CN112628978A - Indoor environment control method based on indoor electric appliance - Google Patents
Indoor environment control method based on indoor electric appliance Download PDFInfo
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- CN112628978A CN112628978A CN202110146568.4A CN202110146568A CN112628978A CN 112628978 A CN112628978 A CN 112628978A CN 202110146568 A CN202110146568 A CN 202110146568A CN 112628978 A CN112628978 A CN 112628978A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
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- 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
- F24F11/0008—Control or safety arrangements for air-humidification
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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
- F24F2110/10—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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/20—Humidity
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Abstract
The invention discloses an indoor environment control method based on indoor electric appliances, which comprises the following steps: s1: collecting temperature data and humidity data of an indoor environment; s2: generating an indoor temperature adjustment strategy based on the temperature data; s3: generating an indoor moisture adjustment value based on a target temperature value and the humidity data; s4: and generating an indoor humidity adjusting strategy based on the indoor moisture adjusting value. According to the invention, the temperature data and the humidity data of the current indoor environment are collected, the target temperature value is determined based on the current indoor environment temperature, and the relative humidity value under the target temperature value is determined based on the current humidity data, so that a more accurate target humidity value is generated, and the accurate calculation of the optimal temperature and humidity of the indoor environment is realized. Meanwhile, an indoor moisture adjusting value is generated based on the target humidity value and the target temperature data, and the humidity of the indoor environment is accurately adjusted by calculating the adjusting rate of the humidity adjusting unit.
Description
Technical Field
The invention relates to the technical field of indoor environment control, in particular to an indoor environment control method based on indoor electric appliances.
Background
Along with the development of the internet of things and big data, the quality of life of people is improved, more and more air conditioners, humidifiers, dehumidifiers and other equipment are used in indoor environments, and the used equipment is more and more complex. When a humidifier and a dehumidifier are used for adjusting the environmental humidity, the environmental perception and scientific control are lacked, the adjusted air temperature and humidity are difficult to reach the optimal temperature and humidity, and the problem of poor user body feeling is caused.
In summary, the conventional indoor environment control method has the problem that the user feels poor due to the fact that the ambient temperature and humidity cannot be accurately adjusted.
Disclosure of Invention
In view of the above, the invention provides an indoor environment control method based on an indoor electrical appliance, which solves the problem of poor user feeling caused by the fact that the environment temperature and humidity cannot be accurately adjusted in the traditional indoor environment control method by improving a data processing method
In order to solve the above problems, the technical scheme of the invention is to adopt an indoor environment control method based on an indoor electric appliance, which comprises the following steps: s1: collecting temperature data and humidity data of an indoor environment; s2: generating an indoor temperature adjustment strategy based on the temperature data; s3: generating an indoor moisture adjustment value based on a target temperature value and the humidity data; s4: and generating an indoor humidity adjusting strategy based on the indoor moisture adjusting value.
Optionally, the S3 includes: s31: calculating a target indoor moisture content corresponding to the target temperature value based on the target temperature value and the indoor space volume; s32: calculating a current indoor moisture content based on the humidity data; s33: generating the indoor moisture adjustment value based on the target indoor moisture content and the current indoor moisture content.
Optionally, the S31 includes: s311: calculating a first indoor space saturated water content corresponding to the target temperature value based on the target temperature value and the indoor space volume; s312: generating the target indoor moisture content based on a target humidity value and the first indoor space saturated moisture content.
Optionally, the S32 includes: s321: calculating a second indoor space saturated water content corresponding to the current temperature based on the temperature data and the indoor space volume; s322: generating the current indoor moisture content based on the humidity data and the second indoor space saturated moisture content.
Optionally, the S1 includes: s11: collecting the temperature data and the humidity data of an indoor environment; s12: calculating whether the temperature data belongs to a temperature threshold interval or not and generating a target temperature value; s13: calculating a current season based on timestamp information contained in the humidity data and calling a first judgment interval or a second judgment interval, wherein the first judgment interval is called when the current season is summer and the second judgment interval is called when the current season is non-summer; s14: and calculating whether the humidity data belongs to a first judgment interval or whether the humidity data belongs to a second judgment interval, and generating a target humidity value.
