CN113531603A - Model selection method for additionally installing outdoor fan system in centralized smoke exhaust system of building - Google Patents

Model selection method for additionally installing outdoor fan system in centralized smoke exhaust system of building Download PDF

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CN113531603A
CN113531603A CN202010288920.3A CN202010288920A CN113531603A CN 113531603 A CN113531603 A CN 113531603A CN 202010288920 A CN202010288920 A CN 202010288920A CN 113531603 A CN113531603 A CN 113531603A
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何立博
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Ningbo Fotile Kitchen Ware Co Ltd
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24CDOMESTIC STOVES OR RANGES ; DETAILS OF DOMESTIC STOVES OR RANGES, OF GENERAL APPLICATION
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    • F24C15/20Removing cooking fumes
    • F24C15/2021Arrangement or mounting of control or safety systems
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Abstract

The invention relates to a type selection method for an outdoor fan system in a building centralized smoke exhaust system, wherein the building centralized smoke exhaust system comprises indoor smoke exhaust ventilators arranged at user sides of different floors, the air outlet of each indoor smoke exhaust ventilator of each floor is communicated with a common flue through each indoor smoke pipe, and the type selection method is characterized in that: when an outdoor auxiliary fan system needs to be installed on the top of the public flue, a detection module for detecting the actual exhaust air volume and power of the indoor range hood of each floor after starting up is installed indoors for each floor, and the detection module can be in communication connection with the cloud server. Compared with the prior art, the invention has the advantages that: through collecting the actual use data, the cloud server takes the actual turn-on rates of floors, flow, repetition time and the like into consideration for recommendation through background calculation and analysis, so that the type selection is more accurate, the repeated purchase and change probability is reduced, and the actual use effect of a user is improved.

