CN106918113B - Intelligent household management method and system - Google Patents
Intelligent household management method and system Download PDFInfo
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- CN106918113B CN106918113B CN201710046820.8A CN201710046820A CN106918113B CN 106918113 B CN106918113 B CN 106918113B CN 201710046820 A CN201710046820 A CN 201710046820A CN 106918113 B CN106918113 B CN 106918113B
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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
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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
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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
- F24F2110/50—Air quality properties
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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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/50—Air quality properties
- F24F2110/64—Airborne particle content
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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
- F24F2110/50—Air quality properties
- F24F2110/65—Concentration of specific substances or contaminants
- F24F2110/70—Carbon dioxide
Abstract
The embodiment of the invention relates to an air purification treatment technology, in particular to a management method and a management system for an intelligent home, wherein in the management method for the intelligent home, the concentration of PM2.5, the concentration of dust pollutants, the concentration of formaldehyde pollutants, the concentration of microorganisms, the concentration of chemical gases and the concentration of carbon dioxide are judged at first, the concentration of the dust pollutants, the concentration of the formaldehyde pollutants, the concentration of microorganisms, the concentration of the chemical gases and the concentration of the carbon dioxide are compared with matched threshold values, a first type control signal or a second type control signal or a third type control signal is selected according to the comparison result, a proper purification mode is selected according to different environmental states, intelligent devices are enabled to work in a mutual cooperation mode, and the purification efficiency is improved.
Description
Technical Field
The embodiment of the invention relates to an air purification treatment technology, in particular to a management method and a management system for smart home.
Background
With the improvement of living standard, the requirements of people on living environment are higher and higher. Water pollution and air pollution have been gradually and widely noticed. In recent years, the concentration of inhalable particles (PM2.5) in the air is a main index for measuring the quality of the air.
The concentration of PM2.5 in outdoor air remains high for a relatively long time due to automobile exhaust, combustion, etc. In order to prevent excessive PM2.5 from being inhaled, people take various protective measures, such as wearing a mask when going out of a door, reducing the possibility of going out and closing doors and windows, and when the doors and windows are closed for a long time, window opening ventilation is generally performed in order to reduce the concentration of carbon dioxide in indoor air circulation. However, this windowing ventilation inevitably introduces PM2.5, resulting in a high PM2.5 content in the indoor air.
According to analysis, main substances (important substances) causing the PM2.5 in the air are harmful: micro-organisms, chemical gases or odors, physical state particles; the microorganisms comprise active harmful microorganisms floating in indoor air such as bacteria, viruses, molds and spores; the size range of the microorganisms is typically between 0.02 microns and 10 microns. Chemical gases/odors include interior trim materials, furniture, household chemicals, food spoilage, and volatile harmful gases and odors that can be harmful to health from human bodies and pets, such as: formaldehyde, benzene series, TVOC, etc.; the size range of chemical gases/odors is typically between 0.0001 microns to 0.001 microns; particulates in a physical state include very fine solid or liquid particles that can be suspended in air for extended periods of time. Is composed of dust, hair scraps (scurf), smoke dust, pollen and smoke particles; the physical state of the particles typically ranges in size from 0.01 microns to 100 microns.
With the improvement of the living standard, many families or public offices are provided with air purification systems, air conditioners, humidification/dehumidification devices, the prior art also discloses linkage control among air purification devices, air conditioners and other functional devices, but the technical scheme adopted by the linkage control in the prior art is that identification information on each functional device is read, the control authority of intelligent equipment matched with the identification information is obtained according to the identification information, each functional device is subjected to linkage control through a control device, in short, the linkage control in the prior art is only limited to centralizing the authorities of a plurality of household devices in the same control device, one or more household devices are simultaneously controlled through the control device, and in the control mode, each household device is still in an independent working state, an overall control effect cannot be achieved. The overall purification effect is relatively low.
Disclosure of Invention
The invention provides a management method and a management system for smart home, which aim to realize the mutual cooperation operation of smart devices and improve the air purification efficiency.