Optionally, the S12 includes: under the condition that the temperature data belong to the temperature threshold interval, the target temperature value is the temperature data; the target temperature value is the maximum value in the temperature threshold interval under the condition that the temperature data is higher than the temperature threshold interval; and under the condition that the temperature data is lower than the temperature threshold interval, the target temperature value is the minimum value in the temperature threshold interval.
Optionally, the S14 includes: calculating a relative humidity value of the humidity data at the target temperature; when the current season is summer, the target humidity value is the relative humidity value under the condition that the relative humidity value belongs to a first judgment interval, the target humidity value is the maximum value in the first judgment interval under the condition that the relative humidity value is higher than the first judgment interval, and the target humidity value is the minimum value in the first judgment interval under the condition that the relative humidity value is lower than the first judgment interval; when the current season is non-summer, the target humidity value is the relative humidity value under the condition that the relative humidity value belongs to a second judgment interval, the target humidity value is the maximum value in the second judgment interval under the condition that the relative humidity value is higher than the second judgment interval, and the target humidity value is the minimum value in the second judgment interval under the condition that the relative humidity value is lower than the first judgment interval.
Optionally, the S2 includes: under the condition that the target temperature value is the temperature data, the data processing unit controls the temperature adjusting unit to keep a shutdown state; and under the condition that the target temperature value is the maximum value in the temperature threshold interval or the minimum value in the temperature threshold interval, the data processing unit controls the temperature adjusting unit to be started and continuously adjusts the temperature adjusting unit based on a PID control algorithm.
Optionally, the S4 includes: using the formula |. m |/(V)maxt）>1 calculating whether the indoor water content regulating value is greater than the humidity regulation value within the unit regulating timeThe maximum adjustment value of the node unit, wherein, m is the indoor water adjustment value, VmaxThe maximum adjusting speed of the humidity adjusting unit is t, and the unit adjusting time is t; if the indoor moisture adjusting value is larger than the maximum adjusting value of the humidity adjusting unit in the unit adjusting time, the data processing unit controls the adjusting rate V of the humidity adjusting unit to be the maximum adjusting rate of the humidity adjusting unit until the indoor moisture content is equal to the target indoor moisture content, and the data processing unit controls the humidity adjusting unit to stop working; if the indoor moisture adjusting value is smaller than the maximum adjusting value of the humidity adjusting unit in the unit adjusting time, the data processing unit controls the adjusting rate V of the humidity adjusting unit to be as follows: v = | m | (2V)max) And controlling the humidity adjusting unit to stop working by the data processing unit until the indoor moisture content is equal to the target indoor moisture content.
The primary improvement of the invention is that the indoor environment control method based on the indoor electric appliance is provided, by collecting the temperature data and the humidity data of the current indoor environment, firstly, the target temperature value is determined based on the current indoor environment temperature, and the relative humidity value under the target temperature value is determined based on the current humidity data, so that a more accurate target humidity value is generated, and the accurate calculation of the optimal temperature and humidity of the indoor environment is realized. Meanwhile, an indoor moisture adjusting value is generated based on the target humidity value and the target temperature data, and the humidity of the indoor environment is accurately adjusted by calculating the adjusting rate of the humidity adjusting unit.
Drawings
Fig. 1 is a simplified flowchart of an indoor environment control method based on an indoor electric appliance according to the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood by those skilled in the art, the present invention will be further described in detail with reference to the accompanying drawings and specific embodiments.
As shown in fig. 1, a method for controlling an indoor environment based on an indoor electric appliance includes:
s1: temperature data and humidity data of an indoor environment are collected.
