JP2021179286A - Information processing device, information processing method, measurement device and measurement method for waste supply speed, position measurement device and measurement method for burning-out point, combustion control device and combustion control method - Google Patents

Abstract

To appropriately acquire information for deriving fuel supply speed of waste onto a fire grate in a fire grate incinerator or a burning-out point of waste on the fire grate.SOLUTION: An information processing device includes a control section that acquires image data generated from thermal image information in which a region including waste in a waste incinerator with a fire grate moving the waste is imaged and applies image processing to the image data. The control section acquires and stores the captured image data in a storage section, identifies a boundary between a waste presence region and a region excluding the waste in the waste incinerator relative to the image data read out from the storage section, generates a boundary line defining at least a part of the boundary, and generates processed image data including the boundary line. The control section inputs the image data to a boundary identification learning model, and outputs the processed image data in which the boundary line is generated relative to the image data as an output parameter.SELECTED DRAWING: Figure 1

Description

The present invention relates to an information processing device, an information processing method, a waste supply rate measuring device and a measuring method, a combustion cutoff position measuring device and a measuring method, and a combustion control device and a combustion control method.

Conventionally, various demands have been made in the field of waste treatment in order to realize a low-carbon society and a sound-cycle society. Incinerators that incinerate waste are required not only to efficiently recover heat from combustion exhaust gas, but also to suppress harmful substances such _{as dioxins and nitrogen oxides (NO x) released into the atmosphere.} .. Therefore, in order to stabilize the combustion of waste, which is waste in the incinerator, a method of detecting the amount of fuel transferred in the incinerator and estimating the amount of waste has been proposed (see Patent Documents 1 and 2). ).

Japanese Unexamined Patent Publication No. 2019-086255 Japanese Unexamined Patent Publication No. 2019-132485

In the above-mentioned prior art, in order to stably control a grate-type incinerator (hereinafter, grate incinerator), the speed at which fuel is supplied onto the grate in the grate incinerator (hereinafter, fuel supply). It is important to measure the speed) accurately. It is also important to accurately measure the burnout point of waste on the grate.

However, in the technique described in Patent Document 1 described above, it is possible to grasp the speed at which waste as fuel moves on the grate, but it is not possible to grasp the supply speed of waste or the like on the grate. .. Further, in the technique described in Patent Document 2, it was only possible to grasp the total amount of waste in the grate incinerator. Therefore, in the prior art, it is extremely difficult to derive the fuel supply rate on the grate and to measure the burnout point.

The present invention has been made in view of the above, and an object thereof is to derive a fuel supply rate of waste on a grate in a grate incinerator or a burnout point of waste on the grate. Provided are an information processing device, an information processing method, a waste supply speed measuring device and a measuring method, a combustion cutoff point position measuring device and a measuring method, and a combustion control device and a combustion control method capable of appropriately acquiring information for the purpose. There is something in it.

In order to solve the above-mentioned problems and achieve the object, the information processing apparatus according to one aspect of the present invention has an image of a region containing the waste in a waste incinerator provided with a grate for moving the waste. An information processing device including a control unit that acquires image data generated from the generated thermal image information and performs image processing on the image data, and the control unit acquires the captured image data. The image data read from the storage unit is stored in the storage unit, and the boundary between the area where the waste exists and the area other than the waste in the waste incinerator is identified. A boundary line that defines at least a part of the boundary line is generated, and processed image data including the boundary line is generated.

In the above invention, the information processing apparatus according to one aspect of the present invention is a boundary identification learning model in which the control unit acquires the image data from the storage unit as an input parameter and reads the image data from the storage unit. The processed image data in which the boundary line is generated for the image data is output as an output parameter, and the boundary identification learning model uses the image data as a learning input parameter for the image data. This is a learning model generated by machine learning using the processed image data on which the boundary line is drawn as an output parameter for training.

In the information processing apparatus according to one aspect of the present invention, in the above invention, the boundary line is generated at the boundary between the waste and the grate in the image data.

In the above invention, the information processing apparatus according to one aspect of the present invention includes a waste supply unit for supplying the waste with a step on the grate, and the boundary line is defined as the waste incinerator. , Generated at the boundary between the waste on the grate and the step to which the waste is supplied in the image data.

In the information processing apparatus according to one aspect of the present invention, in the above invention, the waste incinerator includes a furnace wall that regulates the spread of the waste, and the boundary line is the same as the waste in the image data. It is generated at the boundary with the furnace wall.

In the information processing apparatus according to one aspect of the present invention, in the above invention, the boundary line is generated at the outer edge of the waste in the image data.

The waste supply rate measuring device according to one aspect of the present invention acquires a plurality of processed image data obtained by the information processing device along the elapsed time, and supplies the waste into the waste incinerator. It is a waste supply speed measuring device provided with a calculation unit for calculating the above, and the calculation unit identifies the area where the waste exists in the waste incinerator based on the boundary line in the processed image data. Based on the height along the height direction of the existing area or the area of the existing area, the amount of the waste or the physical amount corresponding to the amount is calculated, and the amount of the waste or the physical amount corresponding to the amount is calculated. And the elapsed time, the supply rate of the waste is calculated.

The burn-off point position measuring device according to one aspect of the present invention is image data generated from thermal image information obtained by imaging a region containing the waste in a waste incinerator provided with a grate for moving the waste. The processed image data obtained by the information processing apparatus that performs image processing on the waste is acquired, and based on the boundary line generated at the boundary between the waste and the grate in the processed image data, the said The position of the burnout point of the waste on the grate is measured.

The combustion control device according to one aspect of the present invention includes the waste supply rate obtained from the waste supply rate measuring device and the waste on the grate obtained from the burnout point position measuring device. The feed rate of the waste supply device that obtains at least one of the burnout point positions and adjusts the waste supply rate based on at least one of the waste supply rate and the burnout point position. , And a combustion control unit that controls at least one of the grate feed speeds that adjust the moving speed of the waste on the grate.

In the above invention, the combustion control device according to one aspect of the present invention is the combustion control unit based on at least one of the supply speed of the waste and the position of the burnout point, and the amount of air for combustion and the secondary. Control at least one of the air volumes.

The information processing method according to one aspect of the present invention acquires image data generated from thermal image information in which a region containing the waste in a waste incinerator equipped with a grate for moving the waste is imaged. This is an information processing method executed by an information processing apparatus that performs image processing on the image data. The captured image data is acquired and stored in a storage unit, and the image data read from the storage unit is used. On the other hand, the boundary between the area where the waste exists in the waste incinerator and the area other than the waste is identified, and a boundary line defining at least a part of the boundary is generated to generate the boundary. Generates processed image data including lines.