Description

Model selection method for additionally installing outdoor fan system in centralized smoke exhaust system of building
Technical Field
The invention relates to a type selection method for additionally arranging an outdoor fan system in a centralized smoke exhaust system of a building.
Background
At present, most of high-rise houses adopt a centralized smoke exhaust mode, an indoor range hood is connected with a public flue through a smoke pipe and a check valve, and oil smoke in a kitchen is sucked by the indoor range hood and then is exhausted into the public flue through the smoke pipe. The top of the public flue is provided with an outdoor main machine, and the outdoor main machine further sucks and discharges the oil smoke in the public flue into outdoor atmosphere after being started.
In the existing centralized smoke exhaust system of a building, particularly a part of old finish-finished buildings, because the prior developers set unreasonable flues or select indoor smoke exhaust ventilators with poor performance, the users have more complaints, and the later period independently adds an auxiliary smoke exhaust outdoor fan on the roof to form a reinforced smoke exhaust system to gradually popularize, so that the smoke exhaust efficiency is better than the respective smoke exhaust effect before adding. However, the outdoor exhaust fan additionally installed at the later stage generally only considers the factors such as installation capability or floor height and the like, and does not consider the factors such as actual starting rate, cooking centralization and the like which actually influence the smoke exhaust effect of different floors, so that the additionally installed outdoor exhaust fan cannot reach the expected effect, and further influences user experience and public praise.
Disclosure of Invention
The invention aims to solve the technical problem of providing a type selection method for additionally installing an outdoor fan system in a centralized smoke exhaust system of a building, which can provide accurate reference for type selection of the additionally installed outdoor fan system in the prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows: 1. the utility model provides an outdoor fan system model selection method among centralized smoke exhaust system of building, wherein the centralized smoke exhaust system of building, including installing the indoor range hood in different floor user side, the air outlet of the indoor range hood of every floor all is linked together its characterized in that through respective indoor tobacco pipe and common flue: when the outdoor auxiliary fan system needs to be installed at the top of the public flue, a detection module used for detecting the actual exhaust air volume and power of the indoor range hood of the floor after being started is installed indoors for each layer of users, the detection module can be in communication connection with a cloud server, and then the cloud server determines the type selection of the outdoor auxiliary fan system in the following mode:
step 1, starting an indoor range hood, and awakening a detection module 5;
step 2, recording the actual air exhaust amount and power of the indoor floor range hood after the indoor range hood is started stably by the detection module 5, and recording the startup and shutdown time period of the indoor floor range hood;
step 3, the detection module feeds back the collected startup and shutdown time, actual exhaust air volume and power of the indoor range hood of the corresponding floor to the cloud server;
step 4, the cloud server analyzes the startup and shutdown time periods of the indoor range hoods within a period of time (for example, 24 hours is a period) in the same common flue according to the information fed back by the detection module, determines a time period with the largest startup number of the indoor range hoods, marks the time period as a peak time period, and counts the startup rate Ym in the peak time period;
step 5, reversely checking the floor information, the actual exhaust volume and the power of the indoor range hood started in the peak time period according to the information fed back by the detection module;
step 6, the cloud server obtains a first extra weight coefficient generated due to floor difference by inquiring a prestored floor-weight coefficient list or calculating according to the floor information of the indoor range hood started in the peak time period, and the first extra weight coefficient of the ith floor is given as Hi;
step 7, the cloud server obtains a second extra weight coefficient generated due to the difference of the actual air exhaust volume of the indoor range hood by inquiring a pre-stored air exhaust volume-weight coefficient list or by calculation according to the air exhaust volume of the indoor range hood started in the peak time period, and the second extra weight coefficient of the ith floor is given as Ki;
step 8, the cloud server calculates the actual startup contribution rate Wm in the peak time period according to the following formula, wherein the value of Wm ═ Σ Hi Ki, and i is the floor information of the indoor range hood started in the peak time period;
and 9, selecting the item with the larger median value of Ym and Wm, and assigning the value as Km, namely Km is max (Ym, Wm)
Step 10, selecting the models of all outdoor auxiliary fan systems with suction and discharge parameters larger than n × Km × Q according to Km and the total number n of floors; wherein Q is the rated exhaust air quantity of the indoor range hood during working;
step 11, obtaining the environmental size parameter of the top of the common flue for installing the outdoor auxiliary fan system;
and step 12, finding out and outputting the selected types of all the outdoor auxiliary fan systems which accord with the environment size parameters in the step 11 from the selected types of all the outdoor auxiliary fan systems obtained in the step 10.
In the step 6, the pre-stored floor-weight coefficient list is an empirical table and is an artificial empirical value;
the calculation method of Hi is obtained as follows:
Figure BDA0002449648840000021
presetting a certain floor as a basic floor, defining the starting rate of the basic floor as a parameter A, and P0 as the power of the indoor range hood of the basic floor after starting; and m is a flue coefficient, and the value range of m is [0.8, 1.5 ].
In the step 7, a list of pre-stored exhaust air volume-weight coefficient is an artificial empirical value;
