Method for calculating quantity of carbon monoxide emission treatment equipment based on mixed solid waste combustion

Abstract

The invention discloses a method for calculating the number of treatment equipment for carbon monoxide emission based on mixed solid waste combustion, and belongs to the technical field of carbon monoxide emission treatment. In order to improve the accuracy and economical efficiency of carbon monoxide emission treatment, the method comprises the steps of setting influence factors of the carbon monoxide content in solid waste combustion, establishing the incidence relation between the influence factors and the carbon monoxide emission, constructing a factor matrix of main factors influencing the carbon monoxide emission, and establishing a comprehensive carbon monoxide emission matrix. The method comprises the following steps: predicting carbon monoxide emission based on mixed solid waste combustion, calculating the amount of oxygen required for processing the carbon monoxide emission, and calculating the single-day optimal productivity of a single oxygen generator; and based on the oxygen amount required for treating the carbon monoxide emission amount and the single-day optimal productivity of a single oxygen generator, the number of treatment equipment for carbon monoxide emission based on mixed solid waste combustion is calculated. According to the invention, resource configuration is optimized, and excessive investment and resource waste are avoided.

Description

Technical Field

[0001] The present invention belongs to the technical field of carbon monoxide emission treatment, and in particular to a method for calculating the number of treatment equipment for carbon monoxide emission based on the combustion of mixed solid waste. Background Art

[0002] Mixed solid waste, including industrial solid waste and domestic waste, is particularly common in modern cities and industrialized areas. Industrial solid waste includes metal scraps, chemical waste and construction waste, while domestic waste mainly comes from household and commercial activities and includes food waste, paper and plastic. With population growth and changes in consumption patterns, the total amount of these wastes continues to increase, and the need for effective waste management strategies is becoming increasingly urgent.

[0003] Combustion of mixed solid waste is a common treatment method, mainly for the purpose of reducing waste volume and weight, recovering energy, and reducing hazardous substances. Combustion can significantly reduce the volume and weight of waste and reduce reliance on landfills; at the same time, the "waste to energy" conversion process helps reduce reliance on fossil fuels and provide a sustainable energy supply. In addition, the combustion process can destroy toxic chemicals and pathogens in the waste, reducing potential harm to the environment and human health.

[0004] Although combustion brings advantages such as reduction and energy recovery, it also faces challenges such as emissions, high energy consumption and cost, and social acceptance. The combustion process produces harmful gases such as carbon monoxide, which need to be managed through strict emission control and efficient purification technology.

[0005] At present, there is a lack of methods to predict carbon monoxide emissions during the combustion of mixed solid waste and the corresponding calculation method for the number of carbon monoxide treatment equipment. Failure to accurately control carbon monoxide emissions may lead to violations of environmental standards, aggravate air pollution, and cause damage to human health and ecosystems. In addition, inaccurate equipment configuration may lead to waste of environmental protection resources. For example, too much equipment not only takes up additional space, but also consumes unnecessary energy and maintenance costs. Economically, the lack of effective calculation methods may cause companies to face higher economic burdens and investment risks. Excessive equipment investment and operating costs will increase, while insufficient equipment configuration may lead to failure to meet environmental protection requirements, affecting the company's market reputation and business continuity. For environmental protection equipment manufacturers, inaccurate market demand forecasts will also increase production and inventory risks and affect the company's economic benefits. Summary of the invention

[0006] The technical problem to be solved by the present invention is to improve the accuracy and economy of carbon monoxide emission treatment, and propose 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 object, the present invention is implemented through the following technical solutions:

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

[0009] S1. Set the factors affecting the 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 stacking density; collect the values ​​of the influencing factors and calculate the carbon monoxide emissions;

[0010] S2. Based on the data collected in step S1, establish a correlation between influencing factors and carbon monoxide emissions, compare the 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, a factor matrix of the main factors affecting carbon monoxide emissions is constructed; then, based on the factor matrix of the main factors affecting carbon monoxide emissions, the carbon monoxide emissions at time tn are predicted based on the carbon monoxide emissions at the time before time tn, and then the carbon monoxide emissions at time tn are predicted based on the carbon monoxide emissions at the time after time tn, to obtain the carbon monoxide emission matrices at time tn in two cases;

[0012] S4. Using the carbon monoxide emission matrix at time tn in the two cases obtained in step S3, a comprehensive carbon monoxide emission matrix is ​​established 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 mixed solid waste predicted in step S4, calculate the amount of oxygen required to process the carbon monoxide emissions;

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

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

[0016] Furthermore, 10 time nodes from t1 to t10 are selected, the values ​​of the influencing factors at the 10 time nodes are collected, and the carbon monoxide emissions at the 10 time nodes are calculated;

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

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

[0019] S2.1. Set the value of the jth influencing factor corresponding to 10 time nodes t1 to t10 as The corresponding carbon monoxide emissions are Calculate the relationship between the jth influencing factor and carbon monoxide emissions h j , the expression is:

[0020]

[0021] S2.2. Based on the method in step S2.1, calculate the relationship between waste humidity, oxygen concentration, combustion environment temperature, combustion environment pressure, industrial waste content, fuel distribution uniformity, fuel stacking density and carbon monoxide emissions h1~h7 in turn; then compare h1~h7, and select the factors corresponding to the 5 larger values ​​as the main factors affecting carbon monoxide emissions, and number the corresponding main factors affecting carbon monoxide emissions in order from large to small as z1~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, a factor matrix As of the main factors affecting carbon monoxide emissions is constructed, and the expression is:

[0024]

[0025] Among them, z 1-n Refers to the set of values ​​of the test on day n in z1, z 2-n refers to the set of values ​​of the test on day n in z2, z 3-n refers to the set of values ​​of the test on day n in z3, z 4-n Refers to the set of values ​​of the test on day n in z4, z 5-n Refers to the set of values ​​of 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, combined with the carbon monoxide emissions at the time before time tn, the carbon monoxide emissions at time tn are predicted;

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

[0028]

[0029] Among them, Bs t1 is the weight coefficient of the carbon monoxide emission matrix corresponding to time t1, Cs t1 is the constant of the carbon monoxide emission matrix corresponding to time t1;

[0030] Will After nonlinear transformation, the transformed carbon monoxide emission matrix is ​​recorded as The expression is:

[0031]

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

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

[0034]

[0035] Among them, Bs t2 is the weight coefficient of the carbon monoxide emission matrix corresponding to time t2, Cs t2 is the constant of the carbon monoxide emission matrix corresponding to time t2;

[0036] The carbon monoxide emission matrix corresponding to time t2 After correction, the corrected carbon monoxide emission matrix is ​​recorded as The expression is:

[0037]

[0038] in, As Bs t2 +Cs t2 ), is the corrected carbon monoxide emission matrix The coefficient of

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

[0040]

[0041] Among them, Bs tn is the weight coefficient of the carbon monoxide emission matrix corresponding to time tn, Cs tn is the constant of the carbon monoxide emission matrix corresponding to time tn;

[0042] The carbon monoxide emission matrix corresponding to time tn The modified carbon monoxide emission matrix obtained before time tn is recorded as

[0043]

[0044] in, As Bs tn +Cs tn ), is the matrix of the corrected carbon monoxide emissions obtained before time tn The coefficient of

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

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

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

[0048]

[0049] Among them, Bs tm is the weight coefficient of the carbon monoxide emission matrix corresponding to time tm, Cs tm is the constant of the carbon monoxide emission matrix corresponding to time tm;

[0050] Will After nonlinear transformation, the transformed carbon monoxide emission matrix is ​​recorded as The expression is:

[0051]

[0052] Among them, Ds tm is tanh(As·Bs tm +Cs tm ), Es tm is the constant of the transformed carbon monoxide emission matrix;

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

[0054]

[0055] Among them, Bs t(m-1) is the weight coefficient of the carbon monoxide emission matrix corresponding to time t(m-1), Cs t(m-1) is the constant of the carbon monoxide emission matrix corresponding to time t(m-1);

[0056] right After correction, the corrected carbon monoxide emission matrix is ​​recorded as The expression is:

[0057]

[0058] in, As Bs t(m-1) +Cs t(m-1) ) coefficient; is the corrected carbon monoxide emission matrix The coefficient of

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

[0060]

[0061] Among them, Bs tn2+ is the carbon monoxide emission matrix corresponding to time tn The weight coefficient, Cs tn2+ is the carbon monoxide emission matrix corresponding to time tn The constant of

[0062] The carbon monoxide emission matrix corresponding to time tn The modified carbon monoxide emission matrix obtained after time tn is recorded as The expression is:

[0063]

[0064] in, As Bs tn2 +Cs tn2 ), is the matrix of the modified carbon monoxide emissions obtained after time tn The coefficient of .

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

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

[0067]

[0068] in, is the comprehensive carbon monoxide emission matrix corresponding to time tn, β1 is The corresponding weight coefficient, β2 is The corresponding weight coefficient;

[0069] S4.2. In order to obtain the effective information of all tm moments for the prediction of tn moment, set the coefficient threshold Ytr and compare them in turn. Relationship with Ytr:

[0070] when reserve

[0071] when make

[0072] The final comprehensive carbon monoxide emissions matrix is ​​obtained to complete 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 a unit of carbon monoxide into carbon dioxide as e, and combine the prediction in step S5 to obtain the comprehensive carbon monoxide emission matrix corresponding to time tn Calculate the total amount of oxygen required to treat the carbon monoxide emissions as

[0075] S5.2. To prevent carbon monoxide leakage caused by 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 to obtain the total amount of oxygen required to treat carbon monoxide emissions corrected by the safety factor.

[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 and specific energy consumption, respectively. The energy efficiency ratio NX is used to indicate the amount of oxygen produced per unit of electrical energy, and the specific energy consumption BN refers to the energy required to produce a unit of product. The energy efficiency ratio and specific energy consumption are measured on site using an electric energy meter and a flow meter.

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

[0079] A single oxygen generator is used to produce oxygen according to the production capacity of 0.05H, 0.10H, 0.15H, 0.20H, ..., 0.95H, H, and the energy efficiency ratio under the corresponding production capacity is measured to be NX 0.05 、NX 0.10 、NX 0.15 、NX 0.20 、…、NX 0.95 , NX1; the specific energy consumption under the corresponding capacity is measured as BN 0.05 , BN 0.10 , BN 0.15 , BN 0.20 ,…,BN 0.95 , BN1;

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

[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 are the quadratic, linear and zero-order fitting parameters of NX; a bn 、b bn 、c bn are the quadratic, linear and zeroth order fitting parameters of BN;

[0084] Set 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 NX = a nx ·CN 2 +b nx ·CN+c nx In the equation, the least square method is used to determine a nx 、b nx 、c nx The value of

[0085] BN=BN 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 equation, the least square method is used to determine a bn 、b bn 、c bn The value of

[0086] S6.4. Establish the comprehensive evaluation factor ZP of energy efficiency ratio and production capacity, expressed as:

[0087] ZP=m zp ·NX+n zp ·BN

[0088] Among them, m zp and n zp are the weight values ​​of NX and BN in the comprehensive evaluation factors of energy efficiency ratio and capacity respectively; ZP is determined by the expert scoring method or the experience value of the tester;

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

[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 the oxygen generator may fail during operation, the remaining oxygen generators may be unable to meet the total oxygen production demand. Therefore, 1 is set as the safety level, and the required number of oxygen generators is

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

[0095]

[0096] Assuming the annual maintenance cost of the oxygen generator is p and the discount rate is r, considering the operating costs in the next 10 years, the total cost of the oxygen generator after discount is p N , the expression is:

[0097]

[0098] Among them, t p is the number of years in operation;

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

[0100]

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

[0102] When XB>1, it is proved that the above scheme of purchasing oxygen generator is more economical and reasonable than the scheme of directly purchasing oxygen when the equipment is in operation for 10 years, and it is recommended to purchase oxygen generator;

[0103] When XB≤1, it is proved that the above plan of purchasing oxygen generator is more economical and reasonable than the plan of directly purchasing oxygen when the equipment has been in operation for 10 years, and direct purchase of oxygen is recommended.

[0104] Beneficial effects of the present invention:

[0105] The method for calculating the number of treatment equipment for carbon monoxide emissions based on the combustion of mixed solid waste described in the present invention simultaneously takes into account 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, thereby reducing pollution to the environment and potential threats to public health.

[0106] The method for calculating the number of treatment equipment for carbon monoxide emissions from the combustion of mixed solid wastes described in the present invention can not only ensure sufficient treatment equipment to effectively reduce the environmental and health impacts of carbon monoxide, but also optimize resource allocation, avoid overinvestment and waste of resources, and improve economic benefits. At the same time, appropriate equipment configuration enhances treatment efficiency and long-term operation of equipment, and reduces maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0107] Figure 1 This is a flow chart of a method for calculating the number of treatment equipment for carbon monoxide emissions based on the combustion of mixed solid wastes according to the present invention. DETAILED DESCRIPTION

[0108] In order to make the purpose, technical solution and advantages of the present invention more clear, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention, that is, the specific embodiments described are only part of the embodiments of the present invention, rather than all of the specific embodiments. The components of the specific embodiments of the present invention described and shown in the drawings herein can be arranged and designed in various different configurations, and the present invention can also have other embodiments.

[0109] Therefore, the following detailed description of the specific embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents the selected specific embodiments of the present invention. Based on the specific embodiments of the present invention, all other specific embodiments obtained by those skilled in the art without making creative work are within the scope of protection of the present invention.

[0110] In order to further understand the content, features and effects of the present invention, the following specific implementation methods are given as examples, and the attached Figure 1 The detailed instructions are as follows:

[0111] Embodiment 1:

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

[0113] S1. Set the factors affecting the 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 stacking density; collect the values ​​of the influencing factors and calculate the carbon monoxide emissions;

[0114] Furthermore, 10 time nodes from t1 to t10 are selected, the values ​​of the influencing factors at the 10 time nodes are collected, and the carbon monoxide emissions at the 10 time nodes are calculated;

[0115] The method for calculating the carbon monoxide emission in step S1 is to install an ultrasonic flowmeter in the emission pipe to measure the volume of the flue gas; collect a flue gas sample and use an electrochemical sensor to measure the concentration of carbon monoxide; and calculate the carbon monoxide emission by multiplying the volume and concentration of the flue gas;

[0116] Furthermore, the calculation method of influencing factors is as follows:

[0117] Waste moisture: Random samples are taken from the mixed waste and the waste moisture is tested using the drying method.

[0118] Oxygen concentration: Use a headspace gas analyzer to directly measure the oxygen concentration.

[0119] Combustion environment temperature: Use an infrared thermal imager to directly measure the ambient temperature when mixed waste is burning.

[0120] Combustion environment pressure: Use an electronic barometer to directly measure the environment pressure during the combustion of mixed waste.

[0121] Industrial waste content: The industrial solid waste is selected and separated from the mixed garbage by manual physical separation, and then the proportion of industrial waste in the mixed waste is calculated by weighing, which is the industrial waste content.

[0122] Fuel distribution uniformity: Randomly sample the mixed waste, dry and screen the waste to obtain the mass of waste classified by different particle sizes. Calculate the standard deviation of the mixed waste and use it as an indicator of fuel distribution uniformity.

[0123] Fuel stacking density: Random samples are taken from the mixed waste and the fuel stacking density is measured using the conventional container method.

[0124] S2. Based on the data collected in step S1, establish a correlation between influencing factors and carbon monoxide emissions, compare the 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 value of the jth influencing factor corresponding to 10 time nodes t1 to t10 as The corresponding carbon monoxide emissions are Calculate the relationship between the jth influencing factor and carbon monoxide emissions h j , the expression is:

[0127]

[0128] S2.2. Based on the method in step S2.1, calculate the relationship between waste humidity, oxygen concentration, combustion environment temperature, combustion environment pressure, industrial waste content, fuel distribution uniformity, fuel stacking density and carbon monoxide emissions h1~h7 in turn; then compare h1~h7, and select the factors corresponding to the 5 larger values ​​as the main factors affecting carbon monoxide emissions, and number the corresponding main factors affecting carbon monoxide emissions in order from large to small as z1~z5.

[0129] S3. Based on the main factors affecting carbon monoxide emissions obtained in step S2, a factor matrix of the main factors affecting carbon monoxide emissions is constructed; then, based on the factor matrix of the main factors affecting carbon monoxide emissions, the carbon monoxide emissions at time tn are predicted based on the carbon monoxide emissions at the time before time tn, and then the carbon monoxide emissions at time tn are predicted based on the carbon monoxide emissions at the time after time tn, to obtain the carbon monoxide emission matrices at time tn in 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, a factor matrix As of the main factors affecting carbon monoxide emissions is constructed, and the expression is:

[0132]

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

[0134] It should be noted that z 1-nIt is not necessarily a single value, but may be a collection of multiple values. For example, if 10 values ​​are tested on day n, then z 1-n Contains 10 values;

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

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

[0137]

[0138] Among them, Bs t1 is the weight coefficient of the carbon monoxide emission matrix corresponding to time t1, Cs t1 is the constant of the carbon monoxide emission matrix corresponding to time t1;

[0139] Will After nonlinear transformation, the transformed carbon monoxide emission matrix is ​​recorded as The expression is:

[0140]

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

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

[0143]

[0144] Among them, Bs t2 is the weight coefficient of the carbon monoxide emission matrix corresponding to time t2, Cs t2 is the constant of the carbon monoxide emission matrix corresponding to time t2;

[0145] The carbon monoxide emission matrix corresponding to time t2 After correction, the corrected carbon monoxide emission matrix is ​​recorded as The expression is:

[0146]

[0147] in, As Bs t2 +Cs t2 ), is the corrected carbon monoxide emission matrix The coefficient of

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

[0149]

[0150] Among them, Bs tn is the weight coefficient of the carbon monoxide emission matrix corresponding to time tn, Cs tn is the constant of the carbon monoxide emission matrix corresponding to time tn;

[0151] The carbon monoxide emission matrix corresponding to time tn The modified carbon monoxide emission matrix obtained before time tn is recorded as

[0152]

[0153] in, As Bs tn +Cs tn ), is the matrix of the corrected carbon monoxide emissions obtained before time tn The coefficient of

[0154] Furthermore, in the above formula, Bs tn , Cs tn is the value that needs to be fitted, requiring at least n+2 groups and As can be solved by the least squares method.

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

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

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

[0158]

[0159] Among them, Bs tm is the weight coefficient of the carbon monoxide emission matrix corresponding to time tm, Cs tm is the constant of the carbon monoxide emission matrix corresponding to time tm;

[0160] Will After nonlinear transformation, the transformed carbon monoxide emission matrix is ​​recorded as The expression is:

[0161]

[0162] Among them, Ds tm is tanh(As·Bs tm +Cs tm ), Es tm is the constant of the transformed carbon monoxide emission matrix;

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

[0164]

[0165] Among them, Bs t(m-1) is the weight coefficient of the carbon monoxide emission matrix corresponding to time t(m-1), Cs t(m-1) is the constant of the carbon monoxide emission matrix corresponding to time t(m-1);

[0166] right After correction, the corrected carbon monoxide emission matrix is ​​recorded as The expression is:

[0167]

[0168] in, As Bs t(m-1) +Cs t(m-1) ) coefficient; is the corrected carbon monoxide emission matrix The coefficient of

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

[0170]

[0171] Among them, Bs tn2+ is the carbon monoxide emission matrix corresponding to time tn The weight coefficient, Cs tn2+ is the carbon monoxide emission matrix corresponding to time tn The constant of

[0172] The carbon monoxide emission matrix corresponding to time tn The modified carbon monoxide emission matrix obtained after time tn is recorded as The expression is:

[0173]

[0174] in, As Bs tn2 +Cs tn2 ), is the matrix of the modified carbon monoxide emissions obtained after time tn The coefficient of .

[0175] S4. Using the carbon monoxide emission matrix at time tn in the two cases obtained in step S3, a comprehensive carbon monoxide emission matrix is ​​established 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 a comprehensive carbon monoxide emission matrix and obtain the expression:

[0178]

[0179] in, is the comprehensive carbon monoxide emission matrix corresponding to time tn, β1 is The corresponding weight coefficient, β2 is The corresponding weight coefficient;

[0180] In the above formula, Bs tn , Cs tn , Bs tn2 , Cs tn2, β1, β2 are the values ​​that need to be fitted, and at least m+6 groups are required and As data are required to solve the problem, and the least squares method can be used for the solution.

[0181] S4.2. In order to obtain the effective information of all tm moments for the prediction of tn moment, set the coefficient threshold Ytr and compare them in turn. Relationship with Ytr:

[0182] when reserve

[0183] when make

[0184] The final comprehensive carbon monoxide emissions matrix is ​​obtained to complete the prediction of carbon monoxide emissions.

[0185] S5. Based on the carbon monoxide emissions from the combustion of mixed solid waste predicted in step S4, calculate the amount of oxygen required to process 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 a unit of carbon monoxide into carbon dioxide as e, and combine the prediction in step S5 to obtain the comprehensive carbon monoxide emission matrix corresponding to time tn Calculate the total amount of oxygen required to treat the carbon monoxide emissions as

[0188] S5.2. To prevent carbon monoxide leakage caused by 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 to obtain the total amount of oxygen required to treat carbon monoxide emissions corrected by the safety factor.

[0189] S6. Calculate the optimal daily output 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 and specific energy consumption, respectively. The energy efficiency ratio NX is used to indicate the amount of oxygen produced per unit of electrical energy, and the specific energy consumption BN refers to the energy required to produce a unit of product. The energy efficiency ratio and specific energy consumption are measured on site using an electric energy meter and a flow meter.

[0192] Energy efficiency ratio: The energy meter installed on the power line of the oxygen concentrator is used to record the total power consumption of the equipment within a specific time; the flow meter installed on the oxygen output pipeline of the oxygen concentrator is used to record the total amount of oxygen produced in the same time. The ratio of the total amount of oxygen produced to the total power consumption is the energy efficiency ratio.

[0193] Specific energy consumption: The energy meter installed on the power line of the oxygen concentrator is used to record the total energy consumption of the equipment in a specific time; the flow meter installed on the oxygen output pipeline of the oxygen concentrator is used to record the total amount of oxygen produced in the same time. The ratio of the total energy consumption to the total amount of oxygen produced is the specific energy consumption.

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

[0195] A single oxygen generator is used to produce oxygen according to the production capacity of 0.05H, 0.10H, 0.15H, 0.20H, ..., 0.95H, H, and the energy efficiency ratio under the corresponding production capacity is measured to be NX 0.05 、NX 0.10 、NX 0.15 、NX 0.20 、…、NX 0.95 , NX1; the specific energy consumption under the corresponding capacity is measured as BN 0.05 , BN 0.10 , BN 0.15 , BN 0.20 ,…,BN 0.95 , BN1;

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

[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 are the quadratic, linear and zero-order fitting parameters of NX; a bn 、b bn 、cbn are the quadratic, linear and zeroth order fitting parameters of BN;

[0200] Set 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 NX = a nx ·CN 2 +b nx ·CN+c nx In the equation, the least square method is used to determine a nx 、b nx 、c nx The value of

[0201] BN=BN 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 equation, the least square method is used to determine a bn 、b bn 、c bn The value of

[0202] S6.4. Establish the comprehensive evaluation factor ZP of energy efficiency ratio and production capacity, expressed as:

[0203] ZP=m zp ·NX+n zp ·BN

[0204] Among them, m zp and n zp are the weight values ​​of NX and BN in the comprehensive evaluation factors of energy efficiency ratio and capacity respectively; ZP is determined by the expert scoring method or the experience value of the tester;

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

[0206] S7. Based on the amount of oxygen required to treat the carbon monoxide emissions obtained in step S5 and the optimal daily output of a single oxygen generator obtained in step S6, calculate the number of equipment for treating carbon monoxide emissions from 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 the oxygen generator may fail during operation, the remaining oxygen generators may be unable to meet the total oxygen production demand. Therefore, 1 is set as the safety level, and the required number of oxygen generators is

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

[0212]

[0213] Assuming the annual maintenance cost of the oxygen generator is p and the discount rate is r, considering the operating costs in the next 10 years, the total cost of the oxygen generator after discount is p N , the expression is:

[0214]

[0215] Among them, t p is the number of years in operation;

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

[0217]

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

[0219] When XB>1, it is proved that the above scheme of purchasing oxygen generator is more economical and reasonable than the scheme of directly purchasing oxygen when the equipment is in operation for 10 years, and it is recommended to purchase oxygen generator;

[0220] When XB≤1, it is proved that the above plan of purchasing oxygen generator is more economical and reasonable than the plan of directly purchasing oxygen when the equipment has been in operation for 10 years, and direct purchase of oxygen is recommended.

[0221] The key points and intended protection points of the present invention are:

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

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

[0224] It should be noted that relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0225] Although the present application has been described above with reference to specific embodiments, various modifications may be made thereto and parts thereof may be replaced with equivalents without departing from the scope of the present application. In particular, as long as there is no structural conflict, the various features in the specific embodiments disclosed in the present application may be used in combination with each other in any manner, and the fact that these combinations are not exhaustively described in this specification is only for the sake of omitting space and saving resources. Therefore, the present 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: The steps include: S1. Set the factors affecting the 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 stacking density; collect the values ​​of the influencing factors and calculate the carbon monoxide emissions; S2. Based on the data collected in step S1, establish a correlation between influencing factors and carbon monoxide emissions, compare the 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, a factor matrix of the main factors affecting carbon monoxide emissions is constructed; then, based on the factor matrix of the main factors affecting carbon monoxide emissions, the carbon monoxide emissions at time tn are predicted based on the carbon monoxide emissions at the time before time tn, and then the carbon monoxide emissions at time tn are predicted based on the carbon monoxide emissions at the time after time tn, to obtain the carbon monoxide emission matrices at time tn in two cases; S4. Using the carbon monoxide emission matrix at time tn in the two cases obtained in step S3, a comprehensive carbon monoxide emission matrix is ​​established to predict carbon monoxide emissions based on the combustion of mixed solid waste; S5. Based on the carbon monoxide emissions from the combustion of mixed solid waste predicted in step S4, calculate the amount of oxygen required to process the carbon monoxide emissions; S6. Calculate the optimal daily output of a single oxygen generator; S7. Based on the amount of oxygen required to treat the carbon monoxide emissions obtained in step S5 and the optimal daily output of a single oxygen generator obtained in step S6, calculate the number of equipment for treating carbon monoxide emissions from the combustion of mixed solid waste.

2. The method for predicting carbon monoxide emissions based on the combustion of mixed solid waste according to claim 1, characterized in that: Select 10 time nodes from t1 to t10, collect the values ​​of the influencing factors at the 10 time nodes, and calculate the carbon monoxide emissions at the 10 time nodes; The method for calculating the carbon monoxide emission in step S1 is to install an ultrasonic flowmeter in the emission pipe to measure the volume of the flue gas; collect flue gas samples and use an electrochemical sensor to measure the concentration of carbon monoxide; and calculate the carbon monoxide emission by multiplying the volume and concentration of the flue gas.

3. A method for predicting 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 value of the jth influencing factor corresponding to 10 time nodes t1 to t10 as The corresponding carbon monoxide emissions are Calculate the relationship between the jth influencing factor and carbon monoxide emissions h j , the expression is: S2.

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

4. A method for predicting 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, a factor matrix As of the main factors affecting carbon monoxide emissions is constructed, and the expression is: Among them, z 1-n Refers to the set of values ​​of the test on day n in z1, z 2-n refers to the set of values ​​of the test on day n in z2, z 3-n refers to the set of values ​​of the test on day n in z3, z 4-n Refers to the set of values ​​of the test on day n in z4, z 5-n Refers to the set of values ​​of 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, combined with the carbon monoxide emissions at the time before time tn, the carbon monoxide emissions at time tn are predicted; S3.2.

1. Set the carbon monoxide emission matrix corresponding to time t1 as Establish The relationship between and As is expressed as: Among them, Bs t1 is the weight coefficient of the carbon monoxide emission matrix corresponding to time t1, Cs t1 is the constant of the carbon monoxide emission matrix corresponding to time t1; Will After nonlinear transformation, the transformed carbon monoxide emission matrix is ​​recorded as The expression is: Among them, Ds t1 is tanh(As·Bs t1 +Cs t1 ), Es t1 is the constant of the transformed carbon monoxide emission matrix at time t1; S3.2.

2. Set the carbon monoxide emission matrix corresponding to time t2 as Establish The relationship between and As is expressed as: Among them, Bs t2 is the weight coefficient of the carbon monoxide emission matrix corresponding to time t2, Cs t2 is the constant of the carbon monoxide emission matrix corresponding to time t2; The carbon monoxide emission matrix corresponding to time t2 After correction, the corrected carbon monoxide emission matrix is ​​recorded as The expression is: in, As Bs t2 +Cs t2 ), is the corrected carbon monoxide emission matrix The coefficient of S3.2.

3. Calculate sequentially Then calculate the carbon monoxide emission matrix corresponding to time tn Establish The relationship between and As is expressed as: Among them, Bs tn is the weight coefficient of the carbon monoxide emission matrix corresponding to time tn, Cs tn is the constant of the carbon monoxide emission matrix corresponding to time tn; The carbon monoxide emission matrix corresponding to time tn The modified carbon monoxide emission matrix obtained before time tn is recorded as in, As Bs tn +Cs tn ), is the matrix of the corrected carbon monoxide emissions obtained before time tn The coefficient of S3.

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

1. Use the carbon monoxide emissions at time nodes t(n+1),…,t(m-1),tm to predict the carbon monoxide emissions at time tn, where tm is the last time; S3.3.

2. Set the carbon monoxide emission matrix corresponding to time tm to Establish The relationship between and As is expressed as: Among them, Bs tm is the weight coefficient of the carbon monoxide emission matrix corresponding to time tm, Cs tm is the constant of the carbon monoxide emission matrix corresponding to time tm; Will After nonlinear transformation, the transformed carbon monoxide emission matrix is ​​recorded as The expression is: Among them, Ds tm is tanh(As·Bs tm +Cs tm ), Es tm is the constant of the transformed carbon monoxide emission matrix; S3.3.

3. Set the carbon monoxide emission matrix corresponding to time t(m-1) to Establish The relationship between and As is expressed as: Among them, Bs t(m-1) is the weight coefficient of the carbon monoxide emission matrix corresponding to time t(m-1), Cs t(m-1) is the constant of the carbon monoxide emission matrix corresponding to time t(m-1); right After correction, the corrected carbon monoxide emission matrix is ​​recorded as The expression is: in, As Bs t(m-1) +Cs t(m-1) ) coefficient; is the corrected carbon monoxide emission matrix The coefficient of S3.3.

4. Calculate sequentially Then set the carbon monoxide emission matrix corresponding to time tn Establish Relationship with As: Among them, Bs tn2+ is the carbon monoxide emission matrix corresponding to time tn The weight coefficient, Cs tn2+ is the carbon monoxide emission matrix corresponding to time tn The constant of The carbon monoxide emission matrix corresponding to time tn The modified carbon monoxide emission matrix obtained after time tn is recorded as The expression is: in, As Bs tn2 +Cs tn2 ), is the matrix of the modified carbon monoxide emissions obtained after time tn The coefficient of .

5. The method for predicting carbon monoxide emissions based on 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 a comprehensive carbon monoxide emission matrix and obtain the expression: in, is the comprehensive carbon monoxide emission matrix corresponding to time tn, β1 is The corresponding weight coefficient, β2 is The corresponding weight coefficient; S4.

2. In order to obtain the effective information of all tm moments for the prediction of tn moment, set the coefficient threshold Ytr and compare them in turn. Relationship with Ytr: when reserve when make The final comprehensive carbon monoxide emission matrix is ​​obtained to complete the prediction of carbon monoxide emissions.

6. A method for predicting 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 a unit of carbon monoxide into carbon dioxide as e, and combine the prediction in step S5 to obtain the comprehensive carbon monoxide emission matrix corresponding to time tn Calculate the total amount of oxygen required to treat the carbon monoxide emissions as S5.

2. To prevent carbon monoxide leakage caused by 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 to obtain the total amount of oxygen required to treat carbon monoxide emissions corrected by the safety factor η·e·ZA c tn .

7. A method for predicting 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 and specific energy consumption, respectively. The energy efficiency ratio NX is used to indicate the amount of oxygen produced per unit of electrical energy, and the specific energy consumption BN refers to the energy required to produce a unit of product. The energy efficiency ratio and specific energy consumption are measured on site using an electric energy meter and a flow meter. S6.

2. For a single oxygen generator, set the capacity to CN, the maximum daily capacity to H, and divide the capacity into 20 equal parts, namely 0.05H, 0.10H, 0.15H, 0.20H, ..., 0.95H, H; A single oxygen generator is used to produce oxygen according to the production capacity of 0.05H, 0.10H, 0.15H, 0.20H, ..., 0.95H, H, and the energy efficiency ratio under the corresponding production capacity is measured to be NX 0.05 、NX 0.10 、NX 0.15 、NX 0.20 、…、NX 0.95 , NX1; the specific energy consumption under the corresponding capacity is measured as BN 0.05 , BN 0.10 , BN 0.15 , BN 0.20 ,…,BN 0.95 , BN1; S6.

3. Based on the above data, the relationship function between energy efficiency ratio NX, specific energy consumption and production capacity CN is established, and the expression is: 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 are the quadratic, linear and zero-order fitting parameters of NX; a bn , b bn 、c bn are the quadratic, linear and zeroth order fitting parameters of BN; Set 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 NX = a nx ·CN 2 +b nx ·CN+c nx In the least square method, we determine a nx , b nx 、c nx The value of BN=BN 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 least square method, we determine a bn , b bn 、c bn The value of S6.

4. Establish the comprehensive evaluation factor ZP of energy efficiency ratio and production capacity, expressed as: ZP=m zp ·NX+n zp ·BN Among them, m zp and n zp are the weight values ​​of NX and BN in the comprehensive evaluation factors of energy efficiency ratio and capacity respectively; ZP is determined by the expert scoring method or the experience value of the tester; Then, the quadratic function maximum value solving method is used to solve the maximum value of the energy efficiency ratio and the comprehensive evaluation factor of production capacity and the production capacity value h corresponding to the maximum value, where h is the optimal production capacity of a single oxygen generator in a single day.

8. The method for predicting 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 the oxygen generator may fail during operation, the remaining oxygen generators may be unable to meet the total oxygen production demand. Therefore, 1 is set as the safety level, and the required number of oxygen generators is S7.

3. Assume the cost of each oxygen generator to be P, and the total cost of the oxygen generator to be SP, which is expressed as: Assuming the annual maintenance cost of the oxygen generator is p and the discount rate is r, considering the operating costs in the next 10 years, the total cost of the oxygen generator after discount is p N , the expression is: Among them, t p is the number of years in operation; S7.

4. Set the total cost of purchasing oxygen directly to SP m , the corresponding cost-effectiveness ratio XB, is expressed as: Determine the relationship between the cost-effectiveness ratio XB and 1: When XB>1, it is proved that the above scheme of purchasing oxygen generator is more economical and reasonable than the scheme of directly purchasing oxygen when the equipment is in operation for 10 years, and it is recommended to purchase oxygen generator; When XB≤1, it is proved that the above plan of purchasing oxygen generator is more economical and reasonable than the plan of directly purchasing oxygen when the equipment has been in operation for 10 years, and direct purchase of oxygen is recommended.

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