In the information processing method according to one aspect of the present invention, in the above invention, the image data is acquired from the storage unit as an input parameter, the image data read from the storage unit is input to the boundary identification learning model, and the above is described. The processed image data in which the boundary line is generated for the image data is output as an output parameter, and the boundary identification learning model uses the image data as an input parameter for learning, and the boundary line is used for the image data. It is a learning model generated by machine learning using the drawn processed image data as an output parameter for training.

In the information processing method according to one aspect of the present invention, in the above invention, the boundary line is generated at the boundary between the waste and the grate in the image data.

In the information processing method according to one aspect of the present invention, in the above invention, the waste incinerator includes a waste supply unit for supplying the waste with a step on the grate, and the boundary line is defined as the boundary line. , Generated at the boundary between the waste on the grate and the step to which the waste is supplied in the image data.

In the information processing method according to one aspect of the present invention, in the above invention, the waste incinerator is provided with a furnace wall that regulates the spread of the waste, and the boundary line is the same as the waste in the image data. It is generated at the boundary with the furnace wall.

In the information processing method according to one aspect of the present invention, in the above invention, the boundary line is generated at the outer edge of the waste in the image data.

The method for measuring the waste supply rate according to one aspect of the present invention is to acquire a plurality of processed image data obtained by the information processing method along the elapsed time and supply the waste into the waste incinerator. This is a method for measuring the waste supply rate executed by the waste supply rate measuring device for calculating the above, and the area where the waste exists in the waste incinerator is specified based on the boundary line in the processed image data. , The amount of the waste or the physical amount corresponding to the amount is calculated based on the height along the height direction of the existing area or the area of the existing area, and corresponds to the amount of the waste or the amount. The supply rate of the waste is calculated based on the physical quantity and the elapsed time.

The method for measuring the position of the burn-off point according to one aspect of the present invention is obtained by the above-mentioned information processing method in which image processing is performed on image data generated from thermal image information obtained by imaging a region containing waste. The processed image data is acquired, the acquired processed image data is stored in a storage unit, and based on the boundary line generated at the boundary between the waste and the grate in the processed image data read from the storage unit. Then, the position of the burnout point of the waste on the grate is measured.

The combustion control method according to one aspect of the present invention is a combustion control method executed by a combustion control device including a combustion control unit that controls a waste incinerator, and the combustion control unit is described in claim 17. The waste supply rate obtained in a waste incinerator provided with a grate by the method for measuring the waste supply rate, and the waste on the grate obtained from the method for measuring the position of the burn-off point according to claim 18. A waste supply device that acquires at least one of the positions of the burnout point of an object and adjusts the supply rate of the waste based on at least one of the supply rate of the waste and the position of the burnout point. It controls at least one of the feed rate and the grate feed rate that regulates the rate of movement of the waste on the grate.

In the above-mentioned invention, the combustion control unit according to one aspect of the present invention is based on at least one of the supply speed of the waste and the position of the burnout point, and the amount of air for combustion and the second. Control at least one of the following air volumes.

According to the information processing device, the information processing method, the waste supply speed measuring device and the measuring method, the position measuring device and the measuring method of the burn cut point, and the combustion control device and the combustion control method according to the present invention, the grate incinerator. It is possible to properly acquire information for deriving the fuel supply rate of waste on the grate or the burnout point of waste on the grate.

FIG. 1 is an overall configuration diagram schematically showing an incinerator to which an information processing apparatus according to an embodiment of the present invention is applied. FIG. 2 is a side view showing the waste in the incinerator according to the embodiment of the present invention and the supply portion of the waste on the grate. FIG. 3 is a front view showing a waste supply portion in an incinerator according to an embodiment of the present invention. FIG. 4 is a block diagram showing a configuration of a combustion control device and an identification device according to an embodiment of the present invention. FIG. 5 is a flowchart for explaining an information processing method according to an embodiment of the present invention. FIG. 6 is a diagram showing an example of transmission image data of combustible waste captured by the imaging unit according to the embodiment of the present invention. FIG. 7 is a diagram showing an example of boundary image data in which a boundary line is generated with respect to the transmission image data captured by the imaging unit according to the embodiment of the present invention. FIG. 8 is a graph showing an example of time variation of the height of waste supplied on the grate in one embodiment of the present invention. FIG. 9 is a diagram showing a modified example of the boundary image data in which a boundary line is generated with respect to the transmission image data captured by the imaging unit according to the embodiment of the present invention.

Hereinafter, an embodiment of the present invention will be described with reference to the drawings. In all the drawings of the following embodiment, the same or corresponding parts are designated by the same reference numerals. Further, the present invention is not limited to one embodiment described below.

(Grate incinerator)
FIG. 1 shows a grate-type waste incinerator (hereinafter referred to as a grate incinerator) to which an information processing apparatus according to an embodiment of the present invention is applied. As shown in FIG. 1, a grate incinerator, which is a waste incinerator, includes a furnace 1 for burning waste, a waste inlet 2 for charging waste, and a boiler 9. The boiler 9 includes a heat exchanger 9a and a steam drum 9b installed on the downstream side of the furnace outlet 7 of the furnace 1.

The waste input from the waste input port 2 is conveyed to the grate 4 by the waste supply device 3. The reciprocating motion of the grate 4 causes the waste to be agitated and moved. The waste on the grate 4 is burned while being dried by blowing the combustion air supplied by the combustion air blower 6 into the air box below the grate 4, and exhaust gas and ash are generated. The generated ash falls through the ash drop port 5 and is discharged to the outside of the furnace 1.

The total amount of combustion air supplied from under the grate 4 to the inside of the furnace 1 is adjusted by the combustion air damper 14 provided in the immediate vicinity of the combustion air blower 6. The flow rate of the combustion air supplied to each air box is adjusted by the subgrate combustion air dampers 14a, 14b, 14c, 14d provided in the pipes that supply the combustion air to each air box. NS. In other words, the sub-grate combustion air dampers 14a to 14d adjust the ratio of the flow rate of the combustion air supplied to each air box. In FIG. 1, the bottom of the grate 4 is divided into four air boxes along the waste transport direction, and the combustion air is supplied through each air box. However, the combustion air under the grate is used. The number of dampers 14a to 14d and the number of air boxes is not necessarily limited to four, and can be appropriately changed according to the scale and purpose of the grate incinerator.

Secondary air is blown into the furnace 1 by the secondary air blower 11 from the secondary air injection port 10 provided in the furnace wall 1a. When the secondary air is blown into the furnace 1, the unburned components in the combustion gas are further burned, and the excessive rise in the temperature of the furnace wall is suppressed. The flow rate of the secondary air supplied from the secondary air injection port 10 into the furnace 1 is adjusted by the secondary air damper 15 provided in the immediate vicinity of the secondary air blower 11.