Further, the S1 includes: s11: collecting the temperature data and the humidity data of an indoor environment; s12: calculating whether the temperature data belongs to a temperature threshold interval or not and generating a target temperature value; s13: calculating a current season based on timestamp information contained in the humidity data and calling a first judgment interval or a second judgment interval, wherein the first judgment interval is called when the current season is summer and the second judgment interval is called when the current season is non-summer; s14: and calculating whether the humidity data belongs to a first judgment interval or whether the humidity data belongs to a second judgment interval, and generating a target humidity value. The humidity data is a relative humidity value of the current indoor environment, and the target humidity value is a target relative humidity value of the indoor environment; the temperature threshold interval can be [20 ℃, 28 ℃), and can be set by a person skilled in the art according to the requirements of the use environment; the first judgment interval may be [40, 80], the second judgment interval may be [30, 60], and a person skilled in the art may set the judgment intervals according to the requirements of the use environment.
Further, the S12 includes: under the condition that the temperature data belong to the temperature threshold interval, the target temperature value is the temperature data; the target temperature value is the maximum value in the temperature threshold interval under the condition that the temperature data is higher than the temperature threshold interval; and under the condition that the temperature data is lower than the temperature threshold interval, the target temperature value is the minimum value in the temperature threshold interval. According to the invention, the target temperature value is determined by the method, so that the indoor temperature adjustment with lowest energy consumption and highest adjustment speed can be realized.
Further, the S14 includes: calculating a relative humidity value of the humidity data at the target temperature; when the current season is summer, the target humidity value is the relative humidity value under the condition that the relative humidity value belongs to a first judgment interval, the target humidity value is the maximum value in the first judgment interval under the condition that the relative humidity value is higher than the first judgment interval, and the target humidity value is the minimum value in the first judgment interval under the condition that the relative humidity value is lower than the first judgment interval; when the current season is non-summer, the target humidity value is the relative humidity value under the condition that the relative humidity value belongs to a second judgment interval, the target humidity value is the maximum value in the second judgment interval under the condition that the relative humidity value is higher than the second judgment interval, and the target humidity value is the minimum value in the second judgment interval under the condition that the relative humidity value is lower than the first judgment interval. The target humidity value is determined by the method, so that the problems of inaccurate indoor relative humidity adjustment, overlarge humidity adjustment span, extra useless energy consumption of the humidity adjustment unit and the like caused by indoor temperature change can be avoided.
S2: an indoor temperature adjustment strategy is generated based on the temperature data.
Further, the S2 includes: under the condition that the target temperature value is the temperature data, the data processing unit controls the temperature adjusting unit to keep a shutdown state; and under the condition that the target temperature value is the maximum value in the temperature threshold interval or the minimum value in the temperature threshold interval, the data processing unit controls the temperature adjusting unit to be started and continuously adjusts the temperature adjusting unit based on a PID control algorithm. Wherein, the data processing unit can be a controller adopting STM8/STM32 MCU or a microprocessor adopting ARM architecture, etc.; the associated algorithms for invocation by the data processing unit may be stored as software modules in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art; the temperature adjusting unit can be formed by devices with refrigerating and/or heating effects, such as a central air conditioner with refrigerating and heating functions, a floor heating device, an exhaust valve and the like.
Further, the data processing unit continuously adjusts the data based on a PID control algorithmThe method of the temperature adjusting unit may be: using formulas
Calculating an adjustment error, wherein etFor the adjustment error at the time t,
the temperature value is adjusted for the theory at time t,
the actual regulated temperature value at time t; using formulas
And calculating a proportional output value at time t, wherein,
is a proportional output value at time t,
is a proportionality coefficient, Ti is an integration time, and Td is the integration time; using parametric linearization formulae
Calculating an output value, wherein,
in order to output the value of the output,
is a proportional output value, and is,
in order to adjust the lower limit of the temperature,
in order to adjust the upper limit of the temperature,
in order to control the lower limit of the output,
is the upper limit of control output; and generating a final PID control output value by an input clipping calculation, wherein
<
When the final PID control output value is
In a
>
When, if
>
The final PID control output value is
If, if
<
The final PID control output value is
。
S3: an indoor moisture adjustment value is generated based on a target temperature value and the humidity data.
Further, the S3 includes: s31: calculating a target indoor moisture content corresponding to the target temperature value based on the target temperature value and the indoor space volume; s32: calculating a current indoor moisture content based on the humidity data; s33: generating the indoor moisture adjustment value based on the target indoor moisture content and the current indoor moisture content.
