CN113268098B - Indoor environment regulation and control method and system - Google Patents
Indoor environment regulation and control method and system Download PDFInfo
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- CN113268098B CN113268098B CN202110698800.5A CN202110698800A CN113268098B CN 113268098 B CN113268098 B CN 113268098B CN 202110698800 A CN202110698800 A CN 202110698800A CN 113268098 B CN113268098 B CN 113268098B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
An indoor environment regulation and control method comprises the steps of dividing indoor environment parameters into hot and wet environment parameters, light environment parameters and air quality parameters, and collecting satisfaction degree voting samples of the three types of environment parameters; and obtaining the regulation and control parameters of the environment regulation and control equipment according to the established satisfaction model. The establishment process of the satisfaction model comprises the steps of carrying out first satisfaction calculation on the obtained satisfaction voting samples; when unsatisfactory voting occurs, regulating and controlling the environment regulating and controlling equipment according to a preset control program; after the preset control program is finished, collecting satisfaction voting samples, carrying out second satisfaction calculation, changing control parameters of the environment regulation and control equipment for multiple times, and carrying out satisfaction calculation according to a preset satisfaction model; and obtaining the control parameter with the highest satisfaction degree, and finely adjusting the environment regulation and control equipment.
Description
Technical Field
The invention belongs to the technical field of green buildings, and particularly relates to an indoor environment regulation and control method and system.
Background
The judgment of the satisfaction degree of the personnel on the indoor environment mainly comes from four aspects: hot and humid environment, air quality, light environment, acoustic environment. The visual feeling of the personnel to the indoor environment can be obtained through data acquisition of the personnel satisfaction degree, the indoor environment satisfaction degree is analyzed, the general condition of the personnel satisfaction degree under the current environment can be judged through historical data, and a basis is provided for automatic regulation and control. With the continuous development of the smart home technology, people are no longer satisfied with frequently regulating and controlling indoor equipment or controlling equipment through quantitative setting. Therefore, automatic regulation and control of indoor environmental equipment based on personnel satisfaction acquisition and analysis is receiving increasing attention.
Disclosure of Invention
The invention provides a method for carrying out reverse regulation and control based on a satisfaction sample calculation result, which is used for overcoming the defects of the existing scheme.
In one embodiment of the present invention, a method for controlling an indoor environment comprises,
dividing indoor environment parameters into a hot and wet environment parameter, a light environment parameter and an air quality parameter, and collecting satisfaction voting samples of the three types of environment parameters;
and obtaining the regulation and control parameters of the environment regulation and control equipment according to the established satisfaction model.
Wherein the establishment process of the satisfaction model comprises,
performing first satisfaction calculation on the obtained satisfaction voting samples;
when unsatisfactory voting occurs, regulating and controlling the environment regulating and controlling equipment according to a preset control program;
after the preset control program is finished, collecting a satisfaction voting sample, carrying out second satisfaction calculation, changing control parameters of the environment regulation and control equipment for multiple times, and carrying out satisfaction calculation according to a preset satisfaction model;
and obtaining the control parameter with the highest satisfaction degree, and finely adjusting the environment regulation and control equipment.
Drawings
The above and other objects, features and advantages of exemplary embodiments of the present invention will become readily apparent from the following detailed description read in conjunction with the accompanying drawings. Several embodiments of the present invention are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which:
FIG. 1 is a flowchart of an environment intelligent regulation method based on satisfaction calculation according to one embodiment of the present invention.
Detailed Description
Traditional control schemes still follow the targeted control system. From the monitoring perspective, the accuracy requirement of index control on monitoring hardware is high, and if the environmental data collection is not accurate (in practice, the phenomenon is common), the control action is caused based on error information; from the perspective of the comfort degree of the personnel, the index control is not always in the environment interval of the real requirement of the personnel, at least the personnel need to continuously adjust the index to explore the suitable environment of the personnel, and when the environment parameters are increased or the space where the environment parameters are located is changed, confusion is caused; from the viewpoint of human health, the indoor space of a constant environment is not necessarily a healthy space, and the indoor environment should simulate a natural environment with a certain fluctuation.
