention provides an intelligent fan and fire valve monitoring system, the intelligent fan includes: the temperature acquisition module is used for acquiring indoor temperature; the temperature control module is used for controlling the fan assembly to adjust the temperature according to the indoor temperature and the corresponding control instruction; the load regulation and control module is used for carrying out load regulation and control operation according to the system operation pressure of the fan assembly; the temperature control energy-saving optimization module is used for optimizing the temperature adjustment of the fan energy-saving mode according to the age of a user; the invention provides an intelligent fan and fire valve monitoring system, which is used for solving the problem that the ECO mode of the existing air conditioner fan can be ignored by users under most conditions and cannot achieve corresponding effects.
Description
Technical Field
The invention relates to the technical field of intelligent air conditioners, in particular to an intelligent fan and fire valve monitoring system.
Background
With the continuous change of climate, the continuous high temperature is difficult to be tolerated by people, in order to solve the problem, the prior art proposes the concept of an air conditioner and put into practical use for many years, and when the air conditioner is used, two fans are usually arranged, wherein an outdoor unit is responsible for refrigerating or heating, an indoor unit is responsible for conveying cold air or hot air into a room, and the indoor hot air or cold air is conveyed to the outside through a pipeline, so that the effect of indoor cooling or heating is achieved. However, due to continuous temperature control, the air conditioner consumes more energy than cooling equipment such as fans, and in the face of the situation, the ECO mode is usually set for the fans in the prior art, after the ECO mode is started, the air conditioner can operate in a relatively energy-saving state, but after the ECO mode is started, the indoor cooling effect is fixed, the cooling standards of users of different ages cannot be met, so that the ECO mode can be ignored by the users in most cases, and the corresponding effect cannot be achieved.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an intelligent fan and fire valve monitoring system which is used for solving the problems.
An intelligent fan, comprising: the temperature acquisition module is used for acquiring indoor temperature; the temperature control module is used for controlling the fan assembly to adjust the temperature according to the indoor temperature and the corresponding control instruction; the load regulation and control module is used for carrying out load regulation and control operation according to the system operation pressure of the fan assembly; and the temperature control energy-saving optimization module is used for optimizing the temperature adjustment of the fan energy-saving mode according to the age of the user.
As one embodiment of the present invention, the load regulation module performs operations comprising: acquiring the system operation pressure of the fan assembly, and if the system operation pressure exceeds the preset relief pressure, sending a load adjustment instruction to the temperature control module for load adjustment operation; the temperature control module receives the load adjustment instruction and then executes the following operations: and controlling the fan assembly to perform temperature adjustment according to the preset rated operating power, and simultaneously sending out an overload alarm.
As one embodiment of the present invention, the temperature control energy saving optimization module performs operations including: acquiring a plurality of user ages input in advance by a user, and inputting the user ages into a pre-trained suitable temperature prediction model to obtain a predicted user-humidity-temperature correspondence table; when a user age instruction and an energy-saving mode instruction input by a current user are received, the current indoor humidity is obtained, a proper temperature is determined based on the current indoor humidity, the user age instruction and a predicted user-humidity-temperature correspondence table, and a temperature control instruction is generated according to the proper temperature and sent to a temperature control module.
As an embodiment of the present invention, the temperature control energy saving optimization module further performs operations including: the method comprises the steps of obtaining season information and day time period information corresponding to a current time node, inputting the season information, the day time period information and proper temperature into an adjustment model based on a preset adjustment model, generating adjusted second proper temperature, generating a temperature control instruction according to the second proper temperature and sending the temperature control instruction to a temperature control module.
As an embodiment of the present invention, the temperature control energy saving optimization module further performs operations including: when an energy-saving mode instruction is received and a user age instruction input by a current user is not received, acquiring a voice segment and a corresponding segment time interval in a first preset time period in the current room every preset time; judging whether the interval length of the corresponding segment time interval is larger than a preset length threshold value, and if so, taking the corresponding voice segment as a first effective voice segment; extracting a first voiceprint of a first effective human voiceprint fragment, judging whether the first voiceprint contains a user effective voiceprint recorded in advance, and if so, extracting the user effective voiceprint in the first voiceprint; acquiring effective voiceprints of all different users in a first preset time period, and determining the age of the user input in advance by the corresponding user; the method comprises the steps of obtaining a plurality of proper temperatures corresponding to the ages of a plurality of users at present, inputting the proper temperatures into a pre-trained temperature optimization model, determining a third proper temperature, generating a temperature control instruction according to the third proper temperature, and sending the temperature control instruction to a temperature control module.