In one aspect, the invention provides a management method for smart home, comprising the following steps;
acquiring the state of air pollutants in the current environment, and forming detection data output matched with the state of air in the current environment;
judging whether the detection data are matched with a preset threshold range or not, and acquiring a detection value in an abnormal state under the condition that the detection data are not matched with the threshold range; and forming the control command output matched with the detection value according to the detection value in the abnormal state.
Preferably, the management method of smart home further includes,
and the intelligent equipment in the current environment receives the control command and executes corresponding operation under the action of the control command.
Preferably, in the management method of smart home, the detection data at least includes: PM2.5 concentration, wherein whether the detection data are matched with a preset threshold range or not is judged, and a detection value in an abnormal state is obtained under the condition that the detection data are not matched with the threshold range; forming the control command output matched with the detection value according to the detection value in the abnormal state, specifically comprising:
acquiring the PM2.5 concentration in the current environment;
judging whether the PM2.5 concentration is greater than a PM2.5 rated maximum value or not; forming a first type of control signal output under the condition that the concentration of PM2.5 is greater than the rated maximum value of PM 2.5;
in a state where the PM2.5 concentration is not greater than the PM2.5 nominal maximum; continuing to calculate a difference between each contaminant detection value and the contaminant threshold value for which the contaminant matches and forming a set of contaminant difference data sets;
querying a difference maximum value and a difference minimum value in the pollutant difference data set;
calculating to form a difference coefficient according to the maximum difference value and the minimum difference value;
forming a second type of control signal output in a state that the difference coefficient is not less than a first difference preset value;
and forming a third type of control signal output in a state that the difference coefficient is smaller than the first difference preset value.
Preferably, in the management method of smart home, the detection data at least further includes a concentration of dust pollutants, a concentration of formaldehyde pollutants, a concentration of microorganisms, a concentration of chemical gas, and a concentration of carbon dioxide; wherein, in the state that the PM2.5 concentration is not more than the PM2.5 rated maximum value; continuing to calculate the difference between each contaminant detection value and the contaminant threshold value that matches the contaminant, and forming a set of contaminant difference data sets specifically includes:
forming a dust pollutant difference value according to the concentration of the dust pollutant and a prefabricated dust pollutant concentration threshold value;
forming a formaldehyde pollutant difference value according to the concentration of the formaldehyde pollutant and a preset formaldehyde pollutant concentration threshold value;
forming a microbial contaminant difference value according to the concentration of the microbial contaminant and a pre-established microbial contaminant concentration threshold value;
forming a chemical gas difference value according to the concentration of the chemical gas and a prefabricated chemical gas concentration threshold value;
forming a carbon dioxide difference value according to the concentration of the carbon dioxide and a prefabricated carbon dioxide concentration threshold value;
forming the contaminant difference dataset from the dust contaminant difference, the formaldehyde contaminant difference, the microbial contaminant difference, the chemical gas difference, and the carbon dioxide difference.
Preferably, in the management method of the smart home, the smart device at least includes an air purification device, an air conditioner, and a humidifier.
On the other hand, the invention further provides a management system of the smart home, which comprises the following steps of;
the detection unit is used for acquiring the state of the air pollutants in the current environment and forming detection data output matched with the air state in the current environment;
the control unit is used for judging whether the detection data are matched with a preset threshold range or not, and acquiring a detection value in an abnormal state under the condition that the detection data are not matched with the threshold range; and forming the control command output matched with the detection value according to the detection value in the abnormal state.
Preferably, the management system of smart home further includes,
and the intelligent equipment is used for receiving the control command and executing corresponding operation under the action of the control command.
Preferably, in the management system for smart home, the detection data at least includes: PM2.5 concentration, wherein the control unit comprises:
the PM2.5 concentration acquisition unit is used for acquiring the PM2.5 concentration in the current environment;
the first judgment unit is used for judging whether the PM2.5 concentration is greater than the PM2.5 rated maximum value or not; forming a first type of control signal output under the condition that the concentration of PM2.5 is greater than the rated maximum value of PM 2.5;
a first calculation unit that calculates a concentration of PM2.5 in a state where the concentration of PM2.5 is not greater than the rated maximum PM 2.5; continuing to calculate a difference between each contaminant detection value and the contaminant threshold value for which the contaminant matches and forming a set of contaminant difference data sets;
the first query unit is used for querying the maximum difference value and the minimum difference value in the pollutant difference value data set;
the difference coefficient calculation unit is used for calculating and forming a difference coefficient according to the maximum difference value and the minimum difference value;
the first processing unit is used for forming a second type of control signal output in a state that the difference coefficient is not smaller than a first difference preset value; and forming a third type of control signal output in a state that the difference coefficient is smaller than the first difference preset value.
