CN111706866B - Carbonization monitoring method and system based on household garbage - Google Patents
Carbonization monitoring method and system based on household garbage Download PDFInfo
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- CN111706866B CN111706866B CN202010574140.5A CN202010574140A CN111706866B CN 111706866 B CN111706866 B CN 111706866B CN 202010574140 A CN202010574140 A CN 202010574140A CN 111706866 B CN111706866 B CN 111706866B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23G—CREMATION FURNACES; CONSUMING WASTE PRODUCTS BY COMBUSTION
- F23G5/00—Incineration of waste; Incinerator constructions; Details, accessories or control therefor
- F23G5/50—Control or safety arrangements
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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Abstract
The application provides a domestic garbage-based carbonization monitoring method and a domestic garbage-based carbonization monitoring system, wherein the method comprises the following steps: in the process of domestic garbage carbonization treatment, the working condition of the carbonization furnace is monitored in real time; acquiring first carbonization data in a carbonization area in the process of carbonizing the household garbage in real time under the condition that the working conditions of the carbonization furnace meet preset standard conditions; and monitoring the stability of the domestic garbage carbonization according to the first carbonization data. This application monitors flame's stability, improves domestic waste's carbonization efficiency and carbonization complete degree, improves the rate of recovery of the energy.
Description
Technical Field
The application relates to the technical field of garbage treatment, in particular to a household garbage-based carbonization monitoring method and system.
Background
The flue gas discharged by the incineration of the household garbage contains various harmful and toxic substances such as SO2, HCl, HF, hg, pb, cd, NOx, dioxin, heavy metals and the like, and if a simple incineration method is adopted, serious secondary pollution can be caused.
Among the prior art, the stability of flame among the carbonization pyrolysis process of domestic waste can't be monitored to the in-process of domestic waste carbonization, if the unstability of flame burning, can reduce domestic waste's combustion efficiency on the one hand, produces noise or pollutant, and on the other hand can cause the waste of the energy, increases manufacturing cost. Therefore, it is necessary to monitor the flame stability during the process of carbonizing the household garbage in the carbonizing furnace, so as to ensure the complete carbonization of the household garbage or to take remedial measures as soon as possible.
Disclosure of Invention
The application aims to provide a domestic garbage-based carbonization monitoring method and system, which are used for monitoring the stability of flame, improving the carbonization efficiency and the carbonization completeness of domestic garbage and improving the recovery rate of energy.
In order to achieve the above object, the present application provides a domestic waste-based carbonization monitoring method, which comprises:
in the process of domestic garbage carbonization treatment, the working condition of the carbonization furnace is monitored in real time;
acquiring first carbonization data in a carbonization area in the process of carbonizing the household garbage in real time under the condition that the working conditions of the carbonization furnace meet preset standard conditions;
and monitoring the stability of the domestic garbage carbonization according to the first carbonization data.
As above, wherein the operating conditions of the carbonization furnace are controlled as follows: the temperature is less than 230 ℃, the interior of the carbonization furnace is in an oxygen-free environment, and the carbonization furnace is in a sealed state.
The method for monitoring the carbonization stability of the household garbage according to the first carbonization data comprises the following sub-steps:
a plurality of first flame images continuously collected within a preset time period;
calculating a flame stability value according to the plurality of first flame images;
and comparing the calculated flame stability value with a preset threshold value, wherein if the flame stability value is greater than the preset threshold value, the domestic garbage is not carbonized stably, and otherwise, the domestic garbage is carbonized stably.
As above, wherein the flame stability value is calculated by the formula:
wherein H represents the total number of the acquired first flame images, and H represents the number of the first flame images; u. u h Representing an area of a flame region in the first flame image; v h Representing an area of a non-flame region in the first image of flames; p is h (x, y) represents the gray value of a pixel with the pixel point coordinate (x, y) of the h-th first flame image; p h+1 (x, y) represents the gray value of the pixel with the h +1 th first flame image pixel point coordinate being (x, y); d h(h+1) And representing the distance between the flame center point coordinate of the h-th first flame image and the flame center point coordinate of the h + 1-th first flame image.