As an embodiment of the present invention, it includes: the temperature control energy saving optimization module also performs operations including: acquiring a main user identity and a plurality of user identities in a current room, which are input by a user in advance; wherein, the main user identity and the plurality of times of user identities respectively correspond to one user effective voiceprint; determining a first user identity of each user in the current room according to the effective voiceprint of the user; determining different position information updating frequencies of current indoor personnel according to the first user identity; based on different updating frequencies and different effective voiceprints of users, positioning the corresponding users by adopting a preset external sound source positioning device, and determining position information; and when the position information of any user is not in the preset positioning range, judging that the user leaves the current room, determining a fourth proper temperature according to the rest of the users in the room, generating a temperature control instruction and sending the temperature control instruction to the temperature control module.
As an embodiment of the present invention, an intelligent fan further includes: when the position information of any user is not in the preset positioning range, continuously judging whether the subsequent user is in the preset positioning range according to the updating frequency, if so, judging that no user leaves the current room currently, and generating a temperature control instruction according to a third proper temperature and sending the temperature control instruction to the temperature control module.
A fire valve monitoring system, comprising: the fire valve monitoring module is used for monitoring whether the temperature of the fire valve is greater than a first preset temperature or not and generating a monitoring result; the analysis module is used for analyzing the monitoring result, and sending a fireproof control instruction to the fan assembly and the fireproof valve when the temperature of the fireproof valve is higher than a first preset temperature; and the alarm module is used for sending out a fire alarm when sending out a fire control instruction.
As an embodiment of the present invention, a fire valve monitoring system further includes a terminal feedback module, wherein the terminal feedback module performs operations including: when the analysis module is determined to send out a fire control instruction, the temperature control energy-saving optimization module is used for acquiring the user information in the current room, generating a dangerous information list and sending alarm information and the dangerous information list to a preset terminal.
As an embodiment of the present invention, the fire valve monitoring module further performs operations comprising: and uploading a fire extinguishing signal to a preset fire extinguishing system when the monitored temperature of the fire valve is greater than a second preset temperature.
The beneficial effects of the invention are as follows:
the invention provides an intelligent fan and fire valve monitoring system which is used for solving the problem that the existing ECO mode can be ignored by users under most conditions and cannot achieve corresponding effects.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention may be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of an intelligent blower module in an intelligent blower and fire damper monitoring system according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating an implementation process of a temperature control energy-saving optimization module in an intelligent fan and fire valve monitoring system according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a fire damper monitoring system module in an intelligent fan and fire damper monitoring system according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Referring to fig. 1, an intelligent fan includes: a temperature acquisition module 1 for acquiring an indoor temperature; the temperature control module 2 is used for controlling the fan assembly to adjust the temperature according to the indoor temperature and the corresponding control instruction; the load regulation and control module 3 is used for carrying out load regulation and control operation according to the system operation pressure of the fan assembly; the temperature control energy-saving optimization module 4 is used for optimizing the temperature adjustment of the fan energy-saving mode according to the age of a user;
the working principle of the technical scheme is as follows: the intelligent fan comprises a temperature acquisition module, a temperature control module, a load regulation and control module and a temperature control energy-saving optimization module; the temperature acquisition module is connected with the temperature sensor and used for acquiring indoor temperature; the temperature control module controls the fan assembly to carry out temperature adjustment according to the indoor temperature and corresponding control instructions, wherein the corresponding control instructions comprise set temperature instructions, and when the indoor temperature is greater than the set temperature instructions, the fan assembly is controlled to carry out temperature adjustment; the load regulation and control module is used for carrying out load regulation and control operation according to the system operation pressure of the fan assembly, wherein the load regulation and control operation comprises that when the system operation pressure of the current fan assembly is overlarge and a dangerous alarm is triggered, the control instruction is interfered by the load regulation and control module, so that the fan assembly is enabled to resume stable operation; the temperature control energy-saving optimization module is used for optimizing the temperature adjustment of the fan energy-saving mode according to the age of a user;
the beneficial effects of the technical scheme are as follows: through the technical scheme, the ECO (Ecology Conservation Optimization) mode of the fan is optimized according to the age difference of the user, so that the ECO mode can meet the user demand, the use ratio of the user is increased, the energy-saving effect is further achieved, and the satisfaction rate of the user is improved.