the calculation method of Ki is obtained by the following method:
Figure BDA0002449648840000022
qti is the target exhaust air quantity of the range hood in the ith floor after the range hood is started; qsi is the actual exhaust volume of the range hood in the ith floor after starting; and n is a flow change influence coefficient and has a value range of [0.8, 1.3 ].
The period of time in the step 4 is a period of time, and is 24 hours or a week or a month.
Compared with the prior art, the invention has the advantages that: through gathering the in-service use data, combine high in the clouds backstage computational analysis, consider the floor, the flow, the actual turn-on rate of repetition time etc. recommends, make the type selection more accurate, reduce repeated purchase and change the machine probability, promote user's in-service use effect, and the installation of general indoor registering one's residence only needs installation detection module once, later stage installation helps the outdoor unit only to need at the roof operation, the networking is paird the information and all can be followed the cloud section and downloaded outdoor range hood, reduce the influence of registering one's residence to the user, promote and use experience.
Drawings
Fig. 1 is a schematic structural diagram of a centralized smoke exhaust system of a building in an embodiment of the invention.
Fig. 2 is a flowchart of a method for selecting the type of an outdoor fan system in a centralized smoke exhaust system of a building according to an embodiment of the invention.
Detailed Description
The invention is described in further detail below with reference to the accompanying examples.
The invention provides a building centralized smoke exhaust system, which is characterized in that indoor smoke exhaust ventilators 1 installed at user sides of different floors are respectively communicated with a public flue 3 through respective indoor smoke pipes 2, when an outdoor auxiliary fan system is required to be installed at the top of the public flue 3, a detection module 5 for detecting the actual exhaust air volume and power of the indoor smoke exhaust ventilator of each floor after being started is installed in each user room, the detection module 5 can be in communication connection with a cloud server 6, and then the cloud server 6 determines the type selection of the outdoor auxiliary fan system in the following way:
step 1, starting an indoor range hood, and awakening a detection module 5;
step 2, recording the actual air exhaust amount and power of the indoor floor range hood after the indoor range hood is started stably by the detection module 5, and recording the startup and shutdown time period of the indoor floor range hood;
step 3, the detection module feeds back the collected startup and shutdown time, actual exhaust air volume and power of the indoor range hood of the corresponding floor to the cloud server;
step 4, the cloud server analyzes the startup and shutdown time periods of the indoor range hoods (such as 24 hours) in a period of time by the same common flue according to the information fed back by the detection module, determines a time period with the largest startup number of the indoor range hoods, such as a period from 11 o 'clock 30 minutes to 12 o' clock 30 minutes at noon or a period from 5 o 'clock half to 6 o' clock half at evening, marks the time period as a peak time period, and counts the startup probability Ym in the peak time period;
step 5, reversely checking the floor information, the actual exhaust volume and the power of the indoor range hood started in the peak time period according to the information fed back by the detection module;
step 6, the cloud server obtains a first extra weight coefficient generated due to floor difference by inquiring a prestored floor-weight coefficient list or calculating according to the floor information of the indoor range hood started in the peak time period, and the first extra weight coefficient of the ith floor is given as Hi;
the pre-stored floor-weight coefficient list is an empirical table and is an artificial empirical value;
and the calculation method of Hi can be obtained by the following formula:
Figure BDA0002449648840000041
presetting a certain floor as a basic floor, defining the starting rate of the basic floor as a parameter A, and P0 as the power of the indoor range hood of the basic floor after starting; the power of the range hood in the Pi ith floor after starting up is m is a flue coefficient, and the value range is [0.8, 1.5 ];
step 7, the cloud server obtains a second extra weight coefficient generated due to the difference of the actual air exhaust volume of the indoor range hood by inquiring a pre-stored air exhaust volume-weight coefficient list or by calculation according to the air exhaust volume of the indoor range hood started in the peak time period, and the second extra weight coefficient of the ith floor is given as Ki;
the pre-stored list of the air discharge quantity and the weight coefficient is an artificial experience value;
the calculation method of Ki is obtained by the following formula:
Figure BDA0002449648840000042
qti is the target exhaust air quantity of the range hood in the ith floor after the range hood is started; qsi is the actual exhaust volume of the range hood in the ith floor after starting; n is the influence coefficient of flow variation, and the value range [0.8, 1.3]
Step 8, the cloud server calculates the actual startup contribution rate Wm in the peak time period according to the following formula, wherein the value of Wm ═ Σ Hi Ki, and i is the floor information of the indoor range hood started in the peak time period;
and 9, selecting the item with the larger median value of Ym and Wm, and assigning the value as Km, namely Km is max (Ym, Wm)
Step 10, selecting the models of all outdoor auxiliary fan systems with suction and discharge parameters larger than n × Km × Q according to Km and the total number n of floors; q is rated exhaust air quantity when the indoor range hood works, and for the indoor range hood of the known machine type, Q is generally a fixed constant;
step 11, obtaining the environmental size parameter of the top of the common flue for installing the outdoor auxiliary fan system;
and step 12, finding out and outputting the selected types of all the outdoor auxiliary fan systems which accord with the environment size parameters in the step 11 from the selected types of all the outdoor auxiliary fan systems obtained in the step 10.