Preferably, in the management system of smart home, the detection data at least further includes a concentration of dust pollutants, a concentration of formaldehyde pollutants, a concentration of microorganisms, a concentration of chemical gas, and a concentration of carbon dioxide; wherein the first calculation unit includes:
a first calculator for forming a dust contaminant difference value according to the concentration of the dust contaminant and a pre-made dust contaminant concentration threshold;
a second calculator for forming a formaldehyde contaminant difference value according to the concentration of the formaldehyde contaminant and a preset formaldehyde contaminant concentration threshold value;
a third calculator for forming a microbial contaminant difference based on the concentration of the microbial contaminant and a pre-established microbial contaminant concentration threshold;
a fourth calculator for forming a chemical gas difference value according to the concentration of the chemical gas and a preset chemical gas concentration threshold value;
a fifth calculator for forming a carbon dioxide difference value according to the concentration of the carbon dioxide and a preset carbon dioxide concentration threshold value;
a processor that forms the contaminant difference dataset from the dust contaminant difference, the formaldehyde contaminant difference, the microbial contaminant difference, the chemical gas difference, and the carbon dioxide difference.
Preferably, in the management system of smart home, the smart device at least includes an air purification device, an air conditioner, and a humidifier.
Compared with the prior art, the invention has the beneficial effects that:
according to the technical scheme, the concentration of PM2.5, the concentration of dust pollutants, the concentration of formaldehyde pollutants, the concentration of microorganisms, the concentration of chemical gas and the concentration of carbon dioxide are judged, the concentration of PM2.5, the concentration of dust pollutants, the concentration of formaldehyde pollutants, the concentration of microorganisms, the concentration of chemical gas and the concentration of carbon dioxide are compared with matched threshold values, a first type control signal or a second type control signal or a third type control signal is selected according to a comparison result, a proper purification mode is selected according to different environmental states, intelligent devices are enabled to work in a mutual cooperation mode, and purification efficiency is improved.
Drawings
Fig. 1 is a schematic flow chart of a management method for smart home provided in an embodiment of the present invention;
fig. 2 is a schematic flow chart of a management method for smart home provided in an embodiment of the present invention;
fig. 3 is a schematic flow chart of a management method for smart home provided in an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a management system of an intelligent home provided in an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a management system of an intelligent home provided in an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a management system of a smart home provided in an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Based on the above, the invention provides a management method of an intelligent home, which aims to realize the overall control among intelligent devices, so that the intelligent devices are mutually matched, and the current air purification effect is improved.
As shown in fig. 1, in one aspect, the present invention provides a management method for smart home, including;
step S110, acquiring the state of the air pollutants in the current environment, and forming detection data output matched with the air state in the current environment;
step S120, judging whether the detection data are matched with a preset threshold range, and acquiring a detection value in an abnormal state under the condition that the detection data are not matched with the threshold range; forming the control command output matched with the detection value according to the detection value in the abnormal state; further, the detection data includes at least: PM2.5 concentrations, including specifically: as shown in figure 2 of the drawings, in which,
step S1201, acquiring the PM2.5 concentration in the current environment;
step S1202, judging whether the PM2.5 concentration is greater than a PM2.5 rated maximum value or not; forming a first type of control signal output under the condition that the concentration of PM2.5 is greater than the rated maximum value of PM 2.5; the first type of control signal is overall control, and when the concentration of the PM2.5 is greater than the maximum PM2.5 rating value, it can be determined that the pollution degree of the current environment is relatively high, so that the current environment needs to be comprehensively purified, that is, all intelligent devices in the current environment are integrally controlled. The rated maximum value of PM2.5 can be set by the user, and it should be noted that the rated maximum value of PM2.5 can be a pollution minimum value which is not acceptable by the user.
