Method for judging abnormity of condenser for flue gas emission continuous monitoring system

Abstract

The invention relates to the technical field of mining area smoke exhaust systems, and particularly discloses a condenser abnormity judging method for a flue gas emission continuous monitoring system, which comprises the following steps: S1, taking a clean condenser, introducing flue gas sample gases with different concentrations, and respectively measuring and establishing reference response time; s2, continuously introducing a flue gas sample gas, and measuring and marking the number n of cycles with abnormal numerical values; s3, the condenser is cleaned and then installed again, the flue gas sample gas is continuously introduced, and n cycles of operation and recording are carried out; s4, calculating a weight coefficient of the reference response time; s5, establishing comprehensive response deviation indexes IN = alpha * T1 + beta * T2 + gamma * T3 corresponding to the flue gas samples with different concentrations; s6, an IN actual value and an IN reference value are calculated, and when the IN actual value is larger than the IN reference value, it is judged that the condenser runs abnormally and needs to be cleaned; and when IN actual is smaller than or equal to IN reference, it is judged that the condenser operates normally. Through calculation and comparison, whether the condenser needs to be detached, replaced and cleaned or not can be quickly and accurately judged.

Description

Technical Field

[0001] The present invention relates to the technical field of mine smoke exhaust systems, and in particular to a method for judging condenser abnormality in a smoke emission continuous monitoring system. Background Art

[0002] The copper smelting process inevitably produces large amounts of polluting flue gases, including sulfur dioxide. Traditionally, this has involved installing a gas hood at the smelter's exhaust to collect the flue gases. After treatment with bag filters and amine desulfurization, the flue gases are discharged directly through the tail gas chimney. To effectively control the environmental impact of industrial flue gases, smelters have implemented continuous emission monitoring systems (CEMS). These systems continuously monitor the concentration and total amount of gaseous pollutants and particulate matter emitted from atmospheric pollution sources, transmitting this information in real time to relevant authorities for timely monitoring and control of flue gas emissions.

[0003] The continuous monitoring system for flue gas emissions is mainly composed of a gaseous pollutant sampling system, a flue gas data analysis system and an information transmission system. For example, the patent with announcement number CN222364947U provides an online flue gas monitoring device under high CO conditions, including an exhaust chimney. A sampling probe is installed at the sampling end of the exhaust chimney. The sampling probe is connected to a CEMS analyzer through a heating pipeline. The CEMS analyzer is provided with a calibration port, a sampling pump, an electrochemical module interface, and a gas chamber. The sampling pump is connected to a heating box and a condenser in sequence through a pipeline. The air inlet end of the sampling pump is connected to the calibration port through a pipeline, a three-way filter, and a check valve. The calibration port is connected to a gas chamber and a solenoid valve in parallel through a pipeline and a three-way filter. The discharge end of the condenser is connected to a waste liquid barrel and an electrochemical oxygen measurement module in parallel through a pipeline and a three-way filter.

[0004] When collecting flue gas, due to the high-temperature treatment in the previous process, the flue gas is accompanied by a large amount of water vapor and has a high humidity. To prevent the water in the flue gas from liquefying and forming acid with sulfur dioxide to corrode the gas transmission pipeline, the gas transmission pipeline needs to be heated with a heating pipe to ensure that the sulfur dioxide and other substances sampled by the sampling pump are in a gaseous state. Before entering the flue gas analysis system, the gas that has been kept heated in the previous process needs to be condensed to remove the water impurities in the sampled gas. After a certain period of use, the condenser needs to be cleaned regularly to remove the condensed impurities. Otherwise, it is very easy for the condenser to malfunction or condensation to be inadequate.

[0005] At present, the method for judging whether there is excessive amine liquid adhering to the cold cavity of the condenser, or whether the condenser is operating abnormally, is mostly to form a regular maintenance cycle through the accumulation of previous experience, and to judge the operation status of the condenser by removing the condenser for actual observation and testing. This method has the problems of low work efficiency, low judgment accuracy and low convenience. Summary of the Invention

[0006] The purpose of the present invention is to solve the problem of low judgment accuracy and convenience in the traditional method of judging whether a condenser is operating abnormally and needs cleaning in a flue gas emission continuous monitoring system.