Further, the S31 includes: s311: calculating a first indoor space saturated water content corresponding to the target temperature value based on the target temperature value and the indoor space volume, specifically, calculating a saturated water content per unit volume at the temperature x and a function f (x) by using a formula f (x) = 10.87 x (0.4091 x) -2.900000000 x 10^ 10 (-10) x ^6+1.700000000 (-8) x ^5+5.200000000 10 (-7) x ^4+0.1222e-2 x ^3-0.97e-1 x-6.1, and calculating a first indoor space saturated water content m by using a formula m = f (T) x V, wherein T is the target temperature value and V is the indoor space volume; s312: generating the target indoor moisture content based on a target humidity value and the first indoor space saturated water content, specifically, calculating the target indoor moisture content M by using a formula M = mxw, where W is the target humidity value. The target indoor moisture content is generated by the method, so that the energy consumption is saved to the maximum extent when the indoor humidity of the system is adjusted.
Further, in S31, a first indoor saturated water content corresponding to the target temperature value may be calculated based on the temperature data capable of representing the current indoor temperature and the indoor space volume, so as to generate the target indoor water content. And the current indoor temperature is repeatedly detected within a preset time period, and the target indoor moisture content is updated, so that the user can be ensured to keep the best body feeling at any time in the temperature and humidity adjusting process to the maximum extent.
Further, the S32 includes: s321: calculating a second indoor space saturated water content corresponding to the current temperature based on the temperature data and the indoor space volume; s322: generating the current indoor moisture content based on the humidity data and the second indoor space saturated moisture content. The specific calculation formula is similar to the above, and therefore, redundant description is omitted.
S4: and generating an indoor humidity adjusting strategy based on the indoor moisture adjusting value.
Further, the S4 includes: using the formula |. m |/(V)maxt）>1 calculating whether the indoor water regulation value is greater than the maximum regulation value of the humidity regulation unit within a unit regulation time, wherein m is the indoor water regulation value, VmaxThe maximum adjusting speed of the humidity adjusting unit is t, and the unit adjusting time is t; if the indoor moisture adjusting value is larger than the maximum adjusting value of the humidity adjusting unit in the unit adjusting time, the data processing unit controls the adjusting rate V of the humidity adjusting unit to be the maximum adjusting rate of the humidity adjusting unit until the indoor moisture content is equal to the target indoor moisture content, and the data processing unit controls the humidity adjusting unit to stop working; if the indoor moisture adjusting value is smaller than the maximum adjusting value of the humidity adjusting unit in the unit adjusting time, the data processing unit controls the adjusting rate V of the humidity adjusting unit to be as follows: v = | m | (2V)max) And controlling the humidity adjusting unit to stop working by the data processing unit until the indoor moisture content is equal to the target indoor moisture content. The unit adjusting time can be preset in the system by a user according to the use requirement of the indoor environment. The humidity adjusting unit may be formed of a conventional humidifier, dehumidifier, or other device having a humidifying and/or dehumidifying function.
According to the invention, the temperature data and the humidity data of the current indoor environment are collected, the target temperature value is determined based on the current indoor environment temperature, and the relative humidity value under the target temperature value is determined based on the current humidity data, so that a more accurate target humidity value is generated, and the accurate calculation of the optimal temperature and humidity of the indoor environment is realized. Meanwhile, an indoor moisture adjusting value is generated based on the target humidity value and the target temperature data, and the humidity of the indoor environment is accurately adjusted by calculating the adjusting rate of the humidity adjusting unit.
The indoor environment control method based on the indoor electric appliance provided by the embodiment of the invention is described in detail above. The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
Claims (9)
1. An indoor environment control method based on indoor electric appliances is characterized by comprising the following steps:
s1: collecting temperature data and humidity data of an indoor environment;
s2: generating an indoor temperature adjustment strategy based on the temperature data;
s3: generating an indoor moisture adjustment value based on a target temperature value and the humidity data;
s4: and generating an indoor humidity adjusting strategy based on the indoor moisture adjusting value.