Step S1203, in a state that the concentration of PM2.5 is not greater than the rated maximum value of PM 2.5; continuing to calculate a difference between each contaminant detection value and the contaminant threshold value for which the contaminant matches and forming a set of contaminant difference data sets; and under the condition that the concentration of PM2.5 is not more than the rated maximum PM2.5 value, the current environment can be judged to be a pollution range which can be received by a user, and at the moment, the independent purification treatment or the integral purification treatment is performed in a targeted manner according to the detection value of the pollutants.
Step S1204, inquiring a maximum difference value and a minimum difference value in the pollutant difference value data set;
step S1205, calculating and forming a difference coefficient according to the maximum difference value and the minimum difference value; the calculation method of the difference coefficient comprises the following steps:
K=Qmin/Qmax;
wherein K is a difference coefficient;
qmin is the minimum value of the difference;
qmax is the maximum value of the difference.
Step S1206, forming a second type of control signal output in a state that the difference coefficient is not smaller than the first difference preset value; when the difference coefficient is not less than the first difference preset value, the first difference threshold value may be 0.7 to 1, that is, the minimum value of the difference is close to the maximum value of the difference, in this state, it may be determined that the occupancy ratios of each pollutant in the current air are similar, and in this state, the overall purification processing method is adopted. That is, the second type of control signal is still an overall control signal, which is valid for each smart device, but is different from the first type of control signal in that the operating state of the smart device is different. In short, the smart device operates at the maximum power under the action of the first type of control signal to achieve the purpose of rapid purification, and operates at the power smaller than the maximum power under the action of the second type of control signal to achieve the purpose of energy conservation.
Step S1207, forming a third type of control signal output in a state that the difference coefficient is smaller than the first difference predetermined value. When the difference coefficient is smaller than the first difference preset value, the situation that the occupied proportion difference of each pollutant in the current air is large can be judged, and in the situation, targeted purification treatment is adopted to mainly purify the pollutant matched with the maximum value of the difference value so as to quickly purify most pollutants in the current air and quickly improve the current air quality. That is, the third type of control signal may be a start signal of a certain intelligent device or a certain number of intelligent devices.
Step S130, the smart device in the current environment receives the control command, and executes a corresponding operation under the action of the control command. The intelligent equipment at least comprises an air purification device, an air conditioner and a humidifier. Technical solutions for receiving control commands by smart devices have been published in the prior art, and are not specifically described herein.
In the above technical solution, the concentration of PM2.5 and the concentrations of other pollutants are first determined, and a preferred air purification method is selected according to the concentration of PM2.5 and the concentrations of other pollutants.
As a further preferred embodiment, in the management method for smart home, the detection data at least further includes a concentration of dust pollutants, a concentration of formaldehyde pollutants, a concentration of microorganisms, a concentration of chemical gases, and a concentration of carbon dioxide; in step S1203, in a state where the PM2.5 concentration is not greater than the PM2.5 rated maximum value; continuing to calculate the difference between each contaminant detection value and the contaminant threshold value that matches the contaminant, and forming a set of contaminant difference data sets specifically includes: as shown in figure 3 of the drawings,
step S12031, forming a dust pollutant difference value according to the concentration of the dust pollutant and a prefabricated dust pollutant concentration threshold value; wherein, the dust can adopt electrostatic adsorption device to carry out purification treatment, and electrostatic adsorption device can be independent smart machine, also can integrate inside air purification equipment.