Along the direction of transporting the waste in the grate 4, the combustible gas generated in the waste drying process and the main combustion process on the upstream side and the combustion exhaust gas generated in the post-combustion process on the downstream side are the furnace of the furnace 1. It merges at the gas mixing section provided on the outlet 7 side. The combustible gas and the combustion exhaust gas merged in the gas mixing section are stirred and mixed again, and then secondary combustion is performed by supplying air for secondary combustion. The boiler 9 is installed on the downstream side along the waste transport direction with respect to the portion where the secondary combustion is performed (hereinafter, the secondary combustion portion). The combustion gas subjected to the secondary combustion is exhausted to the outside from the chimney 8 after the heat energy is recovered by the heat exchanger 9a of the boiler 9.

In the furnace 1, an intermediate ceiling 16 is provided at an upper position along the height direction of the furnace 1. The gas flowing in the furnace 1 is divided into a gas containing a large amount of combustible gas generated in the waste drying process and the main combustion process on the upstream side and a combustion exhaust gas generated in the post-combustion process on the downstream side by the intermediate ceiling 16. , Can be divided and discharged. Specifically, the combustion exhaust gas flows through the flue below the intermediate ceiling 16 (main flue), while the gas containing a large amount of combustible gas flows through the flue above the intermediate ceiling 16 (secondary flue). .. The merging of the combustion exhaust gas and the gas containing a large amount of combustible gas in the gas mixing section further promotes the stirring and mixing of the gas in the gas mixing section. As a result, the combustion in the secondary combustion section becomes more stable, the generation of dioxins in the combustion process can be suppressed, and the generation of unburned waste can be suppressed. The intermediate ceiling 16 may not be provided in the furnace 1.

Thermometers as sensors for measuring the gas temperature in the furnace 1 are provided at a plurality of positions in the furnace 1. Specifically, a combustion chamber gas thermometer 17 is provided at an intermediate position between the grate 4 and the secondary air injection port 10 along the height direction of the furnace 1. A main flue gas thermometer 18 is provided at a position below the furnace outlet 7 along the height direction of the furnace 1. A furnace outlet lower gas thermometer 19 is provided at a lower position of the furnace outlet 7 along the height direction of the furnace 1. A furnace outlet middle gas thermometer 20 is provided at a position in the middle of the furnace outlet 7 along the height direction of the furnace 1. A furnace outlet gas thermometer 21 for measuring the combustion control temperature is provided at a position on the downstream side of the furnace outlet 7 along the height direction of the furnace 1. The measured values of the temperature measured by the combustion chamber gas thermometer 17, the main flue gas thermometer 18, the furnace outlet lower gas thermometer 19, the furnace outlet middle gas thermometer 20, and the furnace outlet gas thermometer 21 are the combustion process. As a measured value, it is stored in the storage unit 32 (see FIG. 4) of the combustion control device 30.

The boiler 9 is provided with a boiler outlet oxygen concentration meter 22 for measuring the concentration _{of oxygen (O 2} ) in the exhaust gas on the outlet side. At the inlet of the chimney 8, a gas densitometer 23 for measuring the concentrations of carbon monoxide (CO) and nitrogen oxides (NO _{x) in the exhaust gas is provided.} An exhaust gas flow meter 24 for measuring the amount of exhaust gas is provided in the pipe connecting the outlet of the boiler 9 and the chimney 8. The measured values of the gas concentration and the flow rate measured by the boiler outlet oxygen concentration meter 22, the gas concentration meter 23, and the exhaust gas flow meter 24 are stored in the storage unit 32 of the combustion control device 30 as the combustion process measurement values.

An imaging unit 25 is provided on the downstream side of the furnace 1 in the direction of transporting waste. The image pickup unit 25 includes, for example, a flame transmission camera composed of an infrared camera and an image processing unit for processing captured image data. FIG. 2 is a side view showing an installed state of the image pickup unit 25. The image pickup unit 25 may be arranged outside the furnace in the vicinity of the monitoring window provided on the furnace wall 1a, or may have a water-cooled structure and may be arranged inside the furnace 1. As shown in FIG. 2, the waste 50 falls from the waste supply unit 12 onto the grate 4 at the portion of the step wall 13. The waste that has fallen on the grate 4 is moved forward on the image pickup unit 25 side while being agitated by the reciprocating motion accompanying the back-and-forth movement of the grate 4.

The image pickup unit 25 can acquire the thermography information of the waste 50 on the grate 4 as thermal image information. Here, the wavelength of the infrared rays emitted from the waste 50 is different from the wavelength of the infrared rays emitted from the hot gas and the flame in the space. Therefore, in the imaging unit 25, by appropriately selecting the infrared wavelength to be measured, thermal image information corresponding to the temperature distribution of the layer of the waste 50 can be obtained even if a flame exists in the measurement field of view. .. Further, the measurement range in the furnace length direction by the image pickup unit 25 can be set, and the thermal image information of the layer of the waste 50 on the grate 4 at the position upstream from the combustion region (upstream from the flame) can be obtained. .. The thermal image information can be treated as video data in a state where the flame is transmitted, that is, as a plurality of image data.

In other words, the image pickup unit 25 flames the waste sent from the waste supply unit 12, the stepped wall 13 having a step on which the waste falls, the waste falling on the grate 4, and the upper surface of the grate 4. It is possible to take an image in a state where the image is transmitted. It should be noted that a combustion image imaging unit for capturing the combustion state of waste on the grate 4, that is, the flame may be further provided. The image pickup data (hereinafter referred to as transmission image data) obtained by capturing the state in which the flame captured by the image pickup unit 25 is transmitted is transmitted to the identification device 40 immediately or at a predetermined time interval. The transmission image data captured by the image pickup unit 25 may be stored in the storage unit 32 of the combustion control device 30 and then transmitted from the combustion control device 30 to the identification device 40.

In the present embodiment, the image pickup unit 25 is installed, for example, at a position substantially facing the waste supply unit 12 and the step wall 13. The installation of the image pickup unit 25 is not limited to the position substantially facing the waste supply unit 12 and the step wall 13. The installation position of the image pickup unit 25 is such that at least the boundary portion between the waste 50 on the grate 4 (waste 52 on the grate) and another object, in this case the step wall 13 and the grate 4, can be imaged. , Can be installed in various positions.

FIG. 3 is a front view showing an example of the field of view of the imaging unit 25. As shown in FIG. 3, the imaging unit 25 has a measurement field of view that extends in the vertical direction and the furnace width direction (horizontal direction) of the furnace 1. In the present embodiment, the field of view from the image pickup unit 25 is the waste supply unit 12, the step wall 13, the grate 4, and the furnace wall 1a. The furnace wall 1a included in the field of view from the image pickup unit 25 regulates the lateral movement, that is, the spread of the waste 50 in the left-right direction. The field of view of the image pickup unit 25 may be a field of view capable of capturing the entire waste existing on the grate 4, and includes at least a part of the grate 4 and a part of the step wall 13. Further, it is preferable that the image pickup unit 25 can take an image of the waste 50 (pre-supply waste 51) conveyed to the waste supply unit 12. As a result, the waste 50 falling at the position of the step wall 13 can be imaged.

