Method for estimating heat value of garbage entering furnace according to heat value of garbage entering furnace

Abstract

The invention relates to the technical field of waste incineration, in particular to a method for estimating the heat value of garbage entering a furnace through the heat value of garbage entering the furnace, which comprises the following steps of: 1, establishing a function relationship between the garbage fermentation time and the garbage moisture content; 2, counting the influence of the garbage fermentation time on the garbage water content in the curve graph, and obtaining a first linear regression equation; step 3, establishing a function relationship between the garbage fermentation time and the total garbage weight; 4, the influence of the garbage fermentation time on the total weight of the garbage is counted in the curve graph, and a second linear regression equation is obtained; and 5, combining the first linear regression equation, the second linear regression equation, the calculation formula of the dry basis hydrogen element content and the garbage fermentation time correction coefficient into the calculation formula of the furnace entering garbage heat value, and finally obtaining the furnace entering and exiting garbage heat value. According to the method for estimating the heat value of the garbage entering the furnace through the heat value of the garbage entering the furnace, the heat value of the garbage entering the furnace can be accurately estimated, and a reliable basis is provided for rear-end combustion.

Description

Technical Field

[0001] The invention relates to the technical field of waste incineration, in particular to a method for estimating the calorific value of waste entering a furnace based on the calorific value of the waste entering a factory. Background Art

[0002] Waste incineration power generation technology is the preferred waste treatment method in most cities in my country. The biggest feature of waste power plants compared to conventional fuel power plants is the different fuel characteristics. Waste has multiple components, multiple forms, high moisture content, etc. Due to its complex composition, the calorific value varies greatly. The calorific value of the waste entering the furnace is the determining factor of the efficiency of the incinerator. If the calorific value of the waste entering the furnace is low, the equipment will be in low-load operation for a long time, resulting in insufficient steam production and steam parameters, and even requiring fuel injection and other combustion aids to ensure that environmental protection indicators and power generation parameters are met; if the calorific value of the waste entering the furnace is too high, it will cause the heating surface to overheat and the waste treatment volume to decrease, which will greatly reduce the power generation and intensify the coking of the furnace and flue. Therefore, the determination of the calorific value of the waste entering the furnace is crucial to the stability and economic operation of the incinerator's automatic combustion control system.

[0003] The transport truck dumps the garbage into the garbage storage pit (incoming garbage), where some organic matter in the garbage is fermented, degraded and dehydrated (i.e. leachate), and then continuously mixed by the grab bucket before entering the incinerator for combustion (incoming garbage). In actual operation, the grab bucket grabs the incoming garbage from the garbage storage pit for calorific value detection, which often fails to ensure the representativeness of the garbage sample, and it is difficult to classify the physical composition analysis of the fermented garbage, resulting in large errors in subsequent calorific value testing, making it difficult to provide an effective basis for the operation of the incineration plant. Summary of the invention

[0004] The purpose of the present invention is to provide a method for estimating the calorific value of garbage entering the furnace based on the calorific value of the garbage entering the factory, which can solve the problem that the sampling of garbage entering the furnace in actual operation is difficult to be representative, resulting in large errors in calorific value analysis and failure to provide effective basis for the operation of the incineration plant.

[0005] The technical solution of the present invention:

[0006] A method for estimating the calorific value of waste entering the furnace from the calorific value of waste entering the factory, the method is as follows:

[0007] Step 1: Establish a functional relationship between garbage fermentation time and garbage moisture content;

[0008] Step 2: Statistically calculate the effect of garbage fermentation time on garbage moisture content in the curve chart and obtain the first linear regression equation;

[0009] Step 3: Establish a functional relationship between garbage fermentation time and total garbage weight;

[0010] Step 4: Statistically calculate the effect of garbage fermentation time on the total weight of garbage in the curve chart, and obtain the second linear regression equation;

[0011] Step 5: Combine the first linear regression equation, the second linear regression equation, the calculation formula of dry basis hydrogen content, and the garbage fermentation time correction coefficient into the calculation formula of the calorific value of the garbage entering the furnace, and finally obtain the calorific value of the garbage entering the furnace.