In one embodiment, the load regulation module performs operations comprising: acquiring the system operation pressure of the fan assembly, and if the system operation pressure exceeds the preset relief pressure, sending a load adjustment instruction to the temperature control module for load adjustment operation; the temperature control module receives the load adjustment instruction and then executes the following operations: controlling the fan assembly to adjust the temperature according to the preset rated operating power, and simultaneously sending out an overload alarm;
the working principle of the technical scheme is as follows: the intelligent fan comprises a load regulation and control module, wherein when the system operation pressure of a fan assembly is monitored to trigger a dangerous alarm, the load regulation and control module sends a load regulation instruction to a temperature control module for intervening in a previous control instruction, so that the system operation pressure of the fan assembly is reduced, and meanwhile, an overload alarm is sent out;
the beneficial effects of the technical scheme are as follows: through the technical scheme, potential safety hazards caused by overload operation of the components are prevented, and meanwhile, compared with direct disconnection, the stability of operation is higher through preset rated operation power.
Referring to FIG. 2, in one embodiment, the temperature controlled energy saving optimization module performs operations comprising: s101, acquiring a plurality of user ages input in advance by a user, and inputting the user ages into a pre-trained suitable temperature prediction model to obtain a predicted user-humidity-temperature correspondence table; s102, when a user age instruction and an energy-saving mode instruction input by a current user are received, acquiring the current indoor humidity, and determining a proper temperature based on the current indoor humidity, the user age instruction and a predicted user-humidity-temperature correspondence table; s103, generating a temperature control instruction according to the proper temperature and sending the temperature control instruction to a temperature control module;
the working principle and beneficial effects of the technical scheme are as follows: the intelligent fan comprises a temperature control energy-saving optimization module, wherein the temperature control energy-saving optimization module needs to acquire a plurality of user ages input in advance by a user before the first operation, the user ages are usually the ages of resident personnel in a room, after the ages are input, a system can automatically adjust the recorded ages of the corresponding users according to the time change, then the user ages are input into a pre-trained proper temperature prediction model to obtain a predicted user-humidity-temperature correspondence table, the proper temperature prediction model preferably adopts a neural network prediction model to construct an initial model, the initial model is trained according to a plurality of training data acquired in advance, and finally a proper temperature prediction model meeting training conditions is determined; wherein, the training data comprise data such as optimum humidity, temperature and the like corresponding to a plurality of users; when receiving a user age instruction and an energy-saving mode instruction input by a current user, integrating the function part into a remote controller, and acquiring an instruction through the remote controller and transmitting the instruction into the intelligent fan; after the instruction is determined, the current indoor humidity is obtained, the proper temperature is determined based on the current indoor humidity, the user age instruction and the predicted user-humidity-temperature correspondence table, and a temperature control instruction is generated according to the proper temperature and is sent to the temperature control module;
the beneficial effects of the technical scheme are as follows: through the technical scheme, the temperature requirements are analyzed by adopting different ages, the temperature control is accurately controlled, and the use efficiency of the ECO mode is improved.
In one embodiment, the temperature control energy conservation optimization module further performs operations comprising: acquiring season information and day time period information corresponding to the current time node, inputting the season information, the day time period information and proper temperature into the regulation model based on a preset regulation model, generating a regulated second proper temperature, generating a temperature control instruction according to the second proper temperature, and sending the temperature control instruction to a temperature control module;
the working principle of the technical scheme is as follows: according to multiparty data, the proper temperature of a person in waking state and the proper temperature of the person in waking state have slight differences, and in the 20 th century, a learner indicates that if the external temperature is too high, the body surface cannot normally dissipate heat to lower the core temperature, and the body wants to enter ideal comfortable sleep, a part of physiological challenges can be faced; based on the information, the temperature control energy-saving optimization module acquires season information and daily time period information corresponding to the current time node, and the daily time period information is preferably distinguished according to daily work and information; inputting season information, day time period information and proper temperature into the regulation model according to a preset regulation model, and generating a regulated second proper temperature; wherein the adjustment model comprises a classification model and multiplication logic; the classification model preferably adopts a classification model in machine learning to construct an initial model, trains the initial model according to a plurality of pieces of adjustment data acquired in advance until the training condition is met, and outputs the adjustment multiplying power; wherein the plurality of adjustment data comprise adjustment multiplying power, season information and time-of-day period information corresponding to the adjustment multiplying power, and the multiplication logic preferably determines a second suitable temperature according to the adjustment multiplying power and the suitable temperature; generating a temperature control instruction according to the second proper temperature and sending the temperature control instruction to a temperature control module, so as to provide a more accurate proper temperature for a user;
the beneficial effects of the technical scheme are as follows: through the technical scheme, the second proper temperature is determined according to the comparison of the proper temperatures of the awake state and the sleep state of the user, so that the control of the optimal temperature of the user by the ECO mode is more accurate, and the use experience of the user is improved.