FIG. 4 is a block diagram showing the configurations of the combustion control device 30 and the identification device 40. The combustion control device 30 and the identification device 40 are, for example, a dedicated line, a public communication network such as the Internet, for example, a LAN (Local Area Network), a WAN (Wide Area Network), a telephone communication network such as a mobile phone, or a public line. It is connected via a network (not shown) consisting of one or a plurality of combinations such as a VPN (Virtual Private Network). Further, the combustion control device 30 and the identification device 40 may be integrally configured, and the combustion control device 30 and the identification device 40 may be installed in the same facility as the grate incinerator or in another facility. .. Further, when the grate incinerator, the combustion control device 30, and the identification device 40 are installed in separate facilities, various information and various data are communicated via the above-mentioned network.

As shown in FIG. 4, the combustion control device 30 includes a control unit 31, a storage unit 32, and an operation amount adjusting unit 33. The control unit 31 as a combustion control unit and the operation amount adjustment unit 33 specifically include a processor such as a CPU (Central Processing Unit), a DSP (Digital Signal Processor), an FPGA (Field-Programmable Gate Array), and a RAM ( It is equipped with a main storage unit (none of which is shown) such as Random Access Memory) and ROM (Read Only Memory). The storage unit 32 is composed of a storage medium selected from a volatile memory such as RAM, a non-volatile memory such as ROM, an EPROM (Erasable Programmable ROM), a hard disk drive (HDD, Hard Disk Drive), and a removable medium. .. The removable media is, for example, a USB (Universal Serial Bus) memory or a disc recording medium such as a CD (Compact Disc), a DVD (Digital Versatile Disc), or a BD (Blu-ray (registered trademark) Disc). be. Further, the storage unit 32 may be configured by using a computer-readable recording medium such as a memory card that can be mounted from the outside.

The storage unit 32 can store an operating system (OS), various programs, various tables, various databases, and the like for executing the operation of the combustion control device 30. Here, the various programs also include an information processing program that realizes processing based on a model such as a learning model or a learned model according to the present embodiment. These various programs can also be recorded on a computer-readable recording medium such as a hard disk, flash memory, CD-ROM, DVD-ROM, or flexible disk and widely distributed.

The combustion control device 30 adjusts the waste supply speed of the waste 50 as the operation amount of each operation end based on a predetermined operation amount reference value setting relational expression (hereinafter, operation amount relational expression). The feed rate of the material supply device and the grate feed speed that adjusts the moving speed of the waste 50 are controlled. The combustion control device 30 also controls the stop and operation of the waste supply device feed rate and the grate feed speed. The combustion control device 30 controls the amount of combustion air and the amount of secondary air, if necessary, based on the manipulated variable relational expression. The manipulated variable relational expression is, for example, a relational expression between a waste incinerator set value or a waste substance set value and an manipulated variable reference value (manipulated amount target value), and includes a control parameter as a correction coefficient. The control parameters are adjusted by the control unit 31 so as to match the waste incinerator amount set value and the waste substance set value. The adjusted control parameter is changed by the control unit 31 in response to the changed setting value when at least one of the waste incinerator amount setting value and the waste substance setting value is changed. .. By changing the control parameter, the preset operation amount reference value is corrected.

The control unit 31 calculates the waste substance (lower calorific value of the waste) according to the set value of the waste incinerator amount. The control unit 31 adjusts the manipulated variable reference value by adjusting the control parameters included in the manipulated variable relational expression. The control unit 31 corrects the adjusted operation amount reference value based on a predetermined control algorithm such as PID control or fuzzy operation. The storage unit 32 stores the data referred to by the control unit 31. The storage unit 32 stores a predetermined operation amount relational expression, a control algorithm, a preset incineration amount set value, and a combustion process measurement value acquired as a combustion state amount in the furnace 1.

The operation amount adjusting unit 33 adjusts the operation amount of each operation end so as to follow the operation amount reference value. Specifically, the operation amount adjustment unit 33 includes a combustion air amount adjustment unit 331, an air amount ratio adjustment unit 332, a secondary air amount adjustment unit 333, a waste supply device feed speed adjustment unit 334, and a grate feed speed adjustment unit. It has 335.

The combustion air amount adjusting unit 331 adjusts the operation amount so that the combustion air amount follows the operation amount reference value (hereinafter referred to as the corrected operation amount reference value) corrected by the control unit 31. The air amount ratio adjusting unit 332 controls each of the subgrate combustion air dampers 14a to 14d to adjust the mutual ratio of the flow rates in each air box. The secondary air amount adjusting unit 333 adjusts the operation amount so that the secondary air amount follows the correction operation amount reference value. Here, the amount of combustion air and the amount of secondary air are adjusted by controlling the opening degrees of the combustion air damper 14, the subgrate combustion air dampers 14a to 14d, and the secondary air damper 15. ..

The waste supply device feed rate adjusting unit 334 adjusts the operation amount so that the waste supply device feed rate follows the correction operation amount reference value. The grate feed speed adjusting unit 335 adjusts the operation amount so that the grate feed speed follows the correction operation amount reference value. When the operation amount reference value is not corrected by the control unit 31, the operation amount adjustment unit 33 adjusts each operation amount based on the uncorrected operation amount reference value.

(Identification device)
The identification device 40 as an information processing device includes a control unit 41, an output unit 42, an input unit 43, and a storage unit 44. The identification device 40 functions as a waste supply speed measuring device for executing a waste supply speed measuring method and a burning cut point position measuring device for executing a burning cut point position measuring method.

The control unit 41 has the same configuration as the control unit 31 described above functionally and physically, and has a processor such as a CPU, DSP, FPGA, and a main storage unit such as RAM and ROM (none of which is shown). ). The output unit 42 as an output means is configured so that predetermined information can be notified to the outside.

The output unit 42 displays an image of waste in the furnace 1 on the display monitor, displays characters and figures on the screen of the touch panel display, and outputs sound from the speaker according to the control by the control unit 41. Or something. The input unit 43 as an input means uses a user interface such as a keyboard, input buttons, levers, a touch panel for manual input provided superimposed on a display such as a liquid crystal display, or a microphone for voice recognition. It is composed of. By operating the input unit 43, a user or the like can input predetermined information to the control unit 41. The output unit 42 and the input unit 43 may be integrated into an input / output unit, and the input / output unit may be composed of a touch panel display, a speaker microphone, or the like.