[0012] Furthermore, in step 5, the calculation formula for the calorific value of the waste entering the furnace and the calculation formula for the dry basis hydrogen content are obtained by the following method:

[0013]

[0014] Among them, Q' j(h) —Higher calorific value on dry basis, i.e. calorific value of waste entering the factory, kJ / kg; Q (h) —Higher calorific value on wet basis, kJ / kg; Q (l) —wet basis lower calorific value, i.e. calorific value of waste entering the furnace, kJ / kg; H'—dry basis hydrogen content, %; H' i —Hydrogen content of a component on dry basis, %; C' i — dry basis percentage of a component, %; j—repeated measurement number; m—number of repeated measurements; i—sequence number of each component; n—number of components; 24.4—heat of condensation constant of water, kJ / kg; C (w) —Sample moisture content, i.e., the moisture content of the waste entering the furnace, %; C i(w) — moisture content of a certain component, %; C i —Wet basis content of a certain ingredient, %; M i —Wet weight of a certain component, kg; M—Total weight of sample, i.e. total weight of waste entering the furnace, kg; M' i —Dry weight of a component, kg;

[0015] Substituting formulas ① and ② into ③, we get formula ⑧:

[0016] Q (l) =Q' j(h) -(24.4+0.01Q' j(h) )×C (w) +(2.196C (w) -219.6)×H'⑧

[0017] Formula ⑦ can be used to obtain formula 9:

[0018] Substituting formula ⑨ and ⑤ into ⑥, we get formula ⑩:

[0019] Substitute formula ⑩ into formula ② to obtain the formula

[0020] formula Medium parameter H' i , M' i And the parameter Q' in formula ⑧ j(h) All of them are dry-basis values, which do not change with the fermentation time of garbage, and can be directly used as the test value of the garbage entering the factory. (w) The value of will change with the fermentation time of garbage, so as long as C (w) The value of M can determine the calorific value Q of the garbage entering the furnace. (l) .

[0021] Furthermore, the step 1 is further specified as follows: a functional relationship is established between the garbage fermentation time and the garbage moisture content, and there is a linear relationship between the two:

[0022] Among them, C (w) is the moisture content of the sample, a is the moisture content slope, t is the garbage fermentation time, and b is the moisture content of the garbage entering the factory.

[0023] Furthermore, the step 2 is further specified as follows: statistically calculate the effect of garbage fermentation time on garbage moisture content in the curve graph, and obtain the first linear regression equation y1=-1.6383x1+55.81, and the correlation R1 2 =0.9916; x1 is the independent variable, which refers to the garbage fermentation time, in days (d); y1 is the dependent variable, which refers to the garbage moisture content, in %. Therefore, in the formula , a=1.6383, b=55.81.

[0024] Furthermore, the step 3 is further specified as follows: a functional relationship is established between the garbage fermentation time and the total weight of the garbage, and there is a linear relationship between the two:

[0025] Among them, M is the total weight of garbage entering the furnace, c is the total weight slope, t is the garbage fermentation time, and d is the total weight of garbage entering the factory.

[0026] Furthermore, the step 4 is further specified as follows: the influence of the garbage fermentation time on the total weight of the garbage is statistically calculated in the curve graph, and the second linear regression equation y2=-2.8769x2+195.97 is obtained, and the correlation R2 2 =0.9120; x2 is the independent variable, which refers to the garbage fermentation time, in days (d); y2 is the dependent variable, which refers to the total weight of garbage, in kg; therefore, in the formula In this case, c=2.8769 and d=195.97.

[0027] Furthermore, the fermentation time of garbage is greatly affected by the ambient temperature of the garbage storage pit, so it is necessary to correct the fermentation time t and introduce a garbage fermentation time correction coefficient k; as the ambient temperature increases, the fermentation time shortens, and the correction coefficient k also changes with the temperature. The actual fermentation time is the theoretical fermentation time multiplied by the k value;

[0028] In spring, from February to April, the ambient temperature is slightly lower than the optimal fermentation temperature, the correction coefficient k = 1.2, and the actual fermentation time is 1.2t;

[0029] In summer, from May to July, the ambient temperature is higher than the optimal fermentation temperature, the correction coefficient k = 0.8, and the actual fermentation time is 0.8t;

[0030] In autumn, from August to October, the ambient temperature is equivalent to the optimal fermentation temperature, the correction coefficient k = 1, and the actual fermentation time is t;

[0031] In winter, from November to January, the ambient temperature is lower than the optimal fermentation temperature, the correction coefficient k = 1.4, and the actual fermentation time is 1.4t.

