WO2023276423A1 - Dispositif de commande pour équipement d'incinérateur - Google Patents
Dispositif de commande pour équipement d'incinérateur Download PDFInfo
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- WO2023276423A1 WO2023276423A1 PCT/JP2022/018444 JP2022018444W WO2023276423A1 WO 2023276423 A1 WO2023276423 A1 WO 2023276423A1 JP 2022018444 W JP2022018444 W JP 2022018444W WO 2023276423 A1 WO2023276423 A1 WO 2023276423A1
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- incinerator
- image information
- control device
- feeder
- unit
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- 238000002485 combustion reaction Methods 0.000 claims description 73
- 239000000463 material Substances 0.000 claims description 26
- MWUXSHHQAYIFBG-UHFFFAOYSA-N nitrogen oxide Inorganic materials O=[N] MWUXSHHQAYIFBG-UHFFFAOYSA-N 0.000 claims description 21
- 238000001125 extrusion Methods 0.000 claims description 15
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 11
- 229910002091 carbon monoxide Inorganic materials 0.000 claims description 10
- 238000001035 drying Methods 0.000 claims description 3
- 230000032258 transport Effects 0.000 abstract 1
- 239000004449 solid propellant Substances 0.000 description 43
- 239000002699 waste material Substances 0.000 description 24
- 238000001514 detection method Methods 0.000 description 21
- 238000003384 imaging method Methods 0.000 description 16
- 238000010586 diagram Methods 0.000 description 14
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- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 3
- 230000001934 delay Effects 0.000 description 3
- 238000000034 method Methods 0.000 description 3
- 239000010813 municipal solid waste Substances 0.000 description 3
- 239000001301 oxygen Substances 0.000 description 3
- 229910052760 oxygen Inorganic materials 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000013528 artificial neural network Methods 0.000 description 2
- 239000002956 ash Substances 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000001816 cooling Methods 0.000 description 2
- 238000013135 deep learning Methods 0.000 description 2
- 238000001704 evaporation Methods 0.000 description 2
- 230000008020 evaporation Effects 0.000 description 2
- 239000000446 fuel Substances 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 239000002028 Biomass Substances 0.000 description 1
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- 238000013136 deep learning model Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 208000002173 dizziness Diseases 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000003546 flue gas Substances 0.000 description 1
- 239000010881 fly ash Substances 0.000 description 1
- 239000002440 industrial waste Substances 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 210000002569 neuron Anatomy 0.000 description 1
- 238000003909 pattern recognition Methods 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
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- 238000004549 pulsed laser deposition Methods 0.000 description 1
- 238000012887 quadratic function Methods 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
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- 239000004065 semiconductor Substances 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
Images
Classifications
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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
- F23G5/44—Details; Accessories
- F23G5/442—Waste feed arrangements
- F23G5/444—Waste feed arrangements for solid waste
-
- 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
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23G—CREMATION FURNACES; CONSUMING WASTE PRODUCTS BY COMBUSTION
- F23G2207/00—Control
- F23G2207/10—Arrangement of sensing devices
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23G—CREMATION FURNACES; CONSUMING WASTE PRODUCTS BY COMBUSTION
- F23G2207/00—Control
- F23G2207/20—Waste supply
-
- 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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E20/00—Combustion technologies with mitigation potential
- Y02E20/12—Heat utilisation in combustion or incineration of waste
Definitions
- the present disclosure relates to a controller for an incinerator installation.
- This application claims priority to Japanese Patent Application No. 2021-107370 filed in Japan on June 29, 2021, the contents of which are incorporated herein.
- Patent Document 1 discloses the following waste incinerator. That is, in the waste incinerator described in Patent Document 1, based on the difference image between the image of the waste before falling into the furnace and the image of the waste after falling into the furnace, the waste actually supplied to the furnace The amount of waste supplied is sensed. Further, in the waste incinerator described in Patent Document 1, when the current value of the waste supply amount is higher than the predetermined supply amount range, the waste supply speed is reduced to the dust collector and the waste is transferred to the grate. Decrease the amount of waste supplied to the grate by issuing a command to reduce the amount of waste supplied to the furnace, and a command to increase the amount of primary air for combustion to promote waste combustion and change the operating conditions. At the same time, control is performed to promote the combustion of waste on the grate and reduce the amount of waste on the grate.
- the present disclosure has been made to solve the above problems, and provides a control device for an incinerator facility that can improve control delays in response to changes in the supply amount of combustible materials such as waste. intended to
- an incinerator facility control device includes a furnace body for burning and conveying materials to be incinerated, and a feeder for supplying the materials to be incinerated to the furnace body.
