Combustion system, information processing device, information processing method and information processing program

Abstract

To provide a technology capable of estimating a lower heating value with thigh accuracy.SOLUTION: A combustion system (100) includes a component ration calculation part (12) for calculating a component ratio of waste, a first heating value calculation part (13) for calculating a first heating value estimated from the component ratio of the waste when the waste is incinerated, a heat input and output calculation part (14) for calculating a heat input and a heat output of an incinerator, a second heating value calculation part (15) for calculating a second heating value estimated from heat balance between the heat input and the heat output of the incinerator when the waste is incinerated, and a heating value estimation part (16) for estimating a lower heating a value being a heating value when the waste is incinerated so as to make difference between the first heating value and the second heating value a prescribed value or less.SELECTED DRAWING: Figure 3

Description

Technical Field

[0001] The present invention relates to a combustion system, an information processing apparatus, an information processing method, and an information processing program.

Background Art

[0002] In order to achieve stable operation in a waste treatment facility, stable combustion of waste is essential, and the stability of waste combustion is achieved by automatically controlling the grate speed and the combustion air volume by automatic combustion control (ACC (Automatic Combustion Control)). Since the grate speed is related to the quality of the waste, it is important to grasp the quality of the waste to be incinerated.

[0003] Patent Document 1 discloses a method for estimating the calorific value of waste, which is characterized by calculating the estimated calorific value of waste combustion from the calculated calorific value, latent heat value, and waste amount in the process of burning a predetermined amount of waste.

[0004] Patent Document 2 discloses a method for calculating the calculated calorific value of a combustible material based on the reaction calorific value of carbon and hydrogen and the latent heat value of moisture in the combustible material generated by combustion treatment, and calculating the calculated calorific value per unit supply amount of the combustible material subjected to combustion treatment from the supply amount of the combustible material.

[0005] Patent Document 3 discloses a method for controlling the combustion of waste, which calculates the boiler evaporation amount based on the calculated calorific value of waste in the process of burning a predetermined amount of waste, controls the supply amounts of waste, combustion air, and auxiliary fuel input into the incinerator based on the boiler evaporation amount, and performs combustion control of the incinerator.

Prior Art Documents

Patent Documents

[0006]

Patent Document 1

Patent Document 2

Patent Document 3

Summary of the Invention

Problems to be Solved by the Invention

[0007] For automatic combustion control (ACC), important refuse quality information (such as the lower calorific value of refuse, the apparent specific gravity of refuse, and the component ratio) cannot be continuously measured by sensors. Therefore, some of the ACC parameters are manually input. For example, the apparent specific gravity is the target of manual input, and this information is input based on the driver's sense as described later.

[0008] In addition, since the setting of the apparent specific gravity is performed according to the combustion status in the incinerator and the operating feeling of the refuse crane, it is appropriately changed, but it is difficult for those with little experience to determine the change range and timing, and it has become a task with human characteristics.

[0009] Although Patent Documents 1 to 3 obtain the lower calorific value by a plurality of different calculation methods, they apply empirical rules to parameters that are difficult to measure (the amount of refuse incinerated and the amount of air leakage). In addition, although it is also disclosed to obtain the supply amount of refuse from the refuse image in the hopper, etc., the number of times of refuse input is small, and the refuse is compressed in the chute under the hopper, resulting in a difference from the actual supply amount of refuse, which affects the estimation of the lower calorific value. Therefore, it is necessary to judge whether the applied value is appropriate from the estimated lower calorific value, which is the final product, resulting in a slow response and room for improvement in the estimation accuracy of the lower calorific value.

[0010] One aspect of the present disclosure has been made in view of the above-mentioned conventional problems, and an object thereof is to provide a technique capable of accurately estimating the lower calorific value.

Means for Solving the Problems

[0011] In order to solve the above problems, a combustion system according to an aspect of the present invention includes a measurement value acquisition unit that acquires measurement values measured by a plurality of measurement devices provided in a waste incineration facility, a component ratio calculation unit that calculates a component ratio of waste based on the measurement values measured by the plurality of measurement devices, a first calorific value calculation unit that calculates a first calorific value when the waste is incinerated, which is estimated from the component ratio of the waste, an input / output heat calculation unit that calculates the input heat and the output heat of an incinerator based on the measurement values measured by the plurality of measurement devices, a second calorific value calculation unit that calculates a second calorific value when the waste is incinerated, which is estimated from the heat balance between the input heat and the output heat of the incinerator, and a calorific value estimation unit that estimates a lower calorific value, which is the calorific value when the waste is incinerated, such that the difference between the first calorific value and the second calorific value is equal to or less than a predetermined value.

[0012] In order to solve the above problems, an information processing apparatus according to an aspect of the present invention includes a measurement value acquisition unit that acquires measurement values measured by a plurality of measurement devices provided in a waste incineration facility, a component ratio calculation unit that calculates a component ratio of waste based on the measurement values measured by the plurality of measurement devices, a first calorific value calculation unit that calculates a first calorific value when the waste is incinerated, which is estimated from the component ratio of the waste, an input / output heat calculation unit that calculates the input heat and the output heat of an incinerator based on the measurement values measured by the plurality of measurement devices, a second calorific value calculation unit that calculates a second calorific value when the waste is incinerated, which is estimated from the heat balance between the input heat and the output heat of the incinerator, and a calorific value estimation unit that estimates a lower calorific value, which is the calorific value when the waste is incinerated, such that the difference between the first calorific value and the second calorific value is equal to or less than a predetermined value.

[0013] Also, in order to solve the above problems, an information processing method according to an aspect of the present invention includes: a step of acquiring measurement values measured by a plurality of measurement devices provided in a waste incineration facility; a step of calculating a component ratio of waste based on the measurement values measured by the plurality of measurement devices; a step of calculating a first calorific value when the waste is incinerated, which is estimated from the component ratio of the waste; a step of calculating the heat input to the incinerator and the heat output from the incinerator based on the measurement values measured by the plurality of measurement devices; a step of calculating a second calorific value when the waste is incinerated, which is estimated from the heat balance between the heat input and the heat output of the incinerator; and a step of estimating a lower calorific value, which is the calorific value when the waste is incinerated, such that the difference between the first calorific value and the second calorific value is equal to or less than a predetermined value.

[0014] Also, in order to solve the above problems, a program according to an aspect of the present invention causes a computer to execute a process of acquiring measurement values measured by a plurality of measurement devices provided in a waste incineration facility, a process of calculating a component ratio of waste based on the measurement values measured by the plurality of measurement devices, a process of calculating a first calorific value when the waste is incinerated, which is estimated from the component ratio of the waste, a process of calculating the heat input to the incinerator and the heat output from the incinerator based on the measurement values measured by the plurality of measurement devices, a process of calculating a second calorific value when the waste is incinerated, which is estimated from the heat balance between the heat input and the heat output of the incinerator, and a process of estimating a lower calorific value, which is the calorific value when the waste is incinerated, such that the difference between the first calorific value and the second calorific value is equal to or less than a predetermined value.

Effects of the Invention

[0015] According to one aspect of the present invention, the lower calorific value can be accurately estimated.

Brief Description of the Drawings

[0016]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Figure 7

Figure 8

Figure 9

Mode for Carrying Out the Invention

[0017] (Embodiment 1) <Configuration Example of Combustion System> FIG. 1 is a diagram showing a configuration example of a waste incineration facility to which a combustion system according to an embodiment of the present invention is applied. Note that, as an example of a waste incineration facility, the case of a garbage incineration facility 100 will be described.

[0018] As shown in FIG. 1, the garbage incineration facility 100 includes a charging hopper 110, a dust feeder 120, a fire grate 130, an incinerator 140, a boiler 150, a superheater 160, a carbon saver 170, a desuperheater 180, a filter type dust collector 190, and a chimney 200.

[0019] Garbage is fed into the input hopper 110 by a garbage crane or the like (not shown). Inside the incinerator 140, a dust feeder 120, a grate 130, a forced draft fan 220, etc. are provided. The dust feeder 120 sequentially supplies the garbage fed into the input hopper 110 to the grate 130.