The storage unit 44 has the same configuration as the storage unit 32 described above functionally and physically, and is selected from volatile memory such as RAM, non-volatile memory such as ROM, EPROM, HDD, and removable media. It is composed of a storage medium. The removable media is, for example, a USB memory or a disc recording medium such as a CD, DVD, or BD. Further, the storage unit 44 may be configured by using a computer-readable recording medium such as a memory card that can be mounted from the outside.

The storage unit 44 can store an OS for executing the operation of the identification device 40, various programs, various tables, various databases, and the like. Here, the various programs include an information processing program that realizes control using the boundary discrimination learning model according to the present embodiment. The storage unit 44 may be provided in another server capable of communicating via various networks, or may be provided in the combustion control device 30. Specifically, the boundary discrimination learning model 44a is stored in the storage unit 44. The boundary discrimination learning model 44a is an updatable model, and if it is not updated, it becomes a trained boundary identification learning model. It should be noted that an automatic judgment processing program that realizes a judgment process using a combustion image learning model that can execute a predetermined judgment from the combustion image captured by the combustion image imaging unit may be included. Further, these various programs can be recorded on a computer-readable recording medium such as a hard disk, a flash memory, a CD-ROM, a DVD-ROM, or a flexible disk and widely distributed.

The control unit 41 loads the program stored in the storage unit 44 into the work area of the main storage unit and executes it, and controls each component or the like through the execution of the program to realize a function that meets a predetermined purpose. can. In the present embodiment, the control unit 41 executes the functions of the boundary generation unit 411, the learning unit 412, and the supply amount calculation unit 413 by executing the program stored in the storage unit 44. Specifically, for example, the control unit 41 executes the function of the boundary generation unit 411 by reading the boundary identification learning model 44a, which is a program, from the storage unit 44. The details of the functions of the boundary generation unit 411, the learning unit 412, and the supply amount calculation unit 413 will be described later.

(Learning model and its generation method)
Here, the boundary discrimination learning model 44a, which is a program stored in the storage unit 44, and a method of generating the model will be described. That is, the boundary identification learning model 44a includes the waste 50 before being supplied onto the grate 4 (hereinafter referred to as the waste before supply 51) and the step wall 13 with respect to the transmitted image data captured by the imaging unit 25. , Is a learning model capable of executing a process of generating boundaries between the waste 50 on the grate 4 (hereinafter referred to as the waste 52 on the grate) and the grate 4.

The data used for generating the boundary identification learning model 44a are the transmission image data captured by the imaging unit 25 and the processed image data in which the boundary is identified with respect to the transmission image data and the above-mentioned boundary line is drawn. Hereinafter, it is boundary image data). The number of transparent image data and boundary image data is preferably 100 or more, for example. That is, the boundary image data is discarded on the grate, the boundary between the pre-supply waste 51 and the step wall 13, the boundary between the step wall 13 and the waste 52 on the grate, and the waste on the grate 52, with respect to the transmission image data. This is image data in which the boundary between the object 52 and the grate 4 is drawn. As the input / output data set for generating the boundary identification learning model 44a, transparent image data is used as a learning input parameter, and boundary image data is used as a learning output parameter. The learning unit 412 of the control unit 41 generates a boundary discrimination learning model 44a by machine learning such as deep learning using a neural network, using the above-mentioned learning input parameters and learning output parameters as teacher data. do. The control unit 41 generates boundary image data from the transparent image data based on the content learned by the learning unit 412. Further, the learning unit 412 appropriately updates the boundary identification learning model 44a by using the input transparent image data and the boundary image data obtained by the operator drawing or modifying the boundary.

Next, an information processing method according to an embodiment of the present invention will be described. FIG. 5 is a flowchart showing a control operation for explaining the information processing method according to the present embodiment. It should be noted that step ST1 is a process performed by the image pickup unit 25 in the furnace 1, steps ST2, ST3, ST6 and ST7 are processes performed by the identification device 40, steps ST4 and ST5 are processes performed by the operator, and step ST8 is a process performed by the combustion control device 30.

As shown in FIG. 5, in step ST1, the image pickup unit 25 takes an image of the inside of the furnace 1. The image pickup unit 25 captures the situation inside the furnace 1 in the field of view as an image transmitted through the flame. FIG. 6 is a diagram showing an example of an image transmitted through the flame in the furnace 1 when the image pickup unit 25 takes an image of the inside of the furnace 1. As shown in FIG. 6, the imaging unit 25 specifically includes a pre-supply waste 51, a step wall 13, a grate waste 52, a grate 4, and a furnace in the waste supply unit 12 above the step wall 13. Image the wall 1a. It is not necessary to take an image of the furnace wall 1a. The image pickup unit 25 transmits the captured transmission image data to the control unit 41 through the input unit 43 of the identification device 40. The control unit 41 stores the received transparent image data in the storage unit 44.

Next, in step ST2 shown in FIG. 5, the boundary generation unit 411 of the identification device 40 reads the boundary identification learning model 44a, and the transmission image data acquired from the image pickup unit 25 is compared with the waste 50 and the step. Identify the boundaries between the wall 13 and the grate 4. The boundary generation unit 411 may mutually identify the waste 50, the step wall 13, and the grate 4 to determine their boundaries.

Next, in step ST3, the boundary generation unit 411 identifies the boundary between the region where the waste 50 exists and the region other than the waste 50, for example, the region where another object exists, with respect to the transmitted image data. Then, a boundary line 53 including at least a part of this boundary is generated. The boundary generation unit 411 generates a boundary line 53 for each boundary between the waste 50 and the step wall 13 and the grate 4 as other objects other than the waste 50, for example. The boundary generation unit 411 generates boundary identification data by superimposing the generated boundary line 53 on the transparent image data and drawing the data. FIG. 7 is a diagram showing an example of boundary identification data in which a boundary line is drawn with respect to the transparent image data. As shown in FIG. 7, the boundary generation unit 411 has, for example, the boundary between the pre-supply waste 51 and the step wall 13, the boundary between the step wall 13 and the waste 52 on the grate, and the boundary with respect to the transmission image data. Boundary lines 53a, 53b, and 53c are generated for the boundary between the waste 52 on the grate and the grate 4, respectively, and are superimposed and drawn. As a result, the boundary generation unit 411 generates boundary image data in which the boundary line 53 is drawn with respect to the transparent image data. The boundary generation unit 411 stores the generated boundary image data in the storage unit 44, and outputs the generated boundary image data to the output unit 42 so that the data can be displayed on a monitor, for example. As a result, the worker or the manager can recognize the boundary identification image generated by the identification device 40.

Next, the process proceeds to step ST4 shown in FIG. 5, and the operator of the identification device 40 confirms the boundary image data output to the output unit 42. The operator determines whether or not the boundary line 53 drawn on the confirmed boundary image data is accurate. When the operator determines that the boundary line 53 is not accurate (step ST4: No), the learning unit 412 sets a flag that learning is necessary and proceeds to step ST5. On the other hand, when the operator determines in step ST4 that the boundary line 53 is accurate (step ST4: Yes), the process proceeds to step ST7. The process of step ST7 will be described later.