As above, wherein the flame center point coordinate (x) 0 ,y 0 ) The calculation formula of (2) is as follows:
As above, wherein the face of the flame region in the first flame imageProduct u h The calculation formula of (2) is as follows:
u h ＝B·C·I；
b represents the total column number of pixel points in the flame area of the first flame image; c represents the total number of rows of flame region pixel points of the first flame image, and I represents the area of a single pixel.
As above, wherein, the domestic waste-based carbonization monitoring method further includes: and purifying the smoke discharged by the carbonization furnace after the carbonization treatment, and monitoring whether the purified smoke meets the emission standard in real time.
As above, wherein the SO is neutralized in the purification treatment 2 The dosage of the gas neutralizer is controlled by the following method:
detecting SO in purified flue gas 2 The content of gas;
according to detected SO 2 Content of (3), predetermined SO 2 Calculating the dosage regulating value of the neutralizer by using the gas emission standard value and the allowable deviation grade;
and adjusting the dosage of the neutralizing agent according to the dosage adjusting value of the neutralizing agent.
As above, wherein, the domestic waste-based carbonization monitoring method further includes: and inputting the collected first carbonization data into a pre-constructed household garbage category identification model to obtain the category of the household garbage in the carbonization furnace.
The application also provides a carbonization monitoring system based on domestic waste, and this system includes:
the carbonization furnace working condition monitoring module is used for monitoring the working condition of the carbonization furnace in real time in the process of carbonizing the household garbage;
the data acquisition module is used for acquiring first carbonization data in a carbonization area in the process of carbonizing the household garbage in real time under the condition that the working condition of the carbonization furnace meets the preset standard condition;
and the stability monitoring module is used for monitoring the stability of the household garbage carbonization according to the first carbonization data.
The beneficial effect that this application realized is as follows:
(1) This application carries out innocent treatment to domestic waste, adopts the method of low temperature anaerobic pyrolysis carbonization for domestic waste carbonization, it produces more heat at the in-process of carbonization, with heat recovery, has practiced thrift the energy, and in addition, domestic waste produces less flue gas at the in-process of carbonization, contains less harmful substance in the flue gas, carries out purification treatment to the flue gas, prevents that domestic waste from causing the pollution to the environment.
(2) This application carries out real-time supervision to domestic waste carbonization's process, monitors domestic waste's carbonization condition to adjust the parameter of carbide furnace according to domestic waste's carbonization condition, with the carbonization efficiency and the carbonization complete degree that improve domestic waste, improve the rate of recovery of the energy.
(3) This application carries out real time monitoring to the flue gas behind the purification treatment, prevents still to have harmful substance in the flue gas behind the purification treatment, and then prevents to cause the pollution to the environment.
(4) The method and the device judge the category of the domestic garbage in the carbonization furnace according to the flame image and the flame spectrum information in the domestic garbage carbonization process so as to know the carbonization condition in the carbonization furnace.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the description below are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art according to these drawings.
Fig. 1 is a flowchart of a household garbage-based carbonization monitoring method according to an embodiment of the present application.
Fig. 2 is a flowchart of a method for monitoring the stability of domestic waste carbonization according to an embodiment of the present application.
FIG. 3 illustrates an embodiment of the present application for neutralizing SO in a cleaning process 2 A flow chart of a method for controlling the dosage of a gas neutralizing agent.
Fig. 4 is a schematic structural diagram of a domestic waste-based carbonization monitoring system according to an embodiment of the present application.
Reference numerals are as follows: 10-a carbonization furnace working condition monitoring module; 20-a data acquisition module; 30-a stability detection module; 31-an acquisition module; 32-a calculation module; 33-a comparison module; 40-household garbage category identification model; 50-neutralizer dosage control module; 60-a smoke detection module; 100-carbonization monitoring system.