According to one or more embodiments, an environment intelligent regulation and control method based on satisfaction degree calculation, as shown in fig. 1, mainly includes the following steps:
and S101, performing item satisfaction sample collection, wherein the item satisfaction sample collection comprises three types of samples such as a hot and humid environment, a light environment and an air quality sample.
In the hot humid environment satisfaction sample, the sample input parameters include: indoor temperature, indoor humidity, outdoor temperature, outdoor humidity, indoor CO2 concentration, windowing monitoring, intelligent (window) curtain aperture, new trend degree of opening, air conditioner set temperature, sample output parameter includes: hot, warm, cold.
In the light environment satisfaction sample, the sample input parameters include: outdoor temperature, (indoor, outdoor or adjacent window) illuminance, intelligent curtain aperture, the two colour temperatures of intelligent light, indoor CO2 concentration, sample output parameter includes: light, appropriate, dark.
In the air quality satisfaction sample, the sample input parameters include: indoor temperature, indoor humidity, indoor CO2 concentration, indoor PM2.5 concentration, outdoor PM2.5 concentration, windowing monitoring, new trend degree of opening, air conditioner set temperature, sample output parameter includes: the air quality is satisfactory and the air quality is unsatisfactory.
And S102, calculating a satisfaction sample, including calculating the sub-item satisfaction and the comprehensive satisfaction. And respectively calculating the satisfaction degrees of the three types of samples by adopting a supervised learning mode. The comprehensive satisfaction is weighted by the three types of branch satisfaction.
S103, when dissatisfaction voting occurs, a predetermined action is first performed, including the following operations (an extreme dissatisfaction voting mechanism may be set, and the following control strength is doubled).
When the cold condition occurs, the air conditioner is turned on to heat or the temperature of the air conditioner is adjusted to rise by 2 degrees;
when the heat condition occurs, the air conditioner is turned on for refrigeration or the temperature of the air conditioner is adjusted to be reduced by 2 degrees;
when the light condition occurs, the light is dimmed by 20 (the maximum power is 100), and the curtain shielding is increased by 20 (the maximum shielding is 100);
when the dark condition occurs, the lamplight is lightened by 20 (the maximum power is 100), and the curtain shielding is reduced by 20 (the maximum shielding is 100);
when the air quality is not satisfactory, the fresh air is turned on or increased by 4 gears (the maximum power is 10 gears).
And S104, after the specified regulation and control actions are executed, calculating the comprehensive satisfaction degree of the environment after 5 minutes, selecting a numerical value in a range near the adjustable parameters for exhaustion, and taking the numerical value as an input parameter group to be brought into a satisfaction degree model for calculation. For example:
at this time, the air conditioner is set to 25 ℃, the fresh air is in 6 grades (calculated by 10 grades of maximum power), the light brightness is 70 (calculated by 100 grades of maximum power), and the curtain shielding is 30 (calculated by 100 grades of maximum shielding). Selecting settable temperatures of about 25 degrees, namely 23, 24, 25, 26 and 27; gears near the fresh air 6, namely 4 gears, 6 gears and 8 gears; brightness near the lamp brightness, i.e., 50, 60, 70, 80, 90; the curtains shade areas near, i.e., 10, 20, 30, 40, 50. At this time, a total 375(═ 5 × 3 × 5 × 5) sets of input parameters are formed, and the input parameters are substituted into the existing model to be calculated, so that the input parameter set with the highest degree of satisfaction is obtained.
And S105, after the input parameter group with the highest satisfaction degree is obtained, micro-regulating and controlling the environmental equipment parameters to the input parameter group.
And S106, if the environmental equipment is not regulated again within 15 minutes after being finely adjusted, the sample at the moment is a satisfactory sample by default. Indoor internet of things equipment can be directly regulated and controlled by a mobile phone. And if the regulation is not carried out again within 15 minutes after the regulation by the mobile phone, the sample at the moment is a satisfied sample by default.
And S107, when the unsatisfactory samples are obtained again within 5 minutes after 2 times of continuous fine adjustment, recalculating the satisfaction model. And when the number of newly added satisfactory or unsatisfactory samples reaches 100, recalculating the satisfaction model.