In step ST5, the operator uses the input unit 43 to correct the boundary line 53 drawn on the boundary image data generated by the boundary generation unit 411. As a result, the modified boundary image data is created. The corrected boundary image data is not limited to the method in which the operator corrects the boundary image data by using the input unit 43, and the worker corrects the boundary line 53 with respect to the printed matter on which the boundary image data is printed, and the corrected printed matter is used. It may be read into the identification device 40 by using a scanner or the like as an input unit 43 and input.

After that, the process proceeds to step ST6, and the learning unit 412 of the identification device 40 learns the boundary discrimination and updates the boundary discrimination learning model 44a. That is, the learning unit 412 uses the input / output data set in which the transparent image data acquired in step ST1 is used as the learning input parameter and the modified boundary image data input from the input unit 43 as the learning output parameter, and the boundary identification is performed. The learning model 44a is updated. The learning unit 412 may update the boundary discrimination learning model 44a by modifying the coefficients of each parameter with respect to the boundary discrimination learning model 44a by using the modified boundary image data by an inverse error propagation method or the like. .. After the update of the boundary discrimination learning model 44a is completed, the learning unit 412 lowers the flag that needs to be learned.

Next, in step ST7, the identification device 40 functions as a waste supply speed measuring device to execute the waste supply speed measuring method. That is, the supply amount calculation unit 413 of the identification device 40 is based on the boundary line 53b drawn on the boundary between the step wall 13 and the waste 52 on the grate, and the height of the waste 52 on the grate (hereinafter, discarded). The material layer height H) is calculated. Here, as shown in FIG. 7, the boundary line 53b between the stepped wall 13 and the waste 52 on the grate is uneven. The supply amount calculation unit 413 as a calculation unit is the height from the intersection of the grate 4 and the step wall 13 determined in the boundary image data to the upper part of the waste 52 on the grate obtained by the boundary line 53b. The waste layer height H is calculated by averaging h with respect to the width direction.

In the boundary image data, the area of the waste 52 on the grate sandwiched between the boundary line 53b and the intersection of the grate 4 and the step wall 13 is derived, and the derived area is a constant value of the furnace 1. The waste layer height H may be calculated by dividing by the width (width in FIG. 7, left and right) and averaging. The calculated waste layer height H is a physical quantity corresponding to the waste 50 (waste 52 on the grate) supplied on the grate 4. Further, instead of calculating the waste layer height H, the area of the waste 52 on the grate sandwiched by the boundary lines 53b and 53c may be calculated. The area of the grate waste 52 sandwiched between the boundary lines 53b and 53c is a physical quantity corresponding to the total amount of the grate waste 52.

FIG. 8 is a graph showing an example of the time change of the waste 52 on the grate supplied on the grate 4. As shown in FIG. 8, the supply amount calculation unit 413 records the waste layer height H calculated as described above with the passage of time and stores it in the storage unit 44. As a result, the identification device 40 can accurately acquire the changes in the waste layer height H and the waste layer height H with respect to the elapsed time T. Therefore, the identification device 40 can derive the supply amount of the waste 50 onto the grate 4 per unit time, that is, the fuel supply rate (t / h). The control unit 41 transmits the derived waste supply speed to the combustion control device 30.

Further, in step ST7, the identification device 40 functions as a burnout point position measuring device and executes a method for measuring the position of the burnout point F. That is, the boundary line 53c between the waste 52 on the grate and the grate 4 is a specific burnout point of the waste 50. Usually, the specific burnout point of the waste 50 is uneven. Therefore, as shown in FIG. 7, the supply amount calculation unit 413 of the control unit 41 averages the boundary line 53c drawn in the boundary image data in the width direction of the furnace 1. In other words, in the supply amount calculation unit 413, the burnout point F of the waste 50 (waste 52 on the grate) is located at which position on the grate 4 based on the boundary line 53c drawn on the boundary image data. Calculate if it exists. As a result, the identification device 40 can derive the burnout point F of the waste 50 on the grate 4. The control unit 41 transmits information on the position of the burnout point of the derived waste 50 to the combustion control device 30.

After that, the process proceeds to step ST8 shown in FIG. 5, and the combustion control device 30 executes the combustion control method based on at least one of the waste layer height H acquired from the control unit 41 and the position of the burnout point F. do. That is, the control unit 41 has the waste layer height H derived based on the boundary line 53b generated by the boundary generation unit 411 and the burnout point F of the waste 50 acquired based on the boundary line 53c. At least one of the positions is transmitted to the combustion control device 30. The combustion control device 30 executes the combustion control method based on the information of the waste layer height H and the position of the burnout point F. That is, the control unit 31 corrects the control parameters in the above-mentioned combustion control device 30 based on the acquired information, and determines the waste supply device feed rate, the grate feed rate, and the amount of combustion air as necessary. The furnace 1 is controlled by adjusting the next air amount. By these adjustments, the combustion state of the waste 50 in the furnace 1 can be kept good. As described above, the control process of the furnace 1 according to the present embodiment is completed.

(Modification example)
Next, a modified example of the above-described embodiment will be described. FIG. 9 is a diagram showing a modified example of the boundary image data. In the modified example, in step ST2 shown in FIG. 5 described above, the boundary generation unit 411 reads the boundary identification learning model 44a, and the waste 50 and the waste supply unit are used for the transmission image data acquired from the image pickup unit 25. 12, the boundary of the step wall 13, the furnace wall 1a, and the grate 4 is identified. The boundary generation unit 411 mutually identifies the waste 50, the waste supply unit 12, the step wall 13, the furnace wall 1a, and the grate 4, so as to identify their boundaries. May be good.

Next, in step ST3, the boundary generation unit 411 determines the boundary between the waste 50 and another object, that is, the waste 50, the waste supply unit 12, the step wall 13, and the furnace with respect to the transmission image data. A boundary line 54 is drawn for each boundary with the wall 1a and the grate 4. As shown in FIG. 9, the boundary generation unit 411 is, for example, on the grate at the boundary between the pre-supply waste 51, the waste supply unit 12, the furnace wall 1a, and the step wall 13 with respect to the transmitted image data. Boundary lines 54a and 54b are drawn with respect to the boundary between the waste 52 and the step wall 13, the grate 4, and the furnace wall 1a, respectively. In other words, the boundary generation unit 411 draws the boundary line 54a so as to surround the outer edge of the pre-supply waste 51. The boundary generation unit 411 draws a boundary line 54b so as to surround the outer edge of the waste 52 on the grate. As described above, the boundary generation unit 411 generates boundary image data in which the boundary line 54 is drawn with respect to the transparent image data.