[0020] On the grate 130, a drying device 131, a combustion device 132, and a post-combustion device 133 are provided in a stepped manner. By moving the floor portion of the grate 130 back and forth, the input garbage is conveyed inside the furnace. Hereinafter, this garbage conveyance speed will be referred to as the garbage feed speed.

[0021] The drying device 131 sends hot air (dry air) at room temperature to 200 degrees from under the floor of the grate 130 to dry the garbage. The combustion device 132 vigorously sends preheated combustion air from under the floor of the grate 130 to incinerate the dried garbage without consuming fuel. The post-combustion device 133 completely combusts the slight remaining combustion of the incinerated garbage. The incineration ash after combustion is transferred outside the incinerator. Incidentally, the ratio of the dry air by the drying device 131, the combustion air by the combustion device 132, and the post-combustion air by the post-combustion device 133 will be referred to as the distribution balance of the combustion air.

[0022] The forced draft fan 220 is a blower for sending combustion air (dry air, combustion air, post-combustion air) from under the floor of the grate 130. By heating the air using steam and then sending it into the incinerator 140, the garbage can be burned efficiently and stably. Incidentally, the secondary blower 210 sends air into the secondary combustion chamber at the upper part of the incinerator 140.

[0023] The boiler 150 utilizes the heat of the exhaust gas generated from the incinerator 140 to produce superheated steam. In addition to the main body, the boiler 150 is equipped with accessory devices called a superheater 160 and an economizer 170. By recovering heat from the exhaust gas at 800 degrees or more in the order of the main body (water tube wall), superheater 160, and economizer 170, the temperature of the exhaust gas can be reduced to about 230 degrees. The superheated steam produced here is used for the power of the turbine generator, preheating the combustion air of the incinerator 140, etc.

[0024] The desuperheating tower 180 sprays atomized water onto the exhaust gas at about 230 degrees that has passed through the economizer 170 to lower the temperature to about 180 degrees. By rapidly cooling the exhaust gas to 200 degrees or less, the desuperheating tower 180 can suppress the recombination of dioxins and make the temperature suitable for treatment by the filter of the bag filter 190.

[0025] The bag filter 190 removes dust (soot and powder contained in the smoke) contained in the exhaust gas with a special filter made of glass fiber and sends the purified exhaust gas to the chimney 200.

[0026] The boiler drum 230 separates water and superheated steam and sends the superheated steam to the superheater 160. In addition, the boiler drum 230 is equipped with a boiler blowdown device, and a part of the boiler water is discharged to the outside to prevent the concentration of the boiler water.

[0027] The exhaust gas circulation blower 240 is a device that branches off a part of the exhaust gas sent out from the bag filter 190 and blows it into the incinerator 140. The induced draft fan 250 is a device that guides the exhaust gas to the chimney 200. The white smoke prevention blower 260 is a device that mixes the air heated by a white smoke prevention air preheater (not shown) with the exhaust gas purified from the chimney 200 before exhausting it, thinning the moisture and raising the temperature to make the white cloud transparent.

[0028] Although not shown in Fig. 1, a denitration facility may be provided to reduce the emission amount of nitrogen oxides by reacting the nitrogen oxides contained in the exhaust gas with ammonia to decompose them into nitrogen and water and render them harmless.

[0029] <Explanation of each sensor provided in the waste incineration facility> Sensors (measurement devices) 310 to 480 are a group of sensors provided in each part within the waste incineration facility 100. The sensor 310 provided at the outlet of the secondary air blower 310 measures the secondary air flow rate from the secondary air blower 210.

[0030] The sensor 320 provided at the outlet of the forced draft blower 220 measures the combustion air temperature sent out from the forced draft blower 220. The sensor 330 provided between the forced draft blower 220 and the drying device 131 measures the drying air flow rate. The sensor 340 provided between the forced draft blower 220 and the combustion device 132 measures the combustion air flow rate. The sensor 350 provided between the forced draft blower 220 and the afterburner 133 measures the afterburning air flow rate.

[0031] The sensor 360 provided within the incinerator 140 measures the in-furnace spray water flow rate. The sensor 370 measures the secondary air temperature (air temperature). The sensor 380 provided at the inlet of the exhaust gas recirculation blower 240 measures the exhaust gas recirculation air flow rate.

[0032] When the denitration facility is provided, the sensor 390 provided in the vicinity thereof measures the ammonia gas flow rate, or the urea aqueous solution flow rate and the urea aqueous solution dilution water flow rate. The sensor 400 provided at the outlet of the boiler drum 230 measures the boiler blowdown water flow rate.

[0033] The sensor 410 provided in the superheater 160 measures the boiler main steam flow rate, the boiler main steam pressure, and the boiler main steam temperature. The sensor 420 provided in the economizer 170 measures the boiler feed water temperature. The sensor 430 provided at the outlet of the economizer 170 measures the economizer outlet exhaust gas temperature.

[0034] The sensor 440 provided in the desuperheating tower 180 measures the desuperheating tower spray air flow rate and the desuperheating tower spray water flow rate. The sensor 450 provided at the outlet of the filter type dust collector 190 measures the exhaust gas O 2 concentration (wet), exhaust gas O 2 concentration (dry), exhaust gas H 2 O concentration and exhaust gas CO 2 concentration (exhaust gas O at the output of the filter type dust collector 2 concentration, exhaust gas H at the output of the filter type dust collector 2 O concentration, exhaust gas CO at the output of the filter type dust collector 2 concentration).

[0035] Note that the exhaust gas O 2 concentration (wet) is the exhaust gas O containing moisture 2 concentration, and the exhaust gas O 2 concentration (dry) is the exhaust gas O without moisture 2 concentration. If the sensor 450 measures the exhaust gas H 2 O concentration or the exhaust gas CO 2 concentration, it is only necessary to measure either the exhaust gas O 2 concentration (wet) or the exhaust gas O 2 concentration (dry). Also, if the sensor 450 measures both the exhaust gas O 2 concentration (wet) and the exhaust gas O 2 concentration (dry), the measurement of the exhaust gas H 2 O concentration and the exhaust gas CO 2 concentration is unnecessary.

[0036] The sensor 460 provided at the inlet of the chimney 200 measures the exhaust gas O 2 concentration (wet), the exhaust gas O 2 concentration (dry), the exhaust gas H 2 O concentration and the exhaust gas CO 2 concentration (exhaust gas O at the chimney inlet 2 concentration, exhaust gas H at the chimney inlet 2 O concentration, exhaust gas CO at the chimney inlet 2 concentration). The sensor 470 provided at the outlet of the white smoke prevention blower 260 measures the white smoke prevention air flow rate. The sensor 480 provided inside the chimney 200 measures the chimney inlet exhaust gas flow rate.

[0037] Figure 2 shows a list of various measurement values measured by sensors 310 to 480, and summarizes the above description content. Although Figure 2 does not show the measurement values measured by the sensor 450 provided at the outlet of the filter dust collector 190, it is assumed that the same measurement values as those measured by the sensor 460 provided at the inlet of the chimney 200 are measured.

[0038] <Configuration example of information processing apparatus 1> Figure 3 is a block diagram showing a configuration example of the information processing apparatus 1 according to the present embodiment. The information processing apparatus 1 includes a measurement value acquisition unit 11, a component ratio calculation unit 12, a first calorific value calculation unit 13, an input / output heat calculation unit 14, a second calorific value calculation unit 15, a calorific value estimation unit 16, a specific gravity calculation unit 17, a display unit 18, and a control unit 19.

[0039] The measurement value acquisition unit 11 acquires various measurement values from the various sensors 310 to 480 shown in Figure 1 and outputs them to the component ratio calculation unit 12 and the input / output heat calculation unit 14. The component ratio calculation unit 12 calculates the component ratio of the garbage using the various measurement values from the various sensors 310 to 480. Hereinafter, the method for calculating the component ratio of the garbage will be described.

[0040] In addition, when implementing this calculation method, it is assumed that the following four assumptions are satisfied. However, any of these preconditions may be changed, deleted, or another precondition may be added. (Assumption a) The combustible components in the garbage are composed of hydrogen, carbon, and oxygen (nitrogen, sulfur, and chlorine can be ignored because they are in trace amounts). (Assumption b) Urea and ammonia used for denitration can be ignored. (Assumption c) Air is composed of only nitrogen and oxygen (moisture can be ignored). (Assumption d) The exhaust gas is composed of only nitrogen, oxygen, moisture, and carbon dioxide.