[0032] Furthermore, according to formula ⑧ The wet basis lower calorific value is obtained by adding the fermentation time correction coefficient, that is, the calorific value of the garbage entering the furnace Q (l) :

[0033]

[0034] Among them, Q (l) —Wet basis lower calorific value, i.e. calorific value of waste entering the furnace, kJ / kg; Q' j(h) —High calorific value on dry basis, i.e. calorific value of garbage entering the factory, kJ / kg; a—moisture content slope; t—garbage fermentation time, days; b is the moisture content of garbage entering the factory, %; H' i —Hydrogen content of a component on dry basis, %; M' i —dry weight of a certain component, kg; c—total weight slope; d—total weight of incoming waste, kg; k-fermentation time correction coefficient; i—ordinal number of each component; n—number of components; 24.4—condensation heat constant of water, kJ / kg.

[0035] Beneficial effects of the present invention:

[0036] The present invention can solve the problem that the sampling of the garbage entering the furnace is difficult to be representative in actual operation, resulting in large errors in the calorific value test and failure to provide effective basis for the operation of the incineration plant. The sampling of the garbage entering the factory is relatively simple, which can better ensure the representativeness of the sample and greatly reduce the error of the calorific value test. The present invention can accurately estimate the calorific value of the garbage entering the furnace and provide a reliable basis for the back-end combustion. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is a curve chart showing the effect of garbage fermentation time on its moisture content.

[0038] Figure 2 It is a curve chart showing the effect of garbage fermentation time on its total weight. DETAILED DESCRIPTION

[0039] The present invention will be further described below in conjunction with the accompanying drawings.

[0040] The present invention provides a first embodiment of a method for estimating the calorific value of waste entering a furnace from the calorific value of waste entering a factory, and the method is as follows:

[0041] Step 1: Establish a functional relationship between garbage fermentation time and garbage moisture content;

[0042] Step 2: Statistically calculate the effect of garbage fermentation time on garbage moisture content in the curve chart and obtain the first linear regression equation;

[0043] Step 3: Establish a functional relationship between garbage fermentation time and total garbage weight;

[0044] Step 4: Statistically calculate the effect of garbage fermentation time on the total weight of garbage in the curve chart, and obtain the second linear regression equation;

[0045] Step 5: Combine the first linear regression equation, the second linear regression equation, the calculation formula of dry basis hydrogen content, and the garbage fermentation time correction coefficient into the calculation formula of the calorific value of the garbage entering the furnace, and finally obtain the calorific value of the garbage entering the furnace.

[0046] In step 5, the calculation formula of the calorific value of the waste entering the furnace and the calculation formula of the dry basis hydrogen content are obtained by the following method:

[0047]

[0048] Among them, Q' j(h) —Higher calorific value on dry basis, i.e. calorific value of waste entering the factory, kJ / kg; Q (h) —Higher calorific value on wet basis, kJ / kg; Q (l) —wet basis lower calorific value, i.e. calorific value of waste entering the furnace, kJ / kg; H'—dry basis hydrogen content, %; H' i —Hydrogen content of a component on dry basis, %; C' i — dry basis percentage of a component, %; j—repeated measurement number; m—number of repeated measurements; i—sequence number of each component; n—number of components; 24.4—heat of condensation constant of water, kJ / kg; C (w) —Sample moisture content, i.e., the moisture content of the waste entering the furnace, %; C i(w) — moisture content of a certain component, %; C i —Wet basis content of a certain ingredient, %; M i—Wet weight of a certain component, kg; M—Total weight of sample, i.e. total weight of waste entering the furnace, kg; M' i —Dry weight of a component, kg;