In one embodiment, the temperature control energy conservation optimization module further performs operations comprising: when an energy-saving mode instruction is received and a user age instruction input by a current user is not received, acquiring a voice segment and a corresponding segment time interval in a first preset time period in the current room every preset time; judging whether the interval length of the corresponding segment time interval is larger than a preset length threshold value, and if so, taking the corresponding voice segment as a first effective voice segment; extracting a first voiceprint of a first effective human voiceprint fragment, judging whether the first voiceprint contains a user effective voiceprint recorded in advance, and if so, extracting the user effective voiceprint in the first voiceprint; acquiring effective voiceprints of all different users in a first preset time period, and determining the age of the user input in advance by the corresponding user; acquiring a plurality of proper temperatures corresponding to the ages of a plurality of users at present, inputting the proper temperatures into a pre-trained temperature optimization model, determining a third proper temperature, generating a temperature control instruction according to the third proper temperature, and sending the temperature control instruction to a temperature control module;
the working principle of the technical scheme is as follows: the intelligent fan comprises a temperature control optimizing module, and when more than one person is indoor or a middle-aged and elderly user cannot use a user age instruction module, the temperature control optimizing module is further used for executing the following operations: when an energy-saving mode instruction is received and a user age instruction input by a current user is not received, acquiring a voice segment and a corresponding segment time interval in a first preset time period in the current room every preset time; judging whether the interval length of the corresponding segment time interval is larger than a preset length threshold value or not, and judging effective voice; if the voice segment is larger than the first effective voice segment, the corresponding voice segment is used as a first effective voice segment; extracting a first voiceprint of a first effective human voiceprint segment, judging whether the first voiceprint contains a user effective voiceprint recorded in advance, and if so, extracting the user effective voiceprint in the first voiceprint, wherein when a plurality of people speak at the same time, the extracted voiceprint is an ineffective voiceprint, namely the current voiceprint cannot be matched with the user effective voiceprint, so that the user effective voiceprint can be effectively identified, and meanwhile, multiple ineffective recording is avoided, the preset time is preferably 30 minutes, the time length of a first preset time period is preferably 60 seconds, and the analysis difficulty is prevented from being improved due to excessive voice recording; acquiring effective voiceprints of all different users in a first preset time period, and determining the age of the user input in advance by the corresponding user; acquiring a plurality of proper temperatures corresponding to the ages of a plurality of users at present, inputting the proper temperatures into a pre-trained temperature optimization model, determining a third proper temperature, generating a temperature control instruction according to the third proper temperature, and sending the temperature control instruction to a temperature control module;
the beneficial effects of the technical scheme are as follows: through the technical scheme, the intelligent degree of the fan is improved by adopting the voiceprint recognition mode in combination with the use of the temperature control optimization module, meanwhile, the use difficulty of users of different age groups on the intelligent fan is reduced, the control of the ECO mode on the most suitable temperature of the users is further accurate, and the use experience of the users is improved.
