A method for calculating the number of treatment equipment based on carbon monoxide emission from mixed solid waste combustion

Abstract

The application relates to a kind of mixed solid waste combustion carbon monoxide emission processing equipment quantity calculation method, belong to carbon monoxide emission processing technical field.For improving the accuracy and economy of carbon monoxide emission processing, the application includes setting the influencing factors of carbon monoxide content in solid waste combustion, establishing the correlation between influencing factors and carbon monoxide emission, constructing the factor matrix of main factors affecting carbon monoxide emission, establishing comprehensive carbon monoxide emission matrix, predicting carbon monoxide emission based on mixed solid waste combustion, calculating the oxygen quantity required for processing carbon monoxide emission, and calculating the best daily capacity of a single oxygen generator;Based on the oxygen quantity required for processing carbon monoxide emission and the best daily capacity of a single oxygen generator, the number of processing equipment for carbon monoxide emission based on mixed solid waste combustion is calculated.The application optimizes resource allocation and avoids excessive investment and resource waste.

Description

Technical Field

[0001] This invention belongs to the field of carbon monoxide emission treatment technology, specifically a method for calculating the number of treatment equipment for carbon monoxide emissions based on the combustion of mixed solid waste. Background Technology

[0002] Mixed solid waste, including industrial solid waste and municipal solid waste, is particularly common in modern cities and industrialized areas. Industrial solid waste encompasses metal shavings, chemical waste, and construction waste, while municipal solid waste primarily originates from household and commercial activities and includes food waste, paper, and plastics. With population growth and changing consumption patterns, the total amount of this waste continues to increase, making effective waste management strategies increasingly urgent.

[0003] Combustion of mixed solid waste is a common treatment method, primarily driven by considerations of reducing waste volume and weight, energy recovery, and the reduction of hazardous substances. Combustion can significantly reduce waste volume and weight, decreasing reliance on landfills; simultaneously, the "waste-to-energy" conversion process helps reduce dependence on fossil fuels, providing a sustainable energy supply. Furthermore, the combustion process can destroy toxic chemicals and pathogens in waste, reducing potential harm to the environment and human health.

[0004] While combustion offers advantages such as emissions reduction and energy recovery, it also faces challenges including emissions, high energy consumption and cost, and social acceptance. The combustion process produces harmful gases such as carbon monoxide, requiring strict emission controls and efficient purification technologies for management.

[0005] Currently, there is a lack of methods for predicting carbon monoxide emissions during the combustion of mixed solid waste and calculating the corresponding number of carbon monoxide treatment equipment. Failure to accurately control carbon monoxide emissions may lead to violations of environmental standards, exacerbate air pollution, and harm human health and ecosystems. Furthermore, inaccurate equipment configuration may result in a waste of environmental resources; excessive equipment not only occupies extra space but also consumes unnecessary energy and maintenance costs. Economically, the lack of effective calculation methods may expose enterprises to higher economic burdens and investment risks. Excessive equipment investment and operating costs increase, while insufficient equipment configuration may lead to failure to meet environmental requirements, affecting the company's market reputation and business continuity. For environmental equipment manufacturers, inaccurate market demand forecasts also increase production and inventory risks, impacting the company's economic benefits. Summary of the Invention

[0006] The technical problem to be solved by this invention is to improve the accuracy and economy of carbon monoxide emission treatment, and proposes a method for calculating the number of treatment equipment for carbon monoxide emissions based on the combustion of mixed solid waste.

[0007] To achieve the above objectives, the present invention provides the following technical solution:

[0008] A method for calculating the number of treatment equipment for carbon monoxide emissions from the combustion of mixed solid waste includes the following steps:

[0009] S1. Set the influencing factors of carbon monoxide content in solid waste combustion, including waste humidity, oxygen concentration, combustion environment temperature, combustion environment pressure, industrial waste content, fuel distribution uniformity, and fuel stockpiling density; collect the values ​​of the influencing factors and calculate carbon monoxide emissions;

[0010] S2. Based on the data collected in step S1, establish the correlation between influencing factors and carbon monoxide emissions, compare the degree of influence of different influencing factors on carbon monoxide emissions, and extract the main factors affecting carbon monoxide emissions;

[0011] S3. Based on the main factors affecting carbon monoxide emissions obtained in step S2, construct a factor matrix of the main factors affecting carbon monoxide emissions; then, based on the factor matrix of the main factors affecting carbon monoxide emissions, predict the carbon monoxide emissions at time tn based on the carbon monoxide emissions at times before time tn, and then predict the carbon monoxide emissions at time tn based on the carbon monoxide emissions at times after time tn, to obtain the carbon monoxide emission matrix at time tn under the two cases;

[0012] S4. Using the carbon monoxide emission matrices at time tn obtained in step S3 for the two cases, establish a comprehensive carbon monoxide emission matrix to predict carbon monoxide emissions based on the combustion of mixed solid waste.

[0013] S5. Based on the carbon monoxide emissions from the combustion of the mixed solid waste predicted in step S4, calculate the amount of oxygen required to treat the carbon monoxide emissions;

[0014] S6. Calculate the optimal daily production capacity of a single oxygen generator;

[0015] S7. Based on the amount of oxygen required to treat carbon monoxide emissions obtained in step S5 and the optimal daily production capacity of a single oxygen generator obtained in step S6, calculate the number of treatment devices for carbon monoxide emissions based on the combustion of mixed solid waste.

[0016] Furthermore, 10 time points from t1 to t10 were selected, and the values ​​of influencing factors at the 10 time points were collected to calculate the carbon monoxide emissions at the 10 time points.

[0017] The method for calculating carbon monoxide emissions in step S1 is to install an ultrasonic flow meter in the emission pipeline to measure the volume of flue gas; collect flue gas samples and use an electrochemical sensor to measure the concentration of carbon monoxide; and calculate the carbon monoxide emissions by multiplying the volume of flue gas by its concentration.

[0018] Furthermore, the specific implementation method of step S2 includes the following steps:

[0019] S2.1. Set the values ​​of the j-th influencing factor corresponding to 10 time nodes from t1 to t10, denoted as [missing information]. The corresponding carbon monoxide emissions are Calculate the relationship h between the j-th influencing factor and carbon monoxide emissions. j The expression is:

[0020]

[0021] S2.2. Based on the method in step S2.1, calculate the relationship h1 to h7 between waste humidity, oxygen concentration, combustion ambient temperature, combustion ambient pressure, industrial waste content, fuel distribution uniformity, fuel stockpiling density and carbon monoxide emissions. Then compare h1 to h7, select the factors corresponding to the 5 largest values ​​as the main factors affecting carbon monoxide emissions, and number the corresponding main factors affecting carbon monoxide emissions in descending order as z1 to z5.

[0022] Furthermore, the specific implementation method of step S3 includes the following steps:

[0023] S3.1. Based on the main factors affecting carbon monoxide emissions obtained in step S2, construct the factor matrix As of the main factors affecting carbon monoxide emissions, with the expression as follows:

[0024]

[0025] Among them, z 1-n z refers to the set of values ​​from the test on day n in z1. 2-n z refers to the set of values ​​from the test on day n in z2. 3-n z refers to the set of values ​​from the test on day n in z3. 4-n z refers to the set of values ​​from the test on day n in z4. 5-n Refers to the set of values ​​from the test on day n in z5;

[0026] S3.2. Based on the factor matrix of the main factors affecting carbon monoxide emissions constructed in step S3.1, and combined with the carbon monoxide emissions at times before time tn, predict the carbon monoxide emissions at time tn.

[0027] S3.2.1. Set the carbon monoxide emission matrix corresponding to time t1 as follows: Establish The relationship between As and As is expressed as:

[0028]

[0029] Among them, Bs t1 Cs represents the weighting coefficients of the carbon monoxide emission matrix at time t1. t1 is a constant in the carbon monoxide emission matrix corresponding to time t1;

[0030] Will A nonlinear transformation is performed, and the transformed carbon monoxide emission matrix is ​​denoted as... The expression is:

[0031]

[0032] Among them, Ds t1 For tanh(As·Bs) t1 +Cs t1 The coefficient of Es t1 t1 is a constant in the transformed carbon monoxide emission matrix at time t1;

[0033] S3.2.2. Set the carbon monoxide emission matrix corresponding to time t2 as follows: Establish The relationship between As and As is expressed as:

[0034]

[0035] Among them, Bs t2 Cs represents the weighting coefficients of the carbon monoxide emission matrix at time t2. t2 t2 is a constant in the carbon monoxide emission matrix corresponding to time t2;

[0036] Carbon monoxide emission matrix at time t2 The carbon monoxide emission matrix is ​​corrected and denoted as follows: The expression is:

[0037]

[0038] in, For (As·Bs) t2 +Cs t2 The coefficient of ) For the revised carbon monoxide emissions matrix The coefficient;

[0039] S3.2.3. Calculate sequentially Then calculate the carbon monoxide emission matrix corresponding to time tn. Establish The relationship between As and As is expressed as:

[0040]

[0041] Among them, Bs tn Cs represents the weighting coefficients of the carbon monoxide emission matrix at time tn. tn is a constant in the carbon monoxide emission matrix corresponding to time tn;

[0042] Carbon monoxide emission matrix at time tn The correction is performed, and the corrected carbon monoxide emission matrix obtained before time tn is denoted as follows:

[0043]

[0044] in, For (As·Bs) tn +Cs tn The coefficient of ) The carbon monoxide emission matrix obtained based on time points prior to time tn is in the corrected matrix. The coefficient;

[0045] S3.3. Predict the carbon monoxide emissions at time tn based on the carbon monoxide emissions at times after time tn;

[0046] S3.3.1. Using the carbon monoxide emissions at time points t(n+1), ..., t(m-1), tm, predict the carbon monoxide emissions at time tn, where tm is the last time point;

[0047] S3.3.2. Set the carbon monoxide emission matrix corresponding to time tm as follows: Establish The relationship between As and As is expressed as:

[0048]

[0049] Among them, Bs tm Cs represents the weighting coefficients of the carbon monoxide emission matrix at time tm. tm is a constant in the carbon monoxide emission matrix corresponding to time tm;

[0050] Will A nonlinear transformation is performed, and the transformed carbon monoxide emission matrix is ​​denoted as... The expression is:

[0051]

[0052] Among them, Ds tm For tanh(As·Bs) tm +Cs tm The coefficient of Es tm is a constant in the transformed carbon monoxide emissions matrix;

[0053] S3.3.3. Set the carbon monoxide emission matrix corresponding to time t(m-1) as follows: Establish The relationship between As and As is expressed as:

[0054]

[0055] Among them, Bs t(m-1) Cs represents the weighting coefficients of the carbon monoxide emission matrix at time t(m-1). t(m-1) is a constant in the carbon monoxide emission matrix corresponding to time t(m-1);

[0056] right The carbon monoxide emission matrix is ​​corrected and denoted as follows: The expression is:

[0057]

[0058] in, For (As·Bs) t(m-1) +Cs t(m-1) The coefficient of ) For the revised carbon monoxide emissions matrix The coefficient;

[0059] S3.3.4. Calculate sequentially Then set the carbon monoxide emission matrix corresponding to time tn. Establish The relationship with As:

[0060]

[0061] Among them, Bs tn2+ The carbon monoxide emission matrix at time tn The weighting coefficient, Cs tn2+ The carbon monoxide emission matrix at time tn The constant;

[0062] Carbon monoxide emission matrix at time tn The correction is performed, and the corrected carbon monoxide emission matrix obtained after time tn is denoted as follows: The resulting expression is:

[0063]

[0064] in, For (As·Bs) tn2 +Cs tn2 The coefficient of ) The carbon monoxide emission matrix obtained after time tn is in the corrected matrix. The coefficient.

[0065] Furthermore, the specific implementation method of step S4 includes the following steps:

[0066] S4.1. Establish the comprehensive carbon monoxide emission matrix, and obtain the expression:

[0067]

[0068] in, Let be the matrix of total carbon monoxide emissions at time tn, and β1 be... The corresponding weighting coefficient, β2 is The corresponding weighting coefficients;

[0069] S4.2. To obtain effective information for the prediction of time tn from all tm time points, a coefficient threshold Ytr is set, and comparisons are made sequentially. Relationship with Ytr:

[0070] when reserve

[0071] when make

[0072] The final comprehensive carbon monoxide emission matrix is ​​obtained, thus completing the prediction of carbon monoxide emissions.

[0073] Furthermore, the specific implementation method of step S5 includes the following steps:

[0074] S5.1. Set the amount of oxygen required to convert one unit of carbon monoxide into carbon dioxide as e, and combine this with step S5 to predict the comprehensive carbon monoxide emission matrix at time tn. The total amount of oxygen required to treat carbon monoxide emissions is calculated as follows:

[0075] S5.2. To prevent carbon monoxide leakage due to insufficient oxygen, a safety factor η is introduced into the total amount of oxygen required to treat carbon monoxide emissions obtained in step S5.1, resulting in a safety factor-corrected total amount of oxygen required to treat carbon monoxide emissions.

[0076] Furthermore, the specific implementation method of step S6 includes the following steps:

[0077] S6.1. For a single oxygen generator, energy efficiency and energy consumption are considered. Energy efficiency and energy consumption are analyzed using two indicators: energy efficiency ratio (NX) and specific energy consumption. Energy efficiency ratio (NX) indicates the amount of oxygen produced per unit of electrical energy, and specific energy consumption (BN) refers to the energy required to produce a unit of product. Energy efficiency ratio and specific energy consumption are obtained on-site by using an energy meter and a flow meter.

[0078] S6.2. For a single oxygen generator, set the production capacity as CN and the maximum daily production capacity as H. Based on the maximum daily production capacity, divide the production capacity into 20 equal parts, namely 0.05H, 0.10H, 0.15H, 0.20H, ..., 0.95H, H;

[0079] A single oxygen generator was used to produce oxygen at capacities of 0.05H, 0.10H, 0.15H, 0.20H, ..., 0.95H, H, respectively. The energy efficiency ratio (EER) at the corresponding capacities was measured to be NX. 0.05 NX 0.10 NX 0.15 NX 0.20 ..., NX 0.95 NX1; The specific energy consumption at the corresponding production capacity is BN. 0.05 BN 0.10 BN 0.15 BN 0.20 ... BN 0.95 BN1;

[0080] S6.3. Based on the above data, establish the relationship function between energy efficiency ratio NX, specific energy consumption, and production capacity CN, with the expression as follows:

[0081] NX = a nx ·CN 2 +b nx ·CN+c nx

[0082] BN = a bn ·CN 2 +b bn ·CN+c bn

[0083] Among them, a nx b nx cnx Here are the quadratic, first-order, and zero-order fitting parameters for NX; a bn b bn c bn These are the second, first, and zeroth order fitting parameters for BN;

[0084] NX = NX 0.05 NX 0.10 NX 0.15 NX 0.20 , ..., NX 0.95 NX1; CN = 0.05H, 0.10H, 0.15H, 0.20H, ..., 0.95H, H, substitute into NX = a nx ·CN 2 +b nx ·CN+c nx In the middle, the least squares method is used to determine a. nx b nx c nx The value;

[0085] Let BN = BN respectively 0.05 BN 0.10 BN 0.15 BN 0.20 , ..., BN 0.95 BN1; CN = 0.05H, 0.10H, 0.15H, 0.20H, ..., 0.95H, H, substitute into BN = a bn ·CN 2 +b bn ·CN+c bn In the middle, the least squares method is used to determine a. bn b bn c bn The value;

[0086] S6.4. Establish the comprehensive evaluation factor ZP for energy efficiency ratio and production capacity, with the following expression:

[0087] ZP = m zp ·NX+n zp ·BN

[0088] Where, m zp and n zp These are the weight values ​​of NX and BN in the comprehensive evaluation factors of energy efficiency ratio and production capacity, respectively; ZP is determined by expert scoring or the experience value of testing personnel.

[0089] Then, the quadratic function maximum value solution method is used to solve for the maximum value of the comprehensive evaluation factor of energy efficiency ratio and production capacity, and the production capacity value h corresponding to the maximum value, where h is the optimal daily production capacity of a single oxygen generator.

[0090] Furthermore, the specific implementation method of step S7 includes the following steps:

[0091] S7.1. Based on the optimal daily production capacity of a single oxygen generator obtained in step S6, calculate the minimum number of oxygen generators u required, expressed as:

[0092]

[0093] S7.2. Considering that malfunctions may occur during the operation of the oxygen generator, making it difficult for the remaining oxygen generators to meet the total oxygen production demand, a safety margin of 1 is set. Therefore, the required number of oxygen generators is:

[0094] S7.3. Let the cost of each oxygen generator be P, and the total cost of the oxygen generator be SP, expressed as:

[0095]

[0096] Let p be the annual maintenance cost of the oxygen generator, and r be the discount rate. Considering the operating costs over the next 10 years, the total discounted cost of the oxygen generator is p. N The expression is:

[0097]

[0098] Among them, t p Number of years of operation;

[0099] S7.4. Set the total cost of directly purchasing oxygen to SP. m The corresponding cost-benefit ratio XB is expressed as:

[0100]

[0101] Determine the relationship between the cost-benefit ratio XB and 1:

[0102] When XB>1, it proves that the above-mentioned option of purchasing an oxygen generator is more economical and reasonable than the option of directly purchasing oxygen after 10 years of equipment operation, and the purchase of an oxygen generator is recommended.

[0103] When XB≤1, it is proven that the above-mentioned option of purchasing an oxygen generator is not as economical and reasonable as the option of directly purchasing oxygen after 10 years of equipment operation. Therefore, the option of directly purchasing oxygen is recommended.

[0104] The beneficial effects of this invention are:

[0105] The present invention provides a method for calculating the number of treatment equipment for carbon monoxide emissions based on the combustion of mixed solid waste. This method considers the impact of carbon monoxide emission data before and after the prediction time point on the prediction time point, thereby improving the accuracy of carbon monoxide emission prediction and assisting in more effectively controlling and reducing the emission of harmful gases, thus mitigating environmental pollution and potential threats to public health.

[0106] The present invention provides a method for calculating the number of treatment equipment needed for carbon monoxide emissions from the combustion of mixed solid waste. This method not only ensures sufficient treatment equipment to effectively reduce the environmental and health impacts of carbon monoxide, but also optimizes resource allocation, avoids over-investment and resource waste, and improves economic efficiency. Simultaneously, appropriate equipment configuration enhances treatment efficiency and long-term operation of the equipment, reducing maintenance costs. Attached Figure Description

[0107] Figure 1 This is a flowchart illustrating a method for calculating the number of treatment devices for carbon monoxide emissions from the combustion of mixed solid waste, as described in this invention. Detailed Implementation

[0108] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only for explaining the invention and are not intended to limit the invention; that is, the described specific embodiments are merely a part of the embodiments of the invention, and not all of them. The components of the specific embodiments of the invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations, and the invention may also have other embodiments.

[0109] Therefore, the following detailed description of specific embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected specific embodiments of the invention. All other specific embodiments obtained by those skilled in the art based on these specific embodiments without inventive effort are within the scope of protection of this invention.

[0110] To further understand the invention's content, features, and effects, the following specific embodiments are provided, along with accompanying drawings. Figure 1 Detailed explanation is as follows:

[0111] Example 1:

[0112] A method for calculating the number of treatment equipment for carbon monoxide emissions from the combustion of mixed solid waste includes the following steps:

[0113] S1. Set the influencing factors of carbon monoxide content in solid waste combustion, including waste humidity, oxygen concentration, combustion environment temperature, combustion environment pressure, industrial waste content, fuel distribution uniformity, and fuel stockpiling density; collect the values ​​of the influencing factors and calculate carbon monoxide emissions;

[0114] Furthermore, 10 time points from t1 to t10 were selected, and the values ​​of influencing factors at the 10 time points were collected to calculate the carbon monoxide emissions at the 10 time points.

[0115] The method for calculating carbon monoxide emissions in step S1 is to install an ultrasonic flow meter in the emission pipeline to measure the volume of flue gas; collect flue gas samples and use an electrochemical sensor to measure the concentration of carbon monoxide; and calculate the carbon monoxide emissions by multiplying the volume of flue gas by its concentration.

[0116] Furthermore, the calculation methods for influencing factors are as follows:

[0117] Waste moisture content: Random samples were taken from the mixed waste and the moisture content of the waste was tested using the drying method.

[0118] Oxygen concentration: The oxygen concentration was directly measured using a headspace gas analyzer.

[0119] Combustion ambient temperature: The ambient temperature during the combustion of mixed waste was directly measured using an infrared thermal imager.

[0120] Combustion ambient pressure: The ambient pressure during the combustion of mixed waste is directly measured using an electronic barometer.

[0121] Industrial waste content: Industrial solid waste is separated from the mixed waste by manual sorting and physical separation. Then, the proportion of industrial waste in the mixed waste is calculated by weighing. This is the industrial waste content.

[0122] Fuel distribution uniformity: Random samples are taken from the mixed waste, and the waste is dried and sieved to obtain the mass of waste of different particle sizes. The standard deviation of the mixed waste is calculated and used as an indicator of fuel distribution uniformity.

[0123] Fuel stockpile density: Fuel stockpile density was measured using a conventional container method by randomly sampling from the mixed waste.

[0124] S2. Based on the data collected in step S1, establish the correlation between influencing factors and carbon monoxide emissions, compare the degree of influence of different influencing factors on carbon monoxide emissions, and extract the main factors affecting carbon monoxide emissions;

[0125] Furthermore, the specific implementation method of step S2 includes the following steps:

[0126] S2.1. Set the values ​​of the j-th influencing factor corresponding to 10 time nodes from t1 to t10, denoted as [missing information]. The corresponding carbon monoxide emissions are Calculate the relationship h between the j-th influencing factor and carbon monoxide emissions. j The expression is:

[0127]

[0128] S2.2. Based on the method in step S2.1, calculate the relationship h1 to h7 between waste humidity, oxygen concentration, combustion ambient temperature, combustion ambient pressure, industrial waste content, fuel distribution uniformity, fuel stockpiling density and carbon monoxide emissions. Then compare h1 to h7, select the factors corresponding to the 5 largest values ​​as the main factors affecting carbon monoxide emissions, and number the corresponding main factors affecting carbon monoxide emissions in descending order as z1 to z5.

[0129] S3. Based on the main factors affecting carbon monoxide emissions obtained in step S2, construct a factor matrix of the main factors affecting carbon monoxide emissions; then, based on the factor matrix of the main factors affecting carbon monoxide emissions, predict the carbon monoxide emissions at time tn based on the carbon monoxide emissions at times before time tn, and then predict the carbon monoxide emissions at time tn based on the carbon monoxide emissions at times after time tn, to obtain the carbon monoxide emission matrix at time tn under the two cases;

[0130] Furthermore, the specific implementation method of step S3 includes the following steps:

[0131] S3.1. Based on the main factors affecting carbon monoxide emissions obtained in step S2, construct the factor matrix As of the main factors affecting carbon monoxide emissions, with the expression as follows:

[0132]

[0133] Among them, z 1-n z refers to the set of values ​​from the test on day n in z1. 2-n z refers to the set of values ​​from the test on day n in z2. 3-n z refers to the set of values ​​from the test on day n in z3. 4-n z refers to the set of values ​​from the test on day n in z4. 5-n Refers to the set of values ​​from the test on day n in z5;

[0134] It should be noted that z 1-nIt doesn't necessarily have to be a single value; it could be a set of multiple values. For example, if 10 values ​​were tested on day n, then z... 1-n It contains 10 values;

[0135] S3.2. Based on the factor matrix of the main factors affecting carbon monoxide emissions constructed in step S3.1, and combined with the carbon monoxide emissions at times before time tn, predict the carbon monoxide emissions at time tn.

[0136] S3.2.1. Set the carbon monoxide emission matrix corresponding to time t1 as follows: Establish The relationship between As and As is expressed as:

[0137]

[0138] Among them, Bs t1 Cs represents the weighting coefficients of the carbon monoxide emission matrix at time t1. t1 is a constant in the carbon monoxide emission matrix corresponding to time t1;

[0139] Will A nonlinear transformation is performed, and the transformed carbon monoxide emission matrix is ​​denoted as... The expression is:

[0140]

[0141] Among them, Ds t1 For tanh(As·Bs) t1 +Cs t1 The coefficient of Es t1 t1 is a constant in the transformed carbon monoxide emission matrix at time t1;

[0142] S3.2.2. Set the carbon monoxide emission matrix corresponding to time t2 as follows: Establish The relationship between As and As is expressed as:

[0143]

[0144] Among them, Bs t2 Cs represents the weighting coefficients of the carbon monoxide emission matrix at time t2. t2 t2 is a constant in the carbon monoxide emission matrix corresponding to time t2;

[0145] Carbon monoxide emission matrix at time t2 The carbon monoxide emission matrix is ​​corrected and denoted as follows: The expression is:

[0146]

[0147] in, For (As·Bs) t2 +Cs t2 The coefficient of ) For the revised carbon monoxide emissions matrix The coefficient;

[0148] S3.2.3. Calculate sequentially Then calculate the carbon monoxide emission matrix corresponding to time tn. Establish The relationship between As and As is expressed as:

[0149]

[0150] Among them, Bs tn Cs represents the weighting coefficients of the carbon monoxide emission matrix at time tn. tn is a constant in the carbon monoxide emission matrix corresponding to time tn;

[0151] Carbon monoxide emission matrix at time tn The correction is performed, and the corrected carbon monoxide emission matrix obtained before time tn is denoted as follows:

[0152]

[0153] in, For (As·Bs) tn +Cs tn The coefficient of ) The carbon monoxide emission matrix obtained based on time points prior to time tn is in the corrected matrix. The coefficient;

[0154] Furthermore, in the above formula, Bs tn Cs tn These are values ​​that need to be fitted, requiring at least n+2 sets. Only with As can the solution be performed, and the least squares method can be used to solve it.

[0155] S3.3. Predict the carbon monoxide emissions at time tn based on the carbon monoxide emissions at times after time tn;

[0156] S3.3.1. Using the carbon monoxide emissions at time points t(n+1), ..., t(m-1), tm, predict the carbon monoxide emissions at time tn, where tm is the last time point;

[0157] S3.3.2. Set the carbon monoxide emission matrix corresponding to time tm as follows: Establish The relationship between As and As is expressed as:

[0158]

[0159] Among them, Bs tm Cs represents the weighting coefficients of the carbon monoxide emission matrix at time tm. tm is a constant in the carbon monoxide emission matrix corresponding to time tm;

[0160] Will A nonlinear transformation is performed, and the transformed carbon monoxide emission matrix is ​​denoted as... The expression is:

[0161]

[0162] Among them, Ds tm For tanh(As·Bs) tm +Cs tm The coefficient of Es tm is a constant in the transformed carbon monoxide emissions matrix;

[0163] S3.3.3. Set the carbon monoxide emission matrix corresponding to time t(m-1) as follows: Establish The relationship between As and As is expressed as:

[0164]

[0165] Among them, Bs t(m-1) Cs represents the weighting coefficients of the carbon monoxide emission matrix at time t(m-1). t(m-1) is a constant in the carbon monoxide emission matrix corresponding to time t(m-1);

[0166] right The carbon monoxide emission matrix is ​​corrected and denoted as follows: The expression is:

[0167]

[0168] in, For (As·Bs) t(m-1) +Cs t(m-1) The coefficient of ) For the revised carbon monoxide emissions matrix The coefficient;

[0169] S3.3.4. Calculate sequentially Then set the carbon monoxide emission matrix corresponding to time tn. Establish The relationship with As:

[0170]

[0171] Among them, Bs tn2+ The carbon monoxide emission matrix at time tn The weighting coefficient, Cs tn2+ The carbon monoxide emission matrix at time tn The constant;

[0172] Carbon monoxide emission matrix at time tn The correction is performed, and the corrected carbon monoxide emission matrix obtained after time tn is denoted as follows: The resulting expression is:

[0173]

[0174] in, For (As·Bs) tn2 +Cs tn2 The coefficient of ) The carbon monoxide emission matrix obtained after time tn is in the corrected matrix. The coefficient.

[0175] S4. Using the carbon monoxide emission matrices at time tn obtained in step S3 for the two cases, establish a comprehensive carbon monoxide emission matrix to predict carbon monoxide emissions based on the combustion of mixed solid waste.

[0176] Furthermore, the specific implementation method of step S4 includes the following steps:

[0177] S4.1. Establish the comprehensive carbon monoxide emission matrix, and obtain the expression:

[0178]

[0179] in, Let be the matrix of total carbon monoxide emissions at time tn, and β1 be... The corresponding weighting coefficient, β2 is The corresponding weighting coefficients;

[0180] In the above formula, Bs tn Cs tn , Bs tn2 Cs tn2β1 and β2 are the values ​​that need to be fitted, requiring at least m+6 sets. Only with As data can the solution be performed, and the least squares method can be used to solve it.

[0181] S4.2. To obtain effective information for the prediction of time tn from all tm time points, a coefficient threshold Ytr is set, and comparisons are made sequentially. Relationship with Ytr:

[0182] when reserve

[0183] when make

[0184] The final comprehensive carbon monoxide emission matrix is ​​obtained, thus completing the prediction of carbon monoxide emissions.

[0185] S5. Based on the carbon monoxide emissions from the combustion of the mixed solid waste predicted in step S4, calculate the amount of oxygen required to treat the carbon monoxide emissions;

[0186] Furthermore, the specific implementation method of step S5 includes the following steps:

[0187] S5.1. Set the amount of oxygen required to convert one unit of carbon monoxide into carbon dioxide as e, and combine this with step S5 to predict the comprehensive carbon monoxide emission matrix at time tn. The total amount of oxygen required to treat carbon monoxide emissions is calculated as follows:

[0188] S5.2. To prevent carbon monoxide leakage due to insufficient oxygen, a safety factor η is introduced into the total amount of oxygen required to treat carbon monoxide emissions obtained in step S5.1, resulting in a safety factor-corrected total amount of oxygen required to treat carbon monoxide emissions.

[0189] S6. Calculate the optimal daily production capacity of a single oxygen generator;

[0190] Furthermore, the specific implementation method of step S6 includes the following steps:

[0191] S6.1. For a single oxygen generator, energy efficiency and energy consumption are considered. Energy efficiency and energy consumption are analyzed using two indicators: energy efficiency ratio (NX) and specific energy consumption. Energy efficiency ratio (NX) indicates the amount of oxygen produced per unit of electrical energy, and specific energy consumption (BN) refers to the energy required to produce a unit of product. Energy efficiency ratio and specific energy consumption are obtained on-site by using an energy meter and a flow meter.

[0192] Energy efficiency ratio (EER): An energy meter installed on the oxygen concentrator's power line records the total electrical energy consumption of the equipment within a specific time period; a flow meter installed on the oxygen concentrator's oxygen output pipeline records the total amount of oxygen produced within the same time period. The ratio of the total amount of oxygen produced to the total electrical energy consumed is the energy efficiency ratio.

[0193] Specific energy consumption: An energy meter installed on the oxygen concentrator's power line records the total electrical energy consumption of the equipment within a specific time period; a flow meter installed on the oxygen output pipe of the oxygen concentrator records the total amount of oxygen produced within the same time period. The ratio of total electrical energy consumption to total oxygen production is the specific energy consumption.

[0194] S6.2. For a single oxygen generator, set the production capacity as CN and the maximum daily production capacity as H. Based on the maximum daily production capacity, divide the production capacity into 20 equal parts, namely 0.05H, 0.10H, 0.15H, 0.20H, ..., 0.95H, H;

[0195] A single oxygen generator was used to produce oxygen at capacities of 0.05H, 0.10H, 0.15H, 0.20H, ..., 0.95H, H, respectively. The energy efficiency ratio (EER) at the corresponding capacities was measured to be NX. 0.05 NX 0.10 NX 0.15 NX 0.20 ..., NX 0.95 NX1; The specific energy consumption at the corresponding production capacity is BN. 0.05 BN 0.10 BN 0.15 BN 0.20 ... BN 0.95 BN1;

[0196] S6.3. Based on the above data, establish the relationship function between energy efficiency ratio NX, specific energy consumption, and production capacity CN, with the expression as follows:

[0197] NX = a nx ·CN 2 +b nx ·CN+c nx

[0198] BN = a bn ·CN 2 +b bn ·CN+c bn

[0199] Among them, a nx b nx c nx Here are the quadratic, first-order, and zero-order fitting parameters for NX; a bn b bn cbn These are the second, first, and zeroth order fitting parameters for BN;

[0200] NX = NX 0.05 NX 0.10 NX 0.15 NX 0.20 , ..., NX 0.95 NX1; CN = 0.05H, 0.10H, 0.15H, 0.20H, ..., 0.95H, H, substitute into NX = a nx ·CN 2 +b nx ·CN+c nx In the middle, the least squares method is used to determine a. nx b nx c nx The value;

[0201] Let BN = BN respectively 0.05 BN 0.10 BN 0.15 BN 0.20 , ..., BN 0.95 BN1; CN = 0.05H, 0.10H, 0.15H, 0.20H, ..., 0.95H, H, substitute into BN = a bn ·CN 2 +b bn ·CN+c bn In the middle, the least squares method is used to determine a. bn b bn c bn The value;

[0202] S6.4. Establish the comprehensive evaluation factor ZP for energy efficiency ratio and production capacity, with the following expression:

[0203] ZP = m zp ·NX+n zp ·BN

[0204] Where, m zp and n zp These are the weight values ​​of NX and BN in the comprehensive evaluation factors of energy efficiency ratio and production capacity, respectively; ZP is determined by expert scoring or the experience value of testing personnel.

[0205] Then, the quadratic function maximum value solution method is used to solve for the maximum value of the comprehensive evaluation factor of energy efficiency ratio and production capacity, and the production capacity value h corresponding to the maximum value, where h is the optimal daily production capacity of a single oxygen generator.

[0206] S7. Based on the amount of oxygen required to treat carbon monoxide emissions obtained in step S5 and the optimal daily production capacity of a single oxygen generator obtained in step S6, calculate the number of treatment devices for carbon monoxide emissions based on the combustion of mixed solid waste.

[0207] Furthermore, the specific implementation method of step S7 includes the following steps:

[0208] S7.1. Based on the optimal daily production capacity of a single oxygen generator obtained in step S6, calculate the minimum number of oxygen generators u required, expressed as:

[0209]

[0210] S7.2. Considering that malfunctions may occur during the operation of the oxygen generator, making it difficult for the remaining oxygen generators to meet the total oxygen production demand, a safety margin of 1 is set. Therefore, the required number of oxygen generators is:

[0211] S7.3. Let the cost of each oxygen generator be P, and the total cost of the oxygen generator be SP, expressed as:

[0212]

[0213] Let p be the annual maintenance cost of the oxygen generator, and r be the discount rate. Considering the operating costs over the next 10 years, the total discounted cost of the oxygen generator is p. N The expression is:

[0214]

[0215] Among them, t p Number of years of operation;

[0216] S7.4. Set the total cost of directly purchasing oxygen to SP. m The corresponding cost-benefit ratio XB is expressed as:

[0217]

[0218] Determine the relationship between the cost-benefit ratio XB and 1:

[0219] When XB>1, it proves that the above-mentioned option of purchasing an oxygen generator is more economical and reasonable than the option of directly purchasing oxygen after 10 years of equipment operation, and the purchase of an oxygen generator is recommended.

[0220] When XB≤1, it is proven that the above-mentioned option of purchasing an oxygen generator is not as economical and reasonable as the option of directly purchasing oxygen after 10 years of equipment operation. Therefore, the option of directly purchasing oxygen is recommended.

[0221] The key points and areas to be protected in this invention are:

[0222] (1) Method for predicting carbon monoxide emissions from the combustion of mixed solid waste;

[0223] (2) Calculation method for the number of equipment required for carbon monoxide treatment.

[0224] It should be noted that relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0225] Although this application has been described above with reference to specific embodiments, various modifications can be made and components can be replaced with equivalents without departing from the scope of this application. In particular, as long as there is no structural conflict, the features in the specific embodiments disclosed in this application can be combined with each other in any way. The lack of an exhaustive description of these combinations in this specification is merely for the sake of brevity and resource conservation. Therefore, this application is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

Claims

1. A method for calculating the number of treatment equipment for carbon monoxide emissions from the combustion of mixed solid waste, characterized in that, Includes the following steps: S1. Set the influencing factors of carbon monoxide content in solid waste combustion, including waste humidity, oxygen concentration, combustion environment temperature, combustion environment pressure, industrial waste content, fuel distribution uniformity, and fuel stockpiling density; collect the values ​​of the influencing factors and calculate carbon monoxide emissions; S2. Based on the data collected in step S1, establish the correlation between influencing factors and carbon monoxide emissions, compare the degree of influence of different influencing factors on carbon monoxide emissions, and extract the main factors affecting carbon monoxide emissions; S3. Based on the main factors affecting carbon monoxide emissions obtained in step S2, construct a factor matrix of the main factors affecting carbon monoxide emissions; then, based on the factor matrix of the main factors affecting carbon monoxide emissions, predict the carbon monoxide emissions at time tn based on the carbon monoxide emissions at times before time tn, and then predict the carbon monoxide emissions at time tn based on the carbon monoxide emissions at times after time tn, to obtain the carbon monoxide emission matrix at time tn under the two cases; S4. Using the carbon monoxide emission matrices at time tn obtained in step S3 for the two cases, establish a comprehensive carbon monoxide emission matrix to predict carbon monoxide emissions based on the combustion of mixed solid waste. S5. Based on the carbon monoxide emissions from the combustion of the mixed solid waste predicted in step S4, calculate the amount of oxygen required to treat the carbon monoxide emissions; S6. Calculate the optimal daily production capacity of a single oxygen generator; S7. Based on the amount of oxygen required to treat carbon monoxide emissions obtained in step S5 and the optimal daily production capacity of a single oxygen generator obtained in step S6, calculate the number of treatment devices for carbon monoxide emissions based on the combustion of mixed solid waste.

2. The method for calculating the number of treatment equipment for carbon monoxide emissions from the combustion of mixed solid waste according to claim 1, characterized in that, Ten time points, from t1 to t10, were selected. The values ​​of the influencing factors at these ten time points were collected, and the carbon monoxide emissions at these ten time points were calculated. The method for calculating carbon monoxide emissions in step S1 is to install an ultrasonic flow meter in the emission pipeline to measure the volume of flue gas; collect flue gas samples and use an electrochemical sensor to measure the concentration of carbon monoxide; and calculate the carbon monoxide emissions by multiplying the volume of flue gas by its concentration.

3. The method for calculating the number of treatment equipment for carbon monoxide emissions based on the combustion of mixed solid waste according to claim 2, characterized in that, The specific implementation method of step S2 includes the following steps: S2.

1. Set the values ​​of the j-th influencing factor corresponding to 10 time nodes from t1 to t10, denoted as [missing information]. For j = 1, 2, ..., 7, the corresponding carbon monoxide emissions are: Calculate the relationship h between the j-th influencing factor and carbon monoxide emissions. j The expression is: S2.

2. Based on the method in step S2.1, calculate the relationship h1 to h7 between waste humidity, oxygen concentration, combustion environment temperature, combustion environment pressure, industrial waste content, fuel distribution uniformity, fuel stacking density and carbon monoxide emissions. Then compare h1 to h7, select the factors corresponding to the 5 largest values ​​as the main factors affecting carbon monoxide emissions, and number the corresponding main factors affecting carbon monoxide emissions in descending order as z1 to z5.

4. The method for calculating the number of treatment equipment for carbon monoxide emissions based on the combustion of mixed solid waste according to claim 3, characterized in that, The specific implementation method of step S3 includes the following steps: S3.

1. Based on the main factors affecting carbon monoxide emissions obtained in step S2, construct the factor matrix As of the main factors affecting carbon monoxide emissions, with the expression as follows: Among them, z 1-n z refers to the set of values ​​from the test on day n in z1. 2-n z refers to the set of values ​​from the test on day n in z2. 3-n z refers to the set of values ​​from the test on day n in z3. 4-n z refers to the set of values ​​from the test on day n in z4. 5-n Refers to the set of values ​​from the test on day n in z5; S3.

2. Based on the factor matrix of the main factors affecting carbon monoxide emissions constructed in step S3.1, and combined with the carbon monoxide emissions at times before time tn, predict the carbon monoxide emissions at time tn. S3.2.

1. Set the carbon monoxide emission matrix corresponding to time t1 as follows: Establish The relationship between As and As is expressed as: Among them, Bs t1 Cs represents the weighting coefficients of the carbon monoxide emission matrix at time t1. t1 is a constant in the carbon monoxide emission matrix corresponding to time t1; Will A nonlinear transformation is performed, and the transformed carbon monoxide emission matrix is ​​denoted as... The expression is: Among them, Ds t1 For tanh(As·Bs) t1 +Cs t1 The coefficient of Es t1 t1 is a constant in the transformed carbon monoxide emission matrix at time t1; S3.2.

2. Set the carbon monoxide emission matrix corresponding to time t2 as follows: Establish The relationship between As and As is expressed as: Among them, Bs t2 Cs represents the weighting coefficients of the carbon monoxide emission matrix at time t2. t2 t2 is a constant in the carbon monoxide emission matrix corresponding to time t2; Carbon monoxide emission matrix at time t2 The carbon monoxide emission matrix is ​​corrected and denoted as follows: The expression is: in, For (As·Bs) t2 +Cs t2 The coefficient of ) For the revised carbon monoxide emissions matrix The coefficient; S3.2.

3. Calculate sequentially Then calculate the carbon monoxide emission matrix corresponding to time tn. Establish The relationship between As and As is expressed as: Among them, Bs tn Cs represents the weighting coefficients of the carbon monoxide emission matrix at time tn. tn is a constant in the carbon monoxide emission matrix corresponding to time tn; Carbon monoxide emission matrix at time tn The correction is performed, and the corrected carbon monoxide emission matrix obtained before time tn is denoted as follows: in, For (As·Bs) tn +Cs tn The coefficient of ) The carbon monoxide emission matrix obtained based on time points prior to time tn is in the corrected matrix. The coefficient; S3.

3. Predict the carbon monoxide emissions at time tn based on the carbon monoxide emissions at times after time tn; S3.3.

1. Using the carbon monoxide emissions at time points t(n+1), ..., t(m-1), tm, predict the carbon monoxide emissions at time tn, where tm is the last time point; S3.3.

2. Set the carbon monoxide emission matrix corresponding to time tm as follows: Establish The relationship between As and As is expressed as: Among them, Bs tm Cs represents the weighting coefficients of the carbon monoxide emission matrix at time tm. tm is a constant in the carbon monoxide emission matrix corresponding to time tm; Will A nonlinear transformation is performed, and the transformed carbon monoxide emission matrix is ​​denoted as... The expression is: Among them, Ds tm For tanh(As·Bs) tm +Cs tm The coefficient of Es tm is a constant in the transformed carbon monoxide emissions matrix; S3.3.

3. Set the carbon monoxide emission matrix corresponding to time t(m-1) as follows: Establish The relationship between As and As is expressed as: Among them, Bs t(m-1) Cs represents the weighting coefficients of the carbon monoxide emission matrix at time t(m-1). t(m-1) is a constant in the carbon monoxide emission matrix corresponding to time t(m-1); right The carbon monoxide emission matrix is ​​corrected and denoted as follows: The expression is: in, For (As·Bs) t(m-1) +Cs t(m-1) The coefficient of ) For the revised carbon monoxide emissions matrix The coefficient; S3.3.

4. Calculate sequentially Then set the carbon monoxide emission matrix corresponding to time tn. Establish The relationship with As: Among them, Bs tn2+ The carbon monoxide emission matrix at time tn The weighting coefficient, Cs tn2+ The carbon monoxide emission matrix at time tn The constant; Carbon monoxide emission matrix at time tn The correction is performed, and the corrected carbon monoxide emission matrix obtained after time tn is denoted as follows: The resulting expression is: in, For (As·Bs) tn2 +Cs tn2 The coefficient of ) The carbon monoxide emission matrix obtained after time tn is in the corrected matrix. The coefficient.

5. The method for calculating the number of treatment equipment for carbon monoxide emissions from the combustion of mixed solid waste according to claim 4, characterized in that, The specific implementation method of step S4 includes the following steps: S4.

1. Establish the comprehensive carbon monoxide emission matrix, and obtain the expression: in, Let be the matrix of total carbon monoxide emissions at time tn, and β1 be... The corresponding weighting coefficient, β2 is The corresponding weighting coefficients; S4.

2. To obtain effective information for the prediction of time tn from all tm time points, a coefficient threshold Ytr is set, and comparisons are made sequentially. Relationship with Ytr: when reserve when make The final comprehensive carbon monoxide emission matrix is ​​obtained, thus completing the prediction of carbon monoxide emissions.

6. The method for calculating the number of treatment equipment for carbon monoxide emissions based on the combustion of mixed solid waste according to claim 5, characterized in that, The specific implementation method of step S5 includes the following steps: S5.

1. Set the amount of oxygen required to convert one unit of carbon monoxide into carbon dioxide as e, and combine this with step S5 to predict the comprehensive carbon monoxide emission matrix at time tn. The total amount of oxygen required to treat carbon monoxide emissions is calculated as follows: S5.

2. To prevent carbon monoxide leakage due to insufficient oxygen, a safety factor η is introduced into the total amount of oxygen required to treat carbon monoxide emissions obtained in step S5.1, resulting in a safety factor-corrected total amount of oxygen required to treat carbon monoxide emissions.

7. The method for calculating the number of treatment equipment for carbon monoxide emissions based on the combustion of mixed solid waste according to claim 6, characterized in that, The specific implementation method of step S6 includes the following steps: S6.

1. For a single oxygen generator, energy efficiency and energy consumption are considered. Energy efficiency and energy consumption are analyzed using two indicators: energy efficiency ratio (NX) and specific energy consumption. Energy efficiency ratio (NX) indicates the amount of oxygen produced per unit of electrical energy, and specific energy consumption (BN) refers to the energy required to produce a unit of product. Energy efficiency ratio and specific energy consumption are obtained on-site by using an energy meter and a flow meter. S6.

2. For a single oxygen generator, set the production capacity as CN and the maximum daily production capacity as H. Based on the maximum daily production capacity, divide the production capacity into 20 equal parts, namely 0.05H, 0.10H, 0.15H, 0.20H, ..., 0.95H, H; A single oxygen generator was used to produce oxygen at capacities of 0.05H, 0.10H, 0.15H, 0.20H, ..., 0.95H, H, respectively. The energy efficiency ratio (EER) at the corresponding capacities was measured to be NX. 0.05 NX 0.10 NX 0.15 NX 0.20 ..., NX 0.95 NX1; The specific energy consumption at the corresponding production capacity is BN. 0.05 BN 0.10 BN 0.15 BN 0.20 ... BN 0.95 BN1; S6.

3. Based on the above data, establish the relationship function between energy efficiency ratio NX, specific energy consumption, and production capacity CN, with the expression as follows: NX=a nx ·CN 2 +b nx ·CN+c nx BN=a bn ·CN 2 +b bn ·CN+c bn Among them, a nx b nx c nx Here are the quadratic, first-order, and zero-order fitting parameters for NX; a bn b bn c bn These are the second, first, and zeroth order fitting parameters for BN; NX = NX 0.05 NX 0.10 NX 0.15 NX 0.20 , ..., NX 0.95 NX1; CN = 0.05H, 0.10H, 0.15H, 0.20H, ..., 0.95H, H, substitute into NX = a nx ·CN 2 +b nx ·CN+c nx In the middle, the least squares method is used to determine a. nx b nx c nx The value; Let BN = BN respectively 0.05 BN 0.10 BN 0.15 BN 0.20 , ..., BN 0.95 BN1; CN = 0.05H, 0.10H, 0.15H, 0.20H, ..., 0.95H, H, substitute into BN = a bn ·CN 2 +b bn ·CN+c bn In the middle, the least squares method is used to determine a. bn b bn c bn The value; S6.

4. Establish the comprehensive evaluation factor ZP for energy efficiency ratio and production capacity, with the following expression: ZP=m zp ·NX+n zp ·BN Where, m zp and n zp These are the weight values ​​of NX and BN in the comprehensive evaluation factors of energy efficiency ratio and production capacity, respectively; ZP is determined by expert scoring or the experience value of testing personnel. Then, the quadratic function maximum value solution method is used to solve for the maximum value of the comprehensive evaluation factor of energy efficiency ratio and production capacity, and the production capacity value h corresponding to the maximum value, where h is the optimal daily production capacity of a single oxygen generator.

8. The method for calculating the number of treatment equipment for carbon monoxide emissions based on the combustion of mixed solid waste according to claim 7, characterized in that, The specific implementation method of step S7 includes the following steps: S7.

1. Based on the optimal daily production capacity of a single oxygen generator obtained in step S6, calculate the minimum number of oxygen generators u required, expressed as: S7.

2. Considering that malfunctions may occur during the operation of the oxygen generator, making it difficult for the remaining oxygen generators to meet the total oxygen production demand, a safety margin of 1 is set. Therefore, the required number of oxygen generators is: S7.

3. Let the cost of each oxygen generator be P, and the total cost of the oxygen generator be SP, expressed as: Let p be the annual maintenance cost of the oxygen generator, and r be the discount rate. Considering the operating costs over the next 10 years, the total discounted cost of the oxygen generator is p. N The expression is: Among them, t p Number of years of operation; S7.

4. Set the total cost of directly purchasing oxygen to SP. m The corresponding cost-benefit ratio XB is expressed as: Determine the relationship between the cost-benefit ratio XB and 1: When XB>1, it proves that the above-mentioned option of purchasing an oxygen generator is more economical and reasonable than the option of directly purchasing oxygen after 10 years of equipment operation, and the purchase of an oxygen generator is recommended. When XB≤1, it is proven that the above-mentioned option of purchasing an oxygen generator is not as economical and reasonable as the option of directly purchasing oxygen after 10 years of equipment operation. Therefore, the option of directly purchasing oxygen is recommended.

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