- an image information acquisition unit for periodically acquiring image information including a receiving port of the furnace body connected to the end of the feeder;
- An image information recognition unit for recognizing whether or not the object to be incinerated protrudes from the furnace main body, and the fact that the object to be incinerated protrudes from the furnace main body continues for a predetermined period of time.
- a supply state determination unit that determines that there is a sign that the incinerator is excessively supplied to the furnace main body when the incineration material is recognized as being excessive.
- control device for the incinerator facility of the present disclosure it is possible to improve the control delay according to the change in the supply amount of the combustible material such as waste.
- FIG. 1 is a schematic diagram showing a configuration example of incinerator equipment according to an embodiment of the present disclosure
- FIG. 1 is a block diagram showing a configuration example of a control device according to an embodiment of the present disclosure
- FIG. FIG. 2 illustrates an example infrared image according to an embodiment of the present disclosure
- 4 is a flow chart showing an operation example of the control device according to the embodiment of the present disclosure
- FIG. 4 is a schematic diagram for explaining an operation example of the control device according to the embodiment of the present disclosure
- FIG. 4 is a schematic diagram for explaining an operation example of the control device according to the embodiment of the present disclosure
- FIG. 4 is a schematic diagram for explaining an operation example of the control device according to the embodiment of the present disclosure
- FIG. 4 is a schematic diagram for explaining an operation example of the control device according to the embodiment of the present disclosure
- FIG. 4 is a schematic diagram for explaining an operation example of the control device according to the embodiment of the present disclosure
- FIG. 1 is a schematic diagram showing a configuration example of
- FIG. 4 is a schematic diagram for explaining an operation example of the control device according to the embodiment of the present disclosure
- FIG. 4 is a schematic diagram for explaining an operation example of the control device according to the embodiment of the present disclosure
- 1 is a schematic block diagram showing the configuration of a computer according to an embodiment of the present disclosure
- FIG. 1 is a schematic diagram showing a configuration example of incinerator equipment according to an embodiment of the present disclosure.
- FIG. 2 is a block diagram illustrating a configuration example of a control device according to an embodiment of the present disclosure;
- FIG. 3 is a diagram illustrating an example of an infrared image according to an embodiment of the present disclosure;
- FIG. 4 is a flow chart showing an operation example of the control device according to the embodiment of the present disclosure.
- 5 to 9 are schematic diagrams for explaining an operation example of the control device according to the embodiment of the present disclosure.
- FIG. 10 is a schematic block diagram showing the configuration of a computer according to an embodiment of the present disclosure; In each figure, the same reference numerals are used for the same or corresponding configurations, and the description thereof will be omitted as appropriate.
- FIG. 1 shows a configuration example of an incinerator facility 100 according to an embodiment of the present disclosure.
- the incinerator installation 100 is a stoker-type refuse incinerator with solid fuel Fg such as municipal solid waste, industrial waste, or biomass.
- solid fuel Fg such as municipal solid waste, industrial waste, or biomass.
- the incinerator facility 100 is not limited to a stoker-type garbage incinerator.
- the incinerator facility 100 includes a hopper 102, a feeder section 104, a combustion chamber 108, an extrusion device 110 (dust supply device), an air supply device 112, a heat recovery boiler 114, and an attenuator. It includes a warm tower 116 , a dust collector 118 and a chimney 120 .
- the combustion chamber 108 is an example of a furnace body that burns and conveys the incinerator according to the present disclosure.
- the extrusion device 110 is an example of a feeder that supplies incinerators to the furnace body according to the present disclosure.
- the feeder portion 104 is a passageway extending toward the combustion chamber 108 .
- the feeder section 104 is configured such that the solid fuel Fg, which is a combustible material such as waste (garbage) thrown into the hopper 102, accumulates. Assuming that the direction in which the solid fuel Fg moves in the incinerator facility 100 is the movement direction W1, the downstream end 121 of the feeder section 104 on the downstream side in the movement direction W1 (the end of the feeder section 104 on the combustion chamber 108 side) is It connects with the inlet 122 of the combustion chamber 108 .
- the extrusion device 110 has an extrusion arm 124 for pushing out the solid fuel Fg accumulated in the feeder section 104 to the combustion chamber 108 through the inlet 122 .
- the pushing arm 124 is configured to be movable in the feeder section 104 from the upstream side to the downstream side in the moving direction W1 and from the downstream side to the upstream side. That is, the pushing arm 124 reciprocates in the feeder section 104 along the extending direction (horizontal direction) of the feeder section 104 .