[0007] The present invention is achieved through the following technical solutions: The present invention provides a method for determining condenser abnormality in a flue gas emission continuous monitoring system, comprising the following steps: S1 Take a clean condenser, pass a variety of flue gas samples of different concentrations, and measure the reference transmission time T1 respectively 基准 , benchmark response time T2 基准 Error time T3 from reference indication 基准 ; S2 continuously introduces flue gas samples and measures the transmission time, response time and indication error time in different cycles, and marks the number of cycles n with abnormal values; S3: Remove the condenser and clean it with distilled water, then reinstall it and introduce the same flue gas samples of different concentrations as in step S1. Run it for n cycles and record the transmission time, response time and indication error time within n cycles. S4 is based on the reference transmission time T1 基准 , benchmark response time T2 基准 Error time T3 from reference indication 基准 As a benchmark, calculate the weight coefficients of transmission time, response time and indication error time, which are denoted as α, β and γ respectively; S5 Establish the comprehensive response deviation index IN = α·∆T1+β·∆T2+γ·∆T3 (1) corresponding to different concentrations of flue gas samples; S6 Calculate the reference comprehensive response deviation index IN in step S1 using the comprehensive response deviation index IN calculation formula in step S5 基准 and the benchmark comprehensive response deviation index IN during actual operation 实际 , when IN 实际 >IN 基准 When IN 实际 ≤IN 基准 When the condenser is operating normally.

[0008] Preferably, in step S1, flue gas samples of different concentrations can be divided into high-concentration flue gas samples, medium-concentration flue gas samples and low-concentration flue gas samples, and the high-concentration flue gas sample is 80-100% of the full scale, the medium-concentration flue gas sample is 50-60% of the full scale, and the low-concentration flue gas sample is 20-30% of the full scale.

[0009] Preferably, the concentration of various flue gas samples can be set to 1000-1100 mg / m 3 , 600-700mg / m 3 280-380 mg / m 3 .

[0010] Preferably, in step S2, the division standard of different cycles is: every ≤ 7 days is considered as a cycle.

[0011] Preferably, in step S2, when the measured indication error time exceeds the reference indication error time T3 in step S1, 基准 If the value is 100±5%, it is recorded as abnormal.

[0012] Preferably, in step S4, α=T1 基准 / (T1 基准 +T2 基准 +T3 基准 )(2); β=T2 基准 / (T1 基准 +T2 基准 +T3 基准 )(3); γ=T3 基准 / (T1 基准 +T2 基准 +T3 基准 )(4); And α+β+γ=1.

[0013] Preferably, in formula (1), ∆T1=(T1 实际 -T1 基准 ) / T1 基准 (5); ∆T2=(T2 实际 -T2 基准 ) / T2 基准 (6); ∆T3=(T3 实际 -T3 基准 ) / T3 基准 (7).

[0014] The technical solution of the present invention has the following beneficial effects: The present invention has found through research that the accumulation of amine liquid in the cold chamber of the condenser is the main cause of the increase in gas flow resistance, which in turn causes the pressure difference between the condenser inlet and outlet to change, ultimately causing the condenser to fail to operate and work normally. Based on the above situation, the present invention establishes a benchmark response time by operating the condenser in a clean state, and proposes a benchmark response time abnormality determination formula. Through experimental verification, this method can quickly determine whether the amount of amine liquid accumulated in the cold chamber of the condenser exceeds the limit of normal operation of the condenser by comparing the deviation between the actual response time and the benchmark value. This allows the operator to quickly and accurately determine whether the condenser needs to be removed, replaced and cleaned. This can effectively reduce the workload of traditional condenser abnormality determination and significantly improve work efficiency. DETAILED DESCRIPTION

[0015] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention are described clearly and completely below. Where specific conditions are not specified in the embodiments, conventional conditions or conditions recommended by the manufacturer shall be followed; and where the manufacturers of the instruments, equipment, reagents, and raw materials used are not specified, they are all commercially available conventional products.