[0041] <Method for calculating the component ratio of garbage, method for calculating the lower calorific value A (first calorific value) based on the component ratio of garbage> The moisture concentration of the exhaust gas is the filtered dust collector output exhaust gas O 2Concentration and chimney inlet exhaust gas O 2 It can be calculated by the following formula (Formula 1) from the concentration. Note that the filtered dust collector output exhaust gas O 2 Concentration is the exhaust gas O 2 Concentration (wet), and the chimney inlet exhaust gas O 2 Concentration is the exhaust gas O 2 Concentration (dry).

[0042]

Number

[0043] The nitrogen concentration of the exhaust gas can be calculated by the following formula (Formula 2) from the nitrogen concentration in the atmosphere, the total amount of measured air, the amount of leaked air, and the chimney inlet exhaust gas flow rate (sensor 480). Note that the nitrogen concentration in the atmosphere is a constant value, and the total amount of measured air is the total of the air flow rates measured in the waste incineration facility. Also, the amount of leaked air is the air flow rate that has leaked into the incinerator 140 from the outside. Since this amount of leaked air cannot be measured, the amount of leaked air is determined by performing an optimization calculation while changing the amount of leaked air within a predetermined range as described later.

[0044]

Number

[0045] The carbon dioxide concentration of the exhaust gas can be calculated by the following formula (Formula 3) from the filtered dust collector output exhaust gas O 2 Concentration (sensor 450), the moisture concentration (Formula 1), and the nitrogen concentration (Formula 2).

[0046] Carbon dioxide concentration = 1 - (filtered dust collector output exhaust gas O 2 Concentration + moisture concentration + nitrogen concentration) ··· (Formula 3) The air ratio can be calculated by the following formula (Formula 4) from the oxygen concentration in the atmosphere and the chimney inlet exhaust gas O 2 Concentration (sensor 460). Note that the nitrogen concentration in the atmosphere is a constant value.

[0047]

Number

[0048] The theoretical air volume [km 3 N / kg] per 1 kg of waste can be calculated by the following formula (Formula 5) from the primary combustion air flow rate, the secondary combustion air flow rate, the amount of air leakage, the air ratio (Formula 4), and the incineration amount. Note that the primary combustion air flow rate is the total air flow rate of the dry air flow rate, the combustion air flow rate, and the afterburning air flow rate. Also, the secondary combustion air flow rate is the secondary air flow rate from the secondary blower 210. Also, the amount of air leakage is the amount of air leaking into the incinerator 140 and cannot be measured by a sensor.

[0049]

Number

[0050] The theoretical oxygen amount [km 3 N / kg] per 1 kg of waste can be calculated by the following formula (Formula 6) from the theoretical air volume (Formula 5) and the oxygen concentration in the atmosphere. Note that the oxygen concentration in the atmosphere is a constant value.

[0051] Theoretical oxygen amount = Theoretical air volume × Oxygen concentration in the atmosphere ··· (Formula 6) The moisture ratio of the waste has a correlation with the theoretical oxygen amount (Formula 6), and the coefficient can be obtained by simple regression analysis. The following formula (Formula 7) is a formula for obtaining the moisture ratio from the theoretical oxygen amount using the coefficient obtained by simple regression analysis, but the coefficient is not limited to these.

[0052] Moisture ratio = -0.404 × Theoretical oxygen amount + 0.686 ··· (Formula 7) The carbon ratio of the waste is related to the atomic weight of carbon and the carbon dioxide concentration in the exhaust gas (exhaust gas CO 2It can be calculated by the following formula (Formula 8) from the concentration (Sensor 450), the chimney inlet exhaust gas flow rate (Sensor 480), the volume of the ideal gas, and the amount of waste incinerated. The volume of the ideal gas is a constant value. Also, the amount of waste incinerated cannot be measured by a sensor and is generally substituted by using the moving average of the input amount of the waste crane over several hours. However, there is a problem that the residence time of the waste in the furnace after being input from the input hopper is also several hours, resulting in low immediacy. Therefore, this incineration amount is determined by performing an optimization calculation while changing the incineration amount within a predetermined range as described later.

[0053]

Number

[0054] The hydrogen ratio of the waste can be calculated by the following formula (Formula 9) from the molecular weight of hydrogen, the moisture concentration of the exhaust gas (Sensor 450), the chimney inlet exhaust gas flow rate (Sensor 480), the volume of the ideal gas, the amount of waste incinerated, the moisture ratio of the waste (Formula 7), and the amount of moisture other than the waste. As described above, the amount of waste incinerated cannot be measured.

[0055]

Number

[0056] The oxygen ratio of the waste can be calculated by the following formula (Formula 10) from the molecular weight of oxygen, the oxygen concentration of the exhaust gas (Sensor 450), the carbon dioxide concentration of the exhaust gas (Sensor 450), the volume of the ideal gas, the amount of waste incinerated, the atomic weight of oxygen, the moisture concentration of the exhaust gas (Sensor 450), the chimney inlet exhaust gas flow rate (Sensor 480), the moisture ratio of the waste (Formula 7), the amount of moisture other than the waste, the molecular weight of water, the oxygen concentration in the atmosphere, the combustion air flow rate (Sensor 340), and the amount of leaked air.

[0057]

Number

[0058] The ash content ratio of the waste can be calculated by the following formula (Formula 11) from the moisture content ratio (Formula 7), the carbon content ratio (Formula 8), the hydrogen content ratio, and the oxygen content ratio.

[0059] Ash content ratio = 1 - (moisture content ratio + carbon content ratio + hydrogen content ratio + oxygen content ratio) ··· (Formula 11) The first calorific value calculation unit 13 calculates the lower calorific value A (the first calorific value) according to the following formula (Formula 12) from the moisture content ratio (Formula 7), the carbon content ratio (Formula 8), the hydrogen content ratio (Formula 9), and the oxygen content ratio (Formula 10) calculated using (Formulas 1) to (11).

[0060] Lower calorific value A = 33.94 × carbon content ratio + 143.51 × hydrogen content ratio - 17.94 × oxygen content ratio - 2.5 × (9 × hydrogen content ratio + moisture content ratio) ··· (Formula 12) The first calorific value calculation unit 13 outputs the lower calorific value A calculated by the above-described calculation formula to the calorific value estimation unit 16.

[0061] <Method for calculating the lower calorific value B (the second calorific value) based on the heat balance of the heat input and output of the incinerator> The heat input and output calculation unit 14 calculates the heat input and output of the incinerator 140 using various measurement values from various sensors 310 to 480.

[0062] FIG. 4 is a diagram for explaining the method for calculating the heat input and output in the incinerator 140. Note that the heat balance calculation is performed so that the heat input of the incinerator 140 is the same as the heat output of the incinerator 140.

[0063] The heat input is the sum of the combustion calorific value (Qi1) of the waste, the sensible heat (Qi2) of the waste, the heat quantity (Qi3) brought in by the combustion air, the heat quantity (Qi4) brought in by the secondary combustion air, the heat quantity (Qi5) brought in by the auxiliary combustion / reburning burner, the heat quantity (Qi6) brought in by the air of the auxiliary combustion / reburning burner, and the heat quantity (Qi7) brought in by the leaked-in air.

[0064] In this embodiment, since the heat input of the incinerator 140 is calculated without using the heat quantity (Qi5) brought in by the auxiliary combustion / reburning burner and the heat quantity (Qi6) brought in by the air of the auxiliary combustion / reburning burner, these values are set to 0.

[0065] The heat output is the sum of the heat absorbed by the boiler (Qo1), the heat carried out by the boiler outlet exhaust gas (Qo2), the heat carried out by the residue (Qo3), the heat loss due to boiler blowdown (Qo4), the heat carried out by unburned carbon (Qo5), the heat radiation of the boiler (Qo6), the heat carried out by dust (Qo7), the heat radiation of the furnace body (Qo8), the latent heat of evaporation of the spray water in the furnace (Qo9), and the latent heat of evaporation of the urea water (Qo10).

