CN108520313A - A kind of draft type computing platform computational methods - Google Patents
A kind of draft type computing platform computational methods Download PDFInfo
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- CN108520313A CN108520313A CN201810217163.3A CN201810217163A CN108520313A CN 108520313 A CN108520313 A CN 108520313A CN 201810217163 A CN201810217163 A CN 201810217163A CN 108520313 A CN108520313 A CN 108520313A
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- G—PHYSICS
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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
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
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Abstract
The invention discloses a kind of draft type computing platform computational methods, including：First establish draft type platform computation model；Secondly, under same indoor pollutant concentration level, predicted value is transferred in microprocessor by various draft types with the intervals 1min and is compared analysis；Again, various draft types are calculated, indoor pollutant concentration is reduced to the time that minimum safe level needs, the removal ability index as various draft types；Then, microprocessor arranges the above-mentioned removal ability index as various draft types from small to large, and is shown in man-machine interaction panel；Finally, using the corresponding draft type of index minimum value as optimal selection, the draft type of house is determined with this；Microprocessor controls Switch for door and window control module/new wind turbine switch module by ZigBee communication agreement according to the draft type of selection.The invention avoids blindnesses to bring unnecessary energy consumption using new wind turbine, has preferable energy conservation and environmental protection benefit.
Description
Technical field
The present invention relates to Comment about Indoor Air Quality and feedback control art, are calculated more particularly to a kind of draft type flat
Platform computational methods.
Background technology
Due to a large amount of pollutants generated during personnel activity's (such as smoke, cook), Modern Residence has been seriously affected
Air quality in building.In order to which pollutant concentration is horizontal in control room, purification must be aerated to building, it is main at present
Draft type includes gravity-flow ventilation, force ventilation and Air Infiltration, wherein force ventilation and the shape that be divulged information based on new wind turbine
Formula.New wind turbine carries out outdoor air by purification filtering technology to be sent to interior after effectively purifying, and reaches dilution indoor pollution
The purpose of object.Although new wind turbine has apparent effect, higher power consumption and fortune to the improvement of indoor air quality
The noise problem generated in row makes utilization rate of the new wind turbine in practical home dwelling generally relatively low.Correspondingly, naturally logical
Wind and infiltration ventilation are increasingly favored by residential customer with its preferable applicability and energy saving advantage.However due to
Various ventilation cleaning modes cannot effectively assess indoor pollutant removal ability so that resident is in real life
There is larger doubt to the selection of draft type.
Therefore, by being detected in real time to indoor air quality, to three kinds of draft type contaminant removal capacities into
Capable timely comparative evaluation selects optimal draft type to be of great significance for resident.
Invention content
It is an object of the invention to overcome above-mentioned deficiency in the prior art, the present invention to propose a kind of draft type calculating
Platform computational methods.
The present invention is the technical issues of solution in the prior art, and the technical solution of proposition is as follows：A kind of draft type calculating
Platform computational methods are established and select system in a kind of intelligent domestic draft type, and this method comprises the following steps：
1) draft type platform computation model is established：
(1) general pollutant concentration variation prediction model is established；
(2) natural ventilation system concentration variation prediction model is established；
(3) force ventilation mode concentration variation prediction model is established；
(4) infiltration draft type concentration variation prediction model is established；
2) under same indoor pollutant concentration level, according to different draft type pollutant concentration variation prediction models pair
Predicted value is transferred in microprocessor with the intervals 1min and is compared analysis by various draft types；
3) pollutant is removed to each draft type according to the minimum safe level that resident family is arranged in man-machine interaction panel
Ability is calculated, and calculates various draft types and indoor pollutant concentration is reduced to the time that minimum safe level needs,
In this, as the removal ability index of various draft types；
4) microprocessor arranges the above-mentioned removal ability index as various draft types from small to large, and in people
It is shown in machine interactive panel；
5) using the corresponding draft type of index minimum value as optimal selection, the draft type of house is determined with this；Micro- place
It manages device and Switch for door and window control module/new wind turbine switch module is controlled according to the draft type of selection by ZigBee communication agreement.