[0016] The present invention provides a method for determining condenser abnormalities in a continuous flue gas emission monitoring system. By analyzing the response time changes of a standard gas within the condenser's cold chamber, a quantitative method for determining abnormal condenser operation is established. This method can then determine the accumulated amount of amine liquid within the condenser and provide a warning for condenser cleaning. The specific determination method includes the following steps: (1) Take a clean condenser, in the initial clean state, adjust the industrial computer to the maintenance state, use a variety of different concentrations of sulfur dioxide and other flue gas standard sample gas, through the gas delivery pipe to the monitoring system, and record the time for the analyzer of the monitoring system to reach a stable reading at each concentration, forming a benchmark response time, which is recorded as the benchmark transmission time T1 基准 , benchmark response time T2 基准 Error time T3 from reference indication 基准 , and establish standardized operating baseline procedures.

[0017] Among them, flue gas samples of different concentrations can be divided into high-concentration flue gas samples, medium-concentration flue gas samples and low-concentration flue gas samples, and the high-concentration flue gas sample is 80-100% of the full scale, the medium-concentration flue gas sample is 50-60% of the full scale, and the low-concentration flue gas sample is 20-30% of the full scale; further, the concentrations of various flue gas samples can be set to 1000-1100 mg / m 3 , 600-700mg / m 3 280-380 mg / m 3The specific concentration ranges of the various flue gas samples and the number of selected types can be reasonably selected and adjusted by those skilled in the art based on their own operating conditions to achieve optimal accuracy, thereby facilitating subsequent more accurate comparison and judgment with the various measured values ​​during actual condenser operation. The following embodiment provides only one selection method that can balance operational convenience and judgment accuracy.

[0018] (2) Establishing a benchmark response time for periodic detection and abnormality determination: Continuously introduce flue gas samples, and measure the transmission time, response time and indication error time in different cycles respectively, and mark the number n of cycles with abnormal values; remove the condenser and clean it with distilled water, then reinstall it, and introduce the same flue gas samples of different concentrations as in step S1, run for n cycles, and record the transmission time, response time and indication error time in n cycles.

[0019] The division criteria for different cycles are: every ≤ 7 days is considered as a cycle; when the measured indication error time exceeds the reference indication error time T3 in step S1, 基准 If the value is 100±5%, it is recorded as abnormal.

[0020] (3) Establish a benchmark response time abnormality judgment formula: Based on the reference transmission time T1 基准 , benchmark response time T2 基准 Error time T3 from reference indication 基准 As a benchmark, calculate the weight coefficients of transmission time, response time and indication error time, which are denoted as α, β and γ respectively. The calculation method is as follows: α=T1 基准 / (T1 基准 +T2 基准 +T3 基准 )(2); β=T2 基准 / (T1 基准 +T2 基准 +T3 基准 )(3); γ=T3 基准 / (T1 基准 +T2 基准 +T3 基准 )(4); And α+β+γ=1.

[0021] And establish the comprehensive response deviation index IN = α·∆T1+β·∆T2+γ·∆T3 corresponding to different concentrations of flue gas samples (1); ∆T1=(T1 实际 -T1 基准 ) / T1基准 (5); ∆T2=(T2 实际 -T2 基准 ) / T2 基准 (6); ∆T3=(T3 实际 -T3 基准 ) / T3 基准 (7) According to the above formula (1), the comprehensive response deviation index IN = α·∆T1 + β·∆T2 + γ·∆T3, the benchmark comprehensive response deviation index IN benchmark in step S1 and the benchmark comprehensive response deviation index IN actual during actual operation are calculated respectively. When IN actual > IN benchmark, it is determined that the condenser is operating abnormally and needs to be cleaned; when IN actual ≤ IN benchmark, it is determined that the condenser is operating normally.

[0022] Example Step 1: Establishing a benchmark response time. In this embodiment, the concentration of various sulfur dioxide standard gases is set to 1083 mg / m 3 High concentration, 663mg / m 3 Medium concentration and 303mg / m 3 Low concentration, the specific process and parameter settings are as follows: Table 1 Response time of high concentration sulfur dioxide standard gas

[0023] Among them, transmission time T1: observe the analyzer indication until the reading begins to jump, record and calculate the sample gas pipeline transmission time T1; Response time T2: Continue to observe and record the instrument response time T2 when the display value of the analytical instrument to be tested rises to 90% of the nominal value of the standard gas concentration; Indication error time T3: When full scale ≥ 100 μmol / mol (286 mg / m 3 ), the indication error does not exceed ±5%. Take the full scale as 1200mg / m 3 For example, the smelter needs to meet the indication error of no more than ±5%, so the indication error should reach the high concentration (concentration 1083mg / m 3 ) above 95% and below 105%, which is 1028.85 mg / m 3 and 1137.15 mg / m 3 Between, just reaching 95%, 1028.85mg / m 3 It is the end point of indication, which just meets the minimum standard of the end point.