Detailed Description
The technical solutions in the embodiments of the present application are clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Example one
As shown in fig. 1, the present application provides a domestic waste-based carbonization monitoring method, which includes:
step S1, monitoring the working condition of the carbonization furnace in real time in the process of carbonizing the household garbage.
Specifically, after the domestic garbage is pretreated, the domestic garbage is put into a carbonization furnace for carbonization treatment, and the working state of the carbonization furnace is monitored in real time in the process of carbonization treatment of the domestic garbage.
Controlling the working conditions of the carbonization furnace as follows: the temperature is less than 230 ℃, the interior of the carbonization furnace is in an oxygen-free environment, and the carbonization furnace is in a sealed state.
A carbonization catalyst for promoting the carbonization of the household garbage is put into a carbonization furnace, and the carbonization catalyst comprises the following components: 60-75% of aluminum hydroxide, 3-5% of urea and 25-40% of kaolin.
Step S2, collecting first carbonization data in a carbonization area in the process of carbonizing the household garbage in real time under the condition that the working conditions of the carbonization furnace meet the preset standard conditions, wherein the first carbonization data comprises: first flame spectral information and a first flame image.
And S3, monitoring the carbonization stability of the household garbage according to the first carbonization data.
As shown in fig. 2, the method for monitoring the stability of the carbonization of the domestic garbage according to the first carbonization data comprises the following sub-steps:
step S310, a plurality of first flame images are continuously collected within a preset time period.
Specifically, a plurality of first flame images are continuously collected within a preset period of time according to a preset time interval.
Step S320, calculating a flame stability value according to the plurality of first flame images.
Specifically, the flame stability value is calculated by the following formula:
wherein H represents the total number of the acquired first flame images, and H represents the number of the first flame images; u. u h Representing an area of a flame region in the first image of flames; v h Representing an area of a non-flame region in the first image of flames; p h (x, y) represents the gray value of the pixel with the coordinates (x, y) of the pixel point of the h first flame image; p h+1 (x, y) represents the gray value of the pixel with the h +1 th first flame image pixel point coordinate of (x, y); d is a radical of h(h+1) And representing the distance between the flame center point coordinate of the h-th first flame image and the flame center point coordinate of the h + 1-th first flame image.
Wherein the flame center point coordinate (x) 0 ,y 0 ) The calculation formula of (c) is:
Wherein the area u of the flame region in the first flame image h The calculation formula of (c) is:
u h ＝B·C·I；
b represents the total column number of pixel points in the flame area of the first flame image; c represents the total number of rows of flame region pixel points of the first flame image, and I represents the area of a single pixel.
Wherein the area V of the non-flame region in the first flame image h The calculation formula of (2) is as follows:
V h ＝L 1 ·M 1 ·I-u h ；
wherein L is 1 Representing a total number of rows of pixel points of the first flame image; m 1 Representing a total number of columns of pixel points of the first flame image; i represents the area of a single pixel; u. of h The area of the flame region in the first image of flames.
Wherein, P h (x,y)＝0.3r(x,y)+0.59g(x,y)+0.11b(x,y)；
Wherein r (x, y) represents a red value component of a pixel point with a pixel point coordinate of (x, y) in the first flame image; g (x, y) represents the green value component of a pixel point with the coordinate (x, y) of the pixel point in the first flame image; b (x, y) represents the blue value component of the pixel point with the coordinate (x, y) in the first flame image.
And S330, comparing the calculated flame stability value with a preset threshold value, wherein if the flame stability value is greater than the preset threshold value, the domestic garbage is not carbonized stably, otherwise, the domestic garbage is carbonized stably.
And S4, purifying the flue gas discharged by the carbonization furnace after carbonization, and monitoring whether the purified flue gas meets the emission standard in real time.
Particularly, the CO and the SO in the flue gas discharged after the purification treatment are monitored 2 、NO X Whether the content of (D) exceeds the standard or not. The smoke emission reaches the national regulation standard, and the harmless treatment is realized.