The calculation method of the dust pollutant difference value comprises the following steps:
Q1=Qpowder-QPowder threshold;
Q1: is the dust contaminant difference;
Qpowder: is the concentration of the dust contaminant;
Qpowder threshold: is the dust contaminant concentration threshold;
step S12032, forming a formaldehyde pollutant difference value according to the concentration of the formaldehyde pollutant and a preset formaldehyde pollutant concentration threshold value; wherein the content of the first and second substances,
the calculation method of the formaldehyde pollutant difference value comprises the following steps:
Q2=Qfirst of all-QNail threshold;
Q2: is the formaldehyde contaminant difference;
Qfirst of all: is the concentration of the formaldehyde contaminant;
Qnail threshold: is the formaldehyde contaminant concentration threshold;
step S12033, forming a microbial pollutant difference value according to the concentration of the microbial pollutant and a prefabricated microbial pollutant concentration threshold value; wherein the content of the first and second substances,
the calculation method of the microbial pollutant difference value comprises the following steps:
Q3=Qmicro-meter-QMicro-threshold;
Q3: is the microbial contaminant difference;
Qmicro-meter: is the concentration of the microbial contaminant;
Qmicro-threshold: is the microbial contaminant concentration threshold;
step S12034, forming a chemical gas difference value according to the concentration of the chemical gas and a prefabricated chemical gas concentration threshold value; wherein the content of the first and second substances,
the calculation method of the chemical gas difference value comprises the following steps:
Q4=Qtransforming-QChange threshold;
Q4: is the chemical gas difference;
Qtransforming: is the concentration of the chemical gas;
Qchange threshold: is the chemical gas concentration threshold;
step S12035, forming a carbon dioxide difference value according to the concentration of the carbon dioxide and a prefabricated carbon dioxide concentration threshold value; wherein the content of the first and second substances,
the calculation method of the carbon dioxide difference value comprises the following steps:
Q5=QII-QTwo threshold;
Q5: is the carbon dioxide difference;
QII: is the concentration of said carbon dioxide;
Qtwo threshold: is the carbon dioxide concentration threshold;
step S12036, forming the pollutant difference data set according to the dust pollutant difference, the formaldehyde pollutant difference, the microbial pollutant difference, the chemical gas difference, and the carbon dioxide difference, wherein:
the contaminant difference dataset is M ═ Q1、Q2、Q3、Q4、Q5}。
In the above embodiment, for example, if the concentration of carbon dioxide in the current environment is high, the third type of control signal outputs a start signal for driving the air conditioner to turn on, and the air conditioner transmits fresh air from the outside to the inside.
It should be added that the first type of control signal, the second type of control signal, and the third type of control signal may all include a plurality of control commands, but the first type of control signal and the second type of control signal may drive all the intelligent devices, the first type of control signal enables all the intelligent devices to operate at the maximum power, and the second type of control signal enables all the intelligent devices to operate at the normal power. The third type of control signal can only be part of the intelligent device, the third type of control signal selects the driven device according to the time detection data, the selection process is common knowledge of those skilled in the art, and the selection process is not limited specifically here.
In addition, all the steps in the present invention are only one operation in the circulation step, and in short, the intelligent air cleaning device can perform all the steps in a circulation manner at predetermined intervals. Meanwhile, because certain time is needed for air purification treatment, when the air result between the previous minute and the next minute in the purification process is not obvious, in the invention, the preset interval time of the intelligent air purification equipment is matched with the current air purification efficiency, for example, the current air purification speed is obtained in real time in the purification pretreatment stage, and the preset interval time is calculated according to the purification speed, and the preset interval time is not the core technical problem to be solved by the invention, so the technical scheme is not described in detail in the invention.
Example two
On the other hand, the invention further provides a management system of the smart home, which comprises the following steps of;
the detection unit is used for acquiring the state of the air pollutants in the current environment and forming detection data output matched with the air state in the current environment;
the control unit is used for judging whether the detection data are matched with a preset threshold range or not, and acquiring a detection value in an abnormal state under the condition that the detection data are not matched with the threshold range; and forming the control command output matched with the detection value according to the detection value in the abnormal state.
As a further preferred embodiment, the management system for smart homes described above further includes,
and the intelligent equipment is used for receiving the control command and executing corresponding operation under the action of the control command.
As a further preferred embodiment, in the management system for smart home, the detection data at least includes: PM2.5 concentration, wherein the control unit comprises: as shown in figure 5 of the drawings,
the PM2.5 concentration acquisition unit is used for acquiring the PM2.5 concentration in the current environment;
the first judgment unit is used for judging whether the PM2.5 concentration is greater than the PM2.5 rated maximum value or not; forming a first type of control signal output under the condition that the concentration of PM2.5 is greater than the rated maximum value of PM 2.5;
a first calculation unit that calculates a concentration of PM2.5 in a state where the concentration of PM2.5 is not greater than the rated maximum PM 2.5; continuing to calculate a difference between each contaminant detection value and the contaminant threshold value for which the contaminant matches and forming a set of contaminant difference data sets;
the first query unit is used for querying the maximum difference value and the minimum difference value in the pollutant difference value data set;
the difference coefficient calculation unit is used for calculating and forming a difference coefficient according to the maximum difference value and the minimum difference value;
the first processing unit is used for forming a second type of control signal output in a state that the difference coefficient is not smaller than a first difference preset value; and forming a third type of control signal output in a state that the difference coefficient is smaller than the first difference preset value.