[0024] Table 2 Response time of medium concentration sulfur dioxide standard gas

[0025] Among them, transmission time T1: observe the analyzer indication until the reading begins to jump, record and calculate the sample gas pipeline transmission time T1; Response time T2: Continue to observe and record the instrument response time T2 when the display value of the analytical instrument to be tested rises to 90% of the nominal value of the standard gas concentration; Indication error time T3: When full scale ≥ 100 μmol / mol (286 mg / m 3 ), the indication error does not exceed ±5%. Take the full scale as 1200mg / m 3 For example, the smelter needs to meet the indication error of no more than ±5%, so the indication error should reach the medium concentration (concentration 663mg / m 3 ) above 95% and below 105%, which is 629.85 mg / m 3 and 696.15 mg / m 3 Between, just reaching 95%, 629.85mg / m 3 It is the end point of indication, which just meets the minimum standard of the end point.

[0026] Table 3 Response time of low concentration sulfur dioxide standard gas

[0027] Among them, transmission time T1: observe the analyzer indication until the reading begins to jump, record and calculate the sample gas pipeline transmission time T1; Response time T2: Continue to observe and record the instrument response time T2 when the display value of the analytical instrument to be tested rises to 90% of the nominal value of the standard gas concentration; Indication error time T3: When full scale ≥ 100 μmol / mol (286 mg / m 3 ), the indication error does not exceed ±5%. Take the full scale as 1200mg / m 3 For example, the smelter needs to meet the indication error of no more than ±5%, so the indication error should reach the low concentration (concentration 303mg / m 3 ) above 95% and below 105%, which is 287.85 mg / m 3 and 318.15 mg / m 3 Between, just reaching 95%, 318.15mg / m 3 It is the end point of indication, which just meets the minimum standard of the end point.

[0028] 1.1 About transmission time T1 When the flow rate is 1.5L / min, the minimum transmission time T1 is 103s, the maximum is 107s, and the average is 105.3s. The ideal transmission time T1 can be calculated using the following formula: A 6mm diameter, 45m long hose was used to transport the sample gas from the sampling probe to the built-in gas analysis room of the industrial computer. The sample gas flow rate was set to 1.5L / min. Therefore, the time required for the sample gas to travel from the sample gas inlet to the sampling port, and from the sampling port to the industrial computer analyzer room was calculated as follows: Flow unit conversion: Q=1.5L / min=2.5×10 -5 m 3 / s Hose area: S = 3.14 × 0.004 × 0.004 = 2.83 × 10 -5 m 2 Flow rate: V=Q / S=(2.5×10 -5 )÷(2.83×10 -5 )=0.883m / s Time for sample gas to travel from the sample gas inlet to the sampling port, and from the sampling port to the gas analysis room (hose length L = 45m, a total of 90m round trip): T=L / V=90÷0.883=101.93s Through the above calculation and comparison, it can be seen that under ideal conditions, the transmission time T1 of the sample gas is 101.93s, while the actual time consumed for introducing the sample gas is 105.3s, a difference of 3.4s, that is, the actual loss time is 3.4s.

[0029] 1.2 About response time T2 The average response time T2 for high concentration is 21.3s, the average response time T2 for medium concentration is 16.7s, and the average response time T2 for low concentration is 11s. It can be seen that the lower the concentration of sulfur dioxide, the shorter the instrument response time T2 when the display value of the analyzer rises to 90% of the nominal value of the standard gas concentration, and it is easier to reach the indicated value under the high-temperature ultraviolet differential spectroscopy gas analysis technology.

[0030] 1.3 About indication error time T3 When the high concentration indication error time T3 reaches 90% of the nominal value of the standard gas concentration in the response time T2, and then rises to 95% of the nominal value of the standard gas concentration, the average high concentration indication error time T3 is 8.3s, the average medium concentration indication error time T3 is 5.3s, and the average low concentration indication error time T3 is 1.6s. It can also be concluded that when the sample gas concentration changes from 90% to 95% of the nominal value, the lower the sample gas concentration, the shorter the time required, and vice versa.