As shown in FIG. 3, the SO used for neutralization in the purification treatment 2 The dosage of the gas neutralizer is controlled by the following method:
step T1, detecting SO in the purified flue gas 2 Content of (sulphur dioxide gas) gas.
In the step (T2), the step (A),according to detected SO 2 Content of gas, predetermined SO 2 And calculating the dosage regulating value of the neutralizing agent by using the gas emission standard value and the allowable deviation grade. Neutralizing agent and SO in flue gas 2 The gas performs a neutralization action.
Specifically, the calculation method of the dosage adjustment value of the neutralizing agent is as follows:
wherein ZH represents the adjustment value of the using amount of the neutralizing agent; s so2 Indicating SO in flue gas 2 The content of gas; s yu Denotes a predetermined SO 2 A gas emission standard value; d e Indicating the allowable deviation level.
Step T3, adjusting the dosage of the neutralizer (such as lime slurry) according to the dosage adjustment value of the neutralizer, and further adjusting SO contained in the exhaust gas after purification treatment 2 Amount of gas such that SO 2 The emission amount of the gas meets the emission standard.
Specifically, if the neutralizer dosage adjustment value is a positive number, adding lime slurry with the same amount as the calculated neutralizer dosage adjustment value; if the neutralizer dosage adjustment value is negative, the lime slurry is reduced by the same amount as the calculated neutralizer dosage adjustment value.
According to an embodiment of the invention, in the process of carbonizing the household garbage, the grate in the carbonizing furnace is automatically controlled to act so as to promote the pyrolysis of the household garbage, improve the pyrolysis efficiency and ensure that the household garbage is pyrolyzed more fully.
And S5, inputting the collected first carbonization data into a pre-constructed household garbage category identification model to obtain the category of the household garbage in the carbonization furnace.
Specifically, first carbonization data collected after the domestic garbage is carbonized for a certain period of time is selected, the selected first carbonization data is input into a pre-constructed domestic garbage classification model, and the domestic garbage classification model identifies the classification of the domestic garbage carbonized in the carbonization furnace and outputs the classification of the domestic garbage in the carbonization furnace.
Wherein the first carbonization data includes: first flame spectral information and first flame image, first flame spectral information include flame intensity and flame amplitude, set up the optical fiber sensor to gathering flame spectral information in the carbide furnace in the observation hole department of carbide furnace, gather flame intensity and flame amplitude through optical fiber sensor.
Wherein the household garbage categories include: kitchen waste, paper, plastics, rubber, wood, fruit peel and the like.
The pre-constructed household garbage category identification model stores a second carbonization parameter, and the second carbonization parameter comprises: second flame spectral information and a second flame image. The second flame spectral information and the second flame image correspond to standard household garbage categories.
The second flame spectrum information comprises single flame spectrum information generated in the carbonization process of each household garbage category and multiple flame mixed spectrum information generated in the carbonization process of two or more than two household garbage categories, and the second flame image comprises a single flame image generated in the carbonization process of each household garbage category and multiple flame mixed images generated in the carbonization process of two or more than two household garbage categories.
Wherein the second flame spectral information includes a second flame intensity and a second flame amplitude.
And calculating the similarity between the first carbonization data and the second carbonization parameters, and judging the carbonized household garbage category as the household garbage category corresponding to the second carbonization parameter with the maximum similarity according to the calculation result.
Specifically, the method for calculating the similarity between the first carbonization data and the second carbonization parameter includes:
wherein the content of the first and second substances,
representing a central region of flame of a first image of flameThe pixel mean value of each pixel point;
representing the pixel mean value of each pixel point in the flame central area of the second flame image;
representing the pixel mean value of each pixel point in the flame peripheral area of the first flame image;
representing the pixel mean value of each pixel point in the flame peripheral area of the first flame image; α represents a similarity influence factor of the flame center region; β represents a similarity influence factor of the flame peripheral region; e =2.718; q 1 A first flame intensity, L, representing spectral information of the first flame 1 A first flame amplitude representing first flame spectral information; q 2 A second flame intensity representing second flame spectral information; l is 2 A second flame amplitude representing second flame spectral information; the symbol | | | represents taking the absolute value.