[0066] The combustion heat of the waste (Qi1) [kJ / h] can be calculated by the following formula (Formula 13) from the lower calorific value B and the incineration amount of the waste. Here, the lower calorific value B is calculated by the heat balance between the heat input to the incinerator 140 and the heat output from the incinerator 140, as described later. Also, since the incineration amount of the waste cannot be measured, the incineration amount is determined by performing optimization calculations while changing the incineration amount within a predetermined range, as described later.

[0067] Combustion heat Qi1 = Lower calorific value B × Incineration amount ··· (Formula 13) The sensible heat of the waste (Qi2) [kJ / h] can be calculated by the following formula (Formula 14) from the sensible heat per unit weight and the incineration amount of the waste.

[0068] Sensible heat Qi2 = Sensible heat per unit weight × Incineration amount ··· (Formula 14) The heat carried in by the combustion air (Qi3) [kJ / h] can be calculated by the following formula (Formula 15) from the combustion air flow rate (sensor 340), the combustion air temperature (sensor 320), and the specific heat at constant pressure of the combustion air. Note that the specific heat at constant pressure of the combustion air is a constant value.

[0069] Heat carried in by combustion air Qi3 = Combustion air flow rate × Combustion air temperature × Specific heat at constant pressure of combustion air ··· (Formula 15) The heat carried in by the secondary combustion air (Qi4) [kJ / h] can be calculated by the following formula (Formula 16) from the secondary air flow rate (sensor 310), the air temperature (sensor 370), and the specific heat at constant pressure of the secondary air. Note that the specific heat at constant pressure of the secondary air is a constant value.

[0070] The heat quantity Qi4 brought in by secondary combustion air = secondary air flow rate × air temperature × specific heat at constant pressure of secondary air ··· (Equation 16) The heat quantity (Qi7) [kJ / h] brought in by the infiltrated air can be calculated by the following equation (Equation 17) from the amount of waste incinerated, the air temperature (sensor 370), and the specific heat at constant pressure of the infiltrated air. Note that the specific heat at constant pressure of the infiltrated air is a constant value.

[0071]

Number

[0072] The heat quantity absorbed by the boiler (Qo1) [kJ / h] can be calculated by the following equation (Equation 18) from the main steam flow rate of the boiler (sensor 410), the enthalpy of the main steam of the boiler, and the feed water temperature of the boiler (sensor 420). Also, the enthalpy of the main steam of the boiler can be calculated by the following equation (Equation 19) from the main steam pressure of the boiler (sensor 410) and the main steam temperature of the boiler (sensor 410).

[0073] The heat quantity absorbed by the boiler Qo1 = main steam flow rate of the boiler × (enthalpy of the main steam of the boiler - 4.1868 × feed water temperature of the boiler) ··· (Equation 18) The enthalpy of the main steam of the boiler = -18.15 × main steam pressure of the boiler + 2.47 × main steam temperature of the boiler + 2298.87 ··· (Equation 19) The heat quantity carried out by the exhaust gas of the boiler output (Qo2) [kJ / h] can be calculated by the following equation (Equation 20) from the exhaust gas flow rate of the boiler output (sensor 430), the exhaust gas temperature at the inlet of the desuperheating tower (sensor 430), and the specific heat at constant pressure of the exhaust gas. Note that the exhaust gas flow rate of the boiler output is measured by sensor 430, and the specific heat at constant pressure of the exhaust gas is a constant value.

[0074] The heat quantity carried out by the exhaust gas of the boiler output Qo2 = exhaust gas flow rate of the boiler output × exhaust gas temperature at the inlet of the desuperheating tower × specific heat at constant pressure of the exhaust gas ··· (Equation 20) The heat quantity carried out by the residue (Qo3) [kJ / h] can be calculated by the following equation (Equation 21) from the amount of waste incinerated.

[0075]

Number

[0076] The heat quantity of boiler blowdown loss (Qo4) [kJ / h] can be calculated from the boiler blowdown water flow rate (sensor 400) and the boiler feed water temperature (sensor 420) by the following formula (Formula 22).

[0077] Heat quantity of boiler blowdown loss Qo4 = Boiler blowdown water flow rate × (1190.8 - 4.1868 × Boiler feed water temperature) ··· (Formula 22) The heat quantity of unburned carbon carried out (Qo5) [kJ / h] can be calculated from the incineration amount of garbage by the following formula (Formula 23).

[0078]

Number

[0079] The heat quantity of boiler heat release (Qo6) [kJ / h] can be calculated from the heat quantity absorbed by the boiler (Qo1) and the boiler heat release loss ratio by the following formula (Formula 24). Note that the boiler heat release loss ratio is a fixed value.

[0080]

Number

[0081] The heat quantity of dust carried out (Qo7) [kJ / h] can be calculated from the incineration amount of garbage by the following formula (Formula 25).

[0082] Heat quantity of dust carried out Qo7 = 0.837 × Incineration amount × 0.099 × 0.18 ··· (Formula 25) The heat quantity of furnace body heat release (Qo8) [kJ / h] can be calculated from the incineration amount of garbage, the lower calorific value B, and the furnace heat release loss ratio by the following formula (Formula 26). Note that the furnace heat release loss ratio is a fixed value.

[0083]

Number

[0084] The latent heat of vaporization of the in-furnace spray water (Qo9) [kJ / h] can be calculated from the in-furnace spray water flow rate (sensor 360) by the following formula (Formula 27).

[0085] Latent heat of vaporization of in-furnace spray water Qo9 = In-furnace spray water flow rate × 2510 ··· (Formula 27) The latent heat of vaporization of the aqueous urea solution (Qo10) [kJ / h] can be calculated from the aqueous urea dilution water flow rate (sensor 390) and the aqueous urea solution flow rate (sensor 390) by the following formula (Formula 28).

[0086] Latent heat of vaporization of aqueous urea solution Qo10 = (Aqueous urea dilution water flow rate + 40% aqueous urea solution flow rate) × 2510 ··· (Formula 28) As described above, in order to perform the heat balance calculation so that the heat input to the incinerator 140 and the heat output from the incinerator 140 are the same, the lower calorific value B [MJ / kg] can be derived as the following formula (Formula 29) using (Formula 13) to (Formula 28). The second calorific value calculation unit 15 calculates the lower calorific value B using the following formula (Formula 29), and outputs the calculated lower calorific value B to the calorific value estimation unit 16.

[0087]

Number

[0088] <Method for estimating the lower calorific value of an incinerator> The calorific value estimation unit 16 uses the difference between the lower calorific value A calculated by the first calorific value calculation unit 13 and the lower calorific value B calculated by the second calorific value calculation unit 15 as an error function, and performs an optimization calculation so that the error function is equal to or less than the allowable error (predetermined value). The error function is as shown in the following formula (Formula 30).

[0089]

Number

[0090] Here, the calorific value estimation unit 16 estimates the lower calorific value of the incinerator by performing an optimization calculation while changing the incineration amount of the garbage that cannot be measured by the sensor and the amount of leaked air within a predetermined range, as shown in the following formula (Formula 31). In this embodiment, the lower calorific value is estimated using an optimization calculation, but the lower calorific value may be estimated using machine learning, a database, or the like.

[0091] 2000 ≤ incineration amount ≤ 4000, 0.3 ≤ amount of leaked air ≤ 2.0 ···(Formula 31) In addition, when the calorific value estimation unit 16 estimates the lower calorific value, constraint conditions are added so as to be within a range that can be assumed in the application destination plant. The calorific value estimation unit 16 may add constraint conditions so that the ash content ratio is within a predetermined range, as shown in the following formula (Formula 32), and perform an optimization calculation. Note that since the range of the incineration amount is determined by the rated processing capacity of the plant, the upper and lower limit values differ depending on the plant to which it is applied. Similarly, for the range of the amount of leaked air, the upper and lower limit values differ depending on the plant to which it is applied.

[0092] 0.01 ≤ ash content ratio ≤ 0.10 ···(Formula 32) The calorific value estimation unit 16 determines the lower calorific value A, the lower calorific value B, the incineration amount, and the amount of leaked air when the error function shown in (Formula 30) is within the allowable range (10 -4 ) or less as their respective final values. Then, the calorific value estimation unit 16 may, for example, use the average value of the lower calorific value A and the lower calorific value B as the final lower calorific value. Alternatively, the calorific value estimation unit 16 may calculate a weighted average of the lower calorific value A and the lower calorific value B and use the calculated value as the final lower calorific value.