[0049] Substituting formulas ① and ② into ③, we get formula ⑧:

[0050] Q (l) =Q' j(h) -(24.4+0.01Q' j(h) )×C (w) +(2.196C (w) -219.6)×H'⑧

[0051] Formula ⑦ can be used to obtain formula 9:

[0052] Substituting formula ⑨ and ⑤ into ⑥, we get formula ⑩:

[0053] Substitute formula ⑩ into formula ② to obtain the formula

[0054] formula Medium parameter H' i , M' i And the parameter Q' in formula ⑧ j(h) All of them are dry-basis values, which do not change with the fermentation time of garbage, and can be directly used as the test value of the garbage entering the factory. (w) The value of will change with the fermentation time of garbage, so as long as C (w) The value of M can determine the calorific value Q of the garbage entering the furnace. (l) .

[0055] The step 1 is further specifically as follows: a functional relationship is established between the garbage fermentation time and the garbage moisture content, and there is a linear relationship between the two:

[0056] Among them, C (w) is the moisture content of the sample, a is the moisture content slope, t is the garbage fermentation time, and b is the moisture content of the garbage entering the plant.

[0057] The step 2 is further specifically as follows: statistically calculate the effect of garbage fermentation time on garbage moisture content in the curve chart, and obtain the first linear regression equation y1=-1.6383x1+55.81, and the correlation R1 2 =0.9916; x1 is the independent variable, which refers to the garbage fermentation time, in days (d); y1 is the dependent variable, which refers to the garbage moisture content, in %. Therefore, in the formula , a=1.6383, b=55.81.

[0058] The step 3 is further specifically as follows: a functional relationship is established between the garbage fermentation time and the total weight of the garbage, and there is a linear relationship between the two:

[0059] Among them, M is the total weight of garbage entering the furnace, c is the total weight slope, t is the garbage fermentation time, and d is the total weight of garbage entering the factory.

[0060] The step 4 is further specifically as follows: statistically calculate the effect of garbage fermentation time on the total weight of garbage in the curve chart, and obtain the second linear regression equation y2=-2.8769x2+195.97, and the correlation R2 2 =0.9120; x2 is the independent variable, which refers to the garbage fermentation time, in days (d); y2 is the dependent variable, which refers to the total weight of garbage, in kg; therefore, in the formula In this case, c=2.8769 and d=195.97.

[0061] Based on the previous embodiment, the present invention provides a second embodiment. The fermentation time of garbage is greatly affected by the ambient temperature of the garbage storage pit, so the fermentation time t needs to be corrected, and a garbage fermentation time correction coefficient k is introduced; as the ambient temperature increases, the fermentation time is shortened, and the correction coefficient k also changes with the change of temperature, and the actual fermentation time is the theoretical fermentation time multiplied by the k value;

[0062] In spring, from February to April, the ambient temperature is slightly lower than the optimal fermentation temperature, the correction coefficient k = 1.2, and the actual fermentation time is 1.2t;

[0063] In summer, from May to July, the ambient temperature is higher than the optimal fermentation temperature, the correction coefficient k = 0.8, and the actual fermentation time is 0.8t;

[0064] In autumn, from August to October, the ambient temperature is equivalent to the optimal fermentation temperature, the correction coefficient k = 1, and the actual fermentation time is t;

[0065] In winter, from November to January, the ambient temperature is lower than the optimal fermentation temperature, the correction coefficient k = 1.4, and the actual fermentation time is 1.4t.

[0066] According to formula ⑧ The wet basis lower calorific value is obtained by adding the fermentation time correction coefficient, that is, the calorific value of the garbage entering the furnace Q (l) :

[0067]

[0068] Among them, Q (l) —Wet basis lower calorific value, i.e. calorific value of waste entering the furnace, kJ / kg; Q' j(h) —High calorific value on dry basis, i.e. calorific value of garbage entering the factory, kJ / kg; a—moisture content slope; t—garbage fermentation time, days; b is the moisture content of garbage entering the factory, %; H'i —Hydrogen content of a component on dry basis, %; M' i —dry weight of a certain component, kg; c—total weight slope; d—total weight of incoming waste, kg; k-fermentation time correction coefficient; i—ordinal number of each component; n—number of components; 24.4—condensation heat constant of water, kJ / kg.