Claims (4)

1. The utility model provides an outdoor fan system model selection method among centralized smoke exhaust system of building, wherein the centralized smoke exhaust system of building, including installing the indoor range hood in different floor user side, the air outlet of the indoor range hood of every floor all is linked together its characterized in that through respective indoor tobacco pipe and common flue: when the outdoor auxiliary fan system needs to be installed at the top of the public flue, a detection module used for detecting the actual exhaust air volume and power of the indoor range hood of the floor after being started is installed indoors for each layer of users, the detection module can be in communication connection with a cloud server, and then the cloud server determines the type selection of the outdoor auxiliary fan system in the following mode:
step 1, starting an indoor range hood, and awakening a detection module;
step 2, recording the actual air exhaust amount and power of the indoor range hood of the floor after the indoor range hood of the floor is started after the indoor range hood is started stably by the detection module, and recording the startup and shutdown time period of the indoor range hood of the floor;
step 3, the detection module feeds back the collected startup and shutdown time, actual exhaust air volume and power of the indoor range hood of the corresponding floor to the cloud server;
step 4, the cloud server analyzes the startup and shutdown time periods of the indoor range hoods within a period of time (for example, 24 hours is a period) in the same common flue according to the information fed back by the detection module, determines a time period with the largest startup number of the indoor range hoods, marks the time period as a peak time period, and counts the startup rate Ym in the peak time period;
step 5, reversely checking the floor information, the actual exhaust volume and the power of the indoor range hood started in the peak time period according to the information fed back by the detection module;
step 6, the cloud server obtains a first extra weight coefficient generated due to floor difference by inquiring a prestored floor-weight coefficient list or calculating according to the floor information of the indoor range hood started in the peak time period, and the first extra weight coefficient of the ith floor is given as Hi;
step 7, the cloud server obtains a second extra weight coefficient generated due to the difference of the actual air exhaust volume of the indoor range hood by inquiring a pre-stored air exhaust volume-weight coefficient list or by calculation according to the air exhaust volume of the indoor range hood started in the peak time period, and the second extra weight coefficient of the ith floor is given as Ki;
step 8, the cloud server calculates the actual startup contribution rate Wm in the peak time period according to the following formula, wherein the value of Wm ═ Σ Hi Ki, and i is the floor information of the indoor range hood started in the peak time period;
and 9, selecting the item with the larger median value of Ym and Wm, and assigning the value as Km, namely Km is max (Ym, Wm)
Step 10, selecting the models of all outdoor auxiliary fan systems with suction and discharge parameters larger than n × Km × Q according to Km and the total number n of floors; wherein Q is the rated exhaust air quantity of the indoor range hood during working;
step 11, obtaining the environmental size parameter of the top of the common flue for installing the outdoor auxiliary fan system;
and step 12, finding out and outputting the selected types of all the outdoor auxiliary fan systems which accord with the environment size parameters in the step 11 from the selected types of all the outdoor auxiliary fan systems obtained in the step 10.
2. The outdoor fan system type selection method in the centralized building smoke exhaust system according to claim 1, wherein the outdoor fan system type selection method comprises the following steps: in the step 6, the pre-stored floor-weight coefficient list is an empirical table and is an artificial empirical value;
the calculation method of Hi is obtained as follows:
Figure FDA0002449648830000021
presetting a certain floor as a basic floor, defining the starting rate of the basic floor as a parameter A, and P0 as the power of the indoor range hood of the basic floor after starting; and m is a flue coefficient, and the value range of m is [0.8, 1.5 ].
3. The outdoor fan system type selection method in the centralized building smoke exhaust system according to claim 1, wherein the outdoor fan system type selection method comprises the following steps: in the step 7, a list of pre-stored exhaust air volume-weight coefficient is an artificial empirical value;
the calculation method of Ki is obtained by the following method:
Figure FDA0002449648830000022
qti is the target exhaust air quantity of the range hood in the ith floor after the range hood is started; qsi is the actual exhaust volume of the range hood in the ith floor after starting; and n is a flow change influence coefficient and has a value range of [0.8, 1.3 ].
4. The outdoor fan system type selection method in the centralized building smoke exhaust system according to claim 1, wherein the outdoor fan system type selection method comprises the following steps: the period of time in the step 4 is a period of time, and is 24 hours or a week or a month.
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