The invention is obtained by calculating the satisfaction degree sample and through an exhaustive scheme. Compared with the traditional calculation method, the method is suitable for more intelligent environment control.
It should be noted that while the foregoing has described the spirit and principles of the invention with reference to several specific embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, nor is the division of aspects, which is for convenience only as the features in these aspects cannot be combined. The invention is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (2)
1. A method for regulating and controlling indoor environment is characterized by comprising the following steps,
dividing indoor environment parameters into a hot and wet environment parameter, a light environment parameter and an air quality parameter, and collecting satisfaction voting samples of the three types of environment parameters;
obtaining the regulation and control parameters of the environment regulation and control equipment according to the established satisfaction degree model, wherein the establishment process of the satisfaction degree model comprises the following steps,
performing first satisfaction calculation on the obtained satisfaction voting samples;
when unsatisfactory voting occurs, regulating and controlling the environment regulating and controlling equipment according to a preset control program;
after the preset control program is finished, collecting satisfaction voting samples, carrying out second satisfaction calculation, changing control parameters of the environment regulation and control equipment for multiple times, and carrying out satisfaction calculation according to a preset satisfaction model;
obtaining the control parameter with the highest satisfaction degree, finely adjusting the environment regulation and control equipment,
in the continuous detection of the indoor environment, after a plurality of unsatisfied voting samples are obtained again, the satisfaction degree model is readjusted,
the thermal-humid environment, the light environment and the air quality environmental parameter samples, wherein,
the input parameters of the sample in the hot and humid environment comprise: indoor temperature, indoor humidity, outdoor temperature, outdoor humidity, indoor CO2 concentration, windowing monitoring, intelligent (window) curtain aperture, new trend degree of opening, air conditioner set temperature, sample output parameter includes: hot, warm, cold;
the light environment sample input parameters comprise: outdoor temperature, indoor, outdoor or face window illuminance, intelligent curtain aperture, the two colour temperatures of intelligent light, indoor CO2 concentration, sample output parameter includes: light, proper, dark;
the air quality sample input parameters include: indoor temperature, indoor humidity, indoor CO2 concentration, indoor PM2.5 concentration, outdoor PM2.5 concentration, windowing monitoring, new trend degree of opening, air conditioner set temperature, sample output parameter includes: the air quality is satisfactory, and the air quality is unsatisfactory;
the satisfaction calculation comprises the calculation of the sub-item satisfaction and the comprehensive satisfaction, the satisfaction of the three types of samples is calculated respectively by adopting a supervised learning mode, the comprehensive satisfaction is the weighting of the three types of sub-item satisfaction,
when the dissatisfaction voting occurs, a specified action is firstly executed, and the method comprises the following operations:
when the cold condition occurs, the air conditioner is turned on to heat or the temperature of the air conditioner is adjusted to rise by 2 degrees;
when the heat condition occurs, the air conditioner is turned on for refrigeration or the temperature of the air conditioner is adjusted to be reduced by 2 degrees;
when the light condition appears, dimming the light by 20 taking the maximum power as 100, and increasing the curtain shielding by 20 taking the maximum shielding as 100;
when the dark condition occurs, the lamplight brightens 20 counted by the maximum power as 100, and the curtain shading is reduced by 20 counted by the maximum shading as 100;
when the air quality is not satisfactory, opening the fresh air or increasing 4 gears with the maximum power as 10 gears by the fresh air;
after the specified regulation and control action is executed, calculating the comprehensive satisfaction degree of the environment after a preset time, selecting a numerical value in a range near an adjustable parameter for exhaustion, and substituting the numerical value as an input parameter group into the satisfaction degree model for calculation;
after the input parameter group with the highest satisfaction degree is obtained, micro-regulating and controlling the environmental equipment parameters to the input parameter group;
and after the environmental equipment is subjected to fine adjustment, if the environmental equipment is not regulated again within the preset time, the sample subjected to fine adjustment is a satisfactory sample by default.
2. An indoor environment control system comprising a plurality of indoor environment parameter control devices, wherein the method of claim 1 is used to control an indoor environment.
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