As a further preferred embodiment, the management system for smart home as described above, wherein the detection data at least further includes a concentration of dust pollutant, a concentration of formaldehyde pollutant, a concentration of microorganism, a concentration of chemical gas, and a concentration of carbon dioxide; wherein the first calculation unit includes: as shown in figure 6 of the drawings,
a first calculator for forming a dust contaminant difference value according to the concentration of the dust contaminant and a pre-made dust contaminant concentration threshold;
a second calculator for forming a formaldehyde contaminant difference value according to the concentration of the formaldehyde contaminant and a preset formaldehyde contaminant concentration threshold value;
a third calculator for forming a microbial contaminant difference based on the concentration of the microbial contaminant and a pre-established microbial contaminant concentration threshold;
a fourth calculator for forming a chemical gas difference value according to the concentration of the chemical gas and a preset chemical gas concentration threshold value;
a fifth calculator for forming a carbon dioxide difference value according to the concentration of the carbon dioxide and a preset carbon dioxide concentration threshold value;
a processor that forms the contaminant difference dataset from the dust contaminant difference, the formaldehyde contaminant difference, the microbial contaminant difference, the chemical gas difference, and the carbon dioxide difference.
The management system of the smart home can realize all functions of the management method of the smart home, and can realize the beneficial effects of the management system of the smart home, which are not described in detail herein.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (8)
1. A management method of smart home is characterized by comprising the following steps of;
acquiring the state of air pollutants in the current environment, and forming detection data output matched with the state of air in the current environment;
judging whether the detection data are matched with a preset threshold range or not, and acquiring a detection value in an abnormal state under the condition that the detection data are not matched with the threshold range; forming a control command output matched with the detection value according to the detection value in the abnormal state, wherein the detection data at least comprises: PM2.5 concentration, wherein whether the detection data are matched with a preset threshold range or not is judged, and a detection value in an abnormal state is obtained under the condition that the detection data are not matched with the threshold range; forming the control command output matched with the detection value according to the detection value in the abnormal state, specifically comprising:
acquiring the PM2.5 concentration in the current environment;
judging whether the PM2.5 concentration is greater than a PM2.5 rated maximum value or not; forming a first type of control signal output under the condition that the concentration of PM2.5 is greater than the rated maximum value of PM 2.5;
in a state where the PM2.5 concentration is not greater than the PM2.5 nominal maximum; continuing to calculate a difference between each contaminant detection value and the contaminant threshold value for which the contaminant matches and forming a set of contaminant difference data sets;
querying a difference maximum value and a difference minimum value in the pollutant difference data set;
calculating to form a difference coefficient according to the maximum difference value and the minimum difference value;
forming a second type of control signal output in a state that the difference coefficient is not less than a first difference preset value;
and forming a third type of control signal output in a state that the difference coefficient is smaller than the first difference preset value.
2. The smart home management method according to claim 1, further comprising,
and the intelligent equipment in the current environment receives the control command and executes corresponding operation under the action of the control command.
3. The smart home management method according to claim 1, wherein the detection data at least further includes a concentration of dust pollutants, a concentration of formaldehyde pollutants, a concentration of microorganisms, a concentration of chemical gases, and a concentration of carbon dioxide; wherein, in the state that the PM2.5 concentration is not more than the PM2.5 rated maximum value; continuing to calculate the difference between each contaminant detection value and the contaminant threshold value that matches the contaminant, and forming a set of contaminant difference data sets specifically includes:
forming a dust pollutant difference value according to the concentration of the dust pollutant and a prefabricated dust pollutant concentration threshold value;
forming a formaldehyde pollutant difference value according to the concentration of the formaldehyde pollutant and a preset formaldehyde pollutant concentration threshold value;
forming a microbial contaminant difference value according to the concentration of the microbial contaminant and a pre-established microbial contaminant concentration threshold value;
forming a chemical gas difference value according to the concentration of the chemical gas and a prefabricated chemical gas concentration threshold value;
forming a carbon dioxide difference value according to the concentration of the carbon dioxide and a prefabricated carbon dioxide concentration threshold value;
forming the contaminant difference dataset from the dust contaminant difference, the formaldehyde contaminant difference, the microbial contaminant difference, the chemical gas difference, and the carbon dioxide difference.