[0093] There is a correlation between the lower calorific value and the apparent specific gravity of the garbage. The specific gravity calculation unit 17 calculates the apparent specific gravity [t / m 3 of the garbage from the lower calorific value estimated by the calorific value estimation unit 16 using this correlation. The apparent specific gravity of the garbage is as shown in the following formula (Formula 33).

[0094] Apparent specific gravity = α × lower calorific value + β ···(Formula 33) For example, α is -0.03 and β is 0.6. Since these coefficients vary depending on factors such as the type of waste and the region, they may be determined based on the relational expressions obtained from the past operation data of the plant.

[0095] The display unit 18 is constituted by, for example, a liquid crystal display or the like, and displays values such as the lower calorific value estimated by the calorific value estimation unit 16, the apparent specific gravity of the waste calculated by the specific gravity calculation unit 17, the incineration rate of the waste per unit time (the incineration pace of the waste), the component ratio of the waste, and the amount of leakage air. The operator of the waste incineration facility can refer to the various data displayed on the display unit 18 and change the feeding speed of the waste in the incinerator 140 (the grate 130), the supply amount of the waste supplied to the incinerator 140, the supply amount of the combustion air, etc.

[0096] The control unit 19 controls the feeding speed of the waste in the incinerator 140 (the grate 130), the supply amount of the waste supplied to the incinerator 140, the supply amount of the combustion air, the distribution balance of the combustion air, etc. according to the apparent specific gravity of the waste calculated by the specific gravity calculation unit 17. For example, when the apparent specific gravity of the waste is smaller compared to the average specific gravity of the waste (when there is a lot of light waste such as plastic waste and paper waste), the control unit 19 performs controls such as increasing the feeding speed of the waste in the grate 130, increasing the supply amount of the waste supplied to the incinerator 140, and decreasing the supply amount of the combustion air. Conversely, when the apparent specific gravity of the waste is larger compared to the average specific gravity of the waste (when there is a lot of heavy waste such as wet waste containing moisture and metal waste), the control unit 19 performs controls such as decreasing the feeding speed of the waste in the grate 130, decreasing the supply amount of the waste supplied to the incinerator 140, and increasing the supply amount of the combustion air.

[0097] <Processing Flow of Information Processing Apparatus 1> FIG. 5 is a flowchart showing an example of the overall processing procedure of the information processing apparatus 1 according to an embodiment of the present invention. This processing procedure S1 includes steps S11 to S22. First, the measurement value acquisition unit 11 acquires measurement values (operation data) from various sensors 310 to 480 provided in the waste incineration facility (S11).

[0098] Next, the calorific value estimation unit 16 assumes the amount of garbage incinerated and the amount of infiltrated air (S12), and sets them in the first calorific value calculation unit 13 and the second calorific value calculation unit 15. At this time, the calorific value estimation unit 16 assumes the amount of incineration and the amount of infiltrated air within the range of the above-mentioned (Equation 31).

[0099] Next, the component ratio calculation unit 12 refers to the measurement values acquired by the measurement value acquisition unit 11, and calculates the exhaust gas components and the air ratio using the above-mentioned (Equations 1) to (Equations 4) (S13). When the exhaust gas H 2 O concentration and the exhaust gas CO 2 concentration are measured, those values may be used.

[0100] Next, the component ratio calculation unit 12 calculates the theoretical air volume and the theoretical oxygen volume using the above-mentioned (Equations 5) to (Equations 6) (S14). Then, the component ratio calculation unit 12 calculates the moisture ratio of the garbage using the above-mentioned (Equation 7) (S15). And the component ratio calculation unit 12 calculates the component ratio of the garbage using the above-mentioned (Equations 8) to (Equations 11) (S16).

[0101] Next, the first calorific value calculation unit 13 calculates the lower calorific value A from the component ratio of the garbage (carbon ratio, hydrogen ratio, oxygen ratio, moisture ratio) using the above-mentioned (Equation 12) (S17).

[0102] Next, the heat input / output calculation unit 14 calculates the heat input and heat output of the incinerator 140 using the above-mentioned (Equations 13) to (Equations 28) (S18). Then, the second calorific value calculation unit 15 performs a heat balance calculation using (Equation 29) so that the heat input to the incinerator 140 and the heat output from the incinerator 140 are the same, and calculates the lower calorific value B (S19).

[0103] The calorific value estimation unit 16 calculates the difference (error function) between the lower calorific value A calculated by the first calorific value calculation unit 13 and the lower calorific value B calculated by the second calorific value calculation unit 15 using the above-mentioned (Equation 30). Then, the calorific value estimation unit 16 determines whether the difference between the lower calorific value A and the lower calorific value B is within the allowable error (predetermined value) range (S20).

[0104] If the difference between the lower calorific value A and the lower calorific value B is outside the allowable error range (S20, No), the process returns to step S12 and the subsequent processes are repeated. That is, the calorific value estimation unit 16 changes the amount of garbage incinerated and the amount of leaked air within a predetermined range shown in (Equation 31) (S12), and repeats the processes from step S13 onwards again.

[0105] Also, if the difference between the lower calorific value A and the lower calorific value B is within the allowable error range (S20, Yes), the calorific value estimation unit 16 determines the lower calorific value A, the lower calorific value B, the incineration amount, and the amount of leaked air at that time as their respective final values (S21). Note that the final lower calorific value is calculated from the lower calorific value A and the lower calorific value B determined as described above.

[0106] Finally, the specific gravity calculation unit 17 calculates the apparent specific gravity of the garbage using (Equation 33) (S22), and ends the process. Note that the display unit 18 may display values such as the lower calorific value, the apparent specific gravity of the garbage, the amount of garbage incinerated per unit time (the garbage incineration pace), the component ratio of the garbage, and the amount of leaked air. Also, the control unit 19 may control the feeding speed of the garbage in the fire grate 130, the supply amount of the garbage supplied to the incinerator 140, the supply amount of the combustion air, and the like.

[0107] FIG. 6 is a flowchart showing an example of a method for updating estimated values of the information processing apparatus 1 according to an embodiment of the present invention. In FIG. 6, the processing procedure in the case of updating the apparent specific gravity of the garbage is shown, and the same step numbers are assigned to the processes similar to the processing procedure of the flowchart shown in FIG. 5.

[0108] First, the measurement value acquisition unit 11 acquires measurement values (operation data) from various sensors 310 to 480 provided in the garbage incineration facility (S11). Then, a moving average processing time (several tens of minutes to 1 hour) is set (S31). This moving average processing is the time required for the incinerator 140 to incinerate the garbage. For example, 15 minutes is set. This moving average processing time is an example and is not limited thereto.

[0109] Next, the same processing as steps S12 to S22 of the flowchart shown in FIG. 5 is performed. Then, the specific gravity calculation unit 17 acquires the estimated value of the current apparent specific gravity (S32), and acquires the estimated value of the apparent specific gravity five minutes ago (S33). Then, the specific gravity calculation unit 17 determines whether the difference between the estimated value of the current apparent specific gravity and the estimated value of the apparent specific gravity five minutes ago is within 0.01 (S34).

[0110] If the difference between the estimated value of the current apparent specific gravity and the estimated value of the apparent specific gravity five minutes ago is within 0.01 (S34, Yes), the specific gravity calculation unit 17 updates it to the estimated value of the current apparent specific gravity (S35).

[0111] Also, if the difference between the estimated value of the current apparent specific gravity and the estimated value of the apparent specific gravity five minutes ago is greater than 0.01 (S34, No), and the difference is +0.02 or more, the specific gravity calculation unit 17 adds 0.01 to the estimated value of the apparent specific gravity five minutes ago. Also, if the difference is -0.02 or less, the specific gravity calculation unit 17 subtracts 0.01 from the estimated value of the apparent specific gravity five minutes ago (S36). This process is to prevent the apparent specific gravity of the garbage from changing rapidly because it becomes difficult to control the equipment in the garbage incineration facility when the apparent specific gravity of the garbage changes rapidly. As other methods of avoiding sudden changes, it is also conceivable to increase the time width of the moving average value of the operation data or to incorporate a first-order lag element into the estimated value. Incidentally, the apparent specific gravity of the garbage [t / m 3 is, for example, a value within the range of 0.15 to 0.4.