- the combustion chamber 108 includes a grate 126 (stoker) onto which the solid fuel Fg pushed into the combustion chamber 108 via the inlet 122 falls.
- This grate 126 corresponds to the floor of the combustion chamber 108 .
- the grate 126 is configured to move the solid fuel Fg on the grate 126 away from the inlet 122 (from the upstream side to the downstream side in the movement direction W1).
- Combustion chamber 108 also includes a drying zone 128, a combustion zone 130, and a post-combustion zone 132, which are arranged in order from upstream to downstream in movement direction W1.
- the drying zone 128 dries the solid fuel Fg with heat within the combustion chamber 108 .
- Combustion zone 130 raises flame 131 to burn solid fuel Fg.
- the post-combustion zone 132 completely burns the burnt-out that was not burned out in the combustion zone 130 .
- the solid fuel Fg dried, burned, and post-burned in the combustion chamber 108 becomes ash 135 and discharged outside the incinerator facility 100 .
- the air supply device 112 supplies primary air used for burning the solid fuel Fg and secondary air used for reducing the concentration of unburned gas such as carbon monoxide generated by burning the solid fuel Fg to the combustion chamber 108 .
- the air supply device 112 includes an air supply tube 136 and a blower 138 mounted on the air supply tube 136 .
- a portion of the air flowing through the air supply pipe 136 is supplied as primary air from the fire grate 126 to the lower portion of the combustion chamber 108 via the first flow control valve 140, and the remaining portion is supplied as secondary air.
- the fuel is supplied from the side wall of the combustion chamber 108 to the upper portion of the combustion chamber 108 via the second flow control valve 142 .
- the air supply device 112 functions as a secondary air supply device that supplies secondary air to the upper portion of the combustion chamber 108 . It should be noted that in the exemplary configuration shown in FIG. 1, primary air is provided to each of the dry zone 128, the combustion zone 130, and the post-combustion zone 132 of the combustion chamber 108. As shown in FIG. 1,
- Each of the heat recovery boiler 114, the cooling tower 116, the dust collector 118, and the chimney 120 is provided in the flue 144 of the incinerator facility 100 through which the exhaust gas 143 produced by burning the solid fuel Fg flows.
- the exhaust gas 143 flows through the heat recovery boiler 114, the cooling tower 116, the dust collector 118, and the stack 120 in this order.
- the heat recovery boiler 114 produces steam from the thermal energy of the exhaust gas 143 .
- the temperature reducing tower 116 lowers the temperature of the exhaust gas 143 that has passed through the heat recovery boiler 114 .
- the dust collector 118 collects fly ash contained in the flue gas 143 that has passed through the temperature reducing tower 116 .
- the chimney 120 discharges the exhaust gas 143 that has passed through the dust collector 118 to the outside of the incinerator facility 100 .
- the steam generated by the heat recovery boiler 114 may be configured to be supplied to a steam turbine (not shown).
- the control device 4 applied to the incinerator facility 100 described above is a control device of the incinerator facility 100 having a combustion chamber 108 for burning and conveying the materials to be incinerated, and an extrusion device 110 for supplying the materials to be incinerated to the combustion chamber 108. It is a control device.
- the control device 4 has the following units as a functional configuration composed of a combination of a computer, hardware such as peripheral devices of the computer, and software such as programs executed by the computer.
- control device 4 includes an image information acquisition unit 41, an image information recognition unit 42, a supply state determination unit 43, a combustion air amount control unit 44, a feeder control unit 45, an excess supply detection unit 46, A protrusion amount detection unit 47 , a model learning unit 48 , and a storage unit 49 are provided.
- the storage unit 49 also stores a plurality of trained models 491 and a plurality of image information 492 .
- the image information acquisition unit 41 periodically acquires image information including an image signal representing a feeder vicinity area, which is an area including the feeder unit 104 and the like photographed by the imaging device 2 .
- the image information includes an image signal representing a captured image, information representing the date and time when the image signal was captured, information representing the total stroke length of the pushing arm 124 at the time of shooting (total pushing length of the feeder), and the like. may contain.
- the total stroke length of the push arm 124 is the total length of the push arm 124 moved from upstream to downstream in the W1 direction, starting from the time when an excessive supply of incinerators (also called "dumping") occurs. is.
- the feeder vicinity area is, for example, an area including the front surface Fr of the solid fuel Fg as a target area.