[0031] 1.4 About total time (T1+T2+T3) The average total transmission time (T1+T2+T3) for high concentrations was 135.3 seconds, the average total transmission time (T1+T2+T3) for medium concentrations was 128 seconds, and the average total transmission time (T1+T2+T3) for low concentrations was 117 seconds. This difference in total transmission time is primarily due to the response time T2 and the indication error time T3 when the displayed values ​​of the high, medium, and low concentration sulfur dioxide analyzers rise to 90% and 95% of the nominal standard gas concentration. Therefore, under the 1.5 L / min flow rate, we can conclude that the sample gas transmission time T1 is the sum of the theoretical transmission time and the actual loss time.

[0032] Table 4 Preliminary benchmark response time of sulfur dioxide standard gas with different concentrations

[0033] The time obtained from the clean condenser in the initial clean state is used as the benchmark response time. In order to facilitate subsequent calculations and more stringent management, all the above values ​​are rounded up to one digit, making the standard space of the total time to 200s smaller and more stringent. After rounding, the final benchmark response time is obtained. The results are shown in Table 5 below: Table 5 Final benchmark response time of sulfur dioxide standard gas with different concentrations

[0034] With the above operating parameters, a standardized operating benchmark procedure was established, that is, the flow rate of the standard gas was 1.5L / min, the transmission time T1 benchmark value was 106s, the response time T2 high, medium and low concentration benchmark values ​​were 22s, 17s and 11s respectively, and the indication error time T3 high, medium and low concentration benchmark values ​​were 9s, 6s and 2s respectively.

[0035] Step 2: According to the HJ 75-2017 Technical Specification for Continuous Monitoring of Flue Gas (SO2, NOX, and Particulate Matter) Emissions from Stationary Pollution Sources, the weekly maintenance period should not exceed 7 days. The first Wednesday after the installation of the condenser is set as the initial maintenance time, and every subsequent Wednesday is the maintenance time. 1083mg / m 3 High concentration, 663mg / m 3 Final concentration: 303 mg / m 3 For low concentration of sulfur dioxide, the transmission time T1, the response time T2, and the indication error time T3 are measured to determine the time consumed for the transmission time T1, the response time T2, and the indication error time T3 during the production and operation of the condenser.

[0036] The measurement process and specific data are as follows: Table 6 Results of the condenser operation with high concentration of sulfur dioxide

[0037] Table 7 Results of the condenser operation with medium concentration of sulfur dioxide

[0038] Table 8 Results of the condenser operation with low concentration of sulfur dioxide

[0039] As shown in Table 6 above, the operating conditions of the condenser with high concentration of sulfur dioxide introduced within five weeks, Table 7 is the operating conditions of the condenser with medium concentration of sulfur dioxide introduced within five weeks, and Table 8 is the operating conditions of the condenser with low concentration of sulfur dioxide introduced within five weeks.

[0040] According to the above-mentioned actual condenser operation test results, after the condenser has been in operation for five weeks, the transmission time T1, response time T2, and indication error time T3 of high, medium, and low concentrations of sulfur dioxide will all increase. Specifically, the response time T2 of the high-concentration sulfur dioxide sample exceeded 200 seconds in the fifth week; the response time T2 of the medium-concentration sulfur dioxide sample was close to 200 seconds in the fourth week, and exceeded 200 seconds in the fifth week; while the response time T2 of the low-concentration sulfur dioxide sample was close to 200 seconds in the third week, and exceeded 200 seconds in both the fourth and fifth weeks. The total time in the fifth week was 269 seconds. The corresponding indication error time T3 did not reach 95% of the sulfur dioxide standard sample, indicating abnormal condenser operation.