[0069] The present invention is further described below in conjunction with a specific embodiment:

[0070] A method for estimating the calorific value of waste entering the furnace from the calorific value of waste entering the factory.

[0071] According to the calorific value empirical formula of CJ / T313-2009 "Methods for sampling and analysis of domestic waste"

[0072]

[0073]

[0074] Among them, Q' j(h) —Higher calorific value on dry basis, i.e. calorific value of waste entering the factory, kJ / kg; Q (h) —Higher calorific value on wet basis, kJ / kg; Q (l) —wet basis lower calorific value, i.e. calorific value of waste entering the furnace, kJ / kg; H'—dry basis hydrogen content, %; H' i —Hydrogen content of a component on dry basis, %; C' i —percentage of dry matter of a component, %; j—number of repeated measurements; m—number of repeated measurements; i—number of components; n—number of components; 24.4—heat of condensation of water, kJ / kg; C (w) —Sample moisture content, i.e., the moisture content of the waste entering the furnace, %; C i(w) — moisture content of a certain component, %; C i —Wet basis content of a certain ingredient, %; M i —Wet weight of a certain component, kg; M—Total weight of sample, i.e. total weight of waste entering the furnace, kg; M' i —Dry weight of a component, kg;

[0075] Substituting formulas ① and ② into ③, we get formula ⑧:

[0076] Q (l) =Q' j(h) -(24.4+0.01Q' j(h) )×C (w) +(2.196C (w) -219.6)×H'⑧

[0077] Formula ⑦ can be used to obtain formula 9:

[0078] Substituting formula ⑨ and ⑤ into ⑥, we get formula ⑩:

[0079] Substitute formula ⑩ into formula ② to obtain the formula

[0080] formula Medium parameter H' i , M' i And the parameter Q' in formula ⑧ j(h) All of them are dry-basis values, which do not change with the fermentation time of garbage, and can be directly used as the test value of the garbage entering the factory. (w) The value of will change with the fermentation time of garbage, so as long as C (w) The value of M can determine the calorific value Q of the garbage entering the furnace. (l) .

[0081] The functional relationship between garbage fermentation time and garbage moisture content is established, and there is a linear relationship between the two:

[0082] Among them, C (w) is the moisture content of the sample, a is the moisture content slope, t is the garbage fermentation time, and b is the moisture content of the garbage entering the plant.

[0083] Statistics on the effect of fermentation time on the moisture content of incineration plant waste to be treated, see Figure 1 The linear regression equation y = -1.6383x + 55.81 is obtained, and the correlation R 2 =0.9916; x is the independent variable, which refers to the garbage fermentation time, in days (d); y is the dependent variable, which refers to the garbage moisture content, in %.

[0084] Establishing a functional relationship between garbage fermentation time and total garbage weight shows a linear relationship:

[0085] Among them, M is the total weight of garbage entering the furnace, c is the total weight slope, t is the garbage fermentation time, and d is the total weight of garbage entering the factory.

[0086] Statistics on the effect of fermentation time on the total weight of incineration plant waste to be treated, see Figure 2 The linear regression equation y = -2.8769x + 195.97 is obtained, and the correlation R 2 =0.9120; x is the independent variable, which refers to the garbage fermentation time, in days (d); y is the dependent variable, which refers to the total weight of the garbage, in kg.

[0087] The fermentation time of garbage is greatly affected by the ambient temperature of the garbage storage pit, so it is necessary to correct the fermentation time and introduce a correction factor k. As the ambient temperature rises, the fermentation time shortens, and the correction factor k also changes with the temperature. The actual fermentation time is the theoretical fermentation time multiplied by the k value, as shown in the following table.