[0112] <Effect of the information processing apparatus 1 according to the present embodiment> As described above, according to the information processing apparatus 1 according to the present embodiment, the calorific value estimation unit 16 estimates the lower calorific value, which is the calorific value when the waste (garbage) is incinerated, so that the difference between the first calorific value (lower calorific value A) and the second calorific value (lower calorific value B) is equal to or less than a predetermined value. Therefore, the lower calorific value can be accurately estimated. Also, since the lower calorific value can be estimated in real time, the response can be made faster, such as changing the feeding speed of the garbage.

[0113] Further, the calorific value estimation unit 16 estimates the lower calorific value while changing the incineration amount of the waste and the amount of infiltrated air within a predetermined range, causing the first calorific value calculation unit 13 and the second calorific value calculation unit 15 to calculate the first calorific value and the second calorific value, and estimating the lower calorific value so that the difference becomes equal to or less than a predetermined value. Therefore, the lower calorific value can be estimated using the incineration amount of the garbage that cannot be measured and the amount of infiltrated air, and the lower calorific value can be estimated with higher accuracy.

[0114] Further, the calorific value estimation unit 16 estimates the lower calorific value so that the ash content ratio falls within a predetermined range. Therefore, the calorific value estimation unit 16 can prevent estimating the lower calorific value from the first calorific value calculated using the component ratio of the garbage when the ash content ratio is incorrect, and the lower calorific value can be estimated with higher accuracy.

[0115] Further, the specific gravity calculation unit 17 calculates the apparent specific gravity of the waste based on the lower calorific value. Therefore, automatic combustion control can be easily performed.

[0116] Further, the display unit 18 displays at least one of the lower calorific value and the apparent specific gravity of the waste. Therefore, the operator of the incinerator 140 can easily grasp this information.

[0117] Further, the control unit 19 controls at least one of the feeding speed of the waste in the incinerator 140, the supply amount of the waste supplied to the incinerator 140, and the supply amount of the combustion air based on at least the apparent specific gravity. Therefore, the number of operations that need to be performed by the operator of the incinerator can be reduced.

[0118] (Embodiment 2) FIG. 7 is a block diagram showing a configuration example of the information processing apparatus 1A according to Embodiment 2 of the present invention. Compared with the information processing apparatus 1 according to Embodiment 1 of the present invention shown in FIG. 3, only the addition of the machine learning unit 20A is different. Therefore, detailed descriptions of overlapping configurations and functions will not be repeated.

[0119] The machine learning unit 20A acquires various measurement values (operation data) of various sensors 310 to 480 output from the measurement value acquisition unit 11, the component ratio of the garbage calculated by the component ratio calculation unit 12, the lower calorific value estimated by the calorific value estimation unit 16, the amount of leaked air, the incineration amount (incineration pace) of the garbage, and the apparent specific gravity of the garbage calculated by the specific gravity calculation unit 17, and causes them to be learned by the learning model. For example, the learning model is trained to take various measurement values (operation data) as input and output the component ratio of the garbage, the lower calorific value, the amount of leaked air, the incineration amount (incineration pace) of the garbage, and the apparent specific gravity of the garbage.

[0120] For example, when the machine learning unit 20A performs learning while the combustion system 100 is operating, the control unit 19 controls the feeding speed of the garbage in the incinerator 140 (the grate 130), the supply amount of the garbage supplied to the incinerator 140, the supply amount of the combustion air, the distribution balance of the combustion air, etc. according to the apparent specific gravity of the garbage, the amount of leaked air, and the incineration amount (incineration pace) of the garbage calculated by the specific gravity calculation unit 17. At this time, the learning model performs learning using the current various measurement values (operation data) and the current component ratio of the garbage, the lower calorific value, the amount of leaked air, the incineration amount (incineration pace) of the garbage, and the apparent specific gravity of the garbage as teacher data. Hereinafter, the component ratio of the garbage, the lower calorific value, and the apparent specific gravity of the garbage will be referred to as the garbage quality.

[0121] When the learning of the learning model is sufficiently performed, the machine learning unit 20A can construct a model for estimating the garbage quality, the amount of leaked air, and the incineration pace by the above-described machine learning. The machine learning unit 20A can estimate the current garbage quality, the amount of leaked air, and the incineration pace by inputting the current operation data output from the measurement value acquisition unit 11 into the learned model online. The control unit 19 controls the feeding speed of the garbage in the incinerator 140 (the grate 130), the supply amount of the garbage supplied to the incinerator 140, the supply amount of the combustion air, the distribution balance of the combustion air, etc. using these values estimated by the machine learning unit 20A.

[0122] During the operation of the combustion system 100, information such as various measured values (operation data) may be stored in the storage unit, and after a predetermined amount or more of information is accumulated in the storage unit, the machine learning unit 20A may cause the learning model to perform learning.

[0123] In addition, if there is another waste treatment facility with a similar scale and operation tendency to the waste treatment facility, information such as the operation data of that waste treatment facility may also be used for learning, or a model obtained from a waste treatment facility with a similar operation tendency may be stored in the storage unit in advance.

[0124] As described above, according to the information processing apparatus 1A according to the present embodiment, the machine learning unit 20A causes the learning model to learn using various measured values (operation data) as inputs and outputting the component ratio of the waste, the lower calorific value, the amount of leaked air, the amount of waste incinerated (incineration pace), and the apparent specific gravity of the waste. Therefore, the information processing apparatus 1A can estimate information such as the current waste quality by simply inputting the current operation data output from the measurement value acquisition unit 11 into the learned model.

[0125] (Embodiment 3) FIG. 8 is a block diagram showing a configuration example of an information processing apparatus 1B according to Embodiment 3 of the present invention. Compared with the information processing apparatus 1 according to Embodiment 1 of the present invention shown in FIG. 3, only the machine learning unit 20B and the storage unit 21B are added. Therefore, detailed descriptions of overlapping configurations and functions will not be repeated.

[0126] The storage unit 21B acquires various measured values (operation data) of various sensors 310 to 480 output from the measurement value acquisition unit 11 and stores them in time series. For example, the storage unit 21B acquires various measured values (operation data) from the measurement value acquisition unit 11 and stores them together with the date and time at that time.

[0127] When a predetermined amount or more of various measured values (operation data) are accumulated in the storage unit 21B, the machine learning unit 20B refers to the information stored in the storage unit 21B, and for example, causes the learning model to learn using various measured values (operation data) as inputs and outputting various measured values (operation data) a few minutes later.

[0128] For example, when the machine learning unit 20B performs learning while the combustion system 100 is operating, the control unit 19, according to the apparent specific gravity of the garbage, the amount of leaked air, and the amount of garbage incinerated (incineration pace) calculated by the specific gravity calculation unit 17, controls the feeding speed of the garbage in the incinerator 140 (grate 130), the supply amount of the garbage supplied to the incinerator 140, the supply amount of the combustion air, the distribution balance of the combustion air, etc. At this time, the learning model refers to the information stored in the storage unit 21B and performs learning using various measured values (operation data) a few minutes ago and various current measured values (operation data) as teacher data.

[0129] When the learning of the learning model is sufficiently performed, the machine learning unit 20B can construct a model for estimating various measured values (operation data) a few minutes later by the above-described machine learning. The machine learning unit 20B can estimate various measured values (operation data) a few minutes later by inputting the current operation data output from the measurement value acquisition unit 11 into the learned model online.

[0130] The control unit 19 outputs various measured values (operation data) a few minutes later estimated by the machine learning unit 20B to the component ratio calculation unit 12 and the input / output heat calculation unit 14, whereby the information processing device 1B calculates the component ratio of the garbage, the lower calorific value, the amount of leaked air, the amount of garbage incinerated (incineration pace), and the apparent specific gravity of the garbage a few minutes later.

[0131] In addition, if there is another waste treatment facility with a similar scale and operation tendency of the waste treatment facility, information such as the operation data of that waste treatment facility may also be used for learning, or a model obtained from a waste treatment facility with a similar operation tendency may be stored in the storage unit in advance.