[0041] Analysis of the above measurements revealed that the high-concentration sulfur dioxide sample's transmission time, T1, was reduced due to absorption by the amine liquid in the condenser, resulting in a decrease in the incoming sample concentration and a delay in the analyzer's initial reading. Lowering the sample concentration also delayed the response time, T2, and the indication error, T3, reaching 90% and 95% of the reading. The effect of amine absorption in the condenser was most pronounced on the low-concentration sulfur dioxide sample. After the total transmission time of the low-concentration sulfur dioxide sample reached 269 seconds in the fifth week, the indication error, T3, significantly exceeded ±5%, significantly exceeding the requirements of HJ75-2017, "Technical Specifications for Continuous Monitoring of Flue Gas (SO2, NOX, Particulate Matter) Emissions from Stationary Pollution Sources," which stipulate a system response time of ≤200 seconds and an indication error of no more than ±5%. The system response time for medium-concentration sulfur dioxide samples approached 200 seconds during the fourth week of operation, and for low-concentration sulfur dioxide samples exceeded 200 seconds during the fourth week of operation, failing to meet the requirements for a system response time of ≤200 seconds and an indication error of no more than ±5%. Only during the first three weeks of condenser operation did the system response time meet these requirements, effectively meeting the requirements of HJ 75-2017, "Technical Specifications for Continuous Monitoring of Flue Gas (SO2, NOX, Particulate Matter) Emissions from Stationary Pollution Sources," which require a system response time of ≤200 seconds and an indication error of no more than ±5%.

[0042] Step 3: After the above five weeks of measurement, the condenser was removed and the inside of the condenser was cleaned with distilled water. The cleaning solution was sent for inspection. The amine concentration in the cleaning solution was determined to be 4.57wt%, which was indeed at a level that required the condenser to be cleaned.

[0043] Through the above-mentioned establishment of the benchmark response time, the response time after actual operation, and the determination of the washing liquid concentration after cleaning, it can be proved that the flue gas emission continuous monitoring system proposed in the present invention can use the method of judging condenser abnormalities to accurately and effectively judge whether the amine content in the condenser is too high and needs to be cleaned. The judgment process and method are simple to operate, which can effectively reduce the workload of the operator and improve work efficiency.

[0044] Step 4: After cleaning the condenser, the system response test is performed again as described above. The test results for the three sulfur dioxide gas concentrations of high, medium, and low are as follows: Table 9 Results of the operation of the condenser after cleaning with high concentration of sulfur dioxide

[0045] Table 10 Results of the operation of the condenser after cleaning with medium concentration of sulfur dioxide

[0046] Table 11 Results of the operation of the condenser after cleaning and the introduction of low concentration sulfur dioxide

[0047] As shown in Table 9 above, the operating conditions of the condenser with high concentration of sulfur dioxide introduced within three weeks after cleaning are measured. Table 10 shows the operating conditions of the condenser with medium concentration of sulfur dioxide introduced within three weeks after cleaning. Table 11 shows the operating conditions of the condenser with low concentration of sulfur dioxide introduced within three weeks after cleaning.

[0048] The above-mentioned post-cleaning condenser operation results show that after three weeks of operation, the transmission time (T1), response time (T2), and indication error time (T3) for high, medium, and low concentration sulfur dioxide samples increased, but all met the requirements of HJ 75-2017, "Technical Specifications for Continuous Monitoring of Flue Gas (SO2, NOX, and Particulate Matter) Emissions from Stationary Pollution Sources," which require a system response time of ≤200s and an indication error of no more than ±5%. Furthermore, after three weeks of operation, the condenser was removed and cleaned with distilled water. The amine concentration in the cleaning solution was found to be 2.12wt%, meeting the normal operation requirements for the condenser.

[0049] Step 5: If the above test of low-concentration sulfur dioxide sample gas is used as a benchmark, the system response time and indication error requirements for high-concentration sulfur dioxide sample gas and medium-concentration sulfur dioxide sample gas can be met at the same time. Therefore, the low-concentration sulfur dioxide sample gas operation test is used as a benchmark to establish a benchmark response time abnormality judgment formula. Based on the correlation between the response time and the accumulated amount of amine liquid in the above steps, the condenser response time abnormality judgment formula is established through the following process. It can be used to quantify the degree of amine liquid adhesion in the condenser and trigger a cleaning alarm. The process and formula for establishing the condenser response time abnormality judgment formula are as follows: According to the final benchmark response time round-trip values ​​of sulfur dioxide standard gases with different concentrations in Table 5, the weight coefficient values ​​of high, medium and low concentration sulfur dioxide sample gases are calculated. The results are shown in Table 12 below: Table 12 Weight coefficient values ​​for different concentrations of sulfur dioxide gas

[0050] Among them, α is the transmission time T1 weight coefficient, α=T1 基准 / (T1 基准 +T2 基准 +T3 基准 ); β is the response time T2 weight coefficient, β=T2 基准 / (T1 基准 +T2 基准 +T3 基准 ); γ is the indication error time T3 weight coefficient, γ=T3 基准 / (T1 基准 +T2 基准 +T3 基准 ).