- the imaging device 2 is configured to capture an infrared image (thermal image) of the solid fuel Fg deposited in the feeder section 104 of the incinerator facility 100 before it falls into the combustion chamber 108. ing. An infrared image of the solid fuel Fg captured by the imaging device 2 is sent to the control device 4 in real time. In the exemplary form shown in FIG. 1, the imaging device 2 captures an infrared image of the front surface Fr facing the combustion chamber 108 among the surfaces of the solid fuel Fg before falling into the combustion chamber 108. It is provided at the bottom 145 of the combustion chamber 108 located downstream of the post-combustion region 132 of the combustion chamber 108 in the movement direction W1.
- the imaging device 2 can capture an infrared image of the front surface Fr of the solid fuel Fg protruding from the inlet 122 of the combustion chamber 108 .
- the imaging device 2 may be provided at a location other than the furnace bottom 145 of the combustion chamber 108 as long as the infrared image of the front surface Fr of the solid fuel Fg can be captured.
- the imaging device 2 is, for example, an infrared camera, and detects infrared rays in a predetermined wavelength range with little radiation from the flame 131 .
- the range of the predetermined wavelength band is, for example, 2 ⁇ m or more and 5 ⁇ m or less.
- the predetermined wavelength range is 3.8 ⁇ m or more and 4.2 ⁇ m or less.
- the target wavelength range for imaging as an infrared image is 0.8 ⁇ m to 1000 ⁇ m. By passing this wavelength band through a band-pass filter or the like, it is possible to use only a part of the wavelengths as necessary.
- imaging device 2 is not limited to an infrared camera as long as it can capture an infrared image of the front surface Fr of the solid fuel Fg beyond the flame 131 .
- imaging device 2 includes a visible light camera and a filter device that limits transmitted wavelengths incident on the visible light camera to a predetermined wavelength band.
- the image information recognition unit 42 recognizes whether or not the solid fuel Fg in the feeder vicinity area protrudes from the combustion chamber 108 based on the image information acquired by the image information acquisition unit 41 .
- the image information recognition unit 42 uses the learned model 491 to recognize whether or not the solid fuel Fg in the feeder vicinity region protrudes from the combustion chamber 108 .
- the image information recognition unit 42 recognizes whether or not the solid fuel Fg protrudes from the combustion chamber 108 for each divided area obtained by dividing the feeder vicinity area into a plurality of areas. In this case, the learned model 491 is learned for each divided region.
- the learned model 491 is, for example, a deep learning model, and is a model that has been learned in advance by supervised learning with at least image information as an explanatory variable and presence/absence of protrusion of the solid fuel Fg and poor visibility as objective variables. be.
- the learned model 491 for example, inputs at least image information as an explanatory variable, and outputs the presence or absence of protrusion of the solid fuel Fg and poor visibility as objective variables.
- the trained model 491 has, for example, a neural network as an element, and weighting coefficients between neurons in each layer of the neural network are optimized by machine learning so that desired solutions are output for a large amount of input data.
- the trained model 491 is composed of, for example, a combination of a program for performing calculations from input to output and weighting coefficients (parameters) used for the calculations. Also, the learned model 491 is learned for each divided area obtained by dividing the infrared image captured by the imaging device 2 into arbitrary areas, for example.
- FIG. 3 shows an example of an infrared image 201 captured by the imaging device 2.
- the image information recognition unit 42 divides the infrared image 201 into three regions, the left region RL, the central region RC, and the right region RR, in a direction orthogonal to the movement direction W1 (the X1 direction), and divides each divided region into , with or without protrusion, or with poor visibility.
- the center region RC is classified as having protrusion
- the left region RL and right region RR are classified as having no protrusion.
- poor visibility corresponds to, for example, an image captured when ash or the like is interposed between the imaging device 2 and the feeder vicinity area.
- the solid fuel Fg is evenly pushed by the extruder 110, but does not drop uniformly into the furnace due to entanglement of dust.
- the dust at the back may get entangled and fall together, and the surface of the dust is not uniform. Therefore, multiple attention areas are provided.
- the learned model 491 can be a determination model based on deep learning that classifies each divided region into whether the dust sticks out, does not, or has poor visibility based on the image information. Driving data may also be used as an explanatory variable for learning.
- the image information may be the image information 492 during actual driving, or may be the past image information 492 .
- the supply state determination unit 43 determines that the solid fuel Fg is excessively supplied to the combustion chamber 108 ( It is determined that there is an omen. Further, when the supply state determination unit 43 continuously recognizes that the solid fuel Fg protrudes from the combustion chamber 108 at least in a plurality of divided regions for a predetermined time, the solid fuel Fg is combusted. It is determined that there is a sign of excessive supply to the chamber 108 . Furthermore, the image information recognizing unit 42 uses a learned model 491 that uses at least the image information as an explanatory variable, and obtains whether or not the solid fuel Fg protrudes, and low visibility as objective variables.