[0088]

[0089] According to formula ⑧ And the fermentation time correction coefficient is obtained: wet basis lower calorific value, that is, the calorific value of the garbage entering the furnace Q (l) :

[0090]

[0091] Among them, Q (l) —Wet basis lower calorific value, i.e. calorific value of waste entering the furnace, kJ / kg; Q' j(h) —High calorific value on dry basis, i.e. calorific value of garbage entering the factory, kJ / kg; a—moisture content slope; t—garbage fermentation time, days; b is the moisture content of garbage entering the factory, %; H' i —Hydrogen content of a component on dry basis, %; M' i —dry weight of a certain component, kg; c—total weight slope; d—total weight of incoming waste, kg; k-fermentation time correction coefficient; i—ordinal number of each component; n—number of components; 24.4—condensation heat constant of water, kJ / kg.

[0092] Example: (1) The data of the garbage inspection for a certain incineration plant in December is shown in the following table. The theoretical fermentation time of the incineration plant is 7 days, and the actual fermentation time is 9.8 days. According to the formula Calculate the wet basis lower calorific value Q of the garbage entering the furnace (l) It is 4286.91kJ / kg.

[0093]

[0094] (2) The data of the garbage inspection for a certain incineration plant in June is shown in the following table. The theoretical fermentation time of the incineration plant is 7 days, and the actual fermentation time is 5.6 days. According to the formula Calculate the wet basis lower calorific value Q of the garbage entering the furnace (l) It is 4452.06kJ / kg.

[0095]

[0096]

[0097] The above description is only a preferred embodiment of the present invention and should not be construed as limiting the present application. All equivalent changes and modifications made within the scope of the patent application of the present invention should fall within the scope of the present invention.

Claims

1. A method for estimating the calorific value of waste entering the furnace from the calorific value of waste entering the factory, characterized in that: Here’s how: Step 1: Establish a functional relationship between garbage fermentation time and garbage moisture content; Step 2: Statistically calculate the effect of garbage fermentation time on garbage moisture content in the curve chart and obtain the first linear regression equation; Step 3: Establish a functional relationship between garbage fermentation time and total garbage weight; Step 4: Statistically calculate the effect of garbage fermentation time on the total weight of garbage in the curve chart, and obtain the second linear regression equation; Step 5: Combine the first linear regression equation, the second linear regression equation, the calculation formula of dry basis hydrogen content, and the garbage fermentation time correction coefficient into the calculation formula of the calorific value of the garbage entering the furnace, and finally obtain the calorific value of the garbage entering the furnace.

2. A method for estimating the calorific value of waste entering the furnace from the calorific value of waste entering the factory according to claim 1, characterized in that: In step 5, the calculation formula of the calorific value of the waste entering the furnace and the calculation formula of the dry basis hydrogen content are obtained by the following method: Among them, Q' j(h) —Higher calorific value on dry basis, i.e. calorific value of waste entering the factory, kJ / kg; Q (h) —Higher calorific value on wet basis, kJ / kg; Q (l) —wet basis lower calorific value, i.e. calorific value of waste entering the furnace, kJ / kg; H'—dry basis hydrogen content, %; H' i —Hydrogen content of a component on dry basis, %; C' i — dry basis percentage of a component, %; j—repeated measurement number; m—number of repeated measurements; i—sequence number of each component; n—number of components; 24.4—heat of condensation constant of water, kJ / kg; C (w) —Sample moisture content, i.e., the moisture content of the waste entering the furnace, %; C i(w) — moisture content of a certain component, %; C i —Wet basis content of a certain ingredient, %; M i —Wet weight of a certain component, kg; M—Total weight of sample, i.e. total weight of waste entering the furnace, kg; M' i —Dry weight of a component, kg; Substituting formulas ① and ② into ③, we get formula ⑧: Q( l )=Q' j(h) -(24.4+0.01Q' j(h) )×C (w) +(2.196C (w) -219.6)×H' ⑧ Formula ⑦ can be used to obtain formula 9: Substituting formula ⑨ and ⑤ into ⑥, we get formula ⑩: Substitute formula ⑩ into formula ② to obtain the formula formula Medium parameter H' i , M' i And the parameter Q' in formula ⑧ j(h) All of them are dry-basis values, which do not change with the fermentation time of garbage, and can be directly used as the test value of the garbage entering the factory. 9w) The value of changes with the fermentation time of garbage, so as long as C (w) The value of M can determine the calorific value Q of the garbage entering the furnace. (l) .