In the generated boundary image data, the amount of waste 50 on the grate 4 can be derived by deriving the area of the waste 52 on the grate surrounded by the boundary line 54b. Further, the supply amount calculation unit 413 divides the area of the portion surrounded by the boundary line 54b by the width of the furnace 1 which is a constant (the width on the left and right in FIG. 9) and averages the waste layer. It is also possible to calculate the height H. The boundary generation unit 411 outputs the generated boundary image data to the output unit 42 and displays it on a monitor, for example. As a result, the worker or the manager can recognize the boundary identification image generated by the identification device 40. Further, the control unit 41 stores the area of the derived waste 52 on the grate and the height H of the waste layer in the storage unit 44 with the passage of time, so that the control unit 41 is supplied onto the grate 4 per unit time. The amount of waste 50 can be derived. Therefore, in the identification device 40, the fuel supply rate on the grate 4 in the furnace 1 can be derived. Further, the boundary generation unit 411 measures the position of the burnout point F of the waste 50 by extracting the boundary line between the waste 52 on the grate and the grate 4 based on the shape of the boundary line 54b. be able to. Other configurations are the same as those of the above-described embodiment.

According to one embodiment described above, boundary lines 53 and 54 are generated at the boundary between the waste 52 on the grate on the grate 4 and the region where other objects exist in the furnace 1 of the incinerator. By superimposing and drawing, the height H and the area of the waste layer of the waste 50 on the grate 4 can be calculated. Therefore, by measuring the passage of time of the waste layer height H, it is possible to derive the fuel supply speed of the waste 50 on the grate 4 in the furnace 1 with higher accuracy and accuracy. Further, based on the boundary line 53c between the grate 4 and the waste 52 on the grate, the boundary line 54b which is the outer edge of the waste 52 on the grate, and the like, the burnout point of the waste 50 on the grate 4. It is possible to measure F accurately.

Although one embodiment of the present invention has been specifically described above, the present invention is not limited to the above-mentioned one embodiment, and various modifications based on the technical idea of the present invention are possible. For example, the numerical values given in the above-described embodiment are merely examples, and different numerical values may be used if necessary. The invention is not limited.

For example, in the above-described embodiment, the boundary identification learning model 44a is stored in the storage unit 44, but the boundary identification learning model 44a can be communicated with the identification device 40 via a network such as a public network. It is also possible to store it in the storage unit of the image server. In this case, the transparent image data captured by the imaging unit 25 is transmitted to the transparent image server via the network and stored in the storage unit. After that, the control unit of the transparent image server draws a boundary line with respect to the transparent image data to generate the boundary image data in response to the request from the identification device 40, and transmits the boundary image data to the identification device 40. In the identification device 40, it is possible to derive the fuel supply rate of the waste 50 based on the received boundary image data. That is, the boundary generation unit 411, the learning unit 412, and the supply amount calculation unit 413 may be provided in another device capable of communicating with each other via the network. Further, the boundary generation unit 411, the learning unit 412, and the supply amount calculation unit 413 may be provided in different devices capable of communicating with each other via the network.

Further, for example, in the above-described embodiment, deep learning using a neural network is used as an example of machine learning, but machine learning based on other methods may be performed. Other supervised learning, such as support vector machines, decision trees, naive Bayes, k-nearest neighbors, etc., may be used. Also, semi-supervised learning may be used instead of supervised learning.

Further, for example, the result of the combustion state and the amount of power generation in which the combustion control device 30 controls the furnace 1 based on the waste layer height H and the burnout point F derived from the boundary image data generated by the identification device 40. May be used as a reward to perform machine learning such as reinforcement learning and deep reinforcement learning to generate or update the boundary discrimination learning model 44a.

(recoding media)
In one of the above embodiments, a record in which a computer or other device such as a machine or a wearable device (hereinafter referred to as a computer) can read a program for executing a processing method executed by the combustion control device 30 or the identification device 40. It can be recorded on a medium. By having a computer or the like read and execute the program of this recording medium, the computer or the like functions as a mobile control device. Here, a recording medium that can be read by a computer or the like is a non-temporary recording medium that can store information such as data and programs by electrical, magnetic, optical, mechanical, or chemical action and can be read from a computer or the like. Recording medium. Among such recording media, those that can be removed from a computer or the like include, for example, a memory such as a flexible disk, a magneto-optical disk, a CD-ROM, a CD-R / W, a DVD, a BD, a DAT, a magnetic tape, or a flash memory. There are cards and so on. Further, as a recording medium fixed to a computer or the like, there are a hard disk, a ROM, and the like. Further, the SSD can be used as a recording medium that can be removed from a computer or the like, or as a recording medium fixed to the computer or the like.

Further, the program to be executed by the combustion control device 30 and the identification device 40 according to the embodiment may be stored on a computer connected to a network such as the Internet and provided by downloading via the network. good.

(Other embodiments)
In one embodiment, the above-mentioned "part" can be read as "circuit" or the like. For example, the control unit can be read as a control circuit.

In the description of the flowchart in the present specification, the context of the processing between the steps is clarified by using expressions such as "first", "after", and "continue", but the present embodiment is implemented. The order of processing required for this is not uniquely defined by those representations. That is, the order of processing in the flowchart described in the present specification can be changed within a consistent range.

Further effects and variations can be easily derived by those skilled in the art. The broader aspects of the present disclosure are not limited to the particular details and representative embodiments described and described above. Thus, various modifications can be made without departing from the spirit or scope of the overall concept of the invention as defined by the attached claims and their equivalents.

1 Furnace 1a Furnace wall 2 Waste inlet 3 Waste supply device 4 Grate 5 Ash drop port 6 Combustion air blower 7 Combustion outlet 8 Chimney 9 Boiler 9a Heat exchanger 9b Steam drum 10 Secondary air blow port 11 Secondary Air blower 12 Waste supply part 13 Step wall 14 Combustion air damper 14a, 14b, 14c, 14d Under-grate combustion air damper 15 Secondary air damper 16 Intermediate ceiling 17 Combustion chamber gas thermometer 18 Main chimney gas thermometer 19 Gas thermometer at the bottom of the furnace outlet 20 Gas thermometer at the middle of the furnace outlet 21 Gas thermometer at the outlet of the furnace 22 Oxygen concentration meter at the outlet of the boiler 23 Gas concentration meter 24 Exhaust gas flow meter 25 Imaging unit 30 Combustion control device 31, 41 Control unit 32, 44 Memory Unit 33 Operation amount adjustment unit 40 Identification device 42 Output unit 43 Input unit 44a Boundary identification learning model 50 Waste 51 Pre-supply waste 52 Grate waste 53, 53a, 53b, 53c, 54, 54a, 54b Boundary line 331 Combustion air amount adjustment unit 332 Air amount ratio adjustment unit 333 Secondary air amount adjustment unit 334 Waste supply device Feed speed adjustment unit 335 Grate feed speed adjustment unit 411 Boundary generation unit 412 Learning unit 413 Supply amount calculation unit