- the supply state determination unit 43 determines as follows. That is, the supply state determination unit 43 continuously recognizes at least that the solid fuel Fg protrudes from the combustion chamber 108 for a predetermined period of time, and the pushing device 110 is pushing the solid fuel Fg. If there is, it is determined that there is an indication that the solid fuel Fg will be excessively supplied to the combustion chamber 108 .
- the supply state determination unit 43 determines whether or not all of the following conditions are satisfied in the predictive determination of a slowdown.
- Condition 1 From the image information divided into 3, there are 2 or more of the 3 divisions with protrusions.
- Condition 2) Occurs continuously for 5 seconds.
- the detection time is, for example, continued for a predetermined time (for example, 60 seconds). This detection time is a standby time until the next predictive determination is performed after the conditions for the predictive determination are met, if a drop (oversupply) does not actually occur. After the conditions for predictive judgment are established, when a drop in supply (oversupply) actually occurs, the next predictive judgment can be performed immediately.
- the predetermined time can be adjusted, for example, according to the average pressing time of one time.
- the supply state determination unit 43 continuously recognizes that the solid fuel Fg protrudes from the combustion chamber 108 for a predetermined period of time, length) is equal to or greater than a predetermined threshold value, it is determined that there is a sign that the solid fuel Fg will be excessively supplied to the combustion chamber 108 .
- FIG. 5 shows an example of overfeed occurrence probability based on the total stroke length of the extruder 110 .
- FIG. 5 shows an example of the drop occurrence probability with respect to the total stroke length, with the horizontal axis representing the total stroke length and the vertical axis representing the drop occurrence probability. In the example shown in FIG.
- the supply state determination unit 43 determines that the probability of occurrence of excessive supply based on the total stroke length of the extrusion device 110 is less than a predetermined threshold value (for example, 70%) even when all the conditions for the sign determination described above are satisfied. Occasionally, it determines that there are no signs of oversupply.
- the probability of occurrence of oversupply can be approximated by a quadratic function with the total stroke length as a parameter, or can be obtained using a map that defines the correspondence relationship between the total stroke length and the probability of occurrence of oversupply. In the confirmation with the actual machine of the present embodiment, it was not always the case that the dropout occurred after the sign was detected. Therefore, as shown in FIG. 5, the probability of occurrence of a thumping drop with respect to the total stroke length of the feeder is calculated, and this occurrence probability is also used for the prediction judgment, thereby further improving the accuracy of the prediction judgment.
- a predetermined threshold value for example, 70%
- the threshold for the probability of oversupply occurrence may be changed, for example, by the supply state determination unit 43 according to the operating conditions, for example, every predetermined time during operation. Since the probability of occurrence of dizziness changes depending on the quality of dust (dryness, shape, hardness, etc.), the threshold value is changed automatically or manually based on the actual values of detection rate and correct answer rate (wrong answer rate), for example. be able to. Control for suppressing the generation of carbon monoxide at the time of sign detection, which will be described later, is performed, for example, by increasing the supply of secondary air before the drop occurs at the time of sign detection.
- the threshold value may be changed according to the actual driving conditions by balancing the demand for carbon monoxide reduction and the increased risk of nitrogen oxide generation.
- the information indicating the operating conditions is not limited to the information indicating the amount of carbon monoxide generated and the information indicating the amount of nitrogen oxides generated, and includes, for example, information indicating the type of waste, temperature, humidity, and the like. good too.
- the threshold for the probability of oversupply occurrence changes based on information related to the actual combustion state of the incinerator, including at least information indicating the amount of carbon monoxide generated and information indicating the amount of nitrogen oxides generated. is the value to be set.
- the threshold value in this manner, for example, the upper limit value for the amount of carbon monoxide generated and the upper limit value for the amount of nitrogen oxides generated can be controlled with high accuracy.
- FIG. 6 shows the relationship between the false response rate and the detection rate for predictive judgment when the threshold is changed when the predictive judgment based on image recognition and the comparison of the oversupply occurrence probability based on the total stroke length and the threshold are combined. show.
- the wrong answer rate is the ratio of the number of times that no thunder occurs with respect to the total number of predictive judgments.
- the detection rate is the ratio of the number of times the occurrence was predicted to the number of times the drop occurred.