3. A method for estimating the calorific value of waste entering the furnace from the calorific value of waste entering the factory according to claim 2, characterized in that: The step 1 is further specifically as follows: a functional relationship is established between the garbage fermentation time and the moisture content of the garbage entering the furnace, and there is a linear relationship between the two: Among them, C (w) is the moisture content of garbage entering the furnace, a is the slope of moisture content, t is the garbage fermentation time, and b is the moisture content of garbage entering the factory.

4. A method for estimating the calorific value of waste entering the furnace from the calorific value of waste entering the factory according to claim 3, characterized in that: The step 2 is further specifically as follows: statistically calculate the effect of garbage fermentation time on garbage moisture content in the curve chart, and obtain the first linear regression equation y1=-1.6383x1+55.81, and the correlation R1 2 =0.9916; x1 is the independent variable, which refers to the garbage fermentation time, in days (d); y1 is the dependent variable, which refers to the garbage moisture content, in %; Therefore, in the formula , a=1.6383, b=55.

81.

5. A method for estimating the calorific value of waste entering the furnace from the calorific value of waste entering the factory according to claim 4, characterized in that: The step 3 is further specifically as follows: a functional relationship is established between the garbage fermentation time and the total weight of the garbage, and there is a linear relationship between the two: Among them, M is the total weight of garbage entering the furnace, c is the total weight slope, t is the garbage fermentation time, and d is the total weight of garbage entering the factory.

6. A method for estimating the calorific value of waste entering the furnace from the calorific value of waste entering the factory according to claim 5, characterized in that: The step 4 is further specifically as follows: statistically calculate the effect of garbage fermentation time on the total weight of garbage in the curve chart, and obtain the second linear regression equation y2=-2.8769x2+195.97, and the correlation R2 2 =0.9120; x2 is the independent variable, which refers to the garbage fermentation time, in days (d); y2 is the dependent variable, which refers to the total weight of garbage, in kg; Therefore, in the formula In this case, c=2.8769 and d=195.

97.

7. A method for estimating the calorific value of waste entering the furnace from the calorific value of waste entering the factory according to claim 6, characterized in that: The fermentation time of garbage is greatly affected by the ambient temperature of the garbage storage pit, so it is necessary to correct the fermentation time t and introduce a garbage fermentation time correction coefficient k; as the ambient temperature increases, the fermentation time shortens, and the correction coefficient k also changes with the temperature. The actual fermentation time is the theoretical fermentation time multiplied by the k value; In spring, from February to April, the ambient temperature is slightly lower than the optimal fermentation temperature, the correction coefficient k = 1.2, and the actual fermentation time is 1.2t; In summer, from May to July, the ambient temperature is higher than the optimal fermentation temperature, the correction coefficient k = 0.8, and the actual fermentation time is 0.8t; In autumn, from August to October, the ambient temperature is equivalent to the optimal fermentation temperature, the correction coefficient k = 1, and the actual fermentation time is t; In winter, from November to January, the ambient temperature is lower than the optimal fermentation temperature, the correction coefficient k = 1.4, and the actual fermentation time is 1.4t.

8. A method for estimating the calorific value of waste entering the furnace from the calorific value of waste entering the factory according to claim 6 or 7, characterized in that: According to formula ⑧ The wet-basis lower calorific value, i.e., the calorific value of the garbage entering the furnace, Q( l ): Among them, Q (l) —Wet basis lower calorific value, i.e. calorific value of waste entering the furnace, kJ / kg; Q' j(h) —High calorific value on dry basis, i.e. calorific value of garbage entering the factory, kJ / kg; a—slope of moisture content; t—garbage fermentation time, days; b is moisture content of garbage entering the factory, %; H' i —Hydrogen content of a component on dry basis, %; M' i —dry weight of a certain component, kg; c—total weight slope; d—total weight of incoming waste, kg; k-fermentation time correction coefficient; i—ordinal number of each component; n—number of components; 24.4—condensation heat constant of water, kJ / kg.

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