[0051] The comprehensive response deviation index IN is: IN=α·ΔT1+β·ΔT2+γ·ΔT3; Where, ∆T1=(T1 实际 -T1 基准 ) / T1 基准 ; ∆T2=(T2 实际 -T2 基准 ) / T2 基准 ; ∆T3=(T3 实际 -T3 基准 ) / T3 基准 ; According to Table 6-8, the optimal replacement and cleaning time is the third week. The transmission time T1, response time T2, and indication error time T3 at different concentrations measured in the third week in Table 6-8 and the eighth week (i.e., the third week after cleaning) in Table 9-11 are used as the thresholds for the comprehensive response deviation index IN. The calculation results for the thresholds of the comprehensive response deviation index IN for sulfur dioxide samples of different concentrations are as follows: Table 13 Comprehensive response deviation index IN threshold value for high concentration sulfur dioxide gas samples

[0052] Substituting the above threshold into formula (1), we get the comprehensive response deviation index IN of the high-concentration sulfur dioxide sample gas in the third week = 0.1194, and the comprehensive response deviation index IN of the high-concentration sulfur dioxide sample gas in the eighth week = 0.1043. The comprehensive response deviation index IN threshold of the high-concentration sulfur dioxide sample gas is determined as the average, and the comprehensive response deviation index IN of the high-concentration sulfur dioxide sample gas is calculated to be 0.11185, which is rounded to IN. 高浓度 =0.11.

[0053] Table 14 Comprehensive response deviation index IN threshold value for medium concentration sulfur dioxide gas sample

[0054] Substituting the above threshold into formula (1), we get the comprehensive response deviation index IN of the medium-concentration sulfur dioxide gas sample in the third week = 0.3089, and the comprehensive response deviation index IN of the medium-concentration sulfur dioxide gas sample in the eighth week = 0.2609. The comprehensive response deviation index IN threshold of the medium-concentration sulfur dioxide gas sample is determined as the average, and the comprehensive response deviation index IN of the medium-concentration sulfur dioxide gas sample is calculated to be 0.2849, which is rounded to IN. 中浓度 =0.28.

[0055] Table 15 Comprehensive response deviation index IN threshold value for low concentration sulfur dioxide gas sample

[0056] Substituting the above threshold into formula (1), we get the comprehensive response deviation index IN of the third week of low-concentration sulfur dioxide sample gas = 0.5955, the comprehensive response deviation index IN of the eighth week of low-concentration sulfur dioxide sample gas = 0.5555, and determine the comprehensive response deviation index IN threshold of low-concentration sulfur dioxide sample gas as the average, and calculate the comprehensive response deviation index IN of low-concentration sulfur dioxide sample gas = 0.5755, which is rounded to IN 中浓度 =0.57.

[0057] In summary, the judgment thresholds for different concentrations are: High concentration sulfur dioxide sample gas IN≤0.11; Medium concentration sulfur dioxide sample gas IN≤0.28; Low concentration sulfur dioxide sample gas IN≤0.57; When any concentration of sulfur dioxide sample gas IN exceeds the corresponding threshold, it can be determined that the condenser is operating abnormally.

[0058] Step 6: Verify the above-mentioned benchmark response time abnormality judgment formula, taking the low-concentration sulfur dioxide sample gas measurement data from the fourth week as an example: T1 实际 =170s, T2 实际 =50s, T3 实际 =35s; T1 基准 =106s, T2 基准 =11s, T3 基准 =2s; α=0.89, β=0.09, γ=0.02; ∆T1=(170-106) / 106=0.6038; ∆T2=(50-11) / 11=3.5455; ∆T3=(35-2) / 2=16.5; IN=α·ΔT1+β·ΔT2+γ·ΔT3; IN=0.89×0.6038+0.09×3.5455+0.02×16.5=1.186; According to the above calculation, the low-concentration sulfur dioxide sample gas IN in the fourth week is 1.186, which exceeds the calculated threshold standard IN≤0.57, that is, the condenser is operating abnormally, which is consistent with the actual situation judgment in step 2, indicating that the above method is accurate in judging whether the condenser needs to be replaced and cleaned.