[0132] As described above, according to the information processing apparatus 1B according to the present embodiment, the machine learning unit 20B causes the learning model to learn using various measurement values (operation data) as input and outputting various measurement values (operation data) several minutes later. Therefore, the information processing apparatus 1B can calculate the component ratio of garbage, the lower calorific value, the amount of leaked air, the amount of garbage incinerated (incineration pace), and the apparent specific gravity of garbage several minutes later.

[0133] (Embodiment 4) FIG. 9 is a block diagram showing a configuration example of an information processing apparatus 1C according to Embodiment 4 of the present invention. Compared with the information processing apparatus 1 according to Embodiment 1 of the present invention shown in FIG. 3, only the machine learning unit 20C and the storage unit 21C are added. Therefore, detailed descriptions of overlapping configurations and functions will not be repeated.

[0134] The storage unit 21C acquires various measurement values (operation data) of various sensors 310 to 480 output from the measurement value acquisition unit 11, the component ratio of garbage calculated by the component ratio calculation unit 12, the lower calorific value estimated by the calorific value estimation unit 16, the amount of leaked air, the amount of garbage incinerated (incineration pace), and the apparent specific gravity of garbage calculated by the specific gravity calculation unit 17, and stores them in time series. For example, the storage unit 21C acquires various measurement values (operation data), the component ratio of garbage, the lower calorific value, the amount of leaked air, the amount of garbage incinerated (incineration pace), and the apparent specific gravity of garbage, and stores them together with the date and time at that time.

[0135] When a predetermined amount or more of information is accumulated in the storage unit 21C, the machine learning unit 20C refers to the information stored in the storage unit 21C, and for example, uses various measurement values (operation data) as input and causes the learning model to learn so as to output the component ratio of garbage, the lower calorific value, the amount of leaked air, the amount of garbage incinerated (incineration pace), and the apparent specific gravity of garbage several minutes later.

[0136] For example, when the machine learning unit 20C performs learning while the combustion system 100 is in operation, the control unit 19, according to the apparent specific gravity of the garbage, the amount of leaked air, and the amount of garbage incinerated (incineration pace) calculated by the specific gravity calculation unit 17, controls the feeding speed of the garbage in the incinerator 140 (grate 130), the supply amount of the garbage supplied to the incinerator 140, the supply amount of the combustion air, the distribution balance of the combustion air, etc. At this time, the learning model refers to the information stored in the storage unit 21C, and performs learning using various measured values (operation data) a few minutes ago and the current component ratio of the garbage, lower calorific value, amount of leaked air, amount of garbage incinerated (incineration pace), and apparent specific gravity of the garbage as teacher data.

[0137] When the learning of the learning model is sufficiently performed, the machine learning unit 20C can construct a model for estimating the garbage quality a few minutes later by the above-mentioned machine learning. The machine learning unit 20C can estimate the garbage quality, the amount of leaked air, and the incineration pace a few minutes later by inputting the current operation data output from the measurement value acquisition unit 11 into the learned model online. The control unit 19 controls the feeding speed of the garbage in the incinerator 140 (grate 130), the supply amount of the garbage supplied to the incinerator 140, the supply amount of the combustion air, the distribution balance of the combustion air, etc. using these values estimated by the machine learning unit 20C.

[0138] If there are other waste treatment facilities with similar scales and operation trends in the waste treatment facility, information such as the operation data of those waste treatment facilities can also be used for learning, or a model obtained from a waste treatment facility with a similar operation trend can be stored in the storage unit in advance.

[0139] As described above, according to the information processing apparatus 1C according to the present embodiment, the machine learning unit 20C causes the learning model to perform learning so as to input various measured values (operation data) and output the component ratio of the garbage, the lower calorific value, the amount of leaked air, the amount of garbage incinerated (incineration pace), and the apparent specific gravity of the garbage a few minutes later. Therefore, the information processing apparatus 1C can estimate information such as the garbage quality a few minutes later only by inputting the current operation data output from the measurement value acquisition unit 11 into the learned model.

[0140] <Example of Realization by Software> The functions of the information processing apparatuses 1, 1A, 1B, and 1C (hereinafter referred to as "apparatus") are programs for causing a computer to function as the apparatus, and are programs for causing a computer to function as each control block of the apparatus (particularly, the component ratio calculation unit 12, the first calorific value calculation unit 13, the input / output heat calculation unit 14, the second calorific value calculation unit 15, the calorific value estimation unit 16, the specific gravity calculation unit 17, the control unit 19, and the machine learning units 20A, 20B, and 20C), and can be realized.

[0141] In this case, the apparatus includes, as hardware for executing the program, a computer having at least one control device (for example, a processor) and at least one storage device (for example, a memory). By executing the program with this control device and storage device, each function described in each of the above embodiments is realized.

[0142] The program may be recorded on one or more computer-readable recording media, rather than being temporary. This recording medium may or may not be provided in the apparatus. In the latter case, the program may be supplied to the apparatus via any wired or wireless transmission medium.

[0143] Also, part or all of the functions of each of the above control blocks can also be realized by a logic circuit. For example, an integrated circuit in which a logic circuit functioning as each of the above control blocks is formed is also included in the scope of the present invention. In addition to this, for example, it is also possible to realize the functions of each of the above control blocks by a quantum computer.

[0144] 〔Summary〕 The combustion system according to Aspect 1 of the present invention is a measurement value acquisition unit that acquires measurement values measured by a plurality of measurement devices provided in a waste incineration facility, a component ratio calculation unit that calculates the component ratio of the waste based on the measurement values measured by the plurality of measurement devices, A first calorific value calculation unit that calculates a first calorific value when the waste is incinerated, estimated from the component ratio of the waste; An input / output heat calculation unit that calculates the heat input to the incinerator and the heat output from the incinerator based on the measurement values measured by the plurality of measurement devices; A second calorific value calculation unit that calculates a second calorific value when the waste is incinerated, estimated from the heat balance between the heat input and the heat output of the incinerator; A calorific value estimation unit that estimates the lower calorific value, which is the calorific value when the waste is incinerated, such that the difference between the first calorific value and the second calorific value is equal to or less than a predetermined value.

[0145] The combustion system according to aspect 2 of the present invention is the combustion system according to aspect 1, The calorific value estimation unit causes the first calorific value calculation unit and the second calorific value calculation unit to calculate the first calorific value and the second calorific value while changing the incineration amount of the waste and the amount of leaked air within a predetermined range, and estimates the lower calorific value such that the difference is equal to or less than a predetermined value.

[0146] The combustion system according to aspect 3 of the present invention is the combustion system according to aspect 2, The component ratio calculation unit calculates the ash content ratio of the waste, The calorific value estimation unit estimates the lower calorific value such that the ash content ratio falls within a predetermined range.

[0147] The combustion system according to aspect 4 of the present invention is the combustion system according to any one of aspects 1 to 3, The combustion system further includes a specific gravity calculation unit that calculates the apparent specific gravity of the waste based on the lower calorific value.

[0148] The combustion system according to aspect 5 of the present invention is the combustion system according to aspect 4, The specific gravity calculation unit sets a lower limit value and an upper limit value based on the previous apparent specific gravity, If the calculated current apparent specific gravity is between the lower limit value and the upper limit value, the current apparent specific gravity is set as the apparent specific gravity. If the current apparent proportion is greater than or equal to the upper limit value, the upper limit value is used as the apparent proportion. If the current apparent proportion is less than or equal to the lower limit value, the lower limit value is used as the apparent proportion.

[0149] The combustion system according to aspect 6 of the present invention is the combustion system according to aspect 4, wherein the combustion system further includes a display unit that displays at least one of the lower calorific value and the apparent proportion of the waste.

[0150] The combustion system according to aspect 7 of the present invention is the combustion system according to aspect 4, wherein the combustion system further includes a control unit that controls at least one of the feeding speed of the waste in the incinerator, the supply amount of the waste supplied to the incinerator, the supply amount of combustion air, and the distribution balance of the combustion air based on at least the apparent proportion.