In one embodiment, the temperature control energy conservation optimization module further performs operations comprising: acquiring a main user identity and a plurality of user identities in a current room, which are input by a user in advance; wherein, the main user identity and the plurality of times of user identities respectively correspond to one user effective voiceprint; determining a first user identity of each user in the current room according to the effective voiceprint of the user; determining different position information updating frequencies of current indoor personnel according to the first user identity; based on different updating frequencies and different effective voiceprints of users, positioning the corresponding users by adopting a preset external sound source positioning device, and determining position information; when the position information of any user is not in the preset positioning range, judging that the user leaves the current room, determining a fourth proper temperature according to the rest of the users in the room, generating a temperature control instruction and sending the temperature control instruction to a temperature control module;
the working principle of the technical scheme is as follows: in the same room, except for bedroom owners, the waiting time of guests in the room can be changed according to different things, so that the information of users in the room is more accurate, meanwhile, the problem that monitoring equipment such as a camera is called to be suspected of acquiring user privacy is avoided, when an intelligent fan is installed in advance, an external sound source positioning device is arranged at the corresponding position around an air conditioner shell and is in physical connection with the intelligent fan, and after a temperature control energy-saving optimization module is started, the main user identity and a plurality of user identities in the current room are determined according to user information recorded in a remote controller in advance; wherein, the main user identity and the plurality of times of user identities respectively correspond to one user effective voiceprint; determining a first user identity of each user in the current room according to the effective voiceprint of the user; determining the update frequency of different position information of the current indoor personnel according to the first user identity, wherein the update frequency of the main user identity is preferably longer and preferably once in 2 hours; the update frequency of the secondary user identity is preferably short, preferably once every 30 minutes; then, based on different updating frequencies and different effective voiceprints of users, positioning the corresponding users by adopting a preset external sound source positioning device, determining position information, and positioning the non-recorded ineffective voiceprints; when the position information of any user is not in the preset positioning range, judging that the user leaves the current room, determining a fourth proper temperature according to the rest of the users in the room, generating a temperature control instruction and sending the temperature control instruction to a temperature control module; it is worth to say that different functional plates related in the temperature control energy-saving optimization module support manual opening or closing;
the beneficial effects of the technical scheme are as follows: through the technical scheme, the indoor user information is determined by combining the user voiceprint information and adopting the sound source positioning mode, so that the control of the optimal temperature of the user by the ECO mode is more accurate, and the user experience is improved.
In one embodiment, the temperature control energy conservation optimization module further performs operations comprising: when the position information of any user is not in the preset positioning range, continuously judging whether the subsequent user is in the preset positioning range according to the updating frequency, if so, judging that no user leaves the current room currently, and generating a temperature control instruction according to a third proper temperature and sending the temperature control instruction to a temperature control module;
the beneficial effects of the technical scheme are as follows: through the technical scheme, misjudgment is prevented, the reliability of the function is improved, and the use experience of a user is improved.
Referring to fig. 3, a fire valve monitoring system, disposed in the foregoing intelligent fan, for monitoring a fire valve, includes: the fire valve monitoring module 11 is configured to monitor whether the temperature of the fire valve is greater than a first preset temperature, and generate a monitoring result; the analysis module 12 is used for analyzing the monitoring result, and sending a fireproof control instruction to the fan assembly and the fireproof valve when the temperature of the fireproof valve is greater than a first preset temperature; an alarm module 13 for issuing a fire alarm while issuing a fire control command;
the first preset temperature is preferably 70 ℃;
the beneficial effects of the technical scheme are as follows: through the technical scheme, the intelligent fan is safely monitored, and the intelligent fan is prevented from diffusing fire after the temperature is increased due to internal overload or external reasons.
In one embodiment, a fire valve monitoring system further includes a terminal feedback module, wherein the terminal feedback module performs operations comprising: when the analysis module is determined to send out a fireproof control instruction, acquiring user information in a current room through the temperature control energy-saving optimization module, generating a dangerous information list, and sending alarm information and the dangerous information list to a preset terminal;
the beneficial effects of the technical scheme are as follows: user information helping a user to determine rooms at risk is convenient to notify or rescue in time.