- the combustion air amount control unit 44 controls the air supply device 112 so as to change the supply amount of combustion air based on the determination result of the sign of oversupply by the supply state determination unit 43 .
- This control for example, it is possible to suppress a rapid increase in carbon monoxide that occurs when a sudden drop occurs.
- the combustion air amount control unit 44 performs control to increase the supply amount of the secondary combustion air, thereby reducing oxygen in the furnace. Concentration can be increased. This makes it possible to suppress a rapid increase in the CO concentration.
- the feeder control unit 45 changes at least one of the operating speed and stroke of the extrusion device 110 based on the determination result of the sign of oversupply by the supply state determination unit 43 . For example, when the supply state determination unit 43 determines that there is a sign of oversupply, the feeder control unit 45 slows down the operation speed of the extrusion device 110 and shortens the stroke (moving stroke of the extrusion arm 124). Extruder 110 is controlled as follows. With this control, it is possible to buy (postpone) the time until the next thump occurs, and even if the thump occurs, it is not necessary to stop the dust supply device, so the fuel supply can be continued, and the amount of evaporation is reduced. It becomes possible to suppress the decrease.
- Both the control by the combustion air amount control unit 44 and the control by the feeder control unit 45 may be performed, or only one of them may be performed.
- the control by the combustion air amount control unit 44 and the control by the feeder control unit 45 when it is determined that there is a sign of oversupply is referred to as sign control.
- the oversupply detection unit 46 detects the occurrence of oversupply by monitoring the brightness of the infrared image of the front surface Fr of the solid fuel Fg based on the plurality of infrared images acquired by the image information acquisition unit 41 .
- FIG. 7 is a graph showing the brightness of the infrared image of the front face Fr of the solid fuel Fg before falling into the combustion chamber 108, where the vertical axis represents brightness and the horizontal axis represents time.
- t1 and t2 are the times when the oversupply actually occurred. As shown in FIG. 7, at times t1 and t2 when oversupply actually occurs, the brightness of the infrared image of the front surface Fr of the solid fuel Fg is significantly reduced.
- the excessive supply detection unit 46 detects the occurrence of excessive supply, it instructs the extrusion device 110 to stop the operation of the extrusion arm 124 via the feeder control unit 45 .
- the extrusion device 110 stops the operation of the extrusion arm 124 upon receiving the instruction from the feeder control unit 45 . As a result, the supply of solid fuel Fg to combustion chamber 108 is stopped.
- the secondary air supply device 112 (secondary air supply device) supplies the secondary air to the combustion chamber 108 via the combustion air amount control unit 44 . Increase air volume.
- the protrusion amount detection unit 47 detects the protrusion length Lr of the solid fuel Fg that protrudes from the inlet 122 of the combustion chamber 108 toward the combustion chamber 108, as shown in FIG. In the exemplary embodiment shown in FIG. 8, the protrusion amount detection unit 47 detects a portion Fr1 located on the most downstream side of the front surface Fr of the front surface Fr of the combustion chamber 108 and the inlet 122 of the combustion chamber 108 in the moving direction W1. The size is detected as the protrusion length Lr.
- the protrusion amount detection unit 47 detects, for example, the protrusion length Lr for each divided area based on the imaging information of the protrusion amount detection imaging device 28 capable of photographing the solid fuel Fg from above.
- the model learning unit 48 performs image processing such as pattern recognition for each divided area on the infrared image acquired by the image information acquiring unit 41, recognizes whether or not visibility is poor, and determines whether visibility is poor. Then, the divided area is classified as poor visibility. In addition, when the infrared image acquired by the image information acquisition unit 41 is not recognized as having poor visibility, the model learning unit 48 calculates the following for each divided region based on the protrusion length Lr detected by the protrusion amount detection unit 47. Then, the partial area is classified as having protrusion or without protrusion. Then, the model learning unit 48 saves the recognition result as image information 492 , and re-learns the trained model 491 using the image information 492 when, for example, a predetermined amount of image information 492 is accumulated.
- image processing such as pattern recognition for each divided area on the infrared image acquired by the image information acquisition unit 41, recognizes whether or not visibility is poor, and determines whether visibility is poor. Then, the divided area is classified as
- the control device 4 determines whether or not the predictive time control is being performed (S1). If the predictive time control is not being performed (S1: NO), the image information acquisition unit 41 acquires image information by photographing the inside of the furnace with the imaging device 2 (infrared camera) (S2). Next, the image information recognition unit 42 divides the image of the feeder vicinity area into meshes (S3). Next, the image information recognizing unit 42 determines whether or not there is protrusion or poor visibility for each divided area using a deep learning determination model (S4). Next, the supply state determination unit 43 performs a drop sign determination (S5).