[0151] The information processing apparatus according to aspect 8 of the present invention includes a measurement value acquisition unit that acquires measurement values measured by a plurality of measurement devices provided in a waste incineration facility, a component ratio calculation unit that calculates the component ratio of the waste based on the measurement values measured by the plurality of measurement devices, a first calorific value calculation unit that calculates a first calorific value when the waste is incinerated, which is estimated from the component ratio of the waste, an input / output heat calculation unit that calculates the input heat and the output heat of the incinerator based on the measurement values measured by the plurality of measurement devices, a second calorific value calculation unit that calculates a second calorific value when the waste is incinerated, which is estimated from the heat balance between the input heat and the output heat of the incinerator, and a calorific value estimation unit that estimates the lower calorific value, which is the calorific value when the waste is incinerated, such that the difference between the first calorific value and the second calorific value is less than or equal to a predetermined value.

[0152] The information processing method according to aspect 9 of the present invention A step of obtaining measurement values measured by a plurality of measuring devices provided in a waste incineration facility; A step of calculating the component ratio of the waste based on the measurement values measured by the plurality of measuring devices; A step of calculating a first calorific value when the waste is incinerated, which is estimated from the component ratio of the waste; A step of calculating the heat input to the incinerator and the heat output from the incinerator based on the measurement values measured by the plurality of measuring devices; A step of calculating a second calorific value when the waste is incinerated, which is estimated from the heat balance between the heat input and the heat output of the incinerator; A step of estimating the lower calorific value, which is the calorific value when the waste is incinerated, such that the difference between the first calorific value and the second calorific value is equal to or less than a predetermined value.

[0153] The program according to Aspect 10 of the present invention is To cause a computer to A process of obtaining measurement values measured by a plurality of measuring devices provided in a waste incineration facility; A process of calculating the component ratio of the waste based on the measurement values measured by the plurality of measuring devices; A process of calculating a first calorific value when the waste is incinerated, which is estimated from the component ratio of the waste; A process of calculating the heat input to the incinerator and the heat output from the incinerator based on the measurement values measured by the plurality of measuring devices; A process of calculating a second calorific value when the waste is incinerated, which is estimated from the heat balance between the heat input and the heat output of the incinerator; A process of estimating the lower calorific value, which is the calorific value when the waste is incinerated, such that the difference between the first calorific value and the second calorific value is equal to or less than a predetermined value.

[0154] [Supplementary Notes] The present invention is not limited to the above-described embodiments, and various modifications are possible within the scope shown in the claims. Embodiments obtained by appropriately combining the technical means disclosed in different embodiments are also included in the technical scope of the present invention.

Explanation of Symbols

[0155] 1, 1A, 1B, 1C Information Processing Device 11 Measurement Value Acquisition Unit 12 Component Ratio Calculation Unit 13 First Heat Generation Amount Calculation Unit 14 Input / Output Heat Calculation Unit 15 Second Heat Generation Amount Calculation Unit 16 Heat Generation Amount Estimation Unit 17 Specific Gravity Calculation Unit 18 Display Unit 19 Control Unit 20A, 20B, 20C Machine Learning Unit 21B, 21C Memory Unit 100 Waste Incineration Facility 110 Input Hopper 120 Dust Feeding Device 130 Fire Grate 131 Drying Device 132 Combustion Device 133 Afterburner 140 Incinerator 150 Boiler 160 Superheater 170 Carbon Saver 180 Desuperheater Tower 190 Filter-Type Dust Collector 200 Chimney 210 Secondary Blower 220 Pressurized Blower 230 Boiler Drum 240 Exhaust Gas Recirculation Blower 250 Induced Draft Blower 260 White Smoke Prevention Blower 310 - 480 Sensor

Claims

1. A measured value acquisition unit that acquires measured values measured by a plurality of measuring devices provided in a waste incineration facility; A component ratio calculation unit that calculates the component ratio of the waste based on the measured values measured by the plurality of measuring devices; A first calorific value calculation unit that calculates a first calorific value when the waste is incinerated, which is estimated from the component ratio of the waste; An input / output heat calculation unit that calculates the heat input to the incinerator and the heat output from the incinerator based on the measured values measured by the plurality of measuring devices; A second calorific value calculation unit that calculates a second calorific value when the waste is incinerated, which is estimated from the heat balance between the heat input and the heat output of the incinerator; A calorific value estimation unit that estimates the lower calorific value, which is the calorific value when the waste is incinerated, so that the difference between the first calorific value and the second calorific value is equal to or less than a predetermined value; A combustion system comprising:

2. The calorific value estimation unit changes the incineration amount of the waste and the amount of leaked air within a predetermined range, causes the first calorific value calculation unit and the second calorific value calculation unit to calculate the first calorific value and the second calorific value, and estimates the lower calorific value so that the difference is equal to or less than a predetermined value. The combustion system according to claim 1.

3. The component ratio calculation unit calculates the ash content ratio of the waste, The calorific value estimation unit estimates the lower calorific value so that the ash content ratio is within a predetermined range. The combustion system according to claim 2.

4. The combustion system further includes a specific gravity calculation unit that calculates the apparent specific gravity of the waste based on the lower calorific value. The combustion system according to any one of claims 1 to 3.

5. The specific gravity calculation unit sets a lower limit value and an upper limit value based on the previous apparent specific gravity, If the calculated current apparent specific gravity is between the lower limit value and the upper limit value, the current apparent specific gravity is used as the apparent specific gravity, If the current apparent specific gravity is equal to or greater than the upper limit value, the upper limit value is used as the apparent specific gravity, If the current apparent specific gravity is equal to or less than the lower limit value, the lower limit value is used as the apparent specific gravity. The combustion system according to claim 4.

6. The combustion system further includes a display unit that displays at least one of the lower calorific value and the apparent specific gravity of the waste. The combustion system according to claim 4.

7. The combustion system further includes a control unit that controls at least any one of the feeding speed of the waste in the incinerator, the supply amount of the waste supplied to the incinerator, the supply amount of combustion air, and the distribution balance of the combustion air, based on at least the apparent specific gravity. The combustion system according to claim 4.

8. A measured value acquisition unit that acquires measured values measured by a plurality of measuring devices provided in a waste incineration facility; A component ratio calculation unit that calculates the component ratio of the waste based on the measured values measured by the plurality of measuring devices; A first calorific value calculation unit that calculates a first calorific value when the waste is incinerated, estimated from the component ratio of the waste; An input / output heat calculation unit that calculates the input heat and the output heat of the incinerator based on the measured values measured by the plurality of measuring devices; A second calorific value calculation unit that calculates a second calorific value when the waste is incinerated, estimated from the heat balance between the input heat and the output heat of the incinerator; A calorific value estimation unit that estimates the lower calorific value, which is the calorific value when the waste is incinerated, such that the difference between the first calorific value and the second calorific value is equal to or less than a predetermined value; An information processing apparatus comprising the above.

9. A step of acquiring measured values measured by a plurality of measuring devices provided in a waste incineration facility; A step of calculating the component ratio of the waste based on the measured values measured by the plurality of measuring devices; A step of calculating a first calorific value when the waste is incinerated, estimated from the component ratio of the waste; A step of calculating the input heat and the output heat of the incinerator based on the measured values measured by the plurality of measuring devices; A step of calculating a second calorific value when the waste is incinerated, estimated from the heat balance between the input heat and the output heat of the incinerator; A step of estimating the lower calorific value, which is the calorific value when the waste is incinerated, such that the difference between the first calorific value and the second calorific value is equal to or less than a predetermined value; An information processing method including the above.

10. A computer is caused to perform a process of acquiring measured values measured by a plurality of measuring devices provided in a waste incineration facility; perform a process of calculating the component ratio of the waste based on the measured values measured by the plurality of measuring devices; perform a process of calculating a first calorific value when the waste is incinerated, estimated from the component ratio of the waste; perform a process of calculating the input heat and the output heat of the incinerator based on the measured values measured by the plurality of measuring devices; A process of calculating a second calorific value when the waste is incinerated, which is estimated from the heat balance between the heat input and the heat output of the incinerator; A program that executes a process of estimating the lower calorific value, which is the calorific value when the waste is incinerated, such that the difference between the first calorific value and the second calorific value is equal to or less than a predetermined value.

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