Claims (20)

Control to acquire image data generated from thermal image information in which the area containing the waste in a waste incinerator equipped with a grate for moving waste is imaged and perform image processing on the image data. It is an information processing device equipped with a unit.
The control unit
The captured image data is acquired and stored in a storage unit, and then stored.
With respect to the image data read from the storage unit, the boundary between the area where the waste exists in the waste incinerator and the area other than the waste is identified, and at least a part of the boundary is defined. An information processing device that generates a boundary line to be processed and generates processed image data including the boundary line. The control unit
The image data is acquired from the storage unit as an input parameter, and the image data read from the storage unit is input to the boundary identification learning model.
The processed image data in which the boundary line is generated for the image data is output as an output parameter.
The boundary identification learning model is a learning model generated by machine learning using the image data as a learning input parameter and the processed image data in which the boundary line is drawn with respect to the image data as a learning output parameter. The information processing apparatus according to claim 1. The information processing apparatus according to claim 1 or 2, wherein the boundary line is generated at the boundary between the waste and the grate in the image data. The waste incinerator includes a waste supply unit that supplies the waste with a step on the grate.
The information processing apparatus according to any one of claims 1 to 3, wherein the boundary line is generated at the boundary between the waste on the grate and the step to which the waste is supplied in the image data. The waste incinerator is provided with a furnace wall that regulates the spread of the waste.
The information processing apparatus according to any one of claims 1 to 4, wherein the boundary line is generated at the boundary between the waste and the furnace wall in the image data. The information processing apparatus according to any one of claims 1 to 5, wherein the boundary line is generated on the outer edge of the waste in the image data. Calculation to calculate the supply speed of waste into the waste incinerator by acquiring a plurality of processed image data obtained by the information processing apparatus according to any one of claims 1 to 6 along the elapsed time. It is a waste supply speed measuring device equipped with a unit.
The calculation unit
Based on the boundary line in the processed image data, the area where the waste exists in the waste incinerator is specified.
Based on the height along the height direction of the existing area or the area of the existing area, the amount of the waste or the physical quantity corresponding to the amount is calculated.
A waste supply rate measuring device that calculates the supply rate of the waste based on the amount of the waste or a physical quantity corresponding to the amount and the elapsed time. One of claims 1 to 6, wherein image processing is performed on image data generated from thermal image information obtained by imaging an area containing the waste in a waste incinerator provided with a grate for moving waste. The processed image data obtained by the information processing apparatus according to the first item is acquired, and the processed image data is acquired.
A burnout point position measuring device that measures the position of the burnout point of the waste on the grate based on the boundary line generated at the boundary between the waste and the grate in the processed image data. .. The waste supply rate obtained from the waste supply rate measuring device according to claim 7 and the burnout of the waste on the grate obtained from the burnout point position measuring device according to claim 8. Get at least one with the position of the point,
The feed rate of the waste supply device that adjusts the supply rate of the waste based on at least one of the supply rate of the waste and the position of the burnout point, and the moving speed of the waste on the grate. A combustion control device equipped with a combustion control unit that controls at least one of the grate feed speeds. The combustion control device according to claim 9, wherein the combustion control unit controls at least one of a combustion air amount and a secondary air amount based on at least one of the waste supply rate and the position of the burnout point. .. Information that acquires image data generated from thermal image information in which the area containing the waste in a waste incinerator equipped with a grate for moving waste is imaged and performs image processing on the image data. It is an information processing method executed by the processing device.
The captured image data is acquired and stored in a storage unit, and then stored.
With respect to the image data read from the storage unit, the boundary between the area where the waste exists in the waste incinerator and the area other than the waste is identified, and at least a part of the boundary is defined. An information processing method for generating a boundary line to be processed and generating processed image data including the boundary line. The image data is acquired from the storage unit as an input parameter, and the image data read from the storage unit is input to the boundary identification learning model.
The processed image data in which the boundary line is generated for the image data is output as an output parameter.
The boundary identification learning model is a learning model generated by machine learning using the image data as a learning input parameter and the processed image data in which the boundary line is drawn with respect to the image data as a learning output parameter. The information processing method according to claim 11. The information processing method according to claim 11 or 12, wherein the boundary line is generated at the boundary between the waste and the grate in the image data. The waste incinerator includes a waste supply unit that supplies the waste with a step on the grate.
The information processing method according to any one of claims 11 to 13, wherein the boundary line is generated at the boundary between the waste on the grate and the step to which the waste is supplied in the image data. The waste incinerator is provided with a furnace wall that regulates the spread of the waste.
The information processing method according to any one of claims 11 to 14, wherein the boundary line is generated at the boundary between the waste and the furnace wall in the image data. The information processing method according to any one of claims 11 to 15, wherein the boundary line is generated on the outer edge of the waste in the image data. Disposal for calculating the supply speed of waste into a waste incinerator by acquiring a plurality of processed image data obtained by the information processing method according to any one of claims 11 to 16 along the elapsed time. It is a method of measuring the waste supply speed executed by the material supply speed measuring device.
Based on the boundary line in the processed image data, the area where the waste exists in the waste incinerator is specified.
Based on the height along the height direction of the existing area or the area of the existing area, the amount of the waste or the physical quantity corresponding to the amount is calculated.
A method for measuring a waste supply rate for calculating the supply rate of the waste based on the amount of the waste or a physical quantity corresponding to the amount and the elapsed time. The processed image data obtained by the information processing method according to any one of claims 11 to 16, wherein image processing is performed on the image data generated from the thermal image information obtained by imaging the region containing the waste. Acquired,
The acquired processed image data is stored in the storage unit, and the data is stored in the storage unit.
The position of the burnout point of the waste on the grate is measured based on the boundary line generated at the boundary between the waste and the grate in the processed image data read from the storage unit. How to measure the position of the cut point. It is a combustion control method executed by a combustion control device equipped with a combustion control unit that controls a waste incinerator.
The combustion control unit
The waste supply speed obtained in a waste incinerator provided with a grate by the waste supply speed measurement method according to claim 17, and the above-mentioned method obtained from the burn-off point position measurement method according to claim 18. Obtain at least one of the locations of the burnout point of the waste on the grate,
The feed rate of the waste supply device that adjusts the supply rate of the waste based on at least one of the supply rate of the waste and the position of the burnout point, and the moving speed of the waste on the grate. A combustion control method that controls at least one of the grate feed rates to adjust. The combustion control unit
The combustion control method according to claim 19, wherein at least one of a combustion air amount and a secondary air amount is controlled based on at least one of the waste supply rate and the position of the burnout point.

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