Selecting the areas of the flame central areas of the first flame image and the second flame image to be the same; selecting the areas of the flame peripheral areas of the first flame image and the second flame image to be the same; the flame central area is positioned at the central position of the flame, and the flame peripheral area is positioned at the outer peripheral side of the flame central area.
Wherein the content of the first and second substances,
and
the calculation method is as follows:
wherein the content of the first and second substances,
representing the pixel mean value of each pixel point in the flame central area of the first flame image; m is 1 Representing the total row number of pixel points in the flame center area of the first flame image; n is 1 The total column number of pixel points in the flame center region of the first flame image; f. of 1 (x, y) represents the pixel value of the pixel with the coordinate (x, y) in the flame center area of the first flame image.
Wherein the content of the first and second substances,
representing the pixel mean value of each pixel point in the flame central area of the second flame image; m is 2 Representing the total row number of pixel points in the flame center area of the second flame image; n is 2 The total column number of pixels in the flame center area of the second flame image; f. of 2 (x, y) represents the pixel value of the pixel with the coordinate (x, y) in the flame center area of the second flame image.
Wherein, the first and the second end of the pipe are connected with each other,
representing the pixel mean value of each pixel point in the flame peripheral area of the first flame image; m is a unit of 3 Representing the total number of rows of pixel points in the flame peripheral area of the first flame image; n is 3 The total column number of pixel points in the flame peripheral area of the first flame image; f. of 3 (x, y) represents the pixel value of the pixel with the coordinate (x, y) in the flame peripheral region of the first flame image.
Wherein the content of the first and second substances,
representing the pixel mean value of each pixel point in the flame peripheral area of the second flame image; m is 4 Representing the total number of rows of pixel points in the flame peripheral area of the second flame image; n is a radical of an alkyl radical 4 The total column number of pixel points in the flame peripheral area of the second flame image; f. of 4 And (x, y) represents the pixel value of the pixel with the coordinate (x, y) in the flame peripheral area of the second flame image.
Example two
As shown in fig. 4, the present application further provides a system 100 for monitoring carbonization based on household garbage, the system comprising:
the carbonization furnace working condition monitoring module 10 is used for monitoring the working conditions of the carbonization furnace in real time in the process of carbonizing the household garbage;
the data acquisition module 20 is used for acquiring first carbonization data in a carbonization area in the process of carbonizing the household garbage in real time under the condition that the working conditions of the carbonization furnace meet the preset standard conditions;
and the stability monitoring module 30 is used for monitoring the stability of the household garbage carbonization according to the first carbonization data.
Further comprising: and the flue gas monitoring module 60 is used for monitoring whether the purified flue gas meets the emission standard in real time.
The data acquisition module 20 is also used for acquiring SO in the purified flue gas 2 Gas content.
A neutralizer dosage control module 50 for collecting and purifying SO in the flue gas 2 Gas content vs. SO neutralization in purification 2 The amount of neutralizing agent in the gas is controlled.
And the household garbage category identification model 40 is used for judging the category of the household garbage in the carbonization furnace according to the first carbonization data.
The stability detection module 30 includes:
the acquisition module 31 is used for continuously acquiring a plurality of first flame images within a period of time;
a calculating module 32, configured to calculate a flame stability value according to the plurality of first flame images;
and the comparison module 33 is configured to compare the calculated flame stability value with a preset threshold, and if the flame stability value is greater than the preset threshold, the domestic garbage is carbonized and unstable, otherwise, the domestic garbage is carbonized and stable.