- the supply state determination unit 43 determines that there is a sign if all of the above-described (conditions 1) to (conditions 3) are satisfied (S5: Yes), and determines that there is no sign if any one of them is not satisfied ( S5: No). When it is determined that there is a sign (S5: Yes), the supply state determination unit 43 determines whether or not the drop occurrence probability based on the total stroke length is equal to or greater than a predetermined threshold (S6). If it is equal to or greater than the threshold value (S6: Yes), the combustion air amount control unit 44 and the feeder control unit 45 start the predictive time control (S7). Next, the control device 4 determines whether or not a condition for ending the predictive time control is satisfied (S8).
- the end condition of the predictive time control is, for example, when the excessive supply detection unit 46 detects that a slowdown has actually occurred, or when the slowdown does not occur after the start of the predictive time control and a predetermined duration (for example, 60 seconds) ) has passed. If the end condition for the control at the time of indication is satisfied (S8: Yes), the control device 4 terminates the control at the time of indication and shifts to control for actual sluggishness, or simply ends the control at the time of indication (S9).
- the control device 4 determines whether or not the conditions for ending the predictive time control are satisfied (S8). Further, if the predictive time control is ended (S9), if the predictive sign determination is that there is no predictive sign (S5: No), if it is not equal to or greater than the threshold (S6: No), or the end condition of the predictive time control is not satisfied. If so (S8: No), the control device 4 terminates the processing shown in FIG.
- FIG. 9 shows an example of an operation pattern when a sign detection is established.
- the T1 time is, for example, 5 seconds
- the T2 time is, for example, 60 seconds.
- the feeding of the feeder is started, and at time t12, the conditions 1 and 3 and the threshold determination are established. Further, when T1 time has passed, the sign is detected at time t13, and the time until the time t14 when the drop occurs.
- predictive time control is performed.
- the feeding of the feeder is started, and at time t22, conditions 1 and 3 and the threshold determination are established. Further, when T1 time elapses, an omen is detected at time t23, and until time t25 when the thunder occurs.
- predictive time control is performed.
- the feeder has moved backward from being pushed.
- the feeding of the feeder is started, and at time t22, the conditions 1 and 3 and the threshold determination are established, and when T1 time elapses, a sign is detected at time t23, and until the time t32 when the drop occurs.
- predictive time control is performed. In this case, at time t24, the feeder has moved backward from being pushed. Also, at time t31, the feeder is stopped.
- reaction/effect As described above, according to the present embodiment, it is possible to improve control delays in response to changes in the supply amount of combustible materials such as wastes, such as excessive supply.
- the trained model 491 is used to perform image recognition processing, but the present invention is not limited to this. You can
- the combustion air amount control unit 44 opens the OFA (Over Fire Air) in advance to eliminate the lack of air and prevent an increase in the CO concentration. Therefore, the damper opening of the post-combustion region 132 may be minimized.
- the feeder control unit 45 detects a sign during a drop target, the stoker speed is reduced to gain time until the next occurrence, thereby suppressing fluctuations in the amount of evaporation due to continuous drop. good.
- FIG. 10 is a schematic block diagram showing the configuration of a computer according to at least one embodiment;
- Computer 90 comprises processor 91 , main memory 92 , storage 93 and interface 94 .
- the control device 4 described above is implemented in the computer 90 .
- the operation of each processing unit described above is stored in the storage 93 in the form of a program.
- the processor 91 reads out the program from the storage 93, develops it in the main memory 92, and executes the above processes according to the program.
- the processor 91 secures storage areas corresponding to the storage units described above in the main memory 92 according to the program.
- the program may be for realizing part of the functions to be exhibited by the computer 90.
- the program may function in combination with another program already stored in the storage or in combination with another program installed in another device.
- the computer may include a custom LSI (Large Scale Integrated Circuit) such as a PLD (Programmable Logic Device) in addition to or instead of the above configuration.
- PLDs include PAL (Programmable Array Logic), GAL (Generic Array Logic), CPLD (Complex Programmable Logic Device), and FPGA (Field Programmable Gate Array).
- part or all of the functions implemented by the processor may be implemented by the integrated circuit.
- Examples of the storage 93 include HDD (Hard Disk Drive), SSD (Solid State Drive), magnetic disk, magneto-optical disk, CD-ROM (Compact Disc Read Only Memory), DVD-ROM (Digital Versatile Disc Read Only Memory) , semiconductor memory, and the like.