In one embodiment, the fire valve monitoring module further performs operations comprising: when the monitored temperature of the fire valve is greater than a second preset temperature, uploading a fire extinguishing signal to a preset fire extinguishing system;
the second preset temperature is preferably 280 degrees celsius;
the beneficial effects of the technical scheme are as follows: through the technical scheme, the fire control system is linked with a fire control system, and is beneficial to timely controlling fire.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (7)
1. An intelligent fan, characterized by comprising: the temperature acquisition module is used for acquiring indoor temperature; the temperature control module is used for controlling the fan assembly to adjust the temperature according to the indoor temperature and the corresponding control instruction; the load regulation and control module is used for carrying out load regulation and control operation according to the system operation pressure of the fan assembly; the temperature control energy-saving optimization module is used for optimizing the temperature adjustment of the fan energy-saving mode according to the age of a user;
the temperature control energy-saving optimization module performs the following operations: acquiring a plurality of user ages input in advance by a user, and inputting the user ages into a pre-trained suitable temperature prediction model to obtain a predicted user-humidity-temperature correspondence table; when a user age instruction and an energy-saving mode instruction input by a current user are received, acquiring the current indoor humidity, determining a proper temperature based on the current indoor humidity, the user age instruction and a predicted user-humidity-temperature correspondence table, generating a temperature control instruction according to the proper temperature, and sending the temperature control instruction to a temperature control module;
the temperature control energy saving optimization module also performs operations including: when an energy-saving mode instruction is received and a user age instruction input by a current user is not received, acquiring a voice segment and a corresponding segment time interval in a first preset time period in the current room every preset time; judging whether the interval length of the corresponding segment time interval is larger than a preset length threshold value, and if so, taking the corresponding voice segment as a first effective voice segment; extracting a first voiceprint of a first effective human voiceprint fragment, judging whether the first voiceprint contains a user effective voiceprint recorded in advance, and if so, extracting the user effective voiceprint in the first voiceprint; acquiring effective voiceprints of all different users in a first preset time period, and determining the age of the user input in advance by the corresponding user; acquiring a plurality of proper temperatures corresponding to the ages of a plurality of users at present, inputting the proper temperatures into a pre-trained temperature optimization model, determining a third proper temperature, generating a temperature control instruction according to the third proper temperature, and sending the temperature control instruction to a temperature control module;
the temperature control energy saving optimization module also performs operations including: acquiring a main user identity and a plurality of user identities in a current room, which are input by a user in advance; wherein, the main user identity and the plurality of times of user identities respectively correspond to one user effective voiceprint; determining a first user identity of each user in the current room according to the effective voiceprint of the user; determining different position information updating frequencies of current indoor personnel according to the first user identity; based on different updating frequencies and different effective voiceprints of users, positioning the corresponding users by adopting a preset external sound source positioning device, and determining position information; and when the position information of any user is not in the preset positioning range, judging that the user leaves the current room, determining a fourth proper temperature according to the rest of the users in the room, generating a temperature control instruction and sending the temperature control instruction to the temperature control module.
2. The intelligent fan of claim 1, wherein the load regulation module performs operations comprising: acquiring the system operation pressure of the fan assembly, and if the system operation pressure exceeds the preset relief pressure, sending a load adjustment instruction to the temperature control module for load adjustment operation; the temperature control module receives the load adjustment instruction and then executes the following operations: and controlling the fan assembly to perform temperature adjustment according to the preset rated operating power, and simultaneously sending out an overload alarm.
3. The intelligent fan of claim 1, wherein the temperature controlled energy conservation optimization module further performs operations comprising: the method comprises the steps of obtaining season information and day time period information corresponding to a current time node, inputting the season information, the day time period information and proper temperature into an adjustment model based on a preset adjustment model, generating adjusted second proper temperature, generating a temperature control instruction according to the second proper temperature and sending the temperature control instruction to a temperature control module.
4. The intelligent fan of claim 1, further comprising: when the position information of any user is not in the preset positioning range, continuously judging whether the subsequent user is in the preset positioning range according to the updating frequency, if so, judging that no user leaves the current room currently, and generating a temperature control instruction according to a third proper temperature and sending the temperature control instruction to the temperature control module.
5. A fire damper monitoring system for use in an intelligent blower of any one of claims 1-4, comprising: the fire valve monitoring module is used for monitoring whether the temperature of the fire valve is greater than a first preset temperature or not and generating a monitoring result; the analysis module is used for analyzing the monitoring result, and sending a fireproof control instruction to the fan assembly and the fireproof valve when the temperature of the fireproof valve is higher than a first preset temperature; and the alarm module is used for sending out a fire alarm when sending out a fire control instruction.
6. The fire valve monitoring system of claim 5, further comprising a terminal feedback module, wherein the terminal feedback module performs operations comprising: when the analysis module is determined to send out a fire control instruction, the temperature control energy-saving optimization module is used for acquiring the user information in the current room, generating a dangerous information list and sending alarm information and the dangerous information list to a preset terminal.
7. The fire valve monitoring system of claim 5, wherein the fire valve monitoring module further performs operations comprising: and uploading a fire extinguishing signal to a preset fire extinguishing system when the monitored temperature of the fire valve is greater than a second preset temperature.