The beneficial effect that this application realized is as follows:
(1) This application carries out innocent treatment to domestic waste, adopts the method of low temperature anaerobic pyrolysis carbonization for domestic waste carbonization, it produces more heat at the in-process of carbonization, with heat recovery, has practiced thrift the energy, and in addition, domestic waste produces less flue gas at the in-process of carbonization, contains less harmful substance in the flue gas, carries out purification treatment to the flue gas, prevents that domestic waste from causing the pollution to the environment.
(2) This application carries out real-time supervision to domestic waste carbonization's process, monitors domestic waste's carbonization condition to adjust the parameter of carbide furnace according to domestic waste's carbonization condition, with the carbonization efficiency and the carbonization complete degree that improve domestic waste, improve the rate of recovery of the energy.
(3) This application carries out real time monitoring to the flue gas after the purification treatment, prevents to still have harmful substance in the flue gas after the purification treatment, and then prevents to cause the pollution to the environment.
(4) The classification of domestic waste in the carbonization stove is judged according to the flame image and the flame spectral information among the domestic waste carbonization process to this application to the carbonization condition to in the carbonization stove is known.
The above description is only an embodiment of the present invention, and is not intended to limit the present invention. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement or the like made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (9)
1. A domestic garbage-based carbonization monitoring method is characterized by comprising the following steps:
in the process of domestic garbage carbonization treatment, the working condition of the carbonization furnace is monitored in real time;
acquiring first carbonization data in a carbonization area in the process of carbonizing the household garbage in real time under the condition that the working conditions of the carbonization furnace meet preset standard conditions;
monitoring the carbonization stability of the household garbage according to the first carbonization data;
inputting the collected first carbonization data into a pre-constructed household garbage category identification model to obtain the category of the household garbage in the carbonization furnace; a second carbonization parameter is stored in the pre-constructed household garbage category identification model;
wherein the first carbonization data includes: the method comprises the steps of obtaining first flame spectral information and a first flame image, wherein the first flame spectral information comprises flame intensity and flame amplitude; the second carbonization parameters include: second flame spectral information and a second flame image; the second flame spectral information includes a second flame intensity and a second flame amplitude; the second flame spectrum information and the second flame image correspond to standard household garbage categories;
calculating the similarity between the first carbonization data and the second carbonization parameters, and judging the carbonized household garbage category as the household garbage category corresponding to the second carbonization parameter with the maximum similarity according to the calculation result;
the method for calculating the similarity between the first carbonization data and the second carbonization parameter comprises the following steps:
wherein the content of the first and second substances,
representing the pixel mean value of each pixel point in the flame central area of the first flame image;
representing the pixel mean value of each pixel point in the flame central area of the second flame image;
representing the pixel mean value of each pixel point in the flame peripheral area of the first flame image;
representing the pixel mean value of each pixel point in the flame peripheral area of the second flame image; α represents a similarity influence factor of the flame center region; β represents a similarity influence factor of the flame peripheral region; e =2.718; q 1 A first flame intensity, L, representing spectral information of the first flame 1 A first flame amplitude representing first flame spectral information; q 2 A second flame intensity representing second flame spectral information; l is 2 A second flame amplitude representing second flame spectral information; the symbol | | | represents taking the absolute value.
2. The domestic waste-based carbonation monitoring method according to claim 1, wherein the operating conditions of the carbonation furnace are controlled to: the temperature is less than 230 ℃, the interior of the carbonization furnace is in an oxygen-free environment, and the carbonization furnace is in a sealed state.
3. The domestic waste based carbonation monitoring method according to claim 1, wherein the method of monitoring the stability of the carbonation of the domestic waste based on the first carbonation data comprises the sub-steps of:
a plurality of first flame images continuously collected within a preset time period;
calculating a flame stability value according to the plurality of first flame images;
and comparing the calculated flame stability value with a preset threshold value, wherein if the flame stability value is greater than the preset threshold value, the domestic garbage is not carbonized stably, and otherwise, the domestic garbage is carbonized stably.