4. The intelligent home management method according to claim 2, wherein the intelligent device at least comprises an air purification device, an air conditioner and a humidifier.
5. A management system of smart home is characterized by comprising;
the detection unit is used for acquiring the state of the air pollutants in the current environment and forming detection data output matched with the air state in the current environment;
the control unit is used for judging whether the detection data are matched with a preset threshold range or not, and acquiring a detection value in an abnormal state under the condition that the detection data are not matched with the threshold range; forming the control command output matched with the detection value according to the detection value in the abnormal state, wherein the detection data at least comprises: PM2.5 concentration, wherein the control unit comprises:
the PM2.5 concentration acquisition unit is used for acquiring the PM2.5 concentration in the current environment;
the first judgment unit is used for judging whether the PM2.5 concentration is greater than the PM2.5 rated maximum value or not; forming a first type of control signal output under the condition that the concentration of PM2.5 is greater than the rated maximum value of PM 2.5;
a first calculation unit that calculates a concentration of PM2.5 in a state where the concentration of PM2.5 is not greater than the rated maximum PM 2.5; continuing to calculate a difference between each contaminant detection value and the contaminant threshold value for which the contaminant matches and forming a set of contaminant difference data sets;
the first query unit is used for querying the maximum difference value and the minimum difference value in the pollutant difference value data set;
the difference coefficient calculation unit is used for calculating and forming a difference coefficient according to the maximum difference value and the minimum difference value;
the first processing unit is used for forming a second type of control signal output in a state that the difference coefficient is not smaller than a first difference preset value; and forming a third type of control signal output in a state that the difference coefficient is smaller than the first difference preset value.
6. The smart home management system according to claim 5, further comprising,
and the intelligent equipment is used for receiving the control command and executing corresponding operation under the action of the control command.
7. The smart home management system according to claim 6, wherein the detection data at least further includes a concentration of dust pollutants, a concentration of formaldehyde pollutants, a concentration of microorganisms, a concentration of chemical gases, a concentration of carbon dioxide; wherein the first calculation unit includes:
a first calculator for forming a dust contaminant difference value according to the concentration of the dust contaminant and a pre-made dust contaminant concentration threshold;
a second calculator for forming a formaldehyde contaminant difference value according to the concentration of the formaldehyde contaminant and a preset formaldehyde contaminant concentration threshold value;
a third calculator for forming a microbial contaminant difference based on the concentration of the microbial contaminant and a pre-established microbial contaminant concentration threshold;
a fourth calculator for forming a chemical gas difference value according to the concentration of the chemical gas and a preset chemical gas concentration threshold value;
a fifth calculator for forming a carbon dioxide difference value according to the concentration of the carbon dioxide and a preset carbon dioxide concentration threshold value;
a processor that forms the contaminant difference dataset from the dust contaminant difference, the formaldehyde contaminant difference, the microbial contaminant difference, the chemical gas difference, and the carbon dioxide difference.
8. The management system of intelligent home furnishing according to claim 5 wherein said intelligent equipment comprises at least air purification device, air conditioner, humidifier.
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CN109855242B (en) * | 2018-11-29 | 2020-11-03 | 青岛海尔空调器有限总公司 | Method and device for purification control in air purification system and computer storage medium |
CN111692711A (en) * | 2019-03-12 | 2020-09-22 | 青岛海尔智能技术研发有限公司 | Control method and control device for multiple air conditioning equipment |
CN113237174B (en) * | 2019-11-18 | 2022-08-09 | 上海三菱电机·上菱空调机电器有限公司 | Intelligent air conditioning system |
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