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Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1959309A (en) * | 2006-11-17 | 2007-05-09 | 广东科龙电器股份有限公司 | Self-adapting type air conditioner capable of early-warning for high pressure, and control method |
| CN102865644A (en) * | 2012-10-22 | 2013-01-09 | 四川虹微技术有限公司 | Method for automatically adjusting work mode of air conditioner |
| CN106288164A (en) * | 2016-08-09 | 2017-01-04 | 广东美的制冷设备有限公司 | One key start-up control method, control system and the Intelligent worn device of air-conditioner |
| CN106500242A (en) * | 2016-10-11 | 2017-03-15 | 青岛海尔空调器有限总公司 | A kind of operation of air conditioner control method |
| CN106537052A (en) * | 2016-01-15 | 2017-03-22 | 吴鹏 | Intelligent adjustment air conditioning system |
| CN206221785U (en) * | 2016-11-25 | 2017-06-06 | 天津市海达门业股份有限公司 | A kind of high leakproofness fire resisting damper |
| CN111108982A (en) * | 2019-12-09 | 2020-05-08 | 珠海格力电器股份有限公司 | Air conditioning system for regulating plant growth environment and control method thereof |
| CN112767939A (en) * | 2021-02-01 | 2021-05-07 | 邵阳学院 | Intelligent device awakening method and device, computer device and storage medium |
| CN112856734A (en) * | 2021-02-01 | 2021-05-28 | 青岛海尔空调器有限总公司 | Control method of intelligent air conditioner and intelligent air conditioner |
| CN214038849U (en) * | 2020-11-12 | 2021-08-24 | 深圳市欧瑞博科技股份有限公司 | Temperature adjusting device and intelligent temperature control system |
| CN114999472A (en) * | 2022-04-27 | 2022-09-02 | 青岛海尔空调器有限总公司 | Air conditioner control method and device and air conditioner |
| CN115654648A (en) * | 2022-11-14 | 2023-01-31 | 吉林大学 | Air conditioner temperature and humidity adjusting system and method |
| CN116105307A (en) * | 2021-11-09 | 2023-05-12 | 青岛海尔科技有限公司 | Air conditioner control method, device, electronic equipment and storage medium |
-
2023
- 2023-08-23 CN CN202311063365.4A patent/CN116857805B/en active Active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1959309A (en) * | 2006-11-17 | 2007-05-09 | 广东科龙电器股份有限公司 | Self-adapting type air conditioner capable of early-warning for high pressure, and control method |
| CN102865644A (en) * | 2012-10-22 | 2013-01-09 | 四川虹微技术有限公司 | Method for automatically adjusting work mode of air conditioner |
| CN106537052A (en) * | 2016-01-15 | 2017-03-22 | 吴鹏 | Intelligent adjustment air conditioning system |
| CN106288164A (en) * | 2016-08-09 | 2017-01-04 | 广东美的制冷设备有限公司 | One key start-up control method, control system and the Intelligent worn device of air-conditioner |
| CN106500242A (en) * | 2016-10-11 | 2017-03-15 | 青岛海尔空调器有限总公司 | A kind of operation of air conditioner control method |
| CN206221785U (en) * | 2016-11-25 | 2017-06-06 | 天津市海达门业股份有限公司 | A kind of high leakproofness fire resisting damper |
| CN111108982A (en) * | 2019-12-09 | 2020-05-08 | 珠海格力电器股份有限公司 | Air conditioning system for regulating plant growth environment and control method thereof |
| CN214038849U (en) * | 2020-11-12 | 2021-08-24 | 深圳市欧瑞博科技股份有限公司 | Temperature adjusting device and intelligent temperature control system |
| CN112767939A (en) * | 2021-02-01 | 2021-05-07 | 邵阳学院 | Intelligent device awakening method and device, computer device and storage medium |
| CN112856734A (en) * | 2021-02-01 | 2021-05-28 | 青岛海尔空调器有限总公司 | Control method of intelligent air conditioner and intelligent air conditioner |
| CN116105307A (en) * | 2021-11-09 | 2023-05-12 | 青岛海尔科技有限公司 | Air conditioner control method, device, electronic equipment and storage medium |
| CN114999472A (en) * | 2022-04-27 | 2022-09-02 | 青岛海尔空调器有限总公司 | Air conditioner control method and device and air conditioner |
| CN115654648A (en) * | 2022-11-14 | 2023-01-31 | 吉林大学 | Air conditioner temperature and humidity adjusting system and method |
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