4. The domestic waste based carbonation monitoring method according to claim 3, wherein the flame stability value is calculated by the formula:
wherein H represents the total number of the acquired first flame images, and H represents the number of the first flame images; u. u h Representing an area of a flame region in the first flame image; v h Representing an area of a non-flame region in the first flame image; p is h (x, y) represents the gray value of a pixel with the pixel point coordinate (x, y) of the h-th first flame image; p h+1 (x, y) represents the gray value of the pixel with the h +1 th first flame image pixel point coordinate being (x, y); d h(h+1) And representing the distance between the flame center point coordinate of the h-th first flame image and the flame center point coordinate of the h + 1-th first flame image.
5. The household garbage-based carbonization monitoring method as claimed in claim 4, wherein the flame center point coordinate (x) is 0 ,y 0 ) The calculation formula of (2) is as follows:
6. The household garbage-based carbonization monitoring method as claimed in claim 4, wherein the area u of the flame region in the first flame image h The calculation formula of (2) is as follows:
u h ＝B·C·I；
b represents the total column number of pixel points in the flame area of the first flame image; c represents the total number of rows of flame region pixel points of the first flame image, and I represents the area of a single pixel.
7. The domestic waste based carbonation monitoring method according to claim 1, further comprising: and purifying the flue gas discharged by the carbonization furnace after carbonization treatment, and monitoring whether the purified flue gas meets the emission standard in real time.
8. The domestic waste based carbonation monitoring method according to claim 7, wherein said neutralization of SO used in the purification process is performed 2 The dosage of the gas neutralizer is controlled by the following method:
detecting SO in flue gas after purification treatment 2 The content of gas;
according to detected SO 2 Content of (3), predetermined SO 2 Calculating the dosage regulating value of the neutralizer by using the gas emission standard value and the allowable deviation grade;
and adjusting the dosage of the neutralizing agent according to the dosage adjusting value of the neutralizing agent.
9. A domestic waste based carbonation monitoring system, the system comprising:
the carbonization furnace working condition monitoring module is used for monitoring the working condition of the carbonization furnace in real time in the process of carbonizing the household garbage;
the data acquisition module is used for acquiring first carbonization data in a carbonization area in the process of carbonizing the household garbage in real time under the condition that the working condition of the carbonization furnace meets the preset standard condition;
the stability monitoring module is used for monitoring the stability of the household garbage carbonization according to the first carbonization data;
the category judgment module is used for inputting the collected first carbonization data into a pre-constructed household garbage category identification model to obtain the category of the household garbage in the carbonization furnace; a second carbonization parameter is stored in the pre-constructed household garbage category identification model;
wherein the first carbonization data includes: first flame spectral information and a first flame image, the first flame spectral information comprising flame intensity and flame amplitude; the second carbonization parameters include: second flame spectral information and a second flame image; the second flame spectral information includes a second flame intensity and a second flame amplitude; the second flame spectrum information and the second flame image correspond to standard household garbage categories;
calculating the similarity between the first carbonization data and the second carbonization parameters, and judging the carbonized household garbage category as the household garbage category corresponding to the second carbonization parameter with the maximum similarity according to the calculation result;
the method for calculating the similarity between the first carbonization data and the second carbonization parameter comprises the following steps:
wherein, the first and the second end of the pipe are connected with each other,
representing the pixel mean value of each pixel point in the flame central area of the first flame image;
representing the pixel mean value of each pixel point in the flame central area of the second flame image;
representing the pixel mean value of each pixel point in the flame peripheral area of the first flame image;
representing the pixel mean value of each pixel point in the flame peripheral area of the second flame image; α represents a similarity influence factor of the flame center region; β represents a similarity influence factor of the flame peripheral region; e =2.718; q 1 A first flame intensity, L, representing spectral information of the first flame 1 A first flame amplitude representing first flame spectral information; q 2 A second flame intensity representing second flame spectral information; l is 2 A second flame amplitude representing second flame spectral information; the symbol | | | represents taking the absolute value.
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