This method further includes：Model verification step, it is specific as follows：
1) initial value of various draft type removal abilities is set；
2) Switch for door and window control module/new wind turbine switch control module is controlled by man-machine interaction panel；
3) gravity-flow ventilation/force ventilation/infiltration ventilation pollutant concentration prediction model proving program is carried out；
4) indoor accelerated test concentration level is detected and is recorded by being placed on indoor PM2.5 sensors, set when reaching
Stop proving program when value；
5) value for the indoor accelerated test concentration for being detected PM2.5 sensors using Gaussian weighting marks method is calculated with model
Concentration variation is compared, and iteration is obtained for the house using optimum air mixed characteristic coefficient when gravity-flow ventilation.
A kind of above-mentioned intelligent domestic draft type selects system, including is installed on outdoor air velocity transducer, wind direction sensing
Device, temperature sensor, PM2.5 sensors and wireless transport module, and it is installed on indoor temperature sensor, PM2.5 sensings
Device and wireless transport module, terminal, microprocessor, man-machine interaction panel, Switch for door and window control module and new fan switch control
Molding block；
Model dwelling database and draft type computing platform are provided in the terminal：
The model dwelling database purchase building plane layout, direction and the corresponding dimension information of exterior window；
The draft type computing platform stores various draft types to contaminant removal capacity computation model；
Outdoor air velocity transducer, wind transducer, temperature sensor, the PM2.5 sensors of being installed on passes through outdoor
Wireless transport module transmit corresponding data to draft type computing platform；
It is described be installed on indoor temperature sensor, PM2.5 sensors transmitted by indoor wireless transport module it is corresponding
Data to draft type computing platform；
The draft type computing platform is led to by the data for calling room, inside and outside wireless transport module to collect to various
Wind mode detergent power carries out analysis calculating, and will be calculated various draft types contaminant removal capacity data are transmitted to it is micro-
Processor；
The microprocessor is by various draft types to contaminant removal capacity data according to judgment criteria set by user
It is compared analysis, selects best draft type, and instruction control Switch for door and window is sent out by man-machine interaction panel and controls mould
Block and new wind turbine switch control module；
The Switch for door and window control module executes draft type, controls the keying of dwelling external window；
The new wind turbine switch control module executes draft type, controls the keying of new wind turbine.
The air velocity transducer uses commercially available FWS200 wind speed wind direction sensors with the wind transducer.
The wireless transport module selects GSM4G modules, is communicated using 4G real-time performance data.
The microprocessor is using the Berthel microprocessors under elektron.
The PM2.5 sensors for the model OPC-N2 that the PM2.5 sensors are produced using Britain Alpha.
The man-machine interaction panel uses the TT-13045 touch screen panels of TORTAI brands company production.
The Switch for door and window control module uses the light-duty door and window switch control modules of DL-80 of odenx brands.
The new wind turbine switch control module uses the intelligent switch module of GV-RK01-220ML models.
Resident family controls Switch for door and window and new fan switch by the self-defined transmission operational order of man-machine interaction panel.
Compared with prior art, the beneficial effects of the present invention are：
The present invention has monitored the air quality of indoor and outdoor simultaneously, understands indoor and outdoor air state in real time for user and provides effectively
Support.
The present invention provides draft type suggestion by being compared analysis to different draft types, with the model calculation,
It avoids and blindly brings unnecessary energy consumption using new wind turbine, there is preferable energy conservation and environmental protection benefit, it is also logical in selection for resident family
Direct selection gist is provided when wind mode.
Description of the drawings
Fig. 1 is present system functional block diagram；
Fig. 2 is apparatus of the present invention arrangement schematic diagram；
Fig. 3 is different draft type contaminant removal capacity prediction models：
(a) gravity-flow ventilation；(b) force ventilation；(c) infiltration ventilation；
Fig. 4 is iterative process.
