Method and device for predicting pyrolysis yield of oily waste

Abstract

The invention provides a method for predicting the pyrolysis yield of oil-containing waste. The method comprises the following steps: measuring the content of each petroleum component in the oil-containing waste; carrying out thermogravimetric analysis on each petroleum component to obtain the conversion rate of each petroleum component in an interval from room temperature to final pyrolysis temperature; and calculating the residual mass of the oil in the oil-containing waste by using the content of each petroleum component and the conversion rate. The method for predicting the yield of the pyrolysis product of the oil-containing waste is high in component pertinence, high in model adaptability and high in efficiency on the basis of the characteristics of the raw materials of the oil-containing waste, the pyrolysis characteristics of the oil-containing waste are fully combined, the oil content in the residues can be rapidly and accurately predicted, a reference basis is provided for the operation conditions of the pyrolysis reaction, and the method is suitable for popularization and application. The method assists the pyrolysis process to operate more economically and efficiently, and has important significance in industrial application.

Description

Technical Field

[0001] The invention relates to the technical field of chemical environmental protection, and in particular to a method and a device for predicting the pyrolysis yield of oil-containing waste. Background Art

[0002] Oily waste has been included in the "List of Hazardous Wastes" due to its toxicity and flammability, and needs to be disposed of harmlessly. The pyrolysis process has the characteristics of high degree of petroleum hydrocarbon decomposition, low oil content in residues, high degree of reduction, and recoverable oil products. It is currently one of the main processes for the treatment and disposal of oily waste. The principle is that the oily waste is heated to 500-650℃ through high-temperature pyrolysis under an inert atmosphere. The oil components and water in the oily sludge evaporate from the main body of the oily solid waste to the gas phase through evaporation, desorption and cracking, thereby realizing the separation of the solid phase from petroleum hydrocarbons and water.

[0003] The composition of oily waste is very complex, including petroleum hydrocarbons, water, minerals and chemical additives. The petroleum hydrocarbons contained in it vary greatly in composition and properties due to different sources of materials. The composition of oily waste has a great influence on the pyrolysis effect, such as the pyrolysis oil and gas yield and composition, and the oil content of the residue after pyrolysis. It is necessary to adjust the process parameters in advance to obtain a pyrolysis process suitable for this type of oily waste, so that the pyrolysis products can meet the treatment requirements. Otherwise, the products after thermal treatment will not be fully degraded, repeated degradation will waste energy, and more harmful substances may be derived in the process. However, in actual production work, for oily wastes from different sources, the pre-adjustment of process parameters often relies mainly on the subjective experience of the operator, or is combined with certain parameters such as the moisture content, oil content, calorific value, etc. of the raw materials and pyrolysis residues for post-analysis. The whole process is highly subjective, and the scientificity and reproducibility are poor.

[0004] There are existing methods for predicting the pyrolysis products of certain specific source materials, but there are still serious defects or obstacles in their application in industrial production, especially in the application of oil-containing waste. For example, CN115879635A provides a sludge pyrolysis prediction method and related devices, using cellulose, hemicellulose, lignin, protein, soluble sugar, and fat as model materials, using BPM artificial neural network to establish multiple prediction sub-models, and then using corresponding training sample sets to train multiple models respectively with a learning rate adaptive algorithm based on momentum training until the minimum error condition is met to obtain a trained prediction sub-model, and finally input the corresponding verification sample set into the trained sub-model to achieve the prediction of sludge pyrolysis activation energy, the yield of pyrolysis three-phase products, and the yield of the main components of pyrolysis gas. However, this method is only applicable to sludge with cellulose, lignin, protein and other animal and plant mixed source biomass as the main pyrolyzable raw materials, and the equipment and initial time cost required for artificial neural network model establishment and training and learning are extremely high. For another example, CN112151123A provides a method for measuring the pyrolysis coke yield of roasted biomass, wherein the biomass is subjected to aerobic roasting and anaerobic roasting respectively to obtain a first solid product and a second solid product, and the first roasting mass yield and the second roasting mass yield, fixed carbon content, rapid pyrolysis coke mass, relative coke yield, and coke yield are calculated to obtain a prediction model, thereby predicting the coke yield. However, this method aims to predict the coke yield of biomass fuel, that is, the heat energy that can be generated under full combustion, and to use the prediction results to optimize the roasting process, adjust the operating conditions of the boiler and the gasification reactor, and ultimately achieve the effect of fully utilizing the fuel. It is not aimed at the treatment of oily waste, and the roasting method and complex calculation program used are not suitable for oily waste. For another example, CN112630253A provides a method for predicting the gas yield of a single coal and a blended coal. The method obtains the single coal to be tested, performs industrial analysis and elemental analysis on the single coal to be tested, obtains the volatile matter, ash content and oxygen-hydrogen ratio of the single coal to be tested, and obtains the gas yield of the single coal to be tested based on the volatile matter, ash content and oxygen-hydrogen ratio of the single coal to be tested. The method can be used for commonly used coking coals such as coking coal, fat coal, 1 / 3 coking coal, gas coal and lean coal, but is still not suitable for the pyrolysis prediction method of oil-containing waste. CN114638426A provides a method and device for predicting the yield of oil shale in-situ heating and mining products. By constructing a series of parallel primary reaction product yield models for in-situ heating and pyrolysis of oil shale, the actual product yield of in-situ heating and pyrolysis of oil shale is obtained, and then a preliminary hydrocarbon generation reaction path model is constructed to obtain a target hydrocarbon generation reaction path model, and the yield of oil shale in-situ heating and mining products is predicted. The purpose of this method is to decompose organic matter into oil and natural gas so as to facilitate their extraction from the ground. The high temperature and high pressure environment of the deep underground where it is located is quite different from the oil-containing waste treatment environment, and the purpose of pyrolysis and the corresponding required degree of pyrolysis are also different.

[0005] In general, although there are certain prediction schemes for the pyrolysis yield of general sludge, biomass fuel, raw coal or oil shale materials, the following problems still exist: (1) The components determine the process conditions and process endpoints required for pyrolysis. The models selected or established by the existing pyrolysis yield prediction methods do not take into account the oil components in oil-containing wastes and are not suitable for oil-containing wastes with greatly different components; (2) The components contained in general sludge, biomass fuel, raw coal or oil shale materials are relatively fixed, especially for materials from the same origin and source. Different batches of incoming materials not only have similar components, but also have similar component contents / proportions. The degree of variation is also high, which is completely different from the situation of oily waste. The composition and content of oily waste not only vary greatly due to different sources, but even if the oily waste is from the same source, the content of the components in the waste will also vary due to changes in the refining and cleaning processes, or changes in the time of dirt accumulation, resulting in the complexity and variability of the components of the same source waste, and the insufficient applicability of a single process parameter. (3) Existing methods require multiple tests and analyses, and the process parameters must be adjusted according to the predicted yield. They lack flexibility and take a long time, and cannot match the actual needs of large batches of oily waste, which are generated quickly and need to quickly obtain the corresponding pyrolysis process. Summary of the invention

[0006] In order to solve the above technical problems, the present invention provides a method for predicting the yield of pyrolysis products of oil-containing waste based on the characteristics of oil-containing waste raw materials, which has strong component targeting, high model applicability and efficiency. It fully combines the pyrolysis characteristics of oil-containing waste, can quickly and accurately predict the oil content in the residue, provide a reference basis for the operating conditions of the pyrolysis reaction, and assist the pyrolysis process to operate more economically and efficiently, which is of great significance in industrial applications.

[0007] To achieve the above object, the present invention provides a method for predicting the pyrolysis yield of oil-containing waste, the method comprising:

[0008] Measure the content of various components of petroleum in oily waste;

[0009] Conduct thermogravimetric analysis on each petroleum component to obtain the conversion rate of each petroleum component in the range from room temperature to the final pyrolysis temperature;

[0010] The remaining mass of oil in oily waste is calculated using the content and conversion rate of each petroleum component.

[0011] Optionally, the method further comprises: obtaining the oil content in the residue.

[0012] Optionally, the calculation of the remaining mass of oil in the oily waste includes:

[0013] Based on formulas 1 and 2, the conversion rate of each component of petroleum in the temperature range is obtained; based on formula 3, the residual mass of each component of petroleum is obtained; based on formula 4, the residual mass m of oil is obtainedt ,

[0014]

[0015] g(α)=∫f(α)dα Formula 2

[0016] m iT =m i0 ×(1-α) Formula 3

[0017]

[0018] Among them, α is the conversion rate in the temperature range, A is the pre-exponential factor, R is the gas constant, β is the heating rate, and E a is the apparent activation energy, T is the temperature, m iT is the residual mass of any component i of petroleum at any temperature T, m i0 is the initial mass of any component i of the petroleum, ω i is the mass percentage of any component i in the petroleum, Δm i is the total weight loss in the measured temperature range, M0 is the total mass of the oily waste; α i It is the conversion rate of any component i of petroleum at a certain temperature.

[0019] Optionally, the conversion rate of each petroleum component in the temperature range is obtained based on formulas 1 and 2, including:

[0020] According to the multiple ln[g(α)] and The corresponding values ​​of each component of petroleum are obtained by least squares linear fitting. and Calculate the reaction activation energy E of each petroleum component in the temperature range a and the pre-exponential factor A.

[0021] Optionally, measure the content of various components of petroleum in oily waste, including:

[0022] Separate oily waste to obtain petroleum substances;

[0023] The petroleum substances are separated and calculated to obtain the content of each petroleum component.

[0024] Optionally, column chromatography is used to separate the components of petroleum substances.

[0025] Optionally, the oily waste is separated by Soxhlet extraction or pressurized fluid extraction, and the petroleum content and mineral content are obtained by weighing.

[0026] Optionally, the oil content in the residue is calculated based on the following formula:

[0027]

[0028] Among them, w 残渣 is the oil content in the residue; ω 油相 is the mass percentage of oil in oily waste; α 油相 is the conversion rate of oil in oily waste; 矿物质 is the mass percentage of minerals in oily waste; α 矿物质 is the conversion rate of minerals in oily waste.

[0029] Optionally, the petroleum components include fat, aromatics, colloids and asphaltenes.

[0030] The present invention also provides a device for predicting the pyrolysis yield of oil-containing waste, comprising:

[0031] Measuring unit, used to measure the content of various components of petroleum in oily waste;

[0032] An acquisition unit is used to perform thermogravimetric analysis on each component of the petroleum to obtain the conversion rate of each component of the petroleum in the range from room temperature to the final temperature of pyrolysis;

[0033] The calculation unit is used to calculate the remaining mass of oil in the oily waste by using the content and conversion rate of each component of petroleum.

[0034] Optionally, the device further comprises: an oil content obtaining unit, used for obtaining the oil content in the residue.

[0035] Technical effects and advantages of the present invention:

[0036] Compared with the prior art, this method firstly considers the composition of oily waste components, selects water, minerals, fat, aromatics, colloids and asphaltene as content determination indicators after analysis, and further selects minerals, fat, aromatics, colloids and asphaltene as thermal gravimetric analysis indicators, and based on the differences in the degree of pyrolysis of the above components, comprehensively constructs a calculation formula that can relatively accurately reflect the functional relationship between the pyrolysis conversion rate of the components and the temperature, and according to the method, the effect of predicting the residual mass of oily waste after pyrolysis at any temperature can be achieved, thereby achieving the purpose of providing a basis for adjusting the formal operating process parameters. This method has strong operability, good reproducibility and high prediction accuracy, and is widely applicable to common oily wastes such as oily sewage flotation slag, tank cleaning sludge, pool bottom mud, aged oil, etc.

[0037] Moreover, based on the present method, when treating oily wastes of the same source and with a high degree of component similarity, the overall steps can be further simplified, and only one model construction is required. Samples from different batches can be directly brought into the model for pyrolysis yield prediction after only component analysis, that is: for the oily waste to be tested from the same source, first separate and weigh the mass percentages of fat, aromatic, colloid and asphaltene in the oily waste, perform thermogravimetric analysis on the four components respectively to determine the relationship between the temperature in the range from room temperature to the final pyrolysis temperature and the mass of the components, and establish a function of the content of the four components, pyrolysis temperature and conversion rate and the residual mass of the oil. This function is the objective function. In the future, for oily wastes of the same or different sources (oily wastes to be tested), it is only necessary to determine the mass percentages and conversion rates of the four components to be tested, and then substitute them into the objective function to obtain the residual mass of the oil to be tested, thereby reducing the operation steps and improving the operation efficiency.

[0038] It further shortens the time required to obtain pyrolysis process parameters, improves actual production efficiency, and has good application value.

[0039] Other features and advantages of the present invention will be described in the following description, and partly become obvious from the description, or be understood by implementing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures pointed out in the description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 Flow chart of the process for establishing a prediction method for the pyrolysis yield of oily waste;

[0041] Figure 2 This is the conversion rate of organic matter in the scum during desorption and the contribution diagram of each component;

[0042] Figure 3 This is the conversion rate of organic matter cracking stage in scum and the contribution diagram of each component;

[0043] Figure 4 This is the prediction diagram of the conversion rate of organic matter in oily slag during pyrolysis at 400℃;

[0044] Figure 5 This is the prediction diagram of the conversion rate of organic matter in oily slag during pyrolysis at 320℃. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] It should be noted that the structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification for people familiar with this technology to understand and read, and are not used to limit the limiting conditions for the implementation of the present invention, so they have no substantial technical significance. Any modification of the structure, change of the proportion relationship or adjustment of the size should still fall within the scope of the technical content disclosed by the present invention without affecting the effects and purposes that can be achieved by the present invention. At the same time, the terms such as "upper", "lower", "left", "right", "middle" and "one" quoted in this specification are only for the convenience of description, and are not used to limit the scope of the implementation of the present invention. The change or adjustment of their relative relationship should also be regarded as the scope of the implementation of the present invention without substantially changing the technical content.

[0047] The petroleum in the present invention has a well-known definition, which is a mixture of hydrocarbon substances, mainly including hydrocarbons composed of alkanes, cycloalkanes, aromatic hydrocarbons and olefins, and hydrocarbon derivatives containing small amounts of elements such as oxygen, nitrogen and sulfur, and mainly exists in the form of floating oil, finely dispersed oil, emulsified oil, dissolved oil, oil-solid waste, etc. (Quality Control Indicators for Routine Monitoring Projects of Surface Water, China Environmental Science Press, 1st edition, November 2011).

[0048] In order to better understand this solution, the following Figure 1 The prediction method of pyrolysis yield of oily waste is introduced in detail.

[0049] S001: Obtain oily waste samples.

[0050] S002: Analyze the composition of the oily waste sample to separate the moisture, minerals and oil in the oily waste contained in the waste sample, and weigh and calculate the mass percentages of the moisture, minerals and oil in the oily waste.

[0051] Wherein, the method for separating components of the oily waste sample can adopt Soxhlet extraction or pressurized fluid extraction.

[0052] S003: Separate the oil (petroleum) into four components to obtain fat, aromatic, colloid and asphaltene. Weigh and calculate the mass percentages of the fat, aromatic, colloid and asphaltene in the oil in the sample, which satisfy Formula 1:

[0053] ω 脂肪分 +ω 芳香分 +ω 胶质 +ω 沥青质 +ω 矿物质 +ω 水分 =100% (1)

[0054] S004: When analyzing homologous samples for the first time, perform thermogravimetric analysis on minerals, fats, aromatics, colloids and asphaltene respectively. At a constant heating rate, obtain a one-to-one correspondence between the temperature from room temperature to the final pyrolysis temperature and the residual mass of the measured component, which is usually expressed as temperature (T) and residual mass (m iT ) curve. The conversion rate at any temperature can be calculated by formula 2.

[0055]

[0056] Among them, α T is the conversion rate at any temperature; m iT is the residual mass of the component at any temperature T; m i0 is the initial mass of the component; m i is the residual mass of the component at the final temperature.

[0057] Among them, the four-component method of oil separation can adopt column chromatography.

[0058] S005: According to the relationship between the conversion rate and temperature of fat, aromatic, colloid and asphaltene components, select no less than 10 sets of temperature and conversion rate relationship data to match the best mechanism function model, and its integral form and differential form relationship are as shown in formula 3. Further, using formula 4, obtain no less than 10 sets of ln[g(α)] and The value of is used to obtain the slope and intercept of the straight line by using the least squares method of linear fitting, as shown in Equation 4. and Furthermore, the reaction activation energy Ea and pre-exponential factor A of the corresponding components in a certain temperature range can be obtained.

[0059] g(α)=∫f(α)dα (3)

[0060]

[0061] Where f(α) is the differential form of the mechanism function; g(α) is the integral form of the mechanism function; α is the conversion rate in the temperature range; A is the pre-exponential factor; R is the gas constant (the constant value is 8.314 J / (mol·K)); β is the heating rate (K / s); E a is the apparent activation energy (J / mol); T is the temperature (K).

[0062] S006: According to the reaction activation energy Ea and pre-exponential factor A of the temperature fat, aromatic, colloid and asphaltene components in the reaction temperature range, a mathematical expression (Formula 4) for the corresponding relationship between the temperature and conversion rate of the fat, aromatic, colloid and asphaltene in the range from room temperature to the final pyrolysis temperature as measured in S002 can be established. According to the temperature and mass relationship of each component, the residual mass and conversion rate function of each component are determined, such as Formula 5. According to Formula 4 and Formula 5, the functional relationship between the residual mass of each component after pyrolysis and the temperature is established.

[0063] m iT =m i0 ×(1-α) (5)

[0064] S007: According to the content of each component in the sample, establish the target function of the content of different components of the oily waste, pyrolysis temperature and conversion rate. That is, by using the functional relationship between the above pyrolysis residual mass and temperature, multiply it by the mass percentage of each component of fat, aromatic, colloid and asphaltene in the oily waste and add them up to obtain the residual mass of the oil in the waste sample, as shown in Formula 6.

[0065]

[0066] Among them, m t is the residual mass of oil in waste sample; ω i is the mass percentage of any component i; Δm i is the total weight loss in the measured temperature range; M0 is the total mass of the waste sample; α i is the conversion rate of component i at a certain temperature.

[0067] For the oily waste samples to be tested from the same source, after the component content of the oily waste samples to be tested is measured, the remaining mass of oil in the oily waste samples to be tested at any temperature under different component contents is predicted based on the target functions of different component contents, pyrolysis temperature and conversion rate.

[0068] S008: Further, the oil content of the residue at a certain pyrolysis temperature is calculated using formula (7).

[0069]

[0070] Among them, w 残渣 is the oil content in the residue; ω 油相 is the mass percentage of oil in the waste sample; α 油相 is the conversion rate of oil in the waste sample; ω 矿物质 is the mass percentage of minerals in the waste sample; α 矿物质 is the conversion rate of minerals in the waste sample.

[0071] In order to better understand the present invention, it is described again below through examples.

[0072] 1. Select the oily slag from a refinery wastewater treatment plant.

[0073] 2. Using the toluene Soxhlet extraction method, the water content, minerals and oil in the oily scum were separated, and the contents of each component were 78%, 15% and 6% respectively.

[0074] 3. Using the "Method for Determination of Four Components of Petroleum Asphalt" NB / SH / T 0509-2010, the above oils were separated into fat, aromatic, colloid and asphaltene, and the fat, aromatic, colloid and asphaltene contents were calculated to be 54%, 24%, 15% and 7% respectively. Taking the oily scum as the basis, the moisture, mineral, fat, aromatic, colloid and asphaltene contents were 78%, 15%, 3.2%, 1.5%, 0.9% and 0.4% respectively.

[0075] 4. Perform a thermal weight loss experiment on the separated minerals, fats, aromatics, colloids, and asphaltene. Take 10-15 mg and place it in a thermogravimetric analyzer. Heat it from room temperature to 600°C at 10°C / min under a nitrogen atmosphere to obtain the weight loss curve of the residual mass and temperature of each component. Use formula 2 to calculate a series of data on conversion rate and temperature.

[0076] 5. For fat fraction, aromatic fraction, colloid, and asphaltene at room temperature to 390°C and 390-600°C, two types of mechanism functions, ZLT and second-order reaction kinetics, were selected respectively. From the series of conversion rates and temperatures described in the previous step, the temperatures at which the conversion rates were 0.05, 0.10, 0.15, 0.20...0.95 were selected, for a total of 18 sets of data. Obtain ln[g(α)] and The value of the linear fit is obtained by using the least squares method to obtain the slope of the straight line. With intercept Then the reaction activation energy Ea and pre-exponential factor ln A can be further calculated. The calculation results are shown in Table 1.

[0077] Table 1 Kinetic parameters of each component

[0078]

[0079] 6. Further, by substituting Ea and ln A obtained in the previous step into Formula 4, a mathematical relationship between temperature and conversion rate can be constructed, and the functions of conversion rate and temperature constructed according to the content of each component of this batch of oily slag are summed according to Formula 6.

[0080] Comparisons were made at different stages. If the measured data and the simulated data were within the deviation range, it would indicate that the model was reliable. Figure 2 and Figure 3 shown.

[0081] 7. The contents of various oil components of samples from different batches are shown in Table 2. Instantaneous conversion rate at a certain temperature point. Among them, the oil content of the residues at 400℃ of the oily waste samples of batches A, B, and C are 73.1%, 69.8%, and 69.9%, respectively. Figure 4 As shown; the oil content of the residue at 320℃ is 67.2%, 64.9% and 64.5% respectively. Figure 5 The weight loss of minerals at 400℃ and 320℃ is small and can be ignored.

[0082] Table 2 Oil composition ratio of different batches of homologous oily scum

[0083]

[0084]

[0085] Through model calculation and prediction, the oil content of the 400°C residue of batches A, B, and C oily waste samples was 9.7%, 10.8%, and 10.5%, respectively; the oil content of the 320°C residue was 11.6%, 12.4%, and 11.9%, respectively.

[0086] The present invention also provides a device for predicting the pyrolysis yield of oil-containing waste, comprising: a measuring unit for measuring the content of each petroleum component in the oil-containing waste; an obtaining unit for performing thermogravimetric analysis on each petroleum component to obtain the conversion rate of each petroleum component in the range from room temperature to the final pyrolysis temperature; and a calculating unit for calculating the remaining mass of oil in the oil-containing waste using the content and conversion rate of each petroleum component.

[0087] Since the technical solution for protecting this device is similar to the technical solution for protecting the above method, it will not be introduced in detail here. Please refer to the explanation part of the above method for details.

[0088] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for predicting the pyrolysis yield of oily waste, characterized in that: The method comprises: Measure the content of various components of petroleum in oily waste; Conduct thermogravimetric analysis on each petroleum component to obtain the conversion rate of each petroleum component in the range from room temperature to the final pyrolysis temperature; The remaining mass of oil in oily waste is calculated using the content and conversion rate of each petroleum component.

2. The method for predicting the pyrolysis yield of oily waste according to claim 1, characterized in that: Also includes: Obtain the oil content in the residue.

3. The method for predicting the pyrolysis yield of oily waste according to claim 1, characterized in that: The calculation of the remaining mass of oil in the oily waste includes: Based on formulas 1 and 2, the conversion rate of each component of petroleum in the temperature range is obtained; based on formula 3, the residual mass of each component of petroleum is obtained; based on formula 4, the residual mass m of oil is obtained t , g(α)=∫f(α)dα Formula 2 m iT =m i0 ×(1-α) Formula 3 Among them, α is the conversion rate in the temperature range, A is the pre-exponential factor, R is the gas constant, β is the heating rate, and E a is the apparent activation energy, T is the temperature, m iT is the residual mass of any component i of petroleum at any temperature T, m i0 is the initial mass of any component i of the petroleum, ω i is the mass percentage of any component i in the petroleum, Δm i is the total weight loss in the measured temperature range, M0 is the total mass of the oily waste; α i It is the conversion rate of any component i of petroleum at a certain temperature.

4. The method for predicting the pyrolysis yield of oil-containing waste according to claim 3, characterized in that: The conversion rate of each petroleum component in the temperature range is obtained based on formulas 1 and 2, including: According to the multiple ln[g(α)] and The corresponding values ​​of each component of petroleum are obtained by least squares linear fitting. and Calculate the reaction activation energy E of each petroleum component in the temperature range a and the pre-exponential factor A.

5. The method for predicting the pyrolysis yield of oil-containing waste according to claim 1, characterized in that: Measure the content of various components of petroleum in oily waste, including: Separate oily waste to obtain petroleum substances; The petroleum substances are separated and calculated to obtain the content of each petroleum component.

6. The method for predicting the pyrolysis yield of oil-containing waste according to claim 5, characterized in that: Column chromatography is used to separate the components of petroleum substances.

7. The method for predicting the pyrolysis yield of oil-containing waste according to claim 5, characterized in that: The oily waste is separated by Soxhlet extraction or pressurized fluid extraction, and the petroleum content and mineral content are obtained by weighing.

8. The method for predicting the pyrolysis yield of oil-containing waste according to claim 7, characterized in that: The oil content in the residue was calculated based on the following formula: Among them, w 残渣 is the oil content in the residue; ω 油相 is the mass percentage of oil in oily waste; α 油相 is the conversion rate of oil in oily waste; 矿物质 is the mass percentage of minerals in oily waste; α 矿物质 is the conversion rate of minerals in oily waste.

9. The method for predicting the pyrolysis yield of oil-containing waste according to claim 1, characterized in that: The petroleum components include fat, aromatics, colloids and asphaltenes.

10. A device for predicting the pyrolysis yield of oily waste, characterized in that: include: Measuring unit, used to measure the content of various components of petroleum in oily waste; An acquisition unit is used to perform thermogravimetric analysis on each component of the petroleum to obtain the conversion rate of each component of the petroleum in the range from room temperature to the final temperature of pyrolysis; The calculation unit is used to calculate the remaining mass of oil in the oily waste by using the content and conversion rate of each component of petroleum.

11. The device for predicting the pyrolysis yield of oil-containing waste according to claim 10, characterized in that: Also includes: The oil content obtaining unit is used to obtain the oil content in the residue.

Images