- the storage 93 may be an internal medium directly connected to the bus of the computer 90, or an external medium connected to the computer 90 via an interface 94 or communication line. Further, when this program is distributed to the computer 90 via a communication line, the computer 90 receiving the distribution may develop the program in the main memory 92 and execute the above process.
- storage 93 is a non-transitory, tangible storage medium.
- control device 4 of the incinerator facility described in each embodiment is grasped, for example, as follows.
- a control device 4 for an incinerator facility is an incinerator facility having a furnace body for burning and conveying materials to be incinerated, and a feeder for supplying the materials to be incinerated to the furnace body.
- An image information acquiring unit 41 which is a control device and which periodically acquires image information including a receiving port 122 of the furnace body connected to the end of the feeder, and the receiving port 122 based on the image information.
- an image information recognition unit 42 for recognizing whether or not the object to be incinerated protrudes from the furnace body, and a predetermined state that the object to be incinerated protrudes from the furnace body.
- the control device 4 for the incinerator equipment according to the second aspect is the control device 4 for the incinerator equipment according to the aspect (1) above, and the image information acquisition unit 41 includes the reception port 122 and The image information may be acquired including at least a portion of the inner wall of the dry area.
- the control device 4 for incinerator equipment according to the third aspect is the control device 4 for incinerator equipment according to the aspect (1) or (2) above, and the supply state determination unit 43 includes the When it is continuously recognized for a predetermined time that the incinerator protrudes from the furnace main body, and the probability of occurrence of excess supply based on the total extrusion length of the feeder is equal to or greater than a predetermined threshold, It may be determined that there is a sign that the incinerator body will be oversupplied with the incinerator body.
- a control device 4 for an incinerator facility according to a fourth aspect is the control device 4 for an incinerator facility according to the aspect (3) above, wherein the threshold is information indicating the amount of carbon monoxide generated. and information indicating the amount of nitrogen oxides generated.
- a control device 4 for incinerator equipment is the control device 4 for incinerator equipment according to aspects (1) to (4) above, wherein the image information recognition unit 42 includes the For each divided area obtained by dividing the receiving port 122 into a plurality of areas, it is recognized whether or not the incinerated material protrudes from the furnace main body. When it is continuously recognized for a predetermined period of time that the incinerator protrudes from the furnace main body in the divided area, it is a sign that the incinerator is excessively supplied to the furnace main body. It may be determined that there is
- the control device 4 for incinerator equipment according to a sixth aspect is the control device 4 for incinerator equipment according to aspects (1) to (5) above, wherein the image information recognition unit 42 includes at least Using a trained model 491 that uses the image information as an explanatory variable and determines whether or not the object to be incinerated protrudes, as well as poor visibility as objective variables, it is determined whether or not the object to be incinerated protrudes.
- the supply state determination unit 43 continuously recognizes that at least the incineration material protrudes from the furnace main body for a predetermined period of time, and the feeder keeps the incineration material protruding from the furnace main body. When the incinerator is being pushed in, it may be determined that there is a sign that the incinerator body will be oversupplied with the incinerator body.
- a control device 4 for an incinerator facility according to a seventh aspect is the control device 4 for an incinerator facility according to the above aspects (1) to (6), wherein the determination result of the sign of oversupply or a feeder control unit that changes at least one of the operating speed and stroke of the feeder based on the determination result of the oversupply sign. may be further provided.
- control device for the incinerator facility of the present disclosure it is possible to improve the control delay according to the change in the supply amount of the combustible material such as waste.
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Environmental & Geological Engineering (AREA)
- Incineration Of Waste (AREA)
- Centrifugal Separators (AREA)
Abstract
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JP2014126321A (ja) * | 2012-12-27 | 2014-07-07 | Kobe Steel Ltd | ごみ処理炉ホッパ内のごみ体積の推定方法 |
JP2017187228A (ja) * | 2016-04-06 | 2017-10-12 | 日立造船株式会社 | ストーカ式焼却炉 |
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JP7059955B2 (ja) | 2019-02-08 | 2022-04-26 | Jfeエンジニアリング株式会社 | 廃棄物供給量測定装置及び方法そして廃棄物焼却装置及び方法 |
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JP2014126321A (ja) * | 2012-12-27 | 2014-07-07 | Kobe Steel Ltd | ごみ処理炉ホッパ内のごみ体積の推定方法 |
JP2017187228A (ja) * | 2016-04-06 | 2017-10-12 | 日立造船株式会社 | ストーカ式焼却炉 |
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