2. The indoor environment control method according to claim 1, wherein the S3 includes:
s31: calculating a target indoor moisture content corresponding to the target temperature value based on the target temperature value and the indoor space volume;
s32: calculating a current indoor moisture content based on the humidity data;
s33: generating the indoor moisture adjustment value based on the target indoor moisture content and the current indoor moisture content.
3. The indoor environment control method according to claim 2, wherein the S31 includes:
s311: calculating a first indoor space saturated water content corresponding to the target temperature value based on the target temperature value and the indoor space volume;
s312: generating the target indoor moisture content based on a target humidity value and the first indoor space saturated moisture content.
4. The indoor environment control method according to claim 3, wherein the S32 includes:
s321: calculating a second indoor space saturated water content corresponding to the current temperature based on the temperature data and the indoor space volume;
s322: generating the current indoor moisture content based on the humidity data and the second indoor space saturated moisture content.
5. The indoor environment control method according to claim 1, wherein the S1 includes:
s11: collecting the temperature data and the humidity data of an indoor environment;
s12: calculating whether the temperature data belongs to a temperature threshold interval or not and generating a target temperature value;
s13: calculating a current season based on timestamp information contained in the humidity data and calling a first judgment interval or a second judgment interval, wherein the first judgment interval is called when the current season is summer and the second judgment interval is called when the current season is non-summer;
s14: and calculating whether the humidity data belongs to a first judgment interval or whether the humidity data belongs to a second judgment interval, and generating a target humidity value.
6. The indoor environment control method according to claim 5, wherein the S12 includes:
under the condition that the temperature data belong to the temperature threshold interval, the target temperature value is the temperature data;
the target temperature value is the maximum value in the temperature threshold interval under the condition that the temperature data is higher than the temperature threshold interval;
and under the condition that the temperature data is lower than the temperature threshold interval, the target temperature value is the minimum value in the temperature threshold interval.
7. The indoor environment control method according to claim 6, wherein the S14 includes:
calculating a relative humidity value of the humidity data at the target temperature;
when the current season is summer, the target humidity value is the relative humidity value under the condition that the relative humidity value belongs to a first judgment interval, the target humidity value is the maximum value in the first judgment interval under the condition that the relative humidity value is higher than the first judgment interval, and the target humidity value is the minimum value in the first judgment interval under the condition that the relative humidity value is lower than the first judgment interval;
when the current season is non-summer, the target humidity value is the relative humidity value under the condition that the relative humidity value belongs to a second judgment interval, the target humidity value is the maximum value in the second judgment interval under the condition that the relative humidity value is higher than the second judgment interval, and the target humidity value is the minimum value in the second judgment interval under the condition that the relative humidity value is lower than the first judgment interval.
8. The indoor environment control method according to claim 7, wherein the S2 includes:
under the condition that the target temperature value is the temperature data, the data processing unit controls the temperature adjusting unit to keep a shutdown state;
and under the condition that the target temperature value is the maximum value in the temperature threshold interval or the minimum value in the temperature threshold interval, the data processing unit controls the temperature adjusting unit to be started and continuously adjusts the temperature adjusting unit based on a PID control algorithm.
9. The indoor environment control method according to claim 8, wherein the S4 includes:
using the formula |. m |/(V)maxt）>1 calculating whether the indoor water regulation value is greater than the maximum regulation value of the humidity regulation unit within a unit regulation time, wherein m is the indoor water regulation value, VmaxThe maximum adjusting speed of the humidity adjusting unit is t, and the unit adjusting time is t;
if the indoor moisture adjusting value is larger than the maximum adjusting value of the humidity adjusting unit in the unit adjusting time, the data processing unit controls the adjusting rate V of the humidity adjusting unit to be the maximum adjusting rate of the humidity adjusting unit until the indoor moisture content is equal to the target indoor moisture content, and the data processing unit controls the humidity adjusting unit to stop working;
if the indoor moisture regulation value is smaller than the maximum regulation value of the humidity regulation unit in the unit regulation time, data processing is carried outThe unit controls the adjusting speed V of the humidity adjusting unit to be as follows: v = | m | (2V)max) And controlling the humidity adjusting unit to stop working by the data processing unit until the indoor moisture content is equal to the target indoor moisture content.
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