Reference numeral：
1- buildings, 11- wind transducers, 12- air velocity transducers, 13- temperature sensors, 14-PM2.5 sensors, 15-
Wireless transport module；
The parlors 2-, 21- wireless transport modules, 22- temperature sensors, 23-PM2.5 sensors；
3- terminals, 31- model dwelling databases, 32- draft type computing platforms；
4- microprocessors；
5- man-machine interaction panels；
6- Switch for door and window control modules；
The new wind turbine switch control modules of 7-.
Specific implementation mode
Technical solution of the present invention is described in further detail in the following with reference to the drawings and specific embodiments, it is described specific
Embodiment is only explained the present invention, is not intended to limit the invention.
Fig. 1 is present system functional block diagram, and arrangement schematic diagram is as shown in Fig. 2, the present invention is established in a kind of intelligent domestic
In draft type selection system, include mounted on outdoor wind transducer 11, air velocity transducer 12, temperature sensor 13,
PM2.5 sensors 14 and wireless transport module 15, and it is mounted on indoor temperature sensor 22, PM2.5 sensors 23 and nothing
Line transmission module 21, terminal 3, microprocessor 4, man-machine interaction panel 5, Switch for door and window control module 6 and new fan switch control
Molding block 7 is provided with model dwelling database 31 and draft type computing platform 32 in the terminal 3.It is described to be installed on outdoor
Wind transducer 11, air velocity transducer 12, temperature sensor 13 and PM2.5 sensors 14 by wireless transport module 15 by room
Outer data transmission is to draft type computing platform 32；It is described to be installed on indoor temperature transmitter 22 and PM2.5 sensors 23 pass through
House data is transferred to draft type computing platform 32 by wireless transport module 21；The model dwelling database 31 is by using this
System user is provided according to practical residence status, which includes mainly building orientation and the corresponding dimension information (window of exterior window
Family opening width, height, the distance of window medium position from the ground of window bottom and top from the ground)；The draft type
Computing platform 32 stores various draft types to contaminant removal capacity computation model, and it is various to combine the data obtained to carry out
Draft type contaminant removal capacity calculates, and various draft type contaminant removal capacity result of calculations are finally transferred to micro- place
Manage device 4；The microprocessor 4 will be compared point various draft type detergent powers according to judgment criteria set by user
Analysis, selects best draft type, and sends out instruction control Switch for door and window control module 6 and new by man-machine interaction panel 5
Fan switch control module 7 achievees the purpose that execute optimal ventilation mode.
Wind transducer 11 in the present embodiment, air velocity transducer 12, temperature sensor 13, PM2.5 sensors 14 and wireless
Transmission module 15 is placed on 1 roof of building, and temperature sensor 22, PM2.5 sensors 23 and wireless transport module 21 are placed
Indoors in parlor 2.
Air velocity transducer described in the present embodiment uses the FWS200 wind speed wind direction sensors of city's sale with wind transducer；
The wireless transport module selects GSM4G modules, the module to be communicated using 4G real-time performance data；The microprocessor uses
Berthel microprocessors under elektron；The PM2.5 sensors use the model OPC-N2 of Britain Alpha production
PM2.5 sensors；The temperature sensor uses DHT11 thermal modules；The man-machine interaction panel uses TORTAI brands
The TT-13045 touch screen panels of company's production；The Switch for door and window control module uses the light-duty door and windows of DL-80 of odenx brands
Switch control module；The new wind turbine switch control module uses the intelligent switch module of GV-RK01-220ML models.
This method comprises the following steps：
1) draft type platform computation model is established：
(1) general pollutant concentration variation prediction model is established；
(2) natural ventilation system concentration variation prediction model is established；
(3) force ventilation mode concentration variation prediction model is established；
(4) infiltration draft type concentration variation prediction model is established；
2) under same indoor pollutant concentration level, according to different draft type pollutant concentration prediction models to various
Predicted value is transferred in microprocessor with the intervals 1min and is compared analysis by draft type；
3) pollutant is removed to each draft type according to the minimum safe level that resident family is arranged in man-machine interaction panel
Ability is calculated, and calculates various draft types and indoor pollutant concentration is reduced to the time that minimum safe level needs,
In this, as the removal ability index of various draft types；
4) microprocessor arranges the above-mentioned removal ability index as various draft types from small to large, and in people
It is shown in machine interactive panel；
5) using the corresponding draft type of index minimum value as optimal selection, the draft type of house is determined with this；Micro- place
It manages device and Switch for door and window control module/new wind turbine switch module is controlled according to the draft type of selection by ZigBee communication agreement.
This method further includes：Model verification step, it is specific as follows：
1) initial value of various draft type removal abilities is set；
2) Switch for door and window control module/new wind turbine switch control module is controlled by man-machine interaction panel；
3) gravity-flow ventilation/force ventilation/infiltration ventilation pollutant concentration prediction model proving program is carried out；
4) indoor accelerated test concentration level is detected and is recorded by being placed on indoor PM2.5 sensors, set when reaching
Stop proving program when value；
5) value for the indoor accelerated test concentration for being detected PM2.5 sensors using Gaussian weighting marks method is calculated with model
Concentration variation is compared, and iteration is obtained for the house using optimum air mixed characteristic coefficient when gravity-flow ventilation.
The various draft type contaminant removal capacity computation models of draft type computing platform storage of the present invention are bases
Mass balance principle predicts the variation of indoor pollutant concentration, and calculates various ventilations according to the concentration curve of prediction
Mode contaminant removal capacity, in detail for, the draft type computing platform computation model is specific as follows：
(1) general pollutant concentration variation prediction model is established：
It is such as public that general indoor pollutant concentration changes with time relational expression can be calculated according to mass balance equation (2)
Shown in formula (1)：
Wherein, calculation formula (1) is obtained by following mass balance equation formula (2)：
In formula (1) and formula (2), V is the volume in region, m3；S is pollutant source strength, ug/h；K is air mixing
Characteristic coefficient, the value are calculated when being verified by model；C is concentration in region, ug/m3；QSIt is by the air quantity of outdoor entrance, m3/
h；QnIt is the air quantity that adjacent area enters, m3/h；CnIt is adjacent area concentration, ug/m3；QiIt is the air quantity for flowing to adjacent area, m3/
h；QeIt is exhaust air rate, m3/h；α is deposition, m3/h；P is new wind turbine purification efficiency, by using new wind turbine type to determine, this example
Value 0.8.
(2) natural ventilation system concentration variation prediction model is established：
According to general pollutant concentration variation prediction model, for natural ventilation system, concentration variation relation formula can be by
Formula (3) obtains:
Wherein, the Q in formula (3)SIt is calculated by formula (4)：
In formula (4), CdIt is discharge coefficient, value 0.6；L, a and b distinguish window opening width, window bottom and upper
The height of portion from the ground；Z0For the distance of window medium position from the ground；About window geological information by model dwelling data
Library provides.Ti、TaAnd TavgThe average value of respectively indoor temperature, outdoor temperature and indoor and outdoor temperature, the data have placement
Outer temperature sensor test indoors；UrefFor outdoor wind speed, provided by outdoor air velocity transducer monitoring data.
(3) force ventilation mode concentration variation prediction model is established：
According to general pollutant concentration variation prediction model, for force ventilation mode, concentration variation relation formula can be by
Formula (5) obtains：
Wherein, Qs is new fan delivery, and air quantity is 450m in the present embodiment3/h。
(4) infiltration draft type concentration variation prediction model is established：
According to general pollutant concentration variation prediction model, for permeating draft type, concentration variation relation formula is same
It can be obtained by formula (3), but Q thereinSBy U.S. heating, Refrigeration ＆ Air-Conditioning Society of Engineers standard (ASHRAE 1997HVAC
Fundamentals Handbook) in for infiltration ventilation propose Enhanced Model calculate, such as formula (6) institute
Show：
Wherein, c is that window infiltration coefficient takes 0.001；N is that window penetration index takes 0.847；Cs is hot pressing system
Number takes recommendation 0.098；Cw is that wind factor takes recommendation 0.17；S is that occlusion coefficient takes recommendation 1；G is wind speed product coefficient
Take recommendation 1；UmetFor outdoor wind speed, the value is from the air velocity transducer monitoring being placed on outdoor roof；Δ t is interior
The outer temperature difference, the temperature sensor monitors data by being placed on indoor and outdoor provide.
A specific embodiment is set forth below, the present invention will be described：
A common room is chosen from model dwelling database as carrier is illustrated, the database is by using the system to use
Family is provided according to practical residence status, which includes mainly building orientation and the corresponding dimension information (window opening of exterior window
Width, height, the distance of window medium position from the ground of window bottom and top from the ground), for example, by using Ku Jiale companies
The data of collection.Air velocity transducer, wind transducer, PM2.5 sensors and temperature sensor are placed at building roof, are used
In the outdoor meteorological data information of real-time monitoring, equally placed at parlor indoors PM2.5 sensors and temperature sensor to
Indoor air quality data are monitored in real time, and being aerated mode in conjunction with these data calculates.In this embodiment, personnel are simulated
Smoking activity causes PM2.5 concentration in room air to rise, and attempts to improve indoor air quality by ventilation with this.Preferably,
Include model proving program in draft type computing platform to increase the applicability of draft type model, is somebody's turn to do in first use
When system, the value of the indoor accelerated test concentration detected to PM2.5 sensors using Gaussian weighting marks method calculates dense with model
Degree variation is compared, and obtains the optimum air mixed characteristic coefficient for the house, various draft type concentration are corrected with this
Variation prediction model.
In model Qualify Phase, the Particulate Pollution object of certain high concentration is generated indoors first as the different ventilations of calculating
The initial value of mode removal ability, and Switch for door and window control module is controlled by man-machine interaction panel, it opens exterior window and carries out nature
Ventilation carries out gravity-flow ventilation prediction model proving program at this time；By being placed on indoor PM2.5 sensors detection and recording room
Endoparticle object concentration level stops gravity-flow ventilation model proving program when reaching setting value.Number is tested in conjunction with outdoor sensor
Natural ventilation rate is calculated according to using formula (4), and result is brought into formula (3), finally utilizes Gaussian weighting marks method will
The concentration variation that the value of the indoor accelerated test concentration of PM2.5 sensors detection is calculated with model is compared, and iterative process is such as
Shown in Fig. 4, obtain when using gravity-flow ventilation for the house optimum air mixed characteristic coefficient for 0.87.Fig. 3 (a), which is shown, to be adopted
Gravity-flow ventilation prediction model is utilized to sense indoor pollutant concentration calculated value and interior PM2.5 with when best mixed characteristic coefficient
Device detected value comparing result.From the results, it was seen that house is under Natural Ventilation Mode, it can using gravity-flow ventilation prediction model
There is preferably predictive ability to indoor accelerated test concentration.
Using same method, force ventilation and infiltration ventilation pollutant concentration prediction model are verified, tied
Fruit is respectively as shown in Fig. 3 (b) and Fig. 3 (c).
After the verification for completing model, in actual use, under same indoor pollutant concentration level, draft type calculates flat
Predicted value will be transferred to various draft types with the intervals 1min according to different draft type pollutant concentration prediction models by platform
Analysis is compared in microprocessor.The minimum safe level being arranged in man-machine interaction panel according to resident family is to each ventilation side
Formula removal pollutant ability is calculated, as 35ug/m is arranged in the present embodiment3For indoor minimum safe level, then pass through Fig. 3
(a) various draft types are calculated to the data of (c) display and indoor pollutant concentration is reduced to what minimum safe level needed
Time (such as：Gravity-flow ventilation 19min；Force ventilation 18min；Infiltration ventilation 170min), in this, as various draft types
Removal ability index.Preferably, since force ventilation is compared to gravity-flow ventilation and the additional increase energy consumption of infiltration ventilation needs, it should
System allows user to this setting weight (such as 1.5) in calculating force ventilation contaminant removal capacity, then last each logical
The removal ability index of wind mode is respectively：Gravity-flow ventilation 19min；Force ventilation 27min；Infiltration ventilation 170min.Microprocessor
Device arranges the index from small to large, and is shown in man-machine interaction panel.By the corresponding draft type of index minimum value
As optimal selection, the draft type (gravity-flow ventilation) of house is determined with this.Microprocessor by ZigBee communication agreement according to
The draft type control Switch for door and window control module (opening exterior window) and new wind turbine switch module (closing new wind turbine) of selection, reach
Using the purpose of target ventilation mode (gravity-flow ventilation).
It should be understood that embodiment and example discussed herein simply to illustrate that, to those skilled in the art
For, it can be improved or converted, and all these modifications and variations should all belong to the protection of appended claims of the present invention
Range.
Claims (2)
1. a kind of draft type computing platform computational methods, which is characterized in that this method comprises the following steps：
1) draft type platform computation model is established：
(1) general pollutant concentration variation prediction model is established；
(2) natural ventilation system concentration variation prediction model is established；
(3) force ventilation mode concentration variation prediction model is established；
(4) infiltration draft type concentration variation prediction model is established；
2) under same indoor pollutant concentration level, according to different draft type pollutant concentration variation prediction models to various
Predicted value is transferred in microprocessor with the intervals 1min and is compared analysis by draft type；
3) pollutant ability is removed to each draft type according to the minimum safe level that resident family is arranged in man-machine interaction panel
It is calculated, calculates various draft types and indoor pollutant concentration is reduced to the time that minimum safe level needs, with this
Removal ability index as various draft types；
4) microprocessor arranges the above-mentioned removal ability index as various draft types from small to large, and in man-machine friendship
It is shown in mutual panel；
5) using the corresponding draft type of index minimum value as optimal selection, the draft type of house is determined with this；Microprocessor
By ZigBee communication agreement Switch for door and window control module/new wind turbine switch module is controlled according to the draft type of selection.
2. a kind of draft type computing platform computational methods according to claim 1, which is characterized in that this method is also wrapped
It includes：Model verification step, it is specific as follows：
1) initial value of various draft type removal abilities is set；
2) Switch for door and window control module/new wind turbine switch control module is controlled by man-machine interaction panel；
3) gravity-flow ventilation/force ventilation/infiltration ventilation pollutant concentration prediction model proving program is carried out；
4) it is detected by being placed on indoor PM2.5 sensors and records indoor accelerated test concentration level, when reaching setting value
Stop proving program；
5) concentration that the value for the indoor accelerated test concentration for being detected PM2.5 sensors using Gaussian weighting marks method is calculated with model
Variation is compared, iteration, is obtained for the house using optimum air mixed characteristic coefficient when gravity-flow ventilation.
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| CN112178866A (en) * | 2020-08-20 | 2021-01-05 | 珠海格力电器股份有限公司 | Air purification method, air purification device, air conditioner and control method thereof |
| CN112178865A (en) * | 2020-08-17 | 2021-01-05 | 珠海格力电器股份有限公司 | Air conditioner pollutant detection method, purification method, control method and air conditioner |
| CN112684102A (en) * | 2019-10-17 | 2021-04-20 | 霍尼韦尔国际公司 | Apparatus and method for air quality maintenance |
| CN113864225A (en) * | 2021-12-03 | 2021-12-31 | 四川省畜牧科学研究院 | Complex wind field model construction method based on multiple independent control parameters |
| CN114183901A (en) * | 2021-12-13 | 2022-03-15 | 中国人民解放***箭军工程大学 | Intelligent control method and system for radon-reducing ventilation system of underground building suitable for multiple scenes |
| CN114183896A (en) * | 2021-11-15 | 2022-03-15 | 重庆大学 | Indoor multi-pollutant coordination control system and method based on performance target |
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