[0059] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Those skilled in the art will readily appreciate that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A method for determining condenser abnormality in a continuous flue gas emission monitoring system, characterized in that: The following steps are involved: S1 Take a clean condenser, pass a variety of flue gas samples of different concentrations, and measure the reference transmission time T1 respectively 基准 , benchmark response time T2 基准 Error time T3 from reference indication 基准 ; S2 continuously introduces flue gas samples and measures the transmission time, response time and indication error time in different cycles, and marks the number of cycles n with abnormal values; S3: Remove the condenser and clean it with distilled water, then reinstall it and introduce the same flue gas samples of different concentrations as in step S1. Run it for n cycles and record the transmission time, response time and indication error time within n cycles. S4 is based on the reference transmission time T1 基准 , benchmark response time T2 基准 Error time T3 from reference indication 基准 As a benchmark, calculate the weight coefficients of transmission time, response time and indication error time, which are denoted as α, β and γ respectively; S5 Establish the comprehensive response deviation index IN = α·∆T1+β·∆T2+γ·∆T3 (1) corresponding to different concentrations of flue gas samples; S6 Calculate the reference comprehensive response deviation index IN in step S1 using the comprehensive response deviation index IN calculation formula in step S5 基准 and the benchmark comprehensive response deviation index IN during actual operation 实际 , when IN 实际 >IN 基准 When IN 实际 ≤IN 基准 When the condenser is operating normally.

2. The method for determining condenser abnormality for a continuous flue gas emission monitoring system according to claim 1, characterized in that: In step S1, flue gas samples of different concentrations can be divided into high-concentration flue gas samples, medium-concentration flue gas samples and low-concentration flue gas samples, and the high-concentration flue gas sample is 80-100% of the full scale, the medium-concentration flue gas sample is 50-60% of the full scale, and the low-concentration flue gas sample is 20-30% of the full scale.

3. The method for determining condenser abnormality for a continuous flue gas emission monitoring system according to claim 2, characterized in that: The concentration of various flue gas samples can be set in sequence from 1000 to 1100 mg / m 3 , 600-700mg / m 3 280-380 mg / m 3 .

4. The method for determining condenser abnormality for a continuous flue gas emission monitoring system according to claim 1, characterized in that: In step S2, the division standard of different cycles is: every ≤ 7 days is considered as a cycle.

5. The method for determining condenser abnormality for a continuous flue gas emission monitoring system according to claim 1, characterized in that: In step S2, when the measured indication error time exceeds the reference indication error time T3 in step S1, 基准 If the value is 100±5%, it is recorded as abnormal.

6. The method for determining condenser abnormality for a continuous flue gas emission monitoring system according to claim 1, characterized in that: In step S4, α=T1 基准 / (T1 基准 +T2 基准 +T3 基准 )(2); β=T2 基准 / (T1 基准 +T2 基准 +T3 基准 )(3); <h2 style=";text-align:left;direction:ltr">γ=T3<h2 style=";text-align:left;direction:ltr"> 基准 <h2 style=";text-align:left;direction:ltr"> / (T1<h2 style=";text-align:left;direction:ltr"> 基准 <h2 style=";text-align:left;direction:ltr"> +T2<h2 style=";text-align:left;direction:ltr"> 基准 <h2 style=";text-align:left;direction:ltr"> +T3<h2 style=";text-align:left;direction:ltr"> 基准 <h2 style=";text-align:left;direction:ltr"> (4) And α+β+γ=1.

7. The method for determining condenser abnormality for a continuous flue gas emission monitoring system according to claim 1, characterized in that: In formula (1), ∆T1 = (T1 实际 -T1 基准 ) / T1 基准 (5); ∆T2=(T2 实际 -T2 基准 ) / T2 基准 (6); <h2 style=";text-align:left;direction:ltr">∆T3=(T3<h2 style=";text-align:left;direction:ltr"> 实际 <h2 style=";text-align:left;direction:ltr"> -T3<h2 style=";text-align:left;direction:ltr"> 基准 <h2 style=";text-align:left;direction:ltr"> ) / T3<h2 style=";text-align:left;direction:ltr"> 基准 <h2 style=";text-align:left